Skip to content
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

feature: support glm-4v #5997

Merged
merged 1 commit into from
Dec 28, 2024
Merged

feature: support glm-4v #5997

merged 1 commit into from
Dec 28, 2024

Conversation

Dogtiti
Copy link
Member

@Dogtiti Dogtiti commented Dec 28, 2024

πŸ’» ε˜ζ›΄η±»εž‹ | Change Type

  • feat
  • fix
  • refactor
  • perf
  • style
  • test
  • docs
  • ci
  • chore
  • build

πŸ”€ ε˜ζ›΄θ―΄ζ˜Ž | Description of Change

πŸ“ θ‘₯充俑息 | Additional Information

Summary by CodeRabbit

  • New Features

    • Added support for GLM vision models (GLM-4V, GLM-4V Plus, GLM-4V Flash)
    • Enhanced image processing capabilities for compatible AI models
  • Improvements

    • Expanded model recognition to include new vision-capable models

Copy link

vercel bot commented Dec 28, 2024

The latest updates on your projects. Learn more about Vercel for Git β†—οΈŽ

Name Status Preview Comments Updated (UTC)
nextchat πŸ”„ Building (Inspect) Visit Preview πŸ’¬ Add feedback Dec 28, 2024 3:33pm

Copy link
Contributor

coderabbitai bot commented Dec 28, 2024

Caution

Review failed

The pull request is closed.

Walkthrough

The pull request introduces enhancements to the GLM (Generative Language Model) platform support in the application. The changes focus on improving vision model handling by adding new model recognition and updating content processing logic. Specifically, the modifications enable better support for vision-capable models like GLM-4V series by introducing new model regex patterns and updating the chat method to conditionally process image content based on the model type.

Changes

File Changes
app/client/platforms/glm.ts - Added imports for isVisionModel and preProcessImageContent functions
- Updated chat method to conditionally process message content based on vision model detection
app/constant.ts - Added regex patterns for GLM vision models: /glm-4v-plus/, /glm-4v/, /glm-4v-flash/

Sequence Diagram

sequenceDiagram
    participant Client
    participant ChatGLMApi
    participant ModelProcessor
    
    Client->>ChatGLMApi: chat(options)
    ChatGLMApi->>ModelProcessor: isVisionModel(model)
    alt Is Vision Model
        ModelProcessor-->>ChatGLMApi: true
        ChatGLMApi->>ModelProcessor: preProcessImageContent(message)
    else Is Text Model
        ModelProcessor-->>ChatGLMApi: false
        ChatGLMApi->>ModelProcessor: getMessageTextContent(message)
    end
    ChatGLMApi-->>Client: Processed Chat Response
Loading

Poem

🐰 Hop, hop, GLM's new delight!
Vision models now shine so bright
Regex patterns, fresh and keen
Processing images, sharp and clean
A rabbit's code, with pixel might! πŸ–ΌοΈ

Tip

CodeRabbit's docstrings feature is now available as part of our Early Access Program! Simply use the command @coderabbitai generate docstrings to have CodeRabbit automatically generate docstrings for your pull request. We would love to hear your feedback on Discord.


πŸ“œ Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

πŸ“₯ Commits

Reviewing files that changed from the base of the PR and between 5f96804 and 8a22c9d.

πŸ“’ Files selected for processing (2)
  • app/client/platforms/glm.ts (2 hunks)
  • app/constant.ts (1 hunks)

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❀️ Share
πŸͺ§ 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.
    • Generate unit testing code for this file.
    • 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 generate unit testing code for this file.
    • @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 generate unit testing code.
    • @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.

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. (Beta)
  • @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.

@Dogtiti Dogtiti merged commit f8b10ad into main Dec 28, 2024
1 of 2 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