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OpenAI-compatible API at :8900. Intent classifier routes status queries to FAST_MODEL (Ollama), task submissions to Plane, planning to SMART_MODEL. Reads agent-os logs for status context. Phase 3: approval gate + execution. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
import json
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import logging
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import os
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from pathlib import Path
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import httpx
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logger = logging.getLogger("jon-snow.tools")
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PLANE_URL = os.getenv("PLANE_URL", "http://172.27.40.3:8095")
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PLANE_WORKSPACE = os.getenv("PLANE_WORKSPACE", "nxm")
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PLANE_API_KEY = os.getenv("PLANE_API_KEY", "")
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AGENT_FULL_NAMES = [
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"hodor-gateway", "bran-changelog", "varys-monitor", "sam-research",
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"raven-notify", "qyburn-coder", "citadel-mcp", "jon-snow",
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]
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SHORT_TO_FULL = {
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"hodor": "hodor-gateway",
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"bran": "bran-changelog",
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"varys": "varys-monitor",
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"sam": "sam-research",
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"raven": "raven-notify",
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"qyburn": "qyburn-coder",
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"citadel": "citadel-mcp",
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"jon": "jon-snow",
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}
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def get_all_agent_status(agent_os_dir: Path) -> str:
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logs_dir = agent_os_dir / "logs"
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if not logs_dir.exists():
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return "Agent log directory not found."
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lines = []
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for full_name in AGENT_FULL_NAMES:
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log_file = logs_dir / full_name / "last-run.json"
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if log_file.exists():
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try:
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data = json.loads(log_file.read_text())
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ts = data.get("timestamp", "unknown")[:19].replace("T", " ")
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status = data.get("status", "unknown")
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result = data.get("result", "")[:120]
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icon = "OK" if status == "success" else "FAIL"
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lines.append(f"- **{full_name}**: [{icon}] {ts} UTC — {result}")
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except Exception as e:
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lines.append(f"- **{full_name}**: error reading log ({e})")
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else:
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lines.append(f"- **{full_name}**: no log (never run or not yet deployed)")
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return "\n".join(lines)
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def get_agent_output(sites_dir: Path, agent_name: str) -> str | None:
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short_name = agent_name if agent_name in SHORT_TO_FULL else next(
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(k for k, v in SHORT_TO_FULL.items() if v == agent_name), agent_name
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)
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output_file = sites_dir / short_name / "last-output.md"
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if not output_file.exists():
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return None
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content = output_file.read_text()
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return content[:3000]
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async def get_plane_projects() -> list[dict]:
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headers = {"X-Api-Key": PLANE_API_KEY}
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async with httpx.AsyncClient() as client:
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resp = await client.get(
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f"{PLANE_URL}/api/v1/workspaces/{PLANE_WORKSPACE}/projects/",
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headers=headers, timeout=10,
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)
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resp.raise_for_status()
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return resp.json().get("results", [])
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def _resolve_project(projects: list[dict], hint: str | None) -> dict:
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if hint:
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hint_lower = hint.lower()
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for p in projects:
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if hint_lower in p["name"].lower():
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return p
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# Default: Agent Ecosystem
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for p in projects:
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if "agent" in p["name"].lower():
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return p
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return projects[0]
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async def create_plane_issue(title: str, project_hint: str | None = None) -> dict:
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projects = await get_plane_projects()
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if not projects:
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raise ValueError("No Plane projects found")
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project = _resolve_project(projects, project_hint)
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headers = {"X-Api-Key": PLANE_API_KEY, "Content-Type": "application/json"}
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async with httpx.AsyncClient() as client:
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resp = await client.post(
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f"{PLANE_URL}/api/v1/workspaces/{PLANE_WORKSPACE}/projects/{project['id']}/issues/",
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headers=headers,
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json={"name": title[:255], "priority": "none"},
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timeout=10,
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)
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resp.raise_for_status()
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issue = resp.json()
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return {
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"sequence_id": issue.get("sequence_id", "?"),
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"title": title[:80],
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"project": project["name"],
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}
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