| Commit message (Collapse) | Author | Age | Files | Lines |
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Also remove all other TTS models
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When local_only=true on a contract, all completion actions are skipped.
This adds a new option auto_merge_local that, when enabled along with
local_only, will automatically merge completed task changes to the
master/main branch locally (without pushing or creating PRs).
Changes:
- Add auto_merge_local column to contracts table (migration)
- Add auto_merge_local field to Contract model and summary
- Update CreateContractRequest and UpdateContractRequest structs
- Update contract repository create/update functions
- Add auto_merge_local to WebSocket protocol StartTask command
- Pass auto_merge_local through spawn_task and run_task functions
- Modify task manager completion logic: if local_only=true AND
auto_merge_local=true, execute 'merge' completion action locally
- Update all server handlers to retrieve and pass auto_merge_local
- Add TypeScript types to frontend components
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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* Task completion checkpoint
* Task completion checkpoint
* Task completion checkpoint
* Add Qwen3-TTS research document for live TTS replacement
Research findings for replacing Chatterbox TTS with Qwen3-TTS-12Hz-0.6B-Base:
- Current TTS: Chatterbox-Turbo-ONNX with batch-only generation, no streaming
- Qwen3-TTS: 97ms end-to-end latency, streaming support, 3-second voice cloning
- Voice cloning: Requires 3s reference audio + transcript (Makima voice planned)
- Integration: Python service with WebSocket bridge (no ONNX export available)
- Languages: 10 supported including English and Japanese
Document includes:
- Current architecture analysis (makima/src/tts.rs)
- Qwen3-TTS capabilities and requirements
- Feasibility assessment for live/streaming TTS
- Audio clip requirements for voice cloning
- Preliminary technical approach with architecture diagrams
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* [WIP] Heartbeat checkpoint - 2026-01-27 03:11:15 UTC
* Add Qwen3-TTS research documentation
Comprehensive research on replacing Chatterbox TTS with Qwen3-TTS-12Hz-0.6B-Base:
- Current TTS implementation analysis (Chatterbox-Turbo-ONNX in makima/src/tts.rs)
- Qwen3-TTS capabilities: 97ms streaming latency, voice cloning with 3s reference
- Cross-lingual support: Japanese voice (Makima/Tomori Kusunoki) speaking English
- Python microservice architecture recommendation (FastAPI + WebSocket)
- Implementation phases and technical approach
- Hardware requirements and dependencies
Key findings:
- Live/streaming TTS is highly feasible with 97ms latency
- Voice cloning fully supported with 0.95 speaker similarity
- Recommended: Python microservice with WebSocket streaming
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add comprehensive Qwen3-TTS integration specification
This specification document defines the complete integration of
Qwen3-TTS-12Hz-0.6B-Base as a replacement for the existing Chatterbox-Turbo
TTS implementation. The document covers:
## Functional Requirements
- WebSocket endpoint /api/v1/speak for streaming TTS
- Voice cloning with default Makima voice (Japanese VA speaking English)
- Support for custom voice references
- Detailed client-to-server and server-to-client message protocols
- Integration with Listen page for bidirectional speech
## Non-Functional Requirements
- Latency targets: < 200ms first audio byte
- Audio quality: 24kHz, mono, PCM16/PCM32f
- Hardware requirements: CUDA GPU with 4-8GB VRAM
- Scalability: 10 concurrent sessions per GPU
## Architecture Specification
- Python TTS microservice with FastAPI/WebSocket
- Rust proxy endpoint in makima server
- Voice prompt caching mechanism (LRU cache)
- Error handling and recovery strategies
## API Contract
- Complete WebSocket message format definitions (TypeScript)
- Error codes and responses (TTS_UNAVAILABLE, SYNTHESIS_ERROR, etc.)
- Session state machine and lifecycle management
## Voice Asset Requirements
- Makima voice clip specifications (5-10s WAV, transcript required)
- Storage location: models/voices/makima/
- Metadata format for voice management
## Testing Strategy
- Unit tests for Python TTS service and Rust proxy
- Integration tests for WebSocket flow
- Latency benchmarks with performance targets
- Test data fixtures for various text lengths
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add Qwen3-TTS implementation plan
Comprehensive implementation plan for replacing Chatterbox-TTS with
Qwen3-TTS streaming TTS service, including:
- Task breakdown with estimated hours for each phase
- Phase 1: Python TTS microservice (FastAPI, WebSocket)
- Phase 2: Rust proxy integration (speak.rs, tts_client.rs)
- Detailed file changes and new module structure
- Testing plan with unit, integration, and latency benchmarks
- Risk assessment with mitigation strategies
- Success criteria for each phase
Based on specification in docs/specs/qwen3-tts-spec.md
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add author and research references to TTS implementation plan
Add links to research documentation and author attribution.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* [WIP] Heartbeat checkpoint - 2026-01-27 03:25:06 UTC
* Add Python TTS service project structure (Phase 1.1-1.3)
Create the initial makima-tts Python service directory structure with:
- pyproject.toml with FastAPI, Qwen-TTS, and torch dependencies
- config.py with pydantic-settings TTSConfig class
- models.py with Pydantic message models (Start, Speak, Stop, Ready, etc.)
This implements tasks P1.1, P1.2, and P1.3 from the Qwen3-TTS implementation plan.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add TTS engine and voice manager for Qwen3-TTS (Phase 1.4-1.5)
Implement core TTS functionality:
- tts_engine.py: Qwen3-TTS wrapper with streaming audio chunk generation
- voice_manager.py: Voice prompt caching with LRU eviction and TTL support
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* [WIP] Heartbeat checkpoint - 2026-01-27 03:30:06 UTC
* Add TTS proxy client and message types (Phase 2.1, 2.2, 2.4)
- Add tts_client.rs with TtsConfig, TtsCircuitBreaker, TtsError,
TtsProxyClient, and TtsConnection structs for WebSocket proxying
- Add TTS message types to messages.rs (TtsAudioEncoding, TtsPriority,
TtsStartMessage, TtsSpeakMessage, TtsStopMessage, TtsClientMessage,
TtsReadyMessage, TtsAudioChunkMessage, TtsCompleteMessage,
TtsErrorMessage, TtsStoppedMessage, TtsServerMessage)
- Export tts_client module from server mod.rs
- tokio-tungstenite already present in Cargo.toml
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add TTS WebSocket handler and route (Phase 2.3, 2.5, 2.6)
- Create speak.rs WebSocket handler that proxies to Python TTS service
- Add TtsState fields (tts_client, tts_config) to AppState
- Add with_tts() builder and is_tts_healthy() methods to AppState
- Register /api/v1/speak route in the router
- Add speak module export in handlers/mod.rs
The handler forwards WebSocket messages bidirectionally between
the client and the Python TTS microservice with proper error handling.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add Makima voice profile assets for TTS voice cloning
Creates the voice assets directory structure with:
- manifest.json containing voice configuration (voice_id, speaker,
language, reference audio path, and Japanese transcript placeholder)
- README.md with instructions for obtaining voice reference audio
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add Rust-native Qwen3-TTS integration research document
Research findings for integrating Qwen3-TTS-12Hz-0.6B-Base directly into
the makima Rust codebase without Python. Key conclusions:
- ONNX export is not viable (unsupported architecture)
- Candle (HF Rust ML framework) is the recommended approach
- Model weights available in safetensors format (2.52GB total)
- Three components needed: LM backbone, code predictor, speech tokenizer
- Crane project has Qwen3-TTS as highest priority (potential upstream)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* [WIP] Heartbeat checkpoint - 2026-01-27 11:21:43 UTC
* [WIP] Heartbeat checkpoint - 2026-01-27 11:24:19 UTC
* [WIP] Heartbeat checkpoint - 2026-01-27 11:26:43 UTC
* feat: implement Rust-native Qwen3-TTS using candle framework
Replace monolithic tts.rs with modular tts/ directory structure:
- tts/mod.rs: TtsEngine trait, TtsEngineFactory, shared types (AudioChunk,
TtsError), and utility functions (save_wav, resample, argmax)
- tts/chatterbox.rs: existing ONNX-based ChatterboxTTS adapted to implement
TtsEngine trait with Mutex-wrapped sessions for Send+Sync
- tts/qwen3/mod.rs: Qwen3Tts entry point with HuggingFace model loading
- tts/qwen3/config.rs: Qwen3TtsConfig parsing from HF config.json
- tts/qwen3/model.rs: 28-layer Qwen3 transformer with RoPE, GQA (16 heads,
8 KV heads), SiLU MLP, RMS norm, and KV cache
- tts/qwen3/code_predictor.rs: 5-layer MTP module predicting 16 codebooks
- tts/qwen3/speech_tokenizer.rs: ConvNet encoder/decoder with 16-layer RVQ
- tts/qwen3/generate.rs: autoregressive generation loop with streaming support
Add candle-core, candle-nn, candle-transformers, safetensors to Cargo.toml.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: integrate TTS engine into speak WebSocket handler
- Update speak.rs handler to use TTS engine directly from SharedState
instead of returning a stub "not implemented" error
- Add TtsEngine (OnceCell lazy-loaded) to AppState in state.rs with
get_tts_engine() method for lazy initialization on first connection
- Implement full WebSocket protocol: client sends JSON speak/cancel/stop
messages, server streams binary PCM audio chunks and audio_end signals
- Create voices/makima/manifest.json for Makima voice profile configuration
- All files compile successfully with zero errors
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add /speak TTS page with WebSocket audio playback
Add a new /speak frontend page for text-to-speech via WebSocket.
The page accepts text input and streams synthesized PCM audio through
the Web Audio API. Includes model loading indicator, cancel support,
and connection status. Also adds a loading bar to the listen page
ControlPanel during WebSocket connection.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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* Task completion checkpoint
* Task completion checkpoint
* Task completion checkpoint
* Fix supervisor merge for completed tasks and make PR command synchronous
## Issue 1: makima supervisor merge doesn't work for completed tasks
When a task completes, the daemon removes it from in-memory task tracking.
This caused merge operations to fail with "Task not found".
Fixed by updating handle_merge_task_to_target() to use get_task_worktree_path()
which scans the worktrees directory as a fallback when the task is not in memory.
Also updated handle_create_pr() with the same pattern for consistency.
## Issue 2: makima supervisor pr returns immediately without result
The create_pr handler was asynchronous - it sent the CreatePR command to the
daemon and immediately returned without waiting for the result.
Fixed by:
1. Adding PrResultNotification struct and pr_results broadcast channel to AppState
2. Updating mesh_daemon.rs to broadcast PRCreated results to the channel
3. Updating create_pr() handler to subscribe to pr_results and wait for the
result with a 60-second timeout (matching the merge command pattern)
Now the PR command returns the actual pr_url and pr_number from the daemon.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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* Add local_only flag to contracts database and models
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Task completion checkpoint
* Skip automatic completion actions in local_only mode
Add `local_only` flag to contracts that prevents automatic completion
actions (branch, merge, pr) from executing when tasks complete. This
allows users to manually handle code changes via patch files or other
means when operating in local-only mode.
Changes:
- Add `local_only` field to Contract model and request types
- Add database migration for the new column
- Add `local_only` parameter to SpawnTask command in both state.rs and
daemon protocol.rs
- Modify task manager to skip completion action execution when
`local_only` is true, with appropriate logging
- Pass `local_only` flag through all task spawning paths:
- mesh_supervisor.rs (task spawn, retry, resume)
- mesh.rs (task start, reassign, continue)
- mesh_chat.rs (run task)
- contract_chat.rs (run task)
- Update repository create/update functions to handle `local_only`
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Task completion checkpoint
* Implement core patch export system
Add functionality to create uncompressed, human-readable git patches
for export. This enables users to generate patches that can be manually
applied or shared, without the compression used for internal checkpoints.
Changes:
- Add ExportPatchResult struct with patch content, file count, and line stats
- Add create_export_patch() function that generates diffs against a base SHA
- Add get_head_sha() utility function
- Add parse_diff_stat() helper to extract line counts from git output
- Add CreateExportPatch command to daemon protocol
- Add ExportPatchCreated response message to protocol
- Add handler in task manager to process export patch requests
- Add server-side handling to broadcast patch results to UI
The export patch system automatically finds the merge-base when no base
SHA is provided, trying upstream tracking branch first, then common
default branches (origin/main, origin/master, main, master).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Task completion checkpoint
* Add GitActionsPanel frontend component
* Add WorktreeFilesPanel and PatchesListPanel components
* Add local-only mode toggle to contract creation
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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* Add daemon restart feature from settings
This adds the ability to restart a connected daemon from the settings page.
The feature includes:
- Backend: RestartDaemon command added to DaemonCommand enum
- Backend: New POST /api/v1/mesh/daemons/{id}/restart endpoint
- Backend: Daemon gracefully shuts down tasks and exits with code 42
(can be used by process managers like systemd to detect restart requests)
- Frontend: restartDaemon() API function
- Frontend: Restart button in Connected Daemons section of settings
- Frontend: Confirmation dialog before restart to prevent accidental restarts
When a daemon receives the restart command, it:
1. Gracefully shuts down all running Claude processes (5s timeout)
2. Exits with code 42 to signal restart requested
3. The daemon can be restarted by a process manager or manually
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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* [WIP] Heartbeat checkpoint - 2026-01-20 22:40:37 UTC
* Task completion checkpoint
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Add comprehensive CLI documentation
- Create makima/docs/CLI.md with complete command reference for:
- makima server: HTTP/WebSocket server options
- makima daemon: Worker daemon configuration
- makima supervisor: Contract orchestration commands
- makima contract: Task-contract interaction commands
- Include configuration file examples and environment variables
- Add usage workflows for common scenarios
- Update makima/README.md with CLI overview and link to docs
Add GitHub Actions release workflow for v0.1.0
Creates automated release workflow that:
- Triggers on v* tag pushes
- Builds binaries for Linux x86_64, macOS x86_64, and macOS ARM64
- Uses Rust nightly toolchain (required for edition 2024)
- Packages binaries as .tar.gz archives
- Creates GitHub release with installation instructions
fix(ci): update macOS runner for x86_64 builds
Replace deprecated macos-13 runner with macos-15-intel for
x86_64-apple-darwin target. The macos-13 runner has been retired
by GitHub Actions.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add dismissing notifications and fix CLI task ID arg
Add worktree cleanup when contracts complete or are deleted (#21)
- Add CleanupWorktree daemon command variant
- Handle CleanupWorktree in daemon task manager
- Add cleanup_contract_worktrees helper function
- Trigger cleanup when contract status becomes 'completed'
- Trigger cleanup before contract deletion
Add Autonomous Loop Mode for persistent task completion (#20)
Implements the "Autonomous Loop Mode" feature inspired by Ralph for Claude Code.
This enables tasks to automatically restart and continue working until they
explicitly signal completion via a COMPLETION_GATE block.
Key features:
- Exit confirmation via COMPLETION_GATE: Tasks must output a <COMPLETION_GATE>
block with `ready: true` to signal completion. Without this, the task
auto-restarts using `claude --continue` to resume the conversation.
- Circuit breaker: Prevents infinite loops by detecting:
* Maximum iteration limit (default: 10)
* No progress for N consecutive iterations (default: 3)
* Same error repeated N times (default: 5)
- spawn_continue: New ProcessManager method to spawn Claude with the
`--continue` flag, resuming from the previous session state.
Toggle: Enable via `autonomous_loop` flag on contracts. When set, all tasks
spawned for that contract will run in autonomous loop mode.
Files changed:
- completion_gate.rs: COMPLETION_GATE parser and CircuitBreaker logic
- claude.rs: spawn_continue() for --continue mode spawning
- manager.rs: Autonomous loop iteration logic in run_task()
- protocol.rs: autonomousLoop field in DaemonCommand::SpawnTask
- models.rs/repository.rs: autonomous_loop column on contracts/tasks
- Migration: Adds autonomous_loop columns to contracts and tasks tables
Add get-task and output commands to supervisor CLI (#24)
Add two new supervisor subcommands:
- `makima supervisor task <task_id>` - Get individual task details
- `makima supervisor output <task_id>` - Get task output/claude log
This allows supervisors to fetch task details and claude output
directly from the CLI instead of using curl to call the task API.
Add optional bubblewrap sandboxing for Claude processes (#23)
Add --bubblewrap flag and process.bubblewrap config section to enable
running Claude Code in a bubblewrap sandbox for process isolation.
When enabled, claude processes run with filesystem restrictions:
- Root filesystem mounted read-only
- Working directory (worktree) mounted read-write
- Fresh /dev, /proc, /tmp
- Network access preserved for API calls
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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Migrations are local only currently, and must be run manually by setting POSTGRES_CONNECTION_URI
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The library still remains, but this complicates deployment due to the large size of the model, so it is removed for now
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