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ray-dependencies

ray-project/ray/.claude/skills/ray-dependencies/SKILL.md

Manage Python dependencies in Ray — add/remove/upgrade packages, work with raydepsets lock files, debug dependency conflicts, and regenerate compiled requirements. Covers `python/requirements*`, `python/requirements/**`, `python/deplocks/**`, and `ci/raydepsets/configs/*.depsets.yaml`.

Skill44k starsChanged 5 months ago
  • Installs packages

What's in it

  1. Ray Dependencies
  2. When to use this skill
  3. Workflow rules (project preferences)
  4. Ray Dependency Architecture
  5. Key file locations
  6. Generating the constraints (requirementscompiled.txt)
  7. How to invoke
  8. What it does
  9. Source file lists
  10. Recompile + relock everything
  11. raydepsets System
  12. What it does
  13. Architecture
  14. Four operations
  15. Config file format
  16. Default uv pip compile flags
  17. Pre-hooks
  18. Existing config files
  19. Docker image hierarchy
  20. Marker preservation (pip-compile, multi-Python locks)
  21. Commands
  22. Build all depsets from a config
  23. Build a single named depset (and its dependencies)
  24. Build all configs at once
  25. Validate lock files are up-to-date (CI check mode)
  26. Recompile everything (compiled requirements + all lock files)
  27. Run raydepsets tests
  28. Common workflows
  29. Adding a new dependency to a Ray component
  30. Creating a new CI test environment
---
name: ray-dependencies
description: Manage Python dependencies in Ray — add/remove/upgrade packages, work with raydepsets lock files, debug dependency conflicts, and regenerate compiled requirements. Covers `python/requirements*`, `python/requirements/**`, `python/deplocks/**`, and `ci/raydepsets/configs/*.depsets.yaml`.
user-invocable: true
argument-hint: <question or task>
---

# Ray Dependencies

Expert skill for managing Python dependencies across the Ray repository: the monorepo `requirements_compiled*.txt` lock files, the raydepsets DAG-based lock file manager, modular `python/requirements/**` source files, and Docker image dependency chains.

---

## When to use this skill

**Use this skill when the user wants to:**

- Add, remove, or upgrade a Python dependency in Ray
- Create or modify a `.depsets.yaml` config file
- Understand how dependencies flow between Ray Docker images
- Debug dependency conflicts or version resolution failures
- Regenerate lock files after requirement changes
- Create a new CI test environment with locked dependencies
- Understand why a specific package version was chosen

**Not for:**

- General Python packaging questions unrelated to Ray
- Ray runtime/API questions (use Ray docs)
- Docker image build issues unrelated to dependencies

---

## Workflow rules (project preferences)

These take precedence over generic packaging advice:

1. **Source-file pins only.** Resolve conflicts by editing `python/requirements.txt`, `python/requirements/**/*.txt`, or `python/requirements/**/*.in`. Do **not** hand-edit `python/requirements_compiled*.txt` — it is a build artifact and gets overwritten on the next compile.
2. **No `ci/ci.sh` post-process hooks** for individual package fixes. Only touch `ci/ci.sh` for genuinely structural changes (new functions, new input files passed to the compiler). Never as an after-the-fact lock mutator.
3. **Use the dual-exact-pin-with-markers pattern** when a package needs different versions on different Python versions and the lock is consumed as a constraint across multiple Python targets. See *Marker preservation* below.
4. **`python/requirements.txt` ↔ `python/setup.py` must stay in sync.** The packages under the `## setup.py install_requires` block in `python/requirements.txt` are mirrored into `setup_spec.install_requires` in `python/setup.py` (around line 405). When you add, remove, or change a version bound for any package in that block, edit **both** files in the same change. The list in `setup.py` is what end users actually install via `pip install ray`; `requirements.txt` is the dev-side source of truth. Drift between them ships broken installs.
5. **`python/requirements/llm/llm-requirements.txt` ↔ `setup_spec.extras["llm"]` must stay in sync.** The `ray[llm]` extra in `python/setup.py` (around line 377) and `python/requirements/llm/llm-requirements.txt` are paired source-of-truth files for the LLM install set — both have explicit "keep in sync" comments. When you add, remove, or change a permanent version bound for any package in the LLM extra, edit **both** files. **Exception:** temporary upper-bound workaround pins (`<=X.Y.Z` to dodge a bug) may live only in `llm-requirements.txt`. They must NOT be added to `setup.py`, since `setup.py` is the public install constraint and should not advertise short-lived workarounds as future API. Strip the `<=` pin from both files once the upstream fix lands.
6. **When presenting options, list source-file fixes first.** Mention lock or `ci.sh` edits only as fallbacks with downsides called out.

---

## Ray Dependency Architecture

Ray uses a two-tier dependency management system:

1. **`requirements_compiled*.txt`** — monorepo-wide pinned dependency files, compiled via `ci/ci.sh compile_pip_dependencies`. There is a **single unified lock**: `requirements_compiled.txt` is the source of truth, and `requirements_compiled_py3.10.txt`, `requirements_compiled_py3.11.txt`, `requirements_compiled_py3.12.txt`, and `requirements_compiled_py3.13.txt` are all symlinks to it. (`requirements_compiled_py3.14.txt` is currently maintained as a separate file.)
2. **raydepsets** — a DAG-based lock file manager (`ci/raydepsets/`) that generates per-image, per-environment lock files from `.depsets.yaml` configs. Lock files live in `python/deplocks/` and `release/ray_release/byod/`.

### Key file locations

| Path | Purpose |
|---|---|
| `python/requirements.txt` | Base Ray installation requirements |
| `python/requirements_compiled.txt` | Monorepo pinned dependencies (per-Python-version variants exist) |
| `python/requirements/` | Modular requirement files by component (test, ml, data, train, tune, serve, rllib, llm) |
| `python/requirements/ml/` | ML requirement files (core, data, dl-cpu/gpu, ml, rllib, train, tune, third_party) |
| `python/requirements/data/` | Ray Data variant requirements (pyarrow versions, mongo, etc.) |
| `python/requirements/llm/` | LLM requirements (`llm-requirements.txt`, `llm-test-requirements.txt`) |
| `python/requirements/serve/` | Serve requirements and overrides |
| `python/deplocks/` | Generated lock files (output of raydepsets) |
| `docker/base-deps/requirements.in` | Docker base-deps layer requirements |
| `docker/base-extra/requirements.in` | Docker base-extra layer requirements |
| `docker/base-slim/requirements.in` | Docker slim image requirements |
| `release/ray_release/byod/` | BYOD (Bring Your Own Dependencies) files for release tests |

---

## Generating the constraints (`requirements_compiled*.txt`)

The unified compiled lock is produced by a single `bash` function in `ci/ci.sh`:

| Function | Output | Source set |
|---|---|---|
| `compile_pip_dependencies` (`ci/ci.sh:16`) | `python/requirements_compiled.txt` | `python/requirements.txt` and shared `python/requirements/**` files (test, cloud, docker, `ml/*` including `ml-requirements.txt` and `third_party.txt`, security) |

There is one source requirement set and one compiled lock shared across all Python versions; per-version differences are expressed with `python_version` markers in the source files (see *Marker preservation* below), not with separate override directories or a separate compile function.

### How to invoke

```bash
# Unified lock (shared across py3.10–3.13 via symlinks)
ci/ci.sh compile_pip_dependencies

# Custom output filename (rare)
ci/ci.sh compile_pip_dependencies my_custom_lock.txt
```

Run inside an environment matching the target Python version (the function `pip install`s `pip-tools==7.4.1` and `wheel==0.45.1` itself). aarch64/arm64 is a no-op — the function returns early because not all pinned packages have aarch64 wheels.

### What it does

Both functions wrap `pip-compile` (pip-tools 7.4.1) with the same flags:

```
pip-compile --verbose --resolver=backtracking \
  --pip-args --no-deps --strip-extras --no-header \
  --unsafe-package ray --unsafe-package pip --unsafe-package setuptools \
  -o "python/$TARGET" \
  <list of source requirement files>
```

Then two post-process `sed` passes on the output:
1. `sed -i "/@ file/d"` — strips local file:// install lines.
2. `sed -i -E 's/==([\.0-9]+)\+[^\b]*cpu/==\1/g'` — strips `+cpu` / `+pt20cpu` device-tag suffixes that the resolver inserts (otherwise `pip install` later complains about irresolvable constraints).

The function `pip install`s `numpy` and `torch` before compilation. **Why:** `pip-compile` runs with `--pip-args --no-deps`, but it still has to extract each candidate's own `install_requires` to feed the resolver. For legacy sdists (no wheel, no PEP 517 `pyproject.toml`), the only way to get metadata is to execute `setup.py egg_info` — which runs the package's `setup.py` as Python. If that `setup.py` does `import numpy` / `import torch` at module level (common for packages using `numpy.distutils` or `torch.utils.cpp_extension` for C-extension config), the import has to succeed or pip-compile aborts. pip-compile doesn't sandbox these in an isolated PEP 517 build env, so the calling Python must already have those modules installed. `dragonfly-opt` was the canonical offender (no longer in the tree); the preinstall stays because the same shape of failure recurs whenever a new sdist-only dep with imperative `setup.py` imports gets added.

### Source file lists

If you add a brand-new source requirement file under `python/requirements/**`, it will NOT be picked up automatically — you must extend the `pip-compile` source list inside `compile_pip_dependencies` in `ci/ci.sh`. This is one of the few legitimate reasons to edit `ci/ci.sh` (see workflow rule 2). A single source set feeds every Python version, so if a package needs a different version on a specific Python version, express it with markers in the source file (see *Marker preservation* below) rather than adding a separate file or override directory.

### Recompile + relock everything

After editing source requirements, the full refresh is:

```bash
ci/ci.sh compile_pip_dependencies && \
bazelisk run //ci/raydepsets:raydepsets -- build --all-configs
```

The compiled `requirements_compiled*.txt` files feed raydepsets as constraints (via the `remove-compiled-headers.sh` pre-hook, which copies them to `/tmp/ray-deps/` with GPU index URLs stripped).

---

## raydepsets System

### What it does

raydepsets models relationships between lock files as a directed acyclic graph (DAG), so when a dependency changes, downstream lock files regenerate in the correct order. It wraps `uv pip compile` with cross-file consistency guarantees.

### Architecture

```
YAML configs --> Config parser (workspace.py) --> Template expansion --> DAG (NetworkX DiGraph) --> Topological execution --> uv pip compile --> Lock files
```

**Source files:**
- `ci/raydepsets/raydepsets.py` — entry point
- `ci/raydepsets/cli.py` — CLI (`build` command) and `DependencySetManager` class
- `ci/raydepsets/workspace.py` — config parsing, `Depset` dataclass, `Workspace` class, template substitution

### Four operations

#### 1. `compile`
Runs `uv pip compile` to resolve dependencies from `.in`/`.txt` requirement files into a hash-verified lock file.

**Fields:** `requirements` (input files), `constraints` (version constraint files), `packages` (inline package specs via stdin), `output` (lock file path)

```yaml
- name: ray_img_depset_${PYTHON_SHORT}
  operation: compile
  requirements:
    - python/deplocks/ray_img/ray_dev.in
  constraints:
    - /tmp/ray-deps/requirements_compiled_py${PYTHON_VERSION}.txt
  output: python/deplocks/ray_img/ray_img_py${PYTHON_SHORT}.lock
  append_flags:
    - --python-version=${PYTHON_VERSION}
    - --unsafe-package ray
    - --python-platform=linux
  build_arg_sets: [py310, py311, py312, py313]
  pre_hooks:
    - ci/raydepsets/pre_hooks/build-placeholder-wheel.sh
    - ci/raydepsets/pre_hooks/remove-compiled-headers.sh ${PYTHON_VERSION}
```

#### 2. `subset`
Extracts a subset of already-resolved packages from another depset's lock file. Validates all requested requirements exist in the source.

**Fields:** `source_depset`, `requirements`, `output`

```yaml
- name: ray_base_deps_${PYTHON_SHORT}
  operation: subset
  source_depset: ray_base_extra_testdeps_${PYTHON_SHORT}
  requirements:
    - docker/base-deps/requirements.in
  output: python/deplocks/base_deps/ray_base_deps_py${PYTHON_VERSION}.lock
```

#### 3. `expand`
Combines multiple depsets into one, optionally adding new requirements. Recursively collects all transitive requirements from referenced depsets and recompiles.

**Fields:** `depsets` (depset names to combine), `requirements`, `constraints`, `output`

```yaml
- name: compiled_ray_llm_test_depset_${PYTHON_VERSION}_${CUDA_CODE}
  operation: expand
  depsets:
    - ray_base_test_depset_${PYTHON_VERSION}_${CUDA_CODE}
  requirements:
    - python/requirements/llm/llm-requirements.txt
    - python/requirements/llm/llm-test-requirements.txt
  constraints:
    - python/deplocks/llm/ray_test_${PYTHON_VERSION}_${CUDA_CODE}.lock
  output: python/deplocks/llm/rayllm_test_${PYTHON_VERSION}_${CUDA_CODE}.lock
```

#### 4. `relax`
Removes specified packages from another depset's lock file. Does NOT re-resolve — simple removal. Use with caution; can create inconsistent environments.

**Fields:** `source_depset`, `packages`, `output`

```yaml
- name: relaxed_data_ci_depset_${PYTHON_SHORT}
  operation: relax
  source_depset: data_base_ci_depset_${PYTHON_SHORT}
  packages:
    - pyarrow
    - numpy
    - datasets
  output: python/deplocks/ci/relaxed_data-ci_depset_py${PYTHON_VERSION}.lock
```

### Config file format

Configs use the `.depsets.yaml` extension and live in `ci/raydepsets/configs/`.

**Top-level keys:**
- `build_arg_sets` (optional) — template variable sets for matrix expansion
- `depsets` — list of dependency set definitions

**Template variables** use `${VARIABLE_NAME}`. When a depset lists multiple `build_arg_sets`, it expands into one concrete depset per set.

| Field | Type | Description |
|---|---|---|
| `name` | string | Unique identifier (supports `${VAR}` substitution) |
| `operation` | string | `compile`, `subset`, `expand`, or `relax` |
| `output` | string | Output lock file path relative to workspace root |
| `build_arg_sets` | list | Which build arg sets to expand with |
| `append_flags` | list | Additional flags passed to `uv pip compile` |
| `override_flags` | list | Flags that replace matching defaults |
| `pre_hooks` | list | Shell commands to run before execution |
| `include_setuptools` | bool | Allow setuptools in output (default: `false`) |

**YAML anchors** are supported for DRY config:
```yaml
.common_settings: &common_settings
  append_flags:
    - --python-version=${PYTHON_VERSION_STR}
    - --unsafe-package ray
  build_arg_sets: [cpu, cu128]

depsets:
  - name: my_depset
    <<: *common_settings
    operation: compile
    requirements: [requirements.txt]
    output: output.lock
```

### Default `uv pip compile` flags

Applied automatically to every `compile` call:
```
--no-header
--generate-hashes
--index-strategy unsafe-best-match
--no-strip-markers
--emit-index-url
--emit-find-links
--quiet
--unsafe-package setuptools  (unless include_setuptools: true)
```

### Pre-hooks

Shell scripts that run before a depset executes. Modeled as nodes in the DAG.

- `ci/raydepsets/pre_hooks/build-placeholder-wheel.sh` — builds a placeholder Ray wheel so `uv pip compile` can resolve Ray as a dependency
- `ci/raydepsets/pre_hooks/remove-compiled-headers.sh ${PYTHON_VERSION}` — copies `requirements_compiled` to `/tmp/ray-deps/` and strips GPU index URLs (`--extra-index-url`, `--find-links`) so they don't leak into CPU lock files

### Existing config files

| Config | Purpose |
|---|---|
| `rayimg.depsets.yaml` | Core Ray Docker images (`ray_img_depset_*`, `ray_base_deps_*`, `ray_base_extra_*`, `ray_base_slim_*`, CPU/GPU/ML/LLM variants) |
| `rayllm.depsets.yaml` | RayLLM dependencies |
| `ci_data.depsets.yaml` | Ray Data CI tests (pyarrow latest/v9/nightly variants, mongo) |
| `ci_serve.depsets.yaml` | Ray Serve CI tests |
| `data_test.depsets.yaml` | Data test dependencies |
| `docs.depsets.yaml` | Documentation build dependencies |
| `llm_release_tests.depsets.yaml` | LLM release benchmarks |
| `release_compiled_graph_gpu_cu130.depsets.yaml` | Compiled graph GPU tests |
| `release_multimodal_inference_benchmarks_tests.depsets.yaml` | Multimodal benchmarks (audio, embedding, image, video) |

### Docker image hierarchy

The Ray Docker image layer structure (from `rayimg.depsets.yaml`):

```
ray_img_depset_* (compile: core Ray image deps)
  ├── ray_base_slim_* (expand: minimal slim image)
  ├── ray_base_extra_testdeps_* (expand: full test deps, CPU)
  │     ├── ray_base_deps_* (subset: first Docker layer)
  │     └── ray_base_extra_* (subset: second Docker layer)
  ├── ray_base_extra_testdeps_gpu_* (expand: GPU test deps with CUDA)
  ├── ray_base_extra_testdeps_llm_cuda_* (expand: LLM+CUDA test deps)
  ├── ray_ml_base_extra_testdeps_cuda_* (expand: ML+CUDA test deps)
  └── ray_base_deps_tpu_* (expand: TPU deps)
```

Cross-config dependencies are supported — e.g., `ci_data.depsets.yaml` references `ray_img_depset_*` from `rayimg.depsets.yaml`.

---

## Marker preservation (pip-compile, multi-Python locks)

`pip-compile` (pip-tools 7.4.1, the version `ci/ci.sh` uses) **strips `python_version` markers** from output pins UNLESS the source declaration is **an exact-version pin with the marker attached**. This matters because the unified `requirements_compiled.txt` is consumed as a constraint at multiple `--python-version` targets via uv.

**What works (markers survive):**
```
onnxruntime==1.18.0 ; ... and python_version <= '3.10'
onnxruntime==1.24.4 ; ... and python_version > '3.10'
```
Both exact pins, each with a marker. pip-compile at py3.11 evaluates the first as false → dropped; second as true → kept. Output retains the marker. When uv consumes the lock as constraint at `--python-version=3.10`, the marker is false → constraint skipped → resolver picks an older version from the source `.in` / `.txt`.

**What does NOT work (markers get stripped):**
```
scipy<1.16 ; python_version < '3.11'
scipy ; python_version >= '3.11'
```
A range cap + an unconstrained entry. Because scipy is also pulled transitively by many other packages with no marker, the consolidated pin loses the marker. Output: bare `scipy==1.17.1`, which then forces py3.10 depset compiles to fail (no cp310 wheel).

**Fix pattern — two exact pins:**
```
scipy==1.15.3 ; python_version < '3.11'
scipy==1.17.1 ; python_version >= '3.11'
```
Even though only one branch wins at compile time, the winning exact pin survives the transitive merge because its `==A.B.C` is more specific than any transitive range.

**Where to put the pins:**
- Broad cross-cutting compat → `python/requirements.txt`
- ML-specific compat → `python/requirements/ml/ml-requirements.txt`
- Test-stack compat → `python/requirements/test-requirements.txt`
- Don't pin in `python/requirements/ml/dl-cpu-requirements.txt` for things unrelated to CPU torch.

**Classes of cliff to watch for when bumping the compiled lock:**
1. Dropped cp310 wheels (most common; detectable via PyPI `Requires-Python` ≥ 3.11).
2. Transitive upper bounds from py<3.11-only deps (e.g. `tensorflow-metadata==1.17.3` caps `protobuf<=6.32` on py<3.11; not auto-detectable from `Requires-Python`).
3. Transitive extras that pull new deps in newer versions (e.g. `jsonschema==4.25+` adds `rfc3987-syntax` to its `format-nongpl` extra, which pulls `lark==1.3.1` and clashes with vllm's `lark==1.2.2`).
4. CPU-compile transitive pulls that conflict with GPU depsets (e.g. xgboost's unpinned `nvidia-nccl-cu12` can resolve to a version that conflicts with cu128 torch's pinned nccl — fix by pinning `nvidia-nccl-cu12==<cu128-matching-version>` in `dl-cpu-requirements.txt`).

---

## Commands

### Build all depsets from a config
```bash
bazelisk run //ci/raydepsets:raydepsets -- build ci/raydepsets/configs/rayimg.depsets.yaml
```

### Build a single named depset (and its dependencies)
```bash
bazelisk run //ci/raydepsets:raydepsets -- build ci/raydepsets/configs/rayimg.depsets.yaml --name ray_img_depset_313
```

### Build all configs at once
```bash
bazelisk run //ci/raydepsets:raydepsets -- build --all-configs
```

### Validate lock files are up-to-date (CI check mode)
```bash
bazelisk run //ci/raydepsets:raydepsets -- build ci/raydepsets/configs/rayimg.depsets.yaml --check
```

### Recompile everything (compiled requirements + all lock files)
```bash
ci/ci.sh compile_pip_dependencies && bazelisk run //ci/raydepsets:raydepsets -- build --all-configs
```

### Run raydepsets tests
```bash
bazel test //ci/raydepsets:test_cli
bazel test //ci/raydepsets:test_workspace
```

---

## Common workflows

### Adding a new dependency to a Ray component

1. Identify the correct source requirements file (e.g., `python/requirements/ml/data-requirements.txt` for Ray Data).
2. Add the package with appropriate version bounds (`>=min,<max`). Use the dual-exact-pin-with-markers pattern if the version differs across Python versions.
3. Recompile monorepo deps: `ci/ci.sh compile_pip_dependencies`.
4. Rebuild affected lock files: `bazelisk run //ci/raydepsets:raydepsets -- build ci/raydepsets/configs/<relevant>.depsets.yaml`.
5. Verify with `--check`.

### Creating a new CI test environment

1. Create a `.in` file listing the extra packages.
2. Create or edit a `.depsets.yaml` config in `ci/raydepsets/configs/`.
3. Choose the right base depset to expand from (usually `ray_img_depset_*` for CPU, or a GPU variant).
4. Define the depset with `operation: expand`, referencing the base and your new requirements.
5. Output to `python/deplocks/ci/<name>.lock` or appropriate path.
6. Build and verify with `bazelisk run //ci/raydepsets:raydepsets -- build ci/raydepsets/configs/<your-config>.depsets.yaml`.

### Debugging a dependency conflict

1. Read the failing lock file and the error from `uv pip compile`.
2. Check constraints — the constraints file pins versions; conflicts arise when a new requirement is incompatible.
3. Decide whether the right fix is a source-file pin (preferred), a marker-gated dual pin, or — as a last resort — a `relax` on the base depset.
4. Check cross-config dependencies — a depset in one config may depend on depsets from another config.
5. Use `--name` to rebuild just the failing depset for faster iteration.

### Upgrading a package across all lock files

1. Update the version in the source requirements file.
2. Recompile: `ci/ci.sh compile_pip_dependencies`.
3. Rebuild: `bazelisk run //ci/raydepsets:raydepsets -- build --all-configs`.
4. Review diffs in the generated lock files to verify the upgrade propagated.

---

## Patterns and gotchas

- **CUDA variants:** GPU depsets typically use `--index https://download.pytorch.org/whl/<cuda_code>` to pull PyTorch from the correct CUDA index.
- **Platform targeting:** Use `--python-platform=linux` or `--python-platform=x86_64-manylinux_2_31` for Linux-specific resolution.
- **`--unsafe-package ray`:** Always include so `uv` doesn't try to resolve Ray from PyPI (we use a local build).
- **Constraint files at `/tmp/ray-deps/`:** Created by `remove-compiled-headers.sh`; GPU-stripped versions of `requirements_compiled`.
- **`include_setuptools: true`:** Only set for base-deps and TPU depsets that need setuptools at runtime.
- **Cross-config references:** A depset in `ci_data.depsets.yaml` can reference `ray_img_depset_*` defined in `rayimg.depsets.yaml` because all configs are loaded under `--all-configs` (or pulled in transitively when one config's depset depends on a node from another).
- **Lock file output paths:** Docker image deps go to `python/deplocks/`; release test deps go to `release/ray_release/byod/`.

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