@ai-sdk/openai-compatible/dist/internal/index.js

This package provides a foundation for implementing providers that expose an OpenAI-compatible API.

"use strict";
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
  for (var name in all)
    __defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
  if (from && typeof from === "object" || typeof from === "function") {
    for (let key of __getOwnPropNames(from))
      if (!__hasOwnProp.call(to, key) && key !== except)
        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
  }
  return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);

// src/internal/index.ts
var internal_exports = {};
__export(internal_exports, {
  convertToOpenAICompatibleChatMessages: () => convertToOpenAICompatibleChatMessages,
  getResponseMetadata: () => getResponseMetadata,
  mapOpenAICompatibleFinishReason: () => mapOpenAICompatibleFinishReason
});
module.exports = __toCommonJS(internal_exports);

// src/chat/convert-to-openai-compatible-chat-messages.ts
var import_provider = require("@ai-sdk/provider");
var import_provider_utils = require("@ai-sdk/provider-utils");
function getOpenAIMetadata(message) {
  var _a, _b;
  return (_b = (_a = message == null ? void 0 : message.providerOptions) == null ? void 0 : _a.openaiCompatible) != null ? _b : {};
}
function convertToOpenAICompatibleChatMessages(prompt) {
  const messages = [];
  for (const { role, content, ...message } of prompt) {
    const metadata = getOpenAIMetadata({ ...message });
    switch (role) {
      case "system": {
        messages.push({ role: "system", content, ...metadata });
        break;
      }
      case "user": {
        if (content.length === 1 && content[0].type === "text") {
          messages.push({
            role: "user",
            content: content[0].text,
            ...getOpenAIMetadata(content[0])
          });
          break;
        }
        messages.push({
          role: "user",
          content: content.map((part) => {
            const partMetadata = getOpenAIMetadata(part);
            switch (part.type) {
              case "text": {
                return { type: "text", text: part.text, ...partMetadata };
              }
              case "file": {
                if (part.mediaType.startsWith("image/")) {
                  const mediaType = part.mediaType === "image/*" ? "image/jpeg" : part.mediaType;
                  return {
                    type: "image_url",
                    image_url: {
                      url: part.data instanceof URL ? part.data.toString() : `data:${mediaType};base64,${(0, import_provider_utils.convertToBase64)(part.data)}`
                    },
                    ...partMetadata
                  };
                } else {
                  throw new import_provider.UnsupportedFunctionalityError({
                    functionality: `file part media type ${part.mediaType}`
                  });
                }
              }
            }
          }),
          ...metadata
        });
        break;
      }
      case "assistant": {
        let text = "";
        const toolCalls = [];
        for (const part of content) {
          const partMetadata = getOpenAIMetadata(part);
          switch (part.type) {
            case "text": {
              text += part.text;
              break;
            }
            case "tool-call": {
              toolCalls.push({
                id: part.toolCallId,
                type: "function",
                function: {
                  name: part.toolName,
                  arguments: JSON.stringify(part.input)
                },
                ...partMetadata
              });
              break;
            }
          }
        }
        messages.push({
          role: "assistant",
          content: text,
          tool_calls: toolCalls.length > 0 ? toolCalls : void 0,
          ...metadata
        });
        break;
      }
      case "tool": {
        for (const toolResponse of content) {
          const output = toolResponse.output;
          let contentValue;
          switch (output.type) {
            case "text":
            case "error-text":
              contentValue = output.value;
              break;
            case "content":
            case "json":
            case "error-json":
              contentValue = JSON.stringify(output.value);
              break;
          }
          const toolResponseMetadata = getOpenAIMetadata(toolResponse);
          messages.push({
            role: "tool",
            tool_call_id: toolResponse.toolCallId,
            content: contentValue,
            ...toolResponseMetadata
          });
        }
        break;
      }
      default: {
        const _exhaustiveCheck = role;
        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);
      }
    }
  }
  return messages;
}

// src/chat/map-openai-compatible-finish-reason.ts
function mapOpenAICompatibleFinishReason(finishReason) {
  switch (finishReason) {
    case "stop":
      return "stop";
    case "length":
      return "length";
    case "content_filter":
      return "content-filter";
    case "function_call":
    case "tool_calls":
      return "tool-calls";
    default:
      return "unknown";
  }
}

// src/chat/get-response-metadata.ts
function getResponseMetadata({
  id,
  model,
  created
}) {
  return {
    id: id != null ? id : void 0,
    modelId: model != null ? model : void 0,
    timestamp: created != null ? new Date(created * 1e3) : void 0
  };
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
  convertToOpenAICompatibleChatMessages,
  getResponseMetadata,
  mapOpenAICompatibleFinishReason
});
//# sourceMappingURL=index.js.map