- Introduced lazy knowledge base retrieval mode, allowing the main agent to fetch KB content on demand via the `search_knowledge_base` tool, improving performance by skipping expensive pre-injection processes.
- Added cross-thread caching capability, enabling reuse of compiled graphs across different user chats, reducing latency for returning users.
- Updated middleware to support new lazy loading and caching features, ensuring efficient resource utilization and improved response times.
- Enhanced logging for performance tracking during knowledge retrieval and agent interactions.
- Integrated performance logging in `OtelSpanMiddleware` to track model call durations even when OTel is disabled.
- Added detailed performance metrics in `KnowledgePriorityMiddleware` for database operations and embedding processes, improving visibility into query performance.
- Utilized `get_perf_logger` for consistent logging across middleware components.
- Replaced Playwright with Scrapling's fetchers in the web crawling and YouTube processing modules for improved performance and flexibility.
- Updated proxy configuration to support dynamic proxy selection via environment variables.
- Enhanced logging to track performance metrics during web scraping operations.
- Refactored related modules to utilize the new proxy utilities and streamline the scraping process.
- Consolidated Redis configuration by introducing a single `REDIS_URL` variable for Celery broker, result backend, and app cache.
- Removed deprecated variables related to Firecrawl and Stripe token limits from `.env.example` files.
- Updated documentation to reflect changes in environment variable usage for improved clarity and maintainability.
- Replaced environment variable usage with a centralized configuration system in multiple modules, including `celery_app`, `agent_cache_store`, `sandbox`, `file_storage`, and `connector_service`.
- Enhanced maintainability and readability by sourcing configuration values from the `config` module instead of directly from environment variables.
- Updated relevant settings to ensure consistent access to configuration values across the application.
- Added a global switch `GATEWAY_ENABLED` to control the activation of all messaging gateway channels (Telegram, WhatsApp, Slack, Discord).
- Updated relevant routes and workers to check the `GATEWAY_ENABLED` flag, returning 404 for HTTP routes when disabled.
- Enhanced documentation in the `.env.example` file to reflect the new configuration option.
- Added a new utility function `isLlmOnboardingComplete` to determine if the onboarding process is complete based on the agent LLM ID and the presence of global configurations.
- Updated the onboarding logic in the `OnboardPage` and `DashboardClientLayout` components to utilize the new utility function for improved readability and maintainability.
- Updated the backend URL initialization to use a function that retrieves the URL from environment variables, enhancing configurability for different environments.
- Added support for HF_TOKEN as a secret in the Docker build workflow to enhance security during model embedding retrieval.
- Updated the Dockerfile to utilize the HF_TOKEN secret for fetching embeddings, ensuring sensitive information is handled securely.
- Added support for version tagging with 'v*' and 'beta-v*' patterns in the Docker build workflow.
- Updated the tag_release job to identify release tags and calculate the next Docker version accordingly.
- Improved error handling for version validation and adjusted conditions for build and release processes.
- Added output for commit SHA in the Docker build workflow to facilitate tagging.
- Introduced a new verification step to ensure both architectures are present for each required variant before proceeding with the release.
- Updated the finalize_release job to tag the correct commit after successful builds and verifications.
- Introduced the ZERO_AUTO_RESET environment variable to enable automatic reset of the SQLite replica in case of replication halts.
- Updated Docker Compose files to include ZERO_AUTO_RESET in service configurations.
- Enhanced documentation to clarify the purpose and usage of the new variable.
- Introduced a new docker-compose.gpu.yml file to define GPU resource reservations for backend services.
- Updated .env.example to include GPU-related environment variables and usage instructions.
- Enhanced install.ps1 and install.sh scripts to support GPU variant selection and validation for GPU count.
- Improved error handling and user feedback for invalid GPU configurations.
- Added support for multiple image variants (CPU, CUDA 12.8, CUDA 12.6) in the Docker build workflow.
- Updated Docker Compose configuration to utilize the new SURFSENSE_VARIANT environment variable for selecting image variants.
- Enhanced documentation to clarify usage of backend image variants and their corresponding environment variable settings.
- Introduced a new optional dependency group for CUDA 12.6 in pyproject.toml.
- Updated conflict resolution to include CUDA 12.6 alongside existing configurations.
- Added source configurations for PyTorch and torchvision for CUDA 12.6.
The User mapper eager-loads the oauth_accounts collection via joined load
under AUTH_TYPE=GOOGLE, so the mint endpoint's query must call .unique()
before scalar_one_or_none() to avoid InvalidRequestError (500).
- Updated Dockerfile to conditionally install PyTorch with CPU or CUDA support based on build arguments.
- Added optional dependencies for CPU and CUDA versions of PyTorch in pyproject.toml.
- Configured uv.lock to manage dependencies and conflicts between CPU and CUDA installations.
Recursive pass over the agents module to make docstrings and inline
comments concise and intent-oriented: drop narration that just restates
the code, condense verbose module/function docstrings, and keep only the
non-obvious "why" notes. No functional code changed.
