Resireg runs locally #24
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- Implemented the ReSiReg-Mini server in `server.py` for handling image processing and chat completions. - Created systemd service files for `twfarmbot-api`, `twfarmbot-resireg`, and `twfarmbot-ui`. - Added scripts for managing services: `install_services.sh`, `start_all.sh`, `stop_all.sh`, `restart_all.sh`, and `logs.sh`. - Ensured services are set to restart on failure and configured to run under the 'farmbot' user.
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- Cleaned up import statements and removed unused imports in resireg_cli.py, server.py, and huggingface.py. - Enhanced formatting and consistency in function definitions and calls across multiple files. - Simplified logic in the AgentLoop class for better clarity. - Updated type hints for better type safety in various functions. - Improved the structure of the chat_completions function to enhance readability. - Adjusted test assertions for clarity and consistency in test_ui.py.
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This pull request introduces the new
twfarmbot-resireg-servercomponent, integrating a local ReSiReg-Mini vision server into the TWFarmBot project. It also updates environment and documentation files to support the new vision server and adds client scripts for local inference. Additionally, a minor API change exposes chat metrics in responses.New ReSiReg-Mini vision server integration:
apps/resireg_serverpackage, including a FastAPI-based server for vision tasks (traversability, segmentation, similarity, embeddings) using theSimonSchwaiger/resireg_minimodel. Includes project metadata, a main entrypoint, and package structure. [1] [2] [3]client_infer.pyandclient_traverse.pyfor running local inference and saving result images, demonstrating how to interact with the server. [1] [2]Documentation and configuration updates:
.env.examplewith new configuration options for FarmBot, LLM planner, and the vision server, including credentials, endpoints, and safety limits.README.mdto document how to run the new vision server alongside other services, including systemd integration and log viewing.API improvement:
/chatendpoint now includes ametricsfield in its response for better observability of chat interactions.