Adds the Gemini API orchestrator (ReAct tool loop → Claude responder):
Orchestrator engine + router:
- orchestrator_engine.py: Gemini API tool loop, Claude CLI handoff
- routers/orchestrator.py: POST /orchestrate (async job queue), GET /orchestrate/{job_id}
Tools (cortex/tools/):
- web.py: DuckDuckGo web search (no key required)
- ae_knowledge.py: ae_journal_search + ae_journal_entry_create (AE V3 API)
- ae_tasks.py: ae_task_list (reads agents_sync Kanban filesystem)
- files.py: file_read (path-allowlisted to safe dirs)
Config + deps:
- config.py: orchestrator, DuckDuckGo, and AE API settings
- requirements.txt: google-genai, duckduckgo-search
- .env.default: reference config with all new keys documented
Docs:
- CLAUDE.md, README.md, documentation/ added to repo
- Port references updated 7331 → 8000 throughout
- Default model updated to gemini-2.5-flash
Tested: ae_task_list, ae_journal_search, web_search all working end-to-end.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
175 lines
5.8 KiB
Python
175 lines
5.8 KiB
Python
"""
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Orchestrator router — POST /orchestrate, GET /orchestrate/{job_id}
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Accepts a task description, runs it through the orchestrator engine
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(Gemini tool loop → Claude response), and returns the result.
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Designed to be triggered from:
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- The Cortex web UI (future "Agent mode" toggle)
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- Cron jobs: curl -X POST http://localhost:8000/orchestrate -d '{"task":"..."}'
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- Webhooks: Gitea, Aether events, etc.
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"""
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import asyncio
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import logging
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import uuid
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from datetime import datetime, timezone
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from fastapi import APIRouter
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from pydantic import BaseModel
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from config import settings
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from context_loader import load_context
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import orchestrator_engine
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/orchestrate", tags=["orchestrator"])
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# ---------------------------------------------------------------------------
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# In-memory job store
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# Jobs are keyed by UUID. For this phase, memory is fine — jobs are short-lived.
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# ---------------------------------------------------------------------------
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_jobs: dict[str, dict] = {}
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_jobs_lock = asyncio.Lock()
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# ---------------------------------------------------------------------------
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# Request / response models
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# ---------------------------------------------------------------------------
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class OrchestrateRequest(BaseModel):
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task: str
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session_id: str | None = None # include session history in context
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tier: int | None = None # Inara context tier (default from settings)
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respond_with_claude: bool = True # False = return Gemini summary only (faster, for cron)
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include_long: bool = True
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include_mid: bool = True
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include_short: bool = True
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class OrchestrateResponse(BaseModel):
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job_id: str
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status: str # "queued" | "running" | "complete" | "error"
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class JobStatusResponse(BaseModel):
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job_id: str
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status: str
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task: str
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created_at: str
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completed_at: str | None = None
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response: str | None = None
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tool_calls: list[dict] | None = None
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backend: str | None = None
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gemini_summary: str | None = None
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error: str | None = None
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# ---------------------------------------------------------------------------
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# Endpoints
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# ---------------------------------------------------------------------------
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@router.post("", response_model=OrchestrateResponse)
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async def orchestrate(req: OrchestrateRequest) -> OrchestrateResponse:
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"""Submit a task to the orchestrator. Returns a job_id to poll."""
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job_id = str(uuid.uuid4())
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now = datetime.now(timezone.utc).isoformat()
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job: dict = {
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"job_id": job_id,
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"status": "queued",
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"task": req.task,
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"created_at": now,
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"completed_at": None,
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"response": None,
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"tool_calls": None,
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"backend": None,
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"gemini_summary": None,
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"error": None,
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}
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async with _jobs_lock:
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_jobs[job_id] = job
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# Run in background — caller polls GET /orchestrate/{job_id}
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asyncio.create_task(_run_job(job_id, req))
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logger.info("Orchestrator job queued: %s — %.80s", job_id, req.task)
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return OrchestrateResponse(job_id=job_id, status="queued")
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@router.get("/{job_id}", response_model=JobStatusResponse)
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async def job_status(job_id: str) -> JobStatusResponse:
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"""Poll the status of an orchestrator job."""
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async with _jobs_lock:
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job = _jobs.get(job_id)
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if job is None:
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from fastapi import HTTPException
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raise HTTPException(status_code=404, detail=f"Job {job_id} not found")
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return JobStatusResponse(**job)
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@router.get("", response_model=list[JobStatusResponse])
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async def list_jobs() -> list[JobStatusResponse]:
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"""List all jobs (most recent first). Useful for debugging."""
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async with _jobs_lock:
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jobs = sorted(_jobs.values(), key=lambda j: j["created_at"], reverse=True)
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return [JobStatusResponse(**j) for j in jobs]
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# ---------------------------------------------------------------------------
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# Background runner
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# ---------------------------------------------------------------------------
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async def _run_job(job_id: str, req: OrchestrateRequest) -> None:
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"""Execute the orchestration job and update the job store."""
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async with _jobs_lock:
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_jobs[job_id]["status"] = "running"
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try:
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# Load Inara's system prompt (same as the chat router does)
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tier = req.tier or settings.default_tier
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system_prompt = load_context(
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tier,
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include_long=req.include_long,
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include_mid=req.include_mid,
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include_short=req.include_short,
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)
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# Load session history if a session_id was provided
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session_messages: list[dict] | None = None
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if req.session_id:
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from session_store import load as load_session
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session_messages = load_session(req.session_id) or None
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result = await orchestrator_engine.run(
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task=req.task,
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system_prompt=system_prompt,
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session_messages=session_messages,
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respond_with_claude=req.respond_with_claude,
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)
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now = datetime.now(timezone.utc).isoformat()
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async with _jobs_lock:
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_jobs[job_id].update({
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"status": "complete",
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"completed_at": now,
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"response": result.response,
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"tool_calls": result.tool_calls,
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"backend": result.backend,
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"gemini_summary": result.gemini_summary,
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})
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logger.info("Orchestrator job complete: %s (%d tool calls)", job_id, len(result.tool_calls))
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except Exception as e:
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logger.exception("Orchestrator job failed: %s", job_id)
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now = datetime.now(timezone.utc).isoformat()
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async with _jobs_lock:
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_jobs[job_id].update({
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"status": "error",
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"completed_at": now,
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"error": str(e),
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})
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