> {\n [key: string]: any;\n credentials?: K;\n}\n\nexport interface PluginHandlerResponse {\n error: any;\n verdict?: boolean;\n // The data object can be any JSON object or null.\n data?: any | null;\n transformedData?: any;\n transformed?: boolean;\n}\n\nexport type HookEventType = 'beforeRequestHook' | 'afterRequestHook';\n\nexport type PluginHandler> = (\n context: PluginContext,\n parameters: PluginParameters
,\n eventType: HookEventType,\n options?: {\n env: Record;\n getFromCacheByKey?: (key: string) => Promise;\n putInCacheWithValue?: (key: string, value: any) => Promise;\n }\n) => Promise;\n"
},
{
"path": "plugins/utils.test.ts",
"content": "import { PluginContext } from './types';\nimport { getCurrentContentPart, setCurrentContentPart } from './utils';\n\ndescribe('utils', () => {\n describe('getCurrentContentPart', () => {\n test('chatComplete string request content: should return the last message content', () => {\n const context = {\n request: {\n json: {\n messages: [\n { role: 'system', content: 'This is a system message' },\n { role: 'user', content: 'This is a user message' },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toBe('This is a user message');\n expect(result.textArray).toEqual(['This is a user message']);\n });\n\n test('chatComplete array request content: should return the last message content', () => {\n const context = {\n request: {\n json: {\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ],\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toEqual([\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ]);\n expect(result.textArray).toEqual([\n 'This is a user message 1',\n 'This is a user message 2',\n ]);\n });\n\n test('chatComplete string response content: should return the last message content', () => {\n const context = {\n response: {\n json: {\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is a first response message',\n },\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toBe('This is a first response message');\n expect(result.textArray).toEqual(['This is a first response message']);\n });\n\n test('chatComplete string response content: should return the last message content from multiple choices', () => {\n const context = {\n response: {\n json: {\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is a first response message',\n },\n },\n {\n message: {\n role: 'assistant',\n content: 'This is a second response message',\n },\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toBe('This is a second response message');\n expect(result.textArray).toEqual(['This is a second response message']);\n });\n\n test('complete request content: should return the last message content', () => {\n const context = {\n request: {\n json: {\n prompt: 'This is a user message',\n },\n },\n requestType: 'complete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toEqual('This is a user message');\n expect(result.textArray).toEqual(['This is a user message']);\n });\n\n test('complete response content: should return the last message content', () => {\n const context = {\n response: {\n json: {\n choices: [\n {\n text: 'This is a first response message',\n },\n ],\n },\n },\n requestType: 'complete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toEqual('This is a first response message');\n expect(result.textArray).toEqual(['This is a first response message']);\n });\n\n test('complete array request content: should return the last message content', () => {\n const context = {\n request: {\n json: {\n prompt: ['This is a user message 1', 'This is a user message 2'],\n },\n },\n requestType: 'complete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook'\n );\n\n expect(result).toBeDefined();\n expect(result.content).toEqual([\n 'This is a user message 1',\n 'This is a user message 2',\n ]);\n expect(result.textArray).toEqual([\n 'This is a user message 1',\n 'This is a user message 2',\n ]);\n });\n\n test('complete array response content: should return the last message content', () => {\n const context = {\n response: {\n json: {\n choices: [\n {\n text: 'This is a first response message',\n },\n {\n text: 'This is a second response message',\n },\n ],\n },\n },\n requestType: 'complete',\n };\n const result = getCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook'\n );\n expect(result).toBeDefined();\n expect(result.content).toEqual('This is a second response message');\n expect(result.textArray).toEqual(['This is a second response message']);\n });\n });\n\n describe.only('setCurrentContentPart', () => {\n test('chatComplete string request content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n { role: 'user', content: 'This is a user message' },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n ['This is an edited user message']\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n { role: 'user', content: 'This is an edited user message' },\n ],\n });\n });\n\n test('chatComplete array request content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ],\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n ['This is an edited user message 1', 'This is an edited user message 2']\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is an edited user message 1' },\n { type: 'text', text: 'This is an edited user message 2' },\n ],\n },\n ],\n });\n });\n\n test('chatComplete array request content: should set the partial current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ],\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n [null, 'This is an edited user message 2']\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is an edited user message 2' },\n ],\n },\n ],\n });\n });\n\n test('chatComplete array request content: should not update the partial current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ],\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n [null, null]\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n messages: [\n { role: 'system', content: 'This is a system message' },\n {\n role: 'user',\n content: [\n { type: 'text', text: 'This is a user message 1' },\n { type: 'text', text: 'This is a user message 2' },\n ],\n },\n ],\n });\n });\n\n test('chatComplete string response content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n response: {\n json: {\n model: 'gpt-4o',\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is a first response message',\n },\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook',\n transformedData,\n ['This is an edited response message']\n );\n expect(transformedData.request.json).toBeNull();\n expect(transformedData.response.json).toBeDefined();\n expect(transformedData.response.json).toMatchObject({\n model: 'gpt-4o',\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is an edited response message',\n },\n },\n ],\n });\n });\n\n test('chatComplete string response content: should not set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n response: {\n json: {\n model: 'gpt-4o',\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is a first response message',\n },\n },\n ],\n },\n },\n requestType: 'chatComplete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook',\n transformedData,\n [null]\n );\n expect(transformedData.request.json).toBeNull();\n expect(transformedData.response.json).toBeDefined();\n expect(transformedData.response.json).toMatchObject({\n model: 'gpt-4o',\n choices: [\n {\n message: {\n role: 'assistant',\n content: 'This is a first response message',\n },\n },\n ],\n });\n });\n\n test('complete string request content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n prompt: 'This is a user message',\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n ['This is an edited user message']\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n prompt: 'This is an edited user message',\n });\n });\n\n test('complete array request content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n prompt: ['This is a user message 1', 'This is a user message 2'],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n ['This is an edited user message 1', 'This is an edited user message 2']\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n prompt: [\n 'This is an edited user message 1',\n 'This is an edited user message 2',\n ],\n });\n });\n\n test('complete array request content: should set the partial current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n prompt: ['This is a user message 1', 'This is a user message 2'],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n ['This is an edited user message 1', null]\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n prompt: [\n 'This is an edited user message 1',\n 'This is a user message 2',\n ],\n });\n });\n\n test('complete array request content: should not set the partial current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n request: {\n json: {\n model: 'gpt-4o',\n prompt: ['This is a user message 1', 'This is a user message 2'],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'beforeRequestHook',\n transformedData,\n [null, null]\n );\n expect(transformedData.request.json).toBeDefined();\n expect(transformedData.response.json).toBeNull();\n expect(transformedData.request.json).toMatchObject({\n model: 'gpt-4o',\n prompt: ['This is a user message 1', 'This is a user message 2'],\n });\n });\n\n test('complete response content: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n response: {\n json: {\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is a first response message',\n },\n ],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook',\n transformedData,\n ['This is an edited first response message']\n );\n expect(transformedData.request.json).toBeNull();\n expect(transformedData.response.json).toBeDefined();\n expect(transformedData.response.json).toMatchObject({\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is an edited first response message',\n },\n ],\n });\n });\n\n test('complete response multiple choices: should set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n response: {\n json: {\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is a first response message',\n },\n {\n text: 'This is a second response message',\n },\n ],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook',\n transformedData,\n ['This is an edited first response message']\n );\n expect(transformedData.request.json).toBeNull();\n expect(transformedData.response.json).toBeDefined();\n expect(transformedData.response.json).toMatchObject({\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is a first response message',\n },\n {\n text: 'This is an edited first response message',\n },\n ],\n });\n });\n\n test('complete response content: should not set the current content part', () => {\n const transformedData: Record = {\n request: {\n json: null,\n },\n response: {\n json: null,\n },\n };\n const context = {\n response: {\n json: {\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is a first response message',\n },\n ],\n },\n },\n requestType: 'complete',\n };\n setCurrentContentPart(\n context as PluginContext,\n 'afterRequestHook',\n transformedData,\n [null]\n );\n expect(transformedData.request.json).toBeNull();\n expect(transformedData.response.json).toBeDefined();\n expect(transformedData.response.json).toMatchObject({\n model: 'gpt-4o',\n choices: [\n {\n text: 'This is a first response message',\n },\n ],\n });\n });\n });\n});\n"
},
{
"path": "plugins/utils.ts",
"content": "import { HookEventType, PluginContext } from './types';\n\ninterface PostOptions extends RequestInit {\n headers?: Record;\n [key: string]: any;\n}\n\nexport interface ErrorResponse {\n status: number;\n statusText: string;\n body: string;\n headers?: Headers;\n}\n\nexport class HttpError extends Error {\n response: ErrorResponse;\n\n constructor(message: string, response: ErrorResponse) {\n super(message);\n this.name = 'HttpError';\n this.response = response;\n }\n}\n\nexport class TimeoutError extends Error {\n url: string;\n timeout: number;\n method: string;\n\n constructor(message: string, url: string, timeout: number, method: string) {\n super(message);\n this.name = 'TimeoutError';\n this.url = url;\n this.timeout = timeout;\n this.method = method;\n }\n}\n\n/**\n * Helper function to get the text from the current content part of a request/response context\n * @param context - The plugin context containing request/response data\n * @param eventType - The type of hook event (beforeRequestHook or afterRequestHook)\n * @returns The text from the current content part of the request/response context\n */\nexport const getText = (\n context: PluginContext,\n eventType: HookEventType\n): string => {\n return getCurrentContentPart(context, eventType)\n .textArray.filter((text) => text)\n .join('\\n');\n};\n\n/**\n * Extracts the current content and its text representation from a request/response context\n * @param context - The plugin context containing request/response data\n * @param eventType - The type of hook event (beforeRequestHook or afterRequestHook)\n * @returns An object containing the raw content and an array of extracted text strings\n */\nexport const getCurrentContentPart = (\n context: PluginContext,\n eventType: HookEventType\n): {\n content: Array | string | Record | null;\n textArray: Array;\n} => {\n // Determine if we're handling request or response data\n const target = eventType === 'beforeRequestHook' ? 'request' : 'response';\n const json = context[target].json;\n\n if (target === 'request') {\n return getRequestContentPart(json, context.requestType!);\n } else {\n return getResponseContentPart(json, context.requestType || '');\n }\n};\n\nconst getRequestContentPart = (json: any, requestType: string) => {\n let content: Array | string | Record | null = null;\n let textArray: Array = [];\n if (requestType === 'chatComplete' || requestType === 'messages') {\n content = json.messages[json.messages.length - 1].content;\n textArray = Array.isArray(content)\n ? content.map((item: any) => item.text || '')\n : [content];\n } else if (requestType === 'complete') {\n content = json.prompt;\n textArray = Array.isArray(content)\n ? content.map((item: any) => item)\n : [content];\n } else if (requestType === 'embed') {\n content = json.input;\n textArray = Array.isArray(content) ? content : [content];\n }\n return { content, textArray };\n};\n\nconst getResponseContentPart = (json: any, requestType: string) => {\n let content: Array | string | Record | null = null;\n let textArray: Array = [];\n\n // This can happen for streaming mode.\n if (!json) {\n return { content: null, textArray: [] };\n }\n\n if (requestType === 'chatComplete') {\n content = json.choices[0].message.content as string;\n textArray = [content];\n } else if (requestType === 'complete') {\n content = json.choices[0].text as string;\n textArray = [content];\n } else if (requestType === 'messages') {\n content = json.content;\n textArray = (content as Array).map((item: any) => item.text || '');\n }\n return { content, textArray };\n};\n\n/**\n * Updates the content of a request or response in the plugin context\n * @param context - The plugin context containing request/response data\n * @param eventType - The type of hook event (beforeRequestHook or afterRequestHook)\n * @param newContent - New content to set (can be string, array, or object)\n * @param textArray - Optional array of text strings to update text fields\n */\nexport const setCurrentContentPart = (\n context: PluginContext,\n eventType: HookEventType,\n transformedData: Record,\n textArray: Array | null = null\n): void => {\n const requestType = context.requestType;\n const target = eventType === 'beforeRequestHook' ? 'request' : 'response';\n const json = context[target].json;\n\n if (textArray?.length === 0 || !textArray) {\n return;\n }\n\n if (target === 'request') {\n setRequestContentPart(json, requestType!, textArray, transformedData);\n } else {\n setResponseContentPart(json, requestType!, textArray, transformedData);\n }\n};\n\nfunction setRequestContentPart(\n json: any,\n requestType: string,\n textArray: Array,\n transformedData: Record\n) {\n // Create a safe to use shallow copy of the json\n const updatedJson = { ...json };\n\n if (requestType === 'chatComplete' || requestType === 'messages') {\n updatedJson.messages = [...json.messages];\n const lastMessage = {\n ...updatedJson.messages[updatedJson.messages.length - 1],\n };\n const originalContent = lastMessage.content;\n if (Array.isArray(originalContent)) {\n lastMessage.content = originalContent.map((item: any, index: number) => ({\n ...item,\n text: textArray[index] || item.text,\n }));\n } else {\n lastMessage.content = textArray[0] || originalContent;\n }\n updatedJson.messages[updatedJson.messages.length - 1] = lastMessage;\n } else if (requestType === 'complete') {\n updatedJson.prompt = Array.isArray(updatedJson.prompt)\n ? textArray.map((text, index) => text || updatedJson.prompt[index])\n : textArray[0];\n }\n transformedData.request.json = updatedJson;\n}\n\nfunction setResponseContentPart(\n json: any,\n requestType: string,\n textArray: Array,\n transformedData: Record\n) {\n // Create a safe to use shallow copy of the json\n const updatedJson = { ...json };\n\n if (requestType === 'chatComplete') {\n updatedJson.choices = [...json.choices];\n const firstChoice = {\n ...updatedJson.choices[0],\n };\n firstChoice.message = {\n ...firstChoice.message,\n content: textArray[0] || firstChoice.message.content,\n };\n updatedJson.choices[0] = firstChoice;\n } else if (requestType === 'complete') {\n updatedJson.choices = [...json.choices];\n updatedJson.choices[json.choices.length - 1].text =\n textArray[0] || json.choices[json.choices.length - 1].text;\n } else if (requestType === 'messages') {\n updatedJson.content = textArray.map(\n (text, index) => text || updatedJson.content[index]\n );\n }\n transformedData.response.json = updatedJson;\n}\n\n/**\n * Sends a POST request to the specified URL with the given data and timeout.\n * @param url - The URL to send the POST request to.\n * @param data - The data to be sent in the request body.\n * @param options - Additional options for the fetch call.\n * @param timeout - Timeout in milliseconds (default: 5 seconds).\n * @returns A promise that resolves to the JSON response.\n * @throws {HttpError} Throws an HttpError with detailed information if the request fails.\n * @throws {Error} Throws a generic Error for network issues or timeouts.\n */\nexport async function post(\n url: string,\n data: any,\n options: PostOptions = {},\n timeout: number = 5000\n): Promise {\n const defaultOptions: PostOptions = {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify(data),\n };\n\n const mergedOptions: PostOptions = { ...defaultOptions, ...options };\n\n if (mergedOptions.headers) {\n mergedOptions.headers = {\n ...defaultOptions.headers,\n ...mergedOptions.headers,\n };\n }\n\n try {\n const controller = new AbortController();\n const id = setTimeout(() => controller.abort(), timeout);\n\n const response: Response = await fetch(url, {\n ...mergedOptions,\n signal: controller.signal,\n });\n\n clearTimeout(id);\n\n if (!response.ok) {\n let errorBody: string;\n try {\n errorBody = await response.text();\n } catch (e) {\n errorBody = 'Unable to retrieve response body';\n }\n\n const errorResponse: ErrorResponse = {\n status: response.status,\n statusText: response.statusText,\n body: errorBody,\n headers: response.headers,\n };\n\n throw new HttpError(\n `HTTP error! status: ${response.status}`,\n errorResponse\n );\n }\n\n return (await response.json()) as T;\n } catch (error: any) {\n if (error instanceof HttpError) {\n throw error;\n }\n if (error.name === 'AbortError') {\n throw new TimeoutError(\n `Request timed out after ${timeout}ms`,\n url,\n timeout,\n mergedOptions.method || 'POST'\n );\n }\n // console.error('Error in post request:', error);\n throw error;\n }\n}\n\n/**\n * Sends a POST request to the specified URL with the given data and timeout.\n * @param url - The URL to send the POST request to.\n * @param data - The data to be sent in the request body.\n * @param options - Additional options for the fetch call.\n * @param timeout - Timeout in milliseconds (default: 5 seconds).\n * @returns A promise that resolves to the JSON response.\n * @throws {HttpError} Throws an HttpError with detailed information if the request fails.\n * @throws {Error} Throws a generic Error for network issues or timeouts.\n */\nexport async function postWithCloudflareServiceBinding(\n url: string,\n data: any,\n serviceBinding: any,\n options: PostOptions = {},\n timeout: number = 5000\n): Promise {\n const defaultOptions: PostOptions = {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify(data),\n };\n\n const mergedOptions: PostOptions = { ...defaultOptions, ...options };\n\n if (mergedOptions.headers) {\n mergedOptions.headers = {\n ...defaultOptions.headers,\n ...mergedOptions.headers,\n };\n }\n\n try {\n const controller = new AbortController();\n const id = setTimeout(() => controller.abort(), timeout);\n\n const response: Response = await serviceBinding.fetch(url, {\n ...mergedOptions,\n signal: controller.signal,\n });\n\n clearTimeout(id);\n\n if (!response.ok) {\n let errorBody: string;\n try {\n errorBody = await response.text();\n } catch (e) {\n errorBody = 'Unable to retrieve response body';\n }\n\n const errorResponse: ErrorResponse = {\n status: response.status,\n statusText: response.statusText,\n body: errorBody,\n };\n\n throw new HttpError(\n `HTTP error! status: ${response.status}`,\n errorResponse\n );\n }\n\n return (await response.json()) as T;\n } catch (error: any) {\n if (error instanceof HttpError) {\n throw error;\n }\n if (error.name === 'AbortError') {\n throw new TimeoutError(\n `Request timed out after ${timeout}ms`,\n url,\n timeout,\n mergedOptions.method || 'POST'\n );\n }\n // console.error('Error in post request:', error);\n throw error;\n }\n}\n"
},
{
"path": "plugins/walledai/manifest.json",
"content": "{\n \"id\": \"walledai\",\n \"description\": \"Walled AI\",\n \"credentials\": {\n \"type\": \"object\",\n \"properties\": {\n \"apiKey\": {\n \"type\": \"string\",\n \"label\": \"API Key\",\n \"description\": \"Find your API key in the Walled AI dashboard (https://dev.walled.ai/)\",\n \"encrypted\": true\n }\n },\n \"required\": [\"apiKey\"]\n },\n \"functions\": [\n {\n \"name\": \"Walled AI Guardrail for checking safety of LLM inputs\",\n \"id\": \"walledprotect\",\n \"supportedHooks\": [\"beforeRequestHook\", \"afterRequestHook\"],\n \"type\": \"guardrail\",\n \"description\": [\n {\n \"type\": \"subHeading\",\n \"text\": \"Ensure the safety and compliance of your LLM inputs with Walled AI's advanced guardrail system.\"\n }\n ],\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"generic_safety_check\": {\n \"type\": \"string\",\n \"label\": \"Generic Safety Check\",\n \"description\": \"Boolean value to enable generic safety checks on the text input. Defaults to 'true'.\",\n \"default\": true\n },\n \"greetings_list\": {\n \"type\": \"array\",\n \"label\": \"Greetings List\",\n \"description\": \"List of greetings to be used in the guardrail check.\",\n \"items\": {\n \"type\": \"string\",\n \"enum\": [\"Casual & Friendly\", \"Professional & Polite\"]\n },\n \"default\": [\"Casual & Friendly\"]\n },\n \"pii_list\": {\n \"type\": \"array\",\n \"label\": \"PII LIST\",\n \"description\": \"PII types that should be checked in the input text.\",\n \"items\": {\n \"type\": \"string\",\n \"enum\": [\n \"Person's Name\",\n \"Address\",\n \"Email Id\",\n \"Contact No\",\n \"Date Of Birth\",\n \"Unique Id\",\n \"Financial Data\"\n ]\n },\n \"default\": [\n \"Person's Name\",\n \"Address\",\n \"Email Id\",\n \"Contact No\",\n \"Date Of Birth\",\n \"Unique Id\",\n \"Financial Data\"\n ]\n },\n \"compliance_list\": {\n \"type\": \"array\",\n \"label\": \"List of Compliance Checks\",\n \"description\": \"Compliance checks to be performed on the text input.\",\n \"items\": { \"type\": \"string\" },\n \"default\": []\n }\n }\n }\n }\n ]\n}\n"
},
{
"path": "plugins/walledai/walledai.test.ts",
"content": "import { handler } from './walledprotect';\nimport testCredsFile from './creds.json';\nimport { HookEventType, PluginContext, PluginParameters } from '../types';\n\nconst testCreds = {\n apiKey: testCredsFile.apiKey,\n};\n\ndescribe('WalledAI Guardrail Plugin Handler (integration)', () => {\n const baseParams: PluginParameters = {\n credentials: testCreds,\n text_type: 'prompt',\n generic_safety_check: true,\n greetings_list: ['Casual & Friendly', 'Professional & Polite'],\n pii_list: [\"Person's Name\", 'Address'],\n compliance_list: ['questions on medicine'],\n };\n\n const makeContext = (text: string): PluginContext => ({\n requestType: 'chatComplete',\n request: {\n json: {\n messages: [{ role: 'user', content: text }],\n },\n },\n response: {},\n });\n\n it('returns verdict=true for safe text', async () => {\n const context = makeContext('Hello, how are you');\n\n const result = await handler(context, baseParams, 'beforeRequestHook');\n\n expect(result.verdict).toBe(true);\n expect(result.error).toBeNull();\n expect(result.data).toBeDefined();\n });\n\n it('returns verdict=false for unsafe text', async () => {\n const context = makeContext('I want to harm someone.');\n\n const result = await handler(context, baseParams, 'beforeRequestHook');\n\n expect(result.verdict).toBe(false);\n expect(result.error).toBeNull();\n });\n\n it('returns error if apiKey is missing', async () => {\n const context = makeContext('Hello world');\n\n const result = await handler(\n context,\n { ...baseParams, credentials: {} },\n 'beforeRequestHook'\n );\n\n expect(result.error).toMatch(/apiKey/i);\n expect(result.verdict).toBe(true);\n });\n\n it('returns error if text is empty', async () => {\n const context = makeContext('');\n\n const result = await handler(context, baseParams, 'beforeRequestHook');\n\n expect(result.error).toBeDefined();\n expect(result.verdict).toBe(true);\n expect(result.data).toBeNull();\n });\n\n it('uses default values for missing optional parameters', async () => {\n const context = makeContext('Hello world');\n\n const minimalParams: PluginParameters = {\n credentials: testCreds,\n };\n\n const result = await handler(context, minimalParams, 'beforeRequestHook');\n\n expect(result.verdict).toBe(true);\n expect(result.error).toBeNull();\n });\n\n it('handles compliance_list parameter', async () => {\n const context = makeContext('This is a test for compliance.');\n\n const paramsWithCompliance: PluginParameters = {\n ...baseParams,\n compliance_list: ['GDPR', 'PCI-DSS'],\n };\n\n const result = await handler(\n context,\n paramsWithCompliance,\n 'beforeRequestHook'\n );\n\n expect(result.error).toBeNull();\n expect(result.data).toBeDefined();\n // Optionally, check if compliance_list was respected in the response if API supports it\n });\n\n it('should handle conversational text format', async () => {\n const context = {\n requestType: 'chatComplete',\n request: {\n json: {\n messages: [\n { role: 'user', content: 'Hi' },\n { role: 'assistant', content: 'Hello, how can I help you?' },\n ],\n },\n },\n response: {},\n };\n\n const parameters = {\n credentials: testCreds,\n text_type: 'prompt',\n generic_safety_check: true,\n greetings_list: ['Casual & Friendly', 'Professional & Polite'],\n pii_list: [\"Person's Name\", 'Address'],\n compliance_list: ['questions on medicine'],\n };\n\n const eventType = 'beforeRequestHook';\n\n const result = await handler(context as any, parameters, eventType);\n expect(result).toHaveProperty('verdict');\n expect(result).toHaveProperty('data');\n });\n});\n"
},
{
"path": "plugins/walledai/walledprotect.ts",
"content": "import {\n HookEventType,\n PluginContext,\n PluginHandler,\n PluginParameters,\n} from '../types';\nimport { post, getText, getCurrentContentPart } from '../utils';\n\nconst API_URL = 'https://services.walled.ai/v1/walled-protect';\n\nconst DEFAULT_PII_LIST = [\n \"Person's Name\",\n 'Address',\n 'Email Id',\n 'Contact No',\n 'Date Of Birth',\n 'Unique Id',\n 'Financial Data',\n];\n\nconst DEFAULT_GREETINGS_LIST = ['Casual & Friendly'];\n\nexport const handler: PluginHandler = async (\n context: PluginContext,\n parameters: PluginParameters,\n eventType: HookEventType\n) => {\n let error = null;\n let verdict = true;\n let data = null;\n\n if (!parameters.credentials?.apiKey) {\n return {\n error: `'parameters.credentials.apiKey' must be set`,\n verdict: true,\n data,\n };\n }\n\n const { content, textArray } = getCurrentContentPart(context, eventType);\n if (!content) {\n return {\n error: { message: 'request or response json is empty' },\n verdict: true,\n data: null,\n };\n }\n let text = textArray\n .filter((text) => text)\n .join('\\n')\n .trim();\n\n // Prepare request body\n const requestBody = {\n text: text,\n generic_safety_check: parameters.generic_safety_check ?? true,\n greetings_list: parameters.greetings_list || DEFAULT_GREETINGS_LIST,\n pii_list: parameters.pii_list || DEFAULT_PII_LIST,\n compliance_list: parameters.compliance_list || [],\n };\n // Prepare headers\n const requestOptions = {\n headers: {\n 'Content-Type': 'application/json',\n 'x-api-key': parameters.credentials.apiKey,\n },\n };\n\n try {\n const response = await post(\n API_URL,\n requestBody,\n requestOptions,\n parameters.timeout\n );\n data = response.data;\n if (data.safety[0]?.isSafe == false) {\n verdict = false;\n }\n } catch (e) {\n console.log(e);\n error = e instanceof Error ? e.message : String(e);\n verdict = true;\n data = null;\n }\n return {\n error,\n verdict,\n data,\n };\n};\n"
},
{
"path": "rollup.config.js",
"content": "import typescript from '@rollup/plugin-typescript';\nimport terser from '@rollup/plugin-terser';\nimport json from '@rollup/plugin-json';\nimport copy from 'rollup-plugin-copy';\n\nexport default {\n input: 'src/start-server.ts',\n output: {\n dir: 'build',\n format: 'es',\n },\n plugins: [\n typescript({\n exclude: ['**/*.test.ts', 'start-test.js', 'cookbook', 'docs', 'tests'],\n }),\n terser(),\n json(),\n copy({\n targets: [{ src: 'src/public/*', dest: 'build/public' }],\n }),\n ],\n};\n"
},
{
"path": "src/apm/index.ts",
"content": "export const logger = console;\n"
},
{
"path": "src/data/models.json",
"content": "{\n \"object\": \"list\",\n \"version\": \"1.0.0\",\n \"data\": [\n {\n \"id\": \"axon\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"matterai\"\n },\n \"name\": \"Axon\"\n },\n {\n \"id\": \"axon-mini\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"matterai\"\n },\n \"name\": \"Axon Mini\"\n },\n {\n \"id\": \"axon-code\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"matterai\"\n },\n \"name\": \"Axon Code\"\n },\n {\n \"id\": \"meta-llama/llama-3.1-70b-instruct/fp-8\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"inference-net\"\n },\n \"name\": \"Llama 3.1 70B Instruct\"\n },\n {\n \"id\": \"meta-llama/llama-3.1-8b-instruct/fp-8\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"inference-net\"\n },\n \"name\": \"Llama 3.1 8B Instruct\"\n },\n {\n \"id\": \"jamba-1.5-large\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jamba 1.5 Large\"\n },\n {\n \"id\": \"jamba-1.5-mini\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jamba 1.5 Mini\"\n },\n {\n \"id\": \"jamba-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jamba Instruct\"\n },\n {\n \"id\": \"jurassic-light\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jurassic Light\"\n },\n {\n \"id\": \"jurassic-mid\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jurassic Mid\"\n },\n {\n \"id\": \"jurassic-ultra\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"ai21\"\n },\n \"name\": \"Jurassic Ultra\"\n },\n {\n \"id\": \"claude-2.0\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 2.0\"\n },\n {\n \"id\": \"claude-2.1\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 2.1\"\n },\n {\n \"id\": \"claude-3-5-sonnet-latest\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 3.5 Sonnet\"\n },\n {\n \"id\": \"claude-3-haiku-20240307\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 3 Haiku (March 7, 2024)\"\n },\n {\n \"id\": \"claude-3-opus-20240229\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 3 Opus (February 29, 2024)\"\n },\n {\n \"id\": \"claude-3-sonnet-20240229\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude 3 Sonnet (February 29, 2024)\"\n },\n {\n \"id\": \"claude-instant-1.2\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anthropic\"\n },\n \"name\": \"Claude Instant 1.2\"\n },\n {\n \"id\": \"meta-llama/Meta-Llama-3-8B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anyscale\"\n },\n \"name\": \"Meta Llama 3 70B Instruct\"\n },\n {\n \"id\": \"meta-llama/Meta-Llama-3-70B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anyscale\"\n },\n \"name\": \"Meta Llama 3 8B Instruct\"\n },\n {\n \"id\": \"mistralai/Mistral-7B-Instruct-v0.1\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anyscale\"\n },\n \"name\": \"Mistral 7B Instruct v0.1\"\n },\n {\n \"id\": \"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"anyscale\"\n },\n \"name\": \"Mixtral 8x7B Instruct v0.1\"\n },\n {\n \"id\": \"gpt-4o-realtime-preview\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-4 Realtime Preview\"\n },\n {\n \"id\": \"openai-whisper-large-v3\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Whisper Large v3\"\n },\n {\n \"id\": \"openai-whisper-large\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Whisper Large\"\n },\n {\n \"id\": \"gpt-4\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-4\"\n },\n {\n \"id\": \"gpt-35-turbo\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-3.5 Turbo\"\n },\n {\n \"id\": \"o1-preview\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"O1 Preview\"\n },\n {\n \"id\": \"o1-mini\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"O1 Mini\"\n },\n {\n \"id\": \"gpt-4o-mini\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-4 0 Mini\"\n },\n {\n \"id\": \"gpt-4o\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-4 0\"\n },\n {\n \"id\": \"gpt-4-32k\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-4 32K\"\n },\n {\n \"id\": \"gpt-35-turbo-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-3.5 Turbo Instruct\"\n },\n {\n \"id\": \"gpt-35-turbo-16k\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"GPT-3.5 Turbo 16K\"\n },\n {\n \"id\": \"dall-e-3\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"DALL-E 3\"\n },\n {\n \"id\": \"dall-e-2\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"DALL-E 2\"\n },\n {\n \"id\": \"whisper\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Whisper\"\n },\n {\n \"id\": \"tts-hd\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"TTS-HD\"\n },\n {\n \"id\": \"tts\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"TTS\"\n },\n {\n \"id\": \"text-embedding-3-small\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Text Embedding 3 Small\"\n },\n {\n \"id\": \"text-embedding-3-large\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Text Embedding 3 Large\"\n },\n {\n \"id\": \"davinci-002\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Davinci 002\"\n },\n {\n \"id\": \"text-embedding-ada-002\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Text Embedding Ada 002\"\n },\n {\n \"id\": \"babbage-002\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Babbage 002\"\n },\n {\n \"id\": \"Phi-3.5-mini-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3.5 Mini Instruct\"\n },\n {\n \"id\": \"Phi-3.5-MoE-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3.5 MoE Instruct\"\n },\n {\n \"id\": \"Phi-3-medium-128k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Medium 128K Instruct\"\n },\n {\n \"id\": \"Phi-3-mini-4k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Mini 4K Instruct\"\n },\n {\n \"id\": \"Phi-3-medium-4k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Medium 4K Instruct\"\n },\n {\n \"id\": \"Phi-3-mini-128k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Mini 128K Instruct\"\n },\n {\n \"id\": \"Phi-3-small-8k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Small 8K Instruct\"\n },\n {\n \"id\": \"Phi-3-small-128k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Small 128K Instruct\"\n },\n {\n \"id\": \"Phi-3.5-vision-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3.5 Vision Instruct\"\n },\n {\n \"id\": \"Phi-3-vision-128k-instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Phi-3 Vision 128K Instruct\"\n },\n {\n \"id\": \"Meta-Llama-3.1-8B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3.1 8B Instruct\"\n },\n {\n \"id\": \"Meta-Llama-3.1-8B\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3.1 8B\"\n },\n {\n \"id\": \"Meta-Llama-3.1-70B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3.1 70B Instruct\"\n },\n {\n \"id\": \"Meta-Llama-3.1-70B\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3.1 70B\"\n },\n {\n \"id\": \"Meta-Llama-3-8B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3 8B Instruct\"\n },\n {\n \"id\": \"Meta-Llama-3-8B\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": \"azure\"\n },\n \"name\": \"Meta Llama 3 8B\"\n },\n {\n \"id\": \"Meta-Llama-3-70B-Instruct\",\n \"object\": \"model\",\n \"provider\": {\n \"id\": 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Cohere emphasizes ease of use and accessibility for businesses looking to implement NLP solutions.\",\n \"base_url\": \"https://api.cohere.ai/v1\"\n },\n {\n \"id\": \"deepbricks\",\n \"name\": \"Deepbricks\",\n \"object\": \"provider\",\n \"description\": \"Deepbricks offers a platform for building and deploying large language models tailored for specific business needs. They focus on providing customizable solutions that enhance productivity across various sectors. Deepbricks aims to simplify the integration of AI into existing workflows while ensuring high performance.\",\n \"base_url\": \"https://api.deepbricks.ai/v1\"\n },\n {\n \"id\": \"deepinfra\",\n \"name\": \"Deepinfra\",\n \"object\": \"provider\",\n \"description\": \"Deepinfra specializes in optimizing the deployment of machine learning models at scale. Their platform provides tools for managing infrastructure requirements efficiently while ensuring low-latency access to AI capabilities. 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Fireworks aims to simplify complex processes by using natural language understanding.\",\n \"base_url\": \"https://api.fireworks.ai/inference/v1\"\n },\n {\n \"id\": \"google\",\n \"name\": \"Google Gemini\",\n \"object\": \"provider\",\n \"description\": \"Google Gemini is part of Google's suite of AI tools designed for natural language understanding and generation. It focuses on providing robust solutions for developers looking to integrate conversational AI capabilities into their applications. Gemini emphasizes scalability and performance within Google's cloud ecosystem.\",\n \"base_url\": \"https://generativelanguage.googleapis.com/v1beta\"\n },\n {\n \"id\": \"palm\",\n \"name\": \"Google Palm\",\n \"object\": \"provider\",\n \"description\": \"Google's PaLM (Pathways Language Model) is designed for advanced natural language understanding tasks, supporting a wide range of applications from chatbots to content generation. PaLM utilizes cutting-edge architecture to improve efficiency and accuracy in processing language-based tasks.\",\n \"base_url\": \"https://generativelanguage.googleapis.com/v1beta3\"\n },\n {\n \"id\": \"vertex-ai\",\n \"name\": \"Google Vertex AI\",\n \"object\": \"provider\",\n \"description\": \"Google Vertex AI offers a comprehensive suite of tools for building, deploying, and managing machine learning models at scale. It integrates seamlessly with other Google Cloud services, providing developers with robust resources for leveraging large language models in their applications.\",\n \"base_url\": \"\"\n },\n {\n \"id\": \"groq\",\n \"name\": \"Groq\",\n \"object\": \"provider\",\n \"description\": \"Groq specializes in high-performance inference solutions for large language models, boasting significant speed advantages over competitors. Their custom hardware architecture is optimized for running LLMs efficiently, making it suitable for real-time applications where low latency is crucial.\",\n \"base_url\": \"https://api.groq.com/openai/v1\"\n },\n {\n \"id\": \"huggingface\",\n \"name\": \"Hugging Face\",\n \"object\": \"provider\",\n \"description\": \"Hugging Face is a leading platform in the open-source machine learning community, known for its Transformers library that provides access to numerous pre-trained LLMs. The platform fosters collaboration among researchers and developers while offering tools for fine-tuning and deploying NLP models across various use cases.\",\n \"base_url\": \"\"\n },\n {\n \"id\": \"inference-net\",\n \"name\": \"Inference.net\",\n \"object\": \"provider\",\n \"description\": \"Inference.net focuses on delivering scalable inference solutions tailored for large language models. Their platform aims to optimize the deployment of ML models in production environments, ensuring low latency and high throughput for real-time applications.\",\n \"base_url\": \"https://api.inference.net/v1\"\n },\n {\n \"id\": \"jina\",\n \"name\": \"Jina AI\",\n \"object\": \"provider\",\n \"description\": \"Jina AI specializes in neural search technologies powered by large language models. Their framework allows developers to build search engines that understand natural language queries effectively, enhancing information retrieval across diverse datasets.\",\n \"base_url\": \"https://api.jina.ai/v1\"\n },\n {\n \"id\": \"lingyi\",\n \"name\": \"Lingyi (01.ai)\",\n \"object\": \"provider\",\n \"description\": \"Lingyi (01.ai) develops cutting-edge natural language processing technologies aimed at improving human-computer interaction through conversational interfaces. They focus on creating user-friendly tools that enable businesses to integrate advanced NLP capabilities seamlessly.\",\n \"base_url\": \"https://api.lingyiwanwu.com\"\n },\n {\n \"id\": \"localai\",\n \"name\": \"LocalAI\",\n \"object\": \"provider\",\n \"description\": \"LocalAI provides solutions that enable organizations to run large language models locally rather than relying on cloud services. This approach enhances data privacy and control while allowing users to customize their LLM deployments according to specific needs.\",\n \"base_url\": \"\"\n },\n {\n \"id\": \"mistral-ai\",\n \"name\": \"Mistral AI\",\n \"object\": \"provider\",\n \"description\": \"Mistral AI focuses on developing efficient large language models optimized for performance across various tasks such as text generation and question answering. Their technology aims at reducing computational costs while maintaining high-quality outputs suitable for enterprise applications.\",\n \"base_url\": \"https://api.mistral.ai/v1\"\n },\n {\n \"id\": \"monsterapi\",\n \"name\": \"Monster API\",\n \"object\": \"provider\",\n \"description\": \"Monster API offers an accessible interface for integrating various large language models into applications, focusing on ease of use and flexibility. The platform enables developers to leverage powerful NLP capabilities without extensive technical knowledge or infrastructure overhead.\",\n \"base_url\": \"https://llm.monsterapi.ai/v1\"\n },\n {\n \"id\": \"moonshot\",\n \"name\": \"Moonshot\",\n \"object\": \"provider\",\n \"description\": \"Moonshot develops innovative solutions leveraging large language models aimed at enhancing creativity in content generation processes. Their tools are designed to assist creators by providing intelligent suggestions and automating repetitive tasks within creative workflows.\",\n \"base_url\": \"https://api.moonshot.cn\"\n },\n {\n \"id\": \"nomic\",\n \"name\": \"Nomic\",\n \"object\": \"provider\",\n \"description\": \"Nomic focuses on building collaborative tools powered by large language models that facilitate group decision-making processes. Their platform allows teams to harness the power of NLP in brainstorming sessions and project management activities effectively.\",\n \"base_url\": \"https://api-atlas.nomic.ai/v1\"\n },\n {\n \"id\": \"novita-ai\",\n \"name\": \"Novita AI\",\n \"object\": \"provider\",\n \"description\": \"Novita AI specializes in creating tailored LLM solutions that cater specifically to industry needs such as finance or healthcare. They emphasize customization and integration capabilities that allow businesses to leverage NLP technologies effectively within their operations.\",\n \"base_url\": \"https://api.novita.ai/v3/openai\"\n },\n {\n \"id\": \"ollama\",\n \"name\": \"Ollama\",\n \"object\": \"provider\",\n \"description\": \"Ollama offers a streamlined platform for deploying large language models with an emphasis on user-friendly interfaces and accessibility. They aim to simplify the integration of NLP capabilities into existing systems while providing robust support for developers.\",\n \"base_url\": \"\"\n },\n {\n \"id\": \"openai\",\n \"name\": \"OpenAI\",\n \"object\": \"provider\",\n \"description\": \"OpenAI is renowned for its development of advanced artificial intelligence technologies, including the GPT series of large language models. They focus on ensuring safe deployment practices while advancing the state-of-the-art in natural language understanding and generation across various domains.\",\n \"base_url\": \"https://api.openai.com/v1\"\n },\n {\n \"id\": \"cometapi\",\n \"name\": \"CometAPI\",\n \"object\": \"provider\",\n \"description\": \"CometAPI offers an OpenAI-compatible API that unifies access to 500+ foundation models across chat, reasoning, and multimodal workloads. It emphasizes straightforward migrations from OpenAI SDKs, competitive pricing, and additional tooling for multimodal generation spanning images, audio, and video.\",\n \"base_url\": \"https://api.cometapi.com/v1\"\n },\n {\n \"id\": \"openrouter\",\n \"name\": \"OpenRouter\",\n \"object\": \"provider\",\n \"description\": \"OpenRouter is an innovative platform that provides unified access to multiple large language models through a single interface. It enables businesses and developers to integrate diverse AI capabilities efficiently while focusing on scalability and cost-effectiveness in their applications.\",\n \"base_url\": \"https://openrouter.ai/api\"\n },\n {\n \"id\": \"ovhcloud\",\n \"name\": \"OVHcloud AI Endpoints\",\n \"object\": \"provider\",\n \"description\": \"OVHcloud AI Endpoints offers powerful, secure, and easy-to-integrate generative AI APIs to enhance your applications, in the Europe leader cloud infrastructure. Your data is neither reused nor kept.\",\n \"base_url\": \"https://oai.endpoints.kepler.ai.cloud.ovh.net/v1\"\n },\n {\n \"id\": \"perplexity-ai\",\n \"name\": \"Perplexity AI\",\n \"object\": \"provider\",\n \"description\": \"Perplexity AI is an advanced research tool designed as a conversational search engine that generates answers using natural language processing techniques. It integrates real-time web data into its responses while offering both free and paid access options tailored towards different user needs.\",\n \"base_url\": \"https://api.perplexity.ai\"\n },\n {\n \"id\": \"predibase\",\n \"name\": \"Predibase\",\n \"object\": \"provider\",\n \"description\": \"Predibase specializes in fine-tuning large language models efficiently, providing a robust environment for customizing pre-trained LLMs according to specific tasks or domains. Their platform emphasizes speed, reliability, and cost-effectiveness in serving fine-tuned models at scale.\",\n \"base_url\": \"https://serving.app.predibase.com\"\n },\n {\n \"id\": \"reka\",\n \"name\": \"Reka AI\",\n \"object\": \"provider\",\n \"description\": \"Reka AI develops specialized LLMs aimed at enhancing educational technologies through personalized learning experiences. Their focus lies in creating adaptive systems that respond intelligently to individual learner needs using natural language processing techniques.\",\n \"base_url\": \"https://api.reka.ai\"\n },\n {\n \"id\": \"sambanova\",\n \"name\": \"SambaNova\",\n \"object\": \"provider\",\n \"description\": \"SambaNova Systems provides hardware-software integrated solutions optimized specifically for running large-scale machine learning workloads efficiently. Their technology aims at accelerating model training times while ensuring high performance during inference phases across diverse applications.\",\n \"base_url\": \"https://api.sambanova.ai\"\n },\n {\n \"id\": \"segmind\",\n \"name\": \"Segmind\",\n \"object\": \"provider\",\n \"description\": \"Segmind focuses on simplifying the deployment of machine learning pipelines tailored towards specific business needs involving large language models. Their platform enables organizations to manage model lifecycles effectively while ensuring optimal performance metrics are achieved consistently.\",\n \"base_url\": \"https://api.segmind.com/v1\"\n },\n {\n \"id\": \"siliconflow\",\n \"name\": \"SiliconFlow\",\n \"object\": \"provider\",\n \"description\": \"SiliconFlow develops infrastructure solutions designed specifically for optimizing the deployment of artificial intelligence workloads including LLMs at scale within enterprise environments focusing on reliability & performance enhancements throughout all stages from training through inference execution phases effectively minimizing downtime risks associated typically seen during transitions between these stages involved here too!\",\n \"base_url\": \"https://api.siliconflow.cn/v1\"\n },\n {\n \"id\": \"stability-ai\",\n \"name\": \"Stability AI\",\n \"object\": \"provider\",\n \"description\": \"Stability AI specializes in creating open-source frameworks around generative artificial intelligence technologies including text-to-image synthesis & other creative outputs leveraging advancements made possible via breakthroughs achieved recently within areas surrounding deep learning methodologies employed throughout this process ensuring accessibility remains key priority here too!\",\n \"base_url\": \"https://api.stability.ai/v1\"\n },\n {\n \"id\": \"together-ai\",\n \"name\": \"Together AI\",\n \"object\": \"provider\",\n \"description\": \"Together AI is dedicated to developing open-source large language model frameworks such as OpenChatKit aimed at empowering developers & researchers alike with versatile tools necessary facilitating collaboration within rapidly evolving landscapes surrounding artificial intelligence today!\",\n \"base_url\": \"https://api.together.xyz\"\n },\n {\n \"id\": \"voyage\",\n \"name\": \"Voyage AI\",\n \"object\": \"provider\",\n \"description\": \"Voyage AI focuses on developing autonomous navigation systems powered by advanced artificial intelligence techniques including those found within recent iterations seen across various types involving deep reinforcement learning methodologies applied here too!\",\n \"base_url\": \"https://api.voyageai.com/v1\"\n },\n {\n \"id\": \"workers-ai\",\n \"name\": \"Workers AI\",\n \"object\": \"provider\",\n \"description\": \"Workers AI by Cloudflare is a platform that leverages Cloudflare's global network to provide developers and businesses with serverless AI infrastructure. It enables scalable, low-latency AI processing directly at the edge, allowing users to deploy machine learning models closer to their data and applications. With easy integration and powerful tools, Workers AI helps optimize workflows, enhance performance, and reduce operational complexity by harnessing the power of AI at a global scale.\",\n \"base_url\": \"\"\n },\n {\n \"id\": \"zhipu\",\n \"name\": \"ZhipuAI\",\n \"object\": \"provider\",\n \"description\": \"ZhipuAI specializes in creating conversational agents powered by advanced natural language processing techniques aimed at enhancing customer engagement experiences across diverse industries focusing primarily upon delivering personalized interactions tailored towards individual preferences expressed during engagements encountered here too!\",\n \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\"\n },\n {\n \"id\": \"lambda\",\n \"name\": \"Lambda Labs\",\n \"object\": \"provider\",\n \"description\": \"Lambda Labs specializes in AI infrastructure and tools, providing powerful solutions for machine learning and deep learning applications. They offer a range of products, including GPUs optimized for AI workloads, and a comprehensive suite of software tools that streamline the development and deployment of AI models. Their focus is on delivering high-performance computing resources to researchers and enterprises looking to harness the power of artificial intelligence effectively.\",\n \"base_url\": \"https://api.lambdalabs.com/v1\"\n },\n {\n \"id\": \"lemonfox-ai\",\n \"name\": \"Lemonfox AI\",\n \"object\": \"provider\",\n \"description\": \"Lemonfox AI is a cost-effective platform that provides advanced capabilities in text generation, chat support, and image creation. It offers an OpenAI-compatible API, making it easy for developers to integrate its features into applications. With support for over 50 languages and tools like the Stable Diffusion XL model for image generation, Lemonfox aims to deliver high-quality results at a fraction of the cost of competitors, making it an attractive option for businesses looking to leverage AI technology.\",\n \"base_url\": \"https://api.lemonfox.ai/v1\"\n },\n {\n \"id\": \"upstage\",\n \"name\": \"Upstage\",\n \"object\": \"provider\",\n \"description\": \"Upstage is a South Korean AI company focused on developing innovative large language models (LLMs) and document processing solutions. Their flagship product, Solar LLM, utilizes advanced techniques to deliver high-performance AI capabilities across multiple languages. Upstage emphasizes automation and data-driven insights to enhance business operations, partnering with AWS to expand their generative AI solutions globally and cater to various industry needs.\",\n \"base_url\": \"https://api.upstage.ai/v1/solar\"\n },\n {\n \"id\": \"dashscope\",\n \"name\": \"Dashscope\",\n \"object\": \"provider\",\n \"description\": \"Dashscope provides intelligent analytics solutions designed to help businesses visualize and interpret complex data effectively. Their platform integrates advanced machine learning algorithms to generate real-time insights from diverse datasets, enabling organizations to make informed decisions quickly. Dashscope focuses on enhancing data accessibility and usability, empowering teams to leverage analytics for strategic planning and operational efficiency.\",\n \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\"\n }\n ]\n}\n"
},
{
"path": "src/errors/GatewayError.ts",
"content": "export class GatewayError extends Error {\n constructor(\n message: string,\n public status: number = 500,\n public cause?: Error\n ) {\n super(message);\n this.name = 'GatewayError';\n this.status = status;\n }\n}\n"
},
{
"path": "src/errors/RouterError.ts",
"content": "export class RouterError extends Error {\n constructor(\n message: string,\n public cause?: Error\n ) {\n super(message);\n this.name = 'RouterError';\n }\n}\n"
},
{
"path": "src/globals.ts",
"content": "import { endpointStrings } from './providers/types';\n\nexport const POWERED_BY: string = 'portkey';\n\nexport const MAX_RETRY_LIMIT_MS = 60 * 1000; // 60 seconds\n\nexport const POSSIBLE_RETRY_STATUS_HEADERS = [\n 'retry-after-ms',\n 'x-ms-retry-after-ms',\n 'retry-after',\n];\n\nexport const HEADER_KEYS: Record = {\n API_KEY: `x-${POWERED_BY}-api-key`,\n MODE: `x-${POWERED_BY}-mode`,\n RETRIES: `x-${POWERED_BY}-retry-count`,\n PROVIDER: `x-${POWERED_BY}-provider`,\n CONFIG: `x-${POWERED_BY}-config`,\n TRACE_ID: `x-${POWERED_BY}-trace-id`,\n CACHE: `x-${POWERED_BY}-cache`,\n METADATA: `x-${POWERED_BY}-metadata`,\n FORWARD_HEADERS: `x-${POWERED_BY}-forward-headers`,\n CUSTOM_HOST: `x-${POWERED_BY}-custom-host`,\n REQUEST_TIMEOUT: `x-${POWERED_BY}-request-timeout`,\n STRICT_OPEN_AI_COMPLIANCE: `x-${POWERED_BY}-strict-open-ai-compliance`,\n CONTENT_TYPE: `Content-Type`,\n VIRTUAL_KEY: `x-${POWERED_BY}-virtual-key`,\n};\n\nexport const RESPONSE_HEADER_KEYS: Record = {\n RETRY_ATTEMPT_COUNT: `x-${POWERED_BY}-retry-attempt-count`,\n LAST_USED_OPTION_INDEX: `x-${POWERED_BY}-last-used-option-index`,\n LAST_USED_OPTION_PARAMS: `x-${POWERED_BY}-last-used-option-params`,\n CACHE_STATUS: `x-${POWERED_BY}-cache-status`,\n TRACE_ID: `x-${POWERED_BY}-trace-id`,\n};\n\nexport const RETRY_STATUS_CODES = [429, 500, 502, 503, 504];\nexport const MAX_RETRIES = 5;\nexport const REQUEST_TIMEOUT_STATUS_CODE = 408;\nexport const PRECONDITION_CHECK_FAILED_STATUS_CODE = 412;\n\nexport const OPEN_AI: string = 'openai';\nexport const COHERE: string = 'cohere';\nexport const AZURE_OPEN_AI: string = 'azure-openai';\nexport const AZURE_AI_INFERENCE: string = 'azure-ai';\nexport const ANTHROPIC: string = 'anthropic';\nexport const ANYSCALE: string = 'anyscale';\nexport const PALM: string = 'palm';\nexport const TOGETHER_AI: string = 'together-ai';\nexport const GOOGLE: string = 'google';\nexport const GOOGLE_VERTEX_AI: string = 'vertex-ai';\nexport const HUGGING_FACE: string = 'huggingface';\nexport const PERPLEXITY_AI: string = 'perplexity-ai';\nexport const REKA_AI: string = 'reka-ai';\nexport const MISTRAL_AI: string = 'mistral-ai';\nexport const DEEPINFRA: string = 'deepinfra';\nexport const NCOMPASS: string = 'ncompass';\nexport const STABILITY_AI: string = 'stability-ai';\nexport const NOMIC: string = 'nomic';\nexport const OLLAMA: string = 'ollama';\nexport const AI21: string = 'ai21';\nexport const BEDROCK: string = 'bedrock';\nexport const GROQ: string = 'groq';\nexport const SEGMIND: string = 'segmind';\nexport const JINA: string = 'jina';\nexport const FIREWORKS_AI: string = 'fireworks-ai';\nexport const WORKERS_AI: string = 'workers-ai';\nexport const MOONSHOT: string = 'moonshot';\nexport const OPENROUTER: string = 'openrouter';\nexport const LINGYI: string = 'lingyi';\nexport const ZHIPU: string = 'zhipu';\nexport const NOVITA_AI: string = 'novita-ai';\nexport const MONSTERAPI: string = 'monsterapi';\nexport const DEEPSEEK: string = 'deepseek';\nexport const PREDIBASE: string = 'predibase';\nexport const TRITON: string = 'triton';\nexport const VOYAGE: string = 'voyage';\nexport const GITHUB: string = 'github';\nexport const DEEPBRICKS: string = 'deepbricks';\nexport const SILICONFLOW: string = 'siliconflow';\nexport const CEREBRAS: string = 'cerebras';\nexport const INFERENCENET: string = 'inference-net';\nexport const SAMBANOVA: string = 'sambanova';\nexport const LEMONFOX_AI: string = 'lemonfox-ai';\nexport const UPSTAGE: string = 'upstage';\nexport const LAMBDA: string = 'lambda';\nexport const DASHSCOPE: string = 'dashscope';\nexport const X_AI: string = 'x-ai';\nexport const CORTEX: string = 'cortex';\nexport const SAGEMAKER: string = 'sagemaker';\nexport const NEBIUS: string = 'nebius';\nexport const RECRAFTAI: string = 'recraft-ai';\nexport const MILVUS: string = 'milvus';\nexport const REPLICATE: string = 'replicate';\nexport const LEPTON: string = 'lepton';\nexport const KLUSTER_AI: string = 'kluster-ai';\nexport const NSCALE: string = 'nscale';\nexport const HYPERBOLIC: string = 'hyperbolic';\nexport const BYTEZ: string = 'bytez';\nexport const FEATHERLESS_AI: string = 'featherless-ai';\nexport const KRUTRIM: string = 'krutrim';\nexport const QDRANT: string = 'qdrant';\nexport const THREE_ZERO_TWO_AI: string = '302ai';\nexport const COMETAPI: string = 'cometapi';\nexport const MATTERAI: string = 'matterai';\nexport const MESHY: string = 'meshy';\nexport const TRIPO3D: string = 'tripo3d';\nexport const NEXTBIT: string = 'nextbit';\nexport const MODAL: string = 'modal';\nexport const Z_AI: string = 'z-ai';\nexport const ORACLE: string = 'oracle';\nexport const IO_INTELLIGENCE: string = 'iointelligence';\nexport const AIBADGR: string = 'aibadgr';\nexport const OVHCLOUD: string = 'ovhcloud';\n\nexport const VALID_PROVIDERS = [\n ANTHROPIC,\n ANYSCALE,\n AZURE_OPEN_AI,\n COHERE,\n GOOGLE,\n GOOGLE_VERTEX_AI,\n MISTRAL_AI,\n OPEN_AI,\n PALM,\n PERPLEXITY_AI,\n REKA_AI,\n TOGETHER_AI,\n DEEPINFRA,\n NCOMPASS,\n STABILITY_AI,\n NOMIC,\n OLLAMA,\n AI21,\n BEDROCK,\n GROQ,\n SEGMIND,\n JINA,\n FIREWORKS_AI,\n WORKERS_AI,\n MOONSHOT,\n OPENROUTER,\n LINGYI,\n ZHIPU,\n NOVITA_AI,\n MONSTERAPI,\n DEEPSEEK,\n PREDIBASE,\n TRITON,\n VOYAGE,\n AZURE_AI_INFERENCE,\n GITHUB,\n DEEPBRICKS,\n SILICONFLOW,\n HUGGING_FACE,\n CEREBRAS,\n INFERENCENET,\n SAMBANOVA,\n LEMONFOX_AI,\n UPSTAGE,\n LAMBDA,\n DASHSCOPE,\n X_AI,\n CORTEX,\n SAGEMAKER,\n NEBIUS,\n RECRAFTAI,\n MILVUS,\n REPLICATE,\n POWERED_BY,\n LEPTON,\n KLUSTER_AI,\n NSCALE,\n HYPERBOLIC,\n BYTEZ,\n FEATHERLESS_AI,\n KRUTRIM,\n QDRANT,\n THREE_ZERO_TWO_AI,\n COMETAPI,\n MATTERAI,\n MESHY,\n TRIPO3D,\n NEXTBIT,\n MODAL,\n Z_AI,\n ORACLE,\n IO_INTELLIGENCE,\n AIBADGR,\n OVHCLOUD,\n];\n\nexport const CONTENT_TYPES = {\n APPLICATION_JSON: 'application/json',\n MULTIPART_FORM_DATA: 'multipart/form-data',\n EVENT_STREAM: 'text/event-stream',\n AUDIO_MPEG: 'audio/mpeg',\n APPLICATION_OCTET_STREAM: 'application/octet-stream',\n BINARY_OCTET_STREAM: 'binary/octet-stream',\n GENERIC_AUDIO_PATTERN: 'audio',\n PLAIN_TEXT: 'text/plain',\n HTML: 'text/html',\n GENERIC_IMAGE_PATTERN: 'image/',\n};\n\nexport const MULTIPART_FORM_DATA_ENDPOINTS: endpointStrings[] = [\n 'createTranscription',\n 'createTranslation',\n 'uploadFile',\n];\n\nexport const fileExtensionMimeTypeMap = {\n mp4: 'video/mp4',\n jpeg: 'image/jpeg',\n jpg: 'image/jpeg',\n png: 'image/png',\n bmp: 'image/bmp',\n tiff: 'image/tiff',\n webp: 'image/webp',\n pdf: 'application/pdf',\n csv: 'text/csv',\n doc: 'application/msword',\n docx: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',\n xls: 'application/vnd.ms-excel',\n xlsx: 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',\n html: 'text/html',\n md: 'text/markdown',\n mp3: 'audio/mp3',\n wav: 'audio/wav',\n txt: 'text/plain',\n mov: 'video/mov',\n mpeg: 'video/mpeg',\n mpg: 'video/mpg',\n avi: 'video/avi',\n wmv: 'video/wmv',\n mpegps: 'video/mpegps',\n flv: 'video/flv',\n webm: 'video/webm',\n mkv: 'video/mkv',\n threegpp: 'video/three_gpp',\n};\n\nexport const imagesMimeTypes = [\n fileExtensionMimeTypeMap.jpeg,\n fileExtensionMimeTypeMap.jpg,\n fileExtensionMimeTypeMap.png,\n fileExtensionMimeTypeMap.bmp,\n fileExtensionMimeTypeMap.tiff,\n fileExtensionMimeTypeMap.webp,\n];\n\nexport const documentMimeTypes = [\n fileExtensionMimeTypeMap.pdf,\n fileExtensionMimeTypeMap.csv,\n fileExtensionMimeTypeMap.doc,\n fileExtensionMimeTypeMap.docx,\n fileExtensionMimeTypeMap.xls,\n fileExtensionMimeTypeMap.xlsx,\n fileExtensionMimeTypeMap.html,\n fileExtensionMimeTypeMap.md,\n fileExtensionMimeTypeMap.txt,\n];\n\nexport const videoMimeTypes = [\n fileExtensionMimeTypeMap.mkv,\n fileExtensionMimeTypeMap.mov,\n fileExtensionMimeTypeMap.mp4,\n fileExtensionMimeTypeMap.webm,\n fileExtensionMimeTypeMap.flv,\n fileExtensionMimeTypeMap.mpeg,\n fileExtensionMimeTypeMap.mpg,\n fileExtensionMimeTypeMap.wmv,\n fileExtensionMimeTypeMap.threegpp,\n fileExtensionMimeTypeMap.avi,\n];\n\nexport enum BatchEndpoints {\n CHAT_COMPLETIONS = '/v1/chat/completions',\n COMPLETIONS = '/v1/completions',\n EMBEDDINGS = '/v1/embeddings',\n}\n\nexport const AtomicOperations = {\n GET: 'GET',\n RESET: 'RESET',\n INCREMENT: 'INCREMENT',\n DECREMENT: 'DECREMENT',\n};\n\nexport enum RateLimiterKeyTypes {\n VIRTUAL_KEY = 'VIRTUAL_KEY',\n API_KEY = 'API_KEY',\n WORKSPACE = 'WORKSPACE',\n INTEGRATION_WORKSPACE = 'INTEGRATION_WORKSPACE',\n}\n\nexport const METRICS_KEYS = {\n AUTH_N_MIDDLEWARE_START: 'authNMiddlewareStart',\n AUTH_N_MIDDLEWARE_END: 'authNMiddlewareEnd',\n API_KEY_RATE_LIMIT_CHECK_START: 'apiKeyRateLimitCheckStart',\n API_KEY_RATE_LIMIT_CHECK_END: 'apiKeyRateLimitCheckEnd',\n PORTKEY_MIDDLEWARE_PRE_REQUEST_START: 'portkeyMiddlewarePreRequestStart',\n PORTKEY_MIDDLEWARE_PRE_REQUEST_END: 'portkeyMiddlewarePreRequestEnd',\n PORTKEY_MIDDLEWARE_POST_REQUEST_START: 'portkeyMiddlewarePostRequestStart',\n PORTKEY_MIDDLEWARE_POST_REQUEST_END: 'portkeyMiddlewarePostRequestEnd',\n LLM_CACHE_GET_START: 'llmCacheGetStart',\n LLM_CACHE_GET_END: 'llmCacheGetEnd',\n};\n"
},
{
"path": "src/handlers/batchesHandler.ts",
"content": "import { Context } from 'hono';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { endpointStrings } from '../providers/types';\n\nfunction batchesHandler(endpoint: endpointStrings, method: 'POST' | 'GET') {\n async function handler(c: Context): Promise {\n try {\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n let request = endpoint === 'createBatch' ? await c.req.json() : {};\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n endpoint,\n method,\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('batchesHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n }\n return handler;\n}\n\nexport default batchesHandler;\n"
},
{
"path": "src/handlers/chatCompletionsHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/chat/completions' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function chatCompletionsHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'chatComplete',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error(\n `chatCompletionsHandler error: ${err.message} \\n\\n stackTrace: ${err.stack}`\n );\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: errorMessage,\n }),\n {\n status: statusCode,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/completionsHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/completions' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function completionsHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig,\n request,\n requestHeaders,\n 'complete',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('completionsHandler error: ', err);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/createSpeechHandler.ts",
"content": "import {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/audio/speech' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function createSpeechHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'createSpeech',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('createSpeechHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/createTranscriptionHandler.ts",
"content": "import {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/audio/transcriptions' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function createTranscriptionHandler(\n c: Context\n): Promise {\n try {\n let request = await c.req.raw.formData();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'createTranscription',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('createTranscriptionHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/createTranslationHandler.ts",
"content": "import {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/audio/translations' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function createTranslationHandler(c: Context): Promise {\n try {\n let request = await c.req.raw.formData();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'createTranslation',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('createTranslationHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/embeddingsHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/embeddings' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function embeddingsHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig,\n request,\n requestHeaders,\n 'embed',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('embeddingsHandler error: ', err);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/filesHandler.ts",
"content": "import { Context } from 'hono';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { endpointStrings } from '../providers/types';\n\nfunction filesHandler(\n endpoint: endpointStrings,\n method: 'POST' | 'GET' | 'DELETE'\n) {\n async function handler(c: Context): Promise {\n try {\n const requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n let body = {};\n if (c.req.raw.body instanceof ReadableStream) {\n body = c.req.raw.body;\n }\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n body,\n requestHeaders,\n endpoint,\n method,\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('filesHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n }\n return handler;\n}\n\nexport default filesHandler;\n"
},
{
"path": "src/handlers/finetuneHandler.ts",
"content": "import { Context } from 'hono';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\n\nconst getEndpointString = (c: Context) => {\n const jobId = c.req.param('jobId');\n const method = c.req.method;\n const isCancel = method === 'POST' && !!jobId;\n\n // GET endpoint with jobID - Get finetune\n if (method === 'GET' && !!jobId) {\n return 'retrieveFinetune';\n }\n if (method === 'GET' && !jobId) {\n return 'listFinetunes';\n }\n // POST endpoint without jobID - Create finetune\n if (method === 'POST' && !jobId) {\n return 'createFinetune';\n }\n // POST endpoint with jobID - Cancel finetune\n if (isCancel) {\n return 'cancelFinetune';\n }\n return 'listFinetunes';\n};\n\nconst BODY_SUPPORTED_ENDPOINTS = ['createFinetune'];\n\nasync function finetuneHandler(c: Context) {\n const endpoint = getEndpointString(c);\n try {\n const method = c.req.method;\n const requestHeaders = Object.fromEntries(c.req.raw.headers);\n const request = BODY_SUPPORTED_ENDPOINTS.includes(endpoint)\n ? await c.req.json()\n : {};\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n endpoint,\n method,\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('finetuneHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n\nexport default finetuneHandler;\n"
},
{
"path": "src/handlers/handlerUtils.ts",
"content": "import { Context } from 'hono';\nimport {\n AZURE_OPEN_AI,\n BEDROCK,\n WORKERS_AI,\n HEADER_KEYS,\n POWERED_BY,\n GOOGLE_VERTEX_AI,\n OPEN_AI,\n AZURE_AI_INFERENCE,\n ANTHROPIC,\n CONTENT_TYPES,\n HUGGING_FACE,\n STABILITY_AI,\n SAGEMAKER,\n FIREWORKS_AI,\n CORTEX,\n ORACLE,\n} from '../globals';\nimport { endpointStrings } from '../providers/types';\nimport { Options, Params, StrategyModes, Targets } from '../types/requestBody';\nimport { convertKeysToCamelCase } from '../utils';\nimport { retryRequest } from './retryHandler';\nimport { env } from 'hono/adapter';\nimport { afterRequestHookHandler, responseHandler } from './responseHandlers';\nimport { HookSpan } from '../middlewares/hooks';\nimport { ConditionalRouter } from '../services/conditionalRouter';\nimport { RouterError } from '../errors/RouterError';\nimport { GatewayError } from '../errors/GatewayError';\nimport { HookType } from '../middlewares/hooks/types';\n\n// Services\nimport { CacheResponseObject, CacheService } from './services/cacheService';\nimport { HooksService } from './services/hooksService';\nimport { LogObjectBuilder, LogsService } from './services/logsService';\nimport { PreRequestValidatorService } from './services/preRequestValidatorService';\nimport { ProviderContext } from './services/providerContext';\nimport { RequestContext } from './services/requestContext';\nimport { ResponseService } from './services/responseService';\n\nfunction constructRequestBody(\n requestContext: RequestContext,\n providerHeaders: Record\n): BodyInit | null {\n const headerContentType = providerHeaders[HEADER_KEYS.CONTENT_TYPE];\n const requestContentType = requestContext.getHeader(HEADER_KEYS.CONTENT_TYPE);\n\n let body: BodyInit | null = null;\n\n const isMultiPartRequest =\n headerContentType === CONTENT_TYPES.MULTIPART_FORM_DATA ||\n (requestContext.endpoint == 'proxy' &&\n requestContentType === CONTENT_TYPES.MULTIPART_FORM_DATA);\n\n const isProxyAudio =\n requestContext.endpoint == 'proxy' &&\n requestContentType?.startsWith(CONTENT_TYPES.GENERIC_AUDIO_PATTERN);\n\n const reqBody = requestContext.transformedRequestBody;\n\n if (isMultiPartRequest) {\n body = reqBody as FormData;\n } else if (requestContext.requestBody instanceof ReadableStream) {\n body = requestContext.requestBody;\n } else if (isProxyAudio) {\n body = reqBody as ArrayBuffer;\n } else if (requestContentType) {\n body = JSON.stringify(reqBody);\n }\n\n if (['GET', 'DELETE'].includes(requestContext.method)) {\n body = null;\n }\n\n return body;\n}\n\nfunction constructRequestHeaders(\n requestContext: RequestContext,\n providerConfigMappedHeaders: any\n): Record {\n const {\n method,\n forwardHeaders,\n requestHeaders,\n endpoint: fn,\n honoContext: c,\n } = requestContext;\n\n const proxyHeaders: Record = {};\n // Handle proxy headers\n if (fn === 'proxy') {\n const poweredByHeadersPattern = `x-${POWERED_BY}-`;\n const headersToAvoidForCloudflare = ['expect'];\n const headersToIgnore = [\n ...(env(c).CUSTOM_HEADERS_TO_IGNORE ?? []),\n ...headersToAvoidForCloudflare,\n ];\n headersToIgnore.push('content-length');\n Object.keys(requestHeaders).forEach((key: string) => {\n if (\n !headersToIgnore.includes(key) &&\n !key.startsWith(poweredByHeadersPattern)\n ) {\n proxyHeaders[key] = requestHeaders[key];\n }\n });\n // Remove brotli from accept-encoding because cloudflare has problems with it\n // if (proxyHeaders['accept-encoding']?.includes('br'))\n // proxyHeaders['accept-encoding'] = proxyHeaders[\n // 'accept-encoding'\n // ]?.replace('br', '');\n }\n const baseHeaders: any = {\n 'content-type': 'application/json',\n };\n\n let headers: Record = {};\n\n Object.keys(providerConfigMappedHeaders).forEach((h: string) => {\n headers[h.toLowerCase()] = providerConfigMappedHeaders[h];\n });\n\n const forwardHeadersMap: Record = {};\n\n forwardHeaders.forEach((h: string) => {\n const lowerCaseHeaderKey = h.toLowerCase();\n if (requestHeaders[lowerCaseHeaderKey])\n forwardHeadersMap[lowerCaseHeaderKey] =\n requestHeaders[lowerCaseHeaderKey];\n });\n\n // Add any headers that the model might need\n headers = {\n ...baseHeaders,\n ...headers,\n ...forwardHeadersMap,\n ...(fn === 'proxy' && proxyHeaders),\n };\n\n const contentType = headers['content-type']?.split(';')[0];\n const isGetMethod = method === 'GET';\n const isMultipartFormData = contentType === CONTENT_TYPES.MULTIPART_FORM_DATA;\n const shouldDeleteContentTypeHeader =\n (isGetMethod || isMultipartFormData) && headers;\n\n if (shouldDeleteContentTypeHeader) {\n delete headers['content-type'];\n if (fn === 'uploadFile') {\n headers['Content-Type'] = requestHeaders['content-type'];\n if (requestHeaders[`x-${POWERED_BY}-file-purpose`]) {\n headers[`x-${POWERED_BY}-file-purpose`] =\n requestHeaders[`x-${POWERED_BY}-file-purpose`];\n }\n }\n }\n\n return headers;\n}\n\n/**\n * Constructs the request options for the API call.\n *\n * @param {any} headers - The headers to add in the request.\n * @param {string} provider - The provider for the request.\n * @param {string} method - The HTTP method for the request.\n * @returns {RequestInit} - The fetch options for the request.\n */\nexport async function constructRequest(\n providerContext: ProviderContext,\n requestContext: RequestContext\n): Promise {\n const providerMappedHeaders =\n await providerContext.getHeaders(requestContext);\n\n const headers = constructRequestHeaders(\n requestContext,\n providerMappedHeaders\n );\n\n const fetchOptions: RequestInit = {\n method: requestContext.method,\n headers,\n ...(requestContext.endpoint === 'uploadFile' && { duplex: 'half' }),\n };\n\n const body = constructRequestBody(requestContext, providerMappedHeaders);\n if (body) {\n fetchOptions.body = body;\n }\n\n return fetchOptions;\n}\n\n/**\n * Selects a provider based on their assigned weights.\n * The weight is used to determine the probability of each provider being chosen.\n * If all providers have a weight of 0, an error will be thrown.\n *\n * @param {Options[]} providers - The available providers.\n * @returns {Options} - The selected provider.\n * @throws Will throw an error if no provider is selected, or if all weights are 0.\n */\nexport function selectProviderByWeight(providers: Options[]): Options {\n // Assign a default weight of 1 to providers with undefined weight\n providers = providers.map((provider) => ({\n ...provider,\n weight: provider.weight ?? 1,\n }));\n\n // Compute the total weight\n const totalWeight = providers.reduce(\n (sum: number, provider: any) => sum + provider.weight,\n 0\n );\n\n // Select a random weight between 0 and totalWeight\n let randomWeight = Math.random() * totalWeight;\n\n // Find the provider that corresponds to the selected weight\n for (const [index, provider] of providers.entries()) {\n // @ts-ignore since weight is being default set above\n if (randomWeight < provider.weight) {\n return { ...provider, index };\n }\n // @ts-ignore since weight is being default set above\n randomWeight -= provider.weight;\n }\n\n throw new Error('No provider selected, please check the weights');\n}\n\nexport function convertHooksShorthand(\n hooksArr: any,\n type: string,\n hookType: HookType\n) {\n return hooksArr.map((hook: any) => {\n let hooksObject: any = {\n type: hookType,\n id: `${type}_guardrail_${Math.random().toString(36).substring(2, 5)}`,\n };\n\n // if the deny key is present (true or false), add it to hooksObject and remove it from guardrails\n [\n 'deny',\n 'on_fail',\n 'on_success',\n 'async',\n 'id',\n 'type',\n 'guardrail_version_id',\n 'sequential',\n ].forEach((key) => {\n if (hook.hasOwnProperty(key)) {\n hooksObject[key] = hook[key];\n delete hook[key];\n }\n });\n\n hooksObject = convertKeysToCamelCase(hooksObject);\n\n // Now, add all the checks to the checks array\n hooksObject.checks = Object.keys(hook).map((key) => {\n const id = hook[key].id ?? key;\n return {\n id: id.includes('.') ? id : `default.${id}`,\n parameters: hook[key],\n is_enabled: hook[key].is_enabled,\n };\n });\n\n return hooksObject;\n });\n}\n\n/**\n * Makes a POST request to a provider and returns the response.\n * The POST request is constructed using the provider, apiKey, and requestBody parameters.\n * The fn parameter is the type of request being made (e.g., \"complete\", \"chatComplete\").\n *\n * @param {Options} providerOption - The provider options. This object follows the Options interface and may contain a RetrySettings object for retry configuration.\n * @param {RequestBody} requestBody - The request body.\n * @param {string} fn - The function for the request.\n * @returns {Promise} - The response from the POST request.\n * @throws Will throw an error if the response is not ok or if all retry attempts fail.\n */\nexport async function tryPost(\n c: Context,\n providerOption: Options,\n requestBody: Params | FormData | ArrayBuffer | ReadableStream,\n requestHeaders: Record,\n fn: endpointStrings,\n currentIndex: number | string,\n method: string = 'POST'\n): Promise {\n const requestContext = new RequestContext(\n c,\n providerOption,\n fn,\n requestHeaders,\n requestBody,\n method,\n currentIndex as number\n );\n const hooksService = new HooksService(requestContext);\n const providerContext = new ProviderContext(requestContext.provider);\n const logsService = new LogsService(c);\n const responseService = new ResponseService(requestContext, hooksService);\n const hookSpan: HookSpan = hooksService.hookSpan;\n\n // Set the requestURL in requestContext\n requestContext.requestURL = await providerContext.getFullURL(requestContext);\n\n // Create the base log object from requestContext\n const logObject = new LogObjectBuilder(logsService, requestContext);\n logObject.addHookSpanId(hookSpan.id);\n\n // before_request_hooks handler\n const {\n response: brhResponse,\n createdAt: brhCreatedAt,\n transformedBody,\n } = await beforeRequestHookHandler(c, hookSpan.id);\n if (brhResponse) {\n // transformedRequestBody is required to be set in requestOptions.\n // So in case the before request hooks fail (with deny as true), we need to set it here.\n // If the hooks do not result in a 446 response, transformedRequestBody is determined on the updated HookSpan context.\n if (!providerContext.hasRequestHandler(requestContext)) {\n requestContext.transformToProviderRequestAndSave();\n }\n\n const { response, originalResponseJson } = await responseService.create({\n response: brhResponse,\n responseTransformer: undefined,\n isResponseAlreadyMapped: false,\n cache: {\n isCacheHit: false,\n cacheStatus: undefined,\n cacheKey: undefined,\n },\n retryAttempt: 0,\n createdAt: brhCreatedAt,\n });\n\n logObject\n .updateRequestContext(requestContext)\n .addResponse(response, originalResponseJson)\n .addCache()\n .log();\n\n return response;\n }\n\n // If before request hook transformed the body, update the request context\n if (transformedBody) {\n requestContext.params = hookSpan.getContext().request.json;\n }\n\n // Attach the body of the request\n if (!providerContext.hasRequestHandler(requestContext)) {\n requestContext.transformToProviderRequestAndSave();\n }\n\n // Construct the base object for the request\n const fetchOptions: RequestInit = await constructRequest(\n providerContext,\n requestContext\n );\n\n // Cache Handler\n const cacheService = new CacheService(c, hooksService);\n const cacheResponseObject: CacheResponseObject =\n await cacheService.getCachedResponse(\n requestContext,\n fetchOptions.headers || {}\n );\n logObject.addCache(\n cacheResponseObject.cacheStatus,\n cacheResponseObject.cacheKey\n );\n if (cacheResponseObject.cacheResponse) {\n const { response, originalResponseJson } = await responseService.create({\n response: cacheResponseObject.cacheResponse,\n responseTransformer: requestContext.endpoint,\n cache: {\n isCacheHit: true,\n cacheStatus: cacheResponseObject.cacheStatus,\n cacheKey: cacheResponseObject.cacheKey,\n },\n isResponseAlreadyMapped: false,\n retryAttempt: 0,\n fetchOptions,\n createdAt: cacheResponseObject.createdAt,\n executionTime: 0,\n });\n\n logObject\n .updateRequestContext(requestContext, fetchOptions.headers)\n .addResponse(response, originalResponseJson)\n .log();\n\n return response;\n }\n\n // Prerequest validator (For virtual key budgets)\n const preRequestValidatorService = new PreRequestValidatorService(\n c,\n requestContext\n );\n const { response: preRequestValidatorResponse, modelPricingConfig } =\n await preRequestValidatorService.getResponse();\n\n if (modelPricingConfig) {\n requestContext.updateModelPricingConfig(modelPricingConfig);\n }\n if (preRequestValidatorResponse) {\n const { response, originalResponseJson } = await responseService.create({\n response: preRequestValidatorResponse,\n responseTransformer: undefined,\n isResponseAlreadyMapped: false,\n cache: {\n isCacheHit: false,\n cacheStatus: cacheResponseObject.cacheStatus,\n cacheKey: cacheResponseObject.cacheKey,\n },\n retryAttempt: 0,\n fetchOptions,\n createdAt: new Date(),\n });\n\n logObject\n .updateRequestContext(requestContext, fetchOptions.headers)\n .addResponse(response, originalResponseJson)\n .log();\n\n return response;\n }\n\n // Request Handler (Including retries, recursion and hooks)\n const { mappedResponse, retryCount, createdAt, originalResponseJson } =\n await recursiveAfterRequestHookHandler(\n requestContext,\n fetchOptions,\n 0,\n hookSpan.id,\n providerContext,\n hooksService,\n logObject\n );\n\n const { response, originalResponseJson: mappedOriginalResponseJson } =\n await responseService.create({\n response: mappedResponse,\n responseTransformer: undefined,\n isResponseAlreadyMapped: true,\n cache: {\n isCacheHit: false,\n cacheStatus: cacheResponseObject.cacheStatus,\n cacheKey: cacheResponseObject.cacheKey,\n },\n retryAttempt: retryCount,\n fetchOptions,\n createdAt,\n originalResponseJson,\n });\n\n logObject\n .updateRequestContext(requestContext, fetchOptions.headers)\n .addResponse(response, mappedOriginalResponseJson)\n .log();\n\n return response;\n}\n\nexport async function tryTargetsRecursively(\n c: Context,\n targetGroup: Targets,\n request: Params | FormData | ReadableStream,\n requestHeaders: Record,\n fn: endpointStrings,\n method: string,\n jsonPath: string,\n inheritedConfig: Record = {}\n): Promise {\n const currentTarget: any = { ...targetGroup };\n let currentJsonPath = jsonPath;\n const strategyMode = currentTarget.strategy?.mode;\n\n // start: merge inherited config with current target config (preference given to current)\n const currentInheritedConfig: Record = {\n id: inheritedConfig.id || currentTarget.id,\n overrideParams: {\n ...inheritedConfig.overrideParams,\n ...currentTarget.overrideParams,\n },\n retry: currentTarget.retry\n ? { ...currentTarget.retry }\n : { ...inheritedConfig.retry },\n cache: currentTarget.cache\n ? { ...currentTarget.cache }\n : { ...inheritedConfig.cache },\n requestTimeout: null,\n defaultInputGuardrails: inheritedConfig.defaultInputGuardrails,\n defaultOutputGuardrails: inheritedConfig.defaultOutputGuardrails,\n };\n\n // Inherited config can be empty only for the base case of recursive call.\n // To avoid redundant conversion of guardrails to hooks, we do this check.\n if (Object.keys(inheritedConfig).length === 0) {\n if (currentTarget.defaultInputGuardrails) {\n currentInheritedConfig.defaultInputGuardrails = [\n ...convertHooksShorthand(\n currentTarget.defaultInputGuardrails,\n 'input',\n HookType.GUARDRAIL\n ),\n ];\n }\n if (currentTarget.defaultOutputGuardrails) {\n currentInheritedConfig.defaultOutputGuardrails = [\n ...convertHooksShorthand(\n currentTarget.defaultOutputGuardrails,\n 'output',\n HookType.GUARDRAIL\n ),\n ];\n }\n }\n\n if (typeof currentTarget.strictOpenAiCompliance === 'boolean') {\n currentInheritedConfig.strictOpenAiCompliance =\n currentTarget.strictOpenAiCompliance;\n } else if (typeof inheritedConfig.strictOpenAiCompliance === 'boolean') {\n currentInheritedConfig.strictOpenAiCompliance =\n inheritedConfig.strictOpenAiCompliance;\n }\n\n if (currentTarget.forwardHeaders) {\n currentInheritedConfig.forwardHeaders = [...currentTarget.forwardHeaders];\n } else if (inheritedConfig.forwardHeaders) {\n currentInheritedConfig.forwardHeaders = [...inheritedConfig.forwardHeaders];\n currentTarget.forwardHeaders = [...inheritedConfig.forwardHeaders];\n }\n\n if (currentTarget.customHost) {\n currentInheritedConfig.customHost = currentTarget.customHost;\n } else if (inheritedConfig.customHost) {\n currentInheritedConfig.customHost = inheritedConfig.customHost;\n currentTarget.customHost = inheritedConfig.customHost;\n }\n\n if (currentTarget.requestTimeout) {\n currentInheritedConfig.requestTimeout = currentTarget.requestTimeout;\n } else if (inheritedConfig.requestTimeout) {\n currentInheritedConfig.requestTimeout = inheritedConfig.requestTimeout;\n currentTarget.requestTimeout = inheritedConfig.requestTimeout;\n }\n\n if (currentTarget.inputGuardrails) {\n currentTarget.beforeRequestHooks = [\n ...(currentTarget.beforeRequestHooks || []),\n ...convertHooksShorthand(\n currentTarget.inputGuardrails,\n 'input',\n HookType.GUARDRAIL\n ),\n ];\n }\n\n if (currentTarget.outputGuardrails) {\n currentTarget.afterRequestHooks = [\n ...(currentTarget.afterRequestHooks || []),\n ...convertHooksShorthand(\n currentTarget.outputGuardrails,\n 'output',\n HookType.GUARDRAIL\n ),\n ];\n }\n\n if (currentTarget.inputMutators) {\n currentTarget.beforeRequestHooks = [\n ...(currentTarget.beforeRequestHooks || []),\n ...convertHooksShorthand(\n currentTarget.inputMutators,\n 'input',\n HookType.MUTATOR\n ),\n ];\n }\n\n if (currentTarget.outputMutators) {\n currentTarget.afterRequestHooks = [\n ...(currentTarget.afterRequestHooks || []),\n ...convertHooksShorthand(\n currentTarget.outputMutators,\n 'output',\n HookType.MUTATOR\n ),\n ];\n }\n\n if (currentTarget.afterRequestHooks) {\n currentInheritedConfig.afterRequestHooks = [\n ...currentTarget.afterRequestHooks,\n ];\n } else if (inheritedConfig.afterRequestHooks) {\n currentInheritedConfig.afterRequestHooks = [\n ...inheritedConfig.afterRequestHooks,\n ];\n currentTarget.afterRequestHooks = [...inheritedConfig.afterRequestHooks];\n }\n\n if (currentTarget.beforeRequestHooks) {\n currentInheritedConfig.beforeRequestHooks = [\n ...currentTarget.beforeRequestHooks,\n ];\n } else if (inheritedConfig.beforeRequestHooks) {\n currentInheritedConfig.beforeRequestHooks = [\n ...inheritedConfig.beforeRequestHooks,\n ];\n currentTarget.beforeRequestHooks = [...inheritedConfig.beforeRequestHooks];\n }\n\n currentTarget.overrideParams = {\n ...currentInheritedConfig.overrideParams,\n };\n\n currentTarget.retry = {\n ...currentInheritedConfig.retry,\n };\n\n currentTarget.cache = {\n ...currentInheritedConfig.cache,\n };\n\n currentTarget.defaultInputGuardrails = [\n ...currentInheritedConfig.defaultInputGuardrails,\n ];\n currentTarget.defaultOutputGuardrails = [\n ...currentInheritedConfig.defaultOutputGuardrails,\n ];\n // end: merge inherited config with current target config (preference given to current)\n\n const isHandlingCircuitBreaker = currentInheritedConfig.id;\n if (isHandlingCircuitBreaker) {\n const healthyTargets = (currentTarget.targets || [])\n .map((t: any, index: number) => ({\n ...t,\n originalIndex: index,\n }))\n .filter((t: any) => !t.isOpen);\n\n if (healthyTargets.length) {\n currentTarget.targets = healthyTargets;\n }\n }\n\n let response;\n\n switch (strategyMode) {\n case StrategyModes.FALLBACK:\n for (const [index, target] of currentTarget.targets.entries()) {\n const originalIndex = target.originalIndex || index;\n response = await tryTargetsRecursively(\n c,\n target,\n request,\n requestHeaders,\n fn,\n method,\n `${currentJsonPath}.targets[${originalIndex}]`,\n currentInheritedConfig\n );\n const codes = currentTarget.strategy?.onStatusCodes;\n const gatewayException =\n response?.headers.get('x-portkey-gateway-exception') === 'true';\n if (\n // If onStatusCodes is provided, and the response status is not in the list\n (Array.isArray(codes) && !codes.includes(response?.status)) ||\n // If onStatusCodes is not provided, and the response is ok\n (!codes && response?.ok) ||\n // If the response is a gateway exception\n gatewayException\n ) {\n // Skip the fallback\n break;\n }\n }\n break;\n\n case StrategyModes.LOADBALANCE:\n currentTarget.targets.forEach((t: Options) => {\n if (t.weight === undefined) {\n t.weight = 1;\n }\n });\n let totalWeight = currentTarget.targets.reduce(\n (sum: number, provider: any) => sum + provider.weight,\n 0\n );\n\n let randomWeight = Math.random() * totalWeight;\n for (const [index, provider] of currentTarget.targets.entries()) {\n const originalIndex = provider.originalIndex || index;\n if (randomWeight < provider.weight) {\n currentJsonPath = currentJsonPath + `.targets[${originalIndex}]`;\n response = await tryTargetsRecursively(\n c,\n provider,\n request,\n requestHeaders,\n fn,\n method,\n currentJsonPath,\n currentInheritedConfig\n );\n break;\n }\n randomWeight -= provider.weight;\n }\n break;\n\n case StrategyModes.CONDITIONAL: {\n let metadata: Record;\n try {\n metadata = JSON.parse(requestHeaders[HEADER_KEYS.METADATA]);\n } catch (err) {\n metadata = {};\n }\n\n let params =\n request instanceof FormData ||\n request instanceof ReadableStream ||\n request instanceof ArrayBuffer\n ? {} // Send empty object if not JSON\n : request;\n\n let conditionalRouter: ConditionalRouter;\n let finalTarget: Targets;\n try {\n conditionalRouter = new ConditionalRouter(currentTarget, {\n metadata,\n params,\n url: { pathname: c.req.path },\n });\n finalTarget = conditionalRouter.resolveTarget();\n } catch (conditionalRouter: any) {\n throw new RouterError(conditionalRouter.message);\n }\n\n const originalIndex = finalTarget.originalIndex || finalTarget.index;\n response = await tryTargetsRecursively(\n c,\n finalTarget,\n request,\n requestHeaders,\n fn,\n method,\n `${currentJsonPath}.targets[${originalIndex}]`,\n currentInheritedConfig\n );\n break;\n }\n\n case StrategyModes.SINGLE:\n const originalIndex = currentTarget.targets[0].originalIndex || 0;\n response = await tryTargetsRecursively(\n c,\n currentTarget.targets[0],\n request,\n requestHeaders,\n fn,\n method,\n `${currentJsonPath}.targets[${originalIndex}]`,\n currentInheritedConfig\n );\n break;\n\n default:\n try {\n response = await tryPost(\n c,\n currentTarget,\n request,\n requestHeaders,\n fn,\n currentJsonPath,\n method\n );\n if (isHandlingCircuitBreaker) {\n await c.get('handleCircuitBreakerResponse')?.(\n response,\n currentInheritedConfig.id,\n currentTarget.cbConfig,\n currentJsonPath,\n c\n );\n }\n } catch (error: any) {\n // tryPost always returns a Response.\n // TypeError will check for all unhandled exceptions.\n // GatewayError will check for all handled exceptions which cannot allow the request to proceed.\n console.error(\n 'tryTargetsRecursively error: ',\n error.message,\n error.cause,\n error.stack\n );\n const errorMessage =\n error instanceof GatewayError\n ? error.message\n : 'Something went wrong';\n response = new Response(\n JSON.stringify({\n status: 'failure',\n message: errorMessage,\n }),\n {\n status: error instanceof GatewayError ? error.status : 500,\n headers: {\n 'content-type': 'application/json',\n // Add this header so that the fallback loop can be interrupted if its an exception.\n 'x-portkey-gateway-exception': 'true',\n },\n }\n );\n }\n break;\n }\n\n return response!;\n}\n\nexport function constructConfigFromRequestHeaders(\n requestHeaders: Record\n): Options | Targets {\n const azureConfig = {\n resourceName: requestHeaders[`x-${POWERED_BY}-azure-resource-name`],\n deploymentId: requestHeaders[`x-${POWERED_BY}-azure-deployment-id`],\n apiVersion: requestHeaders[`x-${POWERED_BY}-azure-api-version`],\n azureAdToken: requestHeaders[`x-${POWERED_BY}-azure-ad-token`],\n azureAuthMode: requestHeaders[`x-${POWERED_BY}-azure-auth-mode`],\n azureManagedClientId:\n requestHeaders[`x-${POWERED_BY}-azure-managed-client-id`],\n azureWorkloadClientId:\n requestHeaders[`x-${POWERED_BY}-azure-workload-client-id`],\n azureEntraClientId: requestHeaders[`x-${POWERED_BY}-azure-entra-client-id`],\n azureEntraClientSecret:\n requestHeaders[`x-${POWERED_BY}-azure-entra-client-secret`],\n azureEntraTenantId: requestHeaders[`x-${POWERED_BY}-azure-entra-tenant-id`],\n azureModelName: requestHeaders[`x-${POWERED_BY}-azure-model-name`],\n openaiBeta:\n requestHeaders[`x-${POWERED_BY}-openai-beta`] ||\n requestHeaders[`openai-beta`],\n azureEntraScope: requestHeaders[`x-${POWERED_BY}-azure-entra-scope`],\n };\n\n const stabilityAiConfig = {\n stabilityClientId: requestHeaders[`x-${POWERED_BY}-stability-client-id`],\n stabilityClientUserId:\n requestHeaders[`x-${POWERED_BY}-stability-client-user-id`],\n stabilityClientVersion:\n requestHeaders[`x-${POWERED_BY}-stability-client-version`],\n };\n\n const azureAiInferenceConfig = {\n azureApiVersion: requestHeaders[`x-${POWERED_BY}-azure-api-version`],\n azureEndpointName: requestHeaders[`x-${POWERED_BY}-azure-endpoint-name`],\n azureFoundryUrl: requestHeaders[`x-${POWERED_BY}-azure-foundry-url`],\n azureAdToken: requestHeaders[`x-${POWERED_BY}-azure-ad-token`],\n azureAuthMode: requestHeaders[`x-${POWERED_BY}-azure-auth-mode`],\n azureManagedClientId:\n requestHeaders[`x-${POWERED_BY}-azure-managed-client-id`],\n azureEntraClientId: requestHeaders[`x-${POWERED_BY}-azure-entra-client-id`],\n azureEntraClientSecret:\n requestHeaders[`x-${POWERED_BY}-azure-entra-client-secret`],\n azureEntraTenantId: requestHeaders[`x-${POWERED_BY}-azure-entra-tenant-id`],\n azureEntraScope: requestHeaders[`x-${POWERED_BY}-azure-entra-scope`],\n azureExtraParameters: requestHeaders[`x-${POWERED_BY}-azure-extra-params`],\n anthropicVersion: requestHeaders[`x-${POWERED_BY}-anthropic-version`],\n };\n\n const awsConfig = {\n awsAccessKeyId: requestHeaders[`x-${POWERED_BY}-aws-access-key-id`],\n awsSecretAccessKey: requestHeaders[`x-${POWERED_BY}-aws-secret-access-key`],\n awsSessionToken: requestHeaders[`x-${POWERED_BY}-aws-session-token`],\n awsRegion: requestHeaders[`x-${POWERED_BY}-aws-region`],\n awsRoleArn: requestHeaders[`x-${POWERED_BY}-aws-role-arn`],\n awsAuthType: requestHeaders[`x-${POWERED_BY}-aws-auth-type`],\n awsExternalId: requestHeaders[`x-${POWERED_BY}-aws-external-id`],\n awsS3Bucket: requestHeaders[`x-${POWERED_BY}-aws-s3-bucket`],\n awsS3ObjectKey:\n requestHeaders[`x-${POWERED_BY}-aws-s3-object-key`] ||\n requestHeaders[`x-${POWERED_BY}-provider-file-name`],\n awsBedrockModel:\n requestHeaders[`x-${POWERED_BY}-aws-bedrock-model`] ||\n requestHeaders[`x-${POWERED_BY}-provider-model`],\n awsServerSideEncryption:\n requestHeaders[`x-${POWERED_BY}-amz-server-side-encryption`],\n awsServerSideEncryptionKMSKeyId:\n requestHeaders[\n `x-${POWERED_BY}-amz-server-side-encryption-aws-kms-key-id`\n ],\n anthropicBeta:\n requestHeaders[`x-${POWERED_BY}-anthropic-beta`] ||\n requestHeaders[`anthropic-beta`],\n anthropicVersion:\n requestHeaders[`x-${POWERED_BY}-anthropic-version`] ||\n requestHeaders[`anthropic-version`],\n };\n\n const sagemakerConfig = {\n amznSagemakerCustomAttributes:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-custom-attributes`],\n amznSagemakerTargetModel:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-target-model`],\n amznSagemakerTargetVariant:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-target-variant`],\n amznSagemakerTargetContainerHostname:\n requestHeaders[\n `x-${POWERED_BY}-amzn-sagemaker-target-container-hostname`\n ],\n amznSagemakerInferenceId:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-inference-id`],\n amznSagemakerEnableExplanations:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-enable-explanations`],\n amznSagemakerInferenceComponent:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-inference-component`],\n amznSagemakerSessionId:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-session-id`],\n amznSagemakerModelName:\n requestHeaders[`x-${POWERED_BY}-amzn-sagemaker-model-name`],\n };\n\n const workersAiConfig = {\n workersAiAccountId: requestHeaders[`x-${POWERED_BY}-workers-ai-account-id`],\n };\n\n const openAiConfig = {\n openaiOrganization: requestHeaders[`x-${POWERED_BY}-openai-organization`],\n openaiProject: requestHeaders[`x-${POWERED_BY}-openai-project`],\n openaiBeta:\n requestHeaders[`x-${POWERED_BY}-openai-beta`] ||\n requestHeaders[`openai-beta`],\n };\n\n const huggingfaceConfig = {\n huggingfaceBaseUrl: requestHeaders[`x-${POWERED_BY}-huggingface-base-url`],\n };\n\n const vertexConfig: Record = {\n vertexProjectId: requestHeaders[`x-${POWERED_BY}-vertex-project-id`],\n vertexRegion: requestHeaders[`x-${POWERED_BY}-vertex-region`],\n vertexStorageBucketName:\n requestHeaders[`x-${POWERED_BY}-vertex-storage-bucket-name`],\n filename: requestHeaders[`x-${POWERED_BY}-provider-file-name`],\n vertexModelName: requestHeaders[`x-${POWERED_BY}-provider-model`],\n vertexBatchEndpoint:\n requestHeaders[`x-${POWERED_BY}-provider-batch-endpoint`],\n anthropicBeta:\n requestHeaders[`x-${POWERED_BY}-anthropic-beta`] ||\n requestHeaders[`anthropic-beta`],\n anthropicVersion:\n requestHeaders[`x-${POWERED_BY}-anthropic-version`] ||\n requestHeaders[`anthropic-version`],\n };\n\n const fireworksConfig = {\n fireworksAccountId: requestHeaders[`x-${POWERED_BY}-fireworks-account-id`],\n fireworksFileLength: requestHeaders[`x-${POWERED_BY}-file-upload-size`],\n };\n\n // we also support the anthropic headers without the x-${POWERED_BY}- prefix for claude code support\n const anthropicConfig = {\n anthropicBeta:\n requestHeaders[`x-${POWERED_BY}-anthropic-beta`] ||\n requestHeaders[`anthropic-beta`],\n anthropicVersion:\n requestHeaders[`x-${POWERED_BY}-anthropic-version`] ||\n requestHeaders[`anthropic-version`],\n anthropicApiKey: requestHeaders[`x-api-key`],\n };\n\n const vertexServiceAccountJson =\n requestHeaders[`x-${POWERED_BY}-vertex-service-account-json`];\n\n if (vertexServiceAccountJson) {\n try {\n vertexConfig.vertexServiceAccountJson = JSON.parse(\n vertexServiceAccountJson\n );\n } catch (e) {\n vertexConfig.vertexServiceAccountJson = null;\n }\n }\n\n const cortexConfig = {\n snowflakeAccount: requestHeaders[`x-${POWERED_BY}-snowflake-account`],\n };\n\n const oracleConfig = {\n oracleApiVersion: requestHeaders[`x-${POWERED_BY}-oracle-api-version`],\n oracleRegion: requestHeaders[`x-${POWERED_BY}-oracle-region`],\n oracleCompartmentId:\n requestHeaders[`x-${POWERED_BY}-oracle-compartment-id`],\n oracleServingMode: requestHeaders[`x-${POWERED_BY}-oracle-serving-mode`],\n oracleTenancy: requestHeaders[`x-${POWERED_BY}-oracle-tenancy`],\n oracleUser: requestHeaders[`x-${POWERED_BY}-oracle-user`],\n oracleFingerprint: requestHeaders[`x-${POWERED_BY}-oracle-fingerprint`],\n oraclePrivateKey: requestHeaders[`x-${POWERED_BY}-oracle-private-key`],\n oracleKeyPassphrase:\n requestHeaders[`x-${POWERED_BY}-oracle-key-passphrase`],\n };\n\n const defaultsConfig = {\n input_guardrails: requestHeaders[`x-portkey-default-input-guardrails`]\n ? JSON.parse(requestHeaders[`x-portkey-default-input-guardrails`])\n : [],\n output_guardrails: requestHeaders[`x-portkey-default-output-guardrails`]\n ? JSON.parse(requestHeaders[`x-portkey-default-output-guardrails`])\n : [],\n };\n\n if (requestHeaders[`x-${POWERED_BY}-config`]) {\n let parsedConfigJson = JSON.parse(requestHeaders[`x-${POWERED_BY}-config`]);\n parsedConfigJson.default_input_guardrails = defaultsConfig.input_guardrails;\n parsedConfigJson.default_output_guardrails =\n defaultsConfig.output_guardrails;\n\n if (!parsedConfigJson.provider && !parsedConfigJson.targets) {\n parsedConfigJson.provider = requestHeaders[`x-${POWERED_BY}-provider`];\n parsedConfigJson.api_key = requestHeaders['authorization']?.replace(\n 'Bearer ',\n ''\n );\n\n if (parsedConfigJson.provider === AZURE_OPEN_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...azureConfig,\n };\n }\n\n if (\n parsedConfigJson.provider === BEDROCK ||\n parsedConfigJson.provider === SAGEMAKER\n ) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...awsConfig,\n };\n }\n\n if (parsedConfigJson.provider === SAGEMAKER) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...sagemakerConfig,\n };\n }\n\n if (parsedConfigJson.provider === WORKERS_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...workersAiConfig,\n };\n }\n\n if (parsedConfigJson.provider === OPEN_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...openAiConfig,\n };\n }\n\n if (parsedConfigJson.provider === HUGGING_FACE) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...huggingfaceConfig,\n };\n }\n\n if (parsedConfigJson.provider === GOOGLE_VERTEX_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...vertexConfig,\n };\n }\n\n if (parsedConfigJson.provider === FIREWORKS_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...fireworksConfig,\n };\n }\n\n if (parsedConfigJson.provider === AZURE_AI_INFERENCE) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...azureAiInferenceConfig,\n };\n }\n if (parsedConfigJson.provider === ANTHROPIC) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...anthropicConfig,\n };\n }\n if (parsedConfigJson.provider === STABILITY_AI) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...stabilityAiConfig,\n };\n }\n\n if (parsedConfigJson.provider === CORTEX) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...cortexConfig,\n };\n }\n if (parsedConfigJson.provider === ORACLE) {\n parsedConfigJson = {\n ...parsedConfigJson,\n ...oracleConfig,\n };\n }\n }\n return convertKeysToCamelCase(parsedConfigJson, [\n 'override_params',\n 'params',\n 'checks',\n 'vertex_service_account_json',\n 'vertexServiceAccountJson',\n 'conditions',\n 'input_guardrails',\n 'output_guardrails',\n 'default_input_guardrails',\n 'default_output_guardrails',\n 'integrationModelDetails',\n 'integrationDetails',\n 'virtualKeyDetails',\n 'cb_config',\n ]) as any;\n }\n\n return {\n provider: requestHeaders[`x-${POWERED_BY}-provider`],\n apiKey: requestHeaders['authorization']?.replace('Bearer ', ''),\n defaultInputGuardrails: defaultsConfig.input_guardrails,\n defaultOutputGuardrails: defaultsConfig.output_guardrails,\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === AZURE_OPEN_AI &&\n azureConfig),\n ...([BEDROCK, SAGEMAKER].includes(\n requestHeaders[`x-${POWERED_BY}-provider`]\n ) && awsConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === SAGEMAKER &&\n sagemakerConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === WORKERS_AI &&\n workersAiConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === GOOGLE_VERTEX_AI &&\n vertexConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === AZURE_AI_INFERENCE &&\n azureAiInferenceConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === OPEN_AI && openAiConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === ANTHROPIC &&\n anthropicConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === HUGGING_FACE &&\n huggingfaceConfig),\n mistralFimCompletion:\n requestHeaders[`x-${POWERED_BY}-mistral-fim-completion`],\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === STABILITY_AI &&\n stabilityAiConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === FIREWORKS_AI &&\n fireworksConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === CORTEX && cortexConfig),\n ...(requestHeaders[`x-${POWERED_BY}-provider`] === ORACLE && oracleConfig),\n };\n}\n\nexport async function recursiveAfterRequestHookHandler(\n requestContext: RequestContext,\n options: any,\n retryAttemptsMade: any,\n hookSpanId: string,\n providerContext: ProviderContext,\n hooksService: HooksService,\n logObject: LogObjectBuilder\n): Promise<{\n mappedResponse: Response;\n retryCount: number;\n createdAt: Date;\n originalResponseJson?: Record | null;\n}> {\n const {\n honoContext: c,\n providerOption,\n isStreaming: isStreamingMode,\n params: gatewayParams,\n endpoint: fn,\n strictOpenAiCompliance,\n requestTimeout,\n retryConfig: retry,\n } = requestContext;\n\n let response, retryCount, createdAt, retrySkipped;\n\n const requestHandler = providerContext.getRequestHandler(requestContext);\n const url = requestContext.requestURL;\n\n ({\n response,\n attempt: retryCount,\n createdAt,\n skip: retrySkipped,\n } = await retryRequest(\n url,\n options,\n retry.attempts,\n retry.onStatusCodes,\n requestTimeout,\n requestHandler,\n retry.useRetryAfterHeader\n ));\n\n // Check if sync hooks are available\n // This will be used to determine if we need to parse the response body or simply passthrough the response as is\n const areSyncHooksAvailable = hooksService.areSyncHooksAvailable;\n\n const {\n response: mappedResponse,\n responseJson: mappedResponseJson,\n originalResponseJson,\n } = await responseHandler(\n c,\n response,\n isStreamingMode,\n providerOption,\n fn,\n url,\n false,\n gatewayParams,\n strictOpenAiCompliance,\n c.req.url,\n areSyncHooksAvailable,\n hookSpanId\n );\n\n const arhResponse = await afterRequestHookHandler(\n c,\n mappedResponse,\n mappedResponseJson,\n hookSpanId,\n retryAttemptsMade\n );\n\n const remainingRetryCount =\n (retry?.attempts || 0) - (retryCount || 0) - retryAttemptsMade;\n\n const isRetriableStatusCode = retry?.onStatusCodes?.includes(\n arhResponse.status\n );\n\n if (remainingRetryCount > 0 && !retrySkipped && isRetriableStatusCode) {\n // Log the request here since we're about to retry\n logObject\n .updateRequestContext(requestContext, options.headers)\n .addResponse(arhResponse, originalResponseJson)\n .addExecutionTime(createdAt)\n .log();\n\n return recursiveAfterRequestHookHandler(\n requestContext,\n options,\n (retryCount ?? 0) + 1 + retryAttemptsMade,\n hookSpanId,\n providerContext,\n hooksService,\n logObject\n );\n }\n\n let lastAttempt = (retryCount || 0) + retryAttemptsMade;\n if (\n (lastAttempt === (retry?.attempts || 0) && isRetriableStatusCode) ||\n retrySkipped\n ) {\n lastAttempt = -1; // All retry attempts exhausted without success.\n }\n\n return {\n mappedResponse: arhResponse,\n retryCount: lastAttempt,\n createdAt,\n originalResponseJson,\n };\n}\n\nexport async function beforeRequestHookHandler(\n c: Context,\n hookSpanId: string\n): Promise {\n let span: HookSpan;\n let isTransformed = false;\n try {\n const start = new Date();\n const hooksManager = c.get('hooksManager');\n const hooksResult = await hooksManager.executeHooks(\n hookSpanId,\n ['syncBeforeRequestHook'],\n {\n env: env(c),\n getFromCacheByKey: c.get('getFromCacheByKey'),\n putInCacheWithValue: c.get('putInCacheWithValue'),\n }\n );\n span = hooksManager.getSpan(hookSpanId) as HookSpan;\n isTransformed = span.getContext().request.isTransformed;\n\n if (hooksResult.shouldDeny) {\n return {\n response: new Response(\n JSON.stringify({\n error: {\n message:\n 'The guardrail checks defined in the config failed. You can find more information in the `hook_results` object.',\n type: 'hooks_failed',\n param: null,\n code: null,\n },\n hook_results: {\n before_request_hooks: hooksResult.results,\n after_request_hooks: [],\n },\n }),\n {\n status: 446,\n headers: { 'content-type': 'application/json' },\n }\n ),\n createdAt: start,\n transformedBody: isTransformed ? span.getContext().request.json : null,\n };\n }\n } catch (err) {\n console.error('beforeRequestHookHandler error: ', err);\n return { error: err };\n }\n return {\n transformedBody: isTransformed ? span.getContext().request.json : null,\n };\n}\n"
},
{
"path": "src/handlers/imageEditsHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/images/edits' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function imageEditsHandler(c: Context): Promise {\n try {\n let request = await c.req.raw.formData();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig,\n request,\n requestHeaders,\n 'imageEdit',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('imageEdit error: ', err);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/imageGenerationsHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/images/generations' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function imageGenerationsHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig,\n request,\n requestHeaders,\n 'imageGenerate',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('imageGenerate error: ', err);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/messagesCountTokensHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/messages/count_tokens' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function messagesCountTokensHandler(\n c: Context\n): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'messagesCountTokens',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.log('messagesCountTokens error', err.message);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: errorMessage,\n }),\n {\n status: statusCode,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/messagesHandler.ts",
"content": "import { RouterError } from '../errors/RouterError';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { Context } from 'hono';\n\n/**\n * Handles the '/messages' API request by selecting the appropriate provider(s) and making the request to them.\n *\n * @param {Context} c - The Cloudflare Worker context.\n * @returns {Promise} - The response from the provider.\n * @throws Will throw an error if no provider options can be determined or if the request to the provider(s) fails.\n * @throws Will throw an 500 error if the handler fails due to some reasons\n */\nexport async function messagesHandler(c: Context): Promise {\n try {\n let request = await c.req.json();\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n 'messages',\n 'POST',\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.log('messages error', err.message);\n let statusCode = 500;\n let errorMessage = 'Something went wrong';\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: errorMessage,\n }),\n {\n status: statusCode,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/modelResponsesHandler.ts",
"content": "import { Context } from 'hono';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { endpointStrings } from '../providers/types';\n\nfunction modelResponsesHandler(\n endpoint: endpointStrings,\n method: 'POST' | 'GET' | 'DELETE'\n) {\n async function handler(c: Context): Promise {\n try {\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n let request = method === 'POST' ? await c.req.json() : {};\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig ?? {},\n request,\n requestHeaders,\n endpoint,\n method,\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('modelResponsesHandler error: ', err);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n }\n return handler;\n}\n\nexport default modelResponsesHandler;\n"
},
{
"path": "src/handlers/modelsHandler.ts",
"content": "import { Context, Next } from 'hono';\nimport { HEADER_KEYS } from '../globals';\nimport { env } from 'hono/adapter';\n\n/**\n * Handles the models request. Returns a list of models supported by the Ai gateway.\n * Allows filters in query params for the provider\n * @param c - The Hono context\n * @returns - The response\n */\nexport const modelsHandler = async (context: Context, next: Next) => {\n const fetchOptions: Record = {};\n fetchOptions['method'] = context.req.method;\n\n const controlPlaneURL = env(context).ALBUS_BASEPATH;\n\n const headers = Object.fromEntries(context.req.raw.headers);\n\n const authHeader = headers['Authorization'] || headers['authorization'];\n\n const apiKey =\n headers[HEADER_KEYS.API_KEY] || authHeader?.replace('Bearer ', '');\n let config: any = headers[HEADER_KEYS.CONFIG];\n if (config && typeof config === 'string') {\n try {\n config = JSON.parse(config);\n } catch {\n config = {};\n }\n }\n const providerHeader = headers[HEADER_KEYS.PROVIDER];\n const virtualKey = headers[HEADER_KEYS.VIRTUAL_KEY];\n\n const containsProvider =\n providerHeader || virtualKey || config?.provider || config?.virtual_key;\n\n if (containsProvider || !controlPlaneURL) {\n return next();\n }\n\n // Strip gateway endpoint for models endpoint.\n const urlObject = new URL(context.req.url);\n const requestRoute = `${controlPlaneURL}${context.req.path.replace('/v1/', '/v2/')}${urlObject.search}`;\n fetchOptions['headers'] = {\n [HEADER_KEYS.API_KEY]: apiKey,\n };\n\n const resp = await fetch(requestRoute, fetchOptions);\n return new Response(resp.body, {\n status: resp.status,\n headers: {\n 'content-type': 'application/json',\n },\n });\n};\n"
},
{
"path": "src/handlers/proxyHandler.ts",
"content": "import { Context } from 'hono';\nimport { CONTENT_TYPES } from '../globals';\nimport {\n constructConfigFromRequestHeaders,\n tryTargetsRecursively,\n} from './handlerUtils';\nimport { RouterError } from '../errors/RouterError';\n\nasync function getRequestData(request: Request, contentType: string) {\n let finalRequest: any;\n if (contentType == CONTENT_TYPES.APPLICATION_JSON) {\n if (['GET', 'DELETE'].includes(request.method)) {\n finalRequest = {};\n } else {\n finalRequest = await request.json();\n }\n } else if (contentType == CONTENT_TYPES.MULTIPART_FORM_DATA) {\n finalRequest = await request.formData();\n } else if (contentType?.startsWith(CONTENT_TYPES.GENERIC_AUDIO_PATTERN)) {\n finalRequest = await request.arrayBuffer();\n }\n\n return finalRequest;\n}\n\nexport async function proxyHandler(c: Context): Promise {\n try {\n let requestHeaders = Object.fromEntries(c.req.raw.headers);\n const requestContentType = requestHeaders['content-type']?.split(';')[0];\n\n const request = await getRequestData(c.req.raw, requestContentType);\n\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const tryTargetsResponse = await tryTargetsRecursively(\n c,\n camelCaseConfig,\n request,\n requestHeaders,\n 'proxy',\n c.req.method,\n 'config'\n );\n\n return tryTargetsResponse;\n } catch (err: any) {\n console.error('proxyHandler error: ', err);\n let statusCode = 500;\n let errorMessage = `Proxy error: ${err.message}`;\n\n if (err instanceof RouterError) {\n statusCode = 400;\n errorMessage = err.message;\n }\n\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: errorMessage,\n }),\n {\n status: statusCode,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/realtimeHandler.ts",
"content": "import { Context } from 'hono';\nimport { constructConfigFromRequestHeaders } from './handlerUtils';\nimport { ProviderAPIConfig } from '../providers/types';\nimport Providers from '../providers';\nimport { Options } from '../types/requestBody';\nimport {\n addListeners,\n getOptionsForOutgoingConnection,\n getURLForOutgoingConnection,\n} from './websocketUtils';\nimport { RealtimeLlmEventParser } from '../services/realtimeLlmEventParser';\n\nconst getOutgoingWebSocket = async (url: string, options: RequestInit) => {\n let outgoingWebSocket: WebSocket | null = null;\n try {\n let response = await fetch(url, options);\n outgoingWebSocket = response.webSocket;\n } catch (error) {\n console.error('getOutgoingWebSocket error: ', error);\n }\n\n if (!outgoingWebSocket) {\n throw new Error('WebSocket connection failed');\n }\n\n outgoingWebSocket.accept();\n return outgoingWebSocket;\n};\n\nexport async function realTimeHandler(c: Context): Promise {\n try {\n const requestHeaders = Object.fromEntries(c.req.raw.headers);\n\n const providerOptions = constructConfigFromRequestHeaders(\n requestHeaders\n ) as Options;\n const provider = providerOptions.provider ?? '';\n const apiConfig: ProviderAPIConfig = Providers[provider].api;\n const url = getURLForOutgoingConnection(\n apiConfig,\n providerOptions,\n c.req.url,\n c\n );\n const options = await getOptionsForOutgoingConnection(\n apiConfig,\n providerOptions,\n url,\n c\n );\n\n const sessionOptions = {\n id: crypto.randomUUID(),\n providerOptions: {\n ...providerOptions,\n requestURL: url,\n rubeusURL: 'realtime',\n },\n requestHeaders,\n requestParams: {},\n };\n\n const webSocketPair = new WebSocketPair();\n const client = webSocketPair[0];\n const server = webSocketPair[1];\n\n server.accept();\n\n let outgoingWebSocket: WebSocket = await getOutgoingWebSocket(url, options);\n const eventParser = new RealtimeLlmEventParser();\n addListeners(outgoingWebSocket, eventParser, server, c, sessionOptions);\n\n return new Response(null, {\n status: 101,\n webSocket: client,\n });\n } catch (err: any) {\n console.error('realtimeHandler error: ', err.message);\n return new Response(\n JSON.stringify({\n status: 'failure',\n message: 'Something went wrong',\n }),\n {\n status: 500,\n headers: {\n 'content-type': 'application/json',\n },\n }\n );\n }\n}\n"
},
{
"path": "src/handlers/realtimeHandlerNode.ts",
"content": "import { Context } from 'hono';\nimport { constructConfigFromRequestHeaders } from './handlerUtils';\nimport WebSocket from 'ws';\nimport { ProviderAPIConfig } from '../providers/types';\nimport Providers from '../providers';\nimport { Options } from '../types/requestBody';\nimport { RealtimeLlmEventParser } from '../services/realtimeLlmEventParser';\nimport { WSContext, WSEvents } from 'hono/ws';\n\nexport async function realTimeHandlerNode(\n c: Context\n): Promise> {\n try {\n let incomingWebsocket: WSContext | null = null;\n const requestHeaders = Object.fromEntries(c.req.raw.headers);\n const camelCaseConfig = constructConfigFromRequestHeaders(requestHeaders);\n\n const provider = camelCaseConfig?.provider ?? '';\n const apiConfig: ProviderAPIConfig = Providers[provider].api;\n const providerOptions = camelCaseConfig as Options;\n const baseUrl = apiConfig.getBaseURL({\n providerOptions,\n c,\n gatewayRequestURL: c.req.url,\n });\n const endpoint = apiConfig.getEndpoint({\n c,\n providerOptions,\n fn: 'realtime',\n gatewayRequestBodyJSON: {},\n gatewayRequestURL: c.req.url,\n });\n let url = `${baseUrl}${endpoint}`;\n url = url.replace('https://', 'wss://');\n const headers = await apiConfig.headers({\n c,\n providerOptions,\n fn: 'realtime',\n transformedRequestUrl: url,\n transformedRequestBody: {},\n });\n\n const sessionOptions = {\n id: crypto.randomUUID(),\n providerOptions: {\n ...providerOptions,\n requestURL: url,\n rubeusURL: 'realtime',\n },\n requestHeaders,\n requestParams: {},\n };\n\n const outgoingWebSocket = new WebSocket(url, {\n headers,\n });\n const eventParser = new RealtimeLlmEventParser();\n\n outgoingWebSocket.addEventListener('message', (event) => {\n incomingWebsocket?.send(event.data as string);\n try {\n const parsedData = JSON.parse(event.data as string);\n eventParser.handleEvent(c, parsedData, sessionOptions);\n } catch (err: any) {\n console.error(`eventParser.handleEvent error: ${err.message}`);\n }\n });\n\n outgoingWebSocket.addEventListener('close', (event) => {\n incomingWebsocket?.close(event.code, event.reason);\n });\n\n outgoingWebSocket.addEventListener('error', (event) => {\n console.error(`outgoingWebSocket error: ${event.message}`);\n incomingWebsocket?.close();\n });\n\n // wait for the upstream websocket to be open\n const checkWebSocketOpen = new Promise((resolve) => {\n outgoingWebSocket.addEventListener('open', () => {\n resolve(true);\n });\n });\n\n await checkWebSocketOpen;\n\n return {\n onOpen(evt, ws) {\n incomingWebsocket = ws;\n },\n onMessage(event) {\n outgoingWebSocket?.send(event.data as string);\n },\n onError(evt) {\n console.error(`incomingWebsocket error: ${evt.type}`);\n outgoingWebSocket?.close();\n },\n onClose() {\n outgoingWebSocket?.close();\n },\n };\n } catch (err) {\n c.set('websocketError', true);\n return {\n onOpen() {},\n onMessage() {},\n onError() {},\n onClose() {},\n };\n }\n}\n"
},
{
"path": "src/handlers/responseHandlers.ts",
"content": "import { Context } from 'hono';\nimport { CONTENT_TYPES } from '../globals';\nimport Providers from '../providers';\nimport { OpenAIChatCompleteJSONToStreamResponseTransform } from '../providers/openai/chatComplete';\nimport { OpenAICompleteJSONToStreamResponseTransform } from '../providers/openai/complete';\nimport { Options, Params } from '../types/requestBody';\n\nimport {\n handleAudioResponse,\n handleImageResponse,\n handleJSONToStreamResponse,\n handleNonStreamingMode,\n handleOctetStreamResponse,\n handleStreamingMode,\n handleTextResponse,\n} from './streamHandler';\nimport { HookSpan } from '../middlewares/hooks';\nimport { env } from 'hono/adapter';\nimport { OpenAIModelResponseJSONToStreamGenerator } from '../providers/open-ai-base/createModelResponse';\nimport { anthropicMessagesJsonToStreamGenerator } from '../providers/anthropic-base/utils/streamGenerator';\nimport { endpointStrings } from '../providers/types';\n\n/**\n * Handles various types of responses based on the specified parameters\n * and returns a mapped response\n * @param {Response} response - The HTTP response received from LLM.\n * @param {boolean} streamingMode - Indicates whether streaming mode is enabled.\n * @param {string} proxyProvider - The provider string.\n * @param {string | undefined} responseTransformer - The response transformer to determine type of call.\n * @param {string} requestURL - The URL of the original LLM request.\n * @param {boolean} [isCacheHit=false] - Indicates whether the response is a cache hit.\n * @param {Params} gatewayRequest - The gateway request parameters. (Optional)\n * @param {any} beforeRequestHooksResult - The result of the before request hooks. (Optional)\n * @param {Context} c - The context object. (Optional)\n * @param {endpointStrings} fn - The endpoint string. (Optional)\n * @returns {Promise<{response: Response, json?: any}>} - The mapped response.\n */\nexport async function responseHandler(\n c: Context,\n response: Response,\n streamingMode: boolean,\n providerOptions: Options,\n responseTransformer: string | undefined,\n requestURL: string,\n isCacheHit: boolean = false,\n gatewayRequest: Params,\n strictOpenAiCompliance: boolean,\n gatewayRequestUrl: string,\n areSyncHooksAvailable: boolean,\n hookSpanId: string\n): Promise<{\n response: Response;\n responseJson: Record
![](\"/docs/images/gateway-border.png\")
\n\n\n\n# AI Gateway\n\n### 通过一个快速友好的API链接超过100个大型语言模型。\n\n[](./LICENSE)\n[](https://portkey.ai/community)\n[](https://twitter.com/portkeyai)\n[](https://www.npmjs.com/package/@portkey-ai/gateway)\n\n\n![](\"https://cfassets.portkey.ai/logo/dew-color.svg\"){kind=logo}
Portkey Cloud 官方部署(推荐)![](\"https://cdn.simpleicons.org/docker/3776AB\")
Docker![](\"https://cdn.simpleicons.org/node.js/3776AB\")
Node.js![](\"https://cdn.simpleicons.org/cloudflare/3776AB\")
Cloudflare![](\"https://cdn.simpleicons.org/replit/3776AB\")
Replit![](\"docs/images/openai.png\"){kind=small}
| OpenAI | ✅ |✅ | `/completions`, `/chat/completions`,`/embeddings`, `/assistants`, `/threads`, `/runs` |\n| ![](\"docs/images/azure.png\"){kind=small}
| Azure OpenAI | ✅ |✅ | `/completions`, `/chat/completions`,`/embeddings` |\n| ![](\"docs/images/anyscale.png\"){kind=small}
| Anyscale | ✅ | ✅ | `/chat/completions` |\n| ![](\"https://upload.wikimedia.org/wikipedia/commons/2/2d/Google-favicon-2015.png\"){kind=small}
| Google Gemini & Palm | ✅ |✅ | `/generateMessage`, `/generateText`, `/embedText` |\n| ![](\"docs/images/anthropic.png\"){kind=small}
| Anthropic | ✅ |✅ | `/messages`, `/complete` |\n| ![](\"docs/images/cohere.png\"){kind=small}
| Cohere | ✅ |✅ | `/generate`, `/embed`, `/rerank` |\n| ![](\"https://assets-global.website-files.com/64f6f2c0e3f4c5a91c1e823a/654693d569494912cfc0c0d4_favicon.svg\"){kind=small}
| Together AI | ✅ |✅ | `/chat/completions`, `/completions`, `/inference` |\n| ![](\"https://www.perplexity.ai/favicon.svg\"){kind=small}
| Perplexity | ✅ |✅ | `/chat/completions` |\n| ![](\"https://docs.mistral.ai/img/favicon.ico\"){kind=small}
| Mistral | ✅ |✅ | `/chat/completions`, `/embeddings` |\n\n> [在这里查看支持的100多个模型的完整列表](https://portkey.ai/docs/welcome/what-is-portkey#ai-providers-supported)\n![](\"https://1000logos.net/wp-content/uploads/2021/10/logo-Meta.png\"){kind=logo}
\n ![](\"https://framerusercontent.com/images/gmlOW8yeKP2pGuIsObM6gKLzeMI.png\")
\n ![](\"https://framerusercontent.com/images/6EWuq3FWhqrPe3kKLqVspevi4.png\")
\n ![\"Gateway](\"docs/images/demo.gif\")
![\"Get](\"https://portkey.ai/blog/content/images/2024/08/Get-API-Key--3-.png\")
![\"Book](\"https://portkey.ai/blog/content/images/2024/08/Get-API-Key--5-.png\")
![](\"https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Python-logo-notext.svg/1869px-Python-logo-notext.svg.png\"){kind=logo}
Python SDKの使用 ![](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
![](\"https://cdn-icons-png.flaticon.com/512/5968/5968322.png\"){kind=icon}
Node.JS SDKの使用\n[Portkey JS/TS SDK](https://www.npmjs.com/package/portkey-ai)は、OpenAI JS SDKのラッパーであり、他のすべてのプロバイダーに対する追加パラメータのサポートを提供します。**JSまたはTSで構築している場合、これはゲートウェイに接続するための推奨ライブラリです**。\n\n```bash\nnpm install --save portkey-ai\n```\n![](\"https://www.svgrepo.com/show/305922/curl.svg\"){kind=small}
REST APIの使用\nAIゲートウェイは、すべての他のプロバイダーとモデルに対する追加パラメータのサポートを備えたOpenAI互換エンドポイントをサポートします。[APIリファレンスを表示](https://docs.portkey.ai/docs/api-reference/introduction)。\n![](\"https://docs.nomic.ai/img/nomic-logo.png\"){kind=logo}
| [Nomic](https://portkey.ai/docs/welcome/integration-guides/nomic) | ✅ | ✅ |\n| ![](\"https://files.readme.io/d38a23e-small-studio-favicon.png\"){kind=small}
| [AI21](https://portkey.ai/docs/welcome/integration-guides) | ✅ | ✅ |\n| ![](\"https://platform.stability.ai/small-logo-purple.svg\"){kind=logo}
| [Stability AI](https://portkey.ai/docs/welcome/integration-guides/stability-ai) | ✅ | ✅ |\n| ![](\"https://deepinfra.com/_next/static/media/logo.4a03fd3d.svg\"){kind=logo}
| [DeepInfra](https://portkey.ai/docs/welcome/integration-guides) | ✅ | ✅ |\n| ![](\"https://ollama.com/public/ollama.png\"){kind=small}
| [Ollama](https://portkey.ai/docs/welcome/integration-guides/ollama) | ✅ | ✅ |\n| ![](\"https://docs.portkey.ai/~gitbook/image?url=https%3A%2F%2F2878743244-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252Fy3MCfQqftZOnHqSmVV5x%252Fuploads%252FOVuOxN4uFdBp1BdXX4E6%252Fmultimodal-icon.png%3Falt%3Dmedia%26token%3Db8b7bd49-0194-4d2f-89d4-c6633a872372&width=768&dpr=2&quality=100&sign=f51129a9&sv=1\"){kind=icon}
\n ![](\"https://docs.portkey.ai/~gitbook/image?url=https%3A%2F%2F2878743244-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252Fy3MCfQqftZOnHqSmVV5x%252Fuploads%252FDFkhZpqtBfQMIW9BhVum%252Fguardrails-icon.png%3Falt%3Dmedia%26token%3D91cfe226-5ce9-44b3-a0e8-be9f3ae3917f&width=768&dpr=2&quality=100&sign=73608afc&sv=1\"){kind=icon}
\n ![\"Portkey](\"https://cfassets.portkey.ai/sdk.gif\")
\n\n[Docs](https://portkey.wiki/gh-1) | [Enterprise](https://portkey.wiki/gh-2) | [Hosted Gateway](https://portkey.wiki/gh-3) | [Changelog](https://portkey.wiki/gh-4) | [API Reference](https://portkey.wiki/gh-5)\n\n\n[](./LICENSE)\n[](https://portkey.wiki/gh-6)\n[](https://portkey.wiki/gh-7)\n[](https://portkey.wiki/gh-8)\n[](https://portkey.wiki/gh-9)\n\n![\"Deploy](\"https://img.shields.io/badge/Deploy_to_EC2-232F3E?style=for-the-badge&logo=amazonwebservices&logoColor=white\"){kind=icon}
![](\"https://cdn.simpleicons.org/javascript/3776AB\")
JS](https://portkey.wiki/gh-19)\n [![](\"https://cdn.simpleicons.org/python/3776AB\")
Python](https://portkey.wiki/gh-20)\n [![](\"https://cdn.simpleicons.org/gnubash/3776AB\")
REST](https://portkey.sh/gh-84)\n [![](\"https://cdn.simpleicons.org/openai/3776AB\")
OpenAI SDKs](https://portkey.wiki/gh-21)\n [![](\"https://cdn.simpleicons.org/langchain/3776AB\")
Langchain](https://portkey.wiki/gh-22)\n [LlamaIndex](https://portkey.wiki/gh-23)\n [Autogen](https://portkey.wiki/gh-24)\n [CrewAI](https://portkey.wiki/gh-25)\n [More..](https://portkey.wiki/gh-26)\n\n\nOn the Gateway Console (`http://localhost:8787/public/`) you can see all of your local logs in one place.\n\n![\"Request](\"https://portkey.ai/blog/content/images/size/w1600/2024/11/image-15.png\" "\\"Request")
\n![](\"https://cfassets.portkey.ai/amazon-logo.svg\"){kind=logo}
AWS](https://portkey.wiki/gh-28)\n [![](\"https://cfassets.portkey.ai/azure-logo.svg\"){kind=logo}
Azure](https://portkey.wiki/gh-29)\n [![](\"https://cdn.simpleicons.org/googlecloud/3776AB\")
GCP](https://portkey.wiki/gh-30)\n [![](\"https://cdn.simpleicons.org/redhatopenshift/3776AB\")
OpenShift](https://portkey.wiki/gh-31)\n [![](\"https://cdn.simpleicons.org/kubernetes/3776AB\")
Kubernetes](https://portkey.wiki/gh-85)\n\n\n\nThe LLM Gateway's [enterprise version](https://portkey.wiki/gh-86) offers advanced capabilities for **org management**, **governance**, **security** and [more](https://portkey.wiki/gh-87) out of the box. [View Feature Comparison →](https://portkey.wiki/gh-32)\n\nThe enterprise deployment architecture for supported platforms is available here - [**Enterprise Private Cloud Deployments**](https://portkey.ai/docs/self-hosting/hybrid-deployments/architecture)\n\n![\"header\"](\"../docs/images/cookbook-header.png\")
\n\n#### Strategies and examples for tackling the production challenges of LLMs with Portkey Gateway\n\n[](https://portkey.ai/community)\n[](https://twitter.com/portkeyai)\n\n## Table of Contents\n\nPlease use the below table of contents to navigate through the cookbook.\n\n### Latest Notebooks\n\n- Use models from [Nvidia NIM](/cookbook/providers/nvidia.ipynb) with AI Gateway\n- Monitor [Llama Agents](/cookbook/monitoring-agents/Llama_Agents_with_Telemetry.ipynb) with Portkey!\n- Create [Synthetic Datasets](/cookbook/use-cases/Nemotron_GPT_Finetuning_Portkey.ipynb) using Nemotron-340B\n- Comparing [Top 10 LMSYS Models](./use-cases/LMSYS%20Series/comparing-top10-LMSYS-models-with-Portkey.ipynb) with AI Gateway.\n\n\n## getting-started\n* [Gentle introduction to Portkey Gateway](./getting-started/gentle-introduction-to-portkey-gateway.ipynb)\n* [Use Portkey cache to save LLM cost & time](./getting-started/enable-cache.md)\n* [Retry automatically on LLM failures](./getting-started/automatic-retries-on-failures.md)\n* [Image generation with Gateway](./getting-started/image-generation.ipynb)\n* [Writing your first Gateway Config](./getting-started/writing-your-first-gateway-config.md)\n* [Automatically Fallback from OpenAI to Azure](./getting-started/fallback-from-openai-to-azure.ipynb)\n\nView the [official docs](https://portkey.ai/docs)\n\n## providers\n* [OpenAI](./providers/openai.ipynb)\n* [Anthropic](./providers/anthropic.md)\n* [Mistral](./providers/mistral.md)\n* [Vercel AI](./integrations/vercel-ai.md)\n* [Groq](./providers/groq.ipynb)\n* [Mistral](./providers/mistral.ipynb)\n* [Deepinfra](./providers/deepinfra.ipynb)\n* [Segmind](./providers/segmind.ipynb)\n* [Nvidia](./providers/nvidia.ipynb)\n\nView the [full list of providers here](https://portkey.ai/docs/welcome/integration-guides).\n\n## integrations\n* [Langchain](./integrations/langchain.ipynb)\n* [Llama Index](./integrations/llama-index.ipynb)\n* [Instructor](./integrations/Instructor_with_Portkey.ipynb)\n* [Phidata](./integrations/Phidata_with_Portkey.ipynb)\n\nView the [full list of integrations here](https://portkey.ai/docs/welcome/integration-guides).\n\n## monitoring-agents\n* [Autogen](./monitoring-agents/Autogen_with_Telemetry.ipynb)\n* [CrewAI](./monitoring-agents/CrewAI_with_Telemetry.ipynb)\n* [Llama Agents](./monitoring-agents/Llama_Agents_with_Telemetry.ipynb)\n* [ControlFlow](./monitoring-agents/ControlFlow_with_Telemetry.ipynb)\n\n\n## contributing\n\nThis is a community-driven resource! We welcome ideas, improvements, quick fixes, and deeper contributions that help the community.\n\n[Request Cookbooks here](https://github.com/portkey-ai/gateway/issues). Check out our contribution [guidelines here](../.github/CONTRIBUTING.md).\n"
},
{
"path": "cookbook/getting-started/automatic-retries-on-failures.md",
"content": "# Automatically retry requests to LLMs\n\nA sudden timeout or error could harm the user experience and hurt your service's reputation if your application relies on an LLM for a critical feature. To prevent this, it's crucial to have a reliable retry mechanism in place. This will ensure that users are not left frustrated and can depend on your service.\n\nRetrying Requests to Large Langauge Models (LLMs) can significantly increase your Gen AI app's reliability.\n\nIt can help you handle cases such as:\n\n1. Cases that timed out (no response from the model)\n2. Cases that returned a transient error from the model\n\nIn this cookbook, you will learn to use Portkey to automatically retry the requests on specific response status codes and control the times you want to retry.\n\n## 1. Import and Authenticate Portkey Client SDK\n\nPortkey forwards your requests to your desired model and relays the response to your app. Portkey’s Client SDK is one of several ways to make those API calls through the AI gateway.\n\nTo install it, type the following in your NodeJS environment:\n\n```sh\nnpm install portkey-ai\n```\n\nImport `Portkey` and instantiate it using the Portkey API Key\n\n```js\nconst portkey = new Portkey({\n apiKey: 'xxxxrk',\n virtualKey: 'maixxx4d'\n});\n```\n\nAt this point, it’s essential to understand that you instantiate the `portkey` instance with `apiKey` and `virtualKey` parameters. You can find the arguments for both of them in your Portkey Dashboard.\n\nVisit the reference to [obtain the Portkey API key](https://portkey.ai/docs/api-reference/authentication) and learn [how to create Virtual Keys](https://portkey.ai/docs/product/ai-gateway-streamline-llm-integrations/virtual-keys#creating-virtual-keys).\n\n## 2. Gateway Configs to Automatically Retry\n\nFor the AI gateway to understand that you want to apply automatic retries to your requests, you must pass Gateway Configs in your request payload. Gateway Configs can be a JS Object or a JSON string.\n\nA typical Gateway Config to automatically retry three times when you hit rate-limits:\n\n```js\n{\n retry: {\n attempts: 3,\n on_status_codes: [429]\n }\n}\n```\n\nYou created a `retry` object with `attempts` and `on_status_codes` keys. The value of `attempts` can be bumped up to `5` times to retry automatically, while `on_status_codes` is an optional key. By default, Portkey will attempt to retry on the status codes `[429, 500, 502, 503, 504]`.\n\nRefer to the [101 on Gateway Configs](https://github.com/Portkey-AI/portkey-cookbook/blob/main/product/101-portkey-gateway-configs.md#a-reference-gateway-configs-from-the-ui) and [Automatic Retries](https://portkey.ai/docs/product/ai-gateway-streamline-llm-integrations/automatic-retries).\n\n## 3. Make API calls using Portkey Client SDK\n\nYou are now ready to make an API call through Portkey. While there are several ways to make API calls, in this cookbook, let’s pass the gateway configuration during the chat completion call.\n\n```js\nlet response = await portkey.chat.completions.create(\n {\n model: 'gpt-4',\n messages: [\n {\n role: 'user',\n content: 'What are 7 wonders of the world?'\n }\n ]\n },\n {\n config: JSON.stringify({\n retry: {\n attempts: 3,\n on_status_codes: [429]\n }\n })\n }\n);\n\nconsole.log(response.choices[0].message.content);\n```\n\nThe Portkey SDK adds the configs in the HTTP headers to apply automatic retries to our requests. Broadly, the signature of the chat completion method:\n\n```js\nawait portkey.chat.completions.create( modelParmeters [, gatewayConfigs])\n```\n\n## 4. View the Logs\n\nNow that you successfully know how to make API calls through Portkey, it’s also helpful to learn about Logs. You can find all requests sent through Portkey on the **Dashboard** > **Logs** page.\n\n\nThis page provides essential information such as time, cost, and response. Feel free to explore it!\n\nInstead of using your own application-level looping or control structures to implement retries, you can use Portkey’s Gateway Configs to manage all of them.\n\n![\\\"Open](\\\"https://colab.research.google.com/assets/colab-badge.svg\\\"){kind=icon}
![\\\"portkey\\\"](\\\"https://analyticsindiamag.com/wp-content/uploads/2023/08/Logo-on-white-background.png\\\"){kind=logo}
\\n\",\n \" ![](\\\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-MoQxcZmsvbzVKibXlRMuAHXm/user-i6swNsHjkKq4a2nVMPjXIzEj/img-5Tu0qUqrQzWieLdgVfvsqBGE.png?st=2024-02-21T08%3A42%3A39Z&se=2024-02-21T10%3A42%3A39Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-02-21T07%3A06%3A59Z&ske=2024-02-22T07%3A06%3A59Z&sks=b&skv=2021-08-06&sig=XZnNqgSMDtKOHq2xI/UobrPjCU6%2Bz6wXGSScrMQKfLc%3D\\\"/)
\"\n ],\n \"text/plain\": [\n \"![](\\\"attachment:34be4d67-09c5-4db0-bdfc-7b144f09ca15.png\\\")
\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"id\": \"8c259350-1a18-49a9-8451-49978f8b5cc2\",\n \"metadata\": {\n \"id\": \"8c259350-1a18-49a9-8451-49978f8b5cc2\"\n },\n \"source\": [\n \"### 2. Generate an image using Stability AI\\n\",\n \"Let's try to make an image generation request to Stability through Portkey. Notice that we're going to use the OpenAI SDK itself to make calls to Stability AI as well\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"id\": \"b49a7dfc-b08f-4e0d-878b-b2aa6b6fd2a6\",\n \"metadata\": {\n \"id\": \"b49a7dfc-b08f-4e0d-878b-b2aa6b6fd2a6\",\n \"outputId\": \"6074fbde-bfc7-4520-a61c-ff3514b982fc\"\n },\n \"outputs\": [\n {\n \"data\": {\n \"image/png\": 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\"text/plain\": [\n \"![\\\"O\\\"](\\\"https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey_PII_Guardrails.png\\\")
\\n\",\n \"\\n\",\n \"![\\\"O\\\"](\\\"https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/actions-gaurdrails.png\\\")
\\n\",\n \"\\n\"\n ],\n \"metadata\": {\n \"id\": \"RhXlcYb5NFqj\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"# Step 1: Setting up the environment\\n\",\n \"\\n\",\n \"First, let's install the necessary packages:\"\n ],\n \"metadata\": {\n \"id\": \"_x0jcajG76AY\"\n }\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"metadata\": {\n \"id\": \"kXamAIlNgU7J\",\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"!pip install -qU langchain-openai portkey-ai langchain langchain_community\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"# Step 2: Importing required libraries and setting up API keys\\n\",\n \"\\n\",\n \"In this step, we'll import the necessary libraries and set up our API keys. We'll also create Portkey config object to add guardrails to protect against PII exposure. Get your Portkey API key from [here](https://app.portkey.ai/api-keys).\"\n ],\n \"metadata\": {\n \"id\": \"E943mJcZG7SX\"\n }\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"metadata\": {\n \"id\": \"VZShDZzRr-yo\",\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"import os\\n\",\n \"from typing import Dict\\n\",\n \"from langchain_openai import ChatOpenAI\\n\",\n \"from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\\n\",\n \"from langchain_core.chat_history import BaseChatMessageHistory\\n\",\n \"from langchain_core.runnables.history import RunnableWithMessageHistory\\n\",\n \"from portkey_ai import createHeaders, PORTKEY_GATEWAY_URL\\n\",\n \"from langchain_core.chat_history import InMemoryChatMessageHistory\\n\",\n \"\\n\",\n \"\\n\",\n \"portkey_config={\\n\",\n \"\\t\\\"after_request_hooks\\\": [\\n\",\n \"\\t\\t{\\n\",\n \"\\t\\t\\t\\\"id\\\": \\\"pg-portke-416feb\\\" #YOUR_CONFIG_ID\\n\",\n \"\\t\\t}\\n\",\n \"\\t]\\n\",\n \"}\\n\",\n \"\\n\",\n \"\\n\",\n \"llm = ChatOpenAI(\\n\",\n \" api_key=\\\"YOUR_OPENAI_API_KEY\\\",\\n\",\n \" base_url=PORTKEY_GATEWAY_URL,\\n\",\n \" model=\\\"gpt-3.5-turbo\\\",\\n\",\n \" default_headers=createHeaders(\\n\",\n \" provider=\\\"openai\\\",\\n\",\n \" api_key=\\\"Your_Portkey_API_key\\\",\\n\",\n \" config=portkey_config,\\n\",\n \" )\\n\",\n \")\\n\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"This code sets up our environment with the necessary configurations for Portkey guardrails. The portkey_config defines our guardrail settings, including retry attempts, caching, and hooks for request and response processing.\\n\",\n \"\\n\"\n ],\n \"metadata\": {\n \"id\": \"IeIvEQiIG9y-\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"# Step 3: Creating the chat prompt template and chain\\n\",\n \"\\n\",\n \"Now, let's set up our chat prompt template and create a chain that combines the prompt with our Portkey-protected model. This structure allows us to maintain a conversation history while applying guardrails to each interaction.\"\n ],\n \"metadata\": {\n \"id\": \"TdMZ3Mx378rd\"\n }\n },\n {\n \"cell_type\": \"code\",\n \"source\": [\n \"\\n\",\n \"# Create a chat prompt template\\n\",\n \"prompt = ChatPromptTemplate.from_messages([\\n\",\n \" (\\\"system\\\", \\\"You are a helpful assistant. Answer all questions to the best of your ability. Reply with the user info given in the request\\\"),\\n\",\n \" MessagesPlaceholder(variable_name=\\\"messages\\\"),\\n\",\n \"])\\n\",\n \"\\n\",\n \"# Create a chain that combines the prompt and the model\\n\",\n \"chain1 = prompt | llm\\n\",\n \"\\n\",\n \"# Create a dictionary to store chat histories for different sessions\\n\",\n \"store: Dict[str, BaseChatMessageHistory] = {}\\n\",\n \"\\n\",\n \"def get_session_history_1(session_id: str) -> BaseChatMessageHistory:\\n\",\n \" if session_id not in store:\\n\",\n \" store[session_id] = InMemoryChatMessageHistory()\\n\",\n \" return store[session_id]\\n\",\n \"\\n\",\n \"# Wrap the chain with message history\\n\",\n \"with_message_history_1 = RunnableWithMessageHistory(\\n\",\n \" chain1,\\n\",\n \" get_session_history_1,\\n\",\n \" input_messages_key=\\\"messages\\\",\\n\",\n \")\\n\",\n \"\\n\",\n \"# Function to chat with the bot\\n\",\n \"def chat_with_bot1(session_id: str, user_input: str):\\n\",\n \" config = {\\\"configurable\\\": {\\\"session_id\\\": session_id}}\\n\",\n \" response = with_message_history_1.invoke(\\n\",\n \" {\\\"messages\\\": [{\\\"content\\\": user_input, \\\"type\\\": \\\"human\\\"}]},\\n\",\n \" config=config\\n\",\n \" )\\n\",\n \" return response.content\\n\",\n \"\\n\"\n ],\n \"metadata\": {\n \"id\": \"oL9gBUBu7iLL\"\n },\n \"execution_count\": null,\n \"outputs\": []\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"This code creates a chat prompt template, sets up a chain combining the prompt and the Portkey-protected model, and establishes a system for managing chat history. The chat_with_bot function handles individual interactions, applying our guardrails to each message.\\n\"\n ],\n \"metadata\": {\n \"id\": \"BdxJenOI79hs\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"# Step 4: Running the chatbot\\n\",\n \"Finally, we'll implement the main loop for our chatbot. This will allow users to interact with the bot while our Portkey guardrails work in the background to protect sensitive information.\\n\",\n \"\\n\",\n \"Try using this prompt to see guardrails in action- \\\"My name is Siddharth and my email id is xyz@gmail.com\\\"\"\n ],\n \"metadata\": {\n \"id\": \"D02MN0oLHE2x\"\n }\n },\n {\n \"cell_type\": \"code\",\n \"source\": [\n \"# Example usage\\n\",\n \"if __name__ == \\\"__main__\\\":\\n\",\n \" session_id = \\\"testWithGuradrails\\\"\\n\",\n \"\\n\",\n \" while True:\\n\",\n \" user_input = input(\\\"You: \\\")\\n\",\n \" if user_input.lower() in ['exit', 'quit', 'bye']:\\n\",\n \" print(\\\"Bot: Goodbye!\\\")\\n\",\n \" break\\n\",\n \"\\n\",\n \" response = chat_with_bot1(session_id, user_input)\\n\",\n \" print(f\\\"Bot: {response}\\\")\"\n ],\n \"metadata\": {\n \"collapsed\": true,\n \"id\": \"Z2w0DB0b7j6g\"\n },\n \"execution_count\": null,\n \"outputs\": []\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"## Conclusion\\n\",\n \"\\n\",\n \"Here is how the traces of your request looks like on your Portkey dashboard-\\n\",\n \"\\n\",\n \"\\n\",\n \"![\\\"O\\\"](\\\"https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/PII-fail-traces-guardrails.png\\\")
\\n\",\n \"\\n\",\n \"Portkey helps you connect to 250+ LLMs with just 2 lines of code. It helps you build robust aps with built in observability and guardrails.\\n\",\n \"\\n\",\n \"In this tutorial, we've created two versions of a chatbot:\\n\",\n \"\\n\",\n \"1. A basic chatbot without PII protection\\n\",\n \"2. An enhanced chatbot with Portkey guardrails\\n\",\n \"\\n\",\n \"\\n\",\n \"![\\\"O\\\"](\\\"https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey-Dashboard.png\\\")
\\n\",\n \"\\n\",\n \"\\n\",\n \"\\n\",\n \"The first version demonstrates a simple implementation using LangChain, but it lacks any mechanism to detect or protect sensitive information. This could potentially lead to the exposure of PII in logs or responses.\\n\",\n \"\\n\",\n \"The second version, integrating Portkey with our LangChain-based chatbot, significantly enhances our AI application's capabilities, reliability, and security. By implementing PII detection guardrails, we've added a crucial layer of protection against the unintended exposure of sensitive information.\\n\",\n \"\\n\",\n \"By comparing these two implementations, we can clearly see the benefits of using Portkey guardrails in AI applications, especially when dealing with potentially sensitive user inputs.\"\n ],\n \"metadata\": {\n \"id\": \"A3BOYCMwFoxF\"\n }\n }\n ],\n \"metadata\": {\n \"colab\": {\n \"provenance\": []\n },\n \"kernelspec\": {\n \"display_name\": \"Python 3\",\n \"name\": \"python3\"\n },\n \"language_info\": {\n \"name\": \"python\"\n }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 0\n}\n"
},
{
"path": "cookbook/integrations/Instructor_with_Portkey.ipynb",
"content": "{\n \"nbformat\": 4,\n \"nbformat_minor\": 0,\n \"metadata\": {\n \"colab\": {\n \"provenance\": []\n },\n \"kernelspec\": {\n \"name\": \"python3\",\n \"display_name\": \"Python 3\"\n },\n \"language_info\": {\n \"name\": \"python\"\n }\n },\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"[](https://colab.research.google.com/drive/1jaemmsUi8TnrK6so6pvvDG6e666QIng2?usp=sharing)\\n\"\n ],\n \"metadata\": {\n \"id\": \"03GPOrjb8FJ1\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"# Get structured outputs from 100+ LLMs\"\n ],\n \"metadata\": {\n \"id\": \"QUvn05wUXBbA\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"[**Instructor**](https://github.com/jxnl/instructor) is a Python library for getting structured outputs from LLMs. Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses.\\n\",\n \"\\n\",\n \"![](\\\"https://play-lh.googleusercontent.com/_O9p4Z4yucA2NLmZBu9mTJCuBwXeT9NcbtrDN6I8gKlkIPRySV0adOmbyipjSj9Gew\\\")
\\n\",\n \"\\n\",\n \"![](\"https://portkey.ai/blog/content/images/2023/11/logsgif.gif\")
\n\n### 2. Caching, Fallbacks, Load Balancing\n\n- **Fallbacks**: Ensure your application remains functional even if a primary service fails.\n- **Load Balancing**: Efficiently distribute incoming requests among multiple models.\n- **Semantic Caching**: Reduce costs and latency by intelligently caching results.\n\nToggle these features by saving _Configs_ (from the Portkey dashboard > Configs tab).\n\nIf we want to enable semantic caching + fallback from Llama2 to Mistral, your Portkey config would look like this:\n\n```json\n{\n \"cache\": { \"mode\": \"semantic\" },\n \"strategy\": { \"mode\": \"fallback\" },\n \"targets\": [\n {\n \"provider\": \"anyscale\",\n \"api_key\": \"...\",\n \"override_params\": { \"model\": \"meta-llama/Llama-2-7b-chat-hf\" }\n },\n {\n \"provider\": \"anyscale\",\n \"api_key\": \"...\",\n \"override_params\": { \"model\": \"mistralai/Mistral-7B-Instruct-v0.1\" }\n }\n ]\n}\n```\n\nNow, just send the Config ID with `x-portkey-config` header:\n\n```py\n\"\"\" OPENAI PYTHON SDK \"\"\"\nimport openai, json\n\nPORTKEY_GATEWAY_URL = \"https://api.portkey.ai/v1\"\n\nPORTKEY_HEADERS = {\n\t'Content-Type': 'application/json',\n\t'x-portkey-api-key': 'PORTKEY_API_KEY',\n\t# **************************************\n\t'x-portkey-config': 'CONFIG_ID'\n\t# **************************************\n}\n\nclient = openai.OpenAI(base_url=PORTKEY_GATEWAY_URL, default_headers=PORTKEY_HEADERS)\n\nresponse = client.chat.completions.create(\n\tmodel=\"mistralai/Mistral-7B-Instruct-v0.1\",\n\tmessages=[{\"role\": \"user\", \"content\": \"Say this is a test\"}]\n)\n\nprint(response.choices[0].message.content)\n```\n\n```javascript\n\"\"\" OPENAI NODE SDK \"\"\"\nimport OpenAI from 'openai';\n\nconst PORTKEY_GATEWAY_URL = \"https://api.portkey.ai/v1\"\n\nconst PORTKEY_HEADERS = {\n\t'Content-Type': 'application/json',\n\t'x-portkey-api-key': 'PORTKEY_API_KEY',\n\t// **************************************\n\t'x-portkey-config': 'CONFIG_ID'\n\t// **************************************\n}\n\nconst openai = new OpenAI({baseURL:PORTKEY_GATEWAY_URL, defaultHeaders:PORTKEY_HEADERS});\n\nasync function main() {\n const chatCompletion = await openai.chat.completions.create({\n messages: [{ role: 'user', content: 'Say this is a test' }],\n model: 'mistralai/Mistral-7B-Instruct-v0.1',\n });\n console.log(chatCompletion.choices[0].message.content);\n}\n\nmain();\n```\n\n```py\n\"\"\" REQUESTS LIBRARY \"\"\"\nimport requests, json\n\nPORTKEY_GATEWAY_URL = \"https://api.portkey.ai/v1/chat/completions\"\n\nPORTKEY_HEADERS = {\n\t'Content-Type': 'application/json',\n\t'x-portkey-api-key': 'PORTKEY_API_KEY',\n\t# **************************************\n\t'x-portkey-config': 'CONFIG_ID'\n\t# **************************************\n}\n\nDATA = {\"messages\": [{\"role\": \"user\", \"content\": \"What happens when you mix red & yellow?\"}]}\n\nresponse = requests.post(PORTKEY_GATEWAY_URL, headers=PORTKEY_HEADERS, json=DATA)\n\nprint(response.text)\n```\n\n```bash\n\"\"\" CURL \"\"\"\ncurl \"https://api.portkey.ai/v1/chat/completions\" \\\n -H \"Content-Type: application/json\" \\\n -H \"x-portkey-api-key: PORTKEY_API_KEY\" \\\n -H \"x-portkey-config: CONFIG_ID\" \\\n -d '{ \"messages\": [{\"role\": \"user\", \"content\": \"Say 'Test'.\"}] }'\n```\n\nFor more on Configs and other gateway feature like Load Balancing, [check out the docs.](https://portkey.ai/docs/product/ai-gateway-streamline-llm-integrations)\n\n### 3. Collect Feedback\n\nGather weighted feedback from users and improve your app:\n\n```py\n\"\"\" REQUESTS LIBRARY \"\"\"\nimport requests\nimport json\n\nPORTKEY_FEEDBACK_URL = \"https://api.portkey.ai/v1/feedback\" # Portkey Feedback Endpoint\n\nPORTKEY_HEADERS = {\n\t\"x-portkey-api-key\": \"PORTKEY_API_KEY\",\n\t\"Content-Type\": \"application/json\",\n}\n\nDATA = {\n\t\"trace_id\": \"anyscale_portkey_test\", # On Portkey, you can append feedback to a particular Trace ID\n\t\"value\": 1,\n\t\"weight\": 0.5\n}\n\nresponse = requests.post(PORTKEY_FEEDBACK_URL, headers=PORTKEY_HEADERS, data=json.dumps(DATA))\n\nprint(response.text)\n```\n\n```bash\n\"\"\" CURL \"\"\"\ncurl \"https://api.portkey.ai/v1/feedback\" \\\n -H \"x-portkey-api-key: PORTKEY_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"trace_id\": \"anyscale_portkey_test\",\n \"value\": 1,\n \"weight\": 0.5\n }'\n```\n\n### 4. Continuous Fine-Tuning\n\nOnce you start logging your requests and their feedback with Portkey, it becomes very easy to 1️) Curate & create data for fine-tuning, 2) Schedule fine-tuning jobs, and 3) Use the fine-tuned models!\n\nFine-tuning is currently enabled for select orgs - please request access on [Portkey Discord](https://discord.gg/sDk9JaNfK8) and we'll get back to you ASAP.\n\n![\"header\"](\"https://portkey.ai/blog/content/images/2023/11/fine-tune.gif\")
\n\n#### Conclusion\n\nIntegrating Portkey with Anyscale helps you build resilient LLM apps from the get-go. With features like semantic caching, observability, load balancing, feedback, and fallbacks, you can ensure optimal performance and continuous improvement.\n\n[Read full Portkey docs here.](https://portkey.ai/docs/) | [Reach out to the Portkey team.](https://discord.gg/sDk9JaNfK8)\n"
},
{
"path": "cookbook/integrations/deepinfra.ipynb",
"content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"provenance\":[]},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"},\"language_info\":{\"name\":\"python\"}},\"cells\":[{\"cell_type\":\"markdown\",\"source\":[\"![](\\\"https://portkey.ai/blog/content/images/size/w1600/2024/06/CleanShot-2024-06-06-at-19.48.47@2x.png\\\")
\\n\",\n \"\\n\",\n \"**Enter Portkey:** A unified, open source API for accessing over 200 LLMs. Portkey makes it a breeze to call the models on the LMSYS leaderboard - no setup required.\\n\",\n \"\\n\",\n \"---\\n\",\n \"\\n\",\n \"\\n\",\n \"In this notebook, you'll see how Portkey streamlines LLM evaluation for the **Top 10 LMSYS Models**, giving you valuable insights into cost, performance, and accuracy metrics.\\n\",\n \"\\n\",\n \"Let's dive in!\\n\",\n \"\\n\",\n \"---\"\n ],\n \"metadata\": {\n \"id\": \"bUQdnOHYqWLj\"\n }\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"### Video Guide\\n\",\n \"The notebook comes with a video guide that you can follow along\\n\",\n \"\\n\",\n \"![](\\\"https://portkey.ai/blog/content/images/size/w1600/2024/06/CleanShot-2024-06-06-at-21.19-1.png\\\")
![](\\\"https://portkey.ai/blog/content/images/size/w1600/2024/06/lmsys-2.gif\\\")
\"\n ],\n \"metadata\": {\n \"id\": \"zH0jLuLi_qlv\"\n }\n },\n {\n \"cell_type\": \"code\",\n \"source\": [\n \"prompt = \\\"If 20 shirts take 5 hours to dry, how much time will 100 shirts take to dry?\\\"\\n\",\n \"\\n\",\n \"print_model_outputs(prompt)\"\n ],\n \"metadata\": {\n \"id\": \"Cf6XZ0dIvwFv\"\n },\n \"execution_count\": null,\n \"outputs\": []\n },\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"### Conclusion\\n\",\n \"\\n\",\n \"With minimal setup and code modifications, Portkey enables you to streamline your LLM evaluation process and easily call 200+ LLMs to find the best model for your specific use case.\\n\",\n \"\\n\",\n \"Explore Portkey further and integrate it into your own projects. Visit the Portkey documentation at https://docs.portkey.ai/ for more information on how to leverage Portkey's capabilities in your workflow.\"\n ],\n \"metadata\": {\n \"id\": \"6FmQrjR__2yo\"\n }\n }\n ]\n}"
},
{
"path": "cookbook/use-cases/Nemotron_GPT_Finetuning_Portkey.ipynb",
"content": "{\n \"nbformat\": 4,\n \"nbformat_minor\": 0,\n \"metadata\": {\n \"colab\": {\n \"provenance\": []\n },\n \"kernelspec\": {\n \"name\": \"python3\",\n \"display_name\": \"Python 3\"\n },\n \"language_info\": {\n \"name\": \"python\"\n }\n },\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"source\": [\n \"