AgentEvalTool/backend/agenteval/storage
sinohqb 15c542d92c feat(analysis): two-phase campaign analysis agent with storage and API
Add the analysis role's execution path: a two-phase orchestration
(per-scenario diagnosis gathered in parallel, then a synthesis pass)
that reads the existing campaign report aggregation plus capped failure
samples, validates the LLM's JSON against the report schema, and strips
fabricated run/scenario references before persisting. Results upsert one
row per campaign (generating/completed/failed) with the model config
snapshot; GET/POST /api/campaigns/{id}/analysis expose the state machine,
guarding non-terminal campaigns and missing analysis models with 400s.
2026-08-03 02:06:29 +08:00
..
__init__.py v0.2.0-dev: 文件管理 + 页面布局统一 + 6 个 bug 修复 2026-07-16 15:25:22 +08:00
db.py feat(analysis): two-phase campaign analysis agent with storage and API 2026-08-03 02:06:29 +08:00
file_repository.py refactor(files): harden storage and split frontend 2026-07-17 17:41:19 +08:00
file_storage.py refactor(files): harden storage and split frontend 2026-07-17 17:41:19 +08:00
model_config_repository.py feat(analysis): two-phase campaign analysis agent with storage and API 2026-08-03 02:06:29 +08:00
repository.py feat(analysis): two-phase campaign analysis agent with storage and API 2026-08-03 02:06:29 +08:00