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Stirling-PDF/engine/src/stirling/agents/orchestrator.py
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2026-05-14 16:20:45 +00:00

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Python

from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import assert_never
from pydantic_ai import Agent
from pydantic_ai.output import ToolOutput
from pydantic_ai.tools import RunContext
from stirling.agents.pdf_edit import PdfEditAgent
from stirling.agents.pdf_questions import PdfQuestionAgent
from stirling.agents.pdf_review import PdfReviewAgent
from stirling.agents.pdf_to_markdown import PdfToMarkdownAgent
from stirling.agents.user_spec import UserSpecAgent
from stirling.contracts import (
AgentDraftWorkflowResponse,
ExtractedTextArtifact,
OrchestratorRequest,
OrchestratorResponse,
PageLayoutArtifact,
PdfEditResponse,
PdfQuestionOrchestrateResponse,
SupportedCapability,
UnsupportedCapabilityResponse,
format_conversation_history,
format_file_names,
)
from stirling.contracts.pdf_edit import EditPlanResponse
from stirling.contracts.pdf_to_markdown import PdfToMarkdownOrchestrateResponse
from stirling.services import AppRuntime
logger = logging.getLogger(__name__)
@dataclass(frozen=True)
class OrchestratorDeps:
runtime: AppRuntime
request: OrchestratorRequest
class OrchestratorAgent:
def __init__(self, runtime: AppRuntime) -> None:
self.runtime = runtime
self.agent = Agent(
model=runtime.fast_model,
output_type=[
ToolOutput(
self.delegate_pdf_edit,
name="delegate_pdf_edit",
description="Delegate requests for PDF modifications and return the PDF edit result.",
),
ToolOutput(
self.delegate_pdf_question,
name="delegate_pdf_question",
description="Delegate questions about PDF contents and return the PDF question result.",
),
ToolOutput(
self.delegate_user_spec,
name="delegate_user_spec",
description="Delegate requests to create or revise a user agent spec and return the draft result.",
),
ToolOutput(
self.delegate_pdf_review,
name="delegate_pdf_review",
description=(
"Delegate requests to review a PDF and leave review comments, notes, or"
" sticky-note annotations on the document itself. Use this when the user"
" wants the PDF returned with comments attached (e.g. 'review this',"
" 'add review comments', 'flag unclear sentences', 'annotate with"
" feedback')."
),
),
ToolOutput(
self.delegate_pdf_to_markdown,
name="delegate_pdf_to_markdown",
description=("Delegate requests to reconstruct a PDF as a Markdown document."),
),
ToolOutput(
self.unsupported_capability,
name="unsupported_capability",
description="Return this when none of the delegate outputs fit the request.",
),
],
deps_type=OrchestratorDeps,
system_prompt=(
"You are the top-level orchestrator. "
"Choose exactly one output function that best handles the request. "
"Use delegate_pdf_edit for requested modifications of single or multiple PDFs. "
"Use delegate_pdf_question for questions about the contents of the attached PDFs. "
"Use delegate_user_spec for requests to create or define an agent spec. "
"Use delegate_pdf_review when the user wants the PDF returned with review"
" comments attached — anything like 'review this', 'annotate with comments',"
" 'leave feedback on the PDF'. "
"Use delegate_pdf_to_markdown for any request to convert a PDF to Markdown "
"or reconstruct its content as readable text. "
"Use unsupported_capability when the user asks about the assistant itself "
"or when none of the other outputs fit; supply a helpful message."
),
model_settings=runtime.fast_model_settings,
)
async def handle(self, request: OrchestratorRequest) -> OrchestratorResponse:
logger.info(
"[orchestrator] handle: files=%s resume_with=%s artifacts=%s msg=%r",
[file.name for file in request.files],
request.resume_with,
[type(a).__name__ for a in request.artifacts],
request.user_message,
)
if request.resume_with is not None:
return await self._resume(request, request.resume_with)
result = await self.agent.run(
self._build_prompt(request),
deps=OrchestratorDeps(runtime=self.runtime, request=request),
)
logger.info("[orchestrator] routed -> %s", type(result.output).__name__)
return result.output
async def _resume(self, request: OrchestratorRequest, capability: SupportedCapability) -> OrchestratorResponse:
"""Fast-path to get back to the correct endpoint without having to call AI.
Also the entry point for the *multi-turn* flow where a delegate emits a plan with
``resume_with`` set — Java runs the plan, captures any tool reports as artifacts, and
re-enters via this method so the delegate can digest the reports.
"""
match capability:
case SupportedCapability.PDF_QUESTION:
return await self._run_pdf_question(request)
case SupportedCapability.PDF_REVIEW:
return await self._run_pdf_review(request)
case SupportedCapability.PDF_EDIT:
return await self._run_pdf_edit(request)
case SupportedCapability.AGENT_DRAFT:
return await self._run_agent_draft(request)
case SupportedCapability.PDF_TO_MARKDOWN:
return await self._run_pdf_to_markdown(request)
case (
SupportedCapability.ORCHESTRATE
| SupportedCapability.AGENT_REVISE
| SupportedCapability.AGENT_NEXT_ACTION
| SupportedCapability.MATH_AUDITOR_AGENT
):
raise ValueError(f"Cannot resume orchestrator with capability: {capability}")
case _ as unreachable:
assert_never(unreachable)
async def delegate_pdf_edit(self, ctx: RunContext[OrchestratorDeps]) -> PdfEditResponse:
return await self._run_pdf_edit(ctx.deps.request)
async def _run_pdf_edit(self, request: OrchestratorRequest) -> PdfEditResponse:
return await PdfEditAgent(self.runtime).orchestrate(request)
async def delegate_pdf_question(self, ctx: RunContext[OrchestratorDeps]) -> PdfQuestionOrchestrateResponse:
return await self._run_pdf_question(ctx.deps.request)
async def _run_pdf_question(self, request: OrchestratorRequest) -> PdfQuestionOrchestrateResponse:
return await PdfQuestionAgent(self.runtime).orchestrate(request)
async def delegate_user_spec(self, ctx: RunContext[OrchestratorDeps]) -> AgentDraftWorkflowResponse:
return await self._run_agent_draft(ctx.deps.request)
async def _run_agent_draft(self, request: OrchestratorRequest) -> AgentDraftWorkflowResponse:
return await UserSpecAgent(self.runtime).orchestrate(request)
async def delegate_pdf_to_markdown(self, ctx: RunContext[OrchestratorDeps]) -> PdfToMarkdownOrchestrateResponse:
return await self._run_pdf_to_markdown(ctx.deps.request)
async def _run_pdf_to_markdown(self, request: OrchestratorRequest) -> PdfToMarkdownOrchestrateResponse:
return await PdfToMarkdownAgent(self.runtime).orchestrate(request)
async def delegate_pdf_review(self, ctx: RunContext[OrchestratorDeps]) -> EditPlanResponse:
return await self._run_pdf_review(ctx.deps.request)
async def _run_pdf_review(self, request: OrchestratorRequest) -> EditPlanResponse:
return await PdfReviewAgent(self.runtime).orchestrate(request)
async def unsupported_capability(
self,
ctx: RunContext[OrchestratorDeps],
capability: str,
message: str,
) -> UnsupportedCapabilityResponse:
return UnsupportedCapabilityResponse(capability=capability, message=message)
def _build_prompt(self, request: OrchestratorRequest) -> str:
artifact_summary = self._describe_artifacts(request)
history = format_conversation_history(request.conversation_history)
return (
f"Conversation history:\n{history}\n"
f"User message: {request.user_message}\n"
f"Files: {format_file_names(request.files)}\n"
f"Available artifacts:\n{artifact_summary}"
)
def _describe_artifacts(self, request: OrchestratorRequest) -> str:
if not request.artifacts:
return "- none"
descriptions: list[str] = []
for artifact in request.artifacts:
if isinstance(artifact, ExtractedTextArtifact):
total_pages = sum(len(f.pages) for f in artifact.files)
file_names = [f.file_name for f in artifact.files]
descriptions.append(f"- extracted_text: {total_pages} pages from {file_names}")
continue
if isinstance(artifact, PageLayoutArtifact):
total_pages = sum(len(f.pages) for f in artifact.files)
file_names = [f.file_name for f in artifact.files]
descriptions.append(f"- page_layout: {total_pages} pages from {file_names}")
continue
descriptions.append("- unknown artifact")
return "\n".join(descriptions)