Adjust/add monkey patch 20241009 #5
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…a inclusion - Introduced `ApiServeCliContext` class to manage CLI arguments. - Added `_set_api_serve_cli_context` function to set the CLI context. - Implemented `get_stream_include_usage_status` to cache and retrieve the stream usage status. - Patched `ArgumentParser.parse_args` to set the API serve CLI context if the command is 'serve'. - Patched `openai_api_serve.check_request` to include stream usage data if enabled. - Added `_patch_api_server_add_parser` to add the `--enable-stream-include-usage` argument. - Patched `_SubParsersAction.add_parser` to include the `--enable-stream-include-usage` argument for 'api_server'. - Created `patch_all` function to apply all monkey patches.
…ild with WHL file creation and installation - Set CUDA version based on `nvcc` output and determine platform name based on architecture. - Clean up and prepare the build directory, install build dependencies with caching, and copy source files. - Build the project using `ninja`, update version information if `LMDEPLOY_VERSION` is set, and build the wheel with the determined platform name. - Process the built wheel to include CUDA version information and copy it to `/lmdeploy_build` if `WRITE_WHL` is set to `true`. - Update Dockerfile to set `LMDEPLOY_VERSION` as an argument and environment variable, copy necessary files, build the WHL file, verify it, and create a minimal stage to copy the WHL file. - Install dependencies, set CUDA architecture list, copy and install the WHL file in the final image, and display detailed information about the `LMDEPLOY_VERSION`. - Update docker-compose file to define common environment variables and logging options, set `WRITE_WHL` to `true` by default, mount necessary volumes, and specify the entrypoint script for the build service.
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