One endpoint per agent.

Each saved flow becomes a callable endpoint. Token-authenticated, typed input vars, configurable response shape (raw, OpenAI ChatCompletion, or your own JSON template).

• ✓
  OpenAI-compatible — drop-in for any OpenAI client by swapping base_url.
• ✓
  Streaming via Server-Sent Events or JSON Lines.
• ✓
  Bearer-token auth per organization.
• ✓
  Schema-validated input from your flow's Input nodes.
• ✓
  Per-agent dynamic docs when you sign in.

curl https://trucopilot.com/api/llm/{org_code}/flows/{slug}/run \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "input": { "question": "How do I reset my password?" } }'

const r = await fetch(
  "https://trucopilot.com/api/llm/{org_code}/flows/{slug}/run",
  {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${TOKEN}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ input: { question: "..." } }),
  }
);
const data = await r.json();

import requests

r = requests.post(
    "https://trucopilot.com/api/llm/{org_code}/flows/{slug}/run",
    headers={"Authorization": f"Bearer {TOKEN}"},
    json={"input": {"question": "..."}},
)
print(r.json())

from openai import OpenAI

client = OpenAI(
    base_url="https://trucopilot.com/api/llm/{org_code}/flows/{slug}",
    api_key=TOKEN,
)

resp = client.chat.completions.create(
    model="trucopilot-flow",
    messages=[{"role": "user", "content": "..."}],
)
print(resp.choices[0].message.content)

Replace {org_code} and {slug} with values from your dashboard.