| Name | langchain-anthropic JSON |
| Version |
0.3.19
JSON |
| download |
| home_page | None |
| Summary | An integration package connecting Anthropic and LangChain |
| upload_time | 2025-08-18 18:33:36 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
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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 [in the Anthropic docs](https://docs.anthropic.com/claude/docs/models-overview#model-recommendations).
To use, you should have an Anthropic API key configured. Initialize the model as:
```python
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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"description": "# langchain-anthropic\n\nThis package contains the LangChain integration for Anthropic's generative models.\n\n## Installation\n\n`pip install -U langchain-anthropic`\n\n## Chat Models\n\nAnthropic recommends using their chat models over text completions.\n\nYou can see their recommended models [in the Anthropic docs](https://docs.anthropic.com/claude/docs/models-overview#model-recommendations).\n\nTo use, you should have an Anthropic API key configured. Initialize the model as:\n\n```python\nfrom langchain_anthropic import ChatAnthropic\nfrom langchain_core.messages import AIMessage, HumanMessage\n\nmodel = ChatAnthropic(model=\"claude-3-opus-20240229\", temperature=0, max_tokens=1024)\n```\n\n### Define the input message\n\n`message = HumanMessage(content=\"What is the capital of France?\")`\n\n### Generate a response using the model\n\n`response = model.invoke([message])`\n\nFor a more detailed walkthrough see [here](https://python.langchain.com/docs/integrations/chat/anthropic).\n\n## LLMs (Legacy)\n\nYou can use the Claude 2 models for text completions.\n\n```python\nfrom langchain_anthropic import AnthropicLLM\n\nmodel = AnthropicLLM(model=\"claude-2.1\", temperature=0, max_tokens=1024)\nresponse = model.invoke(\"The best restaurant in San Francisco is: \")\n```\n",
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