Commit Graph

14343 Commits

Author SHA1 Message Date
Mason Daugherty
3e0d7512ef core: update version.py langchain-core==1.0.0a3 2025-09-18 10:58:51 -04:00
Mason Daugherty
53ed770849 Merge branch 'master' into wip-v1.0 2025-09-18 10:57:53 -04:00
Mason Daugherty
e2050e24ef release(core): 1.0.0a3 2025-09-18 10:57:22 -04:00
Sadiq Khan
90280d1f58 docs(core): fix bugs and improve example code in chat_history.py (#32994)
## Summary

This PR fixes several bugs and improves the example code in
`BaseChatMessageHistory` docstring that would prevent it from working
correctly.

### Bugs Fixed
- **Critical bug**: Fixed `json.dump(messages, f)` →
`json.dump(serialized, f)` - was using wrong variable
- **NameError**: Fixed bare variable references to use
`self.storage_path` and `self.session_id`
- **Missing imports**: Added required imports (`json`, `os`, message
converters) to make example runnable

### Improvements
- Added missing type hints following project standards (`messages() ->
list[BaseMessage]`, `clear() -> None`)
- Added robust error handling with `FileNotFoundError` exception
handling
- Added directory creation with `os.makedirs(exist_ok=True)` to prevent
path errors
- Improved performance: `json.load(f)` instead of `json.loads(f.read())`
- Added explicit UTF-8 encoding to all file operations
- Updated stores.py to use modern union syntax (`int | None` vs
`Optional[int]`)

### Test Plan
- [x] Code passes linting (`ruff check`)
- [x] Example code now has all required imports and proper syntax
- [x] Fixed variable references prevent runtime errors
- [x] Follows project's type annotation standards

The example code in the docstring is now fully functional and follows
LangChain's coding standards.

---------

Co-authored-by: sadiqkhzn <sadiqkhzn@users.noreply.github.com>
2025-09-18 09:34:19 -04:00
Dushmanta
ee340e0a3b fix(docs): update dead link to docling github and docs (#33001)
- **Description:** Updated the dead/unreachable links to Docling from
the additional resources section of the langchain-docling docs
  - **Issue:** Fixes langchain-ai/docs/issues/574
  - **Dependencies:** None
2025-09-18 09:30:29 -04:00
Sydney Runkle
d5ba5d3511 feat(langchain): improved HITL patterns (#32996)
# Main changes / new features

## Better support for parallel tool calls

1. Support for multiple tool calls requiring human input
2. Support for combination of tool calls requiring human input + those
that are auto-approved
3. Support structured output w/ tool calls requiring human input
4. Support structured output w/ standard tool calls

## Shortcut for allowed actions

Adds a shortcut where tool config can be specified as a `bool`, meaning
"all actions allowed"

```py
HumanInTheLoopMiddleware(tool_configs={"expensive_tool": True})
```

## A few design decisions here
* We only raise one interrupt w/ all `HumanInterrupt`s, currently we
won't be able to execute all tools until all of these are resolved. This
isn't super blocking bc we can't re-invoke the model until all tools
have finished execution. That being said, if you have a long running
auto-approved tool, this could slow things down.

## TODOs

* Ideally, we would rename `accept` -> `approve`
* Ideally, we would rename `respond` -> `reject`
* Docs update (@sydney-runkle to own)
* In another PR I'd like to refactor testing to have one file for each
prebuilt middleware :)

Fast follow to https://github.com/langchain-ai/langchain/pull/32962
which was deemed as too breaking
2025-09-17 16:53:01 -04:00
Mason Daugherty
76d0758007 fix(docs): json_mode -> json_schema (#32993) 2025-09-17 18:21:34 +00:00
Mason Daugherty
8b3f74012c docs: update GenAI structured output section to include JSON mode details (#32992) 2025-09-17 17:40:34 +00:00
Mason Daugherty
59bb8bffd1 feat(core): make is_openai_data_block public and add filtering (#32991) 2025-09-17 11:41:41 -04:00
Mason Daugherty
16ec9bc535 fix(core): add back text to data content block check 2025-09-17 11:13:27 -04:00
Mason Daugherty
fda8a71e19 docs: further comments for clarity 2025-09-17 00:57:48 -04:00
Mason Daugherty
8f23bd109b fix: correct var name in comment 2025-09-17 00:39:01 -04:00
Mason Daugherty
ff632c1028 fix(standard-tests): add filename to PDF file block (#32989)
The standard PDF input test was creating file content blocks without a
filename field.

This caused a warning when the OpenAI block translator processed the
message for LangSmith tracing, since OpenAI requires filenames for file
inputs.
2025-09-17 00:35:49 -04:00
Mason Daugherty
3f71efc93c docs(core): update comments and docstrings 2025-09-17 00:35:30 -04:00
Mason Daugherty
cb3b5bf69b refactor(core): remove Pydantic v2 deprecation warning in tools base module
Replace deprecated `__fields__` attribute access with proper version-agnostic field retrieval using existing `get_fields`
2025-09-16 23:58:37 -04:00
Mason Daugherty
1c8a01ed03 cli: remove unnecessary changes & bump lock 2025-09-16 22:12:26 -04:00
Mason Daugherty
25333d3b45 Merge branch 'master' into wip-v1.0 2025-09-16 22:09:23 -04:00
Mason Daugherty
54a9556f5c chore(cli): update lock (#32986) 2025-09-17 02:08:20 +00:00
Mason Daugherty
42830208f3 Merge branch 'master' into wip-v1.0 2025-09-16 22:04:42 -04:00
Mason Daugherty
66041a2778 refactor(cli): target ruff 310 (#32985)
Use union types for optional parameters
2025-09-16 22:04:28 -04:00
Mason Daugherty
ab1b822523 chore: update PR title lint (#32983) 2025-09-16 22:04:19 -04:00
Chase Lean
543d90e108 docs: add langchain-scraperapi (#31973)
Adds documentation for the integration langchain-scraperapi, which
contains 3 tools using the ScraperAPI service.

The tools give AI agents the ability to

Scrape the web and return HTML/text/markdown
Perform Google search and return json output
Perform Amazon search and return json output

For reference, here is the official repo for langchain_scraperapi:
https://github.com/scraperapi/langchain-scraperapi
2025-09-16 21:46:20 -04:00
Adam Deedman
f8640630d8 docs: fix memory for agents (#32979)
Replaced `input_message` parameter with a directly called tuple, e.g.
`{"messages": [("user", "What is my name?")]}`

Before, the memory function wasn't working with the agent, using the
format of the input_message parameter.

Specifically, on page [Build an
Agent#adding-in-memory](https://python.langchain.com/docs/tutorials/agents/#adding-in-memory)

In the previous code, the query "What's my name?" wasn't working, as the
agent could not recall memory correctly.

<img width="860" height="679" alt="image"
src="https://github.com/user-attachments/assets/dfbca21e-ffe9-4645-a810-3be7a46d81d5"
/>
2025-09-16 15:46:15 -04:00
ccurme
653dc77c7e release(standard-tests): 1.0.0a1 (#32978) langchain-tests==1.0.0a1 2025-09-16 13:32:53 -04:00
Mason Daugherty
f9605c7438 chore(infra): update contribution guide link in CONTRIBUTING.md (#32976) 2025-09-16 15:15:53 +00:00
Mason Daugherty
ebd6f7d8a3 chore(infra): update security guidelines formatting (#32975) 2025-09-16 15:12:10 +00:00
Chester Curme
f6ab75ba8b Merge branch 'master' into wip-v1.0
# Conflicts:
#	libs/langchain/pyproject.toml
#	libs/langchain/uv.lock
2025-09-16 10:46:43 -04:00
ccurme
e63c1d7171 chore(langchain): drop cap on python version (#32974) 2025-09-16 10:44:21 -04:00
Mason Daugherty
b6af0d228c residual lint 2025-09-16 10:31:42 -04:00
Mason Daugherty
5800721fd4 fix lint 2025-09-16 10:28:23 -04:00
Chester Curme
ebfb938a68 Merge branch 'master' into wip-v1.0 2025-09-16 10:20:24 -04:00
ccurme
1a3e9e06ee chore(langchain): (v1) drop 3.9 support (#32970)
Will need to add back optional deps when we have releases of them that
are compatible with langchain-core 1.0 alphas.
2025-09-16 10:14:23 -04:00
Mason Daugherty
8180020b93 chore: restore commented out optional deps (#32971)
langchain & langchain_v1
2025-09-16 10:10:49 -04:00
Username46786
435194acf6 docs: add cross-links between summarization how-to pages (#32968)
This PR improves navigation in the summarization how-to section by
adding
cross-links from the single-call guide to the related map-reduce and
refine
guides. This mirrors the docs style guide’s emphasis on clear
cross-references
and should help readers discover the appropriate pattern for longer
texts.

- Source edited: docs/docs/how_to/summarize_stuff.ipynb
- Links added:
  - /docs/how_to/summarize_map_reduce/
  - /docs/how_to/summarize_refine/

Type: docs-only (no code changes)
2025-09-16 09:59:03 -04:00
Mason Daugherty
c7ebbe5c8a Merge branch 'master' into wip-v1.0 2025-09-15 19:26:36 -04:00
Mason Daugherty
244c699551 refactor(cli): drop Python 3.9 (#32964) 2025-09-15 19:22:53 -04:00
Mason Daugherty
369858de19 chore(infra): fix codspeed (#32963)
Related to #32950

CodSpeed v4 runs pytest inside its own runner process, which does not
automatically inherit environment variables from the job
2025-09-15 21:52:46 +00:00
Mason Daugherty
76dfb7fbe8 fix(cli): lint 2025-09-15 17:32:11 -04:00
Mason Daugherty
f25133c523 fix: version equality 2025-09-15 17:31:16 -04:00
Mason Daugherty
fc7a07d6f1 . 2025-09-15 17:27:20 -04:00
Mason Daugherty
e8ff6f4db6 Merge branch 'master' into wip-v1.0 2025-09-15 17:27:08 -04:00
Ali Ismail
4ebce80fbb docs(langchain): add docstring for _load_map_reduce_chain (#32961)
Description:
Add a docstring to _load_map_reduce_chain in chains/summarize/ to
explain the purpose of the prompt argument and document function
parameters. This addresses an existing TODO in the codebase.

Issue:
N/A (documentation improvement only)

Dependencies:
None
2025-09-15 17:19:20 -04:00
Mason Daugherty
8670b24c8e test(groq): xfail tool integration test (#32960)
Groq models have known issues with tool calling consistency,
[particularly with complex tools derived from
runnables](https://github.com/langchain-ai/langchain/discussions/19990).
[(more)](https://github.com/langchain-ai/langchain/discussions/24309)

xfail until we can dedicate time to wrangling their API/model handling
2025-09-15 14:23:22 -04:00
Ademílson Tonato
8d60ddba3a docs: update installation command for firecrawl-py package (#32958) 2025-09-15 14:10:08 -04:00
Mason Daugherty
9f6431924f feat(openai): add max_tokens to AzureChatOpenAI (#32959)
Fixes #32949

This pattern is [present in
`ChatOpenAI`](https://github.com/langchain-ai/langchain/blob/master/libs/partners/openai/langchain_openai/chat_models/base.py#L2821)
but wasn't carried over to Azure.


[CI](https://github.com/langchain-ai/langchain/actions/runs/17741751797/job/50417180998)
2025-09-15 14:09:20 -04:00
Ali Ismail
569a3d9602 docs(langchain): add docstring for _load_stuff_chain (#32932)
**Description:**  
Add a docstring to `_load_stuff_chain` in `chains/summarize/` to explain
the purpose of the `prompt` argument and document function parameters.
This addresses an existing TODO in the codebase.

**Issue:**  
N/A (documentation improvement only)

**Dependencies:**  
None
2025-09-15 10:02:50 -04:00
dependabot[bot]
8ef4df903f chore(infra): bump CodSpeedHQ/action from 3 to 4 (#32950)
Bumps [CodSpeedHQ/action](https://github.com/codspeedhq/action) from 3
to 4.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/codspeedhq/action/releases">CodSpeedHQ/action's
releases</a>.</em></p>
<blockquote>
<h2>v4.0.0</h2>
<h2>💥 BREAKING</h2>
<p>It's now required to explicitly set the runner mode to
<code>instrumentation</code> or <code>walltime</code> using either:</p>
<ul>
<li>the <code>mode</code> argument</li>
<li>or the <code>CODSPEED_RUNNER_MODE</code> environment variable</li>
</ul>
<blockquote>
<p>[!TIP]
Before, this variable was automatically set to
<code>instrumentation</code> on every runner except for <a
href="https://codspeed.io/docs/instruments/walltime">CodSpeed macro
runners</a> where it was set to <code>walltime</code> by default.</p>
</blockquote>
<p>Find more details in <a
href="https://codspeed.io/docs/instruments">the instruments
documentation</a>.</p>
<h2>Details</h2>
<h3><!-- raw HTML omitted -->🚀 Features</h3>
<ul>
<li>Make perf profiling enabled by default by <a
href="https://github.com/GuillaumeLagrange"><code>@​GuillaumeLagrange</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/110">#110</a></li>
<li>Make the runner mode argument required by <a
href="https://github.com/GuillaumeLagrange"><code>@​GuillaumeLagrange</code></a></li>
<li>Use introspected node in walltime mode by <a
href="https://github.com/GuillaumeLagrange"><code>@​GuillaumeLagrange</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/108">#108</a></li>
<li>Add instrumented go shell script by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/102">#102</a></li>
</ul>
<h3><!-- raw HTML omitted -->🐛 Bug Fixes</h3>
<ul>
<li>Compute proper load bias by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/107">#107</a></li>
<li>Increase timeout for first perf ping by <a
href="https://github.com/GuillaumeLagrange"><code>@​GuillaumeLagrange</code></a></li>
<li>Prevent running with valgrind by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/106">#106</a></li>
</ul>
<h3><!-- raw HTML omitted -->🏗️ Refactor</h3>
<ul>
<li>Change go-runner binary name by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/111">#111</a></li>
</ul>
<p><strong>Full Runner Changelog</strong>: <a
href="https://github.com/CodSpeedHQ/runner/blob/main/CHANGELOG.md">https://github.com/CodSpeedHQ/runner/blob/main/CHANGELOG.md</a></p>
<h2>v3.8.1</h2>
<h2>What's Changed</h2>
<h3><!-- raw HTML omitted -->🐛 Bug Fixes</h3>
<ul>
<li>Don't show error when libpython is not found by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a></li>
</ul>
<h3><!-- raw HTML omitted -->🏗️ Refactor</h3>
<ul>
<li>Improve conditional compilation in
<code>get_pipe_open_options</code> by <a
href="https://github.com/art049"><code>@​art049</code></a> in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/100">#100</a></li>
</ul>
<h3><!-- raw HTML omitted -->⚙️ Internals</h3>
<ul>
<li>Change log level to warn for venv_compat error by <a
href="https://github.com/not-matthias"><code>@​not-matthias</code></a>
in <a
href="https://redirect.github.com/CodSpeedHQ/runner/pull/104">#104</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/CodSpeedHQ/action/compare/v3.8.0...v3.8.1">https://github.com/CodSpeedHQ/action/compare/v3.8.0...v3.8.1</a>
<strong>Full Runner Changelog</strong>: <a
href="https://github.com/CodSpeedHQ/runner/blob/main/CHANGELOG.md">https://github.com/CodSpeedHQ/runner/blob/main/CHANGELOG.md</a></p>
<h2>v3.8.0</h2>
<h2>What's Changed</h2>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="653fdc30e6"><code>653fdc3</code></a>
Release v4.0.1 🚀</li>
<li><a
href="4da7be1bda"><code>4da7be1</code></a>
chore: bump runner version to 4.0.1</li>
<li><a
href="172d6c5630"><code>172d6c5</code></a>
chore: make the comment about input validation more discrete</li>
<li><a
href="d15e1ce813"><code>d15e1ce</code></a>
chore: improve the release script</li>
<li><a
href="6eeb021fd0"><code>6eeb021</code></a>
Release v4.0.0 🚀</li>
<li><a
href="74312dabbe"><code>74312da</code></a>
chore: improve the release script</li>
<li><a
href="8a17a350a8"><code>8a17a35</code></a>
ci: add modes to the matrix</li>
<li><a
href="8e3f02a649"><code>8e3f02a</code></a>
feat: make the mode argument required</li>
<li><a
href="97c7a6f5fc"><code>97c7a6f</code></a>
chore: bump runner version to 4.0.0</li>
<li><a
href="8a4cadd026"><code>8a4cadd</code></a>
chore: point the changelog to the runner</li>
<li>See full diff in <a
href="https://github.com/codspeedhq/action/compare/v3...v4">compare
view</a></li>
</ul>
</details>
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2025-09-15 13:56:46 +00:00
doubleinfinity
b944bbc766 docs: add ZeusDB vector store integration (#32822)
## Description

This PR adds documentation for the new ZeusDB vector store integration
with LangChain.

## Motivation

ZeusDB is a high-performance vector database (Python/Rust backend)
designed for AI applications that need fast similarity search and
real-time vector ops. This integration brings ZeusDB's capabilities to
the LangChain ecosystem, giving developers another production-oriented
option for vector storage and retrieval.

**Key Features:**
- **User-Friendly Python API**: Intuitive interface that integrates
seamlessly with Python ML workflows
- **High Performance**: Powered by a robust Rust backend for
lightning-fast vector operations
- **Enterprise Logging**: Comprehensive logging capabilities for
monitoring and debugging production systems
- **Advanced Features**: Includes product quantization and persistence
capabilities
- **AI-Optimized**: Purpose-built for modern AI applications and RAG
pipelines

## Changes

- Added provider documentation:
`docs/docs/integrations/providers/zeusdb.mdx` (installation, setup).

- Added vector store documentation:
`docs/docs/integrations/vectorstores/zeusdb.ipynb` (quickstart for
creating/querying a ZeusDBVectorStore).

- Registered langchain-zeusdb in `libs/packages.yml` for discovery.

## Target users

- AI/ML engineers building RAG pipelines

- Data scientists working with large document collections

- Developers needing high-throughput vector search

- Teams requiring near real-time vector operations

## Testing

- Followed LangChain's "How to add standard tests to an integration"
guidance.
- Code passes format, lint, and test checks locally.
- Tested with LangChain Core 0.3.74
- Works with Python 3.10 to 3.13

## Package Information
**PyPI:** https://pypi.org/project/langchain-zeusdb
**Github:** https://github.com/ZeusDB/langchain-zeusdb
2025-09-15 09:55:14 -04:00
Filip Makraduli
0be7515abc docs: add superlinked retriever integration (#32433)
# feat(superlinked): add superlinked retriever integration

**Description:** 
Add Superlinked as a custom retriever with full LangChain compatibility.
This integration enables users to leverage Superlinked's multi-modal
vector search capabilities including text similarity, categorical
similarity, recency, and numerical spaces with flexible weighting
strategies. The implementation provides a `SuperlinkedRetriever` class
that extends LangChain's `BaseRetriever` with comprehensive error
handling, parameter validation, and support for various vector databases
(in-memory, Qdrant, Redis, MongoDB).

**Key Features:**
- Full LangChain `BaseRetriever` compatibility with `k` parameter
support
- Multi-modal search spaces (text, categorical, numerical, recency)
- Flexible weighting strategies for complex search scenarios
- Vector database agnostic implementation
- Comprehensive validation and error handling
- Complete test coverage (unit tests, integration tests)
- Detailed documentation with 6 practical usage examples

**Issue:** N/A (new integration)

**Dependencies:** 
- `superlinked==33.5.1` (peer dependency, imported within functions)
- `pandas^2.2.0` (required by superlinked)

**Linkedin handle:** https://www.linkedin.com/in/filipmakraduli/

## Implementation Details

### Files Added/Modified:
- `libs/partners/superlinked/` - Complete package structure
- `libs/partners/superlinked/langchain_superlinked/retrievers.py` - Main
retriever implementation
- `libs/partners/superlinked/tests/unit_tests/test_retrievers.py` - unit
tests
- `libs/partners/superlinked/tests/integration_tests/test_retrievers.py`
- Integration tests with mocking
- `docs/docs/integrations/retrievers/superlinked.ipynb` - Documentation
a few usage examples

### Testing:
- `make format` - passing
- `make lint` - passing 
- `make test` - passing (16 unit tests, integration tests)
- Comprehensive test coverage including error handling, validation, and
edge cases

### Documentation:
- Example notebook with 6 practical scenarios:
  1. Simple text search
  2. Multi-space blog search (content + category + recency)
  3. E-commerce product search (price + brand + ratings)
  4. News article search (sentiment + topics + recency)
  5. LangChain RAG integration example
  6. Qdrant vector database integration

### Code Quality:
- Follows LangChain contribution guidelines
- Backwards compatible
- Optional dependencies imported within functions
- Comprehensive error handling and validation
- Type hints and docstrings throughout

---------

Co-authored-by: Mason Daugherty <mason@langchain.dev>
2025-09-15 13:54:04 +00:00
Sadiq Khan
cc9a97a477 docs(core): add type hints to BaseStore example code (#32946)
## Summary
- Add comprehensive type hints to the MyInMemoryStore example code in
BaseStore docstring
- Improve documentation quality and educational value for developers
- Align with LangChain's coding standards requiring type hints on all
Python code

## Changes Made
- Added return type annotations to all methods (__init__, mget, mset,
mdelete, yield_keys)
- Added parameter type annotations using proper generic types (Sequence,
Iterator)
- Added instance variable type annotation for the store attribute
- Used modern Python union syntax (str | None) for optional types

## Test Plan
- Verified Python syntax validity with ast.parse()
- No functional changes to actual code, only documentation improvements
- Example code now follows best practices and coding standards

This change improves the educational value of the example code and
ensures consistency with LangChain's requirement that "All Python code
MUST include type hints and return types" as specified in the
development guidelines.

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Co-authored-by: sadiqkhzn <sadiqkhzn@users.noreply.github.com>
Co-authored-by: Mason Daugherty <mason@langchain.dev>
2025-09-15 13:45:34 +00:00