mirror of
https://github.com/router-for-me/CLIProxyAPI.git
synced 2026-02-19 12:50:51 +08:00
v6 version first commit
This commit is contained in:
19
internal/translator/openai/openai/chat-completions/init.go
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19
internal/translator/openai/openai/chat-completions/init.go
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@@ -0,0 +1,19 @@
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package chat_completions
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import (
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. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
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"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
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"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
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)
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func init() {
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translator.Register(
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OPENAI,
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OPENAI,
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ConvertOpenAIRequestToOpenAI,
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interfaces.TranslateResponse{
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Stream: ConvertOpenAIResponseToOpenAI,
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NonStream: ConvertOpenAIResponseToOpenAINonStream,
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},
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)
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}
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@@ -0,0 +1,24 @@
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// Package openai provides request translation functionality for OpenAI to Gemini CLI API compatibility.
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// It converts OpenAI Chat Completions requests into Gemini CLI compatible JSON using gjson/sjson only.
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package chat_completions
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import (
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"bytes"
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log "github.com/sirupsen/logrus"
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)
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// ConvertOpenAIRequestToOpenAI converts an OpenAI Chat Completions request (raw JSON)
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// into a complete Gemini CLI request JSON. All JSON construction uses sjson and lookups use gjson.
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//
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// Parameters:
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// - modelName: The name of the model to use for the request
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// - rawJSON: The raw JSON request data from the OpenAI API
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// - stream: A boolean indicating if the request is for a streaming response (unused in current implementation)
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//
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// Returns:
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// - []byte: The transformed request data in Gemini CLI API format
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func ConvertOpenAIRequestToOpenAI(modelName string, inputRawJSON []byte, _ bool) []byte {
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log.Debug("ConvertOpenAIRequestToOpenAI")
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return bytes.Clone(inputRawJSON)
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}
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@@ -0,0 +1,56 @@
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// Package openai provides response translation functionality for Gemini CLI to OpenAI API compatibility.
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// This package handles the conversion of Gemini CLI API responses into OpenAI Chat Completions-compatible
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// JSON format, transforming streaming events and non-streaming responses into the format
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// expected by OpenAI API clients. It supports both streaming and non-streaming modes,
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// handling text content, tool calls, reasoning content, and usage metadata appropriately.
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package chat_completions
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import (
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"bytes"
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"context"
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log "github.com/sirupsen/logrus"
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)
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// ConvertOpenAIResponseToOpenAI translates a single chunk of a streaming response from the
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// Gemini CLI API format to the OpenAI Chat Completions streaming format.
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// It processes various Gemini CLI event types and transforms them into OpenAI-compatible JSON responses.
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// The function handles text content, tool calls, reasoning content, and usage metadata, outputting
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// responses that match the OpenAI API format. It supports incremental updates for streaming responses.
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//
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// Parameters:
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// - ctx: The context for the request, used for cancellation and timeout handling
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// - modelName: The name of the model being used for the response (unused in current implementation)
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// - rawJSON: The raw JSON response from the Gemini CLI API
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// - param: A pointer to a parameter object for maintaining state between calls
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//
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// Returns:
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// - []string: A slice of strings, each containing an OpenAI-compatible JSON response
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func ConvertOpenAIResponseToOpenAI(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
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log.Debug("ConvertOpenAIResponseToOpenAI")
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if bytes.HasPrefix(rawJSON, []byte("data:")) {
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rawJSON = bytes.TrimSpace(rawJSON[5:])
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}
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if bytes.Equal(rawJSON, []byte("[DONE]")) {
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return []string{}
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}
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return []string{string(rawJSON)}
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}
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// ConvertOpenAIResponseToOpenAINonStream converts a non-streaming Gemini CLI response to a non-streaming OpenAI response.
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// This function processes the complete Gemini CLI response and transforms it into a single OpenAI-compatible
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// JSON response. It handles message content, tool calls, reasoning content, and usage metadata, combining all
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// the information into a single response that matches the OpenAI API format.
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//
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// Parameters:
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// - ctx: The context for the request, used for cancellation and timeout handling
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// - modelName: The name of the model being used for the response
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// - rawJSON: The raw JSON response from the Gemini CLI API
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// - param: A pointer to a parameter object for the conversion
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//
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// Returns:
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// - string: An OpenAI-compatible JSON response containing all message content and metadata
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func ConvertOpenAIResponseToOpenAINonStream(ctx context.Context, modelName string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) string {
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log.Debug("ConvertOpenAIResponseToOpenAINonStream")
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return string(rawJSON)
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}
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@@ -1,9 +1,9 @@
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package responses
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import (
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. "github.com/luispater/CLIProxyAPI/v5/internal/constant"
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"github.com/luispater/CLIProxyAPI/v5/internal/interfaces"
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"github.com/luispater/CLIProxyAPI/v5/internal/translator/translator"
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. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
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"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
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"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
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)
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func init() {
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@@ -3,6 +3,7 @@ package responses
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import (
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"bytes"
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log "github.com/sirupsen/logrus"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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@@ -27,6 +28,7 @@ import (
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// Returns:
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// - []byte: The transformed request data in OpenAI chat completions format
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func ConvertOpenAIResponsesRequestToOpenAIChatCompletions(modelName string, inputRawJSON []byte, stream bool) []byte {
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log.Debug("ConvertOpenAIResponsesRequestToOpenAIChatCompletions")
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rawJSON := bytes.Clone(inputRawJSON)
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// Base OpenAI chat completions template with default values
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out := `{"model":"","messages":[],"stream":false}`
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@@ -1,11 +1,13 @@
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package responses
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import (
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"bytes"
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"context"
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"fmt"
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"strings"
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"time"
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log "github.com/sirupsen/logrus"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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@@ -34,12 +36,13 @@ type oaiToResponsesState struct {
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}
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func emitRespEvent(event string, payload string) string {
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return fmt.Sprintf("event: %s\ndata: %s\n\n", event, payload)
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return fmt.Sprintf("event: %s\ndata: %s", event, payload)
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}
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// ConvertOpenAIChatCompletionsResponseToOpenAIResponses converts OpenAI Chat Completions streaming chunks
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// to OpenAI Responses SSE events (response.*).
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func ConvertOpenAIChatCompletionsResponseToOpenAIResponses(ctx context.Context, modelName string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
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log.Debug("ConvertOpenAIChatCompletionsResponseToOpenAIResponses")
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if *param == nil {
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*param = &oaiToResponsesState{
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FuncArgsBuf: make(map[int]*strings.Builder),
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@@ -55,6 +58,10 @@ func ConvertOpenAIChatCompletionsResponseToOpenAIResponses(ctx context.Context,
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}
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st := (*param).(*oaiToResponsesState)
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if bytes.HasPrefix(rawJSON, []byte("data:")) {
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rawJSON = bytes.TrimSpace(rawJSON[5:])
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}
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root := gjson.ParseBytes(rawJSON)
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obj := root.Get("object").String()
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if obj != "chat.completion.chunk" {
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@@ -511,6 +518,7 @@ func ConvertOpenAIChatCompletionsResponseToOpenAIResponses(ctx context.Context,
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// ConvertOpenAIChatCompletionsResponseToOpenAIResponsesNonStream builds a single Responses JSON
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// from a non-streaming OpenAI Chat Completions response.
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func ConvertOpenAIChatCompletionsResponseToOpenAIResponsesNonStream(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, _ *any) string {
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log.Debug("ConvertOpenAIChatCompletionsResponseToOpenAIResponsesNonStream")
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root := gjson.ParseBytes(rawJSON)
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// Basic response scaffold
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@@ -540,7 +548,7 @@ func ConvertOpenAIChatCompletionsResponseToOpenAIResponsesNonStream(_ context.Co
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resp, _ = sjson.Set(resp, "max_output_tokens", v.Int())
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} else {
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// Also support max_tokens from chat completion style
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if v := req.Get("max_tokens"); v.Exists() {
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if v = req.Get("max_tokens"); v.Exists() {
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resp, _ = sjson.Set(resp, "max_output_tokens", v.Int())
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}
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}
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@@ -549,7 +557,7 @@ func ConvertOpenAIChatCompletionsResponseToOpenAIResponsesNonStream(_ context.Co
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}
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if v := req.Get("model"); v.Exists() {
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resp, _ = sjson.Set(resp, "model", v.String())
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} else if v := root.Get("model"); v.Exists() {
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} else if v = root.Get("model"); v.Exists() {
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resp, _ = sjson.Set(resp, "model", v.String())
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}
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if v := req.Get("parallel_tool_calls"); v.Exists() {
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