langchain-anthropic

Looking for the JS/TS version? Check out LangChain.js.

Quick Install

uv add langchain-anthropic

🤔 What is this?

This package contains the LangChain integration for Anthropic's generative models.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Migrating to Claude Sonnet 5.5

from langchain_anthropic import ChatAnthropic

model = ChatAnthropic(
    model="claude-sonnet-5-5",
    max_tokens=16000,
    output_config={"effort": "medium"},
)

Use with_structured_output(schema, method="json_schema") for native structured output. Sonnet 5.5 rejects forced tool choice ("any" or a tool name). Function-calling structured output does not force a call and raises a parsing error if the model answers without one.
Thinking is adaptive by default. For no up-front thinking, use thinking={"type": "between_tools"} at high effort or below, with no additional thinking fields. disabled and budgeted enabled thinking are unsupported.
Omit sampling settings; non-default temperature, top_p, and top_k are rejected. Budget output tokens for both thinking and text.
Preserve signed thinking blocks, including empty ones, and keep history append-only. Use mid-conversation system messages to change instructions or tools rather than editing earlier turns.
Progress updates can arrive as thinking blocks. Use adaptive thinking with display="summarized" or display="updates" to display them; the latter's beta header is added automatically.
Computer use on the direct Claude API requires computer_toolset_20260801. Preserve the returned tool-use content: its toolset_name is retained on replay and copied to matching tool results. Remove the old fine-grained streaming beta when using toolsets.

See the migration guide for platform-specific restrictions, advisor pairings, and refusal/fallback behavior.

Resources

LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
Code of Conduct — community guidelines and standards

Release files for langchain-anthropic 1.7.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for langchain-anthropic 1.7.5
File	Size	Uploaded
langchain_anthropic-1.7.5.tar.gz	764.6 kB	Sep 29, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-anthropic 1.7.5
File	Interpreter	ABI	Platform	Reset
langchain_anthropic-1.7.5-py3-none-any.whl 65.2 kB Sep 29, 2026	Python 3	none	any	Details

Total release size: 829.9 kB

Release files / langchain_anthropic-1.7.5.tar.gz

Download URL	langchain_anthropic-1.7.5.tar.gz
Size	764.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`6016f38e5c4bf12c16ecfa76abf133a978f459f4d2887b8e28435ae1ff00beb3`
BLAKE2b-256 checksum How to use checksums	`91e645ead93ef6d9f244b502a6a32bf9a185b3da1cc7fa8003896a102dadac09`
Upload date	Sep 29, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / langchain_anthropic-1.7.5-py3-none-any.whl

Download URL	langchain_anthropic-1.7.5-py3-none-any.whl
Size	65.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b21ef0e0c2d6175235a5b7eef4f5f89057df92d42dbfab66920a05605ef7173a`
BLAKE2b-256 checksum How to use checksums	`eba8c507f2c1859b584843983e98bc71e0066c16a77e6c181921c928e0fdbcf7`
Upload date	Sep 29, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`