feat(openai): implement openai interface #276
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Summary of ChangesHello @kasanatte, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request lays the groundwork for integrating OpenAI's Large Language Model (LLM) capabilities into the AI Assistant. It establishes a robust and thread-safe mechanism for configuring and accessing the OpenAI API, which is a critical prerequisite for all future LLM-powered features. The changes focus on setting up the core client and configuration management without introducing any user-facing functionality yet. Highlights
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Code Review
This pull request adds a new package to interface with the OpenAI API. The implementation is straightforward, using global variables and a mutex for configuration management. My review includes two main suggestions to improve the design. First, I recommend decoupling the new openai package from the application-specific options package by passing configuration primitives instead of the whole options struct. Second, for efficiency, I suggest caching the OpenAI client instance instead of creating a new one on every request. These changes will enhance the code's modularity, testability, and performance.
| func InitOpenAIConfig(opts *options.Options) { | ||
| openAIMutex.Lock() | ||
| defer openAIMutex.Unlock() | ||
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| globalOpenAIOptions = opts | ||
| openAIInitialized = true | ||
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| klog.InfoS("OpenAI configuration initialized", | ||
| "hasAPIKey", opts.OpenAIAPIKey != "", | ||
| "model", opts.OpenAIModel, | ||
| "endpoint", opts.OpenAIEndpoint) | ||
| } |
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This function takes the entire *options.Options struct, creating a tight coupling between the pkg/openai package and the application-specific cmd/api/app/options package. To improve modularity and make this package more reusable and testable, it's better to decouple pkg code from cmd code.
Consider changing the function signature to accept only the necessary configuration values as arguments, for example: func InitOpenAIConfig(apiKey, model, endpoint string). The calling code in the cmd layer would then be responsible for extracting these values from the options and passing them in. You would also need to adjust the global variables in this package to store these values directly instead of the whole options object.
| func GetOpenAIClient() (*openai.Client, error) { | ||
| openAIMutex.RLock() | ||
| defer openAIMutex.RUnlock() | ||
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| if !openAIInitialized || globalOpenAIOptions == nil { | ||
| return nil, errors.New("OpenAI not initialized, call InitOpenAIConfig first") | ||
| } | ||
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| if globalOpenAIOptions.OpenAIAPIKey == "" { | ||
| return nil, errors.New("OpenAI API key not configured") | ||
| } | ||
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| config := openai.DefaultConfig(globalOpenAIOptions.OpenAIAPIKey) | ||
| if globalOpenAIOptions.OpenAIEndpoint != "" { | ||
| config.BaseURL = globalOpenAIOptions.OpenAIEndpoint | ||
| } | ||
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| return openai.NewClientWithConfig(config), nil | ||
| } |
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This function creates a new openai.Client instance on every call. This is inefficient because it results in unnecessary object allocations. It's a better practice to create the client once and reuse the instance for subsequent calls, as go-openai clients are safe for concurrent use.
I recommend caching the client after its first creation. You can implement lazy initialization using the existing openAIMutex to ensure thread safety. For this, you would:
- Add a
globalOpenAIClient *openai.Clientvariable to the globalvarblock. - In
InitOpenAIConfig, setglobalOpenAIClient = nilto handle potential re-initialization. - Modify this function to check if
globalOpenAIClientisnil. If it is, create the client and store it. Otherwise, return the cached client.
Signed-off-by: kasanatte <[email protected]>
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What type of PR is this?
/kind feature
What this PR does / why we need it:
This PR implements the interface for connecting to the OpenAI API. It provides helper functions to create a configured OpenAI client based on the application's settings. This is a core component for providing the LLM capabilities to the AI Assistant.
Which issue(s) this PR fixes:
Fixes #273
Special notes for your reviewer:
It depends on the changes from PR #274
Does this PR introduce a user-facing change?: