File size: 7,830 Bytes
a8b3f00 |
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 |
import type { Viewport } from 'reactflow'
import type { VisionFile } from '@/types/app'
import type {
Edge,
Node,
} from '@/app/components/workflow/types'
import type { Metadata } from '@/app/components/base/chat/chat/type'
// Log type contains key:string conversation_id:string created_at:string question:string answer:string
export type Conversation = {
id: string
key: string
conversationId: string
question: string
answer: string
userRate: number
adminRate: number
}
export type ConversationListResponse = {
logs: Conversation[]
}
export const fetchLogs = (url: string) =>
fetch(url).then<ConversationListResponse>(r => r.json())
export const CompletionParams = ['temperature', 'top_p', 'presence_penalty', 'max_token', 'stop', 'frequency_penalty'] as const
export type CompletionParamType = typeof CompletionParams[number]
export type CompletionParamsType = {
max_tokens: number
temperature: number
top_p: number
stop: string[]
presence_penalty: number
frequency_penalty: number
}
export type LogModelConfig = {
name: string
provider: string
completion_params: CompletionParamsType
}
export type ModelConfigDetail = {
introduction: string
prompt_template: string
prompt_variables: Array<{
key: string
name: string
description: string
type: string | number
default: string
options: string[]
}>
completion_params: CompletionParamsType
}
export type LogAnnotation = {
id: string
content: string
account: {
id: string
name: string
email: string
}
created_at: number
}
export type Annotation = {
id: string
authorName: string
logAnnotation?: LogAnnotation
created_at?: number
}
export type MessageContent = {
id: string
conversation_id: string
query: string
inputs: Record<string, any>
message: { role: string; text: string; files?: VisionFile[] }[]
message_tokens: number
answer_tokens: number
answer: string
provider_response_latency: number
created_at: number
annotation: LogAnnotation
annotation_hit_history: {
annotation_id: string
annotation_create_account: {
id: string
name: string
email: string
}
created_at: number
}
feedbacks: Array<{
rating: 'like' | 'dislike' | null
content: string | null
from_source?: 'admin' | 'user'
from_end_user_id?: string
}>
message_files: VisionFile[]
metadata: Metadata
agent_thoughts: any[] // TODO
workflow_run_id: string
parent_message_id: string | null
}
export type CompletionConversationGeneralDetail = {
id: string
status: 'normal' | 'finished'
from_source: 'api' | 'console'
from_end_user_id: string
from_end_user_session_id: string
from_account_id: string
read_at: Date
created_at: number
updated_at: number
annotation: Annotation
user_feedback_stats: {
like: number
dislike: number
}
admin_feedback_stats: {
like: number
dislike: number
}
model_config: {
provider: string
model_id: string
configs: Pick<ModelConfigDetail, 'prompt_template'>
}
message: Pick<MessageContent, 'inputs' | 'query' | 'answer' | 'message'>
}
export type CompletionConversationFullDetailResponse = {
id: string
status: 'normal' | 'finished'
from_source: 'api' | 'console'
from_end_user_id: string
from_account_id: string
// read_at: Date
created_at: number
model_config: {
provider: string
model_id: string
configs: ModelConfigDetail
}
message: MessageContent
}
export type CompletionConversationsResponse = {
data: Array<CompletionConversationGeneralDetail>
has_more: boolean
limit: number
total: number
page: number
}
export type CompletionConversationsRequest = {
keyword: string
start: string
end: string
annotation_status: string
page: number
limit: number // The default value is 20 and the range is 1-100
}
export type ChatConversationGeneralDetail = Omit<CompletionConversationGeneralDetail, 'message' | 'annotation'> & {
summary: string
message_count: number
annotated: boolean
}
export type ChatConversationsResponse = {
data: Array<ChatConversationGeneralDetail>
has_more: boolean
limit: number
total: number
page: number
}
export type ChatConversationsRequest = CompletionConversationsRequest & { message_count: number }
export type ChatConversationFullDetailResponse = Omit<CompletionConversationGeneralDetail, 'message' | 'model_config'> & {
message_count: number
model_config: {
provider: string
model_id: string
configs: ModelConfigDetail
model: LogModelConfig
}
}
export type ChatMessagesRequest = {
conversation_id: string
first_id?: string
limit: number
}
export type ChatMessage = MessageContent
export type ChatMessagesResponse = {
data: Array<ChatMessage>
has_more: boolean
limit: number
}
export const MessageRatings = ['like', 'dislike', null] as const
export type MessageRating = typeof MessageRatings[number]
export type LogMessageFeedbacksRequest = {
message_id: string
rating: MessageRating
content?: string
}
export type LogMessageFeedbacksResponse = {
result: 'success' | 'error'
}
export type LogMessageAnnotationsRequest = Omit<LogMessageFeedbacksRequest, 'rating'>
export type LogMessageAnnotationsResponse = LogMessageFeedbacksResponse
export type AnnotationsCountResponse = {
count: number
}
export type WorkflowRunDetail = {
id: string
version: string
status: 'running' | 'succeeded' | 'failed' | 'stopped'
error?: string
elapsed_time: number
total_tokens: number
total_price: number
currency: string
total_steps: number
finished_at: number
}
export type AccountInfo = {
id: string
name: string
email: string
}
export type EndUserInfo = {
id: string
type: 'browser' | 'service_api'
is_anonymous: boolean
session_id: string
}
export type WorkflowAppLogDetail = {
id: string
workflow_run: WorkflowRunDetail
created_from: 'service-api' | 'web-app' | 'explore'
created_by_role: 'account' | 'end_user'
created_by_account?: AccountInfo
created_by_end_user?: EndUserInfo
created_at: number
read_at?: number
}
export type WorkflowLogsResponse = {
data: Array<WorkflowAppLogDetail>
has_more: boolean
limit: number
total: number
page: number
}
export type WorkflowLogsRequest = {
keyword: string
status: string
page: number
limit: number // The default value is 20 and the range is 1-100
}
export type WorkflowRunDetailResponse = {
id: string
sequence_number: number
version: string
graph: {
nodes: Node[]
edges: Edge[]
viewport?: Viewport
}
inputs: string
status: 'running' | 'succeeded' | 'failed' | 'stopped'
outputs?: string
error?: string
elapsed_time?: number
total_tokens?: number
total_steps: number
created_by_role: 'account' | 'end_user'
created_by_account?: AccountInfo
created_by_end_user?: EndUserInfo
created_at: number
finished_at: number
}
export type AgentLogMeta = {
status: string
executor: string
start_time: string
elapsed_time: number
total_tokens: number
agent_mode: string
iterations: number
error?: string
}
export type ToolCall = {
status: string
error?: string | null
time_cost?: number
tool_icon: any
tool_input?: any
tool_output?: any
tool_name?: string
tool_label?: any
tool_parameters?: any
}
export type AgentIteration = {
created_at: string
files: string[]
thought: string
tokens: number
tool_calls: ToolCall[]
tool_raw: {
inputs: string
outputs: string
}
}
export type AgentLogFile = {
id: string
type: string
url: string
name: string
belongs_to: string
}
export type AgentLogDetailRequest = {
conversation_id: string
message_id: string
}
export type AgentLogDetailResponse = {
meta: AgentLogMeta
iterations: AgentIteration[]
files: AgentLogFile[]
}
|