/
chat.go
320 lines (265 loc) · 8.21 KB
/
chat.go
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package internal
import (
"context"
"errors"
"io"
"math"
openai "github.com/sashabaranov/go-openai"
log "github.com/sirupsen/logrus"
)
// CreateChatCompletionStream creates a chat completion stream based on the given upstreams and messages,
// by Default it will use the upstream with the lowest "priority number" and send requests to that one.
func CreateChatCompletionStream(
cfg *Config,
logger *log.Logger,
upstreams map[string]Upstream,
messages []openai.ChatCompletionMessage,
maxTokens int,
) (<-chan string, string) {
lowestPriority := math.MaxInt
var selectedUpstream Upstream
var selectedUpstreamName string // Added to keep track of the selected upstream name
for name, upstream := range cfg.Upstreams { // Note: We're using cfg.Upstreams here
if upstream.Priority < lowestPriority {
lowestPriority = upstream.Priority
selectedUpstream = upstream
selectedUpstreamName = name // Store the name of the selected upstream
}
}
var channel <-chan string
switch selectedUpstream.Type {
case "azure":
channel = CreateAzureChatCompletionStream(cfg, logger, selectedUpstream.APIKey, selectedUpstream.URL, messages, maxTokens)
case "openai":
channel = CreateOpenAIChatCompletionStream(cfg, logger, selectedUpstream.APIKey, messages, maxTokens)
default:
logger.Error("Invalid upstream type")
return nil, ""
}
return channel, selectedUpstreamName // Return the channel and the selected upstream name
}
// New version of CreateChatCompletionStream
func CreateOpenAIRequest(
cfg *Config,
logger *log.Logger,
requestType string,
messages []openai.ChatCompletionMessage,
prompt string,
maxTokens int,
) (<-chan string, string) {
// Determine the appropriate upstream based on priority
lowestPriority := math.MaxInt
var selectedUpstream Upstream
var selectedUpstreamName string
for name, upstream := range cfg.Upstreams {
if upstream.Priority < lowestPriority {
lowestPriority = upstream.Priority
selectedUpstream = upstream
selectedUpstreamName = name
}
}
responseChannel := make(chan string)
go func() {
defer close(responseChannel)
logger.WithFields(log.Fields{"selectedUpstreamType": selectedUpstream.Type, "requestType": requestType}).Debug("I'm a bug bug bug")
switch requestType {
case "chat":
if selectedUpstream.Type == "azure" {
for content := range CreateAzureChatCompletionStream(cfg, logger, selectedUpstream.APIKey, selectedUpstream.URL, messages, maxTokens) {
responseChannel <- content
}
} else if selectedUpstream.Type == "openai" {
// Assuming you've named the OpenAI chat function "CreateOpenAIChatCompletionStream"
for content := range CreateOpenAIChatCompletionStream(cfg, logger, selectedUpstream.APIKey, messages, maxTokens) {
responseChannel <- content
}
} else {
responseChannel <- "Invalid upstream type for chat"
}
case "completion":
if selectedUpstream.Type == "azure" {
for content := range CreateAzureOpenAICompletion(cfg, logger, selectedUpstream.APIKey, selectedUpstream.URL, prompt, maxTokens) {
responseChannel <- content
}
} else if selectedUpstream.Type == "openai" {
// Assuming you have a corresponding function for OpenAI completion
for content := range CreateOpenAICompletion(cfg, logger, selectedUpstream.APIKey, prompt, maxTokens) {
responseChannel <- content
}
} else {
responseChannel <- "Invalid upstream type for completion"
}
default:
responseChannel <- "Unknown request type"
}
}()
// Return the response channel and the selected upstream name
return responseChannel, selectedUpstreamName
}
// CreateOpenAIChatCompletionStream creates a chat completion stream using OpenAI.
func CreateOpenAIChatCompletionStream(
cfg *Config,
logger *log.Logger,
apiKey string,
messages []openai.ChatCompletionMessage,
maxTokens int,
) <-chan string {
responseChannel := make(chan string)
go func() {
defer close(responseChannel)
client := openai.NewClient(apiKey)
ctx := context.Background()
req := openai.ChatCompletionRequest{
Model: openai.GPT3Dot5Turbo,
MaxTokens: maxTokens,
Messages: messages,
Stream: true,
Temperature: 0,
TopP: 0,
N: 0,
Stop: nil,
PresencePenalty: 0,
FrequencyPenalty: 0,
LogitBias: nil,
User: "",
Functions: nil,
FunctionCall: nil,
}
stream, err := client.CreateChatCompletionStream(ctx, req)
if err != nil {
logger.WithFields(log.Fields{"error": err}).Error("openai api error")
return
}
for {
response, err := stream.Recv()
if errors.Is(err, io.EOF) {
return
}
if err != nil {
logger.WithFields(log.Fields{"error": err}).Error("stream error")
return
}
responseChannel <- response.Choices[0].Delta.Content
}
}()
return responseChannel
}
// CreateAzureChatCompletionStream creates a chat completion stream using Azure.
func CreateAzureChatCompletionStream(
cfg *Config,
logger *log.Logger,
apiKey string,
azureURL string,
messages []openai.ChatCompletionMessage,
maxTokens int,
) <-chan string {
responseChannel := make(chan string)
go func() {
defer close(responseChannel)
config := openai.DefaultAzureConfig(apiKey, azureURL)
client := openai.NewClientWithConfig(config)
ctx := context.Background()
req := openai.ChatCompletionRequest{
Model: openai.GPT3Dot5Turbo,
MaxTokens: maxTokens,
Messages: messages,
Stream: true,
Temperature: 0,
TopP: 0,
N: 0,
Stop: nil,
PresencePenalty: 0,
FrequencyPenalty: 0,
LogitBias: nil,
User: "",
Functions: nil,
FunctionCall: nil,
}
stream, err := client.CreateChatCompletionStream(ctx, req)
if err != nil {
logger.WithFields(log.Fields{"error": err}).Error("openai api error")
return
}
for {
response, err := stream.Recv()
if errors.Is(err, io.EOF) {
return
}
if err != nil {
logger.WithFields(log.Fields{"error": err}).Error("stream error")
return
}
responseChannel <- response.Choices[0].Delta.Content
}
}()
return responseChannel
}
// CreateAzureOpenAICompletionStream creates an OpenAI completion stream using Azure.
func CreateAzureOpenAICompletion(
cfg *Config,
logger *log.Logger,
apiKey string,
azureURL string,
prompt string,
maxTokens int,
) <-chan string {
responseChannel := make(chan string)
logger.WithFields(log.Fields{"qqqqq": prompt, "maxtokens": maxTokens}).Debug("I'm a CreateAzureOpenAICompletion")
go func() {
defer close(responseChannel)
config := openai.DefaultAzureConfig(apiKey, azureURL) // Assuming you have a similar method for this
client := openai.NewClientWithConfig(config)
ctx := context.Background()
req := openai.CompletionRequest{
Model: openai.GPT3Ada, // Model used for completion
MaxTokens: maxTokens,
Prompt: prompt,
}
resp, err := client.CreateCompletion(ctx, req)
logger.WithFields(log.Fields{
"error": err,
"response": resp, // log the whole response object
}).Debug("openai api debug")
if err != nil {
logger.WithFields(log.Fields{
"error": err,
"response": resp, // log the whole response object
}).Error("openai api error")
return
}
// Send the completed text to the response channel
responseChannel <- resp.Choices[0].Text
}()
return responseChannel
}
// CreateOpenAICompletion creates a completion stream using OpenAI (non-Azure).
func CreateOpenAICompletion(
cfg *Config,
logger *log.Logger,
apiKey string,
prompt string,
maxTokens int,
) <-chan string {
responseChannel := make(chan string)
go func() {
defer close(responseChannel)
client := openai.NewClient(apiKey)
ctx := context.Background()
req := openai.CompletionRequest{
Model: openai.GPT3Dot5Turbo, // Model used for completion
MaxTokens: maxTokens,
Prompt: prompt,
}
resp, err := client.CreateCompletion(ctx, req)
if err != nil {
logger.WithFields(log.Fields{
"error": err,
"response": resp, // log the whole response object
}).Error("openai api error")
return
}
// Send the completed text to the response channel
responseChannel <- resp.Choices[0].Text
}()
return responseChannel
}