Multi modal RAG template

cookbook/README.md

@@ -38,7 +38,6 @@ Notebook | Description
 [multiagent_bidding.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/multiagent_bidding.ipynb) | Implement a multi-agent simulation where agents bid to speak, with the highest bidder speaking next, demonstrated through a fictitious presidential debate example.
 [myscale_vector_sql.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/myscale_vector_sql.ipynb) | Access and interact with the myscale integrated vector database, which can enhance the performance of language model (llm) applications.
 [openai_functions_retrieval_qa....](https://github.com/langchain-ai/langchain/tree/master/cookbook/openai_functions_retrieval_qa.ipynb) | Structure response output in a question-answering system by incorporating openai functions into a retrieval pipeline.
-[openai_v1_cookbook.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/openai_v1_cookbook.ipynb) | Explore new functionality released alongside the V1 release of the OpenAI Python library.
 [petting_zoo.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/petting_zoo.ipynb) | Create multi-agent simulations with simulated environments using the petting zoo library.
 [plan_and_execute_agent.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/plan_and_execute_agent.ipynb) | Create plan-and-execute agents that accomplish objectives by planning tasks with a language model (llm) and executing them with a separate agent.
 [press_releases.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/press_releases.ipynb) | Retrieve and query company press release data powered by [Kay.ai](https://kay.ai).

cookbook/openai_v1_cookbook.ipynb

@@ -1,231 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "f970f757-ec76-4bf0-90cd-a2fb68b945e3",
-   "metadata": {},
-   "source": [
-    "# Exploring OpenAI V1 functionality\n",
-    "\n",
-    "On 11.06.23 OpenAI released a number of new features, and along with it bumped their Python SDK to 1.0.0. This notebook shows off the new features and how to use them with LangChain."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ee897729-263a-4073-898f-bb4cf01ed829",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install \"openai>=1\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "c3e067ce-7a43-47a7-bc89-41f1de4cf136",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.schema.messages import HumanMessage, SystemMessage"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fa7e7e95-90a1-4f73-98fe-10c4b4e0951b",
-   "metadata": {},
-   "source": [
-    "## [Vision](https://platform.openai.com/docs/guides/vision)\n",
-    "\n",
-    "OpenAI released multi-modal models, which can take a sequence of text and images as input."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "1c8c3965-d3c9-4186-b5f3-5e67855ef916",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='The image appears to be a diagram representing the architecture or components of a software platform named \"LangChain.\" This diagram outlines various layers and elements of the platform, which seems to be related to language processing or computational linguistics, as suggested by the context clues in the names of the components.\\n\\nHere\\'s a breakdown of the components shown:\\n\\n- **LangSmith**: This seems to be a tool or suite related to testing, evaluation, monitoring, feedback, and annotation within the platform.\\n\\n- **LangServe**: This could represent a service layer that exposes the platform\\'s capabilities as REST API endpoints.\\n\\n- **Templates**: These are likely reference applications provided as starting points or examples for users of the platform.\\n\\n- **Chains, agents, agent executors**: This section describes the common application logic, perhaps indicating that the platform uses a chain of agents or processes to execute tasks.\\n\\n- **Model I/O**: This includes the components related to input/output processing for a model, like prompt, example selector, model, and output parser.\\n\\n- **Retrieval**: These components are involved in retrieving documents, splitting text, and managing embeddings and vector stores, which are important for tasks like search and information retrieval.\\n\\n- **Agent tooling**: This might refer to the tools used for creating,')"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "chat = ChatOpenAI(model=\"gpt-4-vision-preview\", max_tokens=256)\n",
-    "chat.invoke(\n",
-    "    [\n",
-    "        HumanMessage(\n",
-    "            content=[\n",
-    "                {\"type\": \"text\", \"text\": \"What is this image showing\"},\n",
-    "                {\n",
-    "                    \"type\": \"image_url\",\n",
-    "                    \"image_url\": {\n",
-    "                        \"url\": \"https://python.langchain.com/assets/images/langchain_stack-da369071b058555da3d491a695651f15.jpg\",\n",
-    "                        \"detail\": \"auto\",\n",
-    "                    },\n",
-    "                },\n",
-    "            ]\n",
-    "        )\n",
-    "    ]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "71c34763-d1e7-4b9a-a9d7-3e4cc0dfc2c4",
-   "metadata": {},
-   "source": [
-    "## [JSON mode](https://platform.openai.com/docs/guides/text-generation/json-mode)\n",
-    "\n",
-    "Constrain the model to only generate valid JSON. Note that you must include a system message with instructions to use JSON for this mode to work.\n",
-    "\n",
-    "Only works with certain models. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "db6072c4-f3f3-415d-872b-71ea9f3c02bb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{\n",
-      "  \"companies\": [\n",
-      "    {\n",
-      "      \"name\": \"Google\",\n",
-      "      \"origin\": \"USA\"\n",
-      "    },\n",
-      "    {\n",
-      "      \"name\": \"Deepmind\",\n",
-      "      \"origin\": \"UK\"\n",
-      "    }\n",
-      "  ]\n",
-      "}\n"
-     ]
-    }
-   ],
-   "source": [
-    "chat = ChatOpenAI(model=\"gpt-3.5-turbo-1106\").bind(\n",
-    "    response_format={\"type\": \"json_object\"}\n",
-    ")\n",
-    "\n",
-    "output = chat.invoke(\n",
-    "    [\n",
-    "        SystemMessage(\n",
-    "            content=\"Extract the 'name' and 'origin' of any companies mentioned in the following statement. Return a JSON list.\"\n",
-    "        ),\n",
-    "        HumanMessage(\n",
-    "            content=\"Google was founded in the USA, while Deepmind was founded in the UK\"\n",
-    "        ),\n",
-    "    ]\n",
-    ")\n",
-    "print(output.content)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "08e00ccf-b991-4249-846b-9500a0ccbfa0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'companies': [{'name': 'Google', 'origin': 'USA'},\n",
-       "  {'name': 'Deepmind', 'origin': 'UK'}]}"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import json\n",
-    "\n",
-    "json.loads(output.content)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aa9a94d9-4319-4ab7-a979-c475ce6b5f50",
-   "metadata": {},
-   "source": [
-    "## [System fingerprint](https://platform.openai.com/docs/guides/text-generation/reproducible-outputs)\n",
-    "\n",
-    "OpenAI sometimes changes model configurations in a way that impacts outputs. Whenever this happens, the system_fingerprint associated with a generation will change."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "1281883c-bf8f-4665-89cd-4f33ccde69ab",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'token_usage': {'completion_tokens': 43, 'prompt_tokens': 49, 'total_tokens': 92}, 'model_name': 'gpt-3.5-turbo-1106', 'system_fingerprint': 'fp_eeff13170a'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "chat = ChatOpenAI(model=\"gpt-3.5-turbo-1106\")\n",
-    "output = chat.generate(\n",
-    "    [\n",
-    "        [\n",
-    "            SystemMessage(\n",
-    "                content=\"Extract the 'name' and 'origin' of any companies mentioned in the following statement. Return a JSON list.\"\n",
-    "            ),\n",
-    "            HumanMessage(\n",
-    "                content=\"Google was founded in the USA, while Deepmind was founded in the UK\"\n",
-    "            ),\n",
-    "        ]\n",
-    "    ]\n",
-    ")\n",
-    "print(output.llm_output)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5c637ba1-322d-4fc9-b97e-3afa83dc4d72",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "poetry-venv",
-   "language": "python",
-   "name": "poetry-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

cookbook/wikibase_agent.ipynb

@@ -35,7 +35,7 @@
     "tags": []
    },
    "source": [
-    "### API keys and other secrets\n",
+    "### API keys and other secrats\n",
     "\n",
     "We use an `.ini` file, like this: \n",
     "```\n",

docs/.local_build.sh

@@ -15,7 +15,7 @@ poetry run python scripts/model_feat_table.py
 poetry run nbdoc_build --srcdir docs
 cp ../cookbook/README.md src/pages/cookbook.mdx
 cp ../.github/CONTRIBUTING.md docs/contributing.md
-wget https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/langserve.md
+wget https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/guides/deployments/langserve.md
 poetry run python scripts/generate_api_reference_links.py
 yarn install
 yarn start

docs/docs/get_started/introduction.mdx

@@ -8,31 +8,11 @@ sidebar_position: 0
 - **Are context-aware**: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)
 - **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)
 
-This framework consists of several parts.
-You can see how the parts interact with each other below:
-
-![LangChain Diagram](/img/langchain_stack.jpg)
-
-These parts include:
-
-- **[LangChain Packages]**: The Python and JavaScript packages. Contains interfaces and integrations for a myriad of components, a basic run time for combining these components into chains and agents, and off-the-shelf implementations of chains and agents.
-- **[LangChain Templates](https://github.com/langchain-ai/langchain/tree/master/templates)**: A collection of easily deployable reference architectures for a wide variety of tasks.
-- **[LangServe](https://github.com/langchain-ai/langserve)**: A library for deploying LangChain chains as a REST API.
-- **[LangSmith](https://smith.langchain.com/)**: A developer platform that lets you debug, test, evaluate, and monitor chains built on any LLM framework and seamlessly integrates with LangChain.
-
-Together, these products simplify the entire application lifecycle:
-- **Develop**: Write your applications in LangChain/LangChain.js. Hit the ground running using Templates for reference.
-- **Productionize**: Use LangSmith to inspect, test and monitor your chains, so that you can constantly improve and deploy with confidence.
-- **Deploy**: Turn any chain into an API with LangServe.
-
-## LangChain Packages
-
-The main value props of the LangChain packages are:
-1. **Components**: composable tools and integrations for working with language models. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not
-2. **Off-the-shelf chains**: built-in assemblages of components for accomplishing higher-level tasks
-
-Off-the-shelf chains make it easy to get started. Components make it easy to customize existing chains and build new ones.
+The main value props of LangChain are:
+1. **Components**: abstractions for working with language models, along with a collection of implementations for each abstraction. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not
+2. **Off-the-shelf chains**: a structured assembly of components for accomplishing specific higher-level tasks
 
+Off-the-shelf chains make it easy to get started. For complex applications, components make it easy to customize existing chains and build new ones.
 
 ## Get started
 
@@ -40,9 +20,11 @@ Off-the-shelf chains make it easy to get started. Components make it easy to cus
 
 We recommend following our [Quickstart](/docs/get_started/quickstart) guide to familiarize yourself with the framework by building your first LangChain application.
 
+_**Note**: These docs are for the LangChain [Python package](https://github.com/langchain-ai/langchain). For documentation on [LangChain.js](https://github.com/langchain-ai/langchainjs), the JS/TS version, [head here](https://js.langchain.com/docs)._
+
 ## Modules
 
-LangChain provides standard, extendable interfaces and integrations for the following modules, listed from least to most complex:
+LangChain provides standard, extendable interfaces and external integrations for the following modules, listed from least to most complex:
 
 #### [Model I/O](/docs/modules/model_io/)
 Interface with language models
@@ -59,18 +41,21 @@ Log and stream intermediate steps of any chain
 
 ## Examples, ecosystem, and resources
 ### [Use cases](/docs/use_cases/question_answering/)
-Walkthroughs and techniques for common end-to-end use cases, like:
+Walkthroughs and best-practices for common end-to-end use cases, like:
 - [Document question answering](/docs/use_cases/question_answering/)
 - [Chatbots](/docs/use_cases/chatbots/)
 - [Analyzing structured data](/docs/use_cases/qa_structured/sql/)
 - and much more...
 
-### [Guides](/docs/guides/adapters/openai)
-Best practices for developing with LangChain.
+### [Guides](/docs/guides/)
+Learn best practices for developing with LangChain.
 
 ### [Ecosystem](/docs/integrations/providers/)
 LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/providers/) and [dependent repos](/docs/additional_resources/dependents).
 
+### [Additional resources](/docs/additional_resources/)
+Our community is full of prolific developers, creative builders, and fantastic teachers. Check out [YouTube tutorials](/docs/additional_resources/youtube) for great tutorials from folks in the community, and [Gallery](https://github.com/kyrolabs/awesome-langchain) for a list of awesome LangChain projects, compiled by the folks at [KyroLabs](https://kyrolabs.com).
+
 ### [Community](/docs/community)
 Head to the [Community navigator](/docs/community) to find places to ask questions, share feedback, meet other developers, and dream about the future of LLM’s.
 

docs/docs/get_started/quickstart.mdx

@@ -44,24 +44,11 @@ from langchain.llms import OpenAI
 llm = OpenAI(openai_api_key="...")
 ```
 
-## LangSmith Setup
-
-Many of the applications you build with LangChain will contain multiple steps with multiple invocations of LLM calls.
-As these applications get more and more complex, it becomes crucial to be able to inspect what exactly is going on inside your chain or agent.
-The best way to do this is with [LangSmith](https://smith.langchain.com).
-
-Note that LangSmith is not needed, but it is helpful.
-If you do want to use LangSmith, after you sign up at the link above, make sure to set your environment variables to start logging traces:
-
-```shell
-export LANGCHAIN_TRACING_V2="true"
-export LANGCHAIN_API_KEY=...
-```
 
 ## Building an application
 
 Now we can start building our language model application. LangChain provides many modules that can be used to build language model applications.
-Modules can be used as standalones in simple applications and they can be combined for more complex use cases.
+Modules can be used as stand-alones in simple applications and they can be combined for more complex use cases.
 
 The most common and most important chain that LangChain helps create contains three things:
 - LLM: The language model is the core reasoning engine here. In order to work with LangChain, you need to understand the different types of language models and how to work with them.

docs/docs/guides/langsmith/index.md

@@ -1,13 +1,11 @@
----
-sidebar_class_name: hidden
----
-
 # LangSmith
 
+import DocCardList from "@theme/DocCardList";
+
 [LangSmith](https://smith.langchain.com) helps you trace and evaluate your language model applications and intelligent agents to help you
 move from prototype to production.
 
-Check out the [interactive walkthrough](/docs/guides/langsmith/walkthrough) to get started.
+Check out the [interactive walkthrough](/docs/guides/langsmith/walkthrough) below to get started.
 
 For more information, please refer to the [LangSmith documentation](https://docs.smith.langchain.com/).
 
@@ -20,3 +18,5 @@ check out the [LangSmith Cookbook](https://github.com/langchain-ai/langsmith-coo
 - How to fine-tune a LLM on real usage data ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb)).
 - How to use the [LangChain Hub](https://smith.langchain.com/hub) to version your prompts ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb))
 
+
+<DocCardList />

docs/docs/guides/langsmith/walkthrough.ipynb

@@ -7,7 +7,7 @@
     "tags": []
    },
    "source": [
-    "# Walkthrough\n",
+    "# LangSmith Walkthrough\n",
     "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/langsmith/walkthrough.ipynb)\n",
     "\n",
     "LangChain makes it easy to prototype LLM applications and Agents. However, delivering LLM applications to production can be deceptively difficult. You will likely have to heavily customize and iterate on your prompts, chains, and other components to create a high-quality product.\n",
@@ -790,7 +790,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,

docs/docs/integrations/chat_loaders/discord.ipynb

@@ -65,7 +65,9 @@
    "id": "359565a7-dad3-403c-a73c-6414b1295127",
    "metadata": {},
    "source": [
-    "## 2. Define chat loader"
+    "## 2. Define chat loader\n",
+    "\n",
+    "LangChain currently does not support "
    ]
   },
   {

docs/docs/integrations/llms/huggingface_pipelines.ipynb

@@ -41,9 +41,7 @@
    "id": "91ad075f-71d5-4bc8-ab91-cc0ad5ef16bb",
    "metadata": {},
    "source": [
-    "### Model Loading\n",
-    "\n",
-    "Models can be loaded by specifying the model parameters using the `from_model_id` method."
+    "### Load the model"
    ]
   },
   {
@@ -55,12 +53,12 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.llms.huggingface_pipeline import HuggingFacePipeline\n",
+    "from langchain.llms import HuggingFacePipeline\n",
     "\n",
-    "hf = HuggingFacePipeline.from_model_id(\n",
-    "    model_id=\"gpt2\",\n",
+    "llm = HuggingFacePipeline.from_model_id(\n",
+    "    model_id=\"bigscience/bloom-1b7\",\n",
     "    task=\"text-generation\",\n",
-    "    pipeline_kwargs={\"max_new_tokens\": 10},\n",
+    "    model_kwargs={\"temperature\": 0, \"max_length\": 64},\n",
     ")"
    ]
   },
@@ -68,29 +66,6 @@
    "cell_type": "markdown",
    "id": "00104b27-0c15-4a97-b198-4512337ee211",
    "metadata": {},
-   "source": [
-    "They can also be loaded by passing in an existing `transformers` pipeline directly"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.llms.huggingface_pipeline import HuggingFacePipeline\n",
-    "from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline\n",
-    "\n",
-    "model_id = \"gpt2\"\n",
-    "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
-    "model = AutoModelForCausalLM.from_pretrained(model_id)\n",
-    "pipe = pipeline(\"text-generation\", model=model, tokenizer=tokenizer, max_new_tokens=10)\n",
-    "hf = HuggingFacePipeline(pipeline=pipe)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
    "source": [
     "### Create Chain\n",
     "\n",
@@ -112,7 +87,7 @@
     "Answer: Let's think step by step.\"\"\"\n",
     "prompt = PromptTemplate.from_template(template)\n",
     "\n",
-    "chain = prompt | hf\n",
+    "chain = prompt | llm\n",
     "\n",
     "question = \"What is electroencephalography?\"\n",
     "\n",
@@ -123,40 +98,6 @@
    "cell_type": "markdown",
    "id": "dbbc3a37",
    "metadata": {},
-   "source": [
-    "### GPU Inference\n",
-    "\n",
-    "When running on a machine with GPU, you can specify the `device=n` parameter to put the model on the specified device.\n",
-    "Defaults to `-1` for CPU inference.\n",
-    "\n",
-    "If you have multiple-GPUs and/or the model is too large for a single GPU, you can specify `device_map=\"auto\"`, which requires and uses the [Accelerate](https://huggingface.co/docs/accelerate/index) library to automatically determine how to load the model weights. \n",
-    "\n",
-    "*Note*: both `device` and `device_map` should not be specified together and can lead to unexpected behavior."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "gpu_llm = HuggingFacePipeline.from_model_id(\n",
-    "    model_id=\"gpt2\",\n",
-    "    task=\"text-generation\",\n",
-    "    device=0,  # replace with device_map=\"auto\" to use the accelerate library.\n",
-    "    pipeline_kwargs={\"max_new_tokens\": 10},\n",
-    ")\n",
-    "\n",
-    "gpu_chain = prompt | gpu_llm\n",
-    "\n",
-    "question = \"What is electroencephalography?\"\n",
-    "\n",
-    "print(gpu_chain.invoke({\"question\": question}))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
    "source": [
     "### Batch GPU Inference\n",
     "\n",
@@ -206,7 +147,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,

docs/docs/integrations/toolkits/csv.ipynb

@@ -34,7 +34,7 @@
    "source": [
     "## Using `ZERO_SHOT_REACT_DESCRIPTION`\n",
     "\n",
-    "This shows how to initialize the agent using the `ZERO_SHOT_REACT_DESCRIPTION` agent type."
+    "This shows how to initialize the agent using the `ZERO_SHOT_REACT_DESCRIPTION` agent type. Note that this is an alternative to the above."
    ]
   },
   {

docs/docs/integrations/tools/e2b_data_analysis.ipynb

@@ -14,7 +14,7 @@
     "E2B Data Analysis sandbox allows you to:\n",
     "- Run Python code\n",
     "- Generate charts via matplotlib\n",
-    "- Install Python packages dynamically during runtime\n",
+    "- Install Python packages dynamically durint runtime\n",
     "- Install system packages dynamically during runtime\n",
     "- Run shell commands\n",
     "- Upload and download files\n",

docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb

@@ -1,165 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Biadu Cloud ElasticSearch VectorSearch\n",
-    "\n",
-    ">[Baidu Cloud VectorSearch](https://cloud.baidu.com/doc/BES/index.html?from=productToDoc) is a fully managed, enterprise-level distributed search and analysis service which is 100% compatible to open source. Baidu Cloud VectorSearch provides low-cost, high-performance, and reliable retrieval and analysis platform level product services for structured/unstructured data. As a vector database , it supports multiple index types and similarity distance methods. \n",
-    "\n",
-    ">`Baidu Cloud ElasticSearch` provides a privilege management mechanism, for you to  configure the cluster privileges freely, so as to further ensure data security.\n",
-    "\n",
-    "This notebook shows how to use functionality related to the `Baidu Cloud ElasticSearch VectorStore`.\n",
-    "To run, you should have an [Baidu Cloud ElasticSearch](https://cloud.baidu.com/product/bes.html) instance up and running:\n",
-    "\n",
-    "Read the [help document](https://cloud.baidu.com/doc/BES/s/8llyn0hh4 ) to quickly familiarize and configure Baidu Cloud ElasticSearch instance."
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "After the instance is up and running, follow these steps to split documents, get embeddings, connect to the baidu cloud elasticsearch instance, index documents, and perform vector retrieval."
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We need to install the following Python packages first."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#!pip install elasticsearch == 7.11.0"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "First, we want to use `QianfanEmbeddings` so we have to get the Qianfan AK and SK. Details for QianFan is related to [Baidu Qianfan Workshop](https://cloud.baidu.com/product/wenxinworkshop)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import getpass\n",
-    "\n",
-    "os.environ[\"QIANFAN_AK\"] = getpass.getpass(\"Your Qianfan AK:\")\n",
-    "os.environ[\"QIANFAN_SK\"] = getpass.getpass(\"Your Qianfan SK:\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Secondly, split documents and get embeddings."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.document_loaders import TextLoader\n",
-    "\n",
-    "loader = TextLoader(\"../../../state_of_the_union.txt\")\n",
-    "documents = loader.load()\n",
-    "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
-    "docs = text_splitter.split_documents(documents)\n",
-    "\n",
-    "from langchain.embeddings import QianfanEmbeddingsEndpoint\n",
-    "\n",
-    "embeddings = QianfanEmbeddingsEndpoint()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Then, create a Baidu ElasticeSearch accessable instance."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a bes instance and index docs.\n",
-    "from langchain.vectorstores import BESVectorStore\n",
-    "\n",
-    "bes = BESVectorStore.from_documents(\n",
-    "    documents=docs,\n",
-    "    embedding=embeddings,\n",
-    "    bes_url=\"your bes cluster url\",\n",
-    "    index_name=\"your vector index\",\n",
-    ")\n",
-    "bes.client.indices.refresh(index=\"your vector index\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finally, Query and retrive data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "query = \"What did the president say about Ketanji Brown Jackson\"\n",
-    "docs = bes.similarity_search(query)\n",
-    "print(docs[0].page_content)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Please feel free to contact <liuboyao@baidu.com> if you encounter any problems during use, and we will do our best to support you."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "name": "python",
-   "version": "3.9.17"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

docs/docs/integrations/vectorstores/dingo.ipynb

@@ -104,14 +104,11 @@
    "source": [
     "from dingodb import DingoDB\n",
     "\n",
-    "index_name = \"langchain_demo\"\n",
+    "index_name = \"langchain-demo\"\n",
     "\n",
     "dingo_client = DingoDB(user=\"\", password=\"\", host=[\"127.0.0.1:13000\"])\n",
     "# First, check if our index already exists. If it doesn't, we create it\n",
-    "if (\n",
-    "    index_name not in dingo_client.get_index()\n",
-    "    and index_name.upper() not in dingo_client.get_index()\n",
-    "):\n",
+    "if index_name not in dingo_client.get_index():\n",
     "    # we create a new index, modify to your own\n",
     "    dingo_client.create_index(\n",
     "        index_name=index_name, dimension=1536, metric_type=\"cosine\", auto_id=False\n",

docs/docs/use_cases/qa_structured/sql.ipynb

@@ -524,6 +524,7 @@
     "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "db = SQLDatabase.from_uri(\"sqlite:///Chinook.db\")\n",
+    "llm = OpenAI(temperature=0, verbose=True)\n",
     "\n",
     "agent_executor = create_sql_agent(\n",
     "    llm=OpenAI(temperature=0),\n",

docs/docusaurus.config.js

@@ -159,12 +159,6 @@ const config = {
             sidebarId: "integrations",
             label: "Integrations",
           },
-          {
-            type: "docSidebar",
-            position: "left",
-            sidebarId: "guides",
-            label: "Guides",
-          },
           {
             href: "https://api.python.langchain.com",
             label: "API",
@@ -198,31 +192,30 @@ const config = {
               { label: "Gallery", href: "https://github.com/kyrolabs/awesome-langchain" }
             ]
           },
-          {
-            href: "https://chat.langchain.com",
-            label: "Chat our docs",
-            position: "right",
-          },
           {
             type: "dropdown",
             label: "Also by LangChain",
             position: "right",
             items: [
               {
-                href: "https://smith.langchain.com",
-                label: "LangSmith",
+                href: "https://chat.langchain.com",
+                label: "Chat our docs",
               },
               {
-                href: "https://github.com/langchain-ai/langserve",
-                label: "LangServe GitHub",
+                href: "https://smith.langchain.com",
+                label: "LangSmith",
               },
               {
                 href: "https://smith.langchain.com/hub",
                 label: "LangChain Hub",
               },
               {
-                href: "https://js.langchain.com",
-                label: "JS/TS Docs",
+                href: "https://github.com/langchain-ai/langserve",
+                label: "LangServe",
+              },
+              {
+                href: "https://js.langchain.com/docs",
+                label: "JS/TS",
               },
             ]
           },

docs/sidebars.js

@@ -26,7 +26,7 @@ module.exports = {
       label: "Get started",
       collapsed: false,
       collapsible: false,
-      items: [{ type: "autogenerated", dirName: "get_started" }, "security"],
+      items: [{ type: "autogenerated", dirName: "get_started" }],
       link: {
         type: 'generated-index',
         description: 'Get started with LangChain',
@@ -46,24 +46,29 @@ module.exports = {
     {
       type: "category",
       label: "Modules",
-      collapsed: true,
+      collapsed: false,
       items: [{ type: "autogenerated", dirName: "modules" } ],
       link: {
         type: 'doc',
         id: "modules/index"
       },
     },
-    {type: "doc", id: "langserve", label: "LangServe"},
+    {
+      type: "doc",
+      label: "Security",
+      id: "security",
+    },
     {
       type: "category",
-      label: "LangSmith",
+      label: "Guides",
       collapsed: true,
-      items: [{ type: "autogenerated", dirName: "langsmith" } ],
+      items: [{ type: "autogenerated", dirName: "guides" }],
       link: {
-        type: 'doc',
-        id: "langsmith/index"
+        type: 'generated-index',
+        description: 'Design guides for key parts of the development process',
+        slug: "guides",
       },
-    },
+    }
   ],
   integrations: [
     {
@@ -106,7 +111,4 @@ module.exports = {
   use_cases: [
     {type: "autogenerated", dirName: "use_cases" }
   ],
-  guides: [
-    {type: "autogenerated", dirName: "guides" }
-  ],
 };

docs/vercel_build.sh

@@ -50,5 +50,5 @@ python3.11 scripts/model_feat_table.py
 nbdoc_build --srcdir docs
 cp ../cookbook/README.md src/pages/cookbook.mdx
 cp ../.github/CONTRIBUTING.md docs/contributing.md
-wget https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/langserve.md
+wget https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/guides/deployments/langserve.md
 python3.11 scripts/generate_api_reference_links.py

libs/cli/langchain_cli/cli.py

@@ -6,7 +6,7 @@ from typing_extensions import Annotated
 from langchain_cli.namespaces import app as app_namespace
 from langchain_cli.namespaces import template as template_namespace
 
-__version__ = "0.0.15"
+__version__ = "0.0.14"
 
 app = typer.Typer(no_args_is_help=True, add_completion=False)
 app.add_typer(

libs/cli/langchain_cli/namespaces/app.py

@@ -4,7 +4,6 @@ Manage LangChain apps
 
 import shutil
 import subprocess
-import sys
 from pathlib import Path
 from typing import Dict, List, Optional, Tuple
 
@@ -220,9 +219,6 @@ def serve(
     Starts the LangServe app.
     """
 
-    # add current dir as first entry of path
-    sys.path.append(str(Path.cwd()))
-
     app_str = app if app is not None else "app.server:app"
     host_str = host if host is not None else "127.0.0.1"
 

libs/cli/langchain_cli/package_template/.gitignore

@@ -1 +0,0 @@
-__pycache__

libs/cli/langchain_cli/package_template/README.md

@@ -11,7 +11,7 @@ TODO: What environment variables need to be set (if any)
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

libs/cli/langchain_cli/project_template/.gitignore

@@ -1 +0,0 @@
-__pycache__

libs/cli/langchain_cli/project_template/README.md

@@ -5,7 +5,7 @@
 Install the LangChain CLI if you haven't yet
 
 ```bash
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 ## Adding packages

libs/cli/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-cli"
-version = "0.0.15"
+version = "0.0.14"
 description = "CLI for interacting with LangChain"
 authors = ["Erick Friis <erick@langchain.dev>"]
 readme = "README.md"

libs/langchain/langchain/agents/openai_functions_multi_agent/base.py

@@ -87,9 +87,7 @@ def _parse_ai_message(message: BaseMessage) -> Union[List[AgentAction], AgentFin
             final_tools.append(_tool)
         return final_tools
 
-    return AgentFinish(
-        return_values={"output": message.content}, log=str(message.content)
-    )
+    return AgentFinish(return_values={"output": message.content}, log=message.content)
 
 
 class OpenAIMultiFunctionsAgent(BaseMultiActionAgent):

libs/langchain/langchain/agents/output_parsers/openai_functions.py

@@ -72,7 +72,7 @@ class OpenAIFunctionsAgentOutputParser(AgentOutputParser):
             )
 
         return AgentFinish(
-            return_values={"output": message.content}, log=str(message.content)
+            return_values={"output": message.content}, log=message.content
         )
 
     def parse_result(

libs/langchain/langchain/agents/structured_chat/output_parser.py

@@ -18,7 +18,7 @@ logger = logging.getLogger(__name__)
 class StructuredChatOutputParser(AgentOutputParser):
     """Output parser for the structured chat agent."""
 
-    pattern = re.compile(r"```(?:json\s+)?(\W.*?)```", re.DOTALL)
+    pattern = re.compile(r"```(?:json)?\n(.*?)```", re.DOTALL)
 
     def get_format_instructions(self) -> str:
         return FORMAT_INSTRUCTIONS

libs/langchain/langchain/callbacks/infino_callback.py

@@ -1,5 +1,5 @@
 import time
-from typing import Any, Dict, List, Optional, cast
+from typing import Any, Dict, List, Optional
 
 from langchain.callbacks.base import BaseCallbackHandler
 from langchain.schema import AgentAction, AgentFinish, LLMResult
@@ -232,9 +232,7 @@ class InfinoCallbackHandler(BaseCallbackHandler):
                     self.chat_openai_model_name = model_name
                     prompt_tokens = 0
                     for message_list in messages:
-                        message_string = " ".join(
-                            cast(str, msg.content) for msg in message_list
-                        )
+                        message_string = " ".join(msg.content for msg in message_list)
                         num_tokens = get_num_tokens(
                             message_string,
                             openai_model_name=self.chat_openai_model_name,
@@ -251,9 +249,7 @@ class InfinoCallbackHandler(BaseCallbackHandler):
             )
 
         # Send the prompt to infino
-        prompt = " ".join(
-            cast(str, msg.content) for sublist in messages for msg in sublist
-        )
+        prompt = " ".join(msg.content for sublist in messages for msg in sublist)
         self._send_to_infino("prompt", prompt, is_ts=False)
 
         # Set the error flag to indicate no error (this will get overridden

libs/langchain/langchain/chat_loaders/utils.py

@@ -21,11 +21,6 @@ def merge_chat_runs_in_session(
     """
     messages: List[BaseMessage] = []
     for message in chat_session["messages"]:
-        if not isinstance(message.content, str):
-            raise ValueError(
-                "Chat Loaders only support messages with content type string, "
-                f"got {message.content}"
-            )
         if not messages:
             messages.append(deepcopy(message))
         elif (
@@ -34,11 +29,6 @@ def merge_chat_runs_in_session(
             and messages[-1].additional_kwargs["sender"]
             == message.additional_kwargs.get("sender")
         ):
-            if not isinstance(messages[-1].content, str):
-                raise ValueError(
-                    "Chat Loaders only support messages with content type string, "
-                    f"got {messages[-1].content}"
-                )
             messages[-1].content = (
                 messages[-1].content + delimiter + message.content
             ).strip()

libs/langchain/langchain/chat_models/anthropic.py

@@ -1,4 +1,4 @@
-from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, cast
+from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -27,15 +27,14 @@ def _convert_one_message_to_text(
     human_prompt: str,
     ai_prompt: str,
 ) -> str:
-    content = cast(str, message.content)
     if isinstance(message, ChatMessage):
-        message_text = f"\n\n{message.role.capitalize()}: {content}"
+        message_text = f"\n\n{message.role.capitalize()}: {message.content}"
     elif isinstance(message, HumanMessage):
-        message_text = f"{human_prompt} {content}"
+        message_text = f"{human_prompt} {message.content}"
     elif isinstance(message, AIMessage):
-        message_text = f"{ai_prompt} {content}"
+        message_text = f"{ai_prompt} {message.content}"
     elif isinstance(message, SystemMessage):
-        message_text = content
+        message_text = message.content
     else:
         raise ValueError(f"Got unknown type {message}")
     return message_text

libs/langchain/langchain/chat_models/anyscale.py

@@ -30,8 +30,6 @@ DEFAULT_MODEL = "meta-llama/Llama-2-7b-chat-hf"
 class ChatAnyscale(ChatOpenAI):
     """`Anyscale` Chat large language models.
 
-    See https://www.anyscale.com/ for information about Anyscale.
-
     To use, you should have the ``openai`` python package installed, and the
     environment variable ``ANYSCALE_API_KEY`` set with your API key.
     Alternatively, you can use the anyscale_api_key keyword argument.
@@ -55,7 +53,7 @@ class ChatAnyscale(ChatOpenAI):
     def lc_secrets(self) -> Dict[str, str]:
         return {"anyscale_api_key": "ANYSCALE_API_KEY"}
 
-    anyscale_api_key: SecretStr
+    anyscale_api_key: Optional[SecretStr] = None
     """AnyScale Endpoints API keys."""
     model_name: str = Field(default=DEFAULT_MODEL, alias="model")
     """Model name to use."""
@@ -100,12 +98,7 @@ class ChatAnyscale(ChatOpenAI):
     @root_validator(pre=True)
     def validate_environment_override(cls, values: dict) -> dict:
         """Validate that api key and python package exists in environment."""
-        values["openai_api_key"] = get_from_dict_or_env(
-            values,
-            "anyscale_api_key",
-            "ANYSCALE_API_KEY",
-        )
-        values["anyscale_api_key"] = convert_to_secret_str(
+        values["openai_api_key"] = convert_to_secret_str(
             get_from_dict_or_env(
                 values,
                 "anyscale_api_key",

libs/langchain/langchain/chat_models/azure_openai.py

@@ -2,10 +2,10 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Dict, Union
+from typing import Any, Dict, Mapping
 
-from langchain.chat_models.openai import ChatOpenAI, _is_openai_v1
-from langchain.pydantic_v1 import BaseModel, Field, root_validator
+from langchain.chat_models.openai import ChatOpenAI
+from langchain.pydantic_v1 import root_validator
 from langchain.schema import ChatResult
 from langchain.utils import get_from_dict_or_env
 
@@ -51,13 +51,13 @@ class AzureChatOpenAI(ChatOpenAI):
     in, even if not explicitly saved on this class.
     """
 
-    deployment_name: str = Field(default="", alias="azure_deployment")
+    deployment_name: str = ""
     model_version: str = ""
     openai_api_type: str = ""
-    openai_api_base: str = Field(default="", alias="azure_endpoint")
-    openai_api_version: str = Field(default="", alias="api_version")
-    openai_api_key: str = Field(default="", alias="api_key")
-    openai_organization: str = Field(default="", alias="organization")
+    openai_api_base: str = ""
+    openai_api_version: str = ""
+    openai_api_key: str = ""
+    openai_organization: str = ""
     openai_proxy: str = ""
 
     @root_validator()
@@ -101,27 +101,14 @@ class AzureChatOpenAI(ChatOpenAI):
                 "Could not import openai python package. "
                 "Please install it with `pip install openai`."
             )
-        if _is_openai_v1():
-            values["client"] = openai.AzureOpenAI(
-                azure_endpoint=values["openai_api_base"],
-                api_key=values["openai_api_key"],
-                timeout=values["request_timeout"],
-                max_retries=values["max_retries"],
-                organization=values["openai_organization"],
-                api_version=values["openai_api_version"],
-                azure_deployment=values["deployment_name"],
-            ).chat.completions
-            values["async_client"] = openai.AsyncAzureOpenAI(
-                azure_endpoint=values["openai_api_base"],
-                api_key=values["openai_api_key"],
-                timeout=values["request_timeout"],
-                max_retries=values["max_retries"],
-                organization=values["openai_organization"],
-                api_version=values["openai_api_version"],
-                azure_deployment=values["deployment_name"],
-            ).chat.completions
-        else:
+        try:
             values["client"] = openai.ChatCompletion
+        except AttributeError:
+            raise ValueError(
+                "`openai` has no `ChatCompletion` attribute, this is likely "
+                "due to an old version of the openai package. Try upgrading it "
+                "with `pip install --upgrade openai`."
+            )
         if values["n"] < 1:
             raise ValueError("n must be at least 1.")
         if values["n"] > 1 and values["streaming"]:
@@ -131,13 +118,10 @@ class AzureChatOpenAI(ChatOpenAI):
     @property
     def _default_params(self) -> Dict[str, Any]:
         """Get the default parameters for calling OpenAI API."""
-        if _is_openai_v1():
-            return super()._default_params
-        else:
-            return {
-                **super()._default_params,
-                "engine": self.deployment_name,
-            }
+        return {
+            **super()._default_params,
+            "engine": self.deployment_name,
+        }
 
     @property
     def _identifying_params(self) -> Dict[str, Any]:
@@ -147,14 +131,11 @@ class AzureChatOpenAI(ChatOpenAI):
     @property
     def _client_params(self) -> Dict[str, Any]:
         """Get the config params used for the openai client."""
-        if _is_openai_v1():
-            return super()._client_params
-        else:
-            return {
-                **super()._client_params,
-                "api_type": self.openai_api_type,
-                "api_version": self.openai_api_version,
-            }
+        return {
+            **super()._client_params,
+            "api_type": self.openai_api_type,
+            "api_version": self.openai_api_version,
+        }
 
     @property
     def _llm_type(self) -> str:
@@ -167,9 +148,7 @@ class AzureChatOpenAI(ChatOpenAI):
             "openai_api_version": self.openai_api_version,
         }
 
-    def _create_chat_result(self, response: Union[dict, BaseModel]) -> ChatResult:
-        if not isinstance(response, dict):
-            response = response.dict()
+    def _create_chat_result(self, response: Mapping[str, Any]) -> ChatResult:
         for res in response["choices"]:
             if res.get("finish_reason", None) == "content_filter":
                 raise ValueError(

libs/langchain/langchain/chat_models/azureml_endpoint.py

@@ -1,5 +1,5 @@
 import json
-from typing import Any, Dict, List, Optional, cast
+from typing import Any, Dict, List, Optional
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
 from langchain.chat_models.base import SimpleChatModel
@@ -23,21 +23,26 @@ class LlamaContentFormatter(ContentFormatterBase):
     @staticmethod
     def _convert_message_to_dict(message: BaseMessage) -> Dict:
         """Converts message to a dict according to role"""
-        content = cast(str, message.content)
         if isinstance(message, HumanMessage):
             return {
                 "role": "user",
-                "content": ContentFormatterBase.escape_special_characters(content),
+                "content": ContentFormatterBase.escape_special_characters(
+                    message.content
+                ),
             }
         elif isinstance(message, AIMessage):
             return {
                 "role": "assistant",
-                "content": ContentFormatterBase.escape_special_characters(content),
+                "content": ContentFormatterBase.escape_special_characters(
+                    message.content
+                ),
             }
         elif isinstance(message, SystemMessage):
             return {
                 "role": "system",
-                "content": ContentFormatterBase.escape_special_characters(content),
+                "content": ContentFormatterBase.escape_special_characters(
+                    message.content
+                ),
             }
         elif (
             isinstance(message, ChatMessage)
@@ -45,7 +50,9 @@ class LlamaContentFormatter(ContentFormatterBase):
         ):
             return {
                 "role": message.role,
-                "content": ContentFormatterBase.escape_special_characters(content),
+                "content": ContentFormatterBase.escape_special_characters(
+                    message.content
+                ),
             }
         else:
             supported = ",".join(

libs/langchain/langchain/chat_models/baidu_qianfan_endpoint.py

@@ -1,7 +1,15 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional, cast
+from typing import (
+    Any,
+    AsyncIterator,
+    Dict,
+    Iterator,
+    List,
+    Mapping,
+    Optional,
+)
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -203,7 +211,7 @@ class QianfanChatEndpoint(BaseChatModel):
         for i in [i for i, m in enumerate(messages) if isinstance(m, SystemMessage)]:
             if "system" not in messages_dict:
                 messages_dict["system"] = ""
-            messages_dict["system"] += cast(str, messages[i].content) + "\n"
+            messages_dict["system"] += messages[i].content + "\n"
 
         return {
             **messages_dict,

libs/langchain/langchain/chat_models/base.py

@@ -634,10 +634,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
         else:
             _stop = list(stop)
         result = self([HumanMessage(content=text)], stop=_stop, **kwargs)
-        if isinstance(result.content, str):
-            return result.content
-        else:
-            raise ValueError("Cannot use predict when output is not a string.")
+        return result.content
 
     def predict_messages(
         self,
@@ -662,10 +659,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
         result = await self._call_async(
             [HumanMessage(content=text)], stop=_stop, **kwargs
         )
-        if isinstance(result.content, str):
-            return result.content
-        else:
-            raise ValueError("Cannot use predict when output is not a string.")
+        return result.content
 
     async def apredict_messages(
         self,

libs/langchain/langchain/chat_models/google_palm.py

@@ -2,7 +2,7 @@
 from __future__ import annotations
 
 import logging
-from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional
 
 from tenacity import (
     before_sleep_log,
@@ -114,7 +114,7 @@ def _messages_to_prompt_dict(
         if isinstance(input_message, SystemMessage):
             if index != 0:
                 raise ChatGooglePalmError("System message must be first input message.")
-            context = cast(str, input_message.content)
+            context = input_message.content
         elif isinstance(input_message, HumanMessage) and input_message.example:
             if messages:
                 raise ChatGooglePalmError(

libs/langchain/langchain/chat_models/human.py

@@ -58,10 +58,7 @@ def _collect_yaml_input(
         if message is None:
             return HumanMessage(content="")
         if stop:
-            if isinstance(message.content, str):
-                message.content = enforce_stop_tokens(message.content, stop)
-            else:
-                raise ValueError("Cannot use when output is not a string.")
+            message.content = enforce_stop_tokens(message.content, stop)
         return message
     except yaml.YAMLError:
         raise ValueError("Invalid YAML string entered.")

libs/langchain/langchain/chat_models/konko.py

@@ -21,8 +21,8 @@ from langchain.adapters.openai import convert_dict_to_message, convert_message_t
 from langchain.callbacks.manager import (
     CallbackManagerForLLMRun,
 )
-from langchain.chat_models.base import BaseChatModel, _generate_from_stream
-from langchain.chat_models.openai import _convert_delta_to_message_chunk
+from langchain.chat_models.base import _generate_from_stream
+from langchain.chat_models.openai import ChatOpenAI, _convert_delta_to_message_chunk
 from langchain.pydantic_v1 import Field, root_validator
 from langchain.schema import ChatGeneration, ChatResult
 from langchain.schema.messages import AIMessageChunk, BaseMessage
@@ -35,7 +35,7 @@ DEFAULT_MODEL = "meta-llama/Llama-2-13b-chat-hf"
 logger = logging.getLogger(__name__)
 
 
-class ChatKonko(BaseChatModel):
+class ChatKonko(ChatOpenAI):
     """`ChatKonko` Chat large language models API.
 
     To use, you should have the ``konko`` python package installed, and the

libs/langchain/langchain/chat_models/minimax.py

@@ -1,6 +1,6 @@
 """Wrapper around Minimax chat models."""
 import logging
-from typing import Any, Dict, List, Optional, cast
+from typing import Any, Dict, List, Optional
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -27,11 +27,10 @@ def _parse_chat_history(history: List[BaseMessage]) -> List:
     """Parse a sequence of messages into history."""
     chat_history = []
     for message in history:
-        content = cast(str, message.content)
         if isinstance(message, HumanMessage):
-            chat_history.append(_parse_message("USER", content))
+            chat_history.append(_parse_message("USER", message.content))
         if isinstance(message, AIMessage):
-            chat_history.append(_parse_message("BOT", content))
+            chat_history.append(_parse_message("BOT", message.content))
     return chat_history
 
 

libs/langchain/langchain/chat_models/openai.py

@@ -3,7 +3,6 @@ from __future__ import annotations
 
 import logging
 import sys
-from importlib.metadata import version
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -20,8 +19,6 @@ from typing import (
     Union,
 )
 
-from packaging.version import Version, parse
-
 from langchain.adapters.openai import convert_dict_to_message, convert_message_to_dict
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -47,13 +44,9 @@ from langchain.schema.messages import (
 )
 from langchain.schema.output import ChatGenerationChunk
 from langchain.schema.runnable import Runnable
-from langchain.utils import (
-    get_from_dict_or_env,
-    get_pydantic_field_names,
-)
+from langchain.utils import get_from_dict_or_env, get_pydantic_field_names
 
 if TYPE_CHECKING:
-    import httpx
     import tiktoken
 
 
@@ -98,9 +91,6 @@ async def acompletion_with_retry(
     **kwargs: Any,
 ) -> Any:
     """Use tenacity to retry the async completion call."""
-    if _is_openai_v1():
-        return await llm.async_client.create(**kwargs)
-
     retry_decorator = _create_retry_decorator(llm, run_manager=run_manager)
 
     @retry_decorator
@@ -118,11 +108,6 @@ def _convert_delta_to_message_chunk(
     content = _dict.get("content") or ""
     if _dict.get("function_call"):
         additional_kwargs = {"function_call": dict(_dict["function_call"])}
-        if (
-            "name" in additional_kwargs["function_call"]
-            and additional_kwargs["function_call"]["name"] is None
-        ):
-            additional_kwargs["function_call"]["name"] = ""
     else:
         additional_kwargs = {}
 
@@ -140,11 +125,6 @@ def _convert_delta_to_message_chunk(
         return default_class(content=content)
 
 
-def _is_openai_v1() -> bool:
-    _version = parse(version("openai"))
-    return _version >= Version("1.0.0")
-
-
 class ChatOpenAI(BaseChatModel):
     """`OpenAI` Chat large language models API.
 
@@ -186,28 +166,22 @@ class ChatOpenAI(BaseChatModel):
         return True
 
     client: Any = None  #: :meta private:
-    async_client: Any = None  #: :meta private:
     model_name: str = Field(default="gpt-3.5-turbo", alias="model")
     """Model name to use."""
     temperature: float = 0.7
     """What sampling temperature to use."""
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `create` call not explicitly specified."""
-    # When updating this to use a SecretStr
-    # Check for classes that derive from this class (as some of them
-    # may assume openai_api_key is a str)
-    openai_api_key: Optional[str] = Field(default=None, alias="api_key")
+    openai_api_key: Optional[str] = None
     """Base URL path for API requests, 
     leave blank if not using a proxy or service emulator."""
-    openai_api_base: Optional[str] = Field(default=None, alias="base_url")
-    openai_organization: Optional[str] = Field(default=None, alias="organization")
+    openai_api_base: Optional[str] = None
+    openai_organization: Optional[str] = None
     # to support explicit proxy for OpenAI
     openai_proxy: Optional[str] = None
-    request_timeout: Union[float, Tuple[float, float], httpx.Timeout, None] = Field(
-        default=None, alias="timeout"
-    )
+    request_timeout: Optional[Union[float, Tuple[float, float]]] = None
     """Timeout for requests to OpenAI completion API. Default is 600 seconds."""
-    max_retries: int = 2
+    max_retries: int = 6
     """Maximum number of retries to make when generating."""
     streaming: bool = False
     """Whether to stream the results or not."""
@@ -289,24 +263,14 @@ class ChatOpenAI(BaseChatModel):
                 "Could not import openai python package. "
                 "Please install it with `pip install openai`."
             )
-
-        if _is_openai_v1():
-            values["client"] = openai.OpenAI(
-                api_key=values["openai_api_key"],
-                timeout=values["request_timeout"],
-                max_retries=values["max_retries"],
-                organization=values["openai_organization"],
-                base_url=values["openai_api_base"] or None,
-            ).chat.completions
-            values["async_client"] = openai.AsyncOpenAI(
-                api_key=values["openai_api_key"],
-                timeout=values["request_timeout"],
-                max_retries=values["max_retries"],
-                organization=values["openai_organization"],
-                base_url=values["openai_api_base"] or None,
-            ).chat.completions
-        else:
+        try:
             values["client"] = openai.ChatCompletion
+        except AttributeError:
+            raise ValueError(
+                "`openai` has no `ChatCompletion` attribute, this is likely "
+                "due to an old version of the openai package. Try upgrading it "
+                "with `pip install --upgrade openai`."
+            )
         if values["n"] < 1:
             raise ValueError("n must be at least 1.")
         if values["n"] > 1 and values["streaming"]:
@@ -316,24 +280,20 @@ class ChatOpenAI(BaseChatModel):
     @property
     def _default_params(self) -> Dict[str, Any]:
         """Get the default parameters for calling OpenAI API."""
-        params = {
+        return {
             "model": self.model_name,
+            "request_timeout": self.request_timeout,
+            "max_tokens": self.max_tokens,
             "stream": self.streaming,
             "n": self.n,
             "temperature": self.temperature,
             **self.model_kwargs,
         }
-        if self.max_tokens is not None:
-            params["max_tokens"] = self.max_tokens
-        return params
 
     def completion_with_retry(
         self, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any
     ) -> Any:
         """Use tenacity to retry the completion call."""
-        if _is_openai_v1():
-            return self.client.create(**kwargs)
-
         retry_decorator = _create_retry_decorator(self, run_manager=run_manager)
 
         @retry_decorator
@@ -344,7 +304,6 @@ class ChatOpenAI(BaseChatModel):
 
     def _combine_llm_outputs(self, llm_outputs: List[Optional[dict]]) -> dict:
         overall_token_usage: dict = {}
-        system_fingerprint = None
         for output in llm_outputs:
             if output is None:
                 # Happens in streaming
@@ -355,12 +314,7 @@ class ChatOpenAI(BaseChatModel):
                     overall_token_usage[k] += v
                 else:
                     overall_token_usage[k] = v
-            if system_fingerprint is None:
-                system_fingerprint = output.get("system_fingerprint")
-        combined = {"token_usage": overall_token_usage, "model_name": self.model_name}
-        if system_fingerprint:
-            combined["system_fingerprint"] = system_fingerprint
-        return combined
+        return {"token_usage": overall_token_usage, "model_name": self.model_name}
 
     def _stream(
         self,
@@ -376,8 +330,6 @@ class ChatOpenAI(BaseChatModel):
         for chunk in self.completion_with_retry(
             messages=message_dicts, run_manager=run_manager, **params
         ):
-            if not isinstance(chunk, dict):
-                chunk = chunk.dict()
             if len(chunk["choices"]) == 0:
                 continue
             choice = chunk["choices"][0]
@@ -426,10 +378,8 @@ class ChatOpenAI(BaseChatModel):
         message_dicts = [convert_message_to_dict(m) for m in messages]
         return message_dicts, params
 
-    def _create_chat_result(self, response: Union[dict, BaseModel]) -> ChatResult:
+    def _create_chat_result(self, response: Mapping[str, Any]) -> ChatResult:
         generations = []
-        if not isinstance(response, dict):
-            response = response.dict()
         for res in response["choices"]:
             message = convert_dict_to_message(res["message"])
             gen = ChatGeneration(
@@ -438,11 +388,7 @@ class ChatOpenAI(BaseChatModel):
             )
             generations.append(gen)
         token_usage = response.get("usage", {})
-        llm_output = {
-            "token_usage": token_usage,
-            "model_name": self.model_name,
-            "system_fingerprint": response.get("system_fingerprint", ""),
-        }
+        llm_output = {"token_usage": token_usage, "model_name": self.model_name}
         return ChatResult(generations=generations, llm_output=llm_output)
 
     async def _astream(
@@ -459,8 +405,6 @@ class ChatOpenAI(BaseChatModel):
         async for chunk in await acompletion_with_retry(
             self, messages=message_dicts, run_manager=run_manager, **params
         ):
-            if not isinstance(chunk, dict):
-                chunk = chunk.dict()
             if len(chunk["choices"]) == 0:
                 continue
             choice = chunk["choices"][0]
@@ -508,16 +452,11 @@ class ChatOpenAI(BaseChatModel):
     def _client_params(self) -> Dict[str, Any]:
         """Get the parameters used for the openai client."""
         openai_creds: Dict[str, Any] = {
+            "api_key": self.openai_api_key,
+            "api_base": self.openai_api_base,
+            "organization": self.openai_organization,
             "model": self.model_name,
         }
-        if not _is_openai_v1():
-            openai_creds.update(
-                {
-                    "api_key": self.openai_api_key,
-                    "api_base": self.openai_api_base,
-                    "organization": self.openai_organization,
-                }
-            )
         if self.openai_proxy:
             import openai
 

libs/langchain/langchain/chat_models/pai_eas_endpoint.py

@@ -2,7 +2,7 @@ import asyncio
 import json
 import logging
 from functools import partial
-from typing import Any, AsyncIterator, Dict, List, Optional, cast
+from typing import Any, AsyncIterator, Dict, List, Optional
 
 import requests
 
@@ -133,24 +133,23 @@ class PaiEasChatEndpoint(BaseChatModel):
 
         for message in messages:
             """Converts message to a dict according to role"""
-            content = cast(str, message.content)
             if isinstance(message, HumanMessage):
-                user_content = user_content + [content]
+                user_content = user_content + [message.content]
             elif isinstance(message, AIMessage):
-                assistant_content = assistant_content + [content]
+                assistant_content = assistant_content + [message.content]
             elif isinstance(message, SystemMessage):
-                prompt["system_prompt"] = content
+                prompt["system_prompt"] = message.content
             elif isinstance(message, ChatMessage) and message.role in [
                 "user",
                 "assistant",
                 "system",
             ]:
                 if message.role == "system":
-                    prompt["system_prompt"] = content
+                    prompt["system_prompt"] = message.content
                 elif message.role == "user":
-                    user_content = user_content + [content]
+                    user_content = user_content + [message.content]
                 elif message.role == "assistant":
-                    assistant_content = assistant_content + [content]
+                    assistant_content = assistant_content + [message.content]
             else:
                 supported = ",".join([role for role in ["user", "assistant", "system"]])
                 raise ValueError(
@@ -295,7 +294,7 @@ class PaiEasChatEndpoint(BaseChatModel):
                 # yield text, if any
                 if text:
                     if run_manager:
-                        await run_manager.on_llm_new_token(cast(str, content.content))
+                        await run_manager.on_llm_new_token(content.content)
                     yield ChatGenerationChunk(message=content)
 
                 # break if stop sequence found

libs/langchain/langchain/chat_models/vertexai.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 
 import logging
 from dataclasses import dataclass, field
-from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast
+from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -57,9 +57,8 @@ def _parse_chat_history(history: List[BaseMessage]) -> _ChatHistory:
 
     vertex_messages, context = [], None
     for i, message in enumerate(history):
-        content = cast(str, message.content)
         if i == 0 and isinstance(message, SystemMessage):
-            context = content
+            context = message.content
         elif isinstance(message, AIMessage):
             vertex_message = ChatMessage(content=message.content, author="bot")
             vertex_messages.append(vertex_message)

libs/langchain/langchain/chat_models/yandex.py

@@ -1,6 +1,6 @@
 """Wrapper around YandexGPT chat models."""
 import logging
-from typing import Any, Dict, List, Optional, Tuple, cast
+from typing import Any, Dict, List, Optional, Tuple
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
@@ -34,13 +34,12 @@ def _parse_chat_history(history: List[BaseMessage]) -> Tuple[List[Dict[str, str]
     chat_history = []
     instruction = ""
     for message in history:
-        content = cast(str, message.content)
         if isinstance(message, HumanMessage):
-            chat_history.append(_parse_message("user", content))
+            chat_history.append(_parse_message("user", message.content))
         if isinstance(message, AIMessage):
-            chat_history.append(_parse_message("assistant", content))
+            chat_history.append(_parse_message("assistant", message.content))
         if isinstance(message, SystemMessage):
-            instruction = content
+            instruction = message.content
     return chat_history, instruction
 
 

libs/langchain/langchain/document_loaders/baiducloud_bos_directory.py

@@ -43,7 +43,7 @@ class BaiduBOSDirectoryLoader(BaseLoader):
             if response.is_truncated or contents_len < int(str(response.max_keys)):
                 break
             marker = response.next_marker
-        from langchain.document_loaders.baiducloud_bos_file import BaiduBOSFileLoader
+        from baidu_bos_file import BaiduBOSFileLoader
 
         for content in contents:
             if str(content.key).endswith("/"):

libs/langchain/langchain/embeddings/__init__.py

@@ -53,7 +53,6 @@ from langchain.embeddings.mosaicml import MosaicMLInstructorEmbeddings
 from langchain.embeddings.nlpcloud import NLPCloudEmbeddings
 from langchain.embeddings.octoai_embeddings import OctoAIEmbeddings
 from langchain.embeddings.ollama import OllamaEmbeddings
-from langchain.embeddings.open_clip import OpenCLIPEmbeddings
 from langchain.embeddings.openai import OpenAIEmbeddings
 from langchain.embeddings.sagemaker_endpoint import SagemakerEndpointEmbeddings
 from langchain.embeddings.self_hosted import SelfHostedEmbeddings
@@ -118,7 +117,6 @@ __all__ = [
     "QianfanEmbeddingsEndpoint",
     "JohnSnowLabsEmbeddings",
     "VoyageEmbeddings",
-    "OpenCLIPEmbeddings",
 ]
 
 

libs/langchain/langchain/embeddings/cohere.py

@@ -87,10 +87,7 @@ class CohereEmbeddings(BaseModel, Embeddings):
             List of embeddings, one for each text.
         """
         embeddings = self.client.embed(
-            model=self.model,
-            texts=texts,
-            input_type="search_document",
-            truncate=self.truncate,
+            model=self.model, texts=texts, truncate=self.truncate
         ).embeddings
         return [list(map(float, e)) for e in embeddings]
 
@@ -104,10 +101,7 @@ class CohereEmbeddings(BaseModel, Embeddings):
             List of embeddings, one for each text.
         """
         embeddings = await self.async_client.embed(
-            model=self.model,
-            texts=texts,
-            input_type="search_document",
-            truncate=self.truncate,
+            model=self.model, texts=texts, truncate=self.truncate
         )
         return [list(map(float, e)) for e in embeddings.embeddings]
 
@@ -120,13 +114,7 @@ class CohereEmbeddings(BaseModel, Embeddings):
         Returns:
             Embeddings for the text.
         """
-        embeddings = self.client.embed(
-            model=self.model,
-            texts=[text],
-            input_type="search_query",
-            truncate=self.truncate,
-        ).embeddings
-        return [list(map(float, e)) for e in embeddings][0]
+        return self.embed_documents([text])[0]
 
     async def aembed_query(self, text: str) -> List[float]:
         """Async call out to Cohere's embedding endpoint.
@@ -137,10 +125,5 @@ class CohereEmbeddings(BaseModel, Embeddings):
         Returns:
             Embeddings for the text.
         """
-        embeddings = await self.async_client.embed(
-            model=self.model,
-            texts=[text],
-            input_type="search_query",
-            truncate=self.truncate,
-        )
-        return [list(map(float, e)) for e in embeddings.embeddings][0]
+        embeddings = await self.aembed_documents([text])
+        return embeddings[0]

libs/langchain/langchain/embeddings/open_clip.py

@@ -1,56 +0,0 @@
-from typing import Any, Dict, List
-
-import numpy as np
-
-from langchain.pydantic_v1 import BaseModel, root_validator
-from langchain.schema.embeddings import Embeddings
-
-
-class OpenCLIPEmbeddings(BaseModel, Embeddings):
-    model: Any
-    preprocess: Any
-    tokenizer: Any
-
-    @root_validator()
-    def validate_environment(cls, values: Dict) -> Dict:
-        """Validate that open_clip and torch libraries are installed."""
-        try:
-            import open_clip
-
-            model_name = "ViT-B-32"
-            checkpoint = "laion2b_s34b_b79k"
-            model, _, preprocess = open_clip.create_model_and_transforms(
-                model_name=model_name, pretrained=checkpoint
-            )
-            tokenizer = open_clip.get_tokenizer(model_name)
-            values["model"] = model
-            values["preprocess"] = preprocess
-            values["tokenizer"] = tokenizer
-
-        except ImportError:
-            raise ImportError(
-                "Please ensure both open_clip and torch libraries are installed. "
-                "pip install open_clip_torch torch"
-            )
-        return values
-
-    def embed_documents(self, texts: List[str]) -> List[List[float]]:
-        text_features = [
-            self.model.encode_text(self.tokenizer(text)).tolist() for text in texts
-        ]
-        return text_features
-
-    def embed_query(self, text: str) -> List[float]:
-        return self.embed_documents([text])[0]
-
-    def embed_image(self, images: List[np.ndarray]) -> List[List[float]]:
-        try:
-            from PIL import Image as _PILImage
-        except ImportError:
-            raise ImportError("Please install the PIL library: pip install pillow")
-        pil_images = [_PILImage.fromarray(image) for image in images]
-        image_features = [
-            self.model.encode_image(self.preprocess(pil_image).unsqueeze(0)).tolist()
-            for pil_image in pil_images
-        ]
-        return image_features

libs/langchain/langchain/embeddings/openai.py

@@ -2,9 +2,7 @@ from __future__ import annotations
 
 import logging
 import warnings
-from importlib.metadata import version
 from typing import (
-    TYPE_CHECKING,
     Any,
     Callable,
     Dict,
@@ -18,7 +16,6 @@ from typing import (
 )
 
 import numpy as np
-from packaging.version import Version, parse
 from tenacity import (
     AsyncRetrying,
     before_sleep_log,
@@ -32,9 +29,6 @@ from langchain.pydantic_v1 import BaseModel, Extra, Field, root_validator
 from langchain.schema.embeddings import Embeddings
 from langchain.utils import get_from_dict_or_env, get_pydantic_field_names
 
-if TYPE_CHECKING:
-    import httpx
-
 logger = logging.getLogger(__name__)
 
 
@@ -103,8 +97,6 @@ def _check_response(response: dict, skip_empty: bool = False) -> dict:
 
 def embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) -> Any:
     """Use tenacity to retry the embedding call."""
-    if _is_openai_v1():
-        return embeddings.client.create(**kwargs)
     retry_decorator = _create_retry_decorator(embeddings)
 
     @retry_decorator
@@ -118,9 +110,6 @@ def embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) -> Any:
 async def async_embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) -> Any:
     """Use tenacity to retry the embedding call."""
 
-    if _is_openai_v1():
-        return await embeddings.async_client.create(**kwargs)
-
     @_async_retry_decorator(embeddings)
     async def _async_embed_with_retry(**kwargs: Any) -> Any:
         response = await embeddings.client.acreate(**kwargs)
@@ -129,11 +118,6 @@ async def async_embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) ->
     return await _async_embed_with_retry(**kwargs)
 
 
-def _is_openai_v1() -> bool:
-    _version = parse(version("openai"))
-    return _version >= Version("1.0.0")
-
-
 class OpenAIEmbeddings(BaseModel, Embeddings):
     """OpenAI embedding models.
 
@@ -176,7 +160,6 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     """
 
     client: Any = None  #: :meta private:
-    async_client: Any = None  #: :meta private:
     model: str = "text-embedding-ada-002"
     deployment: str = model  # to support Azure OpenAI Service custom deployment names
     openai_api_version: Optional[str] = None
@@ -196,9 +179,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     """Maximum number of texts to embed in each batch"""
     max_retries: int = 6
     """Maximum number of retries to make when generating."""
-    request_timeout: Optional[Union[float, Tuple[float, float], httpx.Timeout]] = Field(
-        default=None, alias="timeout"
-    )
+    request_timeout: Optional[Union[float, Tuple[float, float]]] = None
     """Timeout in seconds for the OpenAPI request."""
     headers: Any = None
     tiktoken_model_name: Optional[str] = None
@@ -300,23 +281,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         try:
             import openai
 
-            if _is_openai_v1():
-                values["client"] = openai.OpenAI(
-                    api_key=values.get("openai_api_key"),
-                    timeout=values.get("request_timeout"),
-                    max_retries=values.get("max_retries"),
-                    organization=values.get("openai_organization"),
-                    base_url=values.get("openai_api_base") or None,
-                ).embeddings
-                values["async_client"] = openai.AsyncOpenAI(
-                    api_key=values.get("openai_api_key"),
-                    timeout=values.get("request_timeout"),
-                    max_retries=values.get("max_retries"),
-                    organization=values.get("openai_organization"),
-                    base_url=values.get("openai_api_base") or None,
-                ).embeddings
-            else:
-                values["client"] = openai.Embedding
+            values["client"] = openai.Embedding
         except ImportError:
             raise ImportError(
                 "Could not import openai python package. "
@@ -325,22 +290,18 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         return values
 
     @property
-    def _invocation_params(self) -> Dict[str, Any]:
-        openai_args: Dict[str, Any] = (
-            {"model": self.model, **self.model_kwargs}
-            if _is_openai_v1()
-            else {
-                "model": self.model,
-                "request_timeout": self.request_timeout,
-                "headers": self.headers,
-                "api_key": self.openai_api_key,
-                "organization": self.openai_organization,
-                "api_base": self.openai_api_base,
-                "api_type": self.openai_api_type,
-                "api_version": self.openai_api_version,
-                **self.model_kwargs,
-            }
-        )
+    def _invocation_params(self) -> Dict:
+        openai_args = {
+            "model": self.model,
+            "request_timeout": self.request_timeout,
+            "headers": self.headers,
+            "api_key": self.openai_api_key,
+            "organization": self.openai_organization,
+            "api_base": self.openai_api_base,
+            "api_type": self.openai_api_type,
+            "api_version": self.openai_api_version,
+            **self.model_kwargs,
+        }
         if self.openai_api_type in ("azure", "azure_ad", "azuread"):
             openai_args["engine"] = self.deployment
         if self.openai_proxy:
@@ -415,8 +376,6 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
                 input=tokens[i : i + _chunk_size],
                 **self._invocation_params,
             )
-            if not isinstance(response, dict):
-                response = response.dict()
             batched_embeddings.extend(r["embedding"] for r in response["data"])
 
         results: List[List[List[float]]] = [[] for _ in range(len(texts))]
@@ -430,14 +389,11 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         for i in range(len(texts)):
             _result = results[i]
             if len(_result) == 0:
-                average_embedded = embed_with_retry(
+                average = embed_with_retry(
                     self,
                     input="",
                     **self._invocation_params,
-                )
-                if not isinstance(average_embedded, dict):
-                    average_embedded = average_embedded.dict()
-                average = average_embedded["data"][0]["embedding"]
+                )["data"][0]["embedding"]
             else:
                 average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
             embeddings[i] = (average / np.linalg.norm(average)).tolist()
@@ -490,9 +446,6 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
                 input=tokens[i : i + _chunk_size],
                 **self._invocation_params,
             )
-
-            if not isinstance(response, dict):
-                response = response.dict()
             batched_embeddings.extend(r["embedding"] for r in response["data"])
 
         results: List[List[List[float]]] = [[] for _ in range(len(texts))]
@@ -504,14 +457,13 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         for i in range(len(texts)):
             _result = results[i]
             if len(_result) == 0:
-                average_embedded = embed_with_retry(
-                    self,
-                    input="",
-                    **self._invocation_params,
-                )
-                if not isinstance(average_embedded, dict):
-                    average_embedded = average_embedded.dict()
-                average = average_embedded["data"][0]["embedding"]
+                average = (
+                    await async_embed_with_retry(
+                        self,
+                        input="",
+                        **self._invocation_params,
+                    )
+                )["data"][0]["embedding"]
             else:
                 average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
             embeddings[i] = (average / np.linalg.norm(average)).tolist()

libs/langchain/langchain/llms/symblai_nebula.py

@@ -15,9 +15,8 @@ from tenacity import (
 from langchain.callbacks.manager import CallbackManagerForLLMRun
 from langchain.llms.base import LLM
 from langchain.llms.utils import enforce_stop_tokens
-from langchain.pydantic_v1 import Extra, SecretStr, root_validator
-from langchain.utils import convert_to_secret_str
-from langchain.utils.env import get_from_dict_or_env
+from langchain.pydantic_v1 import Extra, root_validator
+from langchain.utils import get_from_dict_or_env
 
 DEFAULT_NEBULA_SERVICE_URL = "https://api-nebula.symbl.ai"
 DEFAULT_NEBULA_SERVICE_PATH = "/v1/model/generate"
@@ -51,7 +50,7 @@ class Nebula(LLM):
 
     nebula_service_url: Optional[str] = None
     nebula_service_path: Optional[str] = None
-    nebula_api_key: Optional[SecretStr] = None
+    nebula_api_key: Optional[str] = None
     model: Optional[str] = None
     max_new_tokens: Optional[int] = 128
     temperature: Optional[float] = 0.6
@@ -82,8 +81,8 @@ class Nebula(LLM):
             "NEBULA_SERVICE_PATH",
             DEFAULT_NEBULA_SERVICE_PATH,
         )
-        nebula_api_key = convert_to_secret_str(
-            get_from_dict_or_env(values, "nebula_api_key", "NEBULA_API_KEY", None)
+        nebula_api_key = get_from_dict_or_env(
+            values, "nebula_api_key", "NEBULA_API_KEY", None
         )
 
         if nebula_service_url.endswith("/"):
@@ -188,12 +187,9 @@ def make_request(
 ) -> Any:
     """Generate text from the model."""
     params = params or {}
-    api_key = None
-    if self.nebula_api_key is not None:
-        api_key = self.nebula_api_key.get_secret_value()
     headers = {
         "Content-Type": "application/json",
-        "ApiKey": f"{api_key}",
+        "ApiKey": f"{self.nebula_api_key}",
     }
 
     body = {

libs/langchain/langchain/schema/messages.py

@@ -64,7 +64,7 @@ class BaseMessage(Serializable):
     Messages are the inputs and outputs of ChatModels.
     """
 
-    content: Union[str, List[Union[str, Dict]]]
+    content: str
     """The string contents of the message."""
 
     additional_kwargs: dict = Field(default_factory=dict)
@@ -87,33 +87,6 @@ class BaseMessage(Serializable):
         return prompt + other
 
 
-def merge_content(
-    first_content: Union[str, List[Union[str, Dict]]],
-    second_content: Union[str, List[Union[str, Dict]]],
-) -> Union[str, List[Union[str, Dict]]]:
-    # If first chunk is a string
-    if isinstance(first_content, str):
-        # If the second chunk is also a string, then merge them naively
-        if isinstance(second_content, str):
-            return first_content + second_content
-        # If the second chunk is a list, add the first chunk to the start of the list
-        else:
-            return_list: List[Union[str, Dict]] = [first_content]
-            return return_list + second_content
-    # If both are lists, merge them naively
-    elif isinstance(second_content, List):
-        return first_content + second_content
-    # If the first content is a list, and the second content is a string
-    else:
-        # If the last element of the first content is a string
-        # Add the second content to the last element
-        if isinstance(first_content[-1], str):
-            return first_content[:-1] + [first_content[-1] + second_content]
-        else:
-            # Otherwise, add the second content as a new element of the list
-            return first_content + [second_content]
-
-
 class BaseMessageChunk(BaseMessage):
     """A Message chunk, which can be concatenated with other Message chunks."""
 
@@ -148,13 +121,13 @@ class BaseMessageChunk(BaseMessage):
             if isinstance(self, ChatMessageChunk):
                 return self.__class__(
                     role=self.role,
-                    content=merge_content(self.content, other.content),
+                    content=self.content + other.content,
                     additional_kwargs=self._merge_kwargs_dict(
                         self.additional_kwargs, other.additional_kwargs
                     ),
                 )
             return self.__class__(
-                content=merge_content(self.content, other.content),
+                content=self.content + other.content,
                 additional_kwargs=self._merge_kwargs_dict(
                     self.additional_kwargs, other.additional_kwargs
                 ),
@@ -221,7 +194,7 @@ class AIMessageChunk(AIMessage, BaseMessageChunk):
 
             return self.__class__(
                 example=self.example,
-                content=merge_content(self.content, other.content),
+                content=self.content + other.content,
                 additional_kwargs=self._merge_kwargs_dict(
                     self.additional_kwargs, other.additional_kwargs
                 ),
@@ -279,7 +252,7 @@ class FunctionMessageChunk(FunctionMessage, BaseMessageChunk):
 
             return self.__class__(
                 name=self.name,
-                content=merge_content(self.content, other.content),
+                content=self.content + other.content,
                 additional_kwargs=self._merge_kwargs_dict(
                     self.additional_kwargs, other.additional_kwargs
                 ),
@@ -317,7 +290,7 @@ class ChatMessageChunk(ChatMessage, BaseMessageChunk):
 
             return self.__class__(
                 role=self.role,
-                content=merge_content(self.content, other.content),
+                content=self.content + other.content,
                 additional_kwargs=self._merge_kwargs_dict(
                     self.additional_kwargs, other.additional_kwargs
                 ),

libs/langchain/langchain/schema/runnable/utils.py

@@ -273,7 +273,7 @@ class ConfigurableFieldSingleOption(NamedTuple):
     description: Optional[str] = None
 
     def __hash__(self) -> int:
-        return hash((self.id, tuple(self.options.keys()), self.default))
+        return hash((self.id, tuple(self.options.items()), self.default))
 
 
 class ConfigurableFieldMultiOption(NamedTuple):
@@ -287,7 +287,7 @@ class ConfigurableFieldMultiOption(NamedTuple):
     description: Optional[str] = None
 
     def __hash__(self) -> int:
-        return hash((self.id, tuple(self.options.keys()), tuple(self.default)))
+        return hash((self.id, tuple(self.options.items()), tuple(self.default)))
 
 
 AnyConfigurableField = Union[

libs/langchain/langchain/tools/e2b_data_analysis/tool.py

@@ -9,7 +9,6 @@ from typing import IO, TYPE_CHECKING, Any, Callable, List, Optional, Type
 
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForToolRun,
-    CallbackManager,
     CallbackManagerForToolRun,
 )
 from langchain.pydantic_v1 import BaseModel, Field, PrivateAttr
@@ -152,26 +151,14 @@ class E2BDataAnalysisTool(BaseTool):
         return "\n".join(lines)
 
     def _run(
-        self,
-        python_code: str,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-        callbacks: Optional[CallbackManager] = None,
+        self, python_code: str, run_manager: Optional[CallbackManagerForToolRun] = None
     ) -> str:
         python_code = add_last_line_print(python_code)
-
-        if callbacks is not None:
-            on_artifact = getattr(callbacks.metadata, "on_artifact", None)
-        else:
-            on_artifact = None
-
-        stdout, stderr, artifacts = self.session.run_python(
-            python_code, on_artifact=on_artifact
-        )
+        stdout, stderr, _ = self.session.run_python(python_code)
 
         out = {
             "stdout": stdout,
             "stderr": stderr,
-            "artifacts": list(map(lambda artifact: artifact.name, artifacts)),
         }
         return json.dumps(out)
 

libs/langchain/langchain/vectorstores/baiducloud_vector_search.py

@@ -95,8 +95,7 @@ class BESVectorStore(VectorStore):
         connection_params: Dict[str, Any] = {}
 
         connection_params["hosts"] = [bes_url]
-        if username and password:
-            connection_params["basic_auth"] = (username, password)
+        connection_params["basic_auth"] = (username, password)
 
         es_client = elasticsearch.Elasticsearch(**connection_params)
         try:
@@ -237,6 +236,7 @@ class BESVectorStore(VectorStore):
 
         if "linear" == self.index_type:
             query_vector_body["linear"] = True
+            query_vector_body["space_type"] = self.space_type
         else:
             query_vector_body["ef"] = search_params.get("ef", 10)
 
@@ -279,7 +279,7 @@ class BESVectorStore(VectorStore):
         logger.debug(f"Query body: {query_body}")
 
         # Perform the kNN search on the BES index and return the results.
-        response = self.client.search(index=self.index_name, body=query_body)
+        response = self.client.search(index=self.index_name, **query_body)
         logger.debug(f"response={response}")
 
         hits = [hit for hit in response["hits"]["hits"]]

libs/langchain/langchain/vectorstores/dingo.py

@@ -66,11 +66,7 @@ class Dingo(VectorStore):
         self._text_key = text_key
         self._client = dingo_client
 
-        if (
-            index_name is not None
-            and index_name not in dingo_client.get_index()
-            and index_name.upper() not in dingo_client.get_index()
-        ):
+        if index_name is not None and index_name not in dingo_client.get_index():
             if self_id is True:
                 dingo_client.create_index(
                     index_name, dimension=dimension, auto_id=False
@@ -181,9 +177,8 @@ class Dingo(VectorStore):
             id = res["id"]
             score = res["distance"]
             text = metadatas[self._text_key]["fields"][0]["data"]
+
             metadata = {"id": id, "text": text, "score": score}
-            for meta_key in metadatas.keys():
-                metadata[meta_key] = metadatas[meta_key]["fields"][0]["data"]
             docs.append((Document(page_content=text, metadata=metadata), score))
 
         return docs
@@ -323,20 +318,12 @@ class Dingo(VectorStore):
             except ValueError as e:
                 raise ValueError(f"Dingo failed to connect: {e}")
         if kwargs is not None and kwargs.get("self_id") is True:
-            if (
-                index_name is not None
-                and index_name not in dingo_client.get_index()
-                and index_name.upper() not in dingo_client.get_index()
-            ):
+            if index_name not in dingo_client.get_index():
                 dingo_client.create_index(
                     index_name, dimension=dimension, auto_id=False
                 )
         else:
-            if (
-                index_name is not None
-                and index_name not in dingo_client.get_index()
-                and index_name.upper() not in dingo_client.get_index()
-            ):
+            if index_name not in dingo_client.get_index():
                 dingo_client.create_index(index_name, dimension=dimension)
 
         # Embed and create the documents

libs/langchain/langchain/vectorstores/pgvector.py

@@ -159,17 +159,7 @@ class PGVector(VectorStore):
     def create_vector_extension(self) -> None:
         try:
             with Session(self._conn) as session:
-                # The advisor lock fixes issue arising from concurrent
-                # creation of the vector extension.
-                # https://github.com/langchain-ai/langchain/issues/12933
-                # For more information see:
-                # https://www.postgresql.org/docs/16/explicit-locking.html#ADVISORY-LOCKS
-                statement = sqlalchemy.text(
-                    "BEGIN;"
-                    "SELECT pg_advisory_xact_lock(1573678846307946496);"
-                    "CREATE EXTENSION IF NOT EXISTS vector;"
-                    "COMMIT;"
-                )
+                statement = sqlalchemy.text("CREATE EXTENSION IF NOT EXISTS vector")
                 session.execute(statement)
                 session.commit()
         except Exception as e:

libs/langchain/langchain/vectorstores/qdrant.py

@@ -1837,11 +1837,6 @@ class Qdrant(VectorStore):
         )
         return qdrant
 
-    @staticmethod
-    def _cosine_relevance_score_fn(distance: float) -> float:
-        """Normalize the distance to a score on a scale [0, 1]."""
-        return (distance + 1.0) / 2.0
-
     def _select_relevance_score_fn(self) -> Callable[[float], float]:
         """
         The 'correct' relevance function

libs/langchain/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain"
-version = "0.0.331rc2"
+version = "0.0.329"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"

libs/langchain/tests/integration_tests/chat_models/test_fireworks.py

@@ -1,6 +1,5 @@
 """Test ChatFireworks wrapper."""
 import sys
-from typing import cast
 
 import pytest
 
@@ -153,7 +152,7 @@ def test_fireworks_streaming_stop_words(chat: ChatFireworks) -> None:
 
     last_token = ""
     for token in chat.stream("I'm Pickle Rick", stop=[","]):
-        last_token = cast(str, token.content)
+        last_token = token.content
         assert isinstance(token.content, str)
     assert last_token[-1] == ","
 
@@ -184,6 +183,6 @@ async def test_fireworks_astream(chat: ChatFireworks) -> None:
     async for token in chat.astream(
         "Who's the best quarterback in the NFL?", stop=[","]
     ):
-        last_token = cast(str, token.content)
+        last_token = token.content
         assert isinstance(token.content, str)
     assert last_token[-1] == ","

libs/langchain/tests/integration_tests/chat_models/test_openai.py

@@ -58,8 +58,6 @@ def test_chat_openai_generate() -> None:
     response = chat.generate([[message], [message]])
     assert isinstance(response, LLMResult)
     assert len(response.generations) == 2
-    assert response.llm_output
-    assert "system_fingerprint" in response.llm_output
     for generations in response.generations:
         assert len(generations) == 2
         for generation in generations:
@@ -165,8 +163,6 @@ async def test_async_chat_openai() -> None:
     response = await chat.agenerate([[message], [message]])
     assert isinstance(response, LLMResult)
     assert len(response.generations) == 2
-    assert response.llm_output
-    assert "system_fingerprint" in response.llm_output
     for generations in response.generations:
         assert len(generations) == 2
         for generation in generations:

libs/langchain/tests/integration_tests/embeddings/test_openai.py

@@ -1,4 +1,6 @@
 """Test openai embeddings."""
+import os
+
 import numpy as np
 import openai
 import pytest
@@ -88,3 +90,26 @@ def test_embed_documents_normalized() -> None:
 def test_embed_query_normalized() -> None:
     output = OpenAIEmbeddings().embed_query("foo walked to the market")
     assert np.isclose(np.linalg.norm(output), 1.0)
+
+
+def test_azure_openai_embeddings() -> None:
+    from openai import error
+
+    os.environ["OPENAI_API_TYPE"] = "azure"
+    os.environ["OPENAI_API_BASE"] = "https://your-endpoint.openai.azure.com/"
+    os.environ["OPENAI_API_KEY"] = "your AzureOpenAI key"
+    os.environ["OPENAI_API_VERSION"] = "2023-03-15-preview"
+
+    embeddings = OpenAIEmbeddings(deployment="your-embeddings-deployment-name")
+    text = "This is a test document."
+
+    try:
+        embeddings.embed_query(text)
+    except error.InvalidRequestError as e:
+        if "Must provide an 'engine' or 'deployment_id' parameter" in str(e):
+            assert (
+                False
+            ), "deployment was provided to but openai.Embeddings didn't get it."
+    except Exception:
+        # Expected to fail because endpoint doesn't exist.
+        pass

libs/langchain/tests/integration_tests/smith/evaluation/test_runner_utils.py

@@ -490,13 +490,7 @@ async def test_arb_func_on_kv_singleio_dataset(
     )
 
     def my_func(x: dict) -> str:
-        content = runnable.invoke(x).content
-        if isinstance(content, str):
-            return content
-        else:
-            raise ValueError(
-                f"Expected message with content type string, got {content}"
-            )
+        return runnable.invoke(x).content
 
     eval_config = RunEvalConfig(evaluators=[EvaluatorType.QA, EvaluatorType.CRITERIA])
     await arun_on_dataset(

libs/langchain/tests/unit_tests/agents/test_structured_chat.py

@@ -2,7 +2,7 @@
 from typing import Tuple
 
 from langchain.agents.structured_chat.output_parser import StructuredChatOutputParser
-from langchain.schema import AgentAction, AgentFinish
+from langchain.schema import AgentAction
 
 output_parser = StructuredChatOutputParser()
 
@@ -11,10 +11,8 @@ def get_action_and_input(text: str) -> Tuple[str, str]:
     output = output_parser.parse(text)
     if isinstance(output, AgentAction):
         return output.tool, str(output.tool_input)
-    elif isinstance(output, AgentFinish):
-        return output.return_values["output"], output.log
     else:
-        raise ValueError("Unexpected output type")
+        return "Final Answer", output.return_values["output"]
 
 
 def test_parse_with_language() -> None:
@@ -47,59 +45,3 @@ def test_parse_without_language() -> None:
     action, action_input = get_action_and_input(llm_output)
     assert action == "foo"
     assert action_input == "bar"
-
-
-def test_parse_with_language_and_spaces() -> None:
-    llm_output = """I can use the `foo` tool to achieve the goal.
-
-    Action:
-    ```json     
-
-    {
-      "action": "foo",
-      "action_input": "bar"
-    }
-    ```
-    """
-    action, action_input = get_action_and_input(llm_output)
-    assert action == "foo"
-    assert action_input == "bar"
-
-
-def test_parse_without_language_without_a_new_line() -> None:
-    llm_output = """I can use the `foo` tool to achieve the goal.
-
-    Action:
-    ```{"action": "foo", "action_input": "bar"}```
-    """
-    action, action_input = get_action_and_input(llm_output)
-    assert action == "foo"
-    assert action_input == "bar"
-
-
-def test_parse_with_language_without_a_new_line() -> None:
-    llm_output = """I can use the `foo` tool to achieve the goal.
-
-    Action:
-    ```json{"action": "foo", "action_input": "bar"}```
-    """
-    # TODO: How should this be handled?
-    output, log = get_action_and_input(llm_output)
-    assert output == llm_output
-    assert log == llm_output
-
-
-def test_parse_case_matched_and_final_answer() -> None:
-    llm_output = """I can use the `foo` tool to achieve the goal.
-
-    Action:
-    ```json
-    {
-      "action": "Final Answer",
-      "action_input": "This is the final answer"
-    }
-    ```
-    """
-    output, log = get_action_and_input(llm_output)
-    assert output == "This is the final answer"
-    assert log == llm_output

libs/langchain/tests/unit_tests/chat_models/test_azureopenai.py

@@ -1,5 +1,6 @@
 import json
 import os
+from typing import Any, Mapping, cast
 from unittest import mock
 
 import pytest
@@ -47,8 +48,9 @@ def test_model_name_set_on_chat_result_when_present_in_response(
     """
     # convert sample_response_text to instance of Mapping[str, Any]
     sample_response = json.loads(sample_response_text)
+    mock_response = cast(Mapping[str, Any], sample_response)
     mock_chat = AzureChatOpenAI()
-    chat_result = mock_chat._create_chat_result(sample_response)
+    chat_result = mock_chat._create_chat_result(mock_response)
     assert (
         chat_result.llm_output is not None
         and chat_result.llm_output["model_name"] == model_name

libs/langchain/tests/unit_tests/embeddings/test_imports.py

@@ -48,7 +48,6 @@ EXPECTED_ALL = [
     "QianfanEmbeddingsEndpoint",
     "JohnSnowLabsEmbeddings",
     "VoyageEmbeddings",
-    "OpenCLIPEmbeddings",
 ]
 
 

libs/langchain/tests/unit_tests/llms/test_symblai_nebula.py

@@ -1,29 +0,0 @@
-"""Test the Nebula model by Symbl.ai"""
-
-from pytest import CaptureFixture, MonkeyPatch
-
-from langchain.llms.symblai_nebula import Nebula
-from langchain.pydantic_v1 import SecretStr
-
-
-def test_api_key_is_secret_string() -> None:
-    llm = Nebula(nebula_api_key="secret-api-key")
-    assert isinstance(llm.nebula_api_key, SecretStr)
-    assert llm.nebula_api_key.get_secret_value() == "secret-api-key"
-
-
-def test_api_key_masked_when_passed_from_env(
-    monkeypatch: MonkeyPatch, capsys: CaptureFixture
-) -> None:
-    monkeypatch.setenv("NEBULA_API_KEY", "secret-api-key")
-    llm = Nebula()
-    print(llm.nebula_api_key, end="")
-    captured = capsys.readouterr()
-    assert captured.out == "**********"
-
-
-def test_api_key_masked_when_passed_via_constructor(capsys: CaptureFixture) -> None:
-    llm = Nebula(nebula_api_key="secret-api-key")
-    print(llm.nebula_api_key, end="")
-    captured = capsys.readouterr()
-    assert captured.out == "**********"

libs/langchain/tests/unit_tests/schema/runnable/__snapshots__/test_runnable.ambr

@@ -1685,25 +1685,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -1733,25 +1716,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -1825,25 +1791,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -1873,25 +1822,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -1946,25 +1878,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -2029,25 +1944,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2077,25 +1975,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -2169,25 +2050,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -2217,25 +2081,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2290,25 +2137,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -2357,25 +2187,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2405,25 +2218,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -2453,25 +2249,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -2501,25 +2280,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2552,25 +2314,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -2610,25 +2355,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2658,25 +2386,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -2750,25 +2461,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -2798,25 +2492,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2871,25 +2548,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -2929,25 +2589,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -2977,25 +2620,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -3069,25 +2695,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -3117,25 +2726,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -3190,25 +2782,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -3240,25 +2815,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -3288,25 +2846,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -3380,25 +2921,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -3428,25 +2952,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -3512,25 +3019,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',
@@ -3586,25 +3076,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -3634,25 +3107,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'role': dict({
             'title': 'Role',
@@ -3682,25 +3138,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'name': dict({
             'title': 'Name',
@@ -3730,25 +3169,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'example': dict({
             'default': False,
@@ -3781,25 +3203,8 @@
             'type': 'object',
           }),
           'content': dict({
-            'anyOf': list([
-              dict({
-                'type': 'string',
-              }),
-              dict({
-                'items': dict({
-                  'anyOf': list([
-                    dict({
-                      'type': 'string',
-                    }),
-                    dict({
-                      'type': 'object',
-                    }),
-                  ]),
-                }),
-                'type': 'array',
-              }),
-            ]),
             'title': 'Content',
+            'type': 'string',
           }),
           'type': dict({
             'default': 'system',

libs/langchain/tests/unit_tests/schema/runnable/test_runnable.py

@@ -295,18 +295,7 @@ def test_schemas(snapshot: SnapshotAssertion) -> None:
                 "description": "A Message from an AI.",
                 "type": "object",
                 "properties": {
-                    "content": {
-                        "title": "Content",
-                        "anyOf": [
-                            {"type": "string"},
-                            {
-                                "type": "array",
-                                "items": {
-                                    "anyOf": [{"type": "string"}, {"type": "object"}]
-                                },
-                            },
-                        ],
-                    },
+                    "content": {"title": "Content", "type": "string"},
                     "additional_kwargs": {
                         "title": "Additional Kwargs",
                         "type": "object",
@@ -330,18 +319,7 @@ def test_schemas(snapshot: SnapshotAssertion) -> None:
                 "description": "A Message from a human.",
                 "type": "object",
                 "properties": {
-                    "content": {
-                        "title": "Content",
-                        "anyOf": [
-                            {"type": "string"},
-                            {
-                                "type": "array",
-                                "items": {
-                                    "anyOf": [{"type": "string"}, {"type": "object"}]
-                                },
-                            },
-                        ],
-                    },
+                    "content": {"title": "Content", "type": "string"},
                     "additional_kwargs": {
                         "title": "Additional Kwargs",
                         "type": "object",
@@ -365,18 +343,7 @@ def test_schemas(snapshot: SnapshotAssertion) -> None:
                 "description": "A Message that can be assigned an arbitrary speaker (i.e. role).",  # noqa: E501
                 "type": "object",
                 "properties": {
-                    "content": {
-                        "title": "Content",
-                        "anyOf": [
-                            {"type": "string"},
-                            {
-                                "type": "array",
-                                "items": {
-                                    "anyOf": [{"type": "string"}, {"type": "object"}]
-                                },
-                            },
-                        ],
-                    },
+                    "content": {"title": "Content", "type": "string"},
                     "additional_kwargs": {
                         "title": "Additional Kwargs",
                         "type": "object",
@@ -396,18 +363,7 @@ def test_schemas(snapshot: SnapshotAssertion) -> None:
                 "description": "A Message for priming AI behavior, usually passed in as the first of a sequence\nof input messages.",  # noqa: E501
                 "type": "object",
                 "properties": {
-                    "content": {
-                        "title": "Content",
-                        "anyOf": [
-                            {"type": "string"},
-                            {
-                                "type": "array",
-                                "items": {
-                                    "anyOf": [{"type": "string"}, {"type": "object"}]
-                                },
-                            },
-                        ],
-                    },
+                    "content": {"title": "Content", "type": "string"},
                     "additional_kwargs": {
                         "title": "Additional Kwargs",
                         "type": "object",
@@ -426,18 +382,7 @@ def test_schemas(snapshot: SnapshotAssertion) -> None:
                 "description": "A Message for passing the result of executing a function back to a model.",  # noqa: E501
                 "type": "object",
                 "properties": {
-                    "content": {
-                        "title": "Content",
-                        "anyOf": [
-                            {"type": "string"},
-                            {
-                                "type": "array",
-                                "items": {
-                                    "anyOf": [{"type": "string"}, {"type": "object"}]
-                                },
-                            },
-                        ],
-                    },
+                    "content": {"title": "Content", "type": "string"},
                     "additional_kwargs": {
                         "title": "Additional Kwargs",
                         "type": "object",

templates/README.md

@@ -11,7 +11,7 @@ They are all in a standard format which make it easy to deploy them with [LangSe
 To use, first install the LangChain CLI.
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 Next, create a new LangChain project:

templates/anthropic-iterative-search/README.md

@@ -14,7 +14,7 @@ Set the `ANTHROPIC_API_KEY` environment variable to access the Anthropic models.
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

templates/anthropic-iterative-search/anthropic_iterative_search/__init__.py

@@ -1,3 +1,11 @@
-from .chain import chain
+from langchain.schema.runnable import ConfigurableField
 
-__all__ = ["chain"]
+from .chain import chain
+from .retriever_agent import executor
+
+final_chain = chain.configurable_alternatives(
+    ConfigurableField(id="chain"),
+    default_key="response",
+    # This adds a new option, with name `openai` that is equal to `ChatOpenAI()`
+    retrieve=executor,
+)

templates/anthropic-iterative-search/anthropic_iterative_search/chain.py

@@ -2,7 +2,6 @@ from langchain.chat_models import ChatAnthropic
 from langchain.prompts import ChatPromptTemplate
 from langchain.pydantic_v1 import BaseModel
 from langchain.schema.output_parser import StrOutputParser
-from langchain.schema.runnable import ConfigurableField
 
 from .prompts import answer_prompt
 from .retriever_agent import executor
@@ -26,10 +25,3 @@ class Inputs(BaseModel):
 
 
 chain = chain.with_types(input_type=Inputs)
-
-chain = chain.configurable_alternatives(
-    ConfigurableField(id="chain"),
-    default_key="response",
-    # This adds a new option, with name `openai` that is equal to `ChatOpenAI()`
-    retrieve=executor,
-)

templates/anthropic-iterative-search/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anthropic"
 version = "0.5.0"
@@ -319,20 +333,6 @@ files = [
     {file = "charset_normalizer-3.3.0-py3-none-any.whl", hash = "sha256:e46cd37076971c1040fc8c41273a8b3e2c624ce4f2be3f5dfcb7a430c1d3acc2"},
 ]
 
-[[package]]
-name = "click"
-version = "8.1.7"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -384,26 +384,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "filelock"
 version = "3.12.4"
@@ -525,37 +505,6 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.0"
@@ -687,17 +636,6 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "huggingface-hub"
 version = "0.17.3"
@@ -807,52 +745,6 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.13"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.13-py3-none-any.whl", hash = "sha256:7f9bc2178fcfa042180f4f2597c4a8a3de7c1a75a7cead99b52b943ac54f1649"},
-    {file = "langchain_cli-0.0.13.tar.gz", hash = "sha256:2ce9febfb312aad6a70a12f121644ca4695bb3758992cd4fcb13bc22a3803261"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"], optional = true, markers = "extra == \"serve\""}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
-[package.extras]
-serve = ["langserve[all] (>=0.0.16)"]
-
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -868,30 +760,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -912,17 +780,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1067,69 +924,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
 
 [[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
 ]
 
-[package.extras]
-plugins = ["importlib-metadata"]
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyyaml"
@@ -1201,47 +1129,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1302,38 +1189,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1463,17 +1318,6 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1494,30 +1338,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -1561,25 +1381,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "wikipedia"
 version = "1.4.0"
@@ -1684,4 +1485,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "1d48839e2c12303f8ad1656c3cfaac35f35c1380a48cd323eb00363c313c8473"
+content-hash = "837dee2f056b7920c8746c8a1c0199b29e6e31dba358a37795895f7fed26e02d"

templates/anthropic-iterative-search/pyproject.toml

@@ -11,12 +11,9 @@ langchain = ">=0.0.325"
 anthropic = "^0.5.0"
 wikipedia = "^1.4.0"
 
-[tool.poetry.group.dev.dependencies]
-langchain-cli = {extras = ["serve"], version = "^0.0.13"}
-
 [tool.langserve]
 export_module = "anthropic_iterative_search"
-export_attr = "chain"
+export_attr = "final_chain"
 
 [build-system]
 requires = [

templates/cassandra-entomology-rag/README.md

@@ -19,7 +19,7 @@ The connection parameters and secrets must be provided through environment varia
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

templates/cassandra-entomology-rag/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@@ -403,26 +417,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -508,37 +502,6 @@ files = [
 click = "*"
 six = "*"
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.1"
@@ -609,73 +572,6 @@ files = [
 docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
-[[package]]
-name = "h11"
-version = "0.14.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
-]
-
-[[package]]
-name = "httpcore"
-version = "1.0.1"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpcore-1.0.1-py3-none-any.whl", hash = "sha256:c5e97ef177dca2023d0b9aad98e49507ef5423e9f1d94ffe2cfe250aa28e63b0"},
-    {file = "httpcore-1.0.1.tar.gz", hash = "sha256:fce1ddf9b606cfb98132ab58865c3728c52c8e4c3c46e2aabb3674464a186e92"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.13,<0.15"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.25.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpx-0.25.1-py3-none-any.whl", hash = "sha256:fec7d6cc5c27c578a391f7e87b9aa7d3d8fbcd034f6399f9f79b45bcc12a866a"},
-    {file = "httpx-0.25.1.tar.gz", hash = "sha256:ffd96d5cf901e63863d9f1b4b6807861dbea4d301613415d9e6e57ead15fc5d0"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "*"
-idna = "*"
-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "idna"
 version = "3.4"
@@ -752,49 +648,6 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.15"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -810,30 +663,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -854,17 +683,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1031,69 +849,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
 
 [[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
 ]
 
-[package.extras]
-plugins = ["importlib-metadata"]
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyyaml"
@@ -1262,36 +1151,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1303,17 +1162,6 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1363,38 +1211,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1454,17 +1270,6 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1485,30 +1290,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -1552,25 +1333,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -1661,4 +1423,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "2bbb41d6a2b203cdef7902704f626c0b0006d12a660d4f85b91a48d44db7d5b9"
+content-hash = "4d134640788fa0dcafd1926605a44fa2b6b22fcc409ddbc25254981713d4b980"

templates/cassandra-entomology-rag/pyproject.toml

@@ -14,9 +14,6 @@ openai = "^0.28.1"
 tiktoken = "^0.5.1"
 cassio = "^0.1.3"
 
-[tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
-
 [tool.langserve]
 export_module = "cassandra_entomology_rag"
 export_attr = "chain"

templates/cassandra-synonym-caching/README.md

@@ -18,7 +18,7 @@ _Note:_ you can alternatively use a regular Cassandra cluster: to do so, make su
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

templates/cassandra-synonym-caching/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@@ -403,26 +417,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -508,37 +502,6 @@ files = [
 click = "*"
 six = "*"
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.1"
@@ -609,73 +572,6 @@ files = [
 docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
-[[package]]
-name = "h11"
-version = "0.14.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
-]
-
-[[package]]
-name = "httpcore"
-version = "1.0.1"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpcore-1.0.1-py3-none-any.whl", hash = "sha256:c5e97ef177dca2023d0b9aad98e49507ef5423e9f1d94ffe2cfe250aa28e63b0"},
-    {file = "httpcore-1.0.1.tar.gz", hash = "sha256:fce1ddf9b606cfb98132ab58865c3728c52c8e4c3c46e2aabb3674464a186e92"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.13,<0.15"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.25.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpx-0.25.1-py3-none-any.whl", hash = "sha256:fec7d6cc5c27c578a391f7e87b9aa7d3d8fbcd034f6399f9f79b45bcc12a866a"},
-    {file = "httpx-0.25.1.tar.gz", hash = "sha256:ffd96d5cf901e63863d9f1b4b6807861dbea4d301613415d9e6e57ead15fc5d0"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "*"
-idna = "*"
-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "idna"
 version = "3.4"
@@ -752,49 +648,6 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.15"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -810,30 +663,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -854,17 +683,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1031,69 +849,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
 
 [[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
 ]
 
-[package.extras]
-plugins = ["importlib-metadata"]
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyyaml"
@@ -1262,36 +1151,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1303,17 +1162,6 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1363,38 +1211,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1454,17 +1270,6 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1485,30 +1290,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -1552,25 +1333,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -1661,4 +1423,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "2bbb41d6a2b203cdef7902704f626c0b0006d12a660d4f85b91a48d44db7d5b9"
+content-hash = "4d134640788fa0dcafd1926605a44fa2b6b22fcc409ddbc25254981713d4b980"

templates/cassandra-synonym-caching/pyproject.toml

@@ -14,9 +14,6 @@ openai = "^0.28.1"
 tiktoken = "^0.5.1"
 cassio = "^0.1.3"
 
-[tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
-
 [tool.langserve]
 export_module = "cassandra_synonym_caching"
 export_attr = "chain"

templates/chat-bot-feedback/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@@ -538,62 +552,6 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
-[[package]]
-name = "httpcore"
-version = "1.0.1"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpcore-1.0.1-py3-none-any.whl", hash = "sha256:c5e97ef177dca2023d0b9aad98e49507ef5423e9f1d94ffe2cfe250aa28e63b0"},
-    {file = "httpcore-1.0.1.tar.gz", hash = "sha256:fce1ddf9b606cfb98132ab58865c3728c52c8e4c3c46e2aabb3674464a186e92"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.13,<0.15"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.25.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpx-0.25.1-py3-none-any.whl", hash = "sha256:fec7d6cc5c27c578a391f7e87b9aa7d3d8fbcd034f6399f9f79b45bcc12a866a"},
-    {file = "httpx-0.25.1.tar.gz", hash = "sha256:ffd96d5cf901e63863d9f1b4b6807861dbea4d301613415d9e6e57ead15fc5d0"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "*"
-idna = "*"
-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "idna"
 version = "3.4"
@@ -632,13 +590,13 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.0.329"
+version = "0.0.327"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.329-py3-none-any.whl", hash = "sha256:5f3e884991271e8b55eda4c63a11105dcd7da119682ce0e3d5d1385b3a4103d2"},
-    {file = "langchain-0.0.329.tar.gz", hash = "sha256:488f3cb68a587696f136d4f01f97df8d8270e295b3cc56158057dab0f61f4166"},
+    {file = "langchain-0.0.327-py3-none-any.whl", hash = "sha256:21835600e1ab11e2a939d9e473c13ed51402a3b75418ca02689877a5764da398"},
+    {file = "langchain-0.0.327.tar.gz", hash = "sha256:2710fba0c0735d1a63327cad83387571adc457fe75075c70335e8ea628f0a8a2"},
 ]
 
 [package.dependencies]
@@ -672,23 +630,25 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-cli"
-version = "0.0.15"
+version = "0.0.8"
 description = "CLI for interacting with LangChain"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
+    {file = "langchain_cli-0.0.8-py3-none-any.whl", hash = "sha256:d3b81453602acd3061524b512d2b9d25a5c51790249c00780129201afbdc8034"},
+    {file = "langchain_cli-0.0.8.tar.gz", hash = "sha256:a6b63045816ec2d120d86987b85f8fe689ffe0b957ffa5c01fa8baa84e0d3c44"},
 ]
 
 [package.dependencies]
 fastapi = ">=0.104.0,<0.105.0"
 gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
 tomli = ">=2.0.1,<3.0.0"
 typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
 uvicorn = ">=0.23.2,<0.24.0"
 
+[package.extras]
+serve = ["langserve[all] (>=0.0.16)"]
+
 [[package]]
 name = "langchainhub"
 version = "0.1.13"
@@ -704,30 +664,6 @@ files = [
 requests = ">=2,<3"
 types-requests = ">=2.31.0.2,<3.0.0.0"
 
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -964,55 +900,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygments"
@@ -1455,4 +1476,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "536a72497d55ee3cc035134264552d8b0d210bb149927e9d2013564e4b57e6e7"
+content-hash = "9a7f7b20104ca7eb575b5b2d49828eafe89430583a88fbec455cdec18e166b97"

templates/chat-bot-feedback/pyproject.toml

@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "chat-bot-feedback"
+name = "chat_bot_feedback"
 version = "0.0.1"
 description = ""
 authors = []
@@ -7,13 +7,13 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-langchain = ">=0.0.329"
+langchain = ">=0.0.325"
 openai = "^0.28.1"
 langsmith = ">=0.0.54"
 langchainhub = ">=0.1.13"
 
 [tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
+langchain-cli = ">=0.0.4"
 fastapi = "^0.104.0"
 sse-starlette = "^1.6.5"
 

templates/csv-agent/README.md

@@ -14,7 +14,7 @@ To set up the environment, the `ingest.py` script should be run to handle the in
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:
@@ -31,7 +31,7 @@ langchain app add csv-agent
 
 And add the following code to your `server.py` file:
 ```python
-from csv_agent.agent import agent_executor as csv_agent_chain
+from csv_agent.agent import chain as csv_agent_chain
 
 add_routes(app, csv_agent_chain, path="/csv-agent")
 ```

templates/csv-agent/csv_agent/__init__.py

@@ -1,3 +0,0 @@
-from csv_agent.agent import agent_executor
-
-__all__ = ["agent_executor"]

templates/csv-agent/poetry.lock

@@ -282,20 +282,6 @@ files = [
     {file = "charset_normalizer-3.3.0-py3-none-any.whl", hash = "sha256:e46cd37076971c1040fc8c41273a8b3e2c624ce4f2be3f5dfcb7a430c1d3acc2"},
 ]
 
-[[package]]
-name = "click"
-version = "8.1.7"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -370,26 +356,6 @@ files = [
     {file = "faiss_cpu-1.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:98459ceeeb735b9df1a5b94572106ffe0a6ce740eb7e4626715dd218657bb4dc"},
 ]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -460,37 +426,6 @@ files = [
     {file = "frozenlist-1.4.0.tar.gz", hash = "sha256:09163bdf0b2907454042edb19f887c6d33806adc71fbd54afc14908bfdc22251"},
 ]
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.0"
@@ -567,73 +502,6 @@ files = [
 docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
-[[package]]
-name = "h11"
-version = "0.14.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
-]
-
-[[package]]
-name = "httpcore"
-version = "1.0.1"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpcore-1.0.1-py3-none-any.whl", hash = "sha256:c5e97ef177dca2023d0b9aad98e49507ef5423e9f1d94ffe2cfe250aa28e63b0"},
-    {file = "httpcore-1.0.1.tar.gz", hash = "sha256:fce1ddf9b606cfb98132ab58865c3728c52c8e4c3c46e2aabb3674464a186e92"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.13,<0.15"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.25.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpx-0.25.1-py3-none-any.whl", hash = "sha256:fec7d6cc5c27c578a391f7e87b9aa7d3d8fbcd034f6399f9f79b45bcc12a866a"},
-    {file = "httpx-0.25.1.tar.gz", hash = "sha256:ffd96d5cf901e63863d9f1b4b6807861dbea4d301613415d9e6e57ead15fc5d0"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "*"
-idna = "*"
-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "idna"
 version = "3.4"
@@ -710,34 +578,15 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.15"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
 [[package]]
 name = "langchain-experimental"
-version = "0.0.37"
+version = "0.0.36"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_experimental-0.0.37-py3-none-any.whl", hash = "sha256:5cf5b26f142766596a1e313cabbfceb9cbd5cd2cf46f4a21e92c66ed11466dac"},
-    {file = "langchain_experimental-0.0.37.tar.gz", hash = "sha256:c30fae03702ab071b7040ff6a0fdedd4b4d1028c6c2d8481db0921d7a216e078"},
+    {file = "langchain_experimental-0.0.36-py3-none-any.whl", hash = "sha256:1d683c63849408594ca9a641bdbaa954a8cbfaa1aa0a17feeb10ea77dd122fa0"},
+    {file = "langchain_experimental-0.0.36.tar.gz", hash = "sha256:c0b84334b42b67e7d6d2653afdefafb562993daf61abaa34cb75154931fdd3c1"},
 ]
 
 [package.dependencies]
@@ -746,30 +595,6 @@ langchain = ">=0.0.308"
 [package.extras]
 extended-testing = ["faker (>=19.3.1,<20.0.0)", "presidio-analyzer (>=2.2.33,<3.0.0)", "presidio-anonymizer (>=2.2.33,<3.0.0)", "sentence-transformers (>=2,<3)", "vowpal-wabbit-next (==0.6.0)"]
 
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -785,30 +610,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -829,17 +630,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1128,20 +918,6 @@ typing-extensions = ">=4.2.0"
 dotenv = ["python-dotenv (>=0.10.4)"]
 email = ["email-validator (>=1.0.3)"]
 
-[[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
-]
-
-[package.extras]
-plugins = ["importlib-metadata"]
-
 [[package]]
 name = "python-dateutil"
 version = "2.8.2"
@@ -1334,24 +1110,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
 [[package]]
 name = "setuptools"
 version = "68.2.2"
@@ -1368,17 +1126,6 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1390,17 +1137,6 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1450,38 +1186,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -1555,17 +1259,6 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1586,30 +1279,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -1664,25 +1333,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -1773,4 +1423,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "5109be7be4a1228d6d85e94ca16ebdb31b791fb97bb764a10d564b6ddbfb00c9"
+content-hash = "921a657b2465c2377ebb06764b71e1b5eebca35a18c0d25481f43848445c4b1f"

templates/csv-agent/pyproject.toml

@@ -15,13 +15,10 @@ pandas = "^2.1.1"
 setuptools = "^68.2.2"
 tabulate = "^0.9.0"
 pydantic = "<2"
-langchain-experimental = ">=0.0.37"
-
-[tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
+langchain-experimental = "^0.0.36"
 
 [tool.langserve]
-export_module = "csv_agent"
+export_module = "csv_agent.agent"
 export_attr = "agent_executor"
 
 [build-system]

templates/docs/CONTRIBUTING.md

@@ -11,7 +11,7 @@ Set up an appropriate dev environment, and make sure you are in this `templates`
 Make sure you have `langchain-cli` installed.
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 You can then run the following command to create a new skeleton of a package.

templates/docs/LAUNCHING_PACKAGE.md

@@ -26,7 +26,7 @@ This information can be used to launch a LangServe instance automatically.
 In order to do this, first make sure the CLI is installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 You can then run:

templates/elastic-query-generator/README.md

@@ -32,7 +32,7 @@ This will create a `customers` index. In this package, we specify indexes to gen
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

templates/elastic-query-generator/elastic_query_generator/__init__.py

@@ -1,5 +0,0 @@
-from elastic_query_generator.chain import chain
-
-__all__ = [
-    "chain",
-]

templates/elastic-query-generator/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@@ -282,20 +296,6 @@ files = [
     {file = "charset_normalizer-3.3.0-py3-none-any.whl", hash = "sha256:e46cd37076971c1040fc8c41273a8b3e2c624ce4f2be3f5dfcb7a430c1d3acc2"},
 ]
 
-[[package]]
-name = "click"
-version = "8.1.7"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -372,26 +372,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -462,37 +442,6 @@ files = [
     {file = "frozenlist-1.4.0.tar.gz", hash = "sha256:09163bdf0b2907454042edb19f887c6d33806adc71fbd54afc14908bfdc22251"},
 ]
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.0"
@@ -569,73 +518,6 @@ files = [
 docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
-[[package]]
-name = "h11"
-version = "0.14.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
-]
-
-[[package]]
-name = "httpcore"
-version = "1.0.1"
-description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpcore-1.0.1-py3-none-any.whl", hash = "sha256:c5e97ef177dca2023d0b9aad98e49507ef5423e9f1d94ffe2cfe250aa28e63b0"},
-    {file = "httpcore-1.0.1.tar.gz", hash = "sha256:fce1ddf9b606cfb98132ab58865c3728c52c8e4c3c46e2aabb3674464a186e92"},
-]
-
-[package.dependencies]
-certifi = "*"
-h11 = ">=0.13,<0.15"
-
-[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
-
-[[package]]
-name = "httpx"
-version = "0.25.1"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "httpx-0.25.1-py3-none-any.whl", hash = "sha256:fec7d6cc5c27c578a391f7e87b9aa7d3d8fbcd034f6399f9f79b45bcc12a866a"},
-    {file = "httpx-0.25.1.tar.gz", hash = "sha256:ffd96d5cf901e63863d9f1b4b6807861dbea4d301613415d9e6e57ead15fc5d0"},
-]
-
-[package.dependencies]
-anyio = "*"
-certifi = "*"
-httpcore = "*"
-idna = "*"
-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (==1.*)"]
-
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "idna"
 version = "3.4"
@@ -712,49 +594,6 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.15"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.54"
@@ -770,30 +609,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -814,17 +629,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -991,69 +795,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
 
 [[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
 ]
 
-[package.extras]
-plugins = ["importlib-metadata"]
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyyaml"
@@ -1125,47 +1000,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1215,38 +1049,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1261,17 +1063,6 @@ files = [
 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1292,30 +1083,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -1358,25 +1125,6 @@ brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotl
 secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -1467,4 +1215,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "a85f833d9c66b3ad3d3736c4211bca9d79e1d09f6cd8f696fb65a9393dec7312"
+content-hash = "05fce3851c0cf59d703ca554fe9ad4e629e690223c1f09e6de2de8e41261b4c8"

templates/elastic-query-generator/pyproject.toml

@@ -11,11 +11,8 @@ langchain = ">=0.0.325"
 elasticsearch = "^8.10.1"
 openai = ">=0.27.9"
 
-[tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
-
 [tool.langserve]
-export_module = "elastic_query_generator"
+export_module = "elastic_query_generator.chain"
 export_attr = "chain"
 
 [build-system]

templates/extraction-anthropic-functions/README.md

@@ -16,7 +16,7 @@ Set the `ANTHROPIC_API_KEY` environment variable to access the Anthropic models.
 To use this package, you should first have the LangChain CLI installed:
 
 ```shell
-pip install -U langchain-cli
+pip install -U "langchain-cli[serve]"
 ```
 
 To create a new LangChain project and install this as the only package, you can do:

templates/extraction-anthropic-functions/poetry.lock

@@ -122,6 +122,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anthropic"
 version = "0.5.0"
@@ -301,20 +315,6 @@ files = [
     {file = "charset_normalizer-3.3.0-py3-none-any.whl", hash = "sha256:e46cd37076971c1040fc8c41273a8b3e2c624ce4f2be3f5dfcb7a430c1d3acc2"},
 ]
 
-[[package]]
-name = "click"
-version = "8.1.7"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -366,26 +366,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "fastapi"
-version = "0.104.1"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
-    {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
-]
-
-[package.dependencies]
-anyio = ">=3.7.1,<4.0.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.27.0,<0.28.0"
-typing-extensions = ">=4.8.0"
-
-[package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
 [[package]]
 name = "filelock"
 version = "3.12.4"
@@ -507,37 +487,6 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "greenlet"
 version = "3.0.0"
@@ -669,17 +618,6 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
-[[package]]
-name = "httpx-sse"
-version = "0.3.1"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "httpx-sse-0.3.1.tar.gz", hash = "sha256:3bb3289b2867f50cbdb2fee3eeeefecb1e86653122e164faac0023f1ffc88aea"},
-    {file = "httpx_sse-0.3.1-py3-none-any.whl", hash = "sha256:7376dd88732892f9b6b549ac0ad05a8e2341172fe7dcf9f8f9c8050934297316"},
-]
-
 [[package]]
 name = "huggingface-hub"
 version = "0.17.3"
@@ -789,25 +727,6 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
-[[package]]
-name = "langchain-cli"
-version = "0.0.15"
-description = "CLI for interacting with LangChain"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain_cli-0.0.15-py3-none-any.whl", hash = "sha256:88102d2bb9d7c9cc99a1da13302a7f95d60cb37b2dab264b808aa6e3887b046f"},
-    {file = "langchain_cli-0.0.15.tar.gz", hash = "sha256:b7ff1a8338922aadbc3b1a141ea92c0a33aaaa72124dfbfd12049fe9a4a95cec"},
-]
-
-[package.dependencies]
-fastapi = ">=0.104.0,<0.105.0"
-gitpython = ">=3.1.40,<4.0.0"
-langserve = {version = ">=0.0.16", extras = ["all"]}
-tomli = ">=2.0.1,<3.0.0"
-typer = {version = ">=0.9.0,<0.10.0", extras = ["all"]}
-uvicorn = ">=0.23.2,<0.24.0"
-
 [[package]]
 name = "langchain-experimental"
 version = "0.0.36"
@@ -840,30 +759,6 @@ files = [
 requests = ">=2,<3"
 types-requests = ">=2.31.0.2,<3.0.0.0"
 
-[[package]]
-name = "langserve"
-version = "0.0.22"
-description = ""
-optional = false
-python-versions = ">=3.8.1,<4.0.0"
-files = [
-    {file = "langserve-0.0.22-py3-none-any.whl", hash = "sha256:908239209959fc23202a09113b42c0e5838d046404a4e725602fe56af96bf340"},
-    {file = "langserve-0.0.22.tar.gz", hash = "sha256:14a33986668c8d36aa2e58dc66307c021eaac18019d2b99e7fae30f6937650d1"},
-]
-
-[package.dependencies]
-fastapi = {version = ">=0.90.1", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-httpx = ">=0.23.0"
-httpx-sse = {version = ">=0.3.1", optional = true, markers = "extra == \"client\" or extra == \"all\""}
-langchain = ">=0.0.322"
-pydantic = ">=1,<2"
-sse-starlette = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"server\" or extra == \"all\""}
-
-[package.extras]
-all = ["fastapi (>=0.90.1)", "httpx-sse (>=0.3.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-client = ["httpx-sse (>=0.3.1)"]
-server = ["fastapi (>=0.90.1)", "sse-starlette (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.53"
@@ -879,30 +774,6 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
-
-[package.dependencies]
-mdurl = ">=0.1,<1.0"
-
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
 [[package]]
 name = "marshmallow"
 version = "3.20.1"
@@ -923,17 +794,6 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "mdurl"
-version = "0.1.2"
-description = "Markdown URL utilities"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
-    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
-]
-
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1078,69 +938,140 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.4.2"
+description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737"},
-    {file = "pydantic-1.10.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ecea2b9d80e5333303eeb77e180b90e95eea8f765d08c3d278cd56b00345d01"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1740068fd8e2ef6eb27a20e5651df000978edce6da6803c2bef0bc74540f9548"},
-    {file = "pydantic-1.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84bafe2e60b5e78bc64a2941b4c071a4b7404c5c907f5f5a99b0139781e69ed8"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc0898c12f8e9c97f6cd44c0ed70d55749eaf783716896960b4ecce2edfd2d69"},
-    {file = "pydantic-1.10.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:654db58ae399fe6434e55325a2c3e959836bd17a6f6a0b6ca8107ea0571d2e17"},
-    {file = "pydantic-1.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:75ac15385a3534d887a99c713aa3da88a30fbd6204a5cd0dc4dab3d770b9bd2f"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653"},
-    {file = "pydantic-1.10.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e08865bc6464df8c7d61439ef4439829e3ab62ab1669cddea8dd00cd74b9ffe"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9"},
-    {file = "pydantic-1.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:210ce042e8f6f7c01168b2d84d4c9eb2b009fe7bf572c2266e235edf14bacd80"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8ae5dd6b721459bfa30805f4c25880e0dd78fc5b5879f9f7a692196ddcb5a580"},
-    {file = "pydantic-1.10.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"},
-    {file = "pydantic-1.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:61d9dce220447fb74f45e73d7ff3b530e25db30192ad8d425166d43c5deb6df0"},
-    {file = "pydantic-1.10.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4b03e42ec20286f052490423682016fd80fda830d8e4119f8ab13ec7464c0132"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5"},
-    {file = "pydantic-1.10.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a1f9f747851338933942db7af7b6ee8268568ef2ed86c4185c6ef4402e80ba8"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:97cce3ae7341f7620a0ba5ef6cf043975cd9d2b81f3aa5f4ea37928269bc1b87"},
-    {file = "pydantic-1.10.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854223752ba81e3abf663d685f105c64150873cc6f5d0c01d3e3220bcff7d36f"},
-    {file = "pydantic-1.10.13-cp37-cp37m-win_amd64.whl", hash = "sha256:b97c1fac8c49be29486df85968682b0afa77e1b809aff74b83081cc115e52f33"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261"},
-    {file = "pydantic-1.10.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c5370a7edaac06daee3af1c8b1192e305bc102abcbf2a92374b5bc793818599"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d6f6e7305244bddb4414ba7094ce910560c907bdfa3501e9db1a7fd7eaea127"},
-    {file = "pydantic-1.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78"},
-    {file = "pydantic-1.10.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:678bcf5591b63cc917100dc50ab6caebe597ac67e8c9ccb75e698f66038ea953"},
-    {file = "pydantic-1.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:6cf25c1a65c27923a17b3da28a0bdb99f62ee04230c931d83e888012851f4e7f"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8ef467901d7a41fa0ca6db9ae3ec0021e3f657ce2c208e98cd511f3161c762c6"},
-    {file = "pydantic-1.10.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:968ac42970f57b8344ee08837b62f6ee6f53c33f603547a55571c954a4225691"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9849f031cf8a2f0a928fe885e5a04b08006d6d41876b8bbd2fc68a18f9f2e3fd"},
-    {file = "pydantic-1.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56e3ff861c3b9c6857579de282ce8baabf443f42ffba355bf070770ed63e11e1"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f00790179497767aae6bcdc36355792c79e7bbb20b145ff449700eb076c5f96"},
-    {file = "pydantic-1.10.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:75b297827b59bc229cac1a23a2f7a4ac0031068e5be0ce385be1462e7e17a35d"},
-    {file = "pydantic-1.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d"},
-    {file = "pydantic-1.10.13-py3-none-any.whl", hash = "sha256:b87326822e71bd5f313e7d3bfdc77ac3247035ac10b0c0618bd99dcf95b1e687"},
-    {file = "pydantic-1.10.13.tar.gz", hash = "sha256:32c8b48dcd3b2ac4e78b0ba4af3a2c2eb6048cb75202f0ea7b34feb740efc340"},
+    {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
+    {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+annotated-types = ">=0.4.0"
+pydantic-core = "2.10.1"
+typing-extensions = ">=4.6.1"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+email = ["email-validator (>=2.0.0)"]
 
 [[package]]
-name = "pygments"
-version = "2.16.1"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pydantic-core"
+version = "2.10.1"
+description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Pygments-2.16.1-py3-none-any.whl", hash = "sha256:13fc09fa63bc8d8671a6d247e1eb303c4b343eaee81d861f3404db2935653692"},
-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
+    {file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
+    {file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
+    {file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
+    {file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
+    {file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
+    {file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
+    {file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
+    {file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
+    {file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
+    {file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
+    {file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
+    {file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
+    {file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
+    {file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
+    {file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
+    {file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
+    {file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
+    {file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
+    {file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
+    {file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
+    {file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
+    {file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
+    {file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
 ]
 
-[package.extras]
-plugins = ["importlib-metadata"]
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyyaml"
@@ -1212,47 +1143,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rich"
-version = "13.6.0"
-description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "rich-13.6.0-py3-none-any.whl", hash = "sha256:2b38e2fe9ca72c9a00170a1a2d20c63c790d0e10ef1fe35eba76e1e7b1d7d245"},
-    {file = "rich-13.6.0.tar.gz", hash = "sha256:5c14d22737e6d5084ef4771b62d5d4363165b403455a30a1c8ca39dc7b644bef"},
-]
-
-[package.dependencies]
-markdown-it-py = ">=2.2.0"
-pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
-
-[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<9)"]
-
-[[package]]
-name = "shellingham"
-version = "1.5.4"
-description = "Tool to Detect Surrounding Shell"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
-    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
-]
-
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -1302,38 +1192,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sse-starlette"
-version = "1.6.5"
-description = "\"SSE plugin for Starlette\""
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "sse-starlette-1.6.5.tar.gz", hash = "sha256:819f2c421fb37067380fe3dcaba246c476b02651b7bb7601099a378ad802a0ac"},
-    {file = "sse_starlette-1.6.5-py3-none-any.whl", hash = "sha256:68b6b7eb49be0c72a2af80a055994c13afcaa4761b29226beb208f954c25a642"},
-]
-
-[package.dependencies]
-starlette = "*"
-
-[[package]]
-name = "starlette"
-version = "0.27.0"
-description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
-    {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1463,17 +1321,6 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.1"
@@ -1494,30 +1341,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "typer"
-version = "0.9.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
-    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
-rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "types-requests"
 version = "2.31.0.10"
@@ -1575,25 +1398,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -1684,4 +1488,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "32425f4fb72d6ab52d341ec1a095ed74382a6245dc3e85cffcc0b24d192039e8"
+content-hash = "a48cb894a83d627fbdc277beb79a81064f1e236854d3e214ca4f8762d44b91cd"

templates/extraction-anthropic-functions/pyproject.toml

@@ -14,9 +14,6 @@ anthropic = ">=0.5.0"
 langchainhub = ">=0.1.13"
 langchain-experimental = "^0.0.36"
 
-[tool.poetry.group.dev.dependencies]
-langchain-cli = ">=0.0.15"
-
 [tool.langserve]
 export_module = "extraction_anthropic_functions"
 export_attr = "chain"