Scout

import os

from openai import OpenAI

client = OpenAI(api_key=os.environ["ORCA_API_KEY"], base_url="https://api.orcapods.ai/v1")

scout = client.beta.agents.create(
    name="scout",
    model="orca/openrouter/openai/gpt-5.6-luna",
    instructions=(
        "You are Scout, a research assistant. Answer in a few short paragraphs or a short list.\n"
        "Search the web when the answer depends on facts that change, such as releases, versions, "
        "prices or news, and cite each source with its link.\n"
        "Newer releases may exist than you remember: for anything \"latest\", search without naming a version, "
        "and trust what you find over what you remember.\n"
        "If the sources disagree, or you cannot find an answer, say so instead of guessing."
    ),
    tools=[{"type": "web_search"}],
)
print(scout.id)

import OpenAI from 'openai';

const client = new OpenAI({ apiKey: process.env.ORCA_API_KEY, baseURL: 'https://api.orcapods.ai/v1' });

const scout = await client.beta.agents.create({
  name: 'scout',
  model: 'orca/openrouter/openai/gpt-5.6-luna',
  instructions:
    'You are Scout, a research assistant. Answer in a few short paragraphs or a short list.\n' +
    'Search the web when the answer depends on facts that change, such as releases, versions, ' +
    'prices or news, and cite each source with its link.\n' +
    'Newer releases may exist than you remember: for anything "latest", search without naming a version, ' +
    'and trust what you find over what you remember.\n' +
    'If the sources disagree, or you cannot find an answer, say so instead of guessing.',
  tools: [{ type: 'web_search' }],
});
console.log(scout.id);

python3 --version    # 3.10 or later
python3 -m venv .venv
.venv/bin/pip install openai==3.13.0

node --version       # 22.18 or later
npm init -y && npm pkg set type=module
npm install openai@7.15.0

export ORCA_API_KEY=$(orca keys create scout </dev/null)

set -x ORCA_API_KEY (orca keys create scout </dev/null)

import os

from openai import OpenAI

client = OpenAI(api_key=os.environ["ORCA_API_KEY"], base_url="https://api.orcapods.ai/v1")
agents = client.beta.agents

scout = next(agent for agent in agents.list() if agent.name == "scout")
session = agents.sessions.create(agent_id=scout.id, environment={"type": "none"})
try:
    with agents.sessions.stream(session.id, input="What is the latest Node.js LTS release? Cite your source.") as stream:
        for event in stream:
            if event.type == "agent.session.turn.output_text.delta":
                print(event.delta, end="", flush=True)
            elif event.type in ("agent.session.turn.failed", "agent.session.turn.cancelled"):
                print("\nThe turn ended:", event.type)
    print()
finally:
    agents.sessions.delete(session.id)

import OpenAI from 'openai';

const client = new OpenAI({ apiKey: process.env.ORCA_API_KEY, baseURL: 'https://api.orcapods.ai/v1' });
const agents = client.beta.agents;

let scout;
for await (const agent of agents.list()) if (agent.name === 'scout') { scout = agent; break; }
if (!scout) throw new Error('No agent called scout. Copy it first (step 2).');

const session = await agents.sessions.create({ agent_id: scout.id, environment: { type: 'none' } });
try {
  for await (const event of agents.sessions.stream(session.id, { input: 'What is the latest Node.js LTS release? Cite your source.' })) {
    if (event.type === 'agent.session.turn.output_text.delta') process.stdout.write(event.delta);
    else if (event.type === 'agent.session.turn.failed' || event.type === 'agent.session.turn.cancelled') {
      console.log('\nThe turn ended:', event.type);
    }
  }
  console.log();
} finally {
  await agents.sessions.delete(session.id);
}

.venv/bin/python scout.py

node --experimental-strip-types scout.ts