Merge remote-tracking branch 'origin/master' into xtr/agent-loop-message-machine
# Conflicts: # docs/architecture.i18n.yaml # docs/architecture.md # docs/architecture.zh.md # docs/cordis-catalog/services.md # docs/core-data-structures/core.i18n.yaml # docs/core-data-structures/core.md # docs/core-data-structures/core.zh.md # docs/core-data-structures/llm-streaming.i18n.yaml # docs/core-data-structures/session.i18n.yaml # docs/event-producer-consumer.md # examples/acp-agent/tests/snapshots/cordis-inspect-jsdoc/session.jsonl # examples/headless-agent/tests/snapshots/advanced-toolchain/session.1.jsonl # examples/headless-agent/tests/snapshots/advanced-toolchain/session.2.jsonl # packages/core/agent-loop/README.i18n.yaml # packages/core/agent-loop/README.md # packages/core/agent-loop/README.zh.md # packages/core/agent-loop/src/loop.ts # packages/core/agent/README.i18n.yaml # packages/core/agent/tests/llm-target.spec.ts # packages/core/session/tests/request-header.spec.ts
This commit is contained in:
@@ -1,6 +1,6 @@
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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# after editing either side, bring the other along and re-record with:
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# pnpm run verify-translation-pairing --write
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README.md: d113e9ec5b0feff9f7cc8ac541bfe35a5bf1ab93
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README.zh.md: eba78709584ebfdfd47ca50ba94ec9cbcececee3
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# pnpm run verify-translation-pairing --write packages/core/agent-loop/README.md
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README.md: 6ad982ffff7b73e16ee39f9c29da787e37547de4
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README.zh.md: c72df198774f0f8009cc5ab43932e69187757745
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@@ -62,6 +62,8 @@ The driver owns one agent for its lifetime and runs inside `ctx.agents.withIniti
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Every provider call that reaches a successful finish appends exactly one `assistant/message` completion anchor, including content-less calls and `max-tokens` finishes. The anchor records the assembled content as-is, retains exact chunk provenance (`[]` for a stream with no chunks), and includes usage when available; empty content stays out of derived message history.
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After `agent/request` returns a provider/model call config, the loop asks `ctx.llm.prepareCall()` to validate any adapter-owned reasoning effort and materialize its configured default under the active turn signal. The prepared call retains the exact adapter registration across this asynchronous resolution, `request/header` logging, and terminal dispatch, so HMR cannot mix one adapter's capability result with another adapter's request. The effective config is logged before dispatch, so a listener can change effort between steps without hidden request drift. A route with no registered adapter preserves the proposed config so an `llm/stream` listener can own and short-circuit it; unhandled terminal dispatch still fails with `NO_ADAPTER`. A new loop instance restores the last effort only when its initial provider/model route exactly matches the logged route; a route change discards that opaque model-owned ID and resolves the new model independently.
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Plugin failure ends the current turn, not the loop. A model-request failure first closes its step and enters `agent/request-error` with the exact live error, normalized provider facts, and the turn signal. A handling listener calls `agent.retry()`; the loop coalesces repeated calls, closes the failed turn with its error, and opens one numbered retry turn without an intervening idle notification. An unhandled failure is terminal. Other failures close directly. AgentLoop owns one cancellation signal for the current admission or turn. An effective `cancel(cause)` clears pending work unless `keepInbox` is set and cooperatively aborts that signal; idle cancellation is a no-op. Durable `turn/end` records `aborted` for `user` and `parent`, while disposal records `disposed`; undispatched model tool calls receive synthetic `tool/call` and `ABORTED_BEFORE_DISPATCH` result pairs. The cancellation cause changes reporting, not how result context finalized after cancellation is handled. Disposal waits for signal-ignoring work before registry removal. The [explicit-cancellation decision](../../../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md) owns the lifecycle and race contract.
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Within a step, exclusive calls form barriers; parallel-safe calls use a bounded rolling pool and are reclassified before start. Only dispatch/body overlaps. Policy, durable results, and result context remain model-ordered. Abort stops new calls, drains started results, and retains their finalized result context without distinguishing the cancellation cause.
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@@ -62,6 +62,8 @@ interface Config {
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每次提供方调用成功结束时,都会恰好追加一个 `assistant/message` 完成锚点,包括无内容调用和以 `max-tokens` 结束的调用。该锚点原样记录组装后的内容,保留确切的 chunk 溯源(流没有 chunk 时为 `[]`),并在用量可用时包含用量;空内容不会进入派生消息历史。
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在 `agent/request` 返回提供方/模型调用配置后,循环会调用 `ctx.llm.prepareCall()`,在活跃轮次信号的控制下校验由适配器持有的推理(reasoning)强度,并填入其配置默认值。准备完成的调用会在这次异步解析、`request/header` 日志记录和最终分派期间保留同一项确切的适配器注册,因此 HMR(热模块替换)不会把某个适配器的能力解析结果与另一适配器的请求混用。生效配置会在分派前写入日志,因此监听器可以在步骤之间更改推理强度,而不会产生未记录的请求变化。没有已注册适配器的路由会保留原定配置,使 `llm/stream` 监听器可以接管并短路该请求;最终分派仍会以 `NO_ADAPTER` 拒绝未得到处理的路由。新循环实例仅在初始提供方/模型路由与日志路由完全一致时恢复上次的推理强度;路由变化会丢弃由前一模型持有的不透明 ID,并单独解析新模型。
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插件失败会结束当前轮次,而不是结束循环。模型请求失败会先关闭其步骤,再带着确切的实时错误、规范化的提供方事实和轮次信号进入 `agent/request-error`。处理失败的监听器调用 `agent.retry()`;循环会合并重复调用,用其错误关闭失败轮次,并在不插入空闲通知的情况下开启一个编号重试轮次。未被处理的失败是终态。其他失败直接关闭轮次。AgentLoop 为当前接纳或轮次拥有一个取消信号。有效的 `cancel(cause)` 在未设置 `keepInbox` 时清除待处理工作,并以协作方式中止该信号;空闲取消是空操作。持久 `turn/end` 为 `user` 和 `parent` 记录 `aborted`,dispose 则记录 `disposed`;未分发的模型工具调用会收到合成的 `tool/call` 与 `ABORTED_BEFORE_DISPATCH` 结果对。取消原因只改变报告方式,不改变对取消后已定案结果上下文的处理。Dispose 会等待忽略信号的工作完成,然后才从注册表移除。[显式取消决策](../../../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)规定生命周期与竞态契约。
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在步骤内,独占调用形成屏障;并行安全调用使用有界滚动池,并在启动前重新分类。只有分发/主体会重叠。策略、持久结果和结果上下文仍保持模型顺序。中止会停止新调用,drain 已启动的结果,并保留其已定案的结果上下文,不区分取消原因。
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@@ -1,4 +1,4 @@
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import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
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import type { GenerateOptions, LlmModelReasoningInfo, LlmResolvedModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
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import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
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/** Helpers to write scripted responses tersely. */
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@@ -64,10 +64,25 @@ export function toolCallResponse(rawCallId: string, name: string, args: object,
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export class MockAdapter extends LlmAdapter {
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requests: GenerateOptions[] = []
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constructor(private script: (StreamChunk[] | ((options: GenerateOptions) => StreamChunk[]) | 'hang')[]) {
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constructor(
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private script: (StreamChunk[] | ((options: GenerateOptions) => StreamChunk[]) | 'hang')[],
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private readonly reasoning?: LlmModelReasoningInfo,
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) {
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super()
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}
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override resolveModel(
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provider: string,
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model: string,
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): Promise<LlmResolvedModelInfo> {
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return Promise.resolve({
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provider,
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id: model,
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name: model,
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...this.reasoning === undefined ? {} : { reasoning: this.reasoning },
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})
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}
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async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
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this.requests.push(options)
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const entry = this.script.shift()
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@@ -7,8 +7,8 @@
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import { describe, expect, it } from 'vitest'
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import { Context } from 'cordis'
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import LlmService from '@deepseek-ai/dsh-llm'
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import type { GenerateOptions } from '@deepseek-ai/dsh-llm'
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import LlmService, { LlmError, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
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import type { GenerateOptions, LlmModelReasoningInfo, LlmResolvedModelInfo } from '@deepseek-ai/dsh-llm'
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import SessionStore, { Session, SessionId, foldRequestHeader } from '@deepseek-ai/dsh-session'
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import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
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import ToolRegistry, { defineContentToolFixture } from '@deepseek-ai/dsh-tools'
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@@ -104,6 +104,168 @@ describe('request stability across the loop', () => {
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expectPrefixExtension(adapter.requests[0]!, adapter.requests[1]!)
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})
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it('logs adapter defaults, supports per-turn effort changes, and restores the effective value', async () => {
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const reasoning = {
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efforts: [
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{ id: ReasoningEffortId('high'), name: 'High' },
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{ id: ReasoningEffortId('max'), name: 'Max' },
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],
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defaultEffort: ReasoningEffortId('high'),
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}
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const adapter = new MockAdapter([textResponse('one'), textResponse('two')], reasoning)
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const ctx = await harness(adapter)
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const agent = ctx.agentLoop.create(SessionId('effort'), { provider: 'mock', model: 'mock' })
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ctx.on('agent/request', async (_agent, turn, _step, _signal, next) => {
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const config = await next()
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return turn === 2 ? { ...config, reasoningEffort: ReasoningEffortId('max') } : config
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})
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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(adapter.requests.map(request => request.reasoningEffort)).toEqual([
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ReasoningEffortId('high'),
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ReasoningEffortId('max'),
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])
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const headers = agent.session.events.filter(event => event.type === 'request/header')
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expect(headers.map(event => event.data.header.config.reasoningEffort)).toEqual([
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ReasoningEffortId('high'),
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ReasoningEffortId('max'),
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])
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expect(headers.map(event => event.data.reason)).toEqual(['initial', 'change'])
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const resumedAdapter = new MockAdapter([textResponse('three')], reasoning)
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const resumedCtx = await harness(resumedAdapter)
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const resumedHandle = await resumedCtx.agents.create({
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sessionId: SessionId('effort-resumed'),
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seed: structuredClone(agent.session.events),
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agentOptions: { provider: 'mock', model: 'mock' },
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})
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send(resumedHandle.agent, 'third')
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await waitForIdle(resumedCtx, resumedHandle.agent)
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expect(resumedAdapter.requests[0]?.reasoningEffort).toBe(ReasoningEffortId('max'))
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const resumedHeaders = resumedHandle.agent.session.events.filter(event => event.type === 'request/header')
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expect(resumedHeaders.at(-1)?.data.header.config.reasoningEffort).toBe(ReasoningEffortId('max'))
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expect(resumedHeaders.at(-1)?.data.reason).toBe('resume')
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})
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it('keeps exact-model resolution, request logging, and dispatch on one adapter registration', async () => {
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const ctx = new Context()
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await ctx.plugin(LlmService)
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await ctx.plugin(SessionStore)
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await ctx.plugin(SystemPrompt, { persona: 'stable base' })
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await ctx.plugin(ToolRegistry)
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await ctx.plugin(AgentRegistry)
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await ctx.plugin(AgentLoop, { agents: [] })
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const started = Promise.withResolvers<undefined>()
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const reasoning = Promise.withResolvers<LlmModelReasoningInfo>()
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const first = new class extends MockAdapter {
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override async resolveModel(
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provider: string,
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model: string,
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_signal?: AbortSignal,
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): Promise<LlmResolvedModelInfo> {
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started.resolve(undefined)
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return {
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provider,
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id: model,
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name: model,
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reasoning: await reasoning.promise,
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}
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}
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}([textResponse('first')])
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const second = new MockAdapter([textResponse('second')], {
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efforts: [{ id: ReasoningEffortId('max'), name: 'Max' }],
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defaultEffort: ReasoningEffortId('max'),
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})
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const disposeFirst = ctx.llm.registerAdapter(['mock'], first)
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const agent = ctx.agentLoop.create(SessionId('effort-hmr'), { provider: 'mock', model: 'mock' })
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send(agent, 'go')
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await started.promise
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disposeFirst()
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ctx.llm.registerAdapter(['mock'], second)
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reasoning.resolve({
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efforts: [{ id: ReasoningEffortId('high'), name: 'High' }],
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defaultEffort: ReasoningEffortId('high'),
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})
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await waitForIdle(ctx, agent)
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expect(first.requests.map(request => request.reasoningEffort)).toEqual([
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ReasoningEffortId('high'),
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])
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expect(second.requests).toHaveLength(0)
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const headers = agent.session.events.filter(event => event.type === 'request/header')
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expect(headers.at(-1)?.data.header.config.reasoningEffort).toBe(ReasoningEffortId('high'))
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})
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it('aborts a blocked reasoning lookup before quiescent disposal completes', async () => {
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const started = Promise.withResolvers<AbortSignal>()
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const adapter = new class extends MockAdapter {
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override resolveModel(
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_provider: string,
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_model: string,
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signal?: AbortSignal,
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): Promise<never> {
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if (signal === undefined) return Promise.reject(new Error('missing reasoning signal'))
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started.resolve(signal)
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return new Promise((_resolve, reject) => {
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if (signal.aborted) {
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reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
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return
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}
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signal.addEventListener('abort', () => {
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reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
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}, { once: true })
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})
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}
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}([])
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const ctx = await harness(adapter)
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const handle = await ctx.agents.create({
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sessionId: SessionId('reasoning-dispose'),
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agentOptions: { provider: 'mock', model: 'mock' },
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})
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send(handle.agent, 'go')
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const signal = await started.promise
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await handle.dispose()
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expect(signal.aborted).toBe(true)
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expect(handle.agent.status).toBe('disposed')
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expect(adapter.requests).toHaveLength(0)
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expect(handle.agent.session.events.some(event => event.type === 'request/header')).toBe(false)
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})
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it.each(['plain error', 'LLM error'] as const)(
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'does not swallow a %s from exact-model resolution',
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async (kind) => {
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const failure = kind === 'plain error'
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? new Error('reasoning metadata failed')
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: new LlmError('unsupported effort', 'UNSUPPORTED_REASONING_EFFORT')
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const adapter = new class extends MockAdapter {
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override resolveModel(): Promise<never> {
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return Promise.reject(failure)
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}
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}([])
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const ctx = await harness(adapter)
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const errors: Error[] = []
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ctx.on('agent/error', (_agent, _turn, _step, error) => void errors.push(error))
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const agent = ctx.agentLoop.create(SessionId(`reasoning-${kind}`), {
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provider: 'mock',
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model: 'mock',
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})
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send(agent, 'go')
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await waitForIdle(ctx, agent)
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expect(errors).toContain(failure)
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expect(adapter.requests).toHaveLength(0)
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},
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)
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it('a compaction replace rewrites the resend, and the log explains it', async () => {
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const adapter = new MockAdapter([textResponse('one'), textResponse('two')])
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const ctx = await harness(adapter)
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@@ -304,6 +466,7 @@ describe('request stability across the loop', () => {
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const firstChunk = events.find(e => e.type === 'assistant/chunk' && e.seq > stepStart.seq)!
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const header = foldRequestHeader(events.slice(0, firstChunk.seq))!
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expect(request.model).toBe(header.config.model)
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expect(request.reasoningEffort).toBe(header.config.reasoningEffort)
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expect(request.system).toEqual(header.system)
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expect(structuredClone(request.tools ?? [])).toEqual(structuredClone(header.tools ?? []))
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expect(request.temperature).toBe(header.config.temperature)
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Reference in New Issue
Block a user