from stirling.config import AppSettings from stirling.contracts import ( AgentExecutionRequest, AgentSpec, AgentSpecStep, AiFile, EditPlanResponse, ExecutionContext, ExtractedFileText, ExtractedTextArtifact, OrchestratorRequest, PdfQuestionAnswerResponse, PdfTextSelection, ToolOperationStep, ) from stirling.models import FileId from stirling.models.tool_models import Angle, RotatePdfParams, ToolEndpoint def test_orchestrator_request_accepts_user_message() -> None: request = OrchestratorRequest( user_message="Rotate the PDF", files=[AiFile(id=FileId("test-id"), name="test.pdf")], artifacts=[ ExtractedTextArtifact( files=[ ExtractedFileText( file_name="test.pdf", pages=[PdfTextSelection(page_number=1, text="Hello")], ) ] ) ], ) assert request.user_message == "Rotate the PDF" assert len(request.artifacts) == 1 def test_agent_execution_request_uses_typed_agent_spec() -> None: steps: list[AgentSpecStep] = [ ToolOperationStep( tool=ToolEndpoint.ROTATE_PDF, parameters=RotatePdfParams(angle=Angle(90)), ) ] request = AgentExecutionRequest( agent_spec=AgentSpec( name="Invoice cleanup", description="Normalise inbound invoices", objective="Prepare uploads for accounting review", steps=steps, ), current_step_index=0, execution_context=ExecutionContext(input_files=["invoice.pdf"]), ) assert request.agent_spec.steps[0].kind == "tool" def test_edit_plan_response_has_typed_steps() -> None: steps = [ToolOperationStep(tool=ToolEndpoint.ROTATE_PDF, parameters=RotatePdfParams(angle=Angle(90)))] response = EditPlanResponse( summary="Rotate the input PDF by 90 degrees.", steps=steps, ) assert response.steps[0].tool == ToolEndpoint.ROTATE_PDF def test_pdf_question_answer_defaults_evidence_list() -> None: response = PdfQuestionAnswerResponse(answer="The invoice total is 120.00") assert response.evidence == [] def test_app_settings_accepts_model_configuration() -> None: from pathlib import Path from stirling.config import RagBackend settings = AppSettings( smart_model_name="claude-sonnet-4-5-20250929", fast_model_name="claude-haiku-4-5-20251001", smart_model_max_tokens=8192, fast_model_max_tokens=2048, rag_backend=RagBackend.SQLITE, rag_embedding_model="voyageai:voyage-4", rag_store_path=Path(":memory:"), rag_pgvector_dsn="", rag_chunk_size=512, rag_chunk_overlap=64, rag_default_top_k=5, rag_max_searches=5, max_pages=200, max_characters=200_000, posthog_enabled=False, posthog_api_key="", posthog_host="https://eu.i.posthog.com", ) assert settings.smart_model_name assert settings.fast_model_max_tokens == 2048