For details on how to set up authentication with this model, see[model configuration for Anthropic](../../models.md#anthropic).

For details on how to set up authentication with this model, see[model configuration for Anthropic](../../models/anthropic.md).

::: pydantic_ai.models.anthropic

For details on how to set up authentication with this model, see[model configuration for Bedrock](../../models.md#bedrock).

For details on how to set up authentication with this model, see[model configuration for Bedrock](../../models/bedrock.md).

::: pydantic_ai.models.bedrock

For details on how to set up authentication with this model, see[model configuration for Cohere](../../models.md#cohere).

For details on how to set up authentication with this model, see[model configuration for Cohere](../../models/cohere.md).

::: pydantic_ai.models.cohere

For details on how to set up authentication with this model, see[model configuration for Gemini](../../models.md#gemini).

For details on how to set up authentication with this model, see[model configuration for Gemini](../../models/gemini.md).

::: pydantic_ai.models.gemini

For details on how to set up authentication with this model, see[model configuration for Groq](../../models.md#groq).

For details on how to set up authentication with this model, see[model configuration for Groq](../../models/groq.md).

::: pydantic_ai.models.groq

For details on how to set up authentication with this model, see[model configuration for Mistral](../../models.md#mistral).

For details on how to set up authentication with this model, see[model configuration for Mistral](../../models/mistral.md).

::: pydantic_ai.models.mistral

For details on how to set up authentication with this model, see[model configuration for OpenAI](../../models.md#openai).

For details on how to set up authentication with this model, see[model configuration for OpenAI](../../models/openai.md).

::: pydantic_ai.models.openai

These examples will need you to set up authentication with one or more of the LLMs, see the[model configuration](../models.md) docs for details on how to do this.

These examples will need you to set up authentication with one or more of the LLMs, see the[model configuration](../models/index.md) docs for details on how to do this.

TL;DR: in most cases you'll need to set one of the following environment variables:

Built by the team behind[Pydantic](https://docs.pydantic.dev/latest/) (the validation layer of the OpenAI SDK, the Anthropic SDK, LangChain, LlamaIndex, AutoGPT, Transformers, CrewAI, Instructor and many more).

*__Model-agnostic__:

Supports OpenAI, Anthropic, Gemini, Deepseek, Ollama, Groq, Cohere, and Mistral, and there is a simple interface to implement support for[other models](models.md).

Supports OpenAI, Anthropic, Gemini, Deepseek, Ollama, Groq, Cohere, and Mistral, and there is a simple interface to implement support for[other models](models/index.md).

*__Pydantic Logfire Integration__:

Seamlessly[integrates](logfire.md) with[Pydantic Logfire](https://pydantic.dev/logfire) for real-time debugging, performance monitoring, and behavior tracking of your LLM-powered applications.

*`duckduckgo` - installs`duckduckgo-search`[PyPI ↗](https://pypi.org/project/duckduckgo-search){:target="_blank"}

*`tavily` - installs`tavily-python`[PyPI ↗](https://pypi.org/project/tavily-python){:target="_blank"}

See the[models](models.md) documentation for information on which optional dependencies are required for each model.

See the[models](models/index.md) documentation for information on which optional dependencies are required for each model.

You can also install dependencies for multiple models and use cases, for example: