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https://github.com/Frooodle/Stirling-PDF.git
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e10c5f6283
# 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.
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
from collections.abc import Iterator
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import pytest
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from stirling.config import AppSettings, load_settings
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from stirling.contracts import (
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AgentExecutionRequest,
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AgentSpec,
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AgentSpecStep,
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EditPlanResponse,
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ExecutionContext,
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OrchestratorRequest,
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PdfQuestionAnswerResponse,
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ToolOperationStep,
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)
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from stirling.models.tool_models import OperationId, RotateParams
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def test_orchestrator_request_accepts_user_message() -> None:
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request = OrchestratorRequest(user_message="Rotate the PDF")
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assert request.user_message == "Rotate the PDF"
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def test_agent_execution_request_uses_typed_agent_spec() -> None:
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steps: list[AgentSpecStep] = [
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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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request = AgentExecutionRequest(
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agent_spec=AgentSpec(
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name="Invoice cleanup",
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description="Normalise inbound invoices",
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objective="Prepare uploads for accounting review",
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steps=steps,
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),
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current_step_index=0,
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execution_context=ExecutionContext(input_files=["invoice.pdf"]),
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)
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assert request.agent_spec.steps[0].kind == "tool"
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def test_edit_plan_response_has_typed_steps() -> None:
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steps = [ToolOperationStep(tool=OperationId.ROTATE, parameters=RotateParams(angle=90))]
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response = EditPlanResponse(
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summary="Rotate the input PDF by 90 degrees.",
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steps=steps,
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)
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assert response.steps[0].tool == OperationId.ROTATE
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def test_pdf_question_answer_defaults_evidence_list() -> None:
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response = PdfQuestionAnswerResponse(answer="The invoice total is 120.00")
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assert response.evidence == []
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@pytest.fixture(autouse=True)
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def clear_settings_cache() -> Iterator[None]:
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load_settings.cache_clear()
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yield
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load_settings.cache_clear()
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def test_app_settings_accepts_model_configuration() -> None:
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settings = AppSettings(
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smart_model_name="claude-sonnet-4-5-20250929",
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fast_model_name="claude-haiku-4-5-20251001",
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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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assert settings.smart_model_name
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assert settings.fast_model_max_tokens == 2048
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