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feat(tui): auto-title the terminal pane from the first user message

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Turtle
2026-07-22 10:55:18 +08:00
parent 9c8994f65a
commit ea93166e57
6 changed files with 118 additions and 7 deletions
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31
examples/tui-agent/tests/fixtures/tui-scripted-llm.ts vendored
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@@ -5,6 +5,14 @@ import { CallId, LlmAdapter } 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}`
const FINAL_TEXT = 'Decision received. Scripted TUI run complete.'
// The `skill` scenario types `/skill:scripted-skill`; the manual-invocation front
// door delivers the loaded skill as a user turn wrapped in `<skill name="…">`. The
// body marker below lives in the fixture skill, so echoing it back proves the whole
// block (name attribute plus body) reached the model, not just the command text.
const SKILL_BLOCK_OPEN = '<skill name="scripted-skill">'
const SKILL_BODY_MARKER = 'SCRIPTED SKILL BODY MARKER'
const SKILL_RECEIVED_TEXT = 'Scripted skill body received.'
const TITLE_TEXT = 'scripted session title'
function textChunks(text: string): StreamChunk[] {
return [
@@ -16,7 +24,7 @@ function textChunks(text: string): StreamChunk[] {
]
}
/** Keyless two-step adapter for the real-PTY TUI conversation test. */
/** Keyless adapter for the real-PTY TUI tests: the two-step conversation and the `/skill:` round-trip. */
class ScriptedTuiAdapter extends LlmAdapter {
override listModels(provider: string): Promise<readonly LlmModelInfo[]> {
return Promise.resolve([
@@ -30,10 +38,29 @@ class ScriptedTuiAdapter extends LlmAdapter {
}
override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
// The TUI's auto-title request carries no tool schemas, unlike every agent
// turn; answer it with a fixed title so the PTY test can assert the OSC set.
if ((options.tools?.length ?? 0) === 0) {
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')
}
const hasToolResult = options.messages.at(-1)?.content.some(block => block.type === 'tool-result') ?? false
const lastMessage = options.messages.at(-1)
const lastText = (lastMessage?.content ?? [])
.filter(block => block.type === 'text')
.map(block => block.text)
.join('\n')
if (lastText.includes(SKILL_BLOCK_OPEN)) {
const ack = lastText.includes(SKILL_BODY_MARKER)
? SKILL_RECEIVED_TEXT
: 'Scripted skill block arrived without its body.'
for (const chunk of textChunks(ack)) yield chunk
return
}
const hasToolResult = lastMessage?.content.some(block => block.type === 'tool-result') ?? false
if (hasToolResult) {
for (const chunk of textChunks(FINAL_TEXT)) yield chunk
return