Configure
Agents & models
TL;DR
Agent Planners ships an orchestrator that plans plus six specialist agents — Analytics, Optimization, Creative, Research, Safety and Report — that execute. Every agent runs on whatever model you choose through one built-in AI Gateway, switchable any time on the Agents page.
The agent team
| Agent | Role |
|---|---|
| Orchestrator | Decomposes your goal into a structured, observable plan and delegates steps. |
| Analytics | Read-only analysis across Google Ads, GA4, BigQuery and a Python sandbox. |
| Optimization | Campaign, keyword, budget, PMax and RSA mutations (approval-gated). |
| Creative | Ad copy, asset descriptions and video scripts. |
| Research | Web research, competitor teardowns and SERP analysis. |
| Safety | Risk checks, stale-state validation and policy verdicts before writes. |
| Report | Summaries and the final readable report. |
Choosing a model per agent
Open the Agents page to see each agent’s description, its tools, and a model dropdown. Set a different model for each agent through the built-in AI Gateway — there’s nothing to install and one key covers every provider.
By default the orchestrator runs on a quality-first planner and the specialists run on a fast, low-cost model, which keeps most of your credit spend cheap. You can override either per organization.
- OpenAI GPT-5.x family (incl. Pro and mini tiers).
- Anthropic Claude (Opus, Sonnet, Haiku).
- Google Gemini (Pro, Flash, Flash-Lite).
- DeepSeek, Qwen, GLM, Mistral, Llama, Kimi and more.
Reasoning models ignore the temperature setting; for other models you can tune temperature per agent (default 0.2 for deterministic, structured output).
Picking the right tier
- Keep the orchestrator on a strong model — plan quality drives the whole run.
- Leave specialists on a fast/cheap model for most work; bump a specific one up for hard creative or research tasks.
- Premium reasoning models cost the most credits per token — reserve them for where they pay off.
Frequently asked questions
- Can I use my own model API key?
- Yes, two ways. Model access runs through the built-in AI Gateway by default, so you don’t need a separate provider key — pick any supported model per agent and usage is metered in credits. Or connect your own OpenAI-compatible endpoint via Bring your own model and pay your provider directly instead.
- Does changing a model affect safety?
- No. The approval gate, audit log and stale-state checks are independent of which model an agent runs on.