Problem:
- Text input area caused BOTTOM OVERFLOWED BY 135 PIXELS when keyboard opened
- Input bar overlapped with call control buttons
- Sent messages were not displayed on screen (only SnackBar feedback)
Solution — split into two distinct layouts:
1. Call Mode (default):
- Full-screen call UI: avatar, waveform, duration, large control buttons
- Keyboard button in controls toggles to chat mode
- No text input elements — clean voice-only interface
2. Chat Mode (tap keyboard button):
- Compact call header: green status dot + "iAgent" + duration + inline
mute/end/speaker/collapse controls
- Scrollable message list (Expanded widget — properly handles keyboard)
- User messages: right-aligned blue bubbles with attachment thumbnails
- Agent responses: left-aligned gray bubbles with robot avatar
- Input bar at bottom: attachment picker + text field + send button
Message display:
- User-sent text/attachments tracked in _messages list, shown as bubbles
- Agent responses sent back via LiveKit data channel (topic='text_reply')
from voice-agent → Flutter, displayed as assistant bubbles
- Auto-scroll to latest message
Voice-agent change (agent.py):
- After session.say(response), publish response text back to Flutter via
ctx.room.local_participant.publish_data() with topic='text_reply'
- Flutter listens for DataReceivedEvent to display agent responses
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Enable users to send text messages, images, and files to the Agent
while an active voice call is in progress. This addresses the case
where spoken instructions are unclear or screenshots/documents need
to be shared for analysis.
## Architecture
Data flows through LiveKit data channel (not direct HTTP):
Flutter → publishData(topic='text_inject') → voice-agent
→ llm.inject_text_message() → POST /api/v1/agent/tasks (same session)
→ collect streamed response → session.say() → TTS playback
This preserves the constraint that voice-agent owns the agent-service
sessionId — Flutter never contacts agent-service directly.
## Flutter UI (agent_call_page.dart)
- Add keyboard toggle button to active call controls (4-button row)
- Collapsible text input area with attachment picker (+) and send button
- Attachment support: gallery multi-select, camera, file picker
(images max 1024x1024 quality 80%, PDF supported, max 5 attachments)
- Horizontal scrolling attachment preview with delete buttons
- 200KB payload size check before LiveKit data channel send
- Layout adapts: Spacer flex 1/3 toggle, reduced bottom padding
## voice-agent (agent.py)
- Register data_received event listener after session.start()
- Filter for topic='text_inject', parse JSON payload
- Call llm.inject_text_message(text, attachments) and TTS via session.say()
- Use asyncio.ensure_future() wrapper for async handler (matches
existing disconnect handler pattern for sync EventEmitter)
## AgentServiceLLM (agent_llm.py)
- New inject_text_message(text, attachments) method on AgentServiceLLM
- Reuses same _agent_session_id for conversation context continuity
- WS+HTTP streaming: connect, pre-subscribe, POST /tasks with
attachments field, collect full text response, return string
- _injecting flag prevents concurrent _do_stream from clearing
session ID on abort errors while inject is in progress
- Same systemPrompt/voiceMode/engineType as voice pipeline
No agent-service changes required — attachments already supported
end-to-end (JSONB storage → multimodal content blocks → Claude).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Previously, voice mode wrapped every user message with 【语音对话模式】
instructions, polluting conversation_messages history with repeated
instructions on every turn. Now:
- systemPrompt carries voice-mode instructions (set once, not per-message)
- prompt contains only the clean user text (identical to text chat pattern)
- Conversation history stays clean for multi-turn context
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Remove on_enter greeting entirely (no more race condition)
2. voice-agent sends voiceMode: true when engine_type is claude_agent_sdk
3. AgentController.runTaskStream() filters thinking, tool_use, tool_result
events in voice mode — only text, completed, error reach the client
4. Detailed logging: each event logged with [FILTERED-voice] tag when skipped
Claude API mode is completely unaffected (voiceMode defaults to false).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Change on_enter greeting from generate_reply() to session.say() with
a static message — avoids spawning an Agent SDK task just for a greeting,
which caused a race condition when the user speaks before it completes.
2. Clear agent session ID when receiving abort/exit errors so the next
task starts a fresh session instead of trying to resume a dead process.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Full-stack implementation allowing users to choose between Claude Agent SDK
(default, with tool approval, skill injection, session resume) and Claude API
(direct, lower latency) in Flutter settings. Agent SDK mode wraps prompts with
voice-conversation instructions for concise spoken Chinese output.
Data flow: Flutter Settings → SharedPreferences → POST /livekit/token →
RoomAgentDispatch metadata → voice-agent → AgentServiceLLM(engine_type)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Flutter (agent_call_page.dart):
- Add ConnectOptions with 15s timeouts for connection/peerConnection/iceRestart
- Add RoomReconnectingEvent/RoomAttemptReconnectEvent/RoomReconnectedEvent
listeners with "网络重连中" UI indicator during reconnection
- Add TimeoutException detection in _friendlyError()
voice-agent (agent.py):
- Wrap entrypoint() in try-except with full traceback logging
- Register room disconnect listener to close httpx clients (instead of
finally block, since session.start() returns while session runs in bg)
- Add asyncio import for ensure_future cleanup
voice-agent LLM proxy (agent_llm.py):
- Add retry with exponential backoff (max 2 retries, 1s/3s delays) for
network errors (ConnectError/ConnectTimeout/OSError) and WS InvalidStatusCode
- Extract _do_stream() method for single-attempt logic
- Add WebSocket connection params: open_timeout=10, ping_interval=20,
ping_timeout=10 for keepalive and faster dead-connection detection
- Use granular httpx.Timeout(connect=10, read=30, write=10, pool=10)
- Increase WS recv timeout from 5s to 30s to reduce unnecessary loops
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Default silence_duration_ms=350 is too aggressive for Chinese speech,
causing sentences to be fragmented into 1-3 character chunks. Increase
to 800ms and raise VAD threshold to 0.6 so the STT waits longer before
finalizing a turn, producing complete sentences for LLM processing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The OpenAI Realtime STT uses aiohttp WebSocket connections (not httpx),
so the existing httpx verify=False fix does not apply. LiveKit's
http_context creates aiohttp.TCPConnector without ssl=False, causing
SSL certificate verification errors when OPENAI_BASE_URL points to a
proxy with a self-signed certificate.
Monkey-patch http_context._new_session_ctx to inject ssl=False into the
aiohttp connector, fixing the "CERTIFICATE_VERIFY_FAILED" error for
Realtime STT WebSocket connections.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add user-configurable TTS voice and tone style settings that flow from
the Flutter app through the backend to the voice-agent at call time.
## Flutter App (it0_app)
### Domain Layer
- app_settings.dart: Add `ttsVoice` (default: 'coral') and `ttsStyle`
(default: '') fields to AppSettings entity with copyWith support
### Data Layer
- settings_datasource.dart: Add SharedPreferences keys
`settings_tts_voice` and `settings_tts_style` for local persistence
in loadSettings(), saveSettings(), and clearSettings()
### Presentation Layer
- settings_providers.dart: Add `setTtsVoice()` and `setTtsStyle()`
methods to SettingsNotifier for Riverpod state management
- settings_page.dart: Add "语音" settings group between Notifications
and Security groups with:
- Voice picker: 13 OpenAI voices with gender/style labels
(e.g. "女 · 温暖", "男 · 沉稳", "中性") in a BottomSheet
- Style picker: 5 presets (专业干练/温柔耐心/轻松活泼/严肃正式/科幻AI)
as ChoiceChips + custom text input field + reset button
### Call Flow
- agent_call_page.dart: Send `tts_voice` and `tts_style` in the POST
body when requesting a LiveKit token at call initiation
## Backend
### voice-service (Python/FastAPI)
- livekit_token.py: Accept optional `tts_voice` and `tts_style` via
Pydantic TokenRequest body model; embed them in RoomAgentDispatch
metadata JSON alongside auth_header (backward compatible)
### voice-agent (Python/LiveKit Agents)
- agent.py: Extract `tts_voice` and `tts_style` from ctx.job.metadata;
use them when creating openai_plugin.TTS() — user-selected voice
overrides config default, user-selected style overrides default
instructions. Falls back to config defaults when not provided.
## Data Flow
Flutter Settings → SharedPreferences → POST /livekit/token body →
voice-service embeds in RoomAgentDispatch metadata →
voice-agent reads from ctx.job.metadata → TTS creation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Switch from tts-1 to gpt-4o-mini-tts for lower latency and better quality
- Change voice from alloy to coral
- Add Chinese speech instructions for natural tone control
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Switch from batch STT (gpt-4o-transcribe via /audio/transcriptions)
to streaming Realtime API (WebSocket). This eliminates the ~2s batch
upload+process latency per utterance.
Also updated nginx proxy on 67.223.119.33 to support WebSocket upgrade
for /v1/realtime endpoint.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Pass httpx.AsyncClient(verify=False) to OpenAI STT/TTS to support
self-signed certificate on OPENAI_BASE_URL proxy
- Handle generate_reply calls with no user message by falling back to
system/developer instructions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
In livekit-agents v1.x @server.rtc_session() pattern, ctx.room is not
yet connected when entrypoint is called. session.start() handles room
connection internally.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add room_input_options/room_output_options to session.start() so agent
binds audio I/O and stays in the room
- Add wait_for_participant() before starting session
- Filter AgentConfigUpdate items in agent_llm.py (no 'role' attribute)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace deprecated WorkerOptions(entrypoint_fnc=...) with AgentServer() +
@server.rtc_session() decorator. Use server.setup_fnc for prewarm. Remove
manual ctx.connect() and ctx.wait_for_participant() calls that prevented
the pipeline from properly wiring up VAD→STT→LLM→TTS.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
RoomInputOptions is deprecated in livekit-agents 1.4.x. Switch to
RoomOptions with explicit audio_input/audio_output enabled.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
LiveKit passes RoomAgentDispatch metadata through as job.metadata
(protobuf field), not via a separate agent_dispatch object. Also
use room_io.RoomInputOptions for participant targeting (livekit-agents 1.x).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
livekit-agents 1.x removed the 'participant' parameter from
AgentSession.start(). Use room_input_options with participant_identity
instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The livekit package is the client SDK and doesn't include the server-side
API module. Switch to livekit-api which provides AccessToken, VideoGrants,
RoomAgentDispatch, and RoomConfiguration needed for token generation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Upgrade websockets from ==12.0 to >=13.0 (openai[realtime] requires >=13)
- Install torch CPU-only build separately in Dockerfile to avoid ~2GB CUDA download
- Remove torch from requirements.txt (installed via --index-url cpu wheel)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Claude API supports up to 32MB PDFs; base64 encoding adds ~33% overhead.
50mb body limit covers the maximum single-document upload case.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PDF files were incorrectly wrapped as type:'image' content blocks,
causing Claude API to reject them as "Invalid image data".
- conversation-context.service: check mediaType for application/pdf,
use type:'document' block (Anthropic native PDF support) instead
- claude-agent-sdk-engine: detect both 'image' and 'document' blocks
when deciding to build multimodal SDK prompt
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update migration files to include the attachments column for
multimodal image storage. Also add ALTER TABLE migration for
existing deployments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The direct `import * as express from 'express'` caused a
MODULE_NOT_FOUND error in the Docker production image since express
is only available as a transitive dependency via @nestjs/platform-express.
Use NestExpressApplication.useBodyParser() which is the official NestJS API.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- SDK engine now constructs AsyncIterable<SDKUserMessage> with image
content blocks when attachments are present in conversationHistory,
using the SDK's native multimodal prompt format
- CLI engine logs a warning when images are detected, since the `-p`
flag only accepts text (upstream Claude CLI limitation)
- Both SDK and API engines now fully support multimodal image input
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Two major features in this commit:
1. Streaming Markdown Rendering Optimization
- Replace deprecated flutter_markdown with gpt_markdown (active, AI-optimized)
- Real-time markdown rendering during streaming (was showing raw syntax)
- Solid block cursor (█) instead of AnimationController blink
- 80ms token throttle buffer reducing rebuilds from per-token to ~12.5/sec
- RepaintBoundary isolation for markdown widget repaints
- StreamTextWidget simplified from StatefulWidget to StatelessWidget
2. Multimodal Image Input (camera + gallery + display)
- Flutter: image_picker for gallery/camera, base64 encoding, attachment
preview strip with delete, thumbnails in sent messages
- Data layer: List<String>? → List<Map<String, dynamic>>? for structured
attachment payloads through datasource/repository/usecase
- ChatAttachment model with base64Data, mediaType, fileName
- ChatMessage entity + ChatMessageModel both support attachments field
- Backend DTO, Entity (JSONB), Controller, ConversationContextService
all extended to receive, store, and reconstruct Anthropic image
content blocks in loadContext()
- Claude API engine skips duplicate user message when history already
ends with multimodal content blocks
- NestJS body parser limit raised to 10MB for base64 image payloads
- Android CAMERA permission added to manifest
- Image.memory uses cacheWidth/cacheHeight for memory efficiency
- Max 5 images per message enforced in UI
Data flow:
ImagePicker → base64Encode → ChatAttachment → POST body →
DB (JSONB) → loadContext → Anthropic image content blocks → Claude API
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
6 rounds of systematic audit identified and fixed 14 bugs across
backend controller and Flutter client:
## Backend (agent.controller.ts)
Security & Tenant Isolation:
- Add @TenantId + ForbiddenException check to cancelTask, injectMessage,
approveCommand — all 4 write endpoints now enforce tenant isolation
- Add tenantId check on session reuse in executeTask to prevent
cross-tenant session hijacking
Architecture & Correctness:
- Extract shared runTaskStream() from inline fire-and-forget block,
used by both executeTask and injectMessage to reduce duplication
- Use session.engineType (not getActiveEngine()) in cancelTask,
injectMessage, approveCommand — fixes wrong-engine-cancel when
global engine config is switched after task creation
- Add concurrent task prevention: executeTask checks for existing
RUNNING task on same session and cancels it before starting new one
- Add runningTasks Map to track task promises, awaitTaskCleanup()
helper with 3s timeout for inject to wait for partial text save
- captureSdkSessionId() captures SDK session ID into metadata
without DB save (callers persist), preventing fire-and-forget race
Cancel/Reject Improvements:
- cancelTask: idempotent (returns early if already CANCELLED/COMPLETED),
session stays 'active' (was 'cancelled'), emits cancelled WS event
- approveCommand reject: session stays 'active' (was 'cancelled'),
now emits cancelled WS event so Flutter stream listeners clean up
- approveCommand approved: collect text events and save assistant
response to conversation history on completion (was missing)
Minor:
- task.result! non-null assertion → task.result ?? 'Unknown error'
- Add findRunningBySessionId() to TaskRepository
## Flutter
API Contract Fix:
- approveCommand: route changed from /api/v1/ops/approvals/:id/approve
to /api/v1/agent/tasks/:id/approve with {approved: true} body
- rejectCommand: route changed from /api/v1/ops/approvals/:id/reject
to /api/v1/agent/tasks/:id/approve with {approved: false} body
Resource Management:
- ChatNotifier.dispose() now disconnects WebSocket to prevent
connection leak when navigating away from chat
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend (agent-engine.port.ts):
- Add `cancelled` event type: emitted when a task is cancelled (user-initiated
or injection), so Flutter can close the old stream cleanly
- Add `task_info` event type: emitted after inject to pass the new taskId to
the client, enabling cancel/re-inject on the replacement task
Flutter (features/chat/):
- ChatState: track current `taskId` alongside `sessionId`; clear on completion
or error
- Handle `TaskInfoEvent`: update taskId in state when server issues a new task
- Handle `CancelledEvent`: treat as stream termination (agentStatus → idle)
- MessageType.interrupted: new UI node (warning style) for mid-stream cancels
- _inject(): send text as an inject request while streaming; backend cancels
the current task and starts a new one with the injected message
- Input area: during streaming, hint changes to "追加指令...", Enter key calls
_inject() instead of _send(), and both inject-send + stop buttons are shown
- isAwaitingApproval kept separate from isStreaming so approval flow is not
blocked by inject mode
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Previously AgentSkillService wrote skills to public.agent_skills (TypeORM
entity with tenantId column filter), while ClaudeAgentSdkEngine read from
it0_t_{tenantId}.skills (per-tenant schema). The two tables were never
connected, so any skill added via the CRUD API was invisible to the agent.
This fix:
- Rewrites AgentSkillService to use DataSource + raw SQL against the
per-tenant schema it0_t_{tenantId}.skills
- Maps API fields: script→content, enabled→is_active
- Removes AgentSkillRepository and AgentSkill entity from module (no longer needed)
- CRUD API response shape is unchanged (fields mapped back to script/enabled)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Load active skills from the tenant's schema `skills` table and append
them to the system prompt before passing to the Claude Agent SDK. This
closes the gap where skills existed in the DB but were never surfaced
to the agent during task execution.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The createCredential method was missing the tenantId assignment,
causing a NOT NULL constraint violation on the credentials table.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Server side (session_router.py):
- /reconnect now accepts sessions in "active" state (not just "disconnected")
- When client reconnects to an active session, the old WebSocket/pipeline is
automatically replaced when the new WebSocket connects
- Only truly terminal states (e.g. "ended") return 409
Flutter side (agent_call_page.dart):
- Distinguish terminal errors (404 session gone, 409 ended) from transient
errors (network timeout, server unreachable) in reconnect loop
- Terminal errors break immediately instead of wasting retry attempts
- Extract _connectWebSocket() helper for cleaner reconnect flow
- Add DioException handling for proper HTTP status code inspection
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
OpenAI TTS returns 24kHz audio which Android MediaPlayer can't play
via FlutterSound's pcm16WAV codec. Request raw PCM and resample to
16kHz before wrapping in WAV header, matching the local TTS format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Local /synthesize and /transcribe endpoints now auto-load Kokoro/Whisper
models on first call instead of returning 503 when not pre-loaded at
startup. This allows switching between Local and OpenAI providers in the
Flutter test page without requiring server restart.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace prompt-prefix workaround with SDK's native resume mechanism.
Each tenant gets isolated HOME directory (/data/claude-tenants/{tenantId})
to prevent cross-tenant session file mixing. SDK session IDs are persisted
in session.metadata for cross-request resume support.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement DB-based conversation message storage (engine-agnostic) that
works across both Claude API and Agent SDK engines. Add ChatGPT/Claude-style
conversation history drawer in Flutter with date-grouped session list,
session switching, and new chat functionality.
Backend: entity, repository, context service, migration 004, session/message
API endpoints. Flutter: ConversationDrawer, sessionId flow from backend
response via SessionInfoEvent, session list/switch/delete support.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add STT_PROVIDER/TTS_PROVIDER config (local or openai) in settings
- Pipeline uses OpenAI API for STT/TTS when provider is "openai"
- Skip loading local models (Kokoro/faster-whisper) when using OpenAI
- VAD (Silero) always loads for speech detection
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add openai package to voice-service requirements
- Add /api/v1/test/tts/synthesize-openai (tts-1/tts-1-hd/gpt-4o-mini-tts)
- Add /api/v1/test/stt/transcribe-openai (gpt-4o-transcribe/whisper-1)
- Add OPENAI_API_KEY and OPENAI_BASE_URL env vars to voice-service
- Flutter test page: SegmentedButton to toggle Local/OpenAI provider
- All endpoints maintain same response format for easy comparison
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Claude API engine now uses streaming API (messages.stream) for real-time
text delta output instead of waiting for full response
- Agent controller accepts optional engineType body parameter to allow
callers (e.g. voice pipeline) to select a specific engine
- Fix voice_test_page.dart compilation error: replace audioplayers (not
installed) with flutter_sound (already in pubspec.yaml)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- STT: record from mic or upload audio file → faster-whisper transcription
- Round-trip: record → STT → TTS → playback (full pipeline test)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
hailin