* fix(openai): harden Chat-to-Responses compatibility Add a shared Responses-to-Chat stream state machine and use it from the OpenAI relay path. Preserve assistant text alongside tool calls, bind tool argument deltas by output_index, map incomplete finish reasons, support reasoning/custom tool events, and buffer upstream SSE for non-stream Chat clients. Add deterministic service tests and relay SSE tests for the conversion path. Related to #5745. * refactor: rename openaicompat to relayconvert for improved clarity * feat(gemini): support responses request conversion * feat: add responses to chat conversion support * fix: harden responses chat conversion edge cases
163 lines
5.6 KiB
Go
163 lines
5.6 KiB
Go
package gemini
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import (
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"errors"
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"fmt"
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"io"
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"net/http"
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"github.com/QuantumNous/new-api/common"
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"github.com/QuantumNous/new-api/constant"
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"github.com/QuantumNous/new-api/dto"
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"github.com/QuantumNous/new-api/logger"
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relaycommon "github.com/QuantumNous/new-api/relay/common"
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"github.com/QuantumNous/new-api/relay/helper"
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"github.com/QuantumNous/new-api/service"
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"github.com/QuantumNous/new-api/service/relayconvert"
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"github.com/QuantumNous/new-api/types"
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"github.com/gin-gonic/gin"
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)
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func GeminiResponsesHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
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defer service.CloseResponseBodyGracefully(resp)
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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logger.LogDebug(c, "Gemini responses response body: %s", responseBody)
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var geminiResponse dto.GeminiChatResponse
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if err := common.Unmarshal(responseBody, &geminiResponse); err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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if len(geminiResponse.Candidates) == 0 {
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usage := buildUsageFromGeminiMetadata(geminiResponse.UsageMetadata, info.GetEstimatePromptTokens())
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if geminiResponse.PromptFeedback != nil && geminiResponse.PromptFeedback.BlockReason != nil {
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common.SetContextKey(c, constant.ContextKeyAdminRejectReason, fmt.Sprintf("gemini_block_reason=%s", *geminiResponse.PromptFeedback.BlockReason))
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return &usage, types.NewOpenAIError(
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errors.New("request blocked by Gemini API: "+*geminiResponse.PromptFeedback.BlockReason),
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types.ErrorCodePromptBlocked,
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http.StatusBadRequest,
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)
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}
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common.SetContextKey(c, constant.ContextKeyAdminRejectReason, "gemini_empty_candidates")
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return &usage, types.NewOpenAIError(
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errors.New("empty response from Gemini API"),
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types.ErrorCodeEmptyResponse,
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http.StatusInternalServerError,
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)
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}
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chatResp := responseGeminiChat2OpenAI(c, &geminiResponse)
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chatResp.Model = info.UpstreamModelName
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usage := buildUsageFromGeminiMetadata(geminiResponse.UsageMetadata, info.GetEstimatePromptTokens())
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chatResp.Usage = usage
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responsesResp, responsesUsage, err := service.ChatCompletionsResponseToResponsesResponse(chatResp, helper.GetResponseID(c))
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if err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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if responsesUsage == nil || responsesUsage.TotalTokens == 0 {
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responsesResp.Usage = relayconvert.UsageFromChatUsage(&usage)
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}
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responseBody, err = common.Marshal(responsesResp)
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if err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeJsonMarshalFailed, http.StatusInternalServerError)
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}
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service.IOCopyBytesGracefully(c, resp, responseBody)
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return &usage, nil
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}
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func GeminiResponsesStreamHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
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responseID := helper.GetResponseID(c)
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created := common.GetTimestamp()
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state := relayconvert.NewChatToResponsesStreamState(responseID, info.UpstreamModelName)
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state.Created = created
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finishReason := constant.FinishReasonStop
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toolCallIndexByChoice := make(map[int]map[string]int)
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nextToolCallIndexByChoice := make(map[int]int)
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var streamErr *types.NewAPIError
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sendEvent := func(event relayconvert.ChatToResponsesStreamEvent) bool {
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data, err := common.Marshal(event.Payload)
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if err != nil {
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streamErr = types.NewOpenAIError(err, types.ErrorCodeJsonMarshalFailed, http.StatusInternalServerError)
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return false
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}
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helper.ResponseChunkData(c, dto.ResponsesStreamResponse{Type: event.Type}, string(data))
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return true
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}
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sendChunk := func(chunk *dto.ChatCompletionsStreamResponse) bool {
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events, err := relayconvert.ChatCompletionsStreamChunkToResponsesEvents(chunk, state)
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if err != nil {
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streamErr = types.NewOpenAIError(err, types.ErrorCodeBadResponse, http.StatusInternalServerError)
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return false
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}
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for _, event := range events {
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if !sendEvent(event) {
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return false
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}
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}
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return true
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}
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usage, err := geminiStreamHandler(c, info, resp, func(data string, geminiResponse *dto.GeminiChatResponse) bool {
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response, isStop := streamResponseGeminiChat2OpenAI(geminiResponse)
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response.Id = responseID
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response.Created = created
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response.Model = info.UpstreamModelName
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if response.IsToolCall() {
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finishReason = constant.FinishReasonToolCalls
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}
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for choiceIdx := range response.Choices {
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choiceKey := response.Choices[choiceIdx].Index
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for toolIdx := range response.Choices[choiceIdx].Delta.ToolCalls {
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tool := &response.Choices[choiceIdx].Delta.ToolCalls[toolIdx]
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if tool.ID == "" {
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continue
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}
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indexByID := toolCallIndexByChoice[choiceKey]
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if indexByID == nil {
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indexByID = make(map[string]int)
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toolCallIndexByChoice[choiceKey] = indexByID
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}
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if idx, ok := indexByID[tool.ID]; ok {
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tool.SetIndex(idx)
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continue
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}
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idx := nextToolCallIndexByChoice[choiceKey]
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nextToolCallIndexByChoice[choiceKey] = idx + 1
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indexByID[tool.ID] = idx
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tool.SetIndex(idx)
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}
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}
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if !sendChunk(response) {
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return false
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}
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if isStop {
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return sendChunk(helper.GenerateStopResponse(responseID, created, info.UpstreamModelName, finishReason))
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}
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return true
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})
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if err != nil {
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return usage, err
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}
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if streamErr != nil {
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return nil, streamErr
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}
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if usage != nil {
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state.Usage = relayconvert.UsageFromChatUsage(usage)
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}
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for _, event := range relayconvert.FinalizeChatCompletionsStreamToResponses(state) {
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if !sendEvent(event) {
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return nil, streamErr
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}
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}
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return usage, nil
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}
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