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https://github.com/deepseek-ai/deepseek-harness
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Merge pull request #37 from deepseek-ai/feat/acp-1-max-tokens-turn-end
feat(agent-loop): surface max-tokens as a distinct turn-end reason
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@@ -131,6 +131,8 @@ In the **core** packages (`packages/llm`, `packages/tools`, `packages/agent`, `p
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Verbose documentation is fine **as long as docs and code stay strictly in sync**. Out-of-sync docs are worse than no docs. **When you change code, update its docs in the SAME change** — grep the package README and the module/JSDoc comments for the old behavior (config keys, defaults, error codes, wire field names, event names) and fix every hit. CI runs `pnpm run doc-sync` (`doc-typecheck` + `verify-event-taxonomy` + `verify-md-wrap`), which typechecks every fenced `ts` block in `README.md`, `docs/**/*.md`, and `packages/*/README.md`, verifies the event-taxonomy table against source, and asserts no hard-wrapped prose paragraphs across those files plus `AGENTS.md` / `packages/AGENTS.md` — but that scope does NOT catch prose drift in `AGENTS.md` / `packages/AGENTS.md` / `packages/README.md` (config keys, defaults, error codes), so keeping those in sync remains on the author. Every module has a module-level doc comment explaining its role. Every exported class, interface, type, function, and non-obvious method has a JSDoc that explains semantics (not just the name) — contracts (what events fire when), disposal behavior, error behavior, and extension intent. Internal helpers get docs only where non-obvious. Prefer one-liners when one line suffices.
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**Write an ADR when — and only when — a PR makes a decision that is durable, contested, and surprising.** ADRs (`docs/adr/`) record the *why* behind choices a future reader would otherwise re-litigate (the vendoring policy, event-sourcing, the schema DSL are the existing examples). A PR that introduces such a decision — a new third-party runtime dependency over the vendoring default, a cross-package contract, a security/isolation model, a deviation from a documented architecture rule — writes the ADR **in the same PR**, and links it from the relevant code/RFC. A PR whose changes are mechanical, self-evident, or already covered by an existing ADR/RFC needs none — do not manufacture an ADR for a routine change. When unsure, the test is: would a competent maintainer six months from now ask "why was it done this way?" and be unable to answer from the code alone? If yes, write it.
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**Markdown is not hard-wrapped**: write one line per paragraph and let the editor soft-wrap. Hard line breaks mid-paragraph make docs harder to edit and diff — a one-word change reflows and re-diffs the whole paragraph. This applies to prose only: leave fenced code blocks, tables, and list structure intact (a wrapped list item folds to one line per bullet). Code comments / JSDoc are exempt — they stay under the linter's column limit. `pnpm run verify-md-wrap` (part of `doc-sync`) enforces this across `README.md`, `docs/**/*.md`, `packages/*/README.md`, and `AGENTS.md` / `packages/AGENTS.md`.
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**Editing these instructions**: `AGENTS.md` is the real file; `CLAUDE.md` is a symlink to it (at the repo root and in `packages/`). Always edit `AGENTS.md` — never write through the `CLAUDE.md` symlink or replace it with a regular file.
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@@ -155,6 +155,8 @@ forever:
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Error containment: a throwing `agent/turn-continuation` listener or a broken step ends the **turn** with an `error` event (appended INSIDE the turn, before `turn/end`) — never the driver loop. An adapter that ends its stream with a `finish {kind:'error'}` or `{kind:'aborted'}` chunk (the in-band error path, for adapters that can't throw mid-stream) is likewise translated into a step error, so the turn ends `error`/`aborted` instead of logging a normal `completed` assistant message. `abort()` is honored mid-stream **and** between tool calls; disposal mid-turn ends the turn with reason `disposed` and emits `agent/status('disposed')`.
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Turn-end reasons: a turn ends with one `TurnEndReason` — `completed`, `aborted`, `error`, `disposed`, or `max-tokens`. `max-tokens` mirrors the model-call `FinishReason` of the same name (DeepSeek's `length`): a step that hit the output-token ceiling makes the turn end `max-tokens` rather than `completed`, by the rule *any `max-tokens` step in the turn surfaces as `max-tokens`* (a continuation plugin may run further steps after one, but the cut-short fact wins; the `disposed`/`aborted`/`error` outcomes still take precedence). This lets a consumer distinguish a clean stop from a truncated one (the ACP bridge maps it to the `max_tokens` stop reason). `TurnEndReason` is merge-extensible; `refusal` and `max_turn_requests` are the next variants to add when an adapter/loop first emits them.
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A failure that happens once the turn is already closed has no in-turn position for a session `error` event (appending one after `turn/end` would put it past the persistence commit boundary, where it is dropped as a crash tail — ADR 0017). So a rejecting `session/flush` (the post-`turn/end` durability checkpoint) and a throwing `agent/turn-end` listener are reported via `agent/error` + the logger only, NOT as a session event; the turn stays balanced and the persistence backend keeps its buffered events for the next flush.
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**Turn-enclosure invariant**: every session event lives inside a turn (between a `turn/start` and its `turn/end`). The loop appends queued `user/message` events *after* `turn/start`, and an idle `agent.inject()` wraps its `context/message` in a one-shot `injection` turn. This makes the turn the single durability/replay boundary: a persistence backend can treat anything after the last `turn/end` as an interrupted-crash tail without risking the loss of legitimately-recorded between-turn context. The `dsh-invariants` plugin enforces it in dev (a message event outside an open turn throws). See ADR 0017.
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@@ -64,7 +64,7 @@ forever:
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idle unless more queued
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```
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Error containment: a throwing plugin ends the **turn**, never the loop. Dispose mid-turn emits `agent/status('disposed')` and ends with reason `disposed`.
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Error containment: a throwing plugin ends the **turn**, never the loop. Dispose mid-turn emits `agent/status('disposed')` and ends with reason `disposed`. A step that hits the model's output-token ceiling makes the turn end `max-tokens` (the rule: any `max-tokens` step in the turn surfaces as `max-tokens`; `disposed`/`aborted`/`error` still take precedence) — distinct from a clean `completed` stop.
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### What is NOT here
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@@ -71,6 +71,31 @@ function errorData(err: CodedError): { message: string; code?: string } {
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return { message: err.message, ...typeof err.code === 'string' ? { code: err.code } : {} }
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}
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/**
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* The turn-end contribution of a step's *successful* finish, or `undefined`
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* when the step finished ordinarily (a plain `completed`).
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*
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* {@link finishError} has already converted `error`/`aborted` finishes into
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* thrown step errors, so the finishes that reach here are `stop`,
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* `tool-calls`, `max-tokens`, or a future merge-extensible kind. Only
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* `max-tokens` carries forward as a distinct {@link TurnEndReason}: a step that
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* hit the output-token ceiling ended the turn cut-short rather than by the
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* model's choice. `stop`/`tool-calls`/unknown kinds contribute nothing beyond
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* the default `completed`. {@link runTurn} applies this with the rule "any
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* `max-tokens` step in the turn makes the turn end `max-tokens`".
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*/
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function stepFinishReason(finish: FinishReason): TurnEndReason | undefined {
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switch (finish.kind) {
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case 'max-tokens':
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return { kind: 'max-tokens' }
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// stop / tool-calls / plugin-added kinds → no turn-end contribution
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// beyond the default `completed`. FinishReason is merge-extensible, so a
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// default (not assertNever) handles unknown kinds as ordinary success.
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default:
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return undefined
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}
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}
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/**
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* Ambient handles the loop driver receives from the agent. Decouples the
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* pure function `runLoop` from the mutable LoopAgent fields, making the
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@@ -294,7 +319,7 @@ async function runTurn(ctx: Context, agent: LoopAgent, handle: LoopHandle, turn:
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const abort = new AbortController()
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handle.setAbort(abort)
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let stepOutcome: { hadToolCalls: boolean } | { error: Error }
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let stepOutcome: { hadToolCalls: boolean; finish: FinishReason } | { error: Error }
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try {
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stepOutcome = await runStep(ctx, agent, turn, step, abort.signal)
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} catch (error: unknown) {
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@@ -320,6 +345,16 @@ async function runTurn(ctx: Context, agent: LoopAgent, handle: LoopHandle, turn:
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break
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}
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// The successful step's finish reason carries forward: a `max-tokens`
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// step makes the whole turn end `max-tokens` (RFC 010's rule "any
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// max-tokens step surfaces as max-tokens"). `stepFinishReason` returns
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// `max-tokens` or `undefined`, so a later ordinary step never resets a
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// max-tokens turn back to completed, and a never-truncated turn keeps the
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// default `completed`. The disposal/abort/error branches above and the
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// continuation-window disposal check below override this — they win.
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const stepReason = stepFinishReason(stepOutcome.finish)
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if (stepReason) reason = stepReason
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// Steering that arrived during streaming/tool execution.
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const steered = drainSteering(ctx, agent, turn)
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@@ -423,7 +458,7 @@ async function runStep(
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turn: number,
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step: number,
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signal: AbortSignal,
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): Promise<{ hadToolCalls: boolean }> {
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): Promise<{ hadToolCalls: boolean; finish: FinishReason }> {
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const { session, options } = agent
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// --- Request assembly ---
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@@ -517,7 +552,7 @@ async function runStep(
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/* v8 ignore stop */
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}
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return { hadToolCalls: toolCalls.length > 0 }
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return { hadToolCalls: toolCalls.length > 0, finish: assembler.finish }
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}
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/** The last turn number in a (possibly seeded) session log, or 0. */
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@@ -6,7 +6,7 @@ import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
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import ToolRegistry, { defineTool } from '@deepseek-ai/dsh-tools'
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import AgentRegistry from '@deepseek-ai/dsh-agent'
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import AgentLoop, { LoopAgent } from '@deepseek-ai/dsh-agent-loop'
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import { MockAdapter, textResponse, toolCallResponse } from './mock-adapter.ts'
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import { MockAdapter, maxTokensResponse, textResponse, toolCallResponse } from './mock-adapter.ts'
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async function harness(adapter: MockAdapter) {
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const ctx = new Context()
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@@ -336,6 +336,76 @@ describe('agent loop', () => {
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expect(reasons).toEqual([{ kind: 'aborted', reason: 'user interrupt' }])
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})
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it('surfaces max-tokens as the turn-end reason when the last step is cut off', async () => {
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// A single step that ends with a max-tokens finish (no tool calls): the
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// turn stops by default and ends max-tokens, not completed.
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const adapter = new MockAdapter([maxTokensResponse('truncat')])
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const ctx = await harness(adapter)
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const agent = ctx.agentLoop.create('a1', { model: 'mock' })
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const reasons: TurnEndReason[] = []
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ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
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send(agent, 'go')
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await waitForIdle(ctx, agent)
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expect(adapter.requests).toHaveLength(1)
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expect(reasons).toEqual([{ kind: 'max-tokens' }])
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// and the reason is recorded in the log's turn/end event
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const turnEnd = agent.session.events.findLast(e => e.type === 'turn/end')
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expect(turnEnd!.data.reason).toEqual({ kind: 'max-tokens' })
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})
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it('a max-tokens step earlier in a turn still surfaces as max-tokens after a later completed step', async () => {
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// Step 1 is cut off (max-tokens, no tool calls → would stop by default), so
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// continuation must be FORCED to reach step 2 which finishes normally
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// (stop). The rule "any max-tokens step surfaces as max-tokens" means the
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// turn ends max-tokens even though the LAST step completed cleanly.
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const adapter = new MockAdapter([
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maxTokensResponse('first half'),
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textResponse('second half'),
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])
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const ctx = await harness(adapter)
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const agent = ctx.agentLoop.create('a1', { model: 'mock' })
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let steps = 0
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ctx.on('agent/step-end', () => void steps++)
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// Force exactly one continuation (step 1 → step 2), then defer to default
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// (step 2 is a plain stop with no tool calls → stops).
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ctx.on('agent/turn-continuation', async (_agent, _turn, _defaultDecision, next) => {
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if (steps < 2) return true
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return next()
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})
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const reasons: TurnEndReason[] = []
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ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
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send(agent, 'go')
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await waitForIdle(ctx, agent)
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expect(steps).toBe(2)
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expect(adapter.requests).toHaveLength(2)
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expect(reasons).toEqual([{ kind: 'max-tokens' }])
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})
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it('a completed step after no max-tokens keeps the turn completed (max-tokens does not leak across turns)', async () => {
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// Two consecutive turns: turn 1 is cut off (max-tokens), turn 2 is a clean
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// stop. The per-turn reason must be independent — turn 2 ends completed.
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const adapter = new MockAdapter([maxTokensResponse('cut'), textResponse('clean')])
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const ctx = await harness(adapter)
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const agent = ctx.agentLoop.create('a1', { model: 'mock' })
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const reasons: TurnEndReason[] = []
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ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
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send(agent, 'first')
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await waitForIdle(ctx, agent)
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send(agent, 'second')
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await waitForIdle(ctx, agent)
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expect(reasons).toEqual([{ kind: 'max-tokens' }, { kind: 'completed' }])
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})
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it('chains queued messages into consecutive turns', async () => {
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const adapter = new MockAdapter([textResponse('first'), textResponse('second')])
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const ctx = await harness(adapter)
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@@ -12,6 +12,21 @@ export function textResponse(text: string): StreamChunk[] {
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]
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}
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/**
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* Like {@link textResponse} but the stream ends with a `max-tokens` finish —
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* the model was cut off at the output-token ceiling (DeepSeek's `length`).
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* Used to exercise the turn-end `max-tokens` surfacing rule.
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*/
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export function maxTokensResponse(text: string): StreamChunk[] {
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return [
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{ type: 'block-start', index: 0, blockType: 'text' },
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...Array.from(text, (char): StreamChunk => ({ type: 'text-delta', index: 0, text: char })),
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{ type: 'block-end', index: 0, block: { type: 'text', text } },
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{ type: 'usage', usage: { inputTokens: 10, outputTokens: text.length } },
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{ type: 'finish', reason: { kind: 'max-tokens' } },
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]
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}
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export function toolCallResponse(rawCallId: string, name: string, args: object, text?: string): StreamChunk[] {
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const callId = CallId(rawCallId)
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const argumentsJson = JSON.stringify(args)
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@@ -93,12 +93,26 @@ export type TurnTrigger = TurnTriggerMap[keyof TurnTriggerMap]
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/**
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* Why a turn ended.
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* Merge-extensible sum type.
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*
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* `max-tokens` mirrors the model-call `FinishReasonMap` variant (DeepSeek's
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* `length`): the turn ended because a step hit the output-token ceiling, not
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* because the model chose to stop. The agent-loop surfaces it via the rule
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* "any `max-tokens` step in the turn makes the turn end `max-tokens`" (a
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* continuation plugin can run further steps after one, but the cut-short fact
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* still wins). It is distinct from `completed` so a consumer (e.g. the ACP
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* bridge mapping to `StopReason: 'max_tokens'`) can tell a clean stop from a
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* truncated one. The next variants to add — when an adapter/loop first emits
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* them — are `refusal` and `max_turn_requests` (both named by RFC 010 as ACP
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* stop reasons); no current adapter produces a `refusal` finish (unknown
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* DeepSeek finish reasons collapse to `error`), so it is deliberately omitted
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* until one does.
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*/
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export interface TurnEndReasonMap {
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completed: { kind: 'completed' }
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aborted: { kind: 'aborted'; reason?: string }
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error: { kind: 'error'; message: string; code?: string }
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disposed: { kind: 'disposed' }
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'max-tokens': { kind: 'max-tokens' }
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/**
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* The turn never ended on its own: the process crashed mid-turn and a
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* persistence backend later closed the orphaned (open) turn on reload so the
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@@ -26,6 +26,19 @@ describe('Session', () => {
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expect(messages[2]!.content[0]).toMatchObject({ type: 'tool-result', toolCallId: CallId('c1') })
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})
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it('accepts and round-trips a max-tokens turn/end reason', () => {
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// The max-tokens TurnEndReason variant carries no extra data, so it must
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// append and persist like any other reason (JSON-serializable, no fields).
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const session = new Session(SessionId('s1'))
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session.append('turn/start', { turn: 1, trigger: { kind: 'message', source: { kind: 'user' } } })
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session.append('turn/end', { turn: 1, reason: { kind: 'max-tokens' } })
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const turnEnd = session.events.findLast(e => e.type === 'turn/end')!
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expect(turnEnd.data.reason).toEqual({ kind: 'max-tokens' })
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// survives a structuredClone (the persistence-serialization boundary)
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expect(structuredClone(turnEnd.data.reason)).toEqual({ kind: 'max-tokens' })
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})
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it('renders context and steering messages as tagged synthetic user content', () => {
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const session = new Session(SessionId('s2'))
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session.append('context/message', {
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