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https://github.com/Frooodle/Stirling-PDF.git
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# Description of Changes Redesign the Python AI engine to be properly agentic and make use of `pydantic-ai` instead of `langchain` for correctness and ergonomics. This should be a good foundation for us to build our AI engine on going forwards.
161 lines
5.0 KiB
Python
161 lines
5.0 KiB
Python
from __future__ import annotations
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import pytest
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from pydantic import ValidationError
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from stirling.agents import UserSpecAgent
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from stirling.config import AppSettings
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from stirling.contracts import (
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AgentDraft,
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AgentDraftRequest,
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AgentRevisionRequest,
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ConversationMessage,
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EditClarificationRequest,
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EditPlanResponse,
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ToolOperationStep,
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)
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from stirling.models.tool_models import CompressParams, OperationId, RotateParams
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from stirling.services import build_runtime
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def build_test_settings() -> AppSettings:
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return AppSettings(
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smart_model_name="test",
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fast_model_name="test",
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smart_model_max_tokens=8192,
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fast_model_max_tokens=2048,
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)
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class StubUserSpecAgent(UserSpecAgent):
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def __init__(self, draft_result: AgentDraft, revision_result: AgentDraft) -> None:
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super().__init__(build_runtime(build_test_settings()))
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self.draft_result = draft_result
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self.revision_result = revision_result
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self.edit_plan = EditPlanResponse(
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summary="Rotate the document.",
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steps=[
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ToolOperationStep(
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tool=OperationId.ROTATE,
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parameters=RotateParams(angle=90),
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)
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],
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)
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async def _build_edit_plan(self, user_message: str) -> EditPlanResponse:
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return self.edit_plan
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async def _run_draft_agent(self, request: AgentDraftRequest, edit_plan: EditPlanResponse) -> AgentDraft:
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return self.draft_result
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async def _run_revision_agent(self, request: AgentRevisionRequest, edit_plan: EditPlanResponse) -> AgentDraft:
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return self.revision_result
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class ClarifyingUserSpecAgent(UserSpecAgent):
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def __init__(self) -> None:
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super().__init__(build_runtime(build_test_settings()))
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async def _build_edit_plan(self, user_message: str) -> EditClarificationRequest:
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return EditClarificationRequest(
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question="Which pages should be changed?",
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reason="The request does not specify the target pages.",
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)
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@pytest.mark.anyio
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async def test_user_spec_agent_drafts_agent_spec() -> None:
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agent = StubUserSpecAgent(
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AgentDraft(
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name="Invoice Cleanup",
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description="Prepare invoices for review.",
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objective="Normalize invoices before accounting review.",
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steps=[
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ToolOperationStep(
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tool=OperationId.ROTATE,
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parameters=RotateParams(angle=90),
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)
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],
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),
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revision_result=AgentDraft(
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name="Unused",
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description="Unused",
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objective="Unused",
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steps=[],
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),
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)
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response = await agent.draft(
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AgentDraftRequest(
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user_message="Build me an invoice cleanup agent.",
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conversation_history=[
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ConversationMessage(role="user", content="It should handle scanned PDFs."),
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],
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)
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)
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assert response.outcome == "draft"
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assert response.draft.name == "Invoice Cleanup"
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assert response.draft.steps[0].kind == "tool"
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@pytest.mark.anyio
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async def test_user_spec_agent_revises_existing_draft() -> None:
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current_draft = AgentDraft(
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name="Invoice Cleanup",
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description="Prepare invoices for review.",
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objective="Normalize invoices before accounting review.",
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steps=[
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ToolOperationStep(
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tool=OperationId.ROTATE,
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parameters=RotateParams(angle=90),
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)
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],
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)
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agent = StubUserSpecAgent(
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draft_result=current_draft,
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revision_result=AgentDraft(
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name="Invoice Cleanup",
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description="Prepare invoices for review and reduce file size.",
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objective="Normalize invoices before accounting review.",
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steps=[
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ToolOperationStep(
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tool=OperationId.ROTATE,
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parameters=RotateParams(angle=90),
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),
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ToolOperationStep(
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tool=OperationId.COMPRESS,
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parameters=CompressParams(compression_level=5),
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),
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],
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),
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)
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response = await agent.revise(
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AgentRevisionRequest(
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user_message="Also compress the files before upload.",
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current_draft=current_draft,
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)
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)
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assert response.outcome == "draft"
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assert len(response.draft.steps) == 2
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assert response.draft.steps[1].kind == "tool"
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def test_tool_operation_step_rejects_mismatched_parameters() -> None:
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with pytest.raises(ValidationError):
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ToolOperationStep(
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tool=OperationId.ROTATE,
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parameters=CompressParams(compression_level=5),
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)
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@pytest.mark.anyio
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async def test_user_spec_agent_propagates_edit_clarification() -> None:
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agent = ClarifyingUserSpecAgent()
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response = await agent.draft(AgentDraftRequest(user_message="Build an agent to rotate some pages."))
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assert isinstance(response, EditClarificationRequest)
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