Skip to content

ollama.ccp API instead of ollama. JSON request fromat changed #105

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
May 17, 2025
Merged

Conversation

ovchynnikov
Copy link
Owner

@ovchynnikov ovchynnikov commented May 17, 2025

Summary by CodeRabbit

  • New Features
    • Enhanced LLM response generation with updated API endpoint, improved request payload, and additional parameters for more accurate and controlled outputs.
  • Chores
    • Updated dependency versions for yt-dlp and gallery-dl to ensure compatibility and access to the latest features.
    • Upgraded the GitHub Actions workflow to use a newer Docker build and push action.

@ovchynnikov ovchynnikov self-assigned this May 17, 2025
Copy link
Contributor

coderabbitai bot commented May 17, 2025

Caution

Review failed

The pull request is closed.

Walkthrough

The updates include modifying a GitHub Actions workflow to use a newer commit of the Docker build-push action, updating the API endpoint and payload structure in the LLM message response function, and bumping the versions of the yt-dlp and gallery-dl dependencies in the requirements file.

Changes

File(s) Change Summary
.github/workflows/github-actions-push-image.yml Updated the docker/build-push-action reference to a newer commit in the Docker image build and push workflow.
src/main.py Changed the LLM API endpoint and request payload structure; updated response extraction key.
src/requirements.txt Updated yt-dlp and gallery-dl package versions.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant App
    participant LLM_API

    User->>App: Send message (update)
    App->>LLM_API: POST /completion\n{prompt, n_predict, temperature, stop}
    LLM_API-->>App: JSON {content: "..."}
    App-->>User: Respond with LLM content
Loading

Note

⚡️ AI Code Reviews for VS Code, Cursor, Windsurf

CodeRabbit now has a plugin for VS Code, Cursor and Windsurf. This brings AI code reviews directly in the code editor. Each commit is reviewed immediately, finding bugs before the PR is raised. Seamless context handoff to your AI code agent ensures that you can easily incorporate review feedback.
Learn more here.


Note

⚡️ Faster reviews with caching

CodeRabbit now supports caching for code and dependencies, helping speed up reviews. This means quicker feedback, reduced wait times, and a smoother review experience overall. Cached data is encrypted and stored securely. This feature will be automatically enabled for all accounts on May 16th. To opt out, configure Review - Disable Cache at either the organization or repository level. If you prefer to disable all data retention across your organization, simply turn off the Data Retention setting under your Organization Settings.
Enjoy the performance boost—your workflow just got faster.


📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
Cache: Disabled due to data retention organization setting
Knowledge Base: Disabled due to data retention organization setting

📥 Commits

Reviewing files that changed from the base of the PR and between d255788 and a174ff1.

📒 Files selected for processing (3)
  • .github/workflows/github-actions-push-image.yml (1 hunks)
  • src/main.py (1 hunks)
  • src/requirements.txt (1 hunks)
✨ Finishing Touches
  • 📝 Generate Docstrings

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Explain this complex logic.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai explain this code block.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and explain its main purpose.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR.
  • @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@ovchynnikov ovchynnikov merged commit 56ddc20 into main May 17, 2025
6 of 7 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant