Previously, only timeout and network errors (matched via string
patterns) were retried. HTTP 500 server errors from
OpenRouter/OpenAI-compatible providers would fail the agent turn
immediately when no model fallback candidate was available.
This commit replaces the separate timeout/network retry branches
with a unified transientLLMRetryReason() helper that:
1. Uses providers.ClassifyError() to detect server_error (HTTP >=500),
timeout, network, and rate_limit errors
2. Falls back to the existing string-based detection for errors
not classified by the provider
A regression test (TestPipeline_CallLLM_HTTP5xxRetry) verifies that
HTTP 500 errors are retried and recover successfully.
This is a clean rebase of the approach originally proposed in #2768
by afjcjsbx.
- Persistence layer (jsonl.go addMsg/SetHistory) normalizes CreatedAt
when missing so the invariant is guaranteed at the storage boundary
- API layer (session.go) exposes created_at on all transcript message
types with session.updated fallback for legacy messages
- Frontend uses per-message timestamps when available
- messagesContentEqual ignores CreatedAt for tail-matching after
JSONL roundtrip
Fixes#2787
* feat: add request-scoped context policies
Add named turn profiles under agents.defaults so callers can opt into
per-request context and tool policies without changing default chat behavior.
Profiles can disable history, system context, skill prompts, or tools, and can
limit skills/tools with allow lists. Wire profile selection through Pico message
payloads, agent turn execution, Web chat selection, and Web visual config.
Reject invalid turn profiles before saving config through Web APIs and document
the new request context policy behavior.
* fix: address turn profile review blockers
* feat: simplify request context policy config
* fix: suppress tool prompt when turn tools are disabled
* fix: enforce turn profile tool restrictions
* feat(chat,seahorse): persist and display model_name across history
* test(seahorse): fix lint regressions in repair coverage
* fix(pico): preserve model_name in live updates
* fix(pico): preserve model_name through live stream wrappers
* Support streaming
* fix: stream pico reasoning updates
Route Pico reasoning through the active streamer and hide empty thought placeholders.
* fix: harden configured streaming delivery
* fix ci
* fix split issue
程智超0668000959