| Name | langchain-anthropic JSON |
| Version |
0.3.7
JSON |
| download |
| home_page | None |
| Summary | An integration package connecting AnthropicMessages and LangChain |
| upload_time | 2025-02-06 22:12:55 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
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No requirements were recorded.
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# langchain-anthropic
This package contains the LangChain integration for Anthropic's generative models.
## Installation
`pip install -U langchain-anthropic`
## Chat Models
Anthropic recommends using their chat models over text completions.
You can see their recommended models [here](https://docs.anthropic.com/claude/docs/models-overview#model-recommendations).
To use, you should have an Anthropic API key configured. Initialize the model as:
```
from langchain_anthropic import ChatAnthropic
from langchain_core.messages import AIMessage, HumanMessage
model = ChatAnthropic(model="claude-3-opus-20240229", temperature=0, max_tokens=1024)
```
### Define the input message
`message = HumanMessage(content="What is the capital of France?")`
### Generate a response using the model
`response = model.invoke([message])`
For a more detailed walkthrough see [here](https://python.langchain.com/docs/integrations/chat/anthropic).
## LLMs (Legacy)
You can use the Claude 2 models for text completions.
```python
from langchain_anthropic import AnthropicLLM
model = AnthropicLLM(model="claude-2.1", temperature=0, max_tokens=1024)
response = model.invoke("The best restaurant in San Francisco is: ")
```
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