c493ea1347
Updated all documentation and configuration files: Documentation changes: - Updated README.md to describe LLMX as LiteLLM-powered fork - Updated CLAUDE.md with LiteLLM integration details - Updated 50+ markdown files across docs/, llmx-rs/, llmx-cli/, sdk/ - Changed all references: codex → llmx, Codex → LLMX - Updated package references: @openai/codex → @llmx/llmx - Updated repository URLs: github.com/openai/codex → github.com/valknar/llmx Configuration changes: - Updated .github/dependabot.yaml - Updated .github workflow files - Updated cliff.toml (changelog configuration) - Updated Cargo.toml comments Key branding updates: - Project description: "coding agent from OpenAI" → "coding agent powered by LiteLLM" - Added attribution to original OpenAI Codex project - Documented LiteLLM integration benefits Files changed: 51 files (559 insertions, 559 deletions) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
31 lines
1.5 KiB
Markdown
31 lines
1.5 KiB
Markdown
# Containerized Development
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We provide the following options to facilitate LLMX development in a container. This is particularly useful for verifying the Linux build when working on a macOS host.
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## Docker
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To build the Docker image locally for x64 and then run it with the repo mounted under `/workspace`:
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```shell
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CODEX_DOCKER_IMAGE_NAME=llmx-linux-dev
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docker build --platform=linux/amd64 -t "$CODEX_DOCKER_IMAGE_NAME" ./.devcontainer
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docker run --platform=linux/amd64 --rm -it -e CARGO_TARGET_DIR=/workspace/llmx-rs/target-amd64 -v "$PWD":/workspace -w /workspace/llmx-rs "$CODEX_DOCKER_IMAGE_NAME"
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```
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Note that `/workspace/target` will contain the binaries built for your host platform, so we include `-e CARGO_TARGET_DIR=/workspace/llmx-rs/target-amd64` in the `docker run` command so that the binaries built inside your container are written to a separate directory.
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For arm64, specify `--platform=linux/amd64` instead for both `docker build` and `docker run`.
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Currently, the `Dockerfile` works for both x64 and arm64 Linux, though you need to run `rustup target add x86_64-unknown-linux-musl` yourself to install the musl toolchain for x64.
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## VS Code
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VS Code recognizes the `devcontainer.json` file and gives you the option to develop LLMX in a container. Currently, `devcontainer.json` builds and runs the `arm64` flavor of the container.
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From the integrated terminal in VS Code, you can build either flavor of the `arm64` build (GNU or musl):
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```shell
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cargo build --target aarch64-unknown-linux-musl
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cargo build --target aarch64-unknown-linux-gnu
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```
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