> ## Documentation Index
> Fetch the complete documentation index at: https://ekacare-quickstart-cleanup.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# LLM Providers

> Configure OpenAI, Anthropic, and Gemini

## Provider Comparison

| Provider      | Models                           | Best For                         |
| ------------- | -------------------------------- | -------------------------------- |
| **OpenAI**    | gpt-4o, gpt-4o-mini, gpt-4-turbo | General purpose, cost-effective  |
| **Anthropic** | claude-sonnet-4, claude-3-opus   | Advanced reasoning, long context |
| **Gemini**    | gemini-1.5-pro, gemini-pro       | Multimodal, Google ecosystem     |

***

## Configuration

<Tabs>
  <Tab title="OpenAI">
    **Environment:**

    ```bash theme={null}
    export OPENAI_API_KEY=sk-...
    ```

    **Config:**

    ```python theme={null}
    from echo import LLMConfig, get_llm

    llm_config = LLMConfig(
        provider="openai",
        model="gpt-4o-mini",
        temperature=0.2,
        max_tokens=2000,
    )

    llm = get_llm(llm_config)
    ```

    **Models:** `gpt-4o`, `gpt-4o-mini`, `gpt-4-turbo`, `gpt-3.5-turbo`
  </Tab>

  <Tab title="Anthropic">
    **Environment:**

    ```bash theme={null}
    export ANTHROPIC_API_KEY=sk-ant-...
    ```

    **Config:**

    ```python theme={null}
    from echo import LLMConfig, get_llm

    llm_config = LLMConfig(
        provider="anthropic",
        model="claude-sonnet-4-20250514",
        temperature=0.2,
        max_tokens=2000,
    )

    llm = get_llm(llm_config)
    ```

    **Models:** `claude-sonnet-4-20250514`, `claude-3-opus-20240229`, `claude-3-haiku-20240307`
  </Tab>

  <Tab title="Gemini">
    **Environment:**

    ```bash theme={null}
    export GOOGLE_API_KEY=...
    ```

    **Config:**

    ```python theme={null}
    from echo import LLMConfig, get_llm

    llm_config = LLMConfig(
        provider="gemini",
        model="gemini-1.5-pro",
        temperature=0.2,
        max_tokens=2000,
    )

    llm = get_llm(llm_config)
    ```

    **Models:** `gemini-1.5-pro`, `gemini-pro`, `gemini-pro-vision`
  </Tab>
</Tabs>

***

## Switching Providers

Change one line to switch providers:

```python theme={null}
# OpenAI
llm_config = LLMConfig(provider="openai", model="gpt-4o-mini")

# Anthropic
llm_config = LLMConfig(provider="anthropic", model="claude-sonnet-4-20250514")

# Gemini
llm_config = LLMConfig(provider="gemini", model="gemini-1.5-pro")
```

Agent code remains the same.

***

## LLMConfig Parameters

| Parameter        | Type  | Default  | Description                           |
| ---------------- | ----- | -------- | ------------------------------------- |
| `provider`       | str   | Required | `"openai"`, `"anthropic"`, `"gemini"` |
| `model`          | str   | Required | Model identifier                      |
| `temperature`    | float | 0.7      | Randomness (0.0-1.0)                  |
| `max_tokens`     | int   | 4096     | Max response length                   |
| `max_iterations` | int   | 5        | Max tool use iterations               |

## Next Steps

<CardGroup cols={2}>
  <Card title="Streaming" icon="stream" href="/ai-tools/agent-kit/streaming">
    Real-time responses
  </Card>

  <Card title="Examples" icon="lightbulb" href="/ai-tools/agent-kit/examples">
    Complete examples
  </Card>
</CardGroup>