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

Metadata

Release files for langchain-anthropic 1.7.6

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 1.7.6
File	Size	Uploaded
langchain_anthropic-1.7.6.tar.gz	765.2 kB	Oct 12, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-anthropic 1.7.6
File	Interpreter	ABI	Platform	Reset
langchain_anthropic-1.7.6-py3-none-any.whl 65.5 kB Oct 12, 2026	Python 3	none	any	Details

Total release size: 830.7 kB

Release files / langchain_anthropic-1.7.6.tar.gz

Download URL	langchain_anthropic-1.7.6.tar.gz
Size	765.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`e5b41959a39810e69bc608fd6622b7d5d017bde93f858b09332fbb6ac764c393`
BLAKE2b-256 checksum How to use checksums	`3c45b369666909be4a6f58877b18e692655ee792e06047c6c572d1218e09a31c`
Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / langchain_anthropic-1.7.6-py3-none-any.whl

Download URL	langchain_anthropic-1.7.6-py3-none-any.whl
Size	65.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`06bee97006d99e9a04abc4bd56599fc356c0c7f7f2a97629645cb603d9785c73`
BLAKE2b-256 checksum How to use checksums	`97d6da1ba42b7c26cd511c9be5473dbb178c51b07a337e94f09188d45f0306a2`
Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`