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Replace previous ralph implementation with ralph-orchestrator from the blooop conda channel. Adds configuration files and documentation. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Reviewer's GuideAdds ralph-orchestrator as a Pixi-managed dependency, wires it into the project as a convenient pixi task, and introduces default configuration, prompt templates, and documentation for using Ralph within the Claude/Pixi workflow. Sequence diagram for running Ralph via PixisequenceDiagram
actor Dev
participant Shell
participant Pixi as Pixi_environment
participant Ralph as Ralph_orchestrator_CLI
participant Files as Filesystem
Dev->>Shell: execute_pixi_run_ralph_plan_"Implement_feature_X"
Shell->>Pixi: invoke_task_ralph
Pixi->>Ralph: run_ralph_plan_with_argument_Implement_feature_X
Ralph->>Files: read_ralph.yml
Ralph->>Files: read_PROMPT.md_if_needed
Ralph->>Files: create_or_update_spec_in_specs_directory
Ralph-->>Pixi: exit_status_and_output
Pixi-->>Shell: command_result
Shell-->>Dev: show_plan_output_and_spec_location
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Hey - I've found 1 issue, and left some high level feedback:
- In
pyproject.toml, consider pinningralph-orchestratorto a specific version or constrained range instead of*to avoid unexpected breaking changes from future releases. - The README describes specs living under
specs/while the commented-outcore.specs_direxample inralph.ymluses.ralph/specs/; it would be good to align these paths or clarify the intended directory structure.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- In `pyproject.toml`, consider pinning `ralph-orchestrator` to a specific version or constrained range instead of `*` to avoid unexpected breaking changes from future releases.
- The README describes specs living under `specs/` while the commented-out `core.specs_dir` example in `ralph.yml` uses `.ralph/specs/`; it would be good to align these paths or clarify the intended directory structure.
## Individual Comments
### Comment 1
<location> `pyproject.toml:23` </location>
<code_context>
python = ">=3.10"
shellcheck = ">=0.10.0,<0.11"
devpod = ">=0.8.0,<0.9"
+ralph-orchestrator = "*"
[tool.pixi.feature.py310.dependencies]
</code_context>
<issue_to_address>
**suggestion (bug_risk):** Consider constraining the ralph-orchestrator version instead of using a wildcard.
Using `*` means any future major version could be installed, potentially breaking reproducible environments (CI, dev machines). Prefer a validated compatible range (e.g. `>=x.y,<x+1.0`), especially for tooling that affects workflows.
Suggested implementation:
```
ralph-orchestrator = ">=0.1.0,<1.0.0"
```
You should adjust the specific version range (`>=0.1.0,<1.0.0`) to match the currently validated/known-compatible versions of `ralph-orchestrator` in your project (for example, `>=0.3.2,<0.4.0` if you only support a specific minor line).
</issue_to_address>Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
Resolve conflicts keeping ralph-orchestrator over ralph-claude-code: - pyproject.toml: keep ralph-orchestrator dependency, drop ralph-claude-code and gh - .gitignore: keep .ralph/ ignore, add .claude/settings.local.json from main - PROMPT.md: keep clean ralph-orchestrator template - .claude/README.md: keep ralph-orchestrator documentation - pixi.lock: regenerated with updated dependencies
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Summary
ralphpixi task for convenience (pixi run ralph)ralph.ymlconfiguration andPROMPT.mdtemplate.claude/README.mdTest plan
pixi installsucceedspixi run ralph --versionreturns version 2.3.1pixi run ralph initandpixi run ralph runcommands🤖 Generated with Claude Code
Summary by Sourcery
Add Ralph Orchestrator as a Pixi-managed tool and document how to use it in the project.
New Features:
pixi run ralphtask for invoking the Ralph CLI.ralph.ymlconfiguration andPROMPT.mdtemplate for Ralph workflows.Documentation:
.claude/README.mdwith installation, usage, configuration, and reference links for Ralph Orchestrator.