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4554903 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 | """Rivet — Kintsugi-based code assistant for the Multiverse Campus.
Not a chat wrapper: every request becomes a BDI intention, compiles to a
SkillDAG, executes through evidence-gathering chips, and terminates in
the discipline gate. See ARCHITECTURE.md.
Usage:
python rivet.py # serve on config port (8100)
python rivet.py --port 8200
python rivet.py --ask "..." [--user t] # one-shot CLI
python rivet.py --show-bdi # dump seeded beliefs
"""
import argparse
import asyncio
import json
import sys
import time
import uuid
from http.server import BaseHTTPRequestHandler, HTTPServer
from pathlib import Path
V2_ROOT = Path(__file__).parent
sys.path.insert(0, str(V2_ROOT))
from kintsugi_core import ( # noqa: E402
KINTSUGI_SOURCE,
BDIStore,
DAGExecutor,
SkillContext,
SkillRegistry,
)
from engine.beliefs import refresh_git_belief, seed_bdi # noqa: E402
from engine.config import load_config # noqa: E402
from engine.model_client import build_client # noqa: E402
from engine.planner import Planner # noqa: E402
from engine.session import SessionManager # noqa: E402
from engine.synthesis import SynthesisChip # noqa: E402
from pharos.pack_loader import load_router # noqa: E402
from skills.code_analysis import CodeAnalysisChip # noqa: E402
from skills.discipline_gate import DisciplineGateChip # noqa: E402
from skills.migration_safety import MigrationSafetyChip # noqa: E402
from skills.security_review import SecurityReviewChip # noqa: E402
from skills.test_runner import TestRunnerChip # noqa: E402
from tools.file_tools import RepoFiles # noqa: E402
from tools.git_tools import GitTools # noqa: E402
from tools.schema_tools import SchemaTools # noqa: E402
from tools.test_tools import TestTools # noqa: E402
class RivetAgent:
def __init__(self, config_path: Path | str | None = None,
model_client=None):
cfg_path = Path(config_path or V2_ROOT / "kintsugi_config.yaml")
self.config = load_config(cfg_path)
paths = self.config.get("paths", {}) or {}
self.context_dir = (cfg_path.parent / paths.get(
"context_dir", "../context")).resolve()
# --- BDI ------------------------------------------------------
org_id = self.config.get("org", {}).get("id", "multiverse_school")
self.bdi = BDIStore(org_id)
seed_bdi(self.bdi, self.config, self.context_dir)
# --- tool harness ---------------------------------------------
repo = paths.get("campus_repo") or ""
self.repo_files = None
self.git_tools = None
if repo and Path(repo).is_dir():
write_enabled = bool(
(self.config.get("tools") or {}).get("repo_write_enabled"))
self.repo_files = RepoFiles(repo_root=repo,
write_enabled=write_enabled)
self.git_tools = GitTools(repo_root=repo)
refresh_git_belief(self.bdi, repo, self.context_dir)
self.schema_tools = SchemaTools(
self.context_dir,
dsn=paths.get("campus_dsn") or "",
migrations_dir=paths.get("migrations_dir") or "",
)
self.test_tools = TestTools(repo_root=repo)
# --- model + pharos -------------------------------------------
model_cfg = self.config.get("model", {}) or {}
self.model = model_client or build_client(model_cfg)
pharos_cfg = self.config.get("pharos", {}) or {}
packs_dir = (cfg_path.parent / pharos_cfg.get(
"packs_dir", "../packs")).resolve()
self.pharos = load_router(
packs_dir,
match_threshold=float(pharos_cfg.get("match_threshold", 0.30)),
source_threshold=float(pharos_cfg.get("source_threshold", 0.55)),
max_packs=int(pharos_cfg.get("max_packs", 2)),
)
# --- skills ----------------------------------------------------
self.registry = SkillRegistry()
self.registry.register(CodeAnalysisChip(self.repo_files, self.git_tools))
self.registry.register(MigrationSafetyChip(self.schema_tools))
self.registry.register(SecurityReviewChip(self.repo_files))
self.registry.register(SynthesisChip(
self.model, self.bdi, self.pharos,
max_tokens=int(model_cfg.get("max_answer_tokens", 1536)),
))
self.registry.register(TestRunnerChip(self.test_tools))
self.registry.register(DisciplineGateChip(self.bdi))
# --- planning + execution + sessions ---------------------------
self.planner = Planner(self.bdi, self.registry)
self.executor = DAGExecutor(self.registry, max_parallel=4)
sess_cfg = self.config.get("session", {}) or {}
self.sessions = SessionManager(
ttl_seconds=int(sess_cfg.get("ttl_seconds", 3600)),
rate_limit_per_hour=int(sess_cfg.get("rate_limit_per_hour", 60)),
)
self.org_id = org_id
# ------------------------------------------------------------------
def ask(self, question: str, user: str = "anonymous") -> dict:
t0 = time.time()
question = (question or "").strip()
if not question:
return {"error": "empty question"}
if not self.sessions.check_rate_limit(user):
return {"error": "rate limit exceeded — try again later",
"user": user}
session = self.sessions.get(user)
plan = self.planner.form_plan(question, user)
intention = self.bdi.get_intention(plan.intention_id)
context = SkillContext(
org_id=self.org_id,
user_id=user,
session_id=f"{user}:{int(session.created_at)}",
metadata={
"question": question,
"session": session,
"belief_ids": intention.belief_ids if intention else [],
},
)
result = asyncio.run(self.executor.execute(
plan.dag, context, initial_artifacts={"question": question},
))
final = result.artifacts.get("final") or {}
ok = result.success and bool(final.get("text"))
self.planner.complete_plan(plan.intention_id, ok)
if not final.get("text"):
errors = result.node_errors or {"pipeline": "no final artifact"}
return {
"error": "plan execution failed",
"node_errors": errors,
"intent": plan.intent,
"plan": plan.rationale,
"elapsed_seconds": round(time.time() - t0, 1),
}
session.add_turn("user", question)
session.add_turn("rivet", final["text"][:1000])
return {
"response": final["text"],
"gate_passed": final.get("passed", False),
"confidence": final.get("confidence", "LOW"),
"flags": final.get("flags", []),
"requires_review": final.get("requires_review", []),
"beliefs_consulted": final.get("beliefs_consulted", []),
"intent": plan.intent,
"plan": plan.rationale,
"packs_used": (result.artifacts.get("draft") or {}).get(
"packs_used", []),
"files_read": sorted(session.files_read),
"user": user,
"elapsed_seconds": round(time.time() - t0, 1),
}
def health(self) -> dict:
return {
"status": "ok",
"agent": self.config.get("org", {}).get("agent_name", "Rivet"),
"kintsugi_source": KINTSUGI_SOURCE,
"model_backend": self.config.get("model", {}).get("backend"),
"model": self.config.get("model", {}).get("name"),
"skills": self.registry.list_names(),
"beliefs": len(self.bdi.list_beliefs()),
"packs": [p.name for p in self.pharos.library.packs],
"repo_attached": self.repo_files is not None,
"sessions": self.sessions.stats(),
}
def bdi_snapshot(self) -> dict:
snap = self.bdi.get_snapshot()
return {
"org_id": snap.org_id,
"beliefs": [
{"id": b.id, "confidence": b.confidence,
"source": b.source, "tags": b.tags,
"content": b.content[:200]}
for b in snap.beliefs
],
"desires": [
{"id": d.id, "priority": d.priority, "content": d.content}
for d in snap.desires
],
"intentions_active": len([
i for i in snap.intentions if i.status.value == "active"
]),
"intentions_total": len(snap.intentions),
}
# ----------------------------------------------------------------------
def make_handler(agent: RivetAgent):
model_name = (agent.config.get("model") or {}).get("name", "rivet")
class Handler(BaseHTTPRequestHandler):
def do_POST(self):
try:
length = int(self.headers.get("Content-Length", 0))
body = json.loads(self.rfile.read(length)) if length else {}
except (json.JSONDecodeError, ValueError):
return self._json({"error": "invalid JSON body"}, 400)
if self.path == "/ask":
result = agent.ask(body.get("question", ""),
body.get("user", "anonymous"))
self._json(result, 200 if "error" not in result else 422)
elif self.path == "/v1/chat/completions":
self._openai_chat(body)
else:
self._json({"error": f"unknown endpoint {self.path}"}, 404)
def _openai_chat(self, body: dict):
messages = body.get("messages", [])
if not messages:
return self._json({"error": {"message": "messages required",
"type": "invalid_request_error"}}, 400)
question = messages[-1].get("content", "")
user = body.get("user", "ide")
result = agent.ask(question, user)
if "error" in result:
return self._json({"error": {"message": result["error"],
"type": "server_error"}}, 500)
text = result.get("response", "")
prompt_chars = sum(len(m.get("content", "")) for m in messages)
self._json({
"id": f"chatcmpl-{uuid.uuid4().hex[:24]}",
"object": "chat.completion",
"created": int(time.time()),
"model": model_name,
"choices": [{
"index": 0,
"message": {"role": "assistant", "content": text},
"finish_reason": "stop",
}],
"usage": {
"prompt_tokens": prompt_chars // 4,
"completion_tokens": len(text) // 4,
"total_tokens": (prompt_chars + len(text)) // 4,
},
})
def do_GET(self):
if self.path == "/health":
self._json(agent.health())
elif self.path == "/bdi":
self._json(agent.bdi_snapshot())
elif self.path == "/v1/models":
self._json({"object": "list", "data": [{
"id": model_name, "object": "model",
"owned_by": "rivet",
}]})
else:
self._json({"endpoints": {
"POST /ask": '{"question": "...", "user": "..."}',
"POST /v1/chat/completions": "OpenAI-compatible chat API",
"GET /v1/models": "available models",
"GET /health": "status + loaded skills/packs/beliefs",
"GET /bdi": "current belief/desire/intention state",
}})
def _json(self, data, status=200):
payload = json.dumps(data, indent=2, default=str).encode()
self.send_response(status)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(payload)))
self.end_headers()
self.wfile.write(payload)
def log_message(self, fmt, *args):
print(f"[rivet] {args[0] if args else ''}", flush=True)
return Handler
def main() -> None:
ap = argparse.ArgumentParser(description="Rivet code assistant (Kintsugi v2)")
ap.add_argument("--config", default=str(V2_ROOT / "kintsugi_config.yaml"))
ap.add_argument("--port", type=int, default=0)
ap.add_argument("--ask", help="one-shot question, print JSON and exit")
ap.add_argument("--user", default="cli")
ap.add_argument("--show-bdi", action="store_true")
args = ap.parse_args()
agent = RivetAgent(args.config)
if args.show_bdi:
print(json.dumps(agent.bdi_snapshot(), indent=2, default=str))
return
if args.ask:
print(json.dumps(agent.ask(args.ask, args.user), indent=2, default=str))
return
port = args.port or int(
(agent.config.get("server") or {}).get("port", 8100))
health = agent.health()
server = HTTPServer(("0.0.0.0", port), make_handler(agent))
print(f"Rivet v2 listening on :{port}", flush=True)
print(f" kintsugi: {health['kintsugi_source']}", flush=True)
print(f" model: {health['model_backend']}:{health['model']}", flush=True)
print(f" skills: {', '.join(health['skills'])}", flush=True)
print(f" beliefs: {health['beliefs']} packs: {health['packs']}", flush=True)
print(f" repo: {'attached' if health['repo_attached'] else 'not on this machine'}", flush=True)
try:
server.serve_forever()
except KeyboardInterrupt:
print("\nRivet shutting down.", flush=True)
server.shutdown()
if __name__ == "__main__":
main()
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