feat: PaLM support is WIP (#105)
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@ -129,6 +129,7 @@ const (
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ChannelTypeCustom = 8
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ChannelTypeAILS = 9
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ChannelTypeAIProxy = 10
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ChannelTypePaLM = 11
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)
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var ChannelBaseURLs = []string{
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@ -143,4 +144,5 @@ var ChannelBaseURLs = []string{
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"", // 8
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"https://api.caipacity.com", // 9
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"https://api.aiproxy.io", // 10
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"", // 11
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}
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59
controller/relay-palm.go
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59
controller/relay-palm.go
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@ -0,0 +1,59 @@
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package controller
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import (
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"fmt"
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"github.com/gin-gonic/gin"
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)
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type PaLMChatMessage struct {
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Author string `json:"author"`
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Content string `json:"content"`
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}
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type PaLMFilter struct {
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Reason string `json:"reason"`
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Message string `json:"message"`
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}
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
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type PaLMChatRequest struct {
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Prompt []Message `json:"prompt"`
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Temperature float64 `json:"temperature"`
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CandidateCount int `json:"candidateCount"`
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TopP float64 `json:"topP"`
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TopK int `json:"topK"`
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}
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
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type PaLMChatResponse struct {
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Candidates []Message `json:"candidates"`
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Messages []Message `json:"messages"`
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Filters []PaLMFilter `json:"filters"`
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}
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func relayPaLM(openAIRequest GeneralOpenAIRequest, c *gin.Context) *OpenAIErrorWithStatusCode {
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage
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messages := make([]PaLMChatMessage, 0, len(openAIRequest.Messages))
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for _, message := range openAIRequest.Messages {
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var author string
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if message.Role == "user" {
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author = "0"
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} else {
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author = "1"
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}
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messages = append(messages, PaLMChatMessage{
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Author: author,
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Content: message.Content,
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})
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}
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request := PaLMChatRequest{
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Prompt: nil,
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Temperature: openAIRequest.Temperature,
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CandidateCount: openAIRequest.N,
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TopP: openAIRequest.TopP,
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TopK: openAIRequest.MaxTokens,
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}
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// TODO: forward request to PaLM & convert response
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fmt.Print(request)
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return nil
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}
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@ -19,6 +19,19 @@ type Message struct {
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Name *string `json:"name,omitempty"`
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}
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// https://platform.openai.com/docs/api-reference/chat
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type GeneralOpenAIRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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Prompt string `json:"prompt"`
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Stream bool `json:"stream"`
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MaxTokens int `json:"max_tokens"`
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Temperature float64 `json:"temperature"`
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TopP float64 `json:"top_p"`
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N int `json:"n"`
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}
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type ChatRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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@ -101,8 +114,8 @@ func relayHelper(c *gin.Context) *OpenAIErrorWithStatusCode {
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channelType := c.GetInt("channel")
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tokenId := c.GetInt("token_id")
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consumeQuota := c.GetBool("consume_quota")
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var textRequest TextRequest
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if consumeQuota || channelType == common.ChannelTypeAzure {
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var textRequest GeneralOpenAIRequest
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if consumeQuota || channelType == common.ChannelTypeAzure || channelType == common.ChannelTypePaLM {
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requestBody, err := io.ReadAll(c.Request.Body)
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if err != nil {
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return errorWrapper(err, "read_request_body_failed", http.StatusBadRequest)
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@ -141,6 +154,9 @@ func relayHelper(c *gin.Context) *OpenAIErrorWithStatusCode {
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model_ = strings.TrimSuffix(model_, "-0301")
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model_ = strings.TrimSuffix(model_, "-0314")
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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
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} else if channelType == common.ChannelTypePaLM {
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err := relayPaLM(textRequest, c)
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return err
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}
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promptTokens := countTokenMessages(textRequest.Messages, textRequest.Model)
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