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FabledCurator/agent/fc_agent/client.py
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feat(ml): operator model swap — GPU re-embed + embedder as a setting (#1190)
Make the SigLIP embedder an operator choice (drop-in to SigLIP 2:
google/siglip2-so400m-patch16-512 is a verified 1152-d model at 512px → no
schema change, better small-cue fidelity). A swap = set model + re-embed +
retrain, all operator-driven; the GPU agent does the re-embed so it's fast.

- settings: embedder_model_name is now a setting (migration 0065) alongside the
  existing embedder_model_version; both editable + validated (non-empty) in the
  ml admin API. The server embedder loads by HF name (AutoImageProcessor/Model,
  model-agnostic), preferring the pre-downloaded local dir for the default so
  existing deploys don't re-download; rebuilds on a name change.
- agent: new 'embed' job = whole-image SigLIP embedding (mean-pool video frames)
  under the lease-announced model → POST /jobs/submit_embedding writes
  image_record.siglip_embedding + siglip_model_version. The lease now announces
  the model FROM THE SETTING (not a constant).
- re-embed routing: enqueue_gpu_backfill('embed') selects unembedded + stale-
  version images; 'siglip' now re-embeds concept crops whose version != current
  (so a swap re-triggers crops, not just the never-embedded back-catalogue). The
  CPU ml-worker backfill no longer re-embeds on a version mismatch (it can't
  churn the library at 512px) — the GPU agent owns version re-embeds. Daily
  'embed' + 'siglip' beats self-heal.
- scoring: score_image only bags embeddings in the CURRENT model's space (whole-
  image gated by siglip_model_version, concept regions by embedding_version) so a
  mid-swap stale vector isn't scored by new-space heads; legacy NULL = current.
- UI: GpuAgentCard "Embedding model (advanced)" — edit name/version, Save, and
  "Re-embed library (GPU)" (queues embed + siglip); points at SigLIP 2.

Tests: lease announces model + submit_embedding round-trip; enqueue 'embed'
selects stale/unembedded; stale-version excluded from scoring; embedder model
settable + empty rejected; siglip gate updated to current-version concept.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
2026-06-30 10:24:30 -04:00

99 lines
3.4 KiB
Python

"""HTTP client for the FabledCurator GPU-job API.
The agent's ONLY contact with FC — lease/submit/heartbeat/fail + fetch image
bytes, all over HTTP with the bearer token. No DB/Redis.
"""
import requests
from requests.adapters import HTTPAdapter
class FcClient:
def __init__(self, base_url: str, token: str, agent_id: str):
self.base = base_url.rstrip("/")
self.agent_id = agent_id
self.s = requests.Session()
self.s.headers["Authorization"] = f"Bearer {token}"
# Many worker threads share this Session; the default pool (10) would
# throttle them + spam "connection pool is full". Size it for the cap.
adapter = HTTPAdapter(pool_connections=64, pool_maxsize=64)
self.s.mount("http://", adapter)
self.s.mount("https://", adapter)
def lease(self, batch_size: int) -> list[dict]:
r = self.s.post(
f"{self.base}/api/gpu/jobs/lease",
json={"agent_id": self.agent_id, "batch_size": batch_size},
timeout=30,
)
r.raise_for_status()
return r.json().get("jobs", [])
def submit(self, job_id: int, regions: list[dict], replace_kinds: list[str]) -> dict:
r = self.s.post(
f"{self.base}/api/gpu/jobs/submit",
json={
"agent_id": self.agent_id, "job_id": job_id,
"regions": regions, "replace_kinds": replace_kinds,
},
timeout=120,
)
r.raise_for_status()
return r.json()
def submit_embedding(self, job_id: int, embedding: list, version: str) -> dict:
"""Post a whole-image SigLIP embedding (the 'embed' task) → image_record."""
r = self.s.post(
f"{self.base}/api/gpu/jobs/submit_embedding",
json={
"agent_id": self.agent_id, "job_id": job_id,
"embedding": embedding, "embedding_version": version,
},
timeout=120,
)
r.raise_for_status()
return r.json()
def heartbeat(self, job_ids: list[int]) -> None:
try:
self.s.post(
f"{self.base}/api/gpu/jobs/heartbeat",
json={"agent_id": self.agent_id, "job_ids": job_ids},
timeout=30,
)
except requests.RequestException:
pass
def fail(self, job_id: int, error: str) -> None:
try:
self.s.post(
f"{self.base}/api/gpu/jobs/fail",
json={"agent_id": self.agent_id, "job_id": job_id, "error": error},
timeout=30,
)
except requests.RequestException:
pass
def release(self, job_ids: list[int]) -> None:
# Graceful hand-back on stop so orphaned work is re-leased at once.
if not job_ids:
return
try:
self.s.post(
f"{self.base}/api/gpu/jobs/release",
json={"agent_id": self.agent_id, "job_ids": job_ids},
timeout=30,
)
except requests.RequestException:
pass
def fetch_image(self, image_url: str) -> bytes:
# image_url is a server-relative path ("/images/...").
r = self.s.get(f"{self.base}{image_url}", timeout=180)
r.raise_for_status()
return r.content
def queue_status(self) -> dict:
r = self.s.get(f"{self.base}/api/gpu/status", timeout=15)
r.raise_for_status()
return r.json()