feat(platform): live-wire AGB v2 + DSE v3 + Architektur-Tab (#29)
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AGB v2 (decision_method routing, 71%FP->~0) + DSE v3 (4-layer, recovered from container) + Architektur-Tab into /sdk/agent live path. Incl CI robustness (detect-changes.sh + PR-head checkout) + security (hardcoded Qdrant key removed, gitleaks allowlist).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit was merged in pull request #29.
This commit is contained in:
2026-06-21 12:58:26 +00:00
parent 6b9c7984b4
commit 38a347a82a
44 changed files with 3861 additions and 104 deletions
@@ -13,6 +13,7 @@ the map). Once the tabs are the source of truth, B18's v1 path retires.
from __future__ import annotations
import asyncio
import logging
from compliance.services.specialist_agents import REGISTRY, AgentInput
@@ -27,6 +28,8 @@ logger = logging.getLogger(__name__)
# topic key (matches state["doc_texts"]) -> registered agent_id
_TOPIC_AGENTS: dict[str, str] = {
"impressum": "impressum",
"agb": "agb", # v2: AGBAgent mit decision_method-Routing (71% FP -> ~0)
"dse": "dse", # v3: 4-Layer (Regex-Boost/Keyword/BGE-M3-Recall/Semantic)
}
_MIN_TEXT = 100
@@ -112,14 +115,17 @@ async def run_agent_outputs(state: dict) -> None:
)
outputs: dict[str, dict] = state.get("agent_outputs") or {}
for topic, agent_id in _TOPIC_AGENTS.items():
async def _run_one(topic: str, agent_id: str):
"""Einen Topic-Agent laufen lassen + sein Tab-Event sofort emittieren
(Zwischenbefund). Fängt eigene Fehler → ein Agent reißt den Run nicht ab."""
text = (doc_texts.get(topic) or "").strip()
if len(text) < _MIN_TEXT:
continue
return None
agent = REGISTRY.get(agent_id)
if agent is None:
logger.warning("agent_outputs: agent '%s' not registered", agent_id)
continue
return None
try:
out = await agent.evaluate(AgentInput(
doc_type=topic,
@@ -128,15 +134,25 @@ async def run_agent_outputs(state: dict) -> None:
company_name=company_name,
origin_domain=origin_domain,
))
outputs[topic] = out.model_dump(mode="json")
emit(check_id, {"type": "topic", "topic": topic,
"output": outputs[topic]})
dump = out.model_dump(mode="json")
emit(check_id, {"type": "topic", "topic": topic, "output": dump})
logger.info(
"agent_outputs[%s]: %d findings, confidence %.2f",
topic, len(out.findings), out.confidence,
)
return topic, dump
except Exception as e: # noqa: BLE001 — best-effort, never break the run
logger.warning("agent_outputs[%s] failed: %s", topic, e)
return None
# Topic-Agenten laufen NEBENLÄUFIG (ihre Embedding-/LLM-Waits überlappen) und
# füllen ihren Tab via SSE, sobald sie fertig sind — kein Warten aufs Schlusslicht.
results = await asyncio.gather(
*(_run_one(topic, agent_id) for topic, agent_id in _TOPIC_AGENTS.items())
)
for r in results:
if r:
outputs[r[0]] = r[1]
if outputs:
state["agent_outputs"] = outputs