Files
curriculum-project-hub/docs/adr/0017-agent-session-is-provider-bound.md
T
hongjr03 f8c3e16a52 feat(hub): 事件去重(A-4) + 审计写入路径(A-8)
A-4 FeishuEventReceipt:
- 新增 FeishuEventReceipt 表(eventId @unique),lark ws 至少一次投递的幂等兜底
- MessageReceiveEvent 加 header.event_id 字段
- trigger 入口查重:已存在的 event_id → 跳过(不建第二次 run)
- resetDb 加入 FeishuEventReceipt

A-8 审计写入:
- AuditEntry 加 projectId(权限拒绝/slash 命令等无 run 的审计点可定位)
- 新建 src/audit.ts:writeAudit(prisma, entry) best-effort 写入(吞错,不阻断 trigger)
- trigger 五个审计点:trigger.denied / trigger.role_denied / run.created / run.lock_race / run.finished / run.failed
- 新增 audit unit 测试(3) + trigger 集成测试(去重 + 审计,2)

59 tests 全过。
2026-07-07 21:34:15 +08:00

51 lines
2.3 KiB
Markdown

# ADR 0017: AgentSession Is Provider-Bound
## Status
Accepted.
## Context
ADR-0002 says a long-lived `AgentSession` can be reused by many runs, but never
addressed the provider/model dimension. The agent layer is provider-agnostic
(ADR-0001..0003 never required Claude specifically; the `@Claude` trigger name
is a product brand, not a provider commitment). In practice the Hub routes
model calls through an OpenAI-compatible client (e.g. OpenRouter), so a run may
target different models — and the motivation for multi-model is **role-based
routing**: drafting, reviewing, and triage suit different models.
That raises the question ADR-0002 left open: when a teacher switches model
mid-project, does the `AgentSession` carry live context across the switch, or
is it bound to a single provider/model?
## Decision
An `AgentSession` is **provider/model-bound**. A model or provider switch
starts a new `AgentSession`. The `AgentSession` does not carry live context
across a switch.
Cross-session continuity is not the session's job — it is carried by ADR-0003's
project memory and anchors, which the Hub reads on demand when seeding a new
run. This keeps B consistent with ADR-0003 ("the Hub avoids becoming a full
chat history store"): session continuity and history continuity are the same
mechanism, both via memory/anchors, never via a live cross-provider session.
Per-run model selection (the run carries its model) is the switching point.
## Consequences
- Switching model mid-project = new session; the new run seeds from project
memory/anchors (ADR-0003), not the prior session's live context.
- The agent layer is provider-agnostic: model calls go through an
OpenAI-compatible client, and the tool-calling loop is delegated to the
Vercel AI SDK (`generateText` + `tool`). The provider seam is the SDK's
`LanguageModel` interface, not a hand-rolled loop; swapping provider is
swapping the `createOpenAICompatible` factory, not rewriting the loop. No
hard dependency on a single-vendor agent SDK.
- Role-based model routing (different run kinds default to different models) is
a product/admin configuration concern, not a spec invariant.
- "AgentSession reused by many runs" (ADR-0002) holds *within* one
provider/model; it does not span a switch.
- The `@Claude` trigger name remains the product mention brand regardless of the
backing model.