a0254b0b74
## Summary This replaces the default model provider with a `MultiProvider`, which has the logic: - if the model name starts with `openai/` or doesn't contain "/", use OpenAI - if the model name starts with `litellm/`, use LiteLLM to use the appropriate model provider. It's also extensible, so users can create their own mappings. I also imagine that if we natively supported Anthropic/Gemini etc, we can add it to MultiProvider to make it work. The goal is that it should be really easy to use any model provider. Today if you pass `model="gpt-4.1"`, it works great. But `model="claude-sonnet-3.7"` doesn't. If we can make it that easy, it's a win for devx. I'm not entirely sure if this is a good idea - is it too magical? Is the API too reliant on litellm? Comments welcome. ## Test plan For now, the example. Will add unit tests if we agree its worth mergin. --------- Co-authored-by: Steven Heidel <steven@heidel.ca> |
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| .. | ||
| agent_patterns | ||
| basic | ||
| customer_service | ||
| financial_research_agent | ||
| handoffs | ||
| mcp | ||
| model_providers | ||
| research_bot | ||
| tools | ||
| voice | ||
| __init__.py | ||