fix(chat): resolve Auto-route failover event-loop freeze (#812)

Root cause: ensure_structured_column() executed a synchronous blocking
engine.connect().execute(SELECT information_schema.columns ...) inside the
async request path (_build_chat_history / _maybe_compress_history), freezing
the uvicorn event loop and hanging all endpoints (~200s, recovered only by
docker restart).

Fix:
- chat_context.py: remove per-request ensure_structured_column() calls; run
  once idempotently at app startup (main.py lifespan). Use CURRENT_DATABASE()
  for PostgreSQL compatibility.
- main.py: add startup-only ensure_structured_column() hook (try/except).
- llm_client.py: trust_env=False + bounded httpx.Timeout/wait_for so broken
  endpoints fail fast instead of hanging the event loop.
- chat_service.py: run media generation in a background daemon thread with its
  own event loop (_launch_media_task_bg) so SSE end does not cancel image/video
  tasks (#811); remove TEMP faulthandler diagnostic.

Safe-align: persist accumulated live container changes (admin/*, knowledge,
market, models, config, observability, mcp_client, platform_knowledge,
im_bot_platform, chat_media, capability_registry, requirements) and add
workflow_templates.

Verified: live failover test (model-006 -> conn-refused) returns in ~1.9s with
concurrent login 0.83s/200; event-loop responsiveness restored (sub-second).
This commit is contained in:
QihuAI Design committed 2026-07-26 00:35:35 +08:00
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version: "1.0"
name: "Multi-Agent Debate"
description: "Two agents debate a topic from opposing perspectives, then a judge agent synthesizes the conclusion."
category: creativity
nodes:
- id: proponent
type: llm
description: "Argue in favor of the proposition"
on_error: continue
config:
model: auto
system_prompt: "You are a skilled debater. Argue strongly IN FAVOR of the given proposition. Use logic, evidence, and persuasive reasoning. Be passionate but fair."
- id: opponent
type: llm
description: "Argue against the proposition"
on_error: continue
config:
model: auto
system_prompt: "You are a skilled debater. Argue strongly AGAINST the given proposition. Use logic, evidence, and persuasive reasoning to find flaws in the proponent's case."
- id: judge
type: llm
description: "Evaluate both sides and reach a conclusion"
on_error: continue
config:
model: auto
system_prompt: "You are an impartial judge. Evaluate both arguments fairly. Identify the strongest points from each side. Provide a balanced conclusion and recommendation."
edges:
- from: proponent
to: judge
- from: opponent
to: judge