SDK Agents

import {
  AnthropicAgent,
  OpenAIAgent,
  createHttpTool,
  tools,
} from "smthrs";
import { stepCountIs } from "ai";

const claude = new AnthropicAgent({
  model: "claude-fable-5",
  tools,
  instructions: "You are a careful planner.",
  stopWhen: stepCountIs(40),
});

const codex = new OpenAIAgent({
  model: "gpt-5.6-luna",
  tools,
  instructions: "You are a precise implementation agent.",
  stopWhen: stepCountIs(40),
});

/** @jsxImportSource smthrs */
import { AnthropicAgent, createSmithers } from "smthrs";
import { z } from "zod";

const { Workflow, Task, smithers, outputs } = createSmithers({
  input: z.object({ repo: z.string() }),
  plan: z.object({
    summary: z.string(),
    risk: z.enum(["low", "medium", "high"]),
  }),
});

const claude = new AnthropicAgent({
  model: "claude-fable-5",
  instructions: "You are a careful planner. Return structured JSON.",
});

export default smithers((ctx) => (
  <Workflow name="sdk-agent-plan">
    <Task id="plan" output={outputs.plan} agent={claude}>
      {`Analyze ${ctx.input.repo} and propose a migration plan.`}
    </Task>
  </Workflow>
));

import { z } from "zod";

const schema = z.object({
  summary: z.string(),
  risk: z.enum(["low", "medium", "high"]),
});

const result = await claude.generate({
  prompt: "Summarize this change and classify its risk.",
  outputSchema: schema,
  timeout: { totalMs: 60_000 },
});

const parsed = schema.parse(result.output ?? JSON.parse(result.text));

const local = new OpenAIAgent({
  model: "llama-3.1-8b-instruct",
  baseURL: "http://127.0.0.1:8080/v1",
  apiKey: "none",
  tools,
  instructions: "You are a local coding assistant.",
  stopWhen: stepCountIs(40),
});

const gemini = new OpenAIAgent({
  model: "gemini-2.5-flash",
  baseURL: "https://generativelanguage.googleapis.com/v1beta/openai",
  apiKey: process.env.GEMINI_API_KEY,
  api: "chat",
});

const local = new OpenAIAgent({
  model: "llama-3.1-8b-instruct",
  baseURL: "http://127.0.0.1:8080/v1",
  apiKey: "none",
  nativeStructuredOutput: false,
  tools,
  instructions: "You are a local coding assistant.",
  stopWhen: stepCountIs(40),
});

import { createOpenAI } from "@ai-sdk/openai";

const localOpenAI = createOpenAI({
  baseURL: "http://127.0.0.1:8080/v1",
  apiKey: "none",
});

const local = new OpenAIAgent({
  model: localOpenAI("llama-3.1-8b-instruct"),
  tools,
  instructions: "You are a local coding assistant.",
  stopWhen: stepCountIs(40),
});

const http = createHttpTool({
  defaultHeaders: { "user-agent": "smithers-workflow" },
});

const ops = new AnthropicAgent({
  model: "claude-fable-5",
  tools: { http },
  instructions: "Use the HTTP tool only for APIs the workflow explicitly names.",
  stopWhen: stepCountIs(20),
});

import { HermesAgent } from "smthrs";

const hermes = new HermesAgent({
  baseURL: "http://127.0.0.1:5123/v1", // or set HERMES_BASE_URL
  model: "hermes",                      // whatever model id your server advertises
  tools,
  instructions: "You are a careful implementation agent.",
  stopWhen: stepCountIs(40),
});

import { ElizaAgent } from "@smthrs/agent-eliza";

const eliza = new ElizaAgent({
  character: { name: "SupportBot", bio: "Answers product questions." },
  plugins: [],
  settings: { SLACK_BOT_TOKEN: process.env.SLACK_BOT_TOKEN ?? "" },
  model: "eliza",
});

import { AnthropicAgent, createTranscriptionTool } from "@smthrs/agents";

const transcribeAudio = createTranscriptionTool({
  provider: "deepgram", // or "whisper"
  apiKey: process.env.DEEPGRAM_API_KEY!,
});

const agent = new AnthropicAgent({
  model: "claude-fable-5",
  tools: { transcribeAudio },
  instructions: "Transcribe audio clips and summarize the result.",
});

const useCli = process.env.USE_CLI_AGENTS === "1";

export const claude = useCli
  ? new ClaudeCodeAgent({
      model: "claude-fable-5",
      dangerouslySkipPermissions: true,
    })
  : new AnthropicAgent({
      model: "claude-fable-5",
      tools,
      instructions: "You are a careful planner.",
      stopWhen: stepCountIs(40),
    });