digiteinfotech / kairon

Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
https://kairon.nimblework.com/bots
Apache License 2.0
247 stars 76 forks source link

Added LLMSecret data object and created API to list LLM models #1392

Closed himanshugt16 closed 1 month ago

himanshugt16 commented 1 month ago

Summary by CodeRabbit

coderabbitai[bot] commented 1 month ago

Walkthrough

The recent changes enhance the bot framework's support for Large Language Models (LLMs) by introducing a new management system for LLM secrets. Key updates include the addition of the LLMSecret class, improved validation mechanisms, and streamlined APIs for retrieving and managing LLM configurations. These modifications aim to increase flexibility, robustness, and integration capabilities, allowing for better handling of diverse LLMs and their secrets.

Changes

Files Change Summary
kairon/actions/definitions/bot_response.py, kairon/shared/actions/utils.py Added DEFAULT_LLM parameter for flexibility in response generation and rephrasing.
kairon/actions/definitions/prompt.py, kairon/api/app/routers/bot/action.py Introduced validations for LLM model existence before predictions, enhancing robustness.
kairon/api/app/routers/bot/bot.py, kairon/api/models.py Added new API endpoint for listing provider models and updated PromptActionConfigRequest to include bot field for validation.
kairon/importer/validator/file_validator.py, kairon/shared/admin/processor.py Updated validation methods to accept bot parameter for context-specific checks and introduced new methods for LLM secret management.
kairon/shared/admin/data_objects.py Introduced LLMSecret class for managing LLM-related secrets with enhanced validation.
tests/integration_test/action_service_test.py, tests/unit_test/admin/admin_processor_test.py Refactored tests to use LLMSecret, ensuring comprehensive coverage of new functionalities.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant API
    participant LLMSecret
    participant Sysadmin
    participant BotResponse

    User->>API: Request LLM model list
    API->>LLMSecret: Fetch model details
    LLMSecret->>Sysadmin: Retrieve LLM secrets
    Sysadmin-->>LLMSecret: Return secrets
    LLMSecret-->>API: Respond with model list
    API-->>User: Return list of available models

πŸ‡βœ¨ In the meadow bright and fair,
A bot’s secrets fill the air.
With LLMs dancing, oh what glee!
New paths for wisdom, wild and free.
Let’s hop along, our joy to share,
In fields of code, we craft with care! πŸ‡βœ¨


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](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)
Tips ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit .` - `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 generate interesting stats about this repository and render them as a table.` - `@coderabbitai show all the console.log statements in this repository.` - `@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 as 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. Additionally, you can add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. ### 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](https://docs.coderabbit.ai/guides/configure-coderabbit) 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](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](https://discord.com/invite/GsXnASn26c) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.