Choosing an LLM Model

Your Chat Agent’s intelligence comes from a large language model (LLM). On the Basic tab, you choose which model your agent uses; the choice affects response quality, speed, and how faithfully the agent follows your instructions.

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Provider and Model fields

The model list currently offers GPT-4o, GPT-4.1, and GPT-5; new agents start on GPT-4.1.

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How to select a model

1. Navigate to Agents > Chat Agents in the sidebar and select your agent.
2. Click the Basic tab.
3. Click Start Editing if not already in edit mode.
4. Click the Model dropdown and select your preferred model.
5. Changes save automatically — watch for the Last saved indicator in the tab bar.

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How to choose

• Start with GPT-4.1 for most agents. It’s the default for a reason: the best balance of quality, speed, and cost for typical customer-facing conversations.
• Move up (GPT-5) when the agent mishandles complexity — technical support, multi-step policies, conversations that need real reasoning. Expect slightly slower responses.
• Move down (GPT-4o) when speed is the problem and the conversations are straightforward, FAQ-style exchanges.
• Test before publishing. After changing the model, re-test your key scenarios in the Preview tab (shown for website and SMS agents) — different models interpret the same instructions slightly differently, so a model change is a behavior change.

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Model choice elsewhere in Revve

The chat conversational model above is the one fixed-provider picker. The other model selectors draw from a central catalog of providers and models that Revve administrators maintain — the dropdowns list whatever is currently enabled, so exact options evolve over time. Today the catalog spans multiple providers, including OpenAI, Anthropic, and Google Gemini. Where a selected model supports it, a Reasoning Effort selector appears next to the model dropdown with Low / Medium / High options (default Medium). Higher effort means more thinking before answering — better decisions on complex judgments, at the cost of latency. It’s a good fit for campaign decision models, where decisions are infrequent but consequential.

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What’s Next

• Voice Agent Settings — the AI Model section covers the voice-side model, temperature, and max tokens with tuning guidance.
• Configuring Agent Identity — the name, description, and role that guide whichever model you pick.