@genkit-ai/vertexai/lib/modelgarden/openai_compatibility.mjs.map

Genkit AI framework plugin for Google Cloud Vertex AI APIs including Gemini APIs, Imagen, and more.

{"version":3,"sources":["../../src/modelgarden/openai_compatibility.ts"],"sourcesContent":["/**\n * Copyright 2024 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport { Genkit, Message, StreamingCallback, z } from 'genkit';\nimport {\n  GenerateResponseChunkData,\n  GenerateResponseData,\n  GenerationCommonConfigSchema,\n  ModelAction,\n  ModelReference,\n  type CandidateData,\n  type GenerateRequest,\n  type MessageData,\n  type Part,\n  type Role,\n  type ToolDefinition,\n  type ToolRequestPart,\n} from 'genkit/model';\nimport OpenAI from 'openai';\nimport {\n  type ChatCompletion,\n  type ChatCompletionChunk,\n  type ChatCompletionContentPart,\n  type ChatCompletionCreateParamsNonStreaming,\n  type ChatCompletionMessageParam,\n  type ChatCompletionMessageToolCall,\n  type ChatCompletionRole,\n  type ChatCompletionTool,\n  type CompletionChoice,\n} from 'openai/resources/index.mjs';\n\n/**\n * See https://platform.openai.com/docs/api-reference/chat/create.\n */\nexport const OpenAIConfigSchema = GenerationCommonConfigSchema.extend({\n  // TODO: topK is not supported and some of the other common config options\n  // have different names in the above doc. Eg: max_completion_tokens.\n  // Update to use the parameters in above doc.\n  frequencyPenalty: z\n    .number()\n    .min(-2)\n    .max(2)\n    .describe(\n      'Positive values penalize new tokens based on their ' +\n        \"existing frequency in the text so far, decreasing the model's \" +\n        'likelihood to repeat the same line verbatim.'\n    )\n    .optional(),\n  logitBias: z\n    .record(\n      z.string().describe('Token string.'),\n      z.number().min(-100).max(100).describe('Associated bias value.')\n    )\n    .describe(\n      'Controls the likelihood of specified tokens appearing ' +\n        'in the generated output. Map of tokens to an associated bias ' +\n        'value from -100 (which will in most cases block that token ' +\n        'from being generated) to 100 (exclusive selection of the ' +\n        'token which makes it more likely to be generated). Moderate ' +\n        'values like -1 and 1 will change the probability of a token ' +\n        'being selected to a lesser degree.'\n    )\n    .optional(),\n  logProbs: z\n    .boolean()\n    .describe(\n      'Whether to return log probabilities of the output tokens or not.'\n    )\n    .optional(),\n  presencePenalty: z\n    .number()\n    .min(-2)\n    .max(2)\n    .describe(\n      'Positive values penalize new tokens based on whether ' +\n        \"they appear in the text so far, increasing the model's \" +\n        'likelihood to talk about new topics.'\n    )\n    .optional(),\n  seed: z\n    .number()\n    .int()\n    .describe(\n      'If specified, the system will make a best effort to sample ' +\n        'deterministically, such that repeated requests with the same seed ' +\n        'and parameters should return the same result. Determinism is not ' +\n        'guaranteed, and you should refer to the system_fingerprint response ' +\n        'parameter to monitor changes in the backend.'\n    )\n    .optional(),\n  topLogProbs: z\n    .number()\n    .int()\n    .min(0)\n    .max(20)\n    .describe(\n      'An integer specifying the number of most likely tokens to ' +\n        'return at each token position, each with an associated log ' +\n        'probability. logprobs must be set to true if this parameter is used.'\n    )\n    .optional(),\n  user: z\n    .string()\n    .describe(\n      'A unique identifier representing your end-user to monitor and detect abuse.'\n    )\n    .optional(),\n});\n\nexport function toOpenAIRole(role: Role): ChatCompletionRole {\n  switch (role) {\n    case 'user':\n      return 'user';\n    case 'model':\n      return 'assistant';\n    case 'system':\n      return 'system';\n    case 'tool':\n      return 'tool';\n    default:\n      throw new Error(`role ${role} doesn't map to an OpenAI role.`);\n  }\n}\n\nfunction toOpenAiTool(tool: ToolDefinition): ChatCompletionTool {\n  return {\n    type: 'function',\n    function: {\n      name: tool.name,\n      parameters: tool.inputSchema || undefined,\n    },\n  };\n}\n\nexport function toOpenAiTextAndMedia(part: Part): ChatCompletionContentPart {\n  if (part.text) {\n    return {\n      type: 'text',\n      text: part.text,\n    };\n  } else if (part.media) {\n    return {\n      type: 'image_url',\n      image_url: {\n        url: part.media.url,\n      },\n    };\n  }\n  throw Error(\n    `Unsupported genkit part fields encountered for current message role: ${JSON.stringify(part)}.`\n  );\n}\n\nexport function toOpenAiMessages(\n  messages: MessageData[]\n): ChatCompletionMessageParam[] {\n  const openAiMsgs: ChatCompletionMessageParam[] = [];\n  for (const message of messages) {\n    const msg = new Message(message);\n    const role = toOpenAIRole(message.role);\n    switch (role) {\n      case 'user':\n        openAiMsgs.push({\n          role: role,\n          content: msg.content.map((part) => toOpenAiTextAndMedia(part)),\n        });\n        break;\n      case 'system':\n        openAiMsgs.push({\n          role: role,\n          content: msg.text,\n        });\n        break;\n      case 'assistant': {\n        const toolCalls: ChatCompletionMessageToolCall[] = msg.content\n          .filter(\n            (\n              part\n            ): part is Part & {\n              toolRequest: NonNullable<Part['toolRequest']>;\n            } => Boolean(part.toolRequest)\n          )\n          .map((part) => ({\n            id: part.toolRequest.ref ?? '',\n            type: 'function',\n            function: {\n              name: part.toolRequest.name,\n              arguments: JSON.stringify(part.toolRequest.input),\n            },\n          }));\n        if (toolCalls.length > 0) {\n          openAiMsgs.push({\n            role: role,\n            tool_calls: toolCalls,\n          });\n        } else {\n          openAiMsgs.push({\n            role: role,\n            content: msg.text,\n          });\n        }\n        break;\n      }\n      case 'tool': {\n        const toolResponseParts = msg.toolResponseParts();\n        toolResponseParts.map((part) => {\n          openAiMsgs.push({\n            role: role,\n            tool_call_id: part.toolResponse.ref ?? '',\n            content:\n              typeof part.toolResponse.output === 'string'\n                ? part.toolResponse.output\n                : JSON.stringify(part.toolResponse.output),\n          });\n        });\n        break;\n      }\n    }\n  }\n  return openAiMsgs;\n}\n\nconst finishReasonMap: Record<\n  CompletionChoice['finish_reason'] | 'tool_calls',\n  CandidateData['finishReason']\n> = {\n  length: 'length',\n  stop: 'stop',\n  tool_calls: 'stop',\n  content_filter: 'blocked',\n};\n\nexport function fromOpenAiToolCall(\n  toolCall:\n    | ChatCompletionMessageToolCall\n    | ChatCompletionChunk.Choice.Delta.ToolCall\n): ToolRequestPart {\n  if (!toolCall.function) {\n    throw Error(\n      `Unexpected openAI chunk choice. tool_calls was provided but one or more tool_calls is missing.`\n    );\n  }\n  const f = toolCall.function;\n  return {\n    toolRequest: {\n      name: f.name!,\n      ref: toolCall.id,\n      input: f.arguments ? JSON.parse(f.arguments) : f.arguments,\n    },\n  };\n}\n\nexport function fromOpenAiChoice(\n  choice: ChatCompletion.Choice,\n  jsonMode = false\n): CandidateData {\n  const toolRequestParts = choice.message.tool_calls?.map(fromOpenAiToolCall);\n  return {\n    index: choice.index,\n    finishReason: finishReasonMap[choice.finish_reason] || 'other',\n    message: {\n      role: 'model',\n      content: toolRequestParts\n        ? // Note: Not sure why I have to cast here exactly.\n          // Otherwise it thinks toolRequest must be 'undefined' if provided\n          (toolRequestParts as ToolRequestPart[])\n        : [\n            jsonMode\n              ? { data: JSON.parse(choice.message.content!) }\n              : { text: choice.message.content! },\n          ],\n    },\n    custom: {},\n  };\n}\n\nexport function fromOpenAiChunkChoice(\n  choice: ChatCompletionChunk.Choice,\n  jsonMode = false\n): CandidateData {\n  const toolRequestParts = choice.delta.tool_calls?.map(fromOpenAiToolCall);\n  return {\n    index: choice.index,\n    finishReason: choice.finish_reason\n      ? finishReasonMap[choice.finish_reason] || 'other'\n      : 'unknown',\n    message: {\n      role: 'model',\n      content: toolRequestParts\n        ? (toolRequestParts as ToolRequestPart[])\n        : [\n            jsonMode\n              ? { data: JSON.parse(choice.delta.content!) }\n              : { text: choice.delta.content! },\n          ],\n    },\n    custom: {},\n  };\n}\n\nexport function toRequestBody(\n  model: ModelReference<typeof OpenAIConfigSchema>,\n  request: GenerateRequest<typeof OpenAIConfigSchema>\n) {\n  const openAiMessages = toOpenAiMessages(request.messages);\n  const mappedModelName =\n    request.config?.version || model.version || model.name;\n  const body = {\n    model: mappedModelName,\n    messages: openAiMessages,\n    temperature: request.config?.temperature,\n    max_tokens: request.config?.maxOutputTokens,\n    top_p: request.config?.topP,\n    stop: request.config?.stopSequences,\n    frequency_penalty: request.config?.frequencyPenalty,\n    logit_bias: request.config?.logitBias,\n    logprobs: request.config?.logProbs,\n    presence_penalty: request.config?.presencePenalty,\n    seed: request.config?.seed,\n    top_logprobs: request.config?.topLogProbs,\n    user: request.config?.user,\n    tools: request.tools?.map(toOpenAiTool),\n    n: request.candidates,\n  } as ChatCompletionCreateParamsNonStreaming;\n  const response_format = request.output?.format;\n  if (response_format) {\n    if (\n      response_format === 'json' &&\n      model.info?.supports?.output?.includes('json')\n    ) {\n      body.response_format = {\n        type: 'json_object',\n      };\n    } else if (\n      response_format === 'text' &&\n      model.info?.supports?.output?.includes('text')\n    ) {\n      // this is default format, don't need to set it\n      // body.response_format = {\n      //   type: 'text',\n      // };\n    } else {\n      throw new Error(`${response_format} format is not supported currently`);\n    }\n  }\n  for (const key in body) {\n    if (!body[key] || (Array.isArray(body[key]) && !body[key].length))\n      delete body[key];\n  }\n  return body;\n}\n\nexport function openaiCompatibleModel<C extends typeof OpenAIConfigSchema>(\n  ai: Genkit,\n  model: ModelReference<any>,\n  clientFactory: (request: GenerateRequest<C>) => Promise<OpenAI>\n): ModelAction<C> {\n  const modelId = model.name;\n  if (!model) throw new Error(`Unsupported model: ${name}`);\n\n  return ai.defineModel(\n    {\n      name: modelId,\n      ...model.info,\n      configSchema: model.configSchema,\n    },\n    async (\n      request: GenerateRequest<C>,\n      sendChunk?: StreamingCallback<GenerateResponseChunkData>\n    ): Promise<GenerateResponseData> => {\n      let response: ChatCompletion;\n      const client = await clientFactory(request);\n      const body = toRequestBody(model, request);\n      if (sendChunk) {\n        const stream = client.beta.chat.completions.stream({\n          ...body,\n          stream: true,\n        });\n        for await (const chunk of stream) {\n          chunk.choices?.forEach((chunk) => {\n            const c = fromOpenAiChunkChoice(chunk);\n            sendChunk({\n              index: c.index,\n              content: c.message.content,\n            });\n          });\n        }\n        response = await stream.finalChatCompletion();\n      } else {\n        response = await client.chat.completions.create(body);\n      }\n      return {\n        candidates: response.choices.map((c) =>\n          fromOpenAiChoice(c, request.output?.format === 'json')\n        ),\n        usage: {\n          inputTokens: response.usage?.prompt_tokens,\n          outputTokens: response.usage?.completion_tokens,\n          totalTokens: response.usage?.total_tokens,\n        },\n        custom: response,\n      };\n    }\n  );\n}\n"],"mappings":"AAgBA,SAAiB,SAA4B,SAAS;AACtD;AAAA,EAGE;AAAA,OAUK;AAiBA,MAAM,qBAAqB,6BAA6B,OAAO;AAAA;AAAA;AAAA;AAAA,EAIpE,kBAAkB,EACf,OAAO,EACP,IAAI,EAAE,EACN,IAAI,CAAC,EACL;AAAA,IACC;AAAA,EAGF,EACC,SAAS;AAAA,EACZ,WAAW,EACR;AAAA,IACC,EAAE,OAAO,EAAE,SAAS,eAAe;AAAA,IACnC,EAAE,OAAO,EAAE,IAAI,IAAI,EAAE,IAAI,GAAG,EAAE,SAAS,wBAAwB;AAAA,EACjE,EACC;AAAA,IACC;AAAA,EAOF,EACC,SAAS;AAAA,EACZ,UAAU,EACP,QAAQ,EACR;AAAA,IACC;AAAA,EACF,EACC,SAAS;AAAA,EACZ,iBAAiB,EACd,OAAO,EACP,IAAI,EAAE,EACN,IAAI,CAAC,EACL;AAAA,IACC;AAAA,EAGF,EACC,SAAS;AAAA,EACZ,MAAM,EACH,OAAO,EACP,IAAI,EACJ;AAAA,IACC;AAAA,EAKF,EACC,SAAS;AAAA,EACZ,aAAa,EACV,OAAO,EACP,IAAI,EACJ,IAAI,CAAC,EACL,IAAI,EAAE,EACN;AAAA,IACC;AAAA,EAGF,EACC,SAAS;AAAA,EACZ,MAAM,EACH,OAAO,EACP;AAAA,IACC;AAAA,EACF,EACC,SAAS;AACd,CAAC;AAEM,SAAS,aAAa,MAAgC;AAC3D,UAAQ,MAAM;AAAA,IACZ,KAAK;AACH,aAAO;AAAA,IACT,KAAK;AACH,aAAO;AAAA,IACT,KAAK;AACH,aAAO;AAAA,IACT,KAAK;AACH,aAAO;AAAA,IACT;AACE,YAAM,IAAI,MAAM,QAAQ,IAAI,iCAAiC;AAAA,EACjE;AACF;AAEA,SAAS,aAAa,MAA0C;AAC9D,SAAO;AAAA,IACL,MAAM;AAAA,IACN,UAAU;AAAA,MACR,MAAM,KAAK;AAAA,MACX,YAAY,KAAK,eAAe;AAAA,IAClC;AAAA,EACF;AACF;AAEO,SAAS,qBAAqB,MAAuC;AAC1E,MAAI,KAAK,MAAM;AACb,WAAO;AAAA,MACL,MAAM;AAAA,MACN,MAAM,KAAK;AAAA,IACb;AAAA,EACF,WAAW,KAAK,OAAO;AACrB,WAAO;AAAA,MACL,MAAM;AAAA,MACN,WAAW;AAAA,QACT,KAAK,KAAK,MAAM;AAAA,MAClB;AAAA,IACF;AAAA,EACF;AACA,QAAM;AAAA,IACJ,wEAAwE,KAAK,UAAU,IAAI,CAAC;AAAA,EAC9F;AACF;AAEO,SAAS,iBACd,UAC8B;AAC9B,QAAM,aAA2C,CAAC;AAClD,aAAW,WAAW,UAAU;AAC9B,UAAM,MAAM,IAAI,QAAQ,OAAO;AAC/B,UAAM,OAAO,aAAa,QAAQ,IAAI;AACtC,YAAQ,MAAM;AAAA,MACZ,KAAK;AACH,mBAAW,KAAK;AAAA,UACd;AAAA,UACA,SAAS,IAAI,QAAQ,IAAI,CAAC,SAAS,qBAAqB,IAAI,CAAC;AAAA,QAC/D,CAAC;AACD;AAAA,MACF,KAAK;AACH,mBAAW,KAAK;AAAA,UACd;AAAA,UACA,SAAS,IAAI;AAAA,QACf,CAAC;AACD;AAAA,MACF,KAAK,aAAa;AAChB,cAAM,YAA6C,IAAI,QACpD;AAAA,UACC,CACE,SAGG,QAAQ,KAAK,WAAW;AAAA,QAC/B,EACC,IAAI,CAAC,UAAU;AAAA,UACd,IAAI,KAAK,YAAY,OAAO;AAAA,UAC5B,MAAM;AAAA,UACN,UAAU;AAAA,YACR,MAAM,KAAK,YAAY;AAAA,YACvB,WAAW,KAAK,UAAU,KAAK,YAAY,KAAK;AAAA,UAClD;AAAA,QACF,EAAE;AACJ,YAAI,UAAU,SAAS,GAAG;AACxB,qBAAW,KAAK;AAAA,YACd;AAAA,YACA,YAAY;AAAA,UACd,CAAC;AAAA,QACH,OAAO;AACL,qBAAW,KAAK;AAAA,YACd;AAAA,YACA,SAAS,IAAI;AAAA,UACf,CAAC;AAAA,QACH;AACA;AAAA,MACF;AAAA,MACA,KAAK,QAAQ;AACX,cAAM,oBAAoB,IAAI,kBAAkB;AAChD,0BAAkB,IAAI,CAAC,SAAS;AAC9B,qBAAW,KAAK;AAAA,YACd;AAAA,YACA,cAAc,KAAK,aAAa,OAAO;AAAA,YACvC,SACE,OAAO,KAAK,aAAa,WAAW,WAChC,KAAK,aAAa,SAClB,KAAK,UAAU,KAAK,aAAa,MAAM;AAAA,UAC/C,CAAC;AAAA,QACH,CAAC;AACD;AAAA,MACF;AAAA,IACF;AAAA,EACF;AACA,SAAO;AACT;AAEA,MAAM,kBAGF;AAAA,EACF,QAAQ;AAAA,EACR,MAAM;AAAA,EACN,YAAY;AAAA,EACZ,gBAAgB;AAClB;AAEO,SAAS,mBACd,UAGiB;AACjB,MAAI,CAAC,SAAS,UAAU;AACtB,UAAM;AAAA,MACJ;AAAA,IACF;AAAA,EACF;AACA,QAAM,IAAI,SAAS;AACnB,SAAO;AAAA,IACL,aAAa;AAAA,MACX,MAAM,EAAE;AAAA,MACR,KAAK,SAAS;AAAA,MACd,OAAO,EAAE,YAAY,KAAK,MAAM,EAAE,SAAS,IAAI,EAAE;AAAA,IACnD;AAAA,EACF;AACF;AAEO,SAAS,iBACd,QACA,WAAW,OACI;AACf,QAAM,mBAAmB,OAAO,QAAQ,YAAY,IAAI,kBAAkB;AAC1E,SAAO;AAAA,IACL,OAAO,OAAO;AAAA,IACd,cAAc,gBAAgB,OAAO,aAAa,KAAK;AAAA,IACvD,SAAS;AAAA,MACP,MAAM;AAAA,MACN,SAAS;AAAA;AAAA;AAAA,QAGJ;AAAA,UACD;AAAA,QACE,WACI,EAAE,MAAM,KAAK,MAAM,OAAO,QAAQ,OAAQ,EAAE,IAC5C,EAAE,MAAM,OAAO,QAAQ,QAAS;AAAA,MACtC;AAAA,IACN;AAAA,IACA,QAAQ,CAAC;AAAA,EACX;AACF;AAEO,SAAS,sBACd,QACA,WAAW,OACI;AACf,QAAM,mBAAmB,OAAO,MAAM,YAAY,IAAI,kBAAkB;AACxE,SAAO;AAAA,IACL,OAAO,OAAO;AAAA,IACd,cAAc,OAAO,gBACjB,gBAAgB,OAAO,aAAa,KAAK,UACzC;AAAA,IACJ,SAAS;AAAA,MACP,MAAM;AAAA,MACN,SAAS,mBACJ,mBACD;AAAA,QACE,WACI,EAAE,MAAM,KAAK,MAAM,OAAO,MAAM,OAAQ,EAAE,IAC1C,EAAE,MAAM,OAAO,MAAM,QAAS;AAAA,MACpC;AAAA,IACN;AAAA,IACA,QAAQ,CAAC;AAAA,EACX;AACF;AAEO,SAAS,cACd,OACA,SACA;AACA,QAAM,iBAAiB,iBAAiB,QAAQ,QAAQ;AACxD,QAAM,kBACJ,QAAQ,QAAQ,WAAW,MAAM,WAAW,MAAM;AACpD,QAAM,OAAO;AAAA,IACX,OAAO;AAAA,IACP,UAAU;AAAA,IACV,aAAa,QAAQ,QAAQ;AAAA,IAC7B,YAAY,QAAQ,QAAQ;AAAA,IAC5B,OAAO,QAAQ,QAAQ;AAAA,IACvB,MAAM,QAAQ,QAAQ;AAAA,IACtB,mBAAmB,QAAQ,QAAQ;AAAA,IACnC,YAAY,QAAQ,QAAQ;AAAA,IAC5B,UAAU,QAAQ,QAAQ;AAAA,IAC1B,kBAAkB,QAAQ,QAAQ;AAAA,IAClC,MAAM,QAAQ,QAAQ;AAAA,IACtB,cAAc,QAAQ,QAAQ;AAAA,IAC9B,MAAM,QAAQ,QAAQ;AAAA,IACtB,OAAO,QAAQ,OAAO,IAAI,YAAY;AAAA,IACtC,GAAG,QAAQ;AAAA,EACb;AACA,QAAM,kBAAkB,QAAQ,QAAQ;AACxC,MAAI,iBAAiB;AACnB,QACE,oBAAoB,UACpB,MAAM,MAAM,UAAU,QAAQ,SAAS,MAAM,GAC7C;AACA,WAAK,kBAAkB;AAAA,QACrB,MAAM;AAAA,MACR;AAAA,IACF,WACE,oBAAoB,UACpB,MAAM,MAAM,UAAU,QAAQ,SAAS,MAAM,GAC7C;AAAA,IAKF,OAAO;AACL,YAAM,IAAI,MAAM,GAAG,eAAe,oCAAoC;AAAA,IACxE;AAAA,EACF;AACA,aAAW,OAAO,MAAM;AACtB,QAAI,CAAC,KAAK,GAAG,KAAM,MAAM,QAAQ,KAAK,GAAG,CAAC,KAAK,CAAC,KAAK,GAAG,EAAE;AACxD,aAAO,KAAK,GAAG;AAAA,EACnB;AACA,SAAO;AACT;AAEO,SAAS,sBACd,IACA,OACA,eACgB;AAChB,QAAM,UAAU,MAAM;AACtB,MAAI,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,IAAI,EAAE;AAExD,SAAO,GAAG;AAAA,IACR;AAAA,MACE,MAAM;AAAA,MACN,GAAG,MAAM;AAAA,MACT,cAAc,MAAM;AAAA,IACtB;AAAA,IACA,OACE,SACA,cACkC;AAClC,UAAI;AACJ,YAAM,SAAS,MAAM,cAAc,OAAO;AAC1C,YAAM,OAAO,cAAc,OAAO,OAAO;AACzC,UAAI,WAAW;AACb,cAAM,SAAS,OAAO,KAAK,KAAK,YAAY,OAAO;AAAA,UACjD,GAAG;AAAA,UACH,QAAQ;AAAA,QACV,CAAC;AACD,yBAAiB,SAAS,QAAQ;AAChC,gBAAM,SAAS,QAAQ,CAACA,WAAU;AAChC,kBAAM,IAAI,sBAAsBA,MAAK;AACrC,sBAAU;AAAA,cACR,OAAO,EAAE;AAAA,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