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djangorestframework-pydantic-ai

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Expose djangorestframework-services services and selectors as a Pydantic-AI toolset, so a plain pydantic_ai.Agent can call them as tools — no MCP server and no AG-UI bridge in the path.

Every tool call routes through drf-services' transport-neutral surface (dispatch_spec plus its off-HTTP helpers), so a tool call runs the same input validation, the same permission_classes — both class-level has_permission and object-level has_object_permission on the resolved row — and the same serializer rendering your DRF views apply, just without the HTTP hop.

Install

pip install djangorestframework-pydantic-ai

It depends only on djangorestframework-services and pydantic-ai-slim. A model provider is pulled in separately, the usual Pydantic-AI way (e.g. pip install "pydantic-ai-slim[anthropic]").

Quickstart

from pydantic_ai import Agent
from rest_framework_pydantic_ai import AgentDeps, SpecToolset

toolset = SpecToolset(
    {
        "list_orders": orders_selector_spec,  # SelectorSpec -> read-only tool
        "create_order": create_order_spec,  # ServiceSpec  -> mutation tool
    }
)

agent = Agent("anthropic:claude-opus-4-8", deps_type=AgentDeps, toolsets=[toolset])

result = await agent.run(
    "create an order of 3 widgets",
    deps=AgentDeps(user=request.user),
)

The agent acts as deps.user: each call builds an off-HTTP request/view context, enforces the spec's permission_classes (class- and object-level), dispatches the spec, and renders the result through the spec's serializer. List selectors gain page / limit / order tool args, and return one page — {"items": [...], "page": 1, "totalPages": N, "hasNext": bool} — so a model reading a collection can tell whether it saw all of it.

Failures map onto the model loop so the agent self-corrects: invalid input, a bad page / limit / order value, and unexpected (hallucinated) arguments come back as ModelRetry; a business error or missing row becomes a readable {"error": ...}; a denied permission raises PermissionDenied, which aborts the run under a plain pydantic_ai.Agent. A host that installs a tool-failure policy — django-pydantic-agent's build_agent does by default — turns that denial into a failed-tool result instead, so the run continues; the call is still denied either way. Unexpected arguments are rejected by default — pass unknown_arguments= to SpecToolset (IGNORE / PASSTHROUGH) to change that.

See the documentation for the full reference.

License

MIT

Metadata

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