llm-catalog-pydantic-ai
Pydantic AI adapter for llm-catalog.
It turns a role in your catalog config (llm-catalog.json, shared verbatim with ai-sdk-catalog) into a native Pydantic AI Model — a gateway model is routed through your gateway via the core GatewayTransport, a direct model calls the vendor's own endpoint (anthropic / openai / openai-compatible / google).
import json
from pathlib import Path
from pydantic_ai import Agent
from llm_catalog.pydantic_ai import PydanticAICatalog
config = json.loads(Path("llm-catalog.json").read_text(encoding="utf-8"))
cat = PydanticAICatalog(config) # validates the config itself
agent = Agent(cat.model_for_role("fast"))
Installing this package does not pull in litellm.
The distributions are deliberately split so a Pydantic AI user's lockfile never references it.
See the repository README for the full picture and the verification notes (§9), including the google-genai / custom-httpx-client caveat.
import namespace: llm_catalog.pydantic_ai
1 maintainer
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