Build on Virideon.

curl -X POST https://your-tenant.virideon.ai/api/v1/ai-search \
  -H "Authorization: Bearer $AMBIENTOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What did the team commit to in the Q3 audit kickoff?",
    "profile": "executive_briefing",
    "stream": true
  }'

# Returns an SSE stream of decomposition, tool calls,
# synthesis, and a final cited answer.

import os, requests

resp = requests.post(
    "https://your-tenant.virideon.ai/api/v1/ai-search",
    headers={"Authorization": f"Bearer {os.environ['AMBIENTOS_API_KEY']}"},
    json={
        "query": "What did the team commit to in the Q3 audit kickoff?",
        "profile": "executive_briefing",
        "stream": False,
    },
)
answer = resp.json()

const resp = await fetch(
  "https://your-tenant.virideon.ai/api/v1/ai-search",
  {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.AMBIENTOS_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      query: "What did the team commit to in the Q3 audit kickoff?",
      profile: "executive_briefing",
      stream: false,
    }),
  }
);
const answer = await resp.json();

curl -X POST https://your-tenant.virideon.ai/api/v1/agent-memory \
  -H "Authorization: Bearer $AMBIENTOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Counsel firewall design pending confirmation as of May 12.",
    "source": { "type": "email", "id": "msg_..." },
    "tags": ["q3-audit", "open-decision"]
  }'

curl -X POST https://your-tenant.virideon.ai/api/v1/ingest/document/text \
  -H "Authorization: Bearer $AMBIENTOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "Q3 Status Review",
    "content": "...",
    "source_type": "document"
  }'

# Triggers async pipeline: chunk → embed → entity extraction
# → identity resolution → graph insertion. Returns a job_id.

{
  "thread_id": "thr_abc123",
  "answer": "The team committed to launching the audit framework by Nov 15, with weekly checkpoints starting Oct 1.",
  "citations": [
    {
      "source_id": "msg_xyz789",
      "source_type": "email",
      "timestamp": "2026-09-15T14:23:00Z",
      "people": ["Sarah Chen", "Marcus Rivera"]
    }
  ],
  "intent": "decision_lookup",
  "profile_used": "executive_briefing"
}

# Every citation traces back to source, time, and person.
# Streaming flows emit intermediate events before final synthesis.