# Introduction

any-llm is a Python library providing a single interface to different LLM providers.

```python
from any_llm import completion

# Using the messages format
response = completion(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "What is Python?"}],
    provider="openai"
)
print(response)

# Switch providers without changing your code
response = completion(
    model="claude-sonnet-4-5-20250929",
    messages=[{"role": "user", "content": "What is Python?"}],
    provider="anthropic"
)
print(response)
```

[**Get Started**](/quickstart.md) | [**View on GitHub**](https://github.com/mozilla-ai/any-llm)

## Why any-llm

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Switch providers in one line</strong></td><td>Change from OpenAI to Anthropic, Mistral, or any other provider with a single parameter change.</td><td><a href="/pages/Fos7cgzeThpzxpVYOw3B">/pages/Fos7cgzeThpzxpVYOw3B</a></td></tr><tr><td><strong>Unified exception handling</strong></td><td>Consistent error handling across all providers with a unified exception hierarchy.</td><td><a href="/pages/LhDNPN3ZwzRC23rSJOaM">/pages/LhDNPN3ZwzRC23rSJOaM</a></td></tr><tr><td><strong>Simple API, powerful features</strong></td><td>Streaming, tool calling, embeddings, reasoning, and more, all through one interface.</td><td><a href="/pages/4OhzogOvufejtgkZ3wVo">/pages/4OhzogOvufejtgkZ3wVo</a></td></tr></tbody></table>

## API Documentation

`any-llm` provides two main interfaces:

**Direct API Functions** (recommended for simple use cases):

* [completion](/api-reference/completion.md) - Chat completions with any provider
* [embedding](/api-reference/embedding.md) - Text embeddings
* [moderation](https://github.com/mozilla-ai/any-llm/blob/gitbook-docs/api/moderation.md) - Content moderation
* [responses](/api-reference/responses.md) - [OpenResponses](https://www.openresponses.org/) API for agentic AI systems

**AnyLLM Class** (recommended for advanced use cases):

* [Provider API](/api-reference/any-llm.md) - Lower-level provider interface with metadata access and reusability

## For AI Systems

This documentation is available in an AI-friendly format via the unified Mozilla.ai llms.txt:

* [**llms.txt**](https://docs.mozilla.ai/llms.txt) - Structured overview of all Mozilla.ai documentation for AI systems
* [**llms-full.txt**](https://docs.mozilla.ai/llms-full.txt) - Complete Mozilla.ai documentation concatenated into a single file


---

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