One reviewed answer from several AI models.

How it works

Run independent tasks in parallel.

Send numbered or bulleted tasks that can be checked separately. Fusion assigns them to available cloud or local models. A separate model reviews the work and returns one final answer. Unavailable services are skipped.

• Research: compare sources and tradeoffs.
• Implementation: assign small changes, then have another model review them.
• Agents: receive one response through the same API, with no new SDK.

curl "https://api.tekiz.ai/v1/chat/completions" \
  -H "Authorization: Bearer sk_tekiz_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tekizai/fusion",
    "messages": [
      {"role": "user", "content": "1. Compare the launch options against cost and delivery risk.\n2. Identify the two material implementation risks.\n3. Recommend one option with a concise rationale."}
    ]
  }'

For existing agents

Call Fusion from an existing agent.

Gateway-style clients can attach tekizai:fusion without forwarding unknown tool markers downstream. Set tool_choice to required for explicit invocation, and use a short list when work can run independently.

{
  "model": "tekizai/frontier",
  "messages": [
    {"role": "user", "content": "1. Summarize the strongest case for this launch.\n2. Summarize the strongest case against it.\n3. Recommend a next step with the decision criteria."}
  ],
  "tools": [{"type": "tekizai:fusion"}],
  "tool_choice": "required"
}

Access and privacy

Use only models you are allowed to use.

Hosted requests use TEKIZ.AI cloud models or approved Community nodes. Personal provider accounts are never shared with other customers.