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

# Fallback Models: Error-Specific

> Use FallbackConfig for error-specific fallback routing.

```python error_specific_fallbacks.py theme={null}
"""
Fallback Models — Error-Specific
==================================

Use FallbackConfig for error-specific fallback routing.

- on_error: tried on any error from the primary model.
- on_rate_limit: tried specifically on rate-limit (429) errors.
- on_context_overflow: tried on context-window-exceeded errors.

When a specific fallback list matches the error type, it takes
priority over the general on_error list.
"""

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.models.fallback import FallbackConfig
from agno.models.openai import OpenAIChat

# ---------------------------------------------------------------------------
# Create Agent with error-specific fallbacks
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    fallback_config=FallbackConfig(
        # On rate-limit errors, try these models (in order)
        on_rate_limit=[
            OpenAIChat(id="gpt-4o-mini"),
            Claude(id="claude-sonnet-4-20250514"),
        ],
        # On context-window-exceeded errors, try a model with a larger window
        on_context_overflow=[
            Claude(id="claude-sonnet-4-20250514"),
        ],
        # General fallback for all other errors
        on_error=[
            Claude(id="claude-sonnet-4-20250514"),
        ],
    ),
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("What is the meaning of life?", stream=True)
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno anthropic openai
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `error_specific_fallbacks.py`, then run:

    ```bash theme={null}
    python error_specific_fallbacks.py
    ```
  </Step>
</Steps>

Full source: [cookbook/02\_agents/17\_fallback\_models/02\_error\_specific\_fallbacks.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/17_fallback_models/02_error_specific_fallbacks.py)