[连续对话判断]：完成自动持续对话和播报打断，包含回复意图判断、免唤醒追问和打断回归测试

2026-06-18 12:08:41 +08:00
parent 1e956f5eb6
commit 7519725321
16 changed files with 1059 additions and 119 deletions
@@ -135,6 +135,52 @@ The system SHALL provide a deterministic simulated microphone acceptance command
 - **WHEN** the simulated microphone transport runs out of frames before the expected turn completes
 - **THEN** the command SHALL fail with a structured error instead of waiting indefinitely

+### Requirement: Automatic continuous dialog decision
+The live runtime SHALL automatically decide after each assistant reply whether to continue listening for a direct follow-up answer or to end the continuous session and return to wake standby.
+
+#### Scenario: Assistant asks the user a direct follow-up question
+- **WHEN** an assistant reply clearly asks the user a question, requests missing information, asks the user to choose among options, or otherwise waits for the user's next answer
+- **THEN** the continuation decision SHALL be `continue` with confidence at or above the configured threshold
+- **AND** the runtime SHALL enter follow-up listening after playback without requiring the wake word again
+
+#### Scenario: Assistant completes the answer
+- **WHEN** an assistant reply only provides an answer, reports a result, refuses, reports an error, ends a greeting, or is ambiguous about needing more user input
+- **THEN** the continuation decision SHALL be `standby`
+- **AND** the runtime SHALL return to wake standby after playback
+
+#### Scenario: Hybrid decision falls back to an LLM classifier
+- **WHEN** deterministic rules cannot decide continue or standby
+- **THEN** the hybrid provider SHALL call the configured cloud LLM with a classifier prompt that can only resolve to `continue` or `standby`
+- **AND** a low-confidence, malformed, timed-out, or failed classifier result SHALL be treated as `standby`
+
+#### Scenario: Follow-up answer arrives in the listening window
+- **WHEN** the decision is `continue` and the user starts speaking within `OWNER_FOLLOWUP_LISTEN_TIMEOUT_MS`
+- **THEN** the runtime SHALL capture, realtime-transcribe, final-transcribe, send to LLM, synthesize, and play the answer without local wake detection and without the wake acknowledgement phrase
+
+#### Scenario: Follow-up listening times out
+- **WHEN** the decision is `continue` but no user speech is detected before `OWNER_FOLLOWUP_LISTEN_TIMEOUT_MS`
+- **THEN** the runtime SHALL emit `followup_timeout`
+- **AND** it SHALL emit `continuous_session_ended`
+- **AND** it SHALL return to wake standby
+
+### Requirement: Barge-in playback interruption
+The live runtime SHALL support a first-version barge-in path that can stop assistant playback when the user starts a valid new utterance during TTS playback.
+
+#### Scenario: Echo guard suppresses early playback echo
+- **WHEN** TTS playback starts and microphone input appears before `OWNER_BARGE_IN_ECHO_GUARD_MS`
+- **THEN** the runtime SHALL NOT treat that input as a user barge-in
+
+#### Scenario: Valid user speech interrupts playback
+- **WHEN** TTS playback has passed the echo guard, VAD observes at least `OWNER_BARGE_IN_MIN_SPEECH_MS` of user speech, and realtime STT produces a valid partial transcript
+- **THEN** the runtime SHALL emit `barge_in_detected`
+- **AND** it SHALL stop remaining playback chunks and emit `playback_interrupted`
+- **AND** it SHALL process the user's new utterance as the next input without requiring wake
+
+#### Scenario: Interrupted assistant context is partial
+- **WHEN** playback is interrupted before the full assistant reply is spoken
+- **THEN** the process-local conversation context SHALL append only the assistant text that had been fully spoken before interruption
+- **AND** unspoken assistant text SHALL NOT be appended to the session history
+
 ### Requirement: Real provider live fixture acceptance
 The system SHALL support scripted full-chain acceptance that drives the live pipeline with generated microphone PCM while using real local speech providers, the configured cloud LLM, and local TTS/playback capability.