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Merge remote-tracking branch 'origin/master' into xtr/agent-loop-message-machine

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# 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:
_Kerman
2026-07-27 16:44:06 +08:00
parent d9874ae10c 5f589da54d
commit bd40eec770
220 changed files with 4592 additions and 969 deletions
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41
examples/tui-agent/tests/fixtures/tui-scripted-llm.ts vendored
View File

@@ -1,6 +1,11 @@
import type { Context } from 'cordis'
import type { GenerateOptions, LlmModelContext, LlmModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
import type {
GenerateOptions,
LlmModelInfo,
LlmResolvedModelInfo,
StreamChunk,
} from '@deepseek-ai/dsh-llm'
import { CallId, LlmAdapter, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
const CONTROL_PROBE = '\u001b]2;MODEL_CONTROLLED\u0007\u001b[999CMODEL_CURSOR\u009b31mMODEL_C1'
const INITIAL_TEXT = `I need one decision before I continue. ${CONTROL_PROBE}`
@@ -35,8 +40,28 @@ class ScriptedTuiAdapter extends LlmAdapter {
])
}
override resolveModelContext(_provider: string, _model: string): Promise<LlmModelContext> {
return Promise.resolve({ contextWindow: 128_000 })
override resolveModel(
provider: string,
model: string,
): Promise<LlmResolvedModelInfo> {
return Promise.resolve({
provider,
id: model,
name: model === 'tui-scripted-model-pro' ? 'Scripted Pro' : 'Scripted Base',
context: { contextWindow: 128_000 },
...model !== 'tui-scripted-model-pro'
? {}
: {
reasoning: {
efforts: [
{ id: ReasoningEffortId('off'), name: 'Off' },
{ id: ReasoningEffortId('high'), name: 'High' },
{ id: ReasoningEffortId('max'), name: 'Max' },
],
defaultEffort: ReasoningEffortId('high'),
},
},
})
}
override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -47,8 +72,12 @@ class ScriptedTuiAdapter extends LlmAdapter {
for (const chunk of textChunks(TITLE_TEXT)) yield chunk
return
}
if (options.model !== 'tui-scripted-model-pro' || !options.system?.includes('tui-scripted-model-pro')) {
throw new Error('the scripted TUI request did not apply the selected model to routing and prompt variables')
if (
options.model !== 'tui-scripted-model-pro'
|| !options.system?.includes('tui-scripted-model-pro')
|| options.reasoningEffort !== ReasoningEffortId('max')
) {
throw new Error('the scripted TUI request did not apply the selected model and reasoning effort')
}
const lastMessage = options.messages.at(-1)
// The loop appends plugin-sourced context (the plan-mode notice, the

3
examples/tui-agent/tests/tui-keyless-smoke.e2e.ts
View File

@@ -103,7 +103,7 @@ function smoke(overrides: Partial<TuiPtySmokeOptions> & { label: string }): Prom
// other route (see fixtures/tui-scripted-llm.ts).
const SELECT_PRO_MODEL = [
{ waitFor: 'scripted TUI ready.', send: '/model\r' },
{ waitFor: 'Select model', send: '\x1b[B\r' },
{ waitFor: 'Select model', send: '\x1b[B\x1b[Z\r' },
] as const
describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
@@ -156,6 +156,7 @@ describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
],
})
expect(output).toContain('I need one decision before I continue.')
expect(output).toContain('Reasoning effort: Max.')
expect(output).toContain('Entering plan mode (applies from the next step). Use /plan off to leave.')
expect(output).toContain('Leaving plan mode (applies from the next step).')
expect(output).toContain('Default mode confirmed.')