add Dockerfile

Dockerfile

@@ -0,0 +1,32 @@
+# Use a Python image with uv pre-installed
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
+
+# Set working dir to `/trae-api`
+WORKDIR /trae-api
+
+# Enable bytecode compilation
+ENV UV_COMPILE_BYTECODE=1
+
+# Copy from the cache instead of linking since it's a mounted volume
+ENV UV_LINK_MODE=copy
+
+# Install the project's dependencies using the lockfile and settings
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv sync --frozen --no-install-project --no-dev
+
+# Then, add the rest of the project source code and install it
+# Installing separately from its dependencies allows optimal layer caching
+ADD . /trae-api
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --no-dev
+
+# Place executables in the environment at the front of the path
+ENV PATH="/trae-api/.venv/bin:$PATH"
+
+# Reset the entrypoint, don't invoke `uv`
+ENTRYPOINT []
+
+# Run server.py by default
+CMD ["python", "server.py"]

README.md

@@ -62,6 +62,9 @@ uvicorn --host 0.0.0.0 --port 8000 --reload --log-level debug src.app:app
 
 ### 使用 docker 部署
 
+```shell
+docker run --rm -p 8000:8000 -v /path/to/.env:/trae-api/.env ghcr.io/a-23187/trae-api:latest
+```
 
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