628 lines
24 KiB
Python
628 lines
24 KiB
Python
#!/usr/bin/env python3
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"""
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Agentic OS — FastAPI Backend
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Multi-agent orchestration server for opencode, Hermes, Gemini CLI
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"""
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import argparse
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import json
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import os
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import shutil
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import subprocess
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import tarfile
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import time
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Optional
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import HTMLResponse, JSONResponse, Response
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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app = FastAPI(title="Agentic OS", version="1.1.0")
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# Load OpenRouter API key from Hermes .env
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HERMES_ENV = Path.home() / ".hermes" / ".env"
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if HERMES_ENV.exists():
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for line in HERMES_ENV.read_text().splitlines():
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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k, v = line.split("=", 1)
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if k == "OPENROUTER_API_KEY":
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os.environ[k] = v # last value wins (matches shell sourcing)
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# CORS for local dev
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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BASE_DIR = Path(__file__).parent.resolve()
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# ─── Models ───────────────────────────────────────────────────────
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class BrainUpdate(BaseModel):
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content: str
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class SkillRunRequest(BaseModel):
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input: Optional[str] = ""
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agent: Optional[str] = "auto"
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class ScheduleJobRequest(BaseModel):
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name: str
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skill: str
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cron: str
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enabled: bool = True
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class SettingsUpdate(BaseModel):
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settings: dict
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class BackupRestoreRequest(BaseModel):
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file: str
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class ChatRequest(BaseModel):
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agent: str
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message: str
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# ─── Helper Functions ─────────────────────────────────────────────
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def read_file(path: Path):
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if not path.exists():
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return ""
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return path.read_text(encoding="utf-8")
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def write_file(path: Path, content: str):
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path.write_text(content, encoding="utf-8")
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return True
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def list_dir(path: Path):
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if not path.exists():
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return []
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return sorted([p.name for p in path.iterdir() if not p.name.startswith(".")])
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def get_timestamp():
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return datetime.now(timezone.utc).isoformat()
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def append_audit(entry: dict):
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audit_file = BASE_DIR / "audit" / "audit.log"
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entry["timestamp"] = get_timestamp()
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entry["id"] = str(uuid.uuid4())[:8]
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with open(audit_file, "a") as f:
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f.write(json.dumps(entry) + "\n")
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# ─── Agent Discovery (instant filesystem checks) ────────────────────
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def check_agent(name: str) -> dict:
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"""Instant filesystem-based check. No subprocess needed."""
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try:
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if name == "opencode":
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exists = shutil.which("opencode") is not None
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status = "online" if exists else "offline"
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elif name == "hermes":
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exists = shutil.which("hermes") is not None
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status = "online" if exists else "offline"
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elif name == "gemini":
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# Gemini has valid OAuth tokens logged in
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oauth = Path.home() / ".gemini" / "oauth_creds.json"
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exists = shutil.which("gemini") is not None
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logged_in = oauth.exists() and "ya29" in oauth.read_text()
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status = "online" if exists and logged_in else "offline" if not exists else "warning"
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else:
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status = "offline"
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except Exception:
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status = "offline"
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return {"name": name, "status": status}
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# ─── Routes: Status ───────────────────────────────────────────────
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@app.get("/api/status")
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def get_status():
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agents = [check_agent(a) for a in ["opencode", "hermes", "gemini"]]
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skills = list_dir(BASE_DIR / "skills")
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return {
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"status": "healthy",
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"agents": agents,
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"skills_count": len(skills),
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"uptime": time.time(),
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}
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# ─── Routes: Brain ────────────────────────────────────────────────
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@app.get("/api/brain")
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def list_brain():
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files = list_dir(BASE_DIR / "brain")
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brain_data = {}
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for f in files:
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path = BASE_DIR / "brain" / f
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brain_data[f] = read_file(path)
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return brain_data
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@app.get("/api/brain/{file_name}")
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def get_brain_file(file_name: str):
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path = BASE_DIR / "brain" / file_name
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if not path.exists() or path.is_dir():
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raise HTTPException(404, "File not found")
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return {"name": file_name, "content": read_file(path)}
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@app.put("/api/brain/{file_name}")
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def update_brain_file(file_name: str, data: BrainUpdate):
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path = BASE_DIR / "brain" / file_name
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write_file(path, data.content)
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append_audit({"action": "brain_update", "file": file_name})
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return {"status": "ok", "file": file_name}
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# ─── Routes: Skills ───────────────────────────────────────────────
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@app.get("/api/skills")
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def list_skills():
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skills = []
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for d in sorted((BASE_DIR / "skills").iterdir()):
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if d.is_dir() and not d.name.startswith("_"):
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skill_md = read_file(d / "SKILL.md")
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learnings = read_file(d / "learnings.md")
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eval_data = {}
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eval_path = d / "eval.json"
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if eval_path.exists():
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eval_data = json.loads(eval_path.read_text())
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score_history = []
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score_path = d / "score-history.json"
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if score_path.exists():
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score_history = json.loads(score_path.read_text())
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skills.append({
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"name": d.name,
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"description": skill_md[:200] if skill_md else "",
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"has_learnings": bool(learnings),
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"eval_criteria": eval_data.get("criteria", []),
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"scores": score_history,
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})
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return skills
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@app.get("/api/skills/{name}")
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def get_skill(name: str):
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path = BASE_DIR / "skills" / name
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if not path.exists():
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raise HTTPException(404, "Skill not found")
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return {
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"name": name,
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"skill": read_file(path / "SKILL.md"),
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"learnings": read_file(path / "learnings.md"),
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"eval": json.loads((path / "eval.json").read_text()) if (path / "eval.json").exists() else {},
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"score_history": json.loads((path / "score-history.json").read_text()) if (path / "score-history.json").exists() else [],
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"context": [f.name for f in (path / "context").iterdir()] if (path / "context").exists() else [],
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}
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@app.post("/api/skills/{name}/run")
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def run_skill(name: str, req: Optional[SkillRunRequest] = None):
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path = BASE_DIR / "skills" / name
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if not path.exists():
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raise HTTPException(404, "Skill not found")
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agent_choice = req.agent if req else "auto"
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skill_input = req.input if req else ""
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# Determine which agent based on skill type
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if agent_choice == "auto":
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devops_keywords = ["devops", "audit", "deploy", "k8s", "gcp", "infra", "terraform"]
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research_keywords = ["research", "synthesis", "analyze", "search", "compare"]
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if any(k in name for k in devops_keywords):
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agent_choice = "opencode"
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elif any(k in name for k in research_keywords):
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agent_choice = "gemini"
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else:
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agent_choice = "opencode"
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# Log execution
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run_id = str(uuid.uuid4())[:8]
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append_audit({
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"action": "skill_run",
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"skill": name,
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"agent": agent_choice,
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"run_id": run_id,
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})
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return {
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"status": "started",
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"run_id": run_id,
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"skill": name,
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"agent": agent_choice,
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"message": f"Skill '{name}' dispatched to {agent_choice}",
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}
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@app.get("/api/skills/{name}/eval")
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def get_skill_eval(name: str):
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path = BASE_DIR / "skills" / name / "score-history.json"
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if not path.exists():
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return {"scores": []}
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return {"scores": json.loads(path.read_text())}
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# ─── Routes: Scheduler ────────────────────────────────────────────
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@app.get("/api/scheduler/jobs")
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def list_jobs():
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jobs_dir = BASE_DIR / "scheduler" / "jobs"
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jobs = []
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for f in sorted(jobs_dir.glob("*.json")):
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jobs.append(json.loads(f.read_text()))
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return jobs
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@app.post("/api/scheduler/jobs")
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def create_job(job: ScheduleJobRequest):
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jobs_dir = BASE_DIR / "scheduler" / "jobs"
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jobs_dir.mkdir(parents=True, exist_ok=True)
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job_data = {
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"id": str(uuid.uuid4())[:8],
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"name": job.name,
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"skill": job.skill,
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"cron": job.cron,
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"enabled": job.enabled,
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"created": get_timestamp(),
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"last_run": None,
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"next_run": None,
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}
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(jobs_dir / f"{job.name.replace(' ', '_')}.json").write_text(
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json.dumps(job_data, indent=2)
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)
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append_audit({"action": "job_created", "job": job.name})
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return job_data
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@app.delete("/api/scheduler/jobs/{job_id}")
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def delete_job(job_id: str):
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jobs_dir = BASE_DIR / "scheduler" / "jobs"
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for f in jobs_dir.glob("*.json"):
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data = json.loads(f.read_text())
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if data.get("id") == job_id:
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f.unlink()
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append_audit({"action": "job_deleted", "job_id": job_id})
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return {"status": "deleted"}
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raise HTTPException(404, "Job not found")
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# ─── Routes: Audit ────────────────────────────────────────────────
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@app.get("/api/audit")
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def get_audit(limit: int = Query(100, le=500)):
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audit_file = BASE_DIR / "audit" / "audit.log"
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if not audit_file.exists():
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return {"entries": []}
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lines = audit_file.read_text().strip().split("\n")
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entries = [json.loads(l) for l in lines if l.strip()]
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return {"entries": entries[-limit:]}
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# ─── Routes: Cost Analytics ───────────────────────────────────────
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@app.get("/api/cost")
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def get_cost():
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cost_file = BASE_DIR / "data" / "cost-history.json"
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if not cost_file.exists():
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return {"entries": [], "daily_totals": {}, "monthly_projection": 0, "free_tier_alerts": []}
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return json.loads(cost_file.read_text())
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@app.post("/api/cost/record")
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def record_cost(data: dict):
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cost_file = BASE_DIR / "data" / "cost-history.json"
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cost_data = json.loads(cost_file.read_text()) if cost_file.exists() else \
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{"entries": [], "daily_totals": {}, "monthly_projection": 0, "free_tier_alerts": []}
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cost_data["entries"].append({
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"timestamp": get_timestamp(),
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"agent": data.get("agent", "unknown"),
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"tokens": data.get("tokens", 0),
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"cost": data.get("cost", 0.0),
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"model": data.get("model", "unknown"),
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})
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cost_file.write_text(json.dumps(cost_data, indent=2))
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return {"status": "recorded"}
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# ─── Routes: Registry/Plugins ─────────────────────────────────────
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@app.get("/api/plugins")
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def list_plugins():
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reg_file = BASE_DIR / "registry" / "plugins.json"
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if not reg_file.exists():
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return {"plugins": []}
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return json.loads(reg_file.read_text())
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@app.post("/api/plugins/install")
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def install_plugin(data: dict):
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name = data.get("name", "").strip()
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if not name:
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raise HTTPException(400, "Plugin name required")
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reg_file = BASE_DIR / "registry" / "plugins.json"
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reg = json.loads(reg_file.read_text()) if reg_file.exists() else {"plugins": []}
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if any(p["name"] == name for p in reg["plugins"]):
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return {"status": "already_installed"}
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reg["plugins"].append({
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"name": name,
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"installed": get_timestamp(),
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"version": "1.0.0",
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})
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reg_file.write_text(json.dumps(reg, indent=2))
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append_audit({"action": "plugin_installed", "plugin": name})
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return {"status": "installed", "plugin": name}
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# ─── Routes: Backup ───────────────────────────────────────────────
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@app.get("/api/backups")
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def list_backups():
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backup_dir = BASE_DIR / "backups"
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backups = []
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for f in sorted(backup_dir.glob("*.tar.gz"), reverse=True):
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backups.append({
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"name": f.name,
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"size": f.stat().st_size,
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"created": datetime.fromtimestamp(f.stat().st_mtime).isoformat(),
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})
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return backups
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@app.post("/api/backup")
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def create_backup():
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backup_dir = BASE_DIR / "backups"
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backup_dir.mkdir(exist_ok=True)
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ts = datetime.now().strftime("%Y%m%d_%H%M%S")
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backup_file = backup_dir / f"agentic-os-{ts}.tar.gz"
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with tarfile.open(backup_file, "w:gz") as tar:
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for dir_name in ["brain", "skills", "agents", "registry", "standards", "prompts"]:
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d = BASE_DIR / dir_name
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if d.exists():
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tar.add(d, arcname=dir_name)
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append_audit({"action": "backup_created", "file": backup_file.name})
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return {"status": "ok", "file": backup_file.name, "size": backup_file.stat().st_size}
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@app.post("/api/backup/restore")
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def restore_backup(data: BackupRestoreRequest):
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backup_file = BASE_DIR / "backups" / data.file
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if not backup_file.exists():
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raise HTTPException(404, "Backup file not found")
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with tarfile.open(backup_file, "r:gz") as tar:
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tar.extractall(path=BASE_DIR)
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append_audit({"action": "backup_restored", "file": data.file})
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return {"status": "restored"}
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# ─── Routes: Prompts ──────────────────────────────────────────────
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@app.get("/api/prompts")
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def list_prompts():
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prompts_dir = BASE_DIR / "prompts"
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prompts = {}
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for f in sorted(prompts_dir.glob("*.md")):
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prompts[f.stem] = read_file(f)
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return prompts
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# ─── Routes: Settings ─────────────────────────────────────────────
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@app.get("/api/settings")
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def get_settings():
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sf = BASE_DIR / "data" / "settings.json"
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if not sf.exists():
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return {}
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return json.loads(sf.read_text())
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@app.put("/api/settings")
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def update_settings(data: SettingsUpdate):
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sf = BASE_DIR / "data" / "settings.json"
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# Merge with existing
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existing = json.loads(sf.read_text()) if sf.exists() else {}
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existing.update(data.settings)
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sf.write_text(json.dumps(existing, indent=2))
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append_audit({"action": "settings_updated"})
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return {"status": "ok"}
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# ─── Routes: Standards ────────────────────────────────────────────
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@app.get("/api/standards")
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def list_standards():
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std_dir = BASE_DIR / "standards"
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if not std_dir.exists():
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return {"standards": []}
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standards = []
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index_file = std_dir / "index.yml"
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index_content = read_file(index_file)
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for f in std_dir.glob("*.md"):
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standards.append({
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"name": f.stem,
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"content": read_file(f),
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})
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return {"standards": standards, "index": index_content}
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@app.post("/api/standards/discover")
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def discover_standards():
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# Stub: scans codebase for patterns
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append_audit({"action": "standards_discovery_run"})
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return {"status": "discovery_started", "message": "Scanning codebase for patterns..."}
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# ─── Routes: Chat ─────────────────────────────────────────────────
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CHAT_HISTORY_FILE = BASE_DIR / "data" / "chat-history.json"
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def load_chat_history():
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if CHAT_HISTORY_FILE.exists():
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return json.loads(CHAT_HISTORY_FILE.read_text())
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return {"messages": []}
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def save_chat_message(msg: dict):
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history = load_chat_history()
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history["messages"].append(msg)
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if len(history["messages"]) > 200:
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history["messages"] = history["messages"][-200:]
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CHAT_HISTORY_FILE.write_text(json.dumps(history, indent=2))
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def run_cli(args: list, timeout: int = 30) -> tuple:
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r = subprocess.run(args, capture_output=True, text=True, timeout=timeout)
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return r.returncode, r.stdout, r.stderr
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def clean_hermes_output(raw: str) -> str:
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"""Strip CLI metadata from Hermes output, returning only the AI response."""
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if not raw:
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return ""
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lines = raw.split('\n')
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in_box = False
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content_lines = []
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for line in lines:
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if '╭─' in line:
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in_box = True
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continue
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if '╰─' in line:
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in_box = False
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continue
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if in_box:
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# Remove ANSI escape codes and leading whitespace
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cleaned = line.strip()
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if cleaned:
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content_lines.append(cleaned)
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if content_lines:
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return '\n'.join(content_lines)
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# Fallback: if no box found, return last non-metadata line
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non_meta = [l.strip() for l in lines if l.strip() and not l.startswith(('Query:', 'Initializing', '──', 'Resume', 'Session:', 'Duration:', 'Messages:'))]
|
|
return '\n'.join(non_meta[-5:]) or raw
|
|
|
|
def execute_agent(agent: str, message: str) -> str:
|
|
try:
|
|
if agent == "opencode":
|
|
try:
|
|
code, out, err = run_cli(["opencode", "run", "--format", "json", message], timeout=30)
|
|
except subprocess.TimeoutExpired:
|
|
return f"⏱ Agent 'opencode' timed out.\n\nOpenCode's model is taking too long. Try running `opencode run \"{message[:60]}\"` directly in your terminal.\n\n**Message:** {message[:100]}"
|
|
if code == 0:
|
|
response_text = ""
|
|
for line in (out or "").split('\n'):
|
|
line = line.strip()
|
|
if not line:
|
|
continue
|
|
try:
|
|
event = json.loads(line)
|
|
if event.get("type") == "text":
|
|
text = event.get("part", {}).get("text", "")
|
|
if text:
|
|
response_text += text + "\n"
|
|
except (json.JSONDecodeError, KeyError):
|
|
continue
|
|
if response_text:
|
|
return response_text.strip()
|
|
return f"**opencode**\n\nProcessed your message.\n\n**Message:** {message[:100]}"
|
|
err_msg = (err or "").strip()
|
|
return err_msg or f"opencode returned exit code {code}"
|
|
|
|
elif agent == "hermes":
|
|
try:
|
|
code, out, err = run_cli(["hermes", "chat", "-q", message], timeout=180)
|
|
except subprocess.TimeoutExpired:
|
|
return f"⏱ Hermes timed out.\n\nThe model took too long to respond. Try a shorter query or check your OpenRouter rate limits.\n\n**Message:** {message[:100]}"
|
|
if code == 0:
|
|
cleaned = clean_hermes_output(out or "")
|
|
if cleaned:
|
|
return cleaned
|
|
# Empty response from model - return useful fallback
|
|
return f"**Hermes**\n\nReceived your message but the model returned an empty response. Try rephrasing your query.\n\n**Message:** {message}"
|
|
err_msg = (err or "").strip()
|
|
if "invalid choice" in err_msg or "usage:" in err_msg:
|
|
return f"**Hermes needs setup**\n\nRun `hermes setup` or check your config.\n\n**Details:** {err_msg[:200]}"
|
|
return err_msg or f"hermes returned exit code {code}"
|
|
|
|
elif agent == "gemini":
|
|
for attempt, (args, to) in enumerate([
|
|
(["-y", "-m", "gemini-2.5-flash"], 60),
|
|
(["-y"], 40),
|
|
]):
|
|
try:
|
|
code, out, err = run_cli(["gemini", *args, message], timeout=to)
|
|
except subprocess.TimeoutExpired:
|
|
if attempt == 0:
|
|
continue
|
|
return f"⏱ Gemini timed out.\n\nTry running `gemini \"{message[:60]}\"` directly.\n\n**Message:** {message[:100]}"
|
|
if code == 0:
|
|
return (out or "").strip() or f"**Gemini CLI**\n\nProcessed your query.\n\n**Message:** {message}"
|
|
err_msg = (err or "").strip()
|
|
if attempt == 0 and ("model" in err_msg.lower() or "not found" in err_msg.lower()):
|
|
continue
|
|
if "auth" in err_msg.lower() or "login" in err_msg.lower():
|
|
return f"**Gemini needs re-auth**\n\nRun `gemini auth login` to re-authenticate.\n\n**Details:** {err_msg[:200]}"
|
|
return err_msg or f"gemini returned exit code {code}"
|
|
return "Gemini CLI did not return a response."
|
|
|
|
else:
|
|
return f"Unknown agent: {agent}"
|
|
except subprocess.TimeoutExpired:
|
|
return f"⏱ Agent '{agent}' timed out.\n\nRun `{agent} --help` in your terminal for CLI usage.\n\n**Message:** {message[:100]}"
|
|
except FileNotFoundError:
|
|
return f"⚠ Agent '{agent}' CLI not installed. Install it and try again."
|
|
except Exception as e:
|
|
return f"⚠ Error communicating with {agent}: {str(e)}"
|
|
|
|
@app.post("/api/chat")
|
|
def chat(req: ChatRequest):
|
|
agent = req.agent.lower().strip()
|
|
if agent not in ["opencode", "hermes", "gemini"]:
|
|
raise HTTPException(400, "Agent must be one of: opencode, hermes, gemini")
|
|
|
|
user_msg = {
|
|
"id": str(uuid.uuid4())[:8],
|
|
"role": "user",
|
|
"agent": agent,
|
|
"content": req.message,
|
|
"timestamp": get_timestamp(),
|
|
}
|
|
save_chat_message(user_msg)
|
|
|
|
response_text = execute_agent(agent, req.message)
|
|
|
|
agent_msg = {
|
|
"id": str(uuid.uuid4())[:8],
|
|
"role": "assistant",
|
|
"agent": agent,
|
|
"content": response_text,
|
|
"timestamp": get_timestamp(),
|
|
}
|
|
save_chat_message(agent_msg)
|
|
|
|
append_audit({"action": "chat_message", "agent": agent, "msg_preview": req.message[:50]})
|
|
|
|
return {"status": "ok", "response": agent_msg}
|
|
|
|
@app.get("/api/chat/history")
|
|
def get_chat_history():
|
|
return load_chat_history()
|
|
|
|
# ─── Routes: Dashboard Static Files ──────────────────────────────
|
|
|
|
dashboard_dir = BASE_DIR / "dashboard"
|
|
if dashboard_dir.exists():
|
|
app.mount("/dashboard", StaticFiles(directory=str(dashboard_dir)), name="dashboard")
|
|
|
|
@app.get("/", response_class=HTMLResponse)
|
|
def index():
|
|
html_file = BASE_DIR / "dashboard" / "index.html"
|
|
if html_file.exists():
|
|
content = html_file.read_text()
|
|
content = content.replace('href="styles.css"', 'href="/dashboard/styles.css"')
|
|
content = content.replace('src="utils.js"', 'src="/dashboard/utils.js"')
|
|
content = content.replace('src="api.js"', 'src="/dashboard/api.js"')
|
|
content = content.replace('src="app.js"', 'src="/dashboard/app.js"')
|
|
content = content.replace('pages/', '/dashboard/pages/')
|
|
return HTMLResponse(content=content)
|
|
return HTMLResponse("<h1>Agentic OS</h1><p>Dashboard not built yet. Run <code>./install.sh</code> first.</p>")
|
|
|
|
# ─── Favicon ──────────────────────────────────────────────────────
|
|
|
|
FAVICON_SVG = '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><defs><linearGradient id="g" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" stop-color="#6c5ce7"/><stop offset="100%" stop-color="#fd79a8"/></linearGradient></defs><rect width="32" height="32" rx="8" fill="url(#g)"/><polygon points="16,6 24,11 24,21 16,26 8,21 8,11" fill="none" stroke="white" stroke-width="2" stroke-linejoin="round"/><circle cx="16" cy="16" r="3" fill="white"/></svg>'
|
|
|
|
@app.get("/favicon.ico")
|
|
def favicon():
|
|
return Response(content=FAVICON_SVG, media_type="image/svg+xml")
|
|
|
|
@app.get("/favicon.svg")
|
|
def favicon_svg():
|
|
return Response(content=FAVICON_SVG, media_type="image/svg+xml")
|
|
|
|
# ─── Main ─────────────────────────────────────────────────────────
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--port", type=int, default=8080)
|
|
parser.add_argument("--host", type=str, default="127.0.0.1")
|
|
args = parser.parse_args()
|
|
uvicorn.run(app, host=args.host, port=args.port)
|