core[patch]: Fix one unit test for chat prompt template (#24362)

Minor change that fixes a unit test that had missing assertions.

.github/scripts/check_prerelease_dependencies.py

@@ -0,0 +1,35 @@
+import sys
+import tomllib
+
+if __name__ == "__main__":
+    # Get the TOML file path from the command line argument
+    toml_file = sys.argv[1]
+
+    # read toml file
+    with open(toml_file, "rb") as file:
+        toml_data = tomllib.load(file)
+
+    # see if we're releasing an rc
+    version = toml_data["tool"]["poetry"]["version"]
+    releasing_rc = "rc" in version
+
+    # if not, iterate through dependencies and make sure none allow prereleases
+    if not releasing_rc:
+        dependencies = toml_data["tool"]["poetry"]["dependencies"]
+        for lib in dependencies:
+            dep_version = dependencies[lib]
+            dep_version_string = (
+                dep_version["version"] if isinstance(dep_version, dict) else dep_version
+            )
+
+            if "rc" in dep_version_string:
+                raise ValueError(
+                    f"Dependency {lib} has a prerelease version. Please remove this."
+                )
+
+            if isinstance(dep_version, dict) and dep_version.get(
+                "allow-prereleases", False
+            ):
+                raise ValueError(
+                    f"Dependency {lib} has allow-prereleases set to true. Please remove this."
+                )

.github/workflows/_release.yml

@@ -221,6 +221,11 @@ jobs:
         run: make tests
         working-directory: ${{ inputs.working-directory }}
 
+      - name: Check for prerelease versions
+        working-directory: ${{ inputs.working-directory }}
+        run: |
+          poetry run python $GITHUB_WORKSPACE/.github/scripts/check_prerelease_dependencies.py pyproject.toml
+
       - name: Get minimum versions
         working-directory: ${{ inputs.working-directory }}
         id: min-version

docs/docs/how_to/callbacks_custom_events.ipynb

@@ -0,0 +1,342 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# How to dispatch custom callback events\n",
+    "\n",
+    ":::info Prerequisites\n",
+    "\n",
+    "This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "- [Callbacks](/docs/concepts/#callbacks)\n",
+    "- [Custom callback handlers](/docs/how_to/custom_callbacks)\n",
+    "- [Astream Events API](/docs/concepts/#astream_events) the `astream_events` method will surface custom callback events.\n",
+    ":::\n",
+    "\n",
+    "In some situations, you may want to dipsatch a custom callback event from within a [Runnable](/docs/concepts/#runnable-interface) so it can be surfaced\n",
+    "in a custom callback handler or via the [Astream Events API](/docs/concepts/#astream_events).\n",
+    "\n",
+    "For example, if you have a long running tool with multiple steps, you can dispatch custom events between the steps and use these custom events to monitor progress.\n",
+    "You could also surface these custom events to an end user of your application to show them how the current task is progressing.\n",
+    "\n",
+    "To dispatch a custom event you need to decide on two attributes for the event: the `name` and the `data`.\n",
+    "\n",
+    "| Attribute | Type | Description                                                                                              |\n",
+    "|-----------|------|----------------------------------------------------------------------------------------------------------|\n",
+    "| name      | str  | A user defined name for the event.                                                                       |\n",
+    "| data      | Any  | The data associated with the event. This can be anything, though we suggest making it JSON serializable. |\n",
+    "\n",
+    "\n",
+    ":::{.callout-important}\n",
+    "* Dispatching custom callback events requires `langchain-core>=0.2.15`.\n",
+    "* Custom callback events can only be dispatched from within an existing `Runnable`.\n",
+    "* If using `astream_events`, you must use `version='v2'` to see custom events.\n",
+    "* Sending or rendering custom callbacks events in LangSmith is not yet supported.\n",
+    ":::\n",
+    "\n",
+    "\n",
+    ":::caution COMPATIBILITY\n",
+    "LangChain cannot automatically propagate configuration, including callbacks necessary for astream_events(), to child runnables if you are running async code in python<=3.10. This is a common reason why you may fail to see events being emitted from custom runnables or tools.\n",
+    "\n",
+    "If you are running python<=3.10, you will need to manually propagate the `RunnableConfig` object to the child runnable in async environments. For an example of how to manually propagate the config, see the implementation of the `bar` RunnableLambda below.\n",
+    "\n",
+    "If you are running python>=3.11, the `RunnableConfig` will automatically propagate to child runnables in async environment. However, it is still a good idea to propagate the `RunnableConfig` manually if your code may run in other Python versions.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# | output: false\n",
+    "# | echo: false\n",
+    "\n",
+    "%pip install -qU langchain-core"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Astream Events API\n",
+    "\n",
+    "The most useful way to consume custom events is via the [Astream Events API](/docs/concepts/#astream_events).\n",
+    "\n",
+    "We can use the `async` `adispatch_custom_event` API to emit custom events in an async setting. \n",
+    "\n",
+    "\n",
+    ":::{.callout-important}\n",
+    "\n",
+    "To see custom events via the astream events API, you need to use the newer `v2` API of `astream_events`.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'event': 'on_chain_start', 'data': {'input': 'hello world'}, 'name': 'foo', 'tags': [], 'run_id': 'f354ffe8-4c22-4881-890a-c1cad038a9a6', 'metadata': {}, 'parent_ids': []}\n",
+      "{'event': 'on_custom_event', 'run_id': 'f354ffe8-4c22-4881-890a-c1cad038a9a6', 'name': 'event1', 'tags': [], 'metadata': {}, 'data': {'x': 'hello world'}, 'parent_ids': []}\n",
+      "{'event': 'on_custom_event', 'run_id': 'f354ffe8-4c22-4881-890a-c1cad038a9a6', 'name': 'event2', 'tags': [], 'metadata': {}, 'data': 5, 'parent_ids': []}\n",
+      "{'event': 'on_chain_stream', 'run_id': 'f354ffe8-4c22-4881-890a-c1cad038a9a6', 'name': 'foo', 'tags': [], 'metadata': {}, 'data': {'chunk': 'hello world'}, 'parent_ids': []}\n",
+      "{'event': 'on_chain_end', 'data': {'output': 'hello world'}, 'run_id': 'f354ffe8-4c22-4881-890a-c1cad038a9a6', 'name': 'foo', 'tags': [], 'metadata': {}, 'parent_ids': []}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_core.callbacks.manager import (\n",
+    "    adispatch_custom_event,\n",
+    ")\n",
+    "from langchain_core.runnables import RunnableLambda\n",
+    "from langchain_core.runnables.config import RunnableConfig\n",
+    "\n",
+    "\n",
+    "@RunnableLambda\n",
+    "async def foo(x: str) -> str:\n",
+    "    await adispatch_custom_event(\"event1\", {\"x\": x})\n",
+    "    await adispatch_custom_event(\"event2\", 5)\n",
+    "    return x\n",
+    "\n",
+    "\n",
+    "async for event in foo.astream_events(\"hello world\", version=\"v2\"):\n",
+    "    print(event)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In python <= 3.10, you must propagate the config manually!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'event': 'on_chain_start', 'data': {'input': 'hello world'}, 'name': 'bar', 'tags': [], 'run_id': 'c787b09d-698a-41b9-8290-92aaa656f3e7', 'metadata': {}, 'parent_ids': []}\n",
+      "{'event': 'on_custom_event', 'run_id': 'c787b09d-698a-41b9-8290-92aaa656f3e7', 'name': 'event1', 'tags': [], 'metadata': {}, 'data': {'x': 'hello world'}, 'parent_ids': []}\n",
+      "{'event': 'on_custom_event', 'run_id': 'c787b09d-698a-41b9-8290-92aaa656f3e7', 'name': 'event2', 'tags': [], 'metadata': {}, 'data': 5, 'parent_ids': []}\n",
+      "{'event': 'on_chain_stream', 'run_id': 'c787b09d-698a-41b9-8290-92aaa656f3e7', 'name': 'bar', 'tags': [], 'metadata': {}, 'data': {'chunk': 'hello world'}, 'parent_ids': []}\n",
+      "{'event': 'on_chain_end', 'data': {'output': 'hello world'}, 'run_id': 'c787b09d-698a-41b9-8290-92aaa656f3e7', 'name': 'bar', 'tags': [], 'metadata': {}, 'parent_ids': []}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_core.callbacks.manager import (\n",
+    "    adispatch_custom_event,\n",
+    ")\n",
+    "from langchain_core.runnables import RunnableLambda\n",
+    "from langchain_core.runnables.config import RunnableConfig\n",
+    "\n",
+    "\n",
+    "@RunnableLambda\n",
+    "async def bar(x: str, config: RunnableConfig) -> str:\n",
+    "    \"\"\"An example that shows how to manually propagate config.\n",
+    "\n",
+    "    You must do this if you're running python<=3.10.\n",
+    "    \"\"\"\n",
+    "    await adispatch_custom_event(\"event1\", {\"x\": x}, config=config)\n",
+    "    await adispatch_custom_event(\"event2\", 5, config=config)\n",
+    "    return x\n",
+    "\n",
+    "\n",
+    "async for event in bar.astream_events(\"hello world\", version=\"v2\"):\n",
+    "    print(event)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Async Callback Handler\n",
+    "\n",
+    "You can also consume the dispatched event via an async callback handler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Received event event1 with data: {'x': 1}, with tags: ['foo', 'bar'], with metadata: {} and run_id: a62b84be-7afd-4829-9947-7165df1f37d9\n",
+      "Received event event2 with data: 5, with tags: ['foo', 'bar'], with metadata: {} and run_id: a62b84be-7afd-4829-9947-7165df1f37d9\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from typing import Any, Dict, List, Optional\n",
+    "from uuid import UUID\n",
+    "\n",
+    "from langchain_core.callbacks import AsyncCallbackHandler\n",
+    "from langchain_core.callbacks.manager import (\n",
+    "    adispatch_custom_event,\n",
+    ")\n",
+    "from langchain_core.runnables import RunnableLambda\n",
+    "from langchain_core.runnables.config import RunnableConfig\n",
+    "\n",
+    "\n",
+    "class AsyncCustomCallbackHandler(AsyncCallbackHandler):\n",
+    "    async def on_custom_event(\n",
+    "        self,\n",
+    "        name: str,\n",
+    "        data: Any,\n",
+    "        *,\n",
+    "        run_id: UUID,\n",
+    "        tags: Optional[List[str]] = None,\n",
+    "        metadata: Optional[Dict[str, Any]] = None,\n",
+    "        **kwargs: Any,\n",
+    "    ) -> None:\n",
+    "        print(\n",
+    "            f\"Received event {name} with data: {data}, with tags: {tags}, with metadata: {metadata} and run_id: {run_id}\"\n",
+    "        )\n",
+    "\n",
+    "\n",
+    "@RunnableLambda\n",
+    "async def bar(x: str, config: RunnableConfig) -> str:\n",
+    "    \"\"\"An example that shows how to manually propagate config.\n",
+    "\n",
+    "    You must do this if you're running python<=3.10.\n",
+    "    \"\"\"\n",
+    "    await adispatch_custom_event(\"event1\", {\"x\": x}, config=config)\n",
+    "    await adispatch_custom_event(\"event2\", 5, config=config)\n",
+    "    return x\n",
+    "\n",
+    "\n",
+    "async_handler = AsyncCustomCallbackHandler()\n",
+    "await foo.ainvoke(1, {\"callbacks\": [async_handler], \"tags\": [\"foo\", \"bar\"]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sync Callback Handler\n",
+    "\n",
+    "Let's see how to emit custom events in a sync environment using `dispatch_custom_event`.\n",
+    "\n",
+    "You **must** call `dispatch_custom_event` from within an existing `Runnable`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Received event event1 with data: {'x': 1}, with tags: ['foo', 'bar'], with metadata: {} and run_id: 27b5ce33-dc26-4b34-92dd-08a89cb22268\n",
+      "Received event event2 with data: {'x': 1}, with tags: ['foo', 'bar'], with metadata: {} and run_id: 27b5ce33-dc26-4b34-92dd-08a89cb22268\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from typing import Any, Dict, List, Optional\n",
+    "from uuid import UUID\n",
+    "\n",
+    "from langchain_core.callbacks import BaseCallbackHandler\n",
+    "from langchain_core.callbacks.manager import (\n",
+    "    dispatch_custom_event,\n",
+    ")\n",
+    "from langchain_core.runnables import RunnableLambda\n",
+    "from langchain_core.runnables.config import RunnableConfig\n",
+    "\n",
+    "\n",
+    "class CustomHandler(BaseCallbackHandler):\n",
+    "    def on_custom_event(\n",
+    "        self,\n",
+    "        name: str,\n",
+    "        data: Any,\n",
+    "        *,\n",
+    "        run_id: UUID,\n",
+    "        tags: Optional[List[str]] = None,\n",
+    "        metadata: Optional[Dict[str, Any]] = None,\n",
+    "        **kwargs: Any,\n",
+    "    ) -> None:\n",
+    "        print(\n",
+    "            f\"Received event {name} with data: {data}, with tags: {tags}, with metadata: {metadata} and run_id: {run_id}\"\n",
+    "        )\n",
+    "\n",
+    "\n",
+    "@RunnableLambda\n",
+    "def foo(x: int, config: RunnableConfig) -> int:\n",
+    "    dispatch_custom_event(\"event1\", {\"x\": x})\n",
+    "    dispatch_custom_event(\"event2\", {\"x\": x})\n",
+    "    return x\n",
+    "\n",
+    "\n",
+    "handler = CustomHandler()\n",
+    "foo.invoke(1, {\"callbacks\": [handler], \"tags\": [\"foo\", \"bar\"]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Next steps\n",
+    "\n",
+    "You've seen how to emit custom events, you can check out the more in depth guide for [astream events](/docs/how_to/streaming/#using-stream-events) which is the easiest way to leverage custom events."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

docs/docs/how_to/index.mdx

@@ -225,6 +225,7 @@ For in depth how-to guides for agents, please check out [LangGraph](https://lang
 - [How to: pass callbacks into a module constructor](/docs/how_to/callbacks_constructor)
 - [How to: create custom callback handlers](/docs/how_to/custom_callbacks)
 - [How to: use callbacks in async environments](/docs/how_to/callbacks_async)
+- [How to: dispatch custom callback events](/docs/how_to/callbacks_custom_events)
 
 ### Custom
 
@@ -237,6 +238,7 @@ All of LangChain components can easily be extended to support your own versions.
 - [How to: write a custom output parser class](/docs/how_to/output_parser_custom)
 - [How to: create custom callback handlers](/docs/how_to/custom_callbacks)
 - [How to: define a custom tool](/docs/how_to/custom_tools)
+- [How to: dispatch custom callback events](/docs/how_to/callbacks_custom_events)
 
 ### Serialization
 - [How to: save and load LangChain objects](/docs/how_to/serialization)

docs/docs/how_to/tool_stream_events.ipynb

@@ -22,10 +22,11 @@
     "\n",
     "LangChain cannot automatically propagate configuration, including callbacks necessary for `astream_events()`, to child runnables if you are running `async` code in `python<=3.10`. This is a common reason why you may fail to see events being emitted from custom runnables or tools.\n",
     "\n",
-    "If you are running `python>=3.11`, configuration will automatically propagate to child runnables in async environments, and you don't need to access the `RunnableConfig` object for that tool as shown in this guide. However, it is still a good idea if your code may run in other Python versions.\n",
+    "If you are running python<=3.10, you will need to manually propagate the `RunnableConfig` object to the child runnable in async environments. For an example of how to manually propagate the config, see the implementation of the `bar` RunnableLambda below.\n",
+    "\n",
+    "If you are running python>=3.11, the `RunnableConfig` will automatically propagate to child runnables in async environment. However, it is still a good idea to propagate the `RunnableConfig` manually if your code may run in older Python versions.\n",
     "\n",
     "This guide also requires `langchain-core>=0.2.16`.\n",
-    "\n",
     ":::\n",
     "\n",
     "Say you have a custom tool that calls a chain that condenses its input by prompting a chat model to return only 10 words, then reversing the output. First, define it in a naive way:\n",
@@ -268,6 +269,7 @@
     "\n",
     "- Pass [runtime values to tools](/docs/how_to/tool_runtime)\n",
     "- Pass [tool results back to a model](/docs/how_to/tool_results_pass_to_model)\n",
+    "- [Dispatch custom callback events](/docs/how_to/callbacks_custom_events)\n",
     "\n",
     "You can also check out some more specific uses of tool calling:\n",
     "\n",
@@ -278,7 +280,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -292,9 +294,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

docs/docs/integrations/llms/pipelineai.ipynb

@@ -50,8 +50,8 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.chains import LLMChain\n",
     "from langchain_community.llms import PipelineAI\n",
+    "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.prompts import PromptTemplate"
    ]
   },
@@ -123,7 +123,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm_chain = LLMChain(prompt=prompt, llm=llm)"
+    "llm_chain = prompt | llm | StrOutputParser()"
    ]
   },
   {
@@ -142,7 +142,7 @@
    "source": [
     "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
     "\n",
-    "llm_chain.run(question)"
+    "llm_chain.invoke(question)"
    ]
   }
  ],

docs/docs/integrations/tools/infobip.ipynb

@@ -22,7 +22,7 @@
     "`InfobipAPIWrapper` uses name parameters where you can provide credentials:\n",
     "\n",
     "- `infobip_api_key` - [API Key](https://www.infobip.com/docs/essentials/api-authentication#api-key-header) that you can find in your [developer tools](https://portal.infobip.com/dev/api-keys)\n",
-    "- `infobip_base_url` - [Base url](https://www.infobip.com/docs/essentials/base-url) for Infobip API. You can use default value `https://api.infobip.com/`.\n",
+    "- `infobip_base_url` - [Base url](https://www.infobip.com/docs/essentials/base-url) for Infobip API. You can use the default value `https://api.infobip.com/`.\n",
     "\n",
     "You can also provide `infobip_api_key` and `infobip_base_url` as environment variables `INFOBIP_API_KEY` and `INFOBIP_BASE_URL`."
    ]
@@ -60,7 +60,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Sending a Email"
+    "## Sending an Email"
    ]
   },
   {

libs/community/langchain_community/chat_models/baichuan.py

@@ -106,10 +106,145 @@ async def aconnect_httpx_sse(
 
 
 class ChatBaichuan(BaseChatModel):
-    """Baichuan chat models API by Baichuan Intelligent Technology.
+    """Baichuan chat model integration.
 
-    For more information, see https://platform.baichuan-ai.com/docs/api
-    """
+    Setup:
+        To use, you should have the environment variable``BAICHUAN_API_KEY`` set with
+    your API KEY.
+
+        .. code-block:: bash
+
+            export BAICHUAN_API_KEY="your-api-key"
+
+    Key init args — completion params:
+        model: Optional[str]
+            Name of Baichuan model to use.
+        max_tokens: Optional[int]
+            Max number of tokens to generate.
+        streaming: Optional[bool]
+            Whether to stream the results or not.
+        temperature: Optional[float]
+            Sampling temperature.
+        top_p: Optional[float]
+            What probability mass to use.
+        top_k: Optional[int]
+            What search sampling control to use.
+
+    Key init args — client params:
+        api_key: Optional[str]
+            MiniMax API key. If not passed in will be read from env var BAICHUAN_API_KEY.
+        base_url: Optional[str]
+            Base URL for API requests.
+
+    See full list of supported init args and their descriptions in the params section.
+
+    Instantiate:
+        .. code-block:: python
+
+            from langchain_community.chat_models import ChatBaichuan
+
+            chat = ChatBaichuan(
+                api_key=api_key,
+                model='Baichuan4',
+                # temperature=...,
+                # other params...
+            )
+
+    Invoke:
+        .. code-block:: python
+
+            messages = [
+                ("system", "你是一名专业的翻译家，可以将用户的中文翻译为英文。"),
+                ("human", "我喜欢编程。"),
+            ]
+            chat.invoke(messages)
+
+        .. code-block:: python
+
+            AIMessage(
+                content='I enjoy programming.',
+                response_metadata={
+                    'token_usage': {
+                        'prompt_tokens': 93,
+                        'completion_tokens': 5,
+                        'total_tokens': 98
+                    },
+                    'model': 'Baichuan4'
+                },
+                id='run-944ff552-6a93-44cf-a861-4e4d849746f9-0'
+            )
+
+    Stream:
+        .. code-block:: python
+
+            for chunk in chat.stream(messages):
+                print(chunk)
+
+        .. code-block:: python
+
+            content='I' id='run-f99fcd6f-dd31-46d5-be8f-0b6a22bf77d8'
+            content=' enjoy programming.' id='run-f99fcd6f-dd31-46d5-be8f-0b6a22bf77d8
+
+        .. code-block:: python
+
+            stream = chat.stream(messages)
+            full = next(stream)
+            for chunk in stream:
+                full += chunk
+            full
+
+        .. code-block:: python
+
+            AIMessageChunk(
+                content='I like programming.',
+                id='run-74689970-dc31-461d-b729-3b6aa93508d2'
+            )
+
+    Async:
+        .. code-block:: python
+
+            await chat.ainvoke(messages)
+
+            # stream
+            # async for chunk in chat.astream(messages):
+            #     print(chunk)
+
+            # batch
+            # await chat.abatch([messages])
+
+        .. code-block:: python
+
+            AIMessage(
+                content='I enjoy programming.',
+                response_metadata={
+                    'token_usage': {
+                        'prompt_tokens': 93,
+                        'completion_tokens': 5,
+                        'total_tokens': 98
+                    },
+                    'model': 'Baichuan4'
+                },
+                id='run-952509ed-9154-4ff9-b187-e616d7ddfbba-0'
+            )
+
+    Response metadata
+        .. code-block:: python
+
+            ai_msg = chat.invoke(messages)
+            ai_msg.response_metadata
+
+        .. code-block:: python
+
+            {
+                'token_usage': {
+                    'prompt_tokens': 93,
+                    'completion_tokens': 5,
+                    'total_tokens': 98
+                },
+                'model': 'Baichuan4'
+            }
+
+    """  # noqa: E501
 
     @property
     def lc_secrets(self) -> Dict[str, str]:

libs/community/langchain_community/utilities/sql_database.py

@@ -203,7 +203,7 @@ class SQLDatabase:
 
             context = get_context()
             default_host = context.browserHostName
-        except ImportError:
+        except (ImportError, AttributeError):
             default_host = None
 
         if host is None:

libs/community/langchain_community/vectorstores/neo4j_vector.py

@@ -854,11 +854,11 @@ class Neo4jVector(VectorStore):
             "CALL { WITH row "
             f"MERGE (c:`{self.node_label}` {{id: row.id}}) "
             "WITH c, row "
-            f"CALL db.create.setVectorProperty(c, "
+            f"CALL db.create.setNodeVectorProperty(c, "
             f"'{self.embedding_node_property}', row.embedding) "
-            "YIELD node "
             f"SET c.`{self.text_node_property}` = row.text "
-            "SET c += row.metadata } IN TRANSACTIONS OF 1000 ROWS"
+            "SET c += row.metadata "
+            "} IN TRANSACTIONS OF 1000 ROWS "
         )
 
         parameters = {
@@ -1462,9 +1462,9 @@ class Neo4jVector(VectorStore):
                 "UNWIND $data AS row "
                 f"MATCH (n:`{node_label}`) "
                 "WHERE elementId(n) = row.id "
-                f"CALL db.create.setVectorProperty(n, "
+                f"CALL db.create.setNodeVectorProperty(n, "
                 f"'{embedding_node_property}', row.embedding) "
-                "YIELD node RETURN count(*)",
+                "RETURN count(*)",
                 params=params,
             )
             # If embedding calculation should be stopped

libs/community/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -2117,7 +2117,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.7"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -2127,7 +2127,7 @@ develop = true
 [package.dependencies]
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-langchain-core = "^0.2.12"
+langchain-core = "^0.2.20"
 langchain-text-splitters = "^0.2.0"
 langsmith = "^0.1.17"
 numpy = [
@@ -2146,7 +2146,7 @@ url = "../langchain"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.12"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -3101,8 +3101,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -5759,4 +5759,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "9fa87c53b1c9bd1c44b6122318d672c4f71b3b3159cee318c13e9e628dd31d0b"
+content-hash = "432e9be25dd09ad35f57892d2333931c22050152dab6c2f979f0933c7e3df5b0"

libs/community/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-community"
-version = "0.2.7"
+version = "0.2.8"
 description = "Community contributed LangChain integrations."
 authors = []
 license = "MIT"
@@ -26,8 +26,8 @@ ignore-words-list = "momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogy
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-langchain-core = "^0.2.12"
-langchain = "^0.2.7"
+langchain-core = "^0.2.20"
+langchain = "^0.2.9"
 SQLAlchemy = ">=1.4,<3"
 requests = "^2"
 PyYAML = ">=5.3"

libs/community/tests/integration_tests/vectorstores/test_neo4jvector.py

@@ -1,9 +1,11 @@
 """Test Neo4jVector functionality."""
 
 import os
+from math import isclose
 from typing import Any, Dict, List, cast
 
 from langchain_core.documents import Document
+from yaml import safe_load
 
 from langchain_community.graphs import Neo4jGraph
 from langchain_community.vectorstores.neo4j_vector import (
@@ -197,7 +199,10 @@ def test_neo4jvector_with_metadatas_with_scores() -> None:
         password=password,
         pre_delete_collection=True,
     )
-    output = docsearch.similarity_search_with_score("foo", k=1)
+    output = [
+        (doc, round(score, 1))
+        for doc, score in docsearch.similarity_search_with_score("foo", k=1)
+    ]
     assert output == [(Document(page_content="foo", metadata={"page": "0"}), 1.0)]
 
     drop_vector_indexes(docsearch)
@@ -217,12 +222,21 @@ def test_neo4jvector_relevance_score() -> None:
     )
 
     output = docsearch.similarity_search_with_relevance_scores("foo", k=3)
-    assert output == [
+    expected_output = [
         (Document(page_content="foo", metadata={"page": "0"}), 1.0),
         (Document(page_content="bar", metadata={"page": "1"}), 0.9998376369476318),
         (Document(page_content="baz", metadata={"page": "2"}), 0.9993523359298706),
     ]
 
+    # Check if the length of the outputs matches
+    assert len(output) == len(expected_output)
+
+    # Check if each document and its relevance score is close to the expected value
+    for (doc, score), (expected_doc, expected_score) in zip(output, expected_output):
+        assert doc.page_content == expected_doc.page_content
+        assert doc.metadata == expected_doc.metadata
+        assert isclose(score, expected_score, rel_tol=1e-5)
+
     drop_vector_indexes(docsearch)
 
 
@@ -779,8 +793,16 @@ def test_retrieval_dictionary() -> None:
             )
         )
     ]
+
     output = docsearch.similarity_search("Foo", k=1)
-    assert output == expected_output
+
+    def parse_document(doc: Document) -> Any:
+        return safe_load(doc.page_content)
+
+    parsed_expected = [parse_document(doc) for doc in expected_output]
+    parsed_output = [parse_document(doc) for doc in output]
+
+    assert parsed_output == parsed_expected
     drop_vector_indexes(docsearch)
 
 

libs/core/langchain_core/callbacks/base.py

@@ -392,7 +392,7 @@ class RunManagerMixin:
             metadata: The metadata associated with the custom event
                 (includes inherited metadata).
 
-        .. versionadded:: 0.2.14
+        .. versionadded:: 0.2.15
         """
 
 
@@ -851,7 +851,7 @@ class AsyncCallbackHandler(BaseCallbackHandler):
             metadata: The metadata associated with the custom event
                 (includes inherited metadata).
 
-        .. versionadded:: 0.2.14
+        .. versionadded:: 0.2.15
         """
 
 

libs/core/langchain_core/callbacks/manager.py

@@ -1545,8 +1545,6 @@ class CallbackManager(BaseCallbackManager):
         local_tags: Optional[List[str]] = None,
         inheritable_metadata: Optional[Dict[str, Any]] = None,
         local_metadata: Optional[Dict[str, Any]] = None,
-        *,
-        parent: Optional[str] = None,
     ) -> CallbackManager:
         """Configure the callback manager.
 
@@ -1564,8 +1562,6 @@ class CallbackManager(BaseCallbackManager):
                 metadata. Defaults to None.
             local_metadata (Optional[Dict[str, Any]], optional): The local metadata.
                 Defaults to None.
-            parent (Optional[str], optional): The parent run's dotted order.
-                Defaults to None.
 
         Returns:
             CallbackManager: The configured callback manager.
@@ -1579,7 +1575,6 @@ class CallbackManager(BaseCallbackManager):
             local_tags,
             inheritable_metadata,
             local_metadata,
-            parent=parent,
         )
 
 
@@ -1977,8 +1972,6 @@ class AsyncCallbackManager(BaseCallbackManager):
         local_tags: Optional[List[str]] = None,
         inheritable_metadata: Optional[Dict[str, Any]] = None,
         local_metadata: Optional[Dict[str, Any]] = None,
-        *,
-        parent: Optional[str] = None,
     ) -> AsyncCallbackManager:
         """Configure the async callback manager.
 
@@ -1996,8 +1989,6 @@ class AsyncCallbackManager(BaseCallbackManager):
                 metadata. Defaults to None.
             local_metadata (Optional[Dict[str, Any]], optional): The local metadata.
                 Defaults to None.
-            parent (Optional[str], optional): The parent run's dotted order.
-                Defaults to None.
 
         Returns:
             AsyncCallbackManager: The configured async callback manager.
@@ -2011,7 +2002,6 @@ class AsyncCallbackManager(BaseCallbackManager):
             local_tags,
             inheritable_metadata,
             local_metadata,
-            parent,
         )
 
 
@@ -2102,7 +2092,6 @@ def _configure(
     local_tags: Optional[List[str]] = None,
     inheritable_metadata: Optional[Dict[str, Any]] = None,
     local_metadata: Optional[Dict[str, Any]] = None,
-    parent: Optional[str] = None,
 ) -> T:
     """Configure the callback manager.
 
@@ -2124,8 +2113,6 @@ def _configure(
     Returns:
         T: The configured callback manager.
     """
-    from langsmith.run_trees import RunTree
-
     from langchain_core.tracers.context import (
         _configure_hooks,
         _get_tracer_project,
@@ -2134,13 +2121,7 @@ def _configure(
     )
 
     run_tree = get_run_tree_context()
-    if run_tree is not None:
-        parent_run_id = None if run_tree is None else run_tree.id
-    elif parent is not None:
-        run_tree = RunTree.from_dotted_order(parent)
-        parent_run_id = run_tree.id
-    else:
-        parent_run_id = None
+    parent_run_id = None if run_tree is None else run_tree.id
     callback_manager = callback_manager_cls(handlers=[], parent_run_id=parent_run_id)
     if inheritable_callbacks or local_callbacks:
         if isinstance(inheritable_callbacks, list) or inheritable_callbacks is None:
@@ -2360,7 +2341,7 @@ async def adispatch_custom_event(
         LangChain from automatically propagating the config object on the user's
         behalf.
 
-    .. versionadded:: 0.2.14
+    .. versionadded:: 0.2.15
     """
     from langchain_core.runnables.config import (
         ensure_config,
@@ -2429,7 +2410,7 @@ def dispatch_custom_event(
             foo_ = RunnableLambda(foo)
             foo_.invoke({"a": "1"}, {"callbacks": [CustomCallbackManager()]})
 
-    .. versionadded:: 0.2.14
+    .. versionadded:: 0.2.15
     """
     from langchain_core.runnables.config import (
         ensure_config,

libs/core/langchain_core/retrievers.py

@@ -201,7 +201,6 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
             local_tags=self.tags,
             inheritable_metadata=config.get("metadata"),
             local_metadata=self.metadata,
-            parent=config.get("parent"),
         )
         run_manager = callback_manager.on_retriever_start(
             dumpd(self),
@@ -261,7 +260,6 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
             local_tags=self.tags,
             inheritable_metadata=config.get("metadata"),
             local_metadata=self.metadata,
-            parent=config.get("parent"),
         )
         run_manager = await callback_manager.on_retriever_start(
             dumpd(self),

libs/core/langchain_core/runnables/base.py

@@ -2896,7 +2896,6 @@ class RunnableSequence(RunnableSerializable[Input, Output]):
                 local_tags=None,
                 inheritable_metadata=config.get("metadata"),
                 local_metadata=None,
-                parent=config.get("parent"),
             )
             for config in configs
         ]
@@ -3023,7 +3022,6 @@ class RunnableSequence(RunnableSerializable[Input, Output]):
                 local_tags=None,
                 inheritable_metadata=config.get("metadata"),
                 local_metadata=None,
-                parent=config.get("parent"),
             )
             for config in configs
         ]
@@ -3484,7 +3482,6 @@ class RunnableParallel(RunnableSerializable[Input, Dict[str, Any]]):
             local_tags=None,
             inheritable_metadata=config.get("metadata"),
             local_metadata=None,
-            parent=config.get("parent"),
         )
         # start the root run
         run_manager = callback_manager.on_chain_start(

libs/core/langchain_core/runnables/config.py

@@ -104,11 +104,6 @@ class RunnableConfig(TypedDict, total=False):
         will be generated.
     """
 
-    parent: Optional[str]
-    """
-    The parent dotted order in the trace. If not provided, the parent will be inferred
-        from the tracing context."""
-
 
 var_child_runnable_config = ContextVar(
     "child_runnable_config", default=RunnableConfig()
@@ -149,7 +144,6 @@ def ensure_config(config: Optional[RunnableConfig] = None) -> RunnableConfig:
         metadata={},
         callbacks=None,
         recursion_limit=25,
-        parent=None,
     )
     if var_config := var_child_runnable_config.get():
         empty.update(
@@ -441,7 +435,6 @@ def get_callback_manager_for_config(config: RunnableConfig) -> CallbackManager:
         inheritable_callbacks=config.get("callbacks"),
         inheritable_tags=config.get("tags"),
         inheritable_metadata=config.get("metadata"),
-        parent=config.get("parent"),
     )
 
 
@@ -462,7 +455,6 @@ def get_async_callback_manager_for_config(
         inheritable_callbacks=config.get("callbacks"),
         inheritable_tags=config.get("tags"),
         inheritable_metadata=config.get("metadata"),
-        parent=config.get("parent"),
     )
 
 

libs/core/langchain_core/runnables/fallbacks.py

@@ -272,7 +272,6 @@ class RunnableWithFallbacks(RunnableSerializable[Input, Output]):
                 local_tags=None,
                 inheritable_metadata=config.get("metadata"),
                 local_metadata=None,
-                parent=config.get("parent"),
             )
             for config in configs
         ]
@@ -365,7 +364,6 @@ class RunnableWithFallbacks(RunnableSerializable[Input, Output]):
                 local_tags=None,
                 inheritable_metadata=config.get("metadata"),
                 local_metadata=None,
-                parent=config.get("parent"),
             )
             for config in configs
         ]

libs/core/langchain_core/runnables/schema.py

@@ -159,7 +159,7 @@ class StandardStreamEvent(BaseStreamEvent):
 class CustomStreamEvent(BaseStreamEvent):
     """Custom stream event created by the user.
 
-    .. versionadded:: 0.2.14
+    .. versionadded:: 0.2.15
     """
 
     # Overwrite the event field to be more specific.

libs/core/langchain_core/tools.py

@@ -576,7 +576,6 @@ class ChildTool(BaseTool):
             self.tags,
             metadata,
             self.metadata,
-            parent=config.get("parent"),
         )
 
         run_manager = callback_manager.on_tool_start(
@@ -684,7 +683,6 @@ class ChildTool(BaseTool):
             self.tags,
             metadata,
             self.metadata,
-            parent=config.get("parent"),
         )
         run_manager = await callback_manager.on_tool_start(
             {"name": self.name, "description": self.description},

libs/core/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-core"
-version = "0.2.19"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"

libs/core/tests/unit_tests/prompts/test_chat.py

@@ -794,14 +794,15 @@ def test_chat_input_schema(snapshot: SnapshotAssertion) -> None:
     prompt_all_required = ChatPromptTemplate.from_messages(
         messages=[MessagesPlaceholder("history", optional=False), ("user", "${input}")]
     )
-    prompt_all_required.input_variables == {"input"}
-    prompt_all_required.optional_variables == {"history"}
+    assert set(prompt_all_required.input_variables) == {"input", "history"}
+    assert prompt_all_required.optional_variables == []
     with pytest.raises(ValidationError):
         prompt_all_required.input_schema(input="")
     assert prompt_all_required.input_schema.schema() == snapshot(name="required")
     prompt_optional = ChatPromptTemplate.from_messages(
         messages=[MessagesPlaceholder("history", optional=True), ("user", "${input}")]
     )
-    prompt_optional.input_variables == {"history", "input"}
+    # input variables only lists required variables
+    assert set(prompt_optional.input_variables) == {"input"}
     prompt_optional.input_schema(input="")  # won't raise error
-    prompt_optional.input_schema.schema() == snapshot(name="partial")
+    assert prompt_optional.input_schema.schema() == snapshot(name="partial")

libs/core/tests/unit_tests/runnables/test_tracing_interops.py

@@ -1,6 +1,5 @@
 import json
 import sys
-from typing import Optional
 from unittest.mock import MagicMock, patch
 
 import pytest
@@ -30,15 +29,7 @@ def _get_posts(client: Client) -> list:
     return posts
 
 
-@pytest.mark.parametrize(
-    "dotted_order",
-    [
-        None,
-        "20240716T222505213101Z6bc70600-21d8-41d0-b54b-175f80b02130.20240716T222505315288Z180de013-f114-439a-86e2-ac15d1393f5a",
-        "20240716T222505213101Z6bc70600-21d8-41d0-b54b-175f80b02130",
-    ],
-)
-def test_config_traceable_handoff(dotted_order: Optional[str]) -> None:
+def test_config_traceable_handoff() -> None:
     mock_session = MagicMock()
     mock_client_ = Client(
         session=mock_session, api_key="test", auto_batch_tracing=False
@@ -70,10 +61,7 @@ def test_config_traceable_handoff(dotted_order: Optional[str]) -> None:
 
     my_parent_runnable = RunnableLambda(my_parent_function)
 
-    assert (
-        my_parent_runnable.invoke(1, {"callbacks": [tracer], "parent": dotted_order})
-        == 6
-    )
+    assert my_parent_runnable.invoke(1, {"callbacks": [tracer]}) == 6
     posts = _get_posts(mock_client_)
     # There should have been 6 runs created,
     # one for each function invocation
@@ -90,12 +78,10 @@ def test_config_traceable_handoff(dotted_order: Optional[str]) -> None:
     trace_id = posts[0]["trace_id"]
     last_dotted_order = None
     parent_run_id = None
-    if dotted_order is not None:
-        parent_run_id = dotted_order.split(".")[-1].split("Z")[-1]
     for name in ordered_names:
         id_ = name_to_body[name]["id"]
         parent_run_id_ = name_to_body[name]["parent_run_id"]
-        if parent_run_id is not None:
+        if parent_run_id_ is not None:
             assert parent_run_id == parent_run_id_
         assert name in name_to_body
         # All within the same trace
@@ -115,15 +101,7 @@ def test_config_traceable_handoff(dotted_order: Optional[str]) -> None:
 @pytest.mark.skipif(
     sys.version_info < (3, 11), reason="Asyncio context vars require Python 3.11+"
 )
-@pytest.mark.parametrize(
-    "dotted_order",
-    [
-        None,
-        "20240716T222505213101Z6bc70600-21d8-41d0-b54b-175f80b02130.20240716T222505315288Z180de013-f114-439a-86e2-ac15d1393f5a",
-        "20240716T222505213101Z6bc70600-21d8-41d0-b54b-175f80b02130",
-    ],
-)
-async def test_config_traceable_async_handoff(dotted_order: Optional[str]) -> None:
+async def test_config_traceable_async_handoff() -> None:
     mock_session = MagicMock()
     mock_client_ = Client(
         session=mock_session, api_key="test", auto_batch_tracing=False
@@ -154,9 +132,7 @@ async def test_config_traceable_async_handoff(dotted_order: Optional[str]) -> No
         return await my_function(a)
 
     my_parent_runnable = RunnableLambda(my_parent_function)  # type: ignore
-    result = await my_parent_runnable.ainvoke(
-        1, {"callbacks": [tracer], "parent": dotted_order}
-    )
+    result = await my_parent_runnable.ainvoke(1, {"callbacks": [tracer]})
     assert result == 6
     posts = _get_posts(mock_client_)
     # There should have been 6 runs created,
@@ -174,12 +150,10 @@ async def test_config_traceable_async_handoff(dotted_order: Optional[str]) -> No
     trace_id = posts[0]["trace_id"]
     last_dotted_order = None
     parent_run_id = None
-    if dotted_order is not None:
-        parent_run_id = dotted_order.split(".")[-1].split("Z")[-1]
     for name in ordered_names:
         id_ = name_to_body[name]["id"]
         parent_run_id_ = name_to_body[name]["parent_run_id"]
-        if parent_run_id is not None:
+        if parent_run_id_ is not None:
             assert parent_run_id == parent_run_id_
         assert name in name_to_body
         # All within the same trace

libs/langchain/poetry.lock

@@ -1760,7 +1760,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.2.19"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -4561,4 +4561,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "dbfb4729eead4be01e0cfb99e4a4a4969e1bf5c9cf7a752d8fdc53593808948c"
+content-hash = "717e3c652887444e5a074765cb31bb8cbc9a17871ccf610d97bc9bc3341f37f0"

libs/langchain/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain"
-version = "0.2.8"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"
@@ -29,7 +29,7 @@ langchain-server = "langchain.server:main"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-langchain-core = "^0.2.19"
+langchain-core = "^0.2.20"
 langchain-text-splitters = "^0.2.0"
 langsmith = "^0.1.17"
 pydantic = ">=1,<3"

libs/partners/openai/langchain_openai/chat_models/base.py

@@ -631,8 +631,11 @@ class BaseChatOpenAI(BaseChatModel):
                     "output_tokens": token_usage.get("completion_tokens", 0),
                     "total_tokens": token_usage.get("total_tokens", 0),
                 }
-            generation_info = dict(
-                finish_reason=res.get("finish_reason"), **(generation_info or {})
+            generation_info = generation_info or {}
+            generation_info["finish_reason"] = (
+                res.get("finish_reason")
+                if res.get("finish_reason") is not None
+                else generation_info.get("finish_reason")
             )
             if "logprobs" in res:
                 generation_info["logprobs"] = res["logprobs"]
@@ -660,7 +663,7 @@ class BaseChatOpenAI(BaseChatModel):
             response = raw_response.parse()
             base_generation_info = {"headers": dict(raw_response.headers)}
         else:
-            response = self.async_client.create(**payload)
+            response = await self.async_client.create(**payload)
             base_generation_info = {}
         async with response:
             is_first_chunk = True

libs/partners/openai/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -176,63 +176,63 @@ files = [
 
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 name = "coverage"
-version = "7.5.4"
+version = "7.6.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -254,13 +254,13 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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 ]
 
 [package.extras]
@@ -385,7 +385,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.2.17"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -427,13 +427,13 @@ url = "../../standard-tests"
 
 [[package]]
 name = "langsmith"
-version = "0.1.85"
+version = "0.1.88"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langsmith-0.1.88.tar.gz", hash = "sha256:28a07dec19197f4808aa2628d5a3ccafcbe14cc137aef0e607bbd128e7907821"},
 ]
 
 [package.dependencies]
@@ -586,13 +586,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.35.13"
+version = "1.35.14"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1188,29 +1188,29 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.5.1"
+version = "0.5.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.5.2.tar.gz", hash = "sha256:2c0df2d2de685433794a14d8d2e240df619b748fbe3367346baa519d8e6f1ca2"},
 ]
 
 [[package]]
@@ -1433,4 +1433,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "fd17bc3337eebb3fa09c1b2df243ac34b3449a03c2ff18cd48ea400138fb2e09"
+content-hash = "82c06166f5c2edbed3efa76cb6d799cabffdba6642fb2c47c523442c50f3e711"

libs/partners/openai/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-openai"
-version = "0.1.16"
+version = "0.1.17"
 description = "An integration package connecting OpenAI and LangChain"
 authors = []
 readme = "README.md"
@@ -22,7 +22,7 @@ ignore_missing_imports = true
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-langchain-core = "^0.2.17"
+langchain-core = "^0.2.20"
 openai = "^1.32.0"
 tiktoken = ">=0.7,<1"
 

libs/partners/pinecone/poetry.lock

@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 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"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [package.dependencies]
@@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
-    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -38,13 +38,13 @@ trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
@@ -148,13 +148,13 @@ files = [
 
 [[package]]
 name = "codespell"
-version = "2.2.6"
+version = "2.3.0"
 description = "Codespell"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "codespell-2.2.6.tar.gz", hash = "sha256:a8c65d8eb3faa03deabab6b3bbe798bea72e1799c7e9e955d57eca4096abcff9"},
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+    {file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
 ]
 
 [package.extras]
@@ -187,13 +187,13 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
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+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [package.extras]
@@ -307,18 +307,18 @@ jsonpointer = ">=1.9"
 
 [[package]]
 name = "jsonpointer"
-version = "2.4"
+version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
 files = [
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-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
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 ]
 
 [[package]]
 name = "langchain-core"
-version = "0.2.11"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -342,7 +342,7 @@ url = "../../core"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.13"
+version = "0.1.16"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -350,7 +350,7 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = ">=0.2.2,<0.3"
+langchain-core = "^0.2.17"
 openai = "^1.32.0"
 tiktoken = ">=0.7,<1"
 
@@ -360,18 +360,21 @@ url = "../openai"
 
 [[package]]
 name = "langsmith"
-version = "0.1.77"
+version = "0.1.88"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langsmith-0.1.88.tar.gz", hash = "sha256:28a07dec19197f4808aa2628d5a3ccafcbe14cc137aef0e607bbd128e7907821"},
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 [package.dependencies]
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-pydantic = ">=1,<3"
+pydantic = [
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+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 requests = ">=2,<3"
 
 [[package]]
@@ -516,13 +519,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.35.7"
+version = "1.35.14"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -539,83 +542,89 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "orjson"
-version = "3.10.3"
+version = "3.10.6"
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 python-versions = ">=3.8"
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-version = "23.2"
+version = "24.1"
 description = "Core utilities for Python packages"
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-python-versions = ">=3.7"
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 name = "pinecone-client"
-version = "4.1.0"
+version = "4.1.2"
 description = "Pinecone client and SDK"
 optional = false
 python-versions = "<4.0,>=3.8"
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 [package.dependencies]
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+pinecone-plugin-interface = ">=0.0.7,<0.0.8"
 tqdm = ">=4.64.1"
 typing-extensions = ">=3.7.4"
 urllib3 = [
@@ -626,6 +635,17 @@ urllib3 = [
 [package.extras]
 grpc = ["googleapis-common-protos (>=1.53.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=4.25,<5.0)", "protoc-gen-openapiv2 (>=0.0.1,<0.0.2)"]
 
+[[package]]
+name = "pinecone-plugin-interface"
+version = "0.0.7"
+description = "Plugin interface for the Pinecone python client"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+]
+
 [[package]]
 name = "pluggy"
 version = "1.5.0"
@@ -643,109 +663,119 @@ testing = ["pytest", "pytest-benchmark"]
 
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-typing-extensions = ">=4.6.1"
+pydantic-core = "2.20.1"
+typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
 
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 [package.dependencies]
@@ -987,13 +1017,13 @@ files = [
 
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 description = "Python HTTP for Humans."
 optional = false
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 [package.dependencies]
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 ]
 
 [[package]]
@@ -1071,13 +1101,13 @@ pytest = ">=7.0.0,<9.0.0"
 
 [[package]]
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-version = "8.3.0"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -1169,24 +1199,24 @@ telegram = ["requests"]
 
 [[package]]
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 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.1"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1197,40 +1227,43 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "watchdog"
-version = "4.0.0"
+version = "4.0.1"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]

libs/partners/pinecone/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-pinecone"
-version = "0.1.1"
+version = "0.1.2"
 description = "An integration package connecting Pinecone and LangChain"
 authors = []
 readme = "README.md"