mirror of
https://github.com/hwchase17/langchain.git
synced 2026-02-21 06:33:41 +00:00
Merge branch 'master' into wip-v1.0
This commit is contained in:
Mason Daugherty
GitHub
@@ -83,3 +83,4 @@ concepts behind the LangChain framework.
|
||||
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
|
||||
- [API Reference](https://python.langchain.com/api_reference/): Detailed reference on
|
||||
navigating base packages and integrations for LangChain.
|
||||
- [Chat LangChain](https://chat.langchain.com/): Ask questions & chat with our documentation
|
||||
|
||||
@@ -223,6 +223,49 @@ If codespell is incorrectly flagging a word, you can skip spellcheck for that wo
|
||||
ignore-words-list = 'momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogyny,unsecure'
|
||||
```
|
||||
|
||||
### Pre-commit
|
||||
|
||||
We use [pre-commit](https://pre-commit.com/) to ensure commits are formatted/linted.
|
||||
|
||||
#### Installing Pre-commit
|
||||
|
||||
First, install pre-commit:
|
||||
|
||||
```bash
|
||||
# Option 1: Using uv (recommended)
|
||||
uv tool install pre-commit
|
||||
|
||||
# Option 2: Using Homebrew (globally for macOS/Linux)
|
||||
brew install pre-commit
|
||||
|
||||
# Option 3: Using pip
|
||||
pip install pre-commit
|
||||
```
|
||||
|
||||
Then install the git hook scripts:
|
||||
|
||||
```bash
|
||||
pre-commit install
|
||||
```
|
||||
|
||||
#### How Pre-commit Works
|
||||
|
||||
Once installed, pre-commit will automatically run on every `git commit`. Hooks are specified in `.pre-commit-config.yaml` and will:
|
||||
|
||||
- Format code using `ruff` for the specific library/package you're modifying
|
||||
- Only run on files that have changed
|
||||
- Prevent commits if formatting fails
|
||||
|
||||
#### Skipping Pre-commit
|
||||
|
||||
In exceptional cases, you can skip pre-commit hooks with:
|
||||
|
||||
```bash
|
||||
git commit --no-verify
|
||||
```
|
||||
|
||||
However, this is discouraged as the CI system will still enforce the same formatting rules.
|
||||
|
||||
## Working with optional dependencies
|
||||
|
||||
`langchain`, `langchain-community`, and `langchain-experimental` rely on optional dependencies to keep these packages lightweight.
|
||||
|
||||
@@ -53,7 +53,7 @@
|
||||
"\n",
|
||||
"To keep the most recent messages, we set `strategy=\"last\"`. We'll also set `include_system=True` to include the `SystemMessage`, and `start_on=\"human\"` to make sure the resulting chat history is valid. \n",
|
||||
"\n",
|
||||
"This is a good default configuration when using `trim_messages` based on token count. Remember to adjust `token_counter` and `max_tokens` for your use case.\n",
|
||||
"This is a good default configuration when using `trim_messages` based on token count. Remember to adjust `token_counter` and `max_tokens` for your use case. Keep in mind that new queries added to the chat history will be included in the token count unless you trim prior to adding the new query.\n",
|
||||
"\n",
|
||||
"Notice that for our `token_counter` we can pass in a function (more on that below) or a language model (since language models have a message token counting method). It makes sense to pass in a model when you're trimming your messages to fit into the context window of that specific model:"
|
||||
]
|
||||
@@ -525,7 +525,7 @@
|
||||
"id": "4d91d390-e7f7-467b-ad87-d100411d7a21",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Looking at the LangSmith trace we can see that before the messages are passed to the model they are first trimmed: https://smith.langchain.com/public/65af12c4-c24d-4824-90f0-6547566e59bb/r\n",
|
||||
"Looking at [the LangSmith trace](https://smith.langchain.com/public/65af12c4-c24d-4824-90f0-6547566e59bb/r) we can see that before the messages are passed to the model they are first trimmed.\n",
|
||||
"\n",
|
||||
"Looking at just the trimmer, we can see that it's a Runnable object that can be invoked like all Runnables:"
|
||||
]
|
||||
@@ -620,7 +620,7 @@
|
||||
"id": "556b7b4c-43cb-41de-94fc-1a41f4ec4d2e",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Looking at the LangSmith trace we can see that we retrieve all of our messages but before the messages are passed to the model they are trimmed to be just the system message and last human message: https://smith.langchain.com/public/17dd700b-9994-44ca-930c-116e00997315/r"
|
||||
"Looking at [the LangSmith trace](https://smith.langchain.com/public/17dd700b-9994-44ca-930c-116e00997315/r) we can see that we retrieve all of our messages but before the messages are passed to the model they are trimmed to be just the system message and last human message."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -630,7 +630,7 @@
|
||||
"source": [
|
||||
"## API reference\n",
|
||||
"\n",
|
||||
"For a complete description of all arguments head to the API reference: https://python.langchain.com/api_reference/core/messages/langchain_core.messages.utils.trim_messages.html"
|
||||
"For a complete description of all arguments head to the [API reference](https://python.langchain.com/api_reference/core/messages/langchain_core.messages.utils.trim_messages.html)."
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
334
docs/docs/integrations/document_loaders/oxylabs.ipynb
Normal file
334
docs/docs/integrations/document_loaders/oxylabs.ipynb
Normal file
@@ -0,0 +1,334 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Oxylabs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"[Oxylabs](https://oxylabs.io/) is a web intelligence collection platform that enables companies worldwide to unlock data-driven insights.\n",
|
||||
"\n",
|
||||
"## Overview\n",
|
||||
"\n",
|
||||
"Oxylabs document loader allows to load data from search engines, e-commerce sites, travel platforms, and any other website. It supports geolocation, browser rendering, data parsing, multiple user agents and many more parameters. Check out [Oxylabs documentation](https://developers.oxylabs.io/scraping-solutions/web-scraper-api) for more information.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | Pricing |\n",
|
||||
"|:--------------|:------------------------------------------------------------------|:-----:|:------------:|:-----------------------------:|\n",
|
||||
"| OxylabsLoader | [langchain-oxylabs](https://github.com/oxylabs/langchain-oxylabs) | ✅ | ❌ | Free 5,000 results for 1 week |\n",
|
||||
"\n",
|
||||
"### Loader features\n",
|
||||
"| Document Lazy Loading |\n",
|
||||
"|:---------------------:|\n",
|
||||
"| ✅ |\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Setup"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Install the required dependencies.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -U langchain-oxylabs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Credentials\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Set up the proper API keys and environment variables.\n",
|
||||
"Create your API user credentials: Sign up for a free trial or purchase the product\n",
|
||||
"in the [Oxylabs dashboard](https://dashboard.oxylabs.io/en/registration)\n",
|
||||
"to create your API user credentials (OXYLABS_USERNAME and OXYLABS_PASSWORD)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import getpass\n",
|
||||
"import os\n",
|
||||
"\n",
|
||||
"os.environ[\"OXYLABS_USERNAME\"] = getpass.getpass(\"Enter your Oxylabs username: \")\n",
|
||||
"os.environ[\"OXYLABS_PASSWORD\"] = getpass.getpass(\"Enter your Oxylabs password: \")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Initialization"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-08-06T10:57:51.630011Z",
|
||||
"start_time": "2025-08-06T10:57:51.623814Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain_oxylabs import OxylabsLoader"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-08-06T10:57:53.685413Z",
|
||||
"start_time": "2025-08-06T10:57:53.628859Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"loader = OxylabsLoader(\n",
|
||||
" urls=[\n",
|
||||
" \"https://sandbox.oxylabs.io/products/1\",\n",
|
||||
" \"https://sandbox.oxylabs.io/products/2\",\n",
|
||||
" ],\n",
|
||||
" params={\"markdown\": True},\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": "## Load"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-08-06T10:59:51.487327Z",
|
||||
"start_time": "2025-08-06T10:59:48.592743Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2751\n",
|
||||
"[](/)\n",
|
||||
"\n",
|
||||
"Game platforms:\n",
|
||||
"\n",
|
||||
"* **All**\n",
|
||||
"\n",
|
||||
"* [Nintendo platform](/products/category/nintendo)\n",
|
||||
"\n",
|
||||
"+ wii\n",
|
||||
"+ wii-u\n",
|
||||
"+ nintendo-64\n",
|
||||
"+ switch\n",
|
||||
"+ gamecube\n",
|
||||
"+ game-boy-advance\n",
|
||||
"+ 3ds\n",
|
||||
"+ ds\n",
|
||||
"\n",
|
||||
"* [Xbox platform](/products/category/xbox-platform)\n",
|
||||
"\n",
|
||||
"* **Dreamcast**\n",
|
||||
"\n",
|
||||
"* [Playstation platform](/products/category/playstation-platform)\n",
|
||||
"\n",
|
||||
"* **Pc**\n",
|
||||
"\n",
|
||||
"* **Stadia**\n",
|
||||
"\n",
|
||||
"Go Back\n",
|
||||
"\n",
|
||||
"Note!This is a sandbox website used for web scraping. Information listed in this website does not have any real meaning and should not be associated with the actual products.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"## The Legend of Zelda: Ocarina of Time\n",
|
||||
"\n",
|
||||
"**Developer:** Nintendo**Platform:****Type:** singleplayer\n",
|
||||
"\n",
|
||||
"As a young boy, Link is tricked by Ganondorf, the King of the Gerudo Thieves. The evil human uses Link to g\n",
|
||||
"5542\n",
|
||||
"[](/)\n",
|
||||
"\n",
|
||||
"Game platforms:\n",
|
||||
"\n",
|
||||
"* **All**\n",
|
||||
"\n",
|
||||
"* [Nintendo platform](/products/category/nintendo)\n",
|
||||
"\n",
|
||||
"+ wii\n",
|
||||
"+ wii-u\n",
|
||||
"+ nintendo-64\n",
|
||||
"+ switch\n",
|
||||
"+ gamecube\n",
|
||||
"+ game-boy-advance\n",
|
||||
"+ 3ds\n",
|
||||
"+ ds\n",
|
||||
"\n",
|
||||
"* [Xbox platform](/products/category/xbox-platform)\n",
|
||||
"\n",
|
||||
"* **Dreamcast**\n",
|
||||
"\n",
|
||||
"* [Playstation platform](/products/category/playstation-platform)\n",
|
||||
"\n",
|
||||
"* **Pc**\n",
|
||||
"\n",
|
||||
"* **Stadia**\n",
|
||||
"\n",
|
||||
"Go Back\n",
|
||||
"\n",
|
||||
"Note!This is a sandbox website used for web scraping. Information listed in this website does not have any real meaning and should not be associated with the actual products.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"## Super Mario Galaxy\n",
|
||||
"\n",
|
||||
"**Developer:** Nintendo**Platform:****Type:** singleplayer\n",
|
||||
"\n",
|
||||
"[Metacritic's 2007 Wii Game of the Year] The ultimate Nintendo hero is taking the ultimate step ... out into space. Join Mario as he ushers in a new era of video games, de\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"for document in loader.load():\n",
|
||||
" print(document.page_content[:1000])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "markdown",
|
||||
"source": "## Lazy Load"
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "code",
|
||||
"outputs": [],
|
||||
"execution_count": null,
|
||||
"source": [
|
||||
"for document in loader.lazy_load():\n",
|
||||
" print(document.page_content[:1000])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Advanced examples\n",
|
||||
"\n",
|
||||
"The following examples show the usage of `OxylabsLoader` with geolocation, currency, pagination and user agent parameters for Amazon Search and Google Search sources."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-08-06T11:04:19.901122Z",
|
||||
"start_time": "2025-08-06T11:04:19.838933Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"loader = OxylabsLoader(\n",
|
||||
" queries=[\"gaming headset\", \"gaming chair\", \"computer mouse\"],\n",
|
||||
" params={\n",
|
||||
" \"source\": \"amazon_search\",\n",
|
||||
" \"parse\": True,\n",
|
||||
" \"geo_location\": \"DE\",\n",
|
||||
" \"currency\": \"EUR\",\n",
|
||||
" \"pages\": 3,\n",
|
||||
" },\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-08-06T11:07:17.648142Z",
|
||||
"start_time": "2025-08-06T11:07:17.595629Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"loader = OxylabsLoader(\n",
|
||||
" queries=[\"europe gdp per capita\", \"us gdp per capita\"],\n",
|
||||
" params={\n",
|
||||
" \"source\": \"google_search\",\n",
|
||||
" \"parse\": True,\n",
|
||||
" \"geo_location\": \"Paris, France\",\n",
|
||||
" \"user_agent_type\": \"mobile\",\n",
|
||||
" },\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## API reference\n",
|
||||
"\n",
|
||||
"[More information about this package.](https://github.com/oxylabs/langchain-oxylabs)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"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": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -73,8 +73,9 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "markdown",
|
||||
"id": "72461be913bfaf2b",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Instantiation\n",
|
||||
"\n",
|
||||
@@ -83,26 +84,26 @@
|
||||
"Instantiation\n",
|
||||
"The tool accepts various parameters during instantiation:\n",
|
||||
"\n",
|
||||
"- max_results (optional, int): Maximum number of search results to return. Default is 5.\n",
|
||||
"- topic (optional, str): Category of the search. Can be \"general\", \"news\", or \"finance\". Default is \"general\".\n",
|
||||
"- include_answer (optional, bool): Include an answer to original query in results. Default is False.\n",
|
||||
"- include_raw_content (optional, bool): Include cleaned and parsed HTML of each search result. Default is False.\n",
|
||||
"- include_images (optional, bool): Include a list of query related images in the response. Default is False.\n",
|
||||
"- include_image_descriptions (optional, bool): Include descriptive text for each image. Default is False.\n",
|
||||
"- search_depth (optional, str): Depth of the search, either \"basic\" or \"advanced\". Default is \"basic\".\n",
|
||||
"- time_range (optional, str): The time range back from the current date to filter results - \"day\", \"week\", \"month\", or \"year\". Default is None.\n",
|
||||
"- include_domains (optional, List[str]): List of domains to specifically include. Default is None.\n",
|
||||
"- exclude_domains (optional, List[str]): List of domains to specifically exclude. Default is None.\n",
|
||||
"- `max_results` (optional, int): Maximum number of search results to return. Default is 5.\n",
|
||||
"- `topic` (optional, str): Category of the search. Can be `'general'`, `'news'`, or `'finance'`. Default is `'general'`.\n",
|
||||
"- `include_answer` (optional, bool): Include an answer to original query in results. Default is False.\n",
|
||||
"- `include_raw_content` (optional, bool): Include cleaned and parsed HTML of each search result. Default is False.\n",
|
||||
"- `include_images` (optional, bool): Include a list of query related images in the response. Default is False.\n",
|
||||
"- `include_image_descriptions` (optional, bool): Include descriptive text for each image. Default is False.\n",
|
||||
"- `search_depth` (optional, str): Depth of the search, either `'basic'` or `'advanced'`. Default is `'basic'`.\n",
|
||||
"- `time_range` (optional, str): The time range back from the current date to filter results - `'day'`, `'week'`, `'month'`, or `'year'`. Default is None.\n",
|
||||
"- `include_domains` (optional, List[str]): List of domains to specifically include. Default is None.\n",
|
||||
"- `exclude_domains` (optional, List[str]): List of domains to specifically exclude. Default is None.\n",
|
||||
"\n",
|
||||
"For a comprehensive overview of the available parameters, refer to the [Tavily Search API documentation](https://docs.tavily.com/documentation/api-reference/endpoint/search)"
|
||||
],
|
||||
"id": "72461be913bfaf2b"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "code",
|
||||
"outputs": [],
|
||||
"execution_count": null,
|
||||
"id": "dc382e5426394836",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain_tavily import TavilySearch\n",
|
||||
"\n",
|
||||
@@ -118,12 +119,12 @@
|
||||
" # include_domains=None,\n",
|
||||
" # exclude_domains=None\n",
|
||||
")"
|
||||
],
|
||||
"id": "dc382e5426394836"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "markdown",
|
||||
"id": "f997d2733b63f655",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Invocation\n",
|
||||
"\n",
|
||||
@@ -134,18 +135,22 @@
|
||||
"- The following arguments can also be set during invocation : `include_images`, `search_depth` , `time_range`, `include_domains`, `exclude_domains`, `include_images`\n",
|
||||
"- For reliability and performance reasons, certain parameters that affect response size cannot be modified during invocation: `include_answer` and `include_raw_content`. These limitations prevent unexpected context window issues and ensure consistent results.\n",
|
||||
"\n",
|
||||
":::note\n",
|
||||
"\n",
|
||||
"NOTE: The optional arguments are available for agents to dynamically set, if you set an argument during instantiation and then invoke the tool with a different value, the tool will use the value you passed during invocation."
|
||||
],
|
||||
"id": "f997d2733b63f655"
|
||||
"The optional arguments are available for agents to dynamically set, if you set an argument during instantiation and then invoke the tool with a different value, the tool will use the value you passed during invocation.\n",
|
||||
"\n",
|
||||
":::"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"cell_type": "code",
|
||||
"outputs": [],
|
||||
"execution_count": null,
|
||||
"source": "tool.invoke({\"query\": \"What happened at the last wimbledon\"})",
|
||||
"id": "5e75399230ab9fc1"
|
||||
"id": "5e75399230ab9fc1",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"tool.invoke({\"query\": \"What happened at the last wimbledon\"})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
@@ -154,7 +159,7 @@
|
||||
"source": [
|
||||
"### [Invoke with ToolCall](/docs/concepts/tools)\n",
|
||||
"\n",
|
||||
"We can also invoke the tool with a model-generated ToolCall, in which case a ToolMessage will be returned:"
|
||||
"We can also invoke the tool with a model-generated `ToolCall`, in which case a `ToolMessage` will be returned:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -233,7 +238,7 @@
|
||||
"id": "1020a506-473b-4e6a-a563-7aaf92c4d183",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"We will need to install langgraph:"
|
||||
"We will need to install `langgraph`:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -256,21 +261,21 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"================================\u001B[1m Human Message \u001B[0m=================================\n",
|
||||
"================================\u001b[1m Human Message \u001b[0m=================================\n",
|
||||
"\n",
|
||||
"What nation hosted the Euro 2024? Include only wikipedia sources.\n",
|
||||
"==================================\u001B[1m Ai Message \u001B[0m==================================\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"Tool Calls:\n",
|
||||
" tavily_search (call_yxmR4K2uadsQ8LKoyi8JyoLD)\n",
|
||||
" Call ID: call_yxmR4K2uadsQ8LKoyi8JyoLD\n",
|
||||
" Args:\n",
|
||||
" query: Euro 2024 host nation\n",
|
||||
" include_domains: ['wikipedia.org']\n",
|
||||
"=================================\u001B[1m Tool Message \u001B[0m=================================\n",
|
||||
"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
|
||||
"Name: tavily_search\n",
|
||||
"\n",
|
||||
"{\"query\": \"Euro 2024 host nation\", \"follow_up_questions\": null, \"answer\": null, \"images\": [], \"results\": [{\"title\": \"UEFA Euro 2024 - Wikipedia\", \"url\": \"https://en.wikipedia.org/wiki/UEFA_Euro_2024\", \"content\": \"Tournament details Host country Germany Dates 14 June – 14 July Teams 24 Venue(s) 10 (in 10 host cities) Final positions Champions Spain (4th title) Runners-up England Tournament statistics Matches played 51 Goals scored 117 (2.29 per match) Attendance 2,681,288 (52,574 per match) Top scorer(s) Harry Kane Georges Mikautadze Jamal Musiala Cody Gakpo Ivan Schranz Dani Olmo (3 goals each) Best player(s) Rodri Best young player Lamine Yamal ← 2020 2028 → The 2024 UEFA European Football Championship, commonly referred to as UEFA Euro 2024 (stylised as UEFA EURO 2024) or simply Euro 2024, was the 17th UEFA European Championship, the quadrennial international football championship organised by UEFA for the European men's national teams of their member associations. Germany hosted the tournament, which took place from 14 June to 14 July 2024. The tournament involved 24 teams, with Georgia making their European Championship debut. [4] Host nation Germany were eliminated by Spain in the quarter-finals; Spain went on to win the tournament for a record fourth time after defeating England 2–1 in the final.\", \"score\": 0.9104262, \"raw_content\": null}, {\"title\": \"UEFA Euro 2024 - Simple English Wikipedia, the free encyclopedia\", \"url\": \"https://simple.wikipedia.org/wiki/UEFA_Euro_2024\", \"content\": \"The 2024 UEFA European Football Championship, also known as UEFA Euro 2024 or simply Euro 2024, was the 17th edition of the UEFA European Championship. Germany was hosting the tournament. ... The UEFA Executive Committee voted for the host in a secret ballot, with only a simple majority (more than half of the valid votes) required to determine\", \"score\": 0.81418616, \"raw_content\": null}, {\"title\": \"Championnat d'Europe de football 2024 — Wikipédia\", \"url\": \"https://fr.wikipedia.org/wiki/Championnat_d'Europe_de_football_2024\", \"content\": \"Le Championnat d'Europe de l'UEFA de football 2024 est la 17 e édition du Championnat d'Europe de football, communément abrégé en Euro 2024, compétition organisée par l'UEFA et rassemblant les meilleures équipes nationales masculines européennes. L'Allemagne est désignée pays organisateur de la compétition le 27 septembre 2018. C'est la troisième fois que des matches du Championnat\", \"score\": 0.8055255, \"raw_content\": null}, {\"title\": \"UEFA Euro 2024 bids - Wikipedia\", \"url\": \"https://en.wikipedia.org/wiki/UEFA_Euro_2024_bids\", \"content\": \"The bidding process of UEFA Euro 2024 ended on 27 September 2018 in Nyon, Switzerland, when Germany was announced to be the host. [1] Two bids came before the deadline, 3 March 2017, which were Germany and Turkey as single bids. ... Press agencies revealed on 24 October 2013, that the European football governing body UEFA would have decided on\", \"score\": 0.7882741, \"raw_content\": null}, {\"title\": \"2024 UEFA European Under-19 Championship - Wikipedia\", \"url\": \"https://en.wikipedia.org/wiki/2024_UEFA_European_Under-19_Championship\", \"content\": \"The 2024 UEFA European Under-19 Championship (also known as UEFA Under-19 Euro 2024) was the 21st edition of the UEFA European Under-19 Championship (71st edition if the Under-18 and Junior eras are included), the annual international youth football championship organised by UEFA for the men's under-19 national teams of Europe. Northern Ireland hosted the tournament from 15 to 28 July 2024.\", \"score\": 0.7783298, \"raw_content\": null}], \"response_time\": 1.67}\n",
|
||||
"==================================\u001B[1m Ai Message \u001B[0m==================================\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"The nation that hosted Euro 2024 was Germany. You can find more information on the [Wikipedia page for UEFA Euro 2024](https://en.wikipedia.org/wiki/UEFA_Euro_2024).\n"
|
||||
]
|
||||
@@ -304,8 +309,14 @@
|
||||
"source": [
|
||||
"## API reference\n",
|
||||
"\n",
|
||||
"For detailed documentation of all Tavily Search API features and configurations head to the API reference: https://docs.tavily.com/documentation/api-reference/endpoint/search"
|
||||
"For detailed documentation of all Tavily Search API features and configurations head to the [API reference](https://docs.tavily.com/documentation/api-reference/endpoint/search)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "589ff839",
|
||||
"metadata": {},
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
@@ -720,7 +720,7 @@
|
||||
" AIMessage(content='yes!', additional_kwargs={}, response_metadata={})]"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"execution_count": 109,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -771,8 +771,13 @@
|
||||
"\n",
|
||||
"\n",
|
||||
"def call_model(state: State):\n",
|
||||
" print(f\"Messages before trimming: {len(state['messages'])}\")\n",
|
||||
" # highlight-start\n",
|
||||
" trimmed_messages = trimmer.invoke(state[\"messages\"])\n",
|
||||
" print(f\"Messages after trimming: {len(trimmed_messages)}\")\n",
|
||||
" print(\"Remaining messages:\")\n",
|
||||
" for msg in trimmed_messages:\n",
|
||||
" print(f\" {type(msg).__name__}: {msg.content}\")\n",
|
||||
" prompt = prompt_template.invoke(\n",
|
||||
" {\"messages\": trimmed_messages, \"language\": state[\"language\"]}\n",
|
||||
" )\n",
|
||||
@@ -792,7 +797,7 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Now if we try asking the model our name, it won't know it since we trimmed that part of the chat history:"
|
||||
"Now if we try asking the model our name, it won't know it since we trimmed that part of the chat history. (By defining our trim stragegy as `'last'`, we are only keeping the most recent messages that fit within the `max_tokens`.)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -804,9 +809,20 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Messages before trimming: 12\n",
|
||||
"Messages after trimming: 8\n",
|
||||
"Remaining messages:\n",
|
||||
" SystemMessage: you're a good assistant\n",
|
||||
" HumanMessage: whats 2 + 2\n",
|
||||
" AIMessage: 4\n",
|
||||
" HumanMessage: thanks\n",
|
||||
" AIMessage: no problem!\n",
|
||||
" HumanMessage: having fun?\n",
|
||||
" AIMessage: yes!\n",
|
||||
" HumanMessage: What is my name?\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"I don't know your name. You haven't told me yet!\n"
|
||||
"I don't know your name. If you'd like to share it, feel free!\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -840,15 +856,27 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Messages before trimming: 12\n",
|
||||
"Messages after trimming: 8\n",
|
||||
"Remaining messages:\n",
|
||||
" SystemMessage: you're a good assistant\n",
|
||||
" HumanMessage: whats 2 + 2\n",
|
||||
" AIMessage: 4\n",
|
||||
" HumanMessage: thanks\n",
|
||||
" AIMessage: no problem!\n",
|
||||
" HumanMessage: having fun?\n",
|
||||
" AIMessage: yes!\n",
|
||||
" HumanMessage: What math problem was asked?\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"You asked what 2 + 2 equals.\n"
|
||||
"The math problem that was asked was \"what's 2 + 2.\"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"config = {\"configurable\": {\"thread_id\": \"abc678\"}}\n",
|
||||
"query = \"What math problem did I ask?\"\n",
|
||||
"\n",
|
||||
"query = \"What math problem was asked?\"\n",
|
||||
"language = \"English\"\n",
|
||||
"\n",
|
||||
"input_messages = messages + [HumanMessage(query)]\n",
|
||||
@@ -890,9 +918,9 @@
|
||||
"text": [
|
||||
"|Hi| Todd|!| Here|’s| a| joke| for| you|:\n",
|
||||
"\n",
|
||||
"|Why| don|’t| skeleton|s| fight| each| other|?\n",
|
||||
"|Why| don't| scientists| trust| atoms|?\n",
|
||||
"\n",
|
||||
"|Because| they| don|’t| have| the| guts|!||"
|
||||
"|Because| they| make| up| everything|!||"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -856,6 +856,13 @@ const FEATURE_TABLES = {
|
||||
source: "Web interaction and structured data extraction from any web page using an AgentQL query or a Natural Language prompt",
|
||||
api: "API",
|
||||
apiLink: "https://python.langchain.com/docs/integrations/document_loaders/agentql/"
|
||||
},
|
||||
{
|
||||
name: "Oxylabs",
|
||||
link: "oxylabs",
|
||||
source: "Web intelligence platform enabling the access to various data sources.",
|
||||
api: "API",
|
||||
apiLink: "https://github.com/oxylabs/langchain-oxylabs"
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@@ -358,7 +358,10 @@ class AIMessageChunk(AIMessage, BaseMessageChunk):
|
||||
|
||||
for chunk in self.tool_call_chunks:
|
||||
try:
|
||||
args_ = parse_partial_json(chunk["args"]) if chunk["args"] != "" else {} # type: ignore[arg-type]
|
||||
if chunk["args"] is not None and chunk["args"] != "":
|
||||
args_ = parse_partial_json(chunk["args"])
|
||||
else:
|
||||
args_ = {}
|
||||
if isinstance(args_, dict):
|
||||
tool_calls.append(
|
||||
create_tool_call(
|
||||
|
||||
@@ -455,9 +455,9 @@ def test_message_chunk_to_message() -> None:
|
||||
tool_calls=[
|
||||
create_tool_call(name="tool1", args={"a": 1}, id="1"),
|
||||
create_tool_call(name="tool2", args={}, id="2"),
|
||||
create_tool_call(name="tool3", args={}, id="3"),
|
||||
],
|
||||
invalid_tool_calls=[
|
||||
create_invalid_tool_call(name="tool3", args=None, id="3", error=None),
|
||||
create_invalid_tool_call(name="tool4", args="abc", id="4", error=None),
|
||||
],
|
||||
)
|
||||
|
||||
@@ -46,6 +46,7 @@ packages:
|
||||
- name: langchain-chroma
|
||||
path: libs/partners/chroma
|
||||
repo: langchain-ai/langchain
|
||||
js: '@langchain/community'
|
||||
downloads: 892000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-exa
|
||||
@@ -58,6 +59,7 @@ packages:
|
||||
- name: langchain-fireworks
|
||||
path: libs/partners/fireworks
|
||||
repo: langchain-ai/langchain
|
||||
js: '@langchain/community'
|
||||
downloads: 238000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-groq
|
||||
@@ -69,6 +71,7 @@ packages:
|
||||
- name: langchain-huggingface
|
||||
path: libs/partners/huggingface
|
||||
repo: langchain-ai/langchain
|
||||
js: '@langchain/community'
|
||||
downloads: 793000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-ibm
|
||||
@@ -144,6 +147,7 @@ packages:
|
||||
- name: langchain-together
|
||||
path: libs/together
|
||||
repo: langchain-ai/langchain-together
|
||||
js: '@langchain/community'
|
||||
downloads: 89000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-upstage
|
||||
@@ -167,6 +171,7 @@ packages:
|
||||
name_title: DataStax Astra DB
|
||||
path: libs/astradb
|
||||
repo: langchain-ai/langchain-datastax
|
||||
js: '@langchain/community'
|
||||
downloads: 117000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-google-genai
|
||||
@@ -205,6 +210,7 @@ packages:
|
||||
- name: langchain-elasticsearch
|
||||
path: libs/elasticsearch
|
||||
repo: langchain-ai/langchain-elastic
|
||||
js: '@langchain/community'
|
||||
downloads: 218000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-nvidia-ai-endpoints
|
||||
@@ -292,6 +298,7 @@ packages:
|
||||
- name: langchain-neo4j
|
||||
path: libs/neo4j
|
||||
repo: langchain-ai/langchain-neo4j
|
||||
js: '@langchain/community'
|
||||
downloads: 100000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-linkup
|
||||
@@ -350,6 +357,7 @@ packages:
|
||||
downloads: 31000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-lindorm-integration
|
||||
name_title: Lindorm
|
||||
path: .
|
||||
repo: AlwaysBluer/langchain-lindorm-integration
|
||||
provider_page: lindorm
|
||||
@@ -444,6 +452,7 @@ packages:
|
||||
downloads: 1000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-discord-shikenso
|
||||
name_title: Discord (Shikenso)
|
||||
path: .
|
||||
repo: Shikenso-Analytics/langchain-discord
|
||||
downloads: 138
|
||||
@@ -571,7 +580,7 @@ packages:
|
||||
downloads: 3000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-naver-community
|
||||
name_title: Naver (community-maintained)
|
||||
name_title: Naver
|
||||
path: .
|
||||
repo: e7217/langchain-naver-community
|
||||
provider_page: naver
|
||||
@@ -595,6 +604,7 @@ packages:
|
||||
- name: langchain-perplexity
|
||||
path: libs/partners/perplexity
|
||||
repo: langchain-ai/langchain
|
||||
js: '@langchain/community'
|
||||
downloads: 348000
|
||||
downloads_updated_at: '2025-08-10T21:38:36.795416+00:00'
|
||||
- name: langchain-runpod
|
||||
@@ -717,6 +727,7 @@ packages:
|
||||
path: .
|
||||
repo: anchorbrowser/langchain-anchorbrowser
|
||||
- name: toolbox-langchain
|
||||
name_title: MCP Toolbox
|
||||
repo: googleapis/mcp-toolbox-sdk-python
|
||||
path: packages/toolbox-langchain
|
||||
- name: langchain-scrapeless
|
||||
|
||||
@@ -444,9 +444,6 @@ class HTMLSectionSplitter:
|
||||
Returns:
|
||||
str: The transformed HTML content as a string.
|
||||
"""
|
||||
if self.xslt_path is None:
|
||||
return html_content
|
||||
|
||||
try:
|
||||
from lxml import etree
|
||||
except ImportError as e:
|
||||
|
||||
@@ -75,7 +75,7 @@ class RecursiveJsonSplitter:
|
||||
|
||||
def _json_split(
|
||||
self,
|
||||
data: dict[str, Any],
|
||||
data: Any,
|
||||
current_path: Optional[list[str]] = None,
|
||||
chunks: Optional[list[dict[str, Any]]] = None,
|
||||
) -> list[dict[str, Any]]:
|
||||
|
||||
@@ -52,13 +52,14 @@ test_integration = [
|
||||
langchain-core = { path = "../core", editable = true }
|
||||
|
||||
[tool.mypy]
|
||||
strict = "True"
|
||||
strict_bytes = "True"
|
||||
strict = true
|
||||
strict_bytes = true
|
||||
enable_error_code = "deprecated"
|
||||
warn_unreachable = true
|
||||
|
||||
[[tool.mypy.overrides]]
|
||||
module = ["konlpy", "nltk",]
|
||||
ignore_missing_imports = "True"
|
||||
ignore_missing_imports = true
|
||||
|
||||
[tool.ruff]
|
||||
target-version = "py39"
|
||||
|
||||
45
libs/text-splitters/uv.lock
generated
45
libs/text-splitters/uv.lock
generated
@@ -1141,7 +1141,7 @@ test = [
|
||||
test-integration = []
|
||||
typing = [
|
||||
{ name = "langchain-text-splitters", directory = "." },
|
||||
{ name = "mypy", specifier = ">=1.15,<1.16" },
|
||||
{ name = "mypy", specifier = ">=1.17.1,<1.18" },
|
||||
{ name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
|
||||
{ name = "types-requests", specifier = ">=2.28.11.5,<3.0.0.0" },
|
||||
]
|
||||
@@ -2159,9 +2159,9 @@ wheels = [
|
||||
name = "pip"
|
||||
version = "25.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/20/16/650289cd3f43d5a2fadfd98c68bd1e1e7f2550a1a5326768cddfbcedb2c5/pip-25.2.tar.gz", hash = "sha256:578283f006390f85bb6282dffb876454593d637f5d1be494b5202ce4877e71f2", size = 1840021, upload-time = "2025-07-30T21:50:15.401Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/20/16/650289cd3f43d5a2fadfd98c68bd1e1e7f2550a1a5326768cddfbcedb2c5/pip-25.2.tar.gz", hash = "sha256:578283f006390f85bb6282dffb876454593d637f5d1be494b5202ce4877e71f2", size = 1840021 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl", hash = "sha256:6d67a2b4e7f14d8b31b8b52648866fa717f45a1eb70e83002f4331d07e953717", size = 1752557, upload-time = "2025-07-30T21:50:13.323Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl", hash = "sha256:6d67a2b4e7f14d8b31b8b52648866fa717f45a1eb70e83002f4331d07e953717", size = 1752557 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2950,27 +2950,28 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.12.2"
|
||||
version = "0.12.9"
|
||||
source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239 }
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sdist = { url = "https://files.pythonhosted.org/packages/4a/45/2e403fa7007816b5fbb324cb4f8ed3c7402a927a0a0cb2b6279879a8bfdc/ruff-0.12.9.tar.gz", hash = "sha256:fbd94b2e3c623f659962934e52c2bea6fc6da11f667a427a368adaf3af2c866a", size = 5254702 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761 },
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]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user