> ## Documentation Index
> Fetch the complete documentation index at: https://www.edenai.co/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# aisuite

> Use aisuite with Eden AI to call 500+ AI models through one unified, OpenAI-style interface.

export const TechArticleSchema = ({title, description, path, articleSection, about, proficiencyLevel = "Beginner", dependencies, keywords = [], datePublished, dateModified, image, inLanguage = "en"}) => {
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<TechArticleSchema title={"aisuite"} description={"Use aisuite with Eden AI to call 500+ AI models through one unified, OpenAI-style interface."} path="v3/integrations/aisuite" articleSection="AI Frameworks" about={"LLM Framework Integration"} proficiencyLevel="Intermediate" keywords={["Eden AI", "AI API", "aisuite", "Python", "Andrew Ng"]} datePublished="2026-07-17T00:00:00Z" dateModified="2026-07-17T00:00:00Z" />

Use aisuite with Eden AI to call 500+ AI models through one unified, OpenAI-style interface.

## Overview

[aisuite](https://github.com/andrewyng/aisuite) is a lightweight Python library (from Andrew Ng's team) that gives you a single, OpenAI-style Chat Completions interface across many providers — swap providers by changing one string. **Eden AI is a built-in aisuite provider**, so you reach models from OpenAI, Anthropic, Google, Mistral, Cohere, Meta and more behind one key, with EU-based, GDPR-aligned inference.

You select a model with the `provider:model_id` syntax. For Eden AI, the provider is `edenai` and the model id follows Eden AI's `provider/model` scheme — for example `edenai:anthropic/claude-sonnet-5`.

## Installation

Eden AI is OpenAI-compatible, so aisuite talks to it through the `openai` SDK — install both:

<CodeGroup>
  ```bash pip theme={null}
  pip install aisuite openai
  ```

  ```bash poetry theme={null}
  poetry add aisuite openai
  ```
</CodeGroup>

## Quick Start

Set your key, then point aisuite at Eden AI by prefixing any model with `edenai:`:

<CodeGroup>
  ```bash .env theme={null}
  EDENAI_API_KEY=your_api_key_here
  ```

  ```python Python theme={null}
  import aisuite as ai

  client = ai.Client()

  response = client.chat.completions.create(
      model="edenai:anthropic/claude-sonnet-5",  # edenai:<provider>/<model>
      messages=[
          {"role": "system", "content": "You are a helpful assistant."},
          {"role": "user", "content": "Hello! How are you?"},
      ],
  )

  print(response.choices[0].message.content)
  ```
</CodeGroup>

The `edenai` provider automatically uses the Eden AI base URL (`https://api.edenai.run/v3`) and reads your key from the `EDENAI_API_KEY` environment variable.

## Switching models

aisuite's core benefit: change providers by changing one string. Every Eden AI model is reachable the same way — no per-provider SDKs, no code changes:

<CodeGroup>
  ```python Python theme={null}
  import aisuite as ai

  client = ai.Client()
  messages = [{"role": "user", "content": "Write a haiku about the sea."}]

  for model in [
      "edenai:openai/gpt-5.5",
      "edenai:anthropic/claude-sonnet-5",
      "edenai:mistral/mistral-large-2512",
  ]:
      response = client.chat.completions.create(model=model, messages=messages)
      print(model, "->", response.choices[0].message.content)
  ```
</CodeGroup>

## Available Models

Use the `edenai:<provider>/<model>` format for any Eden AI model:

**OpenAI**

* `edenai:openai/gpt-5.5`
* `edenai:openai/gpt-5-mini`

**Anthropic**

* `edenai:anthropic/claude-sonnet-5`
* `edenai:anthropic/claude-opus-4-8`
* `edenai:anthropic/claude-haiku-4-5`

**Google**

* `edenai:google/gemini-2.5-pro`
* `edenai:google/gemini-3.5-flash`

**Mistral**

* `edenai:mistral/mistral-large-2512`
* `edenai:mistral/mistral-small-2603`

## Passing configuration explicitly

Prefer not to use environment variables? Pass the key through the aisuite client config instead:

<CodeGroup>
  ```python Python theme={null}
  import aisuite as ai

  client = ai.Client({"edenai": {"api_key": "YOUR_EDENAI_API_KEY"}})

  response = client.chat.completions.create(
      model="edenai:mistral/mistral-large-2512",
      messages=[{"role": "user", "content": "Say hello in French."}],
  )
  print(response.choices[0].message.content)
  ```
</CodeGroup>

## Environment Variables

<CodeGroup>
  ```bash .env theme={null}
  EDENAI_API_KEY=your_api_key_here
  ```
</CodeGroup>

## Next Steps

* [Chat Completions](/docs/v3/llms/chat-completions) - Core LLM endpoint
* [List LLM Models](/docs/v3/llms/listing-models) - Browse available providers and models
* [OpenAI SDK (Python)](/docs/v3/integrations/openai-sdk-python) - Direct SDK usage