mirror of
https://github.com/vxcontrol/langchaingo.git
synced 2026-08-24 21:31:28 -04:00
b2e8ae1009
- Added support for a new chunk type, ChunkTypeDone, to signal the completion of streaming sessions. - Updated various examples and tests to handle the new done chunk, ensuring proper signaling of stream completion. - Refactored streaming functions to include calls to CallWithDone, improving the clarity and reliability of streaming responses. - Enhanced documentation to reflect the changes in chunk types and their usage in streaming contexts.
101 lines
2.9 KiB
Go
101 lines
2.9 KiB
Go
package cache
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import (
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"context"
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"crypto/sha256"
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"encoding/hex"
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"encoding/json"
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"github.com/vxcontrol/langchaingo/llms"
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"github.com/vxcontrol/langchaingo/llms/streaming"
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)
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// Backend is the interface that needs to be implemented by cache backends.
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type Backend interface {
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// Get a value from the cache. If the key is not found, return `nil`.
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Get(ctx context.Context, key string) *llms.ContentResponse
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// Put a value into the cache.
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Put(ctx context.Context, key string, response *llms.ContentResponse)
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}
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// Cacher is an LLM wrapper that caches the responses from the LLM.
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type Cacher struct {
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llm llms.Model
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cache Backend
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}
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// assert that `Cacher` implements the `llms.Model` interface.
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var _ llms.Model = (*Cacher)(nil)
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// New wraps a Model and adds caching capabilities using the provided
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// cache backend.
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func New(llm llms.Model, backend Backend) *Cacher {
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return &Cacher{
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llm: llm,
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cache: backend,
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}
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}
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// Call is a simplified interface for a text-only Model, generating a single
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// string response from a single string prompt.
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//
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// Deprecated: this method is retained for backwards compatibility. Use the
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// more general [GenerateContent] instead. You can also use
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// the [GenerateFromSinglePrompt] function which provides a similar capability
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// to Call and is built on top of the new interface.
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func (c *Cacher) Call(ctx context.Context, prompt string, options ...llms.CallOption) (string, error) {
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return llms.GenerateFromSinglePrompt(ctx, c, prompt, options...)
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}
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// GenerateContent asks the model to generate content from a sequence of
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// messages. It's the most general interface for multi-modal LLMs that support
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// chat-like interactions.
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func (c *Cacher) GenerateContent(ctx context.Context, messages []llms.MessageContent, options ...llms.CallOption) (*llms.ContentResponse, error) {
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var opts llms.CallOptions
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for _, opt := range options {
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opt(&opts)
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}
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key, err := hashKeyForCache(messages, opts)
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if err != nil {
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return nil, err
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}
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if response := c.cache.Get(ctx, key); response != nil {
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if len(response.Choices) > 0 {
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// only stream the first choice.
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if err := streaming.CallWithText(ctx, opts.StreamingFunc, response.Choices[0].Content); err != nil {
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return nil, err
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}
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}
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if err := streaming.CallWithDone(ctx, opts.StreamingFunc); err != nil {
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return nil, err
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}
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return response, nil
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}
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response, err := c.llm.GenerateContent(ctx, messages, options...)
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if err != nil {
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return nil, err
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}
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c.cache.Put(ctx, key, response)
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return response, nil
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}
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// hashKeyForCache is a helper function that generates a unique key for a given
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// set of messages and call options.
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func hashKeyForCache(messages []llms.MessageContent, opts llms.CallOptions) (string, error) {
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hash := sha256.New()
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enc := json.NewEncoder(hash)
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if err := enc.Encode(messages); err != nil {
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return "", err
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}
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if err := enc.Encode(opts); err != nil {
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return "", err
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}
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return hex.EncodeToString(hash.Sum(nil)), nil
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}
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