Tool and System Prompt Reflection

🔌 Enhance your LLMs with flexible, runtime-configurable tools and system prompts using agent-swarm-kit. The library allows you to define tools with dynamic interfaces, enabling agents to adapt their functionality based on context or agent-specific requirements. This makes it easy to integrate specialized capabilities, like fetching real-time data or generating reports without additional tool arguments, with minimal boilerplate. 🛠️

addTool({
  toolName: ToolName.FetchShortRangeEmaSignals,
  type: "function",
  call: async ({ toolId, clientId, agentName, isLast }) => {
    const symbol = ioc.signalMetaService.getSymbolForAgent(agentName);
    const content =
      await ioc.shortRangeMathService.generateShortRangeReport(symbol);
    await commitToolOutput(toolId, content, clientId, agentName);
    if (isLast) {
      await execute("", clientId, agentName);
    }
  },
  function: (_, agentName) => {
    const displayName = ioc.signalMetaService.getDispayNameForAgent(agentName);
    return {
      name: ToolName.FetchShortRangeEmaSignals,
      description: `Fetch a short range EMA signals table for ${displayName}.`,
      parameters: {
        type: "object",
        properties: {},
        required: [],
      },
    };
  },
});

Example: Below is a tool that dynamically fetches short-range EMA (Exponential Moving Average) signals for a trading agent, with a description tailored to the agent's display name 🌐