- 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.
- Add MiniMax-M3 to the model selection list (set as the new default)
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed as alternatives
- Remove deprecated MiniMax-M2.5 / M2.5-highspeed entries
- Update example config and Chinese setup docs to reference M3 (512K context)
Adds an optional planner LLM role wired through KnowledgePriorityMiddleware
so KB query rewriting, date extraction, and recency classification run on a
cheap model (e.g. gpt-4o-mini, Haiku, Azure nano) instead of the user's
chat LLM. Operators opt in by setting is_planner: true on exactly one
global config; without it, behavior is unchanged.
- Added SearXNG service configuration to Docker setup, including environment variables and health checks.
- Introduced new settings management for web search in the frontend, allowing users to enable/disable and configure search engines and language preferences.
- Updated backend to support web search functionality, including database schema changes and service integration.
- Implemented health check endpoint for the web search service and integrated it into the application.
- Removed legacy SearXNG API connector references in favor of the new platform service approach.
Add full MiniMax provider support across the entire stack:
Backend:
- Add MINIMAX to LiteLLMProvider enum in db.py
- Add MINIMAX mapping to all provider_map dicts in llm_service.py,
llm_router_service.py, and llm_config.py
- Add Alembic migration (rev 106) for PostgreSQL enum
- Add MiniMax M2.5 example in global_llm_config.example.yaml
Frontend:
- Add MiniMax to LLM_PROVIDERS enum with apiBase
- Add MiniMax-M2.5 and MiniMax-M2.5-highspeed to LLM_MODELS
- Add MINIMAX to Zod validation schema
- Add MiniMax SVG icon and wire up in provider-icons
Docs:
- Add MiniMax setup guide in chinese-llm-setup.md
MiniMax uses an OpenAI-compatible API (https://api.minimax.io/v1)
with models supporting up to 204K context window.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
