Commit Graph
4 Commits
Author SHA1 Message Date
host 63823fc2e3 逐任务真实成本:上游用量事件 + 价目表计价
此前每任务只记一条 estimated(字符数/4,金额为空),注释称
host 协议不暴露真实 token 数。本轮实测推翻了该前提:
- account/usage/read 在中继上是死的(要求 ChatGPT 账号登录),
  不是来源,已在 cost.py docstring 写明死胡同
- app-server 每上游补全发 thread/tokenUsage/updated,last 是该次
  补全的用量;中继 5 调用回合实测 last 之和等于最后 total
  (input/output/cached/reasoning 四路都对得上)

实现:host.py run_turn 从事件窗口按 threadId+turnId 汇总用量,
重试/goal 各轮累加,dispatch/run JSON 与 goal 用量行透传;
sandbox 三路解析(dispatch JSON 解析改用完整 stdout,顺带修
了长 text 下 failed 被误判 completed 的潜 bug);worker 每任务
记一条 actual(重试/fallback 用量累加进同一条),无用量时回落
estimated;cost.py 价目表(默认 OpenAI 挂牌价,env 可覆盖,
无价模型 usd 记 None、报表进 unpriced_actual_tokens 而非 0 美元),
cost_records 加 cached_input_tokens 列(SQLite/PG 两支迁移);
报表与按天行新增 cached_input_tokens/unpriced_actual_tokens。
测试:host 32、cloud 483 全过。
2026-10-26 18:41:27 +08:00
host d51c06a900 Worker concurrency (capacity enforced), survival (heartbeat/sweep/drain), retry endpoint
1. Concurrency: capacity is now a real limit, not display-only.
   run_all with capacity>1 runs a manual thread pool (threading,
   not concurrent.futures: a test in this repo puts cloud/ on
   sys.path, shadowing stdlib queue and breaking
   concurrent.futures' SimpleQueue import). Claim stays CAS, so
   two threads racing one task still yield one owner; max_tasks
   counts dispatched+running to avoid overshoot; stop signals
   stop new claims only, running tasks are drained by run_loop.
   Running state moved from single fields to a _running dict
   (proc/container per task) so cancel kills the right task.
   Docker timeout is now a per-call argument, never a mutated
   shared executor field. CostStore opens a fresh connection per
   record/report (shared sqlite connection is thread-bound and
   raised ProgrammingError under the pool; :memory: keeps the
   shared connection because a fresh one is an empty DB).
   Final status write is CAS on status='running' so a background
   thread cannot overwrite an interrupted task with completed.
2. Survival: run_loop starts a daemon heartbeat thread (every
   30s, refreshes running tasks' last_heartbeat) and sweeps stale
   tasks every round (threshold 300s, best-effort); live tasks
   never go stale now, dead workers' tasks are reclaimed without
   manual /admin/sweep. On exit, run_loop waits up to
   drain_timeout (CLI --drain-timeout, default 60s, inside
   systemd's 90s stop window) for running tasks before killing
   leftovers and marking interrupted.
3. Retry: POST /tasks/{id}/retry (maintainer+, 404/403/409):
   failed/interrupted/merge-failed go back to queued with
   result/error/model cleared, prompt/model/deps kept, CAS
   update, audit task_retried.
Tests: 5 concurrency tests (barrier overlap, serial capacity=1,
max_tasks, wait_for_running, CAS final write), 3 retry tests;
full suites pass.
2026-10-26 06:46:20 +08:00
host 631580beab cloud: production gaps (worker loop + true cancel, task result columns + migration, DB interface migration, metrics + backup) 2026-10-26 01:53:33 +08:00
host b74d99e959 cloud: production control plane (API, auth/RBAC, queue, sandbox, memory/KB, fallback/cost, webhooks) 2026-10-26 01:23:21 +08:00