Agent frameworks

const tools = await setu.tools.search("send a slack message", { format: "openai" });
const res = await openai.chat.completions.create({ model: "gpt-4o", messages, tools });
const msg = res.choices[0].message;
if (msg.tool_calls) {
  const out = await setu.handleToolCalls({ userId, format: "openai", toolCalls: msg.tool_calls });
  messages.push(msg, ...out); // role: "tool" messages
}

const tools = await setu.tools.search("create a linear issue", { format: "anthropic" });
const res = await anthropic.messages.create({ model: "claude-sonnet-5-5", max_tokens: 1024, messages, tools });
const uses = res.content.filter((b) => b.type === "tool_use");
if (uses.length) {
  const results = await setu.handleToolCalls({ userId, format: "anthropic", toolCalls: uses });
  messages.push({ role: "assistant", content: res.content }, { role: "user", content: results });
}

tools = setu.tools.search("create an issue", format="openai")
# ... call your model, then:
tool_messages = setu.handle_tool_calls(user_id, tool_calls)

{ "error": "INVALID_INPUT", "message": "input.title is required" }