Merged
Conversation
… 'friend-backend' to 'chronicle-backend' across various files, including setup instructions, Docker configurations, and service logs.
Update documentation and configuration to reflect the transition from… - Bypassing rule as its required upstream
* refactor memory * add config * docstring * more cleanup * code quality * code quality * unused return * DOTTED GET * Refactor Docker and CI configurations - Removed the creation of `memory_config.yaml` from the CI workflow to streamline the process. - Updated Docker Compose files to mount `config.yml` for model registry and memory settings in both services. - Added new dependencies for Google API clients in `uv.lock` to support upcoming features. * Update configuration files for model providers and Docker setup - Changed LLM, embedding, and STT providers in `config.yml` to OpenAI and Deepgram. - Removed read-only flag from `config.yml` in Docker Compose files to allow UI configuration saving. - Updated memory configuration endpoint to accept plain text for YAML input. * Update transcription job handling to format speaker IDs - Changed variable name from `speaker_name` to `speaker_id` for clarity. - Added logic to convert integer speaker IDs from Deepgram to string format for consistent speaker labeling. * Remove loading of backend .env file in test environment setup - Eliminated the code that loads the .env file from the backends/advanced directory, simplifying the environment configuration for tests. * Enhance configuration management and setup wizard - Updated README to reflect the new setup wizard process. - Added functionality to load and save `config.yml` in the setup wizard, including default configurations for LLM and memory providers. - Improved user feedback during configuration updates, including success messages for configuration file updates. - Enabled backup of existing `config.yml` before saving changes. * Enhance HTTPS configuration in setup wizard - Added functionality to check for existing SERVER_IP in the environment file and prompt the user to reuse or enter a new IP for SSL certificates. - Improved user prompts for server IP/domain input during HTTPS setup. - Updated default behavior to use existing IP or localhost based on user input. - Changed RECORD_ONLY_ENROLLED_SPEAKERS setting in the .env template to false for broader access. * Add source parameter to audio file writing in websocket controller - Included a new `source` parameter with the value "websocket" in the `_process_batch_audio_complete` function to enhance audio file context tracking. --------- Co-authored-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>
* refactor memory * add config * docstring * more cleanup * code quality * code quality * unused return * DOTTED GET * Refactor Docker and CI configurations - Removed the creation of `memory_config.yaml` from the CI workflow to streamline the process. - Updated Docker Compose files to mount `config.yml` for model registry and memory settings in both services. - Added new dependencies for Google API clients in `uv.lock` to support upcoming features. * Update configuration files for model providers and Docker setup - Changed LLM, embedding, and STT providers in `config.yml` to OpenAI and Deepgram. - Removed read-only flag from `config.yml` in Docker Compose files to allow UI configuration saving. - Updated memory configuration endpoint to accept plain text for YAML input. * Update transcription job handling to format speaker IDs - Changed variable name from `speaker_name` to `speaker_id` for clarity. - Added logic to convert integer speaker IDs from Deepgram to string format for consistent speaker labeling. * Remove loading of backend .env file in test environment setup - Eliminated the code that loads the .env file from the backends/advanced directory, simplifying the environment configuration for tests. * Enhance configuration management and setup wizard - Updated README to reflect the new setup wizard process. - Added functionality to load and save `config.yml` in the setup wizard, including default configurations for LLM and memory providers. - Improved user feedback during configuration updates, including success messages for configuration file updates. - Enabled backup of existing `config.yml` before saving changes. * Enhance HTTPS configuration in setup wizard - Added functionality to check for existing SERVER_IP in the environment file and prompt the user to reuse or enter a new IP for SSL certificates. - Improved user prompts for server IP/domain input during HTTPS setup. - Updated default behavior to use existing IP or localhost based on user input. - Changed RECORD_ONLY_ENROLLED_SPEAKERS setting in the .env template to false for broader access. * Add source parameter to audio file writing in websocket controller - Included a new `source` parameter with the value "websocket" in the `_process_batch_audio_complete` function to enhance audio file context tracking. * Refactor error handling in system controller and update memory config routes - Replaced ValueError with HTTPException for better error handling in `save_diarization_settings` and `validate_memory_config` functions. - Introduced a new Pydantic model, `MemoryConfigRequest`, for validating memory configuration requests in the system routes. - Updated the `validate_memory_config` endpoint to accept the new request model, improving input handling and validation. --------- Co-authored-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>
* obsidian support * neo4j comment * cleanup code * unused line * unused line * Fix MemoryEntry object usage in chat service * comment * feat(obsidian): add obsidian memory search integration to chat * unit test * use rq * neo4j service * typefix * test fix * cleanup * cleanup * version changes * profile * remove unused imports * Refactor memory configuration validation endpoints - Removed the deprecated `validate_memory_config_raw` endpoint and replaced it with a new endpoint that accepts plain text for validation. - Updated the existing `validate_memory_config` endpoint to clarify that it now accepts JSON input. - Adjusted the API call in the frontend to point to the new validation endpoint. * Refactor health check model configuration loading - Updated the health check function to load model configuration from the models registry instead of the root config. - Improved error handling by logging warnings when model configuration loading fails. --------- Co-authored-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>
Adds COPY src/ src/ step after dependency installation to ensure all source files are available in the Docker image. This improves build caching while ensuring complete source code is present.
* Enhance configuration management and add new setup scripts - Updated .gitignore to include config.yml and its template. - Added config.yml.template for default configuration settings. - Introduced restart.sh script for service management. - Enhanced services.py to load config.yml and check for Obsidian/Neo4j integration. - Updated wizard.py to prompt for Obsidian/Neo4j configuration during setup and create config.yml from template if it doesn't exist. * Refactor transcription providers and enhance configuration management - Updated Docker Compose files to include the new Neo4j service configuration. - Added support for Obsidian/Neo4j integration in the setup process. - Refactored transcription providers to utilize a registry-driven approach for Deepgram and Parakeet. - Enhanced error handling and logging in transcription processes. - Improved environment variable management in test scripts to prioritize command-line overrides. - Removed deprecated Parakeet provider implementation and streamlined audio stream workers. * Update configuration management and enhance file structure, add test-matrix (#237) * Update configuration management and enhance file structure - Refactored configuration file paths to use a dedicated `config/` directory, including updates to `config.yml` and its template. - Modified service scripts to load the new configuration path for `config.yml`. - Enhanced `.gitignore` to include the new configuration files and templates. - Updated documentation to reflect changes in configuration file locations and usage. - Improved setup scripts to ensure proper creation and management of configuration files. - Added new test configurations for various provider combinations to streamline testing processes. * Add test requirements and clean up imports in wizard.py - Introduced a new `test-requirements.txt` file to manage testing dependencies. - Removed redundant import of `shutil` in `wizard.py` to improve code clarity. * Add ConfigManager for unified configuration management - Introduced a new `config_manager.py` module to handle reading and writing configurations from `config.yml` and `.env` files, ensuring backward compatibility. - Refactored `ChronicleSetup` in `backends/advanced/init.py` to utilize `ConfigManager` for loading and updating configurations, simplifying the setup process. - Removed redundant methods for loading and saving `config.yml` directly in `ChronicleSetup`, as these are now managed by `ConfigManager`. - Enhanced user feedback during configuration updates, including success messages for changes made to configuration files. * Refactor transcription provider configuration and enhance setup process - Updated `.env.template` to clarify speech-to-text configuration and removed deprecated options for Mistral. - Modified `docker-compose.yml` to streamline environment variable management by removing unused Mistral keys. - Enhanced `ChronicleSetup` in `init.py` to provide clearer user feedback and updated the transcription provider selection process to rely on `config.yml`. - Improved error handling in the websocket controller to determine the transcription provider from the model registry instead of environment variables. - Updated health check routes to reflect the new method of retrieving the transcription provider from `config.yml`. - Adjusted `config.yml.template` to include comments on transcription provider options for better user guidance. * Enhance ConfigManager with deep merge functionality - Updated the `update_memory_config` method to perform a deep merge of updates into the memory configuration, ensuring nested dictionaries are merged correctly. - Added a new `_deep_merge` method to handle recursive merging of dictionaries, improving configuration management capabilities. * Refactor run-test.sh and enhance memory extraction tests - Removed deprecated environment variable handling for TRANSCRIPTION_PROVIDER in `run-test.sh`, streamlining the configuration process. - Introduced a new `run-custom.sh` script for executing Robot tests with custom configurations, improving test flexibility. - Enhanced memory extraction tests in `audio_keywords.robot` and `memory_keywords.robot` to include detailed assertions and result handling. - Updated `queue_keywords.robot` to fail fast if a job is in a 'failed' state when expecting 'completed', improving error handling. - Refactored `test_env.py` to load environment variables with correct precedence, ensuring better configuration management. * unify tests to robot test, add some more clean up * Update health check configuration in docker-compose-test.yml (#241) - Increased the number of retries from 5 to 10 for improved resilience during service readiness checks. - Extended the start period from 30s to 60s to allow more time for services to initialize before health checks commence. * Add step to create test configuration file in robot-tests.yml - Introduced a new step in the GitHub Actions workflow to copy the test configuration file from tests/configs/deepgram-openai.yml to a new config/config.yml. - Added logging to confirm the creation of the test config file, improving visibility during the test setup process. * remove cache step since not required * coderabbit comments * Refactor ConfigManager error handling for configuration file loading - Updated the ConfigManager to raise RuntimeError exceptions when the configuration file is not found or is invalid, improving error visibility and user guidance. - Removed fallback behavior that previously returned the current directory, ensuring users are explicitly informed about missing or invalid configuration files. * Refactor _find_repo_root method in ConfigManager - Updated the _find_repo_root method to locate the repository root using the __file__ location instead of searching for config/config.yml, simplifying the logic and improving reliability. - Removed the previous error handling that raised a RuntimeError if the configuration file was not found, as the new approach assumes config_manager.py is always at the repo root. * Enhance speaker recognition service integration and error handling (#245) * Enhance speaker recognition service integration and error handling - Updated `docker-compose-test.yml` to enable speaker recognition in the test environment and added a new `speaker-service-test` service for testing purposes. - Refactored `run-test.sh` to improve the execution of Robot Framework tests from the repository root. - Enhanced error handling in `speaker_recognition_client.py` to return detailed error messages for connection issues. - Improved error logging in `speaker_jobs.py` to handle and report errors from the speaker recognition service more effectively. - Updated `Dockerfile` to copy the full source code after dependencies are cached, ensuring all necessary files are included in the image. * Remove integration tests workflow and enhance robot tests with HF_TOKEN verification - Deleted the `integration-tests.yml` workflow file to streamline CI processes. - Updated `robot-tests.yml` to include verification for the new `HF_TOKEN` secret, ensuring all required secrets are checked before running tests. * Fix key access in system admin tests to use string indexing for speakers data * Refactor Robot Framework tests and enhance error handling in memory services - Removed the creation of the test environment file from the GitHub Actions workflow to streamline setup. - Updated the Robot Framework tests to utilize a unified test script for improved consistency. - Enhanced error messages in the MemoryService class to provide more context on connection failures for LLM and vector store providers. - Added critical checks for API key presence in the OpenAIProvider class to ensure valid credentials are provided before proceeding. - Adjusted various test setup scripts to use a centralized BACKEND_DIR variable for better maintainability and clarity. * Refactor test container cleanup in run-robot-tests.sh - Updated the script to dynamically construct container names from docker-compose services, improving maintainability and reducing hardcoded values. - Enhanced the cleanup process for stuck test containers by utilizing the COMPOSE_PROJECT_NAME variable. * Enhance run-robot-tests.sh for improved logging and cleanup - Set absolute paths for consistent directory references to simplify navigation. - Capture container logs, status, and resource usage for better debugging. - Refactor cleanup process to utilize dynamic backend directory references, improving maintainability. - Ensure proper navigation back to the tests directory after operations. * Add speaker recognition configuration and update test script defaults - Introduced speaker recognition settings in config.yml.template, allowing for easy enable/disable and service URL configuration. - Updated run-robot-tests.sh to use a test-specific configuration file that disables speaker recognition for improved CI performance. - Modified deepgram-openai.yml to disable speaker recognition during CI tests to enhance execution speed. * Refactor speaker recognition configuration management - Updated docker-compose-test.yml to clarify speaker recognition settings, now controlled via config.yml for improved CI performance. - Enhanced model_registry.py to include a dedicated speaker_recognition field for better configuration handling. - Modified speaker_recognition_client.py to load configuration from config.yml, allowing for dynamic enabling/disabling of the speaker recognition service based on the configuration. * Add minimum worker count verification to infrastructure tests - Introduced a new keyword to verify that the minimum number of workers are registered, enhancing the robustness of health checks. - Updated the worker count validation test to include a wait mechanism for worker registration, improving test reliability. - Clarified comments regarding expected worker counts to reflect the distinction between RQ and audio stream workers. * Update configuration management and enhance model handling - Added OBSIDIAN_ENABLED configuration to ChronicleSetup for improved feature toggling. - Introduced speaker_recognition configuration handling in model_registry.py to streamline model loading. - Refactored imports in deepgram.py to improve clarity and reduce redundancy.
* Refactor configuration management in wizard and ChronicleSetup - Updated wizard.py to read Obsidian/Neo4j configuration from config.yml, enhancing flexibility and error handling. - Refactored ChronicleSetup to utilize ConfigManager for loading and verifying config.yml, ensuring a single source of truth. - Improved user feedback for missing configuration files and streamlined the setup process for memory and transcription providers. * Fix string formatting for error message in ChronicleSetup
#250) * added JWT issuers for audience auth for service interop and shared user accounts * amended default value in line wioth code
* Refactor configuration management in wizard and ChronicleSetup - Updated wizard.py to read Obsidian/Neo4j configuration from config.yml, enhancing flexibility and error handling. - Refactored ChronicleSetup to utilize ConfigManager for loading and verifying config.yml, ensuring a single source of truth. - Improved user feedback for missing configuration files and streamlined the setup process for memory and transcription providers. * Fix string formatting for error message in ChronicleSetup * Enhance chat configuration management and UI integration - Updated `services.py` to allow service restart with an option to recreate containers, addressing WSL2 bind mount issues. - Added new chat configuration management functions in `system_controller.py` for loading, saving, and validating chat prompts. - Introduced `ChatSettings` component in the web UI for admin users to manage chat configurations easily. - Updated API service methods in `api.ts` to support chat configuration endpoints. - Integrated chat settings into the system management page for better accessibility. * Refactor backend shutdown process and enhance chat service configuration logging - Updated `start.sh` to improve shutdown handling by explicitly killing the backend process if running. - Modified `chat_service.py` to enhance logging for loading chat system prompts, providing clearer feedback on configuration usage. - Added a new `chat` field in `model_registry.py` for better chat service configuration management. - Updated vector store query parameters in `vector_stores.py` for improved clarity and functionality. - Enhanced the chat component in the web UI to conditionally auto-scroll based on message sending status. * Return JSONResponse instead of raw result * Refactor headers creation in system admin tests * Make config.yml writable for admin updates
…282) - Removed cumulative audio offset tracking from StreamingTranscriptionConsumer as Deepgram provides cumulative timestamps directly. - Updated store_final_result method to utilize Deepgram's cumulative timestamps without adjustments. - Implemented completion signaling for transcription sessions in Redis, ensuring conversation jobs wait for all results before processing. - Improved error handling to signal completion even in case of errors, preventing conversation jobs from hanging. - Enhanced logging for better visibility of transcription completion and error states.
* UPDATE: config template updated for streaming service as deepgram * UPDATE: script updated for windows machine
* Enhance StreamingTranscriptionConsumer and conversation job handling - Removed cumulative audio offset tracking from StreamingTranscriptionConsumer as Deepgram provides cumulative timestamps directly. - Updated store_final_result method to utilize Deepgram's cumulative timestamps without adjustments. - Implemented completion signaling for transcription sessions in Redis, ensuring conversation jobs wait for all results before processing. - Improved error handling to signal completion even in case of errors, preventing conversation jobs from hanging. - Enhanced logging for better visibility of transcription completion and error states. * Enhance ASR services configuration and provider management - Updated `config.yml.template` to include capabilities for ASR providers, detailing features like word timestamps and speaker segments. - Added a new `vibevoice` provider configuration for Microsoft VibeVoice ASR, supporting speaker diarization. - Enhanced `.env.template` with clearer provider selection and model configuration options, including CUDA settings and voice activity detection. - Improved `docker-compose.yml` to support multiple ASR providers with detailed service configurations. - Introduced common utilities for audio processing and ASR service management in the `common` module, enhancing code reusability and maintainability. - Updated `README.md` to reflect the new provider-based architecture and usage instructions for starting different ASR services. * Enhance transcription provider support and capabilities management - Added support for the new `vibevoice` transcription provider, including configuration options for built-in speaker diarization. - Updated `ChronicleSetup` to include `vibevoice` in the transcription provider selection and adjusted related descriptions. - Enhanced the `ModelDef` and `Conversation` models to reflect the addition of `vibevoice` in provider options. - Introduced a new capabilities management system to validate provider features, allowing conditional execution of tasks based on provider capabilities. - Improved logging and user feedback in transcription and speaker recognition jobs to reflect the capabilities of the selected provider. - Updated documentation to include details on the new `vibevoice` provider and its features. * Enhance conversation reprocessing and job management - Introduced a new job for regenerating title and summary after memory processing to ensure fresh context is available. - Updated the reprocess_transcript and reprocess_speakers functions to enqueue title/summary jobs based on memory job dependencies, improving job chaining and execution order. - Enhanced validation for transcripts to account for provider capabilities, ensuring proper handling of diarization and segment data. - Improved logging for job enqueuing and processing stages, providing clearer insights into the workflow and dependencies. * Enhance Knowledge Graph integration and service management - Introduced support for Knowledge Graph functionality, enabling entity and relationship extraction from conversations using Neo4j. - Updated `services.py` to manage Knowledge Graph profiles and integrate with existing service commands. - Enhanced Docker Compose configurations to include Neo4j service and environment variables for Knowledge Graph setup. - Added new API routes and models for Knowledge Graph operations, including entity and relationship management. - Improved documentation and configuration templates to reflect the new Knowledge Graph features and setup instructions. * Add Knowledge Graph API routes and integrate into backend - Introduced new `knowledge_graph_routes.py` to handle API endpoints for managing knowledge graph entities, relationships, and promises. - Updated `__init__.py` to include the new knowledge graph router in the main router module. - Enhanced documentation to reflect the addition of knowledge graph functionality, improving clarity on available API routes and their purposes. * Update .gitignore to include individual plugin configuration files and SDK directory - Added entries for individual plugin config files to ensure user-specific settings are ignored. - Included the SDK directory in .gitignore to prevent unnecessary files from being tracked. * Fix: onborading improvements (#287) * Enhance setup utilities and wizard functionality - Introduced `detect_tailscale_info` function to automatically retrieve Tailscale DNS name and IP address, improving user experience for service configuration. - Added `detect_cuda_version` function to identify the system's CUDA version, streamlining compatibility checks for GPU-based services. - Updated `wizard.py` to utilize the new detection functions, enhancing service selection and configuration processes based on user input. - Improved error handling and user feedback in service setup, ensuring clearer communication during configuration steps. - Refactored existing code to improve maintainability and code reuse across setup utilities. * Update ASR service capabilities and improve speaker identification handling - Modified the capabilities of the VibeVoice ASR provider to include 'speaker_identification' and 'long_form', enhancing its feature set. - Adjusted the speaker identification logic in the VibeVoiceTranscriber to prevent double-prefixing and ensure accurate speaker representation. - Updated protocol tests to reflect the expanded list of known ASR capabilities, ensuring comprehensive validation of reported features. * Refactor audio recording controls for improved UI and functionality - Replaced MicOff icon with Square icon in MainRecordingControls and SimplifiedControls for a more intuitive user experience. - Enhanced button interactions to streamline recording start/stop actions, including a pulsing effect during recording. - Updated status messages and button states to provide clearer feedback on recording status and actions. - Improved accessibility by ensuring buttons are disabled appropriately based on recording state and microphone access. * chore:test docs and test improvements (#288) * Enhance test environment setup and configuration - Added a new interactive setup script for configuring test API keys (Deepgram, OpenAI) to streamline the testing process. - Introduced a template for the .env.test file to guide users in setting up their API keys. - Updated the Makefile to include a new 'configure' target for setting up API keys. - Enhanced the start-containers script to warn users if API keys are still set to placeholder values, improving user awareness during testing. - Updated .gitignore to include the new .env.test.template file. * Remove outdated documentation and restructure feature overview - Deleted the `features.md` file, consolidating its content into the new `overview.md` for a more streamlined documentation structure. - Updated `init-system.md` to link to the new `overview.md` instead of the removed `features.md`. - Removed `ports-and-access.md` as its content was integrated into other documentation files, enhancing clarity and reducing redundancy. - Revised the `README.md` in the advanced backend to reflect the new naming conventions and updated links to documentation. - Introduced a new `plugin-development-guide.md` to assist users in creating custom plugins, expanding the documentation for developers. * tech debt
…290) - Updated the description for the 'asr-services' to remove the specific mention of 'Parakeet', making it more general. - Improved the console output for auto-selected services to include the transcription provider label, enhancing user feedback during service selection.
* Enhance ASR service descriptions and provider feedback in wizard.py - Updated the description for the 'asr-services' to remove the specific mention of 'Parakeet', making it more general. - Improved the console output for auto-selected services to include the transcription provider label, enhancing user feedback during service selection. * Implement LangFuse integration for observability and prompt management - Added LangFuse configuration options in the .env.template for observability and prompt management. - Introduced setup_langfuse method in ChronicleSetup to handle LangFuse initialization and configuration prompts. - Enhanced prompt management by integrating a centralized PromptRegistry for dynamic prompt retrieval and registration. - Updated various services to utilize prompts from the PromptRegistry, improving flexibility and maintainability. - Refactored OpenAI client initialization to support optional LangFuse tracing, enhancing observability during API interactions. - Added new prompt defaults for memory management and conversation handling, ensuring consistent behavior across the application. * Enhance LangFuse integration and service management - Added LangFuse service configuration in services.py and wizard.py, including paths, commands, and descriptions. - Implemented auto-selection for LangFuse during service setup, improving user experience. - Enhanced service startup process to display prompt management tips for LangFuse, guiding users on editing AI prompts. - Updated run_service_setup to handle LangFuse-specific parameters, including admin credentials and API keys, ensuring seamless integration with backend services. * Feat/better reprocess memory (#300) * Enhance ASR service descriptions and provider feedback in wizard.py (#290) - Updated the description for the 'asr-services' to remove the specific mention of 'Parakeet', making it more general. - Improved the console output for auto-selected services to include the transcription provider label, enhancing user feedback during service selection. * Refactor Obsidian and Knowledge Graph integration in services and setup - Removed redundant Obsidian and Knowledge Graph configuration checks from services.py, streamlining the command execution process. - Updated wizard.py to enhance user experience by setting default options for speaker recognition during service selection. - Improved Neo4j password handling in setup processes, ensuring consistent configuration prompts and feedback. - Introduced a new cron scheduler for managing scheduled tasks, enhancing the backend's automation capabilities. - Added new entity annotation features, allowing for corrections and updates to knowledge graph entities directly through the API. * Enhance ASR services configuration and VibeVoice integration - Added new configuration options for VibeVoice ASR in defaults.yml, including batching parameters for audio processing. - Updated Docker Compose files to mount the config directory, ensuring access to ASR service configurations. - Enhanced the VibeVoice transcriber to load configuration settings from defaults.yml, allowing for dynamic adjustments via environment variables. - Introduced quantization options for model loading in the VibeVoice transcriber, improving performance and flexibility. - Refactored the speaker identification process to streamline audio handling and improve logging for better debugging. - Updated documentation to reflect new configuration capabilities and usage instructions for the VibeVoice ASR provider. * Enhance LangFuse integration and memory reprocessing capabilities - Introduced functions for checking LangFuse configuration in services.py, ensuring proper setup for observability. - Updated wizard.py to facilitate user input for LangFuse configuration, including options for local and external setups. - Implemented memory reprocessing logic in memory services to update existing memories based on speaker re-identification. - Enhanced speaker recognition client to support per-segment identification, improving accuracy during reprocessing. - Refactored various components to streamline handling of LangFuse parameters and improve overall service management. * Enhance service management and user input handling - Updated services.py to include LangFuse configuration checks during service startup, improving observability setup. - Refactored wizard.py to utilize a masked input for Neo4j password prompts, enhancing user experience and security. - Improved cron scheduler in advanced_omi_backend to manage active tasks and validate cron expressions, ensuring robust job execution. - Enhanced speaker recognition client documentation to clarify user_id limitations, preparing for future multi-user support. - Updated knowledge graph routes to enforce validation on entity updates, ensuring at least one field is provided for updates. * fix: Plugin System Refactor (#301) * Refactor connect-omi.py for improved device selection and user interaction - Replaced references to the chronicle Bluetooth library with friend_lite for device management. - Removed the list_devices function and implemented a new prompt_user_to_pick_device function to enhance user interaction when selecting OMI/Neo devices. - Updated the find_and_set_omi_mac function to utilize the new device selection method, improving the overall flow of device connection. - Added a new scan_devices.py script for quick scanning of neo/neosapien devices, enhancing usability. - Updated README.md to reflect new usage instructions and prerequisites for connecting to OMI devices over Bluetooth. - Enhanced start.sh to ensure proper environment variable setup for macOS users. * Add friend-lite-sdk: Initial implementation of Python SDK for OMI/Friend Lite BLE devices - Introduced the friend-lite-sdk, a Python SDK for OMI/Friend Lite BLE devices, enabling audio streaming, button events, and transcription functionalities. - Added LICENSE and NOTICE files to clarify licensing and attribution. - Created pyproject.toml for package management, specifying dependencies and project metadata. - Developed core modules including bluetooth connection handling, button event parsing, audio decoding, and transcription capabilities. - Implemented example usage in README.md to guide users on installation and basic functionality. - Enhanced connect-omi.py to utilize the new SDK for improved device management and event handling. - Updated requirements.txt to reference the new SDK for local development. This commit lays the foundation for further enhancements and integrations with OMI devices. * Enhance client state and plugin architecture for button event handling - Introduced a new `markers` list in `ClientState` to collect button event data during sessions. - Added `add_marker` method to facilitate the addition of markers to the current session. - Implemented `on_button_event` method in the `BasePlugin` class to handle device button events, providing context data for button state and timestamps. - Updated `PluginRouter` to route button events to the appropriate plugin handler. - Enhanced conversation job handling to attach markers from Redis sessions, improving the tracking of button events during conversations. * Move plugins locatino - Introduced the Email Summarizer plugin that automatically sends email summaries upon conversation completion. - Implemented SMTP email service for sending formatted HTML and plain text emails. - Added configuration options for SMTP settings and email content in `config.yml`. - Created setup script for easy configuration of SMTP credentials and plugin orchestration. - Enhanced documentation with usage instructions and troubleshooting tips for the plugin. - Updated existing plugin architecture to support new event handling for email summaries. * Enhance Docker Compose and Plugin Management - Added external plugins directory to Docker Compose files for better plugin management. - Updated environment variables for MongoDB and Redis services to ensure consistent behavior. - Introduced new dependencies in `uv.lock` for improved functionality. - Refactored audio processing to support various audio formats and enhance error handling. - Implemented new plugin event types and services for better integration and communication between plugins. - Enhanced conversation and session management to support new closing mechanisms and event logging. * Update audio processing and event logging - Increased the maximum event log size in PluginRouter from 200 to 1000 for improved event tracking. - Refactored audio stream producer to dynamically read audio format from Redis session metadata, enhancing flexibility in audio handling. - Updated transcription job processing to utilize session-specific audio format settings, ensuring accurate audio processing. - Enhanced audio file writing utility to accept PCM parameters, allowing for better control over audio data handling. * Add markers list to ClientState and update timeout trigger comment - Introduced a new `markers` list in `ClientState` to track button event data during conversations. - Updated comment in `open_conversation_job` to clarify the behavior of the `timeout_triggered` variable, ensuring better understanding of session management. * Refactor audio file logging and error handling - Updated audio processing logs to consistently use the `filename` variable instead of `file.filename` for clarity. - Enhanced error logging to utilize the `filename` variable, improving traceability of issues during audio processing. - Adjusted title generation logic to handle cases where the filename is "unknown," ensuring a default title is used. - Minor refactor in conversation closing logs to use `user.user_id` for better consistency in user identification. * Enhance conversation retrieval with pagination and orphan handling - Updated `get_conversations` function to support pagination through `limit` and `offset` parameters, improving performance for large datasets. - Consolidated query logic to fetch both normal and orphan conversations in a single database call, reducing round-trips and enhancing efficiency. - Modified the response structure to include total count, limit, and offset in the returned data for better client-side handling. - Adjusted database indexing to optimize queries for paginated results, ensuring faster access to conversation data. * Refactor connection logging in transcribe function - Moved connection logging for the Wyoming server to a more structured format within the `transcribe_wyoming` function. - Ensured that connection attempts and successes are logged consistently for better traceability during audio transcription processes. * Feat/neo sdk (#302) * Update friend-lite-sdk for Neo1 device support and enhance documentation - Updated the friend-lite-sdk to version 0.3.0, reflecting the transition to support OMI/Neo1 BLE wearable devices. - Refactored the Bluetooth connection handling to introduce a new `WearableConnection` class, enhancing the connection lifecycle management for wearable devices. - Added a new `Neo1Connection` class for controlling Neo1 devices, including methods for sleep and wake functionalities. - Updated UUID constants to include Neo1-specific characteristics, improving device interaction capabilities. - Revised the plugin development guide to reflect changes in device naming and connection processes. - Removed outdated local OMI Bluetooth scripts and documentation to streamline the project structure and focus on wearable client development. * Refactor backend audio streaming to use Opus codec and enhance menu app functionality - Updated backend_sender.py to stream raw Opus audio instead of PCM, improving bandwidth efficiency. - Modified stream_to_backend function to handle Opus audio data and adjusted audio chunk parameters accordingly. - Enhanced main.py with new CLI commands for device scanning and connection management, improving user experience. - Introduced menu_app.py for a macOS menu bar application, providing a user-friendly interface for device management and status display. - Added README.md to document usage instructions and configuration details for the local wearable client. - Updated requirements.txt to include new dependencies for the menu app and service management. - Implemented service.py for managing launchd service installation and configuration on macOS, enabling auto-start on login. * Refactor audio processing and queue management in local wearable client - Removed the audio queue in favor of a dedicated BLE data queue and backend queue for improved data handling. - Enhanced the `connect_and_stream` function to streamline audio decoding and writing to the local file sink. - Updated the handling of BLE data to ensure robust queue management and error logging. - Improved task management during device disconnection to ensure proper cleanup and error handling. - Updated requirements.txt to specify a minimum version for easy_audio_interfaces, ensuring compatibility.
* Enhance ASR service descriptions and provider feedback in wizard.py - Updated the description for the 'asr-services' to remove the specific mention of 'Parakeet', making it more general. - Improved the console output for auto-selected services to include the transcription provider label, enhancing user feedback during service selection. * Implement LangFuse integration for observability and prompt management - Added LangFuse configuration options in the .env.template for observability and prompt management. - Introduced setup_langfuse method in ChronicleSetup to handle LangFuse initialization and configuration prompts. - Enhanced prompt management by integrating a centralized PromptRegistry for dynamic prompt retrieval and registration. - Updated various services to utilize prompts from the PromptRegistry, improving flexibility and maintainability. - Refactored OpenAI client initialization to support optional LangFuse tracing, enhancing observability during API interactions. - Added new prompt defaults for memory management and conversation handling, ensuring consistent behavior across the application. * Enhance LangFuse integration and service management - Added LangFuse service configuration in services.py and wizard.py, including paths, commands, and descriptions. - Implemented auto-selection for LangFuse during service setup, improving user experience. - Enhanced service startup process to display prompt management tips for LangFuse, guiding users on editing AI prompts. - Updated run_service_setup to handle LangFuse-specific parameters, including admin credentials and API keys, ensuring seamless integration with backend services. * Feat/better reprocess memory (#300) * Enhance ASR service descriptions and provider feedback in wizard.py (#290) - Updated the description for the 'asr-services' to remove the specific mention of 'Parakeet', making it more general. - Improved the console output for auto-selected services to include the transcription provider label, enhancing user feedback during service selection. * Refactor Obsidian and Knowledge Graph integration in services and setup - Removed redundant Obsidian and Knowledge Graph configuration checks from services.py, streamlining the command execution process. - Updated wizard.py to enhance user experience by setting default options for speaker recognition during service selection. - Improved Neo4j password handling in setup processes, ensuring consistent configuration prompts and feedback. - Introduced a new cron scheduler for managing scheduled tasks, enhancing the backend's automation capabilities. - Added new entity annotation features, allowing for corrections and updates to knowledge graph entities directly through the API. * Enhance ASR services configuration and VibeVoice integration - Added new configuration options for VibeVoice ASR in defaults.yml, including batching parameters for audio processing. - Updated Docker Compose files to mount the config directory, ensuring access to ASR service configurations. - Enhanced the VibeVoice transcriber to load configuration settings from defaults.yml, allowing for dynamic adjustments via environment variables. - Introduced quantization options for model loading in the VibeVoice transcriber, improving performance and flexibility. - Refactored the speaker identification process to streamline audio handling and improve logging for better debugging. - Updated documentation to reflect new configuration capabilities and usage instructions for the VibeVoice ASR provider. * Enhance LangFuse integration and memory reprocessing capabilities - Introduced functions for checking LangFuse configuration in services.py, ensuring proper setup for observability. - Updated wizard.py to facilitate user input for LangFuse configuration, including options for local and external setups. - Implemented memory reprocessing logic in memory services to update existing memories based on speaker re-identification. - Enhanced speaker recognition client to support per-segment identification, improving accuracy during reprocessing. - Refactored various components to streamline handling of LangFuse parameters and improve overall service management. * Enhance service management and user input handling - Updated services.py to include LangFuse configuration checks during service startup, improving observability setup. - Refactored wizard.py to utilize a masked input for Neo4j password prompts, enhancing user experience and security. - Improved cron scheduler in advanced_omi_backend to manage active tasks and validate cron expressions, ensuring robust job execution. - Enhanced speaker recognition client documentation to clarify user_id limitations, preparing for future multi-user support. - Updated knowledge graph routes to enforce validation on entity updates, ensuring at least one field is provided for updates. * fix: Plugin System Refactor (#301) * Refactor connect-omi.py for improved device selection and user interaction - Replaced references to the chronicle Bluetooth library with friend_lite for device management. - Removed the list_devices function and implemented a new prompt_user_to_pick_device function to enhance user interaction when selecting OMI/Neo devices. - Updated the find_and_set_omi_mac function to utilize the new device selection method, improving the overall flow of device connection. - Added a new scan_devices.py script for quick scanning of neo/neosapien devices, enhancing usability. - Updated README.md to reflect new usage instructions and prerequisites for connecting to OMI devices over Bluetooth. - Enhanced start.sh to ensure proper environment variable setup for macOS users. * Add friend-lite-sdk: Initial implementation of Python SDK for OMI/Friend Lite BLE devices - Introduced the friend-lite-sdk, a Python SDK for OMI/Friend Lite BLE devices, enabling audio streaming, button events, and transcription functionalities. - Added LICENSE and NOTICE files to clarify licensing and attribution. - Created pyproject.toml for package management, specifying dependencies and project metadata. - Developed core modules including bluetooth connection handling, button event parsing, audio decoding, and transcription capabilities. - Implemented example usage in README.md to guide users on installation and basic functionality. - Enhanced connect-omi.py to utilize the new SDK for improved device management and event handling. - Updated requirements.txt to reference the new SDK for local development. This commit lays the foundation for further enhancements and integrations with OMI devices. * Enhance client state and plugin architecture for button event handling - Introduced a new `markers` list in `ClientState` to collect button event data during sessions. - Added `add_marker` method to facilitate the addition of markers to the current session. - Implemented `on_button_event` method in the `BasePlugin` class to handle device button events, providing context data for button state and timestamps. - Updated `PluginRouter` to route button events to the appropriate plugin handler. - Enhanced conversation job handling to attach markers from Redis sessions, improving the tracking of button events during conversations. * Move plugins locatino - Introduced the Email Summarizer plugin that automatically sends email summaries upon conversation completion. - Implemented SMTP email service for sending formatted HTML and plain text emails. - Added configuration options for SMTP settings and email content in `config.yml`. - Created setup script for easy configuration of SMTP credentials and plugin orchestration. - Enhanced documentation with usage instructions and troubleshooting tips for the plugin. - Updated existing plugin architecture to support new event handling for email summaries. * Enhance Docker Compose and Plugin Management - Added external plugins directory to Docker Compose files for better plugin management. - Updated environment variables for MongoDB and Redis services to ensure consistent behavior. - Introduced new dependencies in `uv.lock` for improved functionality. - Refactored audio processing to support various audio formats and enhance error handling. - Implemented new plugin event types and services for better integration and communication between plugins. - Enhanced conversation and session management to support new closing mechanisms and event logging. * Update audio processing and event logging - Increased the maximum event log size in PluginRouter from 200 to 1000 for improved event tracking. - Refactored audio stream producer to dynamically read audio format from Redis session metadata, enhancing flexibility in audio handling. - Updated transcription job processing to utilize session-specific audio format settings, ensuring accurate audio processing. - Enhanced audio file writing utility to accept PCM parameters, allowing for better control over audio data handling. * Add markers list to ClientState and update timeout trigger comment - Introduced a new `markers` list in `ClientState` to track button event data during conversations. - Updated comment in `open_conversation_job` to clarify the behavior of the `timeout_triggered` variable, ensuring better understanding of session management. * Refactor audio file logging and error handling - Updated audio processing logs to consistently use the `filename` variable instead of `file.filename` for clarity. - Enhanced error logging to utilize the `filename` variable, improving traceability of issues during audio processing. - Adjusted title generation logic to handle cases where the filename is "unknown," ensuring a default title is used. - Minor refactor in conversation closing logs to use `user.user_id` for better consistency in user identification. * Enhance conversation retrieval with pagination and orphan handling - Updated `get_conversations` function to support pagination through `limit` and `offset` parameters, improving performance for large datasets. - Consolidated query logic to fetch both normal and orphan conversations in a single database call, reducing round-trips and enhancing efficiency. - Modified the response structure to include total count, limit, and offset in the returned data for better client-side handling. - Adjusted database indexing to optimize queries for paginated results, ensuring faster access to conversation data. * Refactor connection logging in transcribe function - Moved connection logging for the Wyoming server to a more structured format within the `transcribe_wyoming` function. - Ensured that connection attempts and successes are logged consistently for better traceability during audio transcription processes. * Refactor configuration management and enhance plugin architecture - Replaced PyYAML with ruamel.yaml for improved YAML handling, preserving quotes and enhancing configuration loading. - Updated ConfigManager to utilize ruamel.yaml for loading and saving configuration files, ensuring better error handling and validation. - Enhanced service startup messages to display access URLs for backend services, improving user experience. - Introduced new plugin health tracking in PluginRouter, allowing for better monitoring of plugin initialization and error states. - Refactored audio stream client and conversation management to streamline audio processing and improve error handling. - Updated Docker and requirements configurations to include ruamel.yaml, ensuring compatibility across environments. * refactor clean up script * cleanup partial mycelia integration * Refactor configuration management and remove Mycelia integration - Updated ConfigManager to remove references to the Mycelia memory provider, simplifying the memory provider options to only include "chronicle" and "openmemory_mcp". - Cleaned up Makefile by removing Mycelia-related targets and help descriptions, streamlining the build process. - Enhanced cleanup script documentation for clarity on usage and options. - Introduced LLM operation configurations to improve model management and prompt optimization capabilities. * Refactor Docker and cleanup scripts to remove 'uv' command usage - Updated cleanup.sh to directly execute the Python script without 'uv' command. - Modified Docker Compose files to remove 'uv run' from service commands, simplifying execution. - Enhanced start.sh to reflect changes in command usage and improve clarity in usage instructions. - Introduced a new transcription job timeout configuration in the backend, allowing for dynamic timeout settings. - Added insert annotation functionality in the API, enabling users to insert new segments in conversations. - Implemented memory retrieval for conversations, enhancing the ability to fetch related memories. - Improved error handling and logging across various modules for better traceability and debugging. * Add backend worker health check and job clearing functionality - Introduced a new function `get_backend_worker_health` to retrieve health metrics from the backend's /health endpoint, including worker count and queue status. - Updated `show_quick_status` to display worker health information, alerting users to potential issues with registered workers. - Added a new API endpoint `/jobs` to allow admin users to clear finished and failed jobs from all queues, enhancing job management capabilities. - Updated the frontend Queue component to include a button for clearing jobs, improving user interaction and management of job statuses. * Update plugin event descriptions and refactor event handling - Reduced redundancy by embedding descriptions directly within the PluginEvent enum, enhancing clarity and maintainability. - Removed the EVENT_DESCRIPTIONS dictionary, streamlining the event handling process in the plugin assistant. - Updated references in the plugin assistant to utilize the new description attributes, ensuring consistent event metadata usage.
- Introduced error counting and detailed error status reporting in the SpeakerRecognitionClient, allowing for better tracking of identification failures. - Updated the result structure to include error messages when all identification requests fail, improving user feedback on service health. - Adjusted the speaker_jobs worker to incorporate partial error reporting in metadata, enhancing the overall robustness of speaker recognition processes. - Updated Dockerfile to use a newer Python base image for improved compatibility.
…on retrieval - Updated conversation fetching logic to use the Beanie model instead of direct database queries, enhancing code clarity and maintainability. - Simplified transcript and summary retrieval by leveraging computed properties from the Conversation model. - Improved error handling for missing conversations, transcripts, and summaries, ensuring better user feedback during email processing.
…amline email handling - Eliminated MongoDB database handle and related user email retrieval logic, simplifying the email sending process. - Updated user email acquisition to directly use the configured SMTP username, enhancing clarity and reducing potential errors. - Improved error messaging for missing SMTP configuration, ensuring better feedback during email delivery attempts.
- Removed the title and summary generation logic from the transcription job, delegating this responsibility to the `generate_title_summary_job` after speaker recognition. - Updated the `EmailSummarizerPlugin` to trigger email summaries after all conversation processing is complete, ensuring final titles and summaries are included. - Enhanced error handling and logging for the email summarization process, improving feedback during email delivery attempts.
- Refactored the device scanning logic to return all matching known or auto-discovered devices, improving flexibility in device selection. - Introduced a new interactive prompt for users to select from multiple discovered devices, enhancing user experience. - Updated the connection handling to support specific MAC address targeting, allowing for more precise device management. - Improved the backend streaming URI construction by URL-encoding the device name, ensuring compatibility with special characters.
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| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
- Introduced a new `devices.yml.template` for configuring known wearable devices, facilitating easier setup for users. - Updated the main application to automatically create a `devices.yml` from the template if it doesn't exist, improving user experience. - Enhanced BLE scanning logic to utilize advertisement data for better device identification and management. - Implemented functionality to save the last connected device's MAC address in the configuration, allowing for seamless reconnections. - Minor adjustments to the menu application for improved logging and user feedback during device management.
- Added support for handling button events in the websocket controller, allowing for real-time interaction with button states. - Introduced a health check method in the BasePlugin class to verify connectivity with external services, enhancing plugin reliability. - Implemented a connectivity check endpoint in the system routes to provide live status updates for all initialized plugins. - Updated the PluginRouter to handle button events and ensure they bypass transcript-based conditions for execution. - Enhanced the frontend to display connectivity status for plugins, improving user experience and monitoring capabilities.
|
| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
- Updated the conversation search function to utilize the pymongo collection instead of the motor collection, improving database interaction consistency. - Adjusted the match filter to ensure proper querying of non-deleted conversations during full-text search operations.
|
| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
|
| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
- Introduced battery level UUIDs and methods for reading and subscribing to battery level notifications in the Bluetooth connection class. - Updated the connection handling to log and manage battery level updates, enhancing user awareness of device status. - Modified the main application to display battery level information in the connection status, improving user experience.
|
| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
|
| Metric | Count |
|---|---|
| ✅ Passed | 102 |
| ❌ Failed | 17 |
| 📊 Total | 119 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
- Added support for starring conversations, allowing users to mark important discussions. - Updated conversation model to include 'starred' status and timestamp. - Implemented API endpoints for toggling star status and retrieving starred conversations. - Enhanced conversation retrieval logic to support filtering by starred status and sorting options. - Improved frontend components to display and manage starred conversations effectively.
|
| Metric | Count |
|---|---|
| ✅ Passed | 104 |
| ❌ Failed | 17 |
| 📊 Total | 121 |
📊 View Reports
GitHub Pages (Live Reports):
Download Artifacts:
- robot-test-reports-html-no-api - HTML reports
- robot-test-results-xml-no-api - XML output
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