File size: 13,580 Bytes
daa8246 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 | package dto
import (
"encoding/json"
"fmt"
"github.com/QuantumNous/new-api/types"
)
const (
ResponsesOutputTypeImageGenerationCall = "image_generation_call"
)
type SimpleResponse struct {
Usage `json:"usage"`
Error any `json:"error"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (s *SimpleResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(s.Error)
}
type TextResponse struct {
Id string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Model string `json:"model"`
Choices []OpenAITextResponseChoice `json:"choices"`
Usage `json:"usage"`
}
type OpenAITextResponseChoice struct {
Index int `json:"index"`
Message `json:"message"`
FinishReason string `json:"finish_reason"`
}
type OpenAITextResponse struct {
Id string `json:"id"`
Model string `json:"model"`
Object string `json:"object"`
Created any `json:"created"`
Choices []OpenAITextResponseChoice `json:"choices"`
Error any `json:"error,omitempty"`
Usage `json:"usage"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (o *OpenAITextResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(o.Error)
}
type OpenAIEmbeddingResponseItem struct {
Object string `json:"object"`
Index int `json:"index"`
Embedding []float64 `json:"embedding"`
}
type OpenAIEmbeddingResponse struct {
Object string `json:"object"`
Data []OpenAIEmbeddingResponseItem `json:"data"`
Model string `json:"model"`
Usage `json:"usage"`
}
type FlexibleEmbeddingResponseItem struct {
Object string `json:"object"`
Index int `json:"index"`
Embedding any `json:"embedding"`
}
type FlexibleEmbeddingResponse struct {
Object string `json:"object"`
Data []FlexibleEmbeddingResponseItem `json:"data"`
Model string `json:"model"`
Usage `json:"usage"`
}
type ChatCompletionsStreamResponseChoice struct {
Delta ChatCompletionsStreamResponseChoiceDelta `json:"delta,omitempty"`
Logprobs *any `json:"logprobs"`
FinishReason *string `json:"finish_reason"`
Index int `json:"index"`
}
type ChatCompletionsStreamResponseChoiceDelta struct {
Content *string `json:"content,omitempty"`
ReasoningContent *string `json:"reasoning_content,omitempty"`
Reasoning *string `json:"reasoning,omitempty"`
Role string `json:"role,omitempty"`
ToolCalls []ToolCallResponse `json:"tool_calls,omitempty"`
}
func (c *ChatCompletionsStreamResponseChoiceDelta) SetContentString(s string) {
c.Content = &s
}
func (c *ChatCompletionsStreamResponseChoiceDelta) GetContentString() string {
if c.Content == nil {
return ""
}
return *c.Content
}
func (c *ChatCompletionsStreamResponseChoiceDelta) GetReasoningContent() string {
if c.ReasoningContent == nil && c.Reasoning == nil {
return ""
}
if c.ReasoningContent != nil {
return *c.ReasoningContent
}
return *c.Reasoning
}
func (c *ChatCompletionsStreamResponseChoiceDelta) SetReasoningContent(s string) {
c.ReasoningContent = &s
//c.Reasoning = &s
}
type ToolCallResponse struct {
// Index is not nil only in chat completion chunk object
Index *int `json:"index,omitempty"`
ID string `json:"id,omitempty"`
Type any `json:"type"`
Function FunctionResponse `json:"function"`
}
func (c *ToolCallResponse) SetIndex(i int) {
c.Index = &i
}
type FunctionResponse struct {
Description string `json:"description,omitempty"`
Name string `json:"name,omitempty"`
// call function with arguments in JSON format
Parameters any `json:"parameters,omitempty"` // request
Arguments string `json:"arguments"` // response
}
type ChatCompletionsStreamResponse struct {
Id string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Model string `json:"model"`
SystemFingerprint *string `json:"system_fingerprint"`
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
Usage *Usage `json:"usage"`
}
func (c *ChatCompletionsStreamResponse) IsFinished() bool {
if len(c.Choices) == 0 {
return false
}
return c.Choices[0].FinishReason != nil && *c.Choices[0].FinishReason != ""
}
func (c *ChatCompletionsStreamResponse) IsToolCall() bool {
if len(c.Choices) == 0 {
return false
}
return len(c.Choices[0].Delta.ToolCalls) > 0
}
func (c *ChatCompletionsStreamResponse) GetFirstToolCall() *ToolCallResponse {
if c.IsToolCall() {
return &c.Choices[0].Delta.ToolCalls[0]
}
return nil
}
func (c *ChatCompletionsStreamResponse) ClearToolCalls() {
if !c.IsToolCall() {
return
}
for choiceIdx := range c.Choices {
for callIdx := range c.Choices[choiceIdx].Delta.ToolCalls {
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].ID = ""
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].Type = nil
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].Function.Name = ""
}
}
}
func (c *ChatCompletionsStreamResponse) Copy() *ChatCompletionsStreamResponse {
choices := make([]ChatCompletionsStreamResponseChoice, len(c.Choices))
copy(choices, c.Choices)
return &ChatCompletionsStreamResponse{
Id: c.Id,
Object: c.Object,
Created: c.Created,
Model: c.Model,
SystemFingerprint: c.SystemFingerprint,
Choices: choices,
Usage: c.Usage,
}
}
func (c *ChatCompletionsStreamResponse) GetSystemFingerprint() string {
if c.SystemFingerprint == nil {
return ""
}
return *c.SystemFingerprint
}
func (c *ChatCompletionsStreamResponse) SetSystemFingerprint(s string) {
c.SystemFingerprint = &s
}
type ChatCompletionsStreamResponseSimple struct {
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
Usage *Usage `json:"usage"`
}
type CompletionsStreamResponse struct {
Choices []struct {
Text string `json:"text"`
FinishReason string `json:"finish_reason"`
} `json:"choices"`
}
type Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
PromptCacheHitTokens int `json:"prompt_cache_hit_tokens,omitempty"`
PromptTokensDetails InputTokenDetails `json:"prompt_tokens_details"`
CompletionTokenDetails OutputTokenDetails `json:"completion_tokens_details"`
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
InputTokensDetails *InputTokenDetails `json:"input_tokens_details"`
// claude cache 1h
ClaudeCacheCreation5mTokens int `json:"claude_cache_creation_5_m_tokens"`
ClaudeCacheCreation1hTokens int `json:"claude_cache_creation_1_h_tokens"`
// OpenRouter Params
Cost any `json:"cost,omitempty"`
}
type OpenAIVideoResponse struct {
Id string `json:"id" example:"file-abc123"`
Object string `json:"object" example:"file"`
Bytes int64 `json:"bytes" example:"120000"`
CreatedAt int64 `json:"created_at" example:"1677610602"`
ExpiresAt int64 `json:"expires_at" example:"1677614202"`
Filename string `json:"filename" example:"mydata.jsonl"`
Purpose string `json:"purpose" example:"fine-tune"`
}
type InputTokenDetails struct {
CachedTokens int `json:"cached_tokens"`
CachedCreationTokens int `json:"-"`
TextTokens int `json:"text_tokens"`
AudioTokens int `json:"audio_tokens"`
ImageTokens int `json:"image_tokens"`
}
type OutputTokenDetails struct {
TextTokens int `json:"text_tokens"`
AudioTokens int `json:"audio_tokens"`
ReasoningTokens int `json:"reasoning_tokens"`
}
type OpenAIResponsesResponse struct {
ID string `json:"id"`
Object string `json:"object"`
CreatedAt int `json:"created_at"`
Status json.RawMessage `json:"status"`
Error any `json:"error,omitempty"`
IncompleteDetails *IncompleteDetails `json:"incomplete_details,omitempty"`
Instructions string `json:"instructions"`
MaxOutputTokens int `json:"max_output_tokens"`
Model string `json:"model"`
Output []ResponsesOutput `json:"output"`
ParallelToolCalls bool `json:"parallel_tool_calls"`
PreviousResponseID json.RawMessage `json:"previous_response_id"`
Reasoning *Reasoning `json:"reasoning"`
Store bool `json:"store"`
Temperature float64 `json:"temperature"`
ToolChoice json.RawMessage `json:"tool_choice"`
Tools []map[string]any `json:"tools"`
TopP float64 `json:"top_p"`
Truncation json.RawMessage `json:"truncation"`
Usage *Usage `json:"usage"`
User json.RawMessage `json:"user"`
Metadata json.RawMessage `json:"metadata"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (o *OpenAIResponsesResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(o.Error)
}
func (o *OpenAIResponsesResponse) HasImageGenerationCall() bool {
if len(o.Output) == 0 {
return false
}
for _, output := range o.Output {
if output.Type == ResponsesOutputTypeImageGenerationCall {
return true
}
}
return false
}
func (o *OpenAIResponsesResponse) GetQuality() string {
if len(o.Output) == 0 {
return ""
}
for _, output := range o.Output {
if output.Type == ResponsesOutputTypeImageGenerationCall {
return output.Quality
}
}
return ""
}
func (o *OpenAIResponsesResponse) GetSize() string {
if len(o.Output) == 0 {
return ""
}
for _, output := range o.Output {
if output.Type == ResponsesOutputTypeImageGenerationCall {
return output.Size
}
}
return ""
}
type IncompleteDetails struct {
Reasoning string `json:"reasoning"`
}
type ResponsesOutput struct {
Type string `json:"type"`
ID string `json:"id"`
Status string `json:"status"`
Role string `json:"role"`
Content []ResponsesOutputContent `json:"content"`
Quality string `json:"quality"`
Size string `json:"size"`
CallId string `json:"call_id,omitempty"`
Name string `json:"name,omitempty"`
Arguments string `json:"arguments,omitempty"`
}
type ResponsesOutputContent struct {
Type string `json:"type"`
Text string `json:"text"`
Annotations []interface{} `json:"annotations"`
}
type ResponsesReasoningSummaryPart struct {
Type string `json:"type"`
Text string `json:"text"`
}
const (
BuildInToolWebSearchPreview = "web_search_preview"
BuildInToolFileSearch = "file_search"
)
const (
BuildInCallWebSearchCall = "web_search_call"
)
const (
ResponsesOutputTypeItemAdded = "response.output_item.added"
ResponsesOutputTypeItemDone = "response.output_item.done"
)
// ResponsesStreamResponse 用于处理 /v1/responses 流式响应
type ResponsesStreamResponse struct {
Type string `json:"type"`
Response *OpenAIResponsesResponse `json:"response,omitempty"`
Delta string `json:"delta,omitempty"`
Item *ResponsesOutput `json:"item,omitempty"`
// - response.function_call_arguments.delta
// - response.function_call_arguments.done
OutputIndex *int `json:"output_index,omitempty"`
ContentIndex *int `json:"content_index,omitempty"`
SummaryIndex *int `json:"summary_index,omitempty"`
ItemID string `json:"item_id,omitempty"`
Part *ResponsesReasoningSummaryPart `json:"part,omitempty"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func GetOpenAIError(errorField any) *types.OpenAIError {
if errorField == nil {
return nil
}
switch err := errorField.(type) {
case types.OpenAIError:
return &err
case *types.OpenAIError:
return err
case map[string]interface{}:
// 处理从JSON解析来的map结构
openaiErr := &types.OpenAIError{}
if errType, ok := err["type"].(string); ok {
openaiErr.Type = errType
}
if errMsg, ok := err["message"].(string); ok {
openaiErr.Message = errMsg
}
if errParam, ok := err["param"].(string); ok {
openaiErr.Param = errParam
}
if errCode, ok := err["code"]; ok {
openaiErr.Code = errCode
}
return openaiErr
case string:
// 处理简单字符串错误
return &types.OpenAIError{
Type: "error",
Message: err,
}
default:
// 未知类型,尝试转换为字符串
return &types.OpenAIError{
Type: "unknown_error",
Message: fmt.Sprintf("%v", err),
}
}
}
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