fix: use generic LLMAgent instead of OpenAIAgent (adds support for Ge…

[marcusschiesser]

…mini and Anthropic for Agentic RAG)

Summary by CodeRabbit

• New Features

  • Introduced support for Gemini and Anthropic agents within the Agentic Retrieval-Augmented Generation (RAG) framework.

• Bug Fixes

  • Enhanced compatibility by replacing the OpenAIAgent with a more generic LLMAgent, ensuring smoother operations.

• Documentation

  • Updated patch details for the "create-llama" changeset.

[changeset-bot]

🦋 Changeset detected

Latest commit: 0476b1d

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 1 package

Name	Type
create-llama	Patch

Not sure what this means? Click here to learn what changesets are.

[Click here if you're a maintainer who wants to add another changeset to this PR](https://github.com/run-llama/create-llama/new/ms/add-gemini-anthropic?filename=.changeset/rude-pandas-dress.md&value=---%0A%22create-llama%22%3A%20patch%0A---%0A%0Afix%3A%20use%20generic%20LLMAgent%20instead%20of%20OpenAIAgent%20(adds%20support%20for%20Ge%E2%80%A6%0A)

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

The changes introduce a patch named "create-llama" that replaces the OpenAIAgent with a more generic LLMAgent. This update enhances compatibility by adding support for Gemini and Anthropic in the context of Agentic Retrieval-Augmented Generation (RAG). The control flow is adjusted to effectively utilize the capabilities of the new agent type, while the overall structure and error handling in the createChatEngine function remain unchanged.

Changes

File Path	Change Summary
.changeset/shy-bulldogs-wait.md	Added patch "create-llama"
templates/components/engines/typescript/agent/chat.ts	Replaced OpenAIAgent with LLMAgent in import and instantiation within createChatEngine function.

Possibly related PRs

• feat: use llamacloud for chat #149: Introduces a patch labeled "create-llama" and modifies chat.ts by replacing OpenAIAgent with LLMAgent.
• refactor: make components resuable for chat llm #202: Modifies the chat.ts file, changing the visibility of the generateFilters function, related to enhancing chat functionalities.
• fix: use generic LLMAgent instead of OpenAIAgent (adds support for Ge… #410: Directly addresses the replacement of OpenAIAgent with LLMAgent, emphasizing the shift towards a more generic agent type.

Suggested reviewers

• leehuwuj

🐇 In the meadow where llamas play,
A new agent hops in today.
With Gemini stars and Anthropic grace,
Our chat's now a more vibrant space!
So let’s cheer for the changes bright,
As we chat with joy, day and night! 🌟

---

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

• X
• Mastodon
• Reddit
• LinkedIn

🪧 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 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.

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.