Claude工具调用：我如何赋予AI智能体真实能力

const response = await anthropic.messages.create({
  model: "claude-haiku-4-5-20251001",
  max_tokens: 1024,
  tools: [
    {
      name: "check_court_availability",
      description:
        "Check if a court is available at a given date, time, and duration",
      input_schema: {
        type: "object",
        properties: {
          date: {
            type: "string",
            description: "Date in YYYY-MM-DD format",
          },
          time: {
            type: "string",
            description: "Start time in HH:MM format (24h)",
          },
          duration_minutes: {
            type: "number",
            description: "Duration of the booking in minutes",
          },
        },
        required: ["date", "time", "duration_minutes"],
      },
    },
  ],
  messages: [
    {
      role: "user",
      content: "Is a court available tomorrow at 2pm for 90 minutes?",
    },
  ],
});

if (response.stop_reason === "tool_use") {
  const toolUseBlock = response.content.find(
    (block): block is Anthropic.ToolUseBlock => block.type === "tool_use"
  );

  if (!toolUseBlock) throw new Error("Expected tool_use block");

  // Run your actual function
  const toolResult = await checkCourtAvailability(
    toolUseBlock.input as CourtAvailabilityInput
  );

  // Step 3: Return the result to Claude
  const finalResponse = await anthropic.messages.create({
    model: "claude-haiku-4-5-20251001",
    max_tokens: 1024,
    tools: [
      /* same tools as before */
    ],
    messages: [
      {
        role: "user",
        content: "Is a court available tomorrow at 2pm for 90 minutes?",
      },
      { role: "assistant", content: response.content },
      {
        role: "user",
        content: [
          {
            type: "tool_result",
            tool_use_id: toolUseBlock.id,
            content: JSON.stringify(toolResult),
          },
        ],
      },
    ],
  });

  // finalResponse.content now has the text answer
}

// workers/availability-checker.ts
import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic();

const AVAILABILITY_TOOLS: Anthropic.Tool[] = [
  {
    name: "check_availability",
    description:
      "Check court availability for a date, time, and group size. Returns available courts and their prices.",
    input_schema: {
      type: "object",
      properties: {
        date: { type: "string", description: "YYYY-MM-DD" },
        start_time: { type: "string", description: "HH:MM (24h)" },
        duration_minutes: { type: "number" },
        players: { type: "number", description: "Number of players" },
      },
      required: ["date", "start_time", "duration_minutes"],
    },
  },
  {
    name: "get_pricing",
    description:
      "Get current pricing for court rentals and open play sessions",
    input_schema: {
      type: "object",
      properties: {
        session_type: {
          type: "string",
          enum: ["court_rental", "open_play", "clinics"],
        },
      },
      required: ["session_type"],
    },
  },
];

export async function handleInquiry(
  userMessage: string,
  env: Env
): Promise<string> {
  const messages: Anthropic.MessageParam[] = [
    { role: "user", content: userMessage },
  ];

  // Agentic loop — keep going until stop_reason is "end_turn"
  while (true) {
    const response = await anthropic.messages.create({
      model: "claude-haiku-4-5-20251001",
      max_tokens: 512,
      system:
        "You are the booking assistant for Pickleland, a pickleball facility in Pflugerville, TX. " +
        "Use the tools to look up real availability and pricing. Never make up availability or prices. " +
        "If the customer wants to book, direct them to pickleland.com/book.",
      tools: AVAILABILITY_TOOLS,
      messages,
    });

    // Push the assistant's response into message history
    messages.push({ role: "assistant", content: response.content });

    if (response.stop_reason === "end_turn") {
      const textBlock = response.content.find(
        (b): b is Anthropic.TextBlock => b.type === "text"
      );
      return (
        textBlock?.text ??
        "I wasn't able to answer that — please call us directly."
      );
    }

    if (response.stop_reason === "tool_use") {
      // Process ALL tool calls in this response (Claude can request multiple at once)
      const toolResults: Anthropic.ToolResultBlockParam[] = [];

      for (const block of response.content) {
        if (block.type !== "tool_use") continue;

        let result: unknown;

        switch (block.name) {
          case "check_availability":
            result = await checkAvailability(
              block.input as AvailabilityInput,
              env
            );
            break;
          case "get_pricing":
            result = await getPricing(block.input as PricingInput, env);
            break;
          default:
            result = { error: `Unknown tool: ${block.name}` };
        }

        toolResults.push({
          type: "tool_result",
          tool_use_id: block.id,
          content: JSON.stringify(result),
        });
      }

      // Return all tool results in a single user message
      messages.push({ role: "user", content: toolResults });
    }
  }
}

const RESEARCH_TOOLS: Anthropic.Tool[] = [
  {
    name: "search_company",
    description: "Search for information about a company",
    input_schema: {
      type: "object",
      properties: {
        company_name: { type: "string" },
        website: { type: "string", description: "Company website if known" },
      },
      required: ["company_name"],
    },
  },
  {
    name: "save_research",
    description:
      "Save the completed research summary to Airtable. Call this when all research is complete.",
    input_schema: {
      type: "object",
      properties: {
        company_summary: { type: "string" },
        estimated_size: {
          type: "string",
          enum: ["1-10", "11-50", "51-200", "200+"],
        },
        likely_use_case: { type: "string" },
        priority: { type: "string", enum: ["high", "medium", "low"] },
        notes: { type: "string" },
      },
      required: [
        "company_summary",
        "estimated_size",
        "likely_use_case",
        "priority",
      ],
    },
  },
];