/*
 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */

import { llmChatCreateChat } from "../../funcs/llmChatCreateChat.js";
import * as operations from "../../models/operations/index.js";
import { formatResult, ToolDefinition } from "../tools.js";

const args = {
  request: operations.CreateChatCompletionRequest$inboundSchema,
};

export const tool$llmChatCreateChat: ToolDefinition<typeof args> = {
  name: "llm-chat-create-chat",
  description: `[Deprecated] Chat completions for OpenAI SDK/client usage

**Deprecated: Use the Responses API (\`/api/v1/llm/responses\`) instead.** OpenAI-compatible chat completion endpoint designed for use with the official OpenAI client libraries (Python, Node.js, etc.). Supports both streaming and non-streaming requests by setting the \`stream\` parameter. This endpoint handles the request/response directly and returns standard OpenAI-formatted responses. Use this when integrating with existing OpenAI client code. Note: The actual handler is registered at the Bun server level for optimal performance with the OpenAI SDK streaming format.`,
  args,
  tool: async (client, args, ctx) => {
    const [result, apiCall] = await llmChatCreateChat(
      client,
      args.request,
      { fetchOptions: { signal: ctx.signal } },
    ).$inspect();

    if (!result.ok) {
      return {
        content: [{ type: "text", text: result.error.message }],
        isError: true,
      };
    }

    const value = result.value;

    return formatResult(value, apiCall);
  },
};