refactor(agent): replace the per-step advice seam with agent/session-prefix
Review discussion converged on the industry shape (Claude Code caches user context per conversation; Codex separates initial context from diffs; Kimi appends at continuation boundaries to protect prompt caching): stable openers belong in a compose-once prefix, mid-session changes belong in append-only history — not in a per-request slot. agent/session-prefix fires ONCE per loop instance, lazily on its first request-building step: the composed Message[] is deep-frozen, cached on the transmission bookkeeping, recorded as EpochHeader.messagePrefix on the anchoring 'initial'/'resume' snapshot, and reused verbatim for every request the instance sends — prefix stability is structural, not a producer discipline, and a resume recomposes with attributable drift. The request is messagePrefix + boundary snapshot. The per-step RequestAdvice/RequestAdviceContext surface and the messageSuffix header field are dropped: the tail slot had no consumer, and every current update pattern (new AGENTS.md discovered, memory update, skills change) routes through the existing append-only history channels — inject(), tools/post-execute additionalContext, prompt-submit additionalContext — each paid once and prefix-cached thereafter. The messagePrefix delta arm stays for codec totality; the loop never produces one in practice.
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@@ -59,10 +59,10 @@ forever:
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boundary = session.deriveMessages() ⟵ reconstruction boundary: same sync frame,
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session('step/start') strictly before step/start
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config = waterfall agent/request ⟵ frozen seed; return a replacement to switch
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reqMsgs = waterfall agent/request-advice ⟵ request-only before/after messages; recorded
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on the header, never session history
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prefix ??= waterfall agent/session-prefix ⟵ once per instance (first request): frozen
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session prefix; on the header, never history
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session('request/header'[-delta]) ⟵ the header event this request owes the log
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stream llm.stream(freeze({header..., messages: before+boundary+after})) → session('assistant/chunk')
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stream llm.stream(freeze({header..., messages: prefix+boundary})) → session('assistant/chunk')
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message = waterfall agent/step-result
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session('assistant/message')
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each tool-call: session('tool/call')
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@@ -86,7 +86,7 @@ Cancellation: `agent.cancel()` is the single public stop primitive — it clears
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### What is NOT here
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Everything that goes beyond "call the model, run the tools, repeat" belongs to plugins listening on the event taxonomy:
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- Hooks: `agent/session-start`, `agent/prompt-submit`, `agent/pre-step`, `agent/request`, `agent/request-advice`, `agent/step-result`, `tools/pre-execute`, `tools/post-execute`, `agent/turn-continuation`
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- Hooks: `agent/session-start`, `agent/prompt-submit`, `agent/pre-step`, `agent/request`, `agent/session-prefix`, `agent/step-result`, `tools/pre-execute`, `tools/post-execute`, `agent/turn-continuation`
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- Compaction: `agent/pre-step`
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- Sandbox, permission, plan mode: `tools/pre-execute` (deny/ask gate), `tools/post-execute`
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- Sub-agents: implemented outside the loop as `ctx.subagents` providers; in-process providers use `ctx.agents.create()` and owned `AgentHandle` teardown, while child streaming/progress and background/poll collection remain deferred.
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