import { tool } from "@opencode-ai/plugin";

const internalBaseUrl =
  process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";

export default tool({
  description:
    "维护已验证、可复用、非敏感的 workflow 或方法模式。支持 list、write_skill、remove_skill、append_pattern、remove_pattern、write_reference、remove_reference、write_script、remove_script。",
  args: {
    action: tool.schema
      .enum([
        "list",
        "write_skill",
        "remove_skill",
        "append_pattern",
        "remove_pattern",
        "write_reference",
        "remove_reference",
        "write_script",
        "remove_script",
      ])
      .describe("Skill maintenance operation."),
    skill_path: tool.schema
      .string()
      .describe(
        "Target skill directory path relative to .opencode/skills. Use 'workflow' for the workflow index, or '__root__' for the root skills index.",
      ),
    pattern: tool.schema.string().optional().describe("Pattern text used by append_pattern."),
    target_id: tool.schema
      .string()
      .optional()
      .describe("Stable learned pattern id used by remove_pattern."),
    file_path: tool.schema
      .string()
      .optional()
      .describe("Asset file path. For references use references/*.md; for scripts use scripts/*.py."),
    content: tool.schema
      .string()
      .optional()
      .describe("Content used by write_skill, write_reference, or write_script."),
  },
  async execute(args, context) {
    const response = await fetch(
      `${internalBaseUrl}/internal/tools/skill-manager`,
      {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          "x-agent-internal-token": internalToken,
        },
        body: JSON.stringify({
          ...args,
          session_id: context.sessionID,
        }),
      },
    );
    const text = await response.text();
    if (!response.ok) {
      throw new Error(text);
    }
    return text;
  },
});