# AI Model

## 1. Model Selection

Choose the foundation AI model your agent should use. You can easily change models for your agent whenever you want.
Credal supports models from **OpenAI, Anthropic, Google, and Cerebras**. Compare available models, including measured speed from real-world use, on Credal's [Models page](https://app.credal.ai/model-metadata).

_Your organization or cloud environment may limit which providers or models are available. Reach out to your administrator or support@credal.ai for help._

Use the Preview tab to compare responses before publishing. For side-by-side tests across model configurations, see [Agent Benchmark](https://docs.credal.ai/user-guide/platform/agent-builder/evaluating-your-agent/agent-benchmark).

- **Reasoning:** Multi-step reasoning, task decomposition, and nuanced instructions.
- **Domain fit:** Strengths vary across coding, writing, analysis, research, and images.
- **Context window:** Larger windows handle more prompts, files, data, and conversation history.
- **Tool calling:** Selecting tools, formatting requests, making parallel calls, and handling responses.
- **Speed & cost:** Balance latency, quality, and budget.

:::callout{intent="info" title="Tip: Cerebras for fastest possible responses"}
[**Cerebras**](https://www.cerebras.ai/) runs popular open-source models on custom hardware built for speed, making it useful for customer-facing agents, real-time workflows, and other latency-sensitive use cases.
:::

![The model selection dropdown listing models from OpenAI, Anthropic, Google, and Cerebras](/media/t/75c5dc71-055f-4496-bcaf-6966eeb0b645/p/6557597f-ed9e-4a60-b7d4-61f66fcfad15/a42c8ca3e4242855d538b3c453b028af7bb943f98f48258abb75504470757fce.png/raw)

:::callout{intent="info" title="Automatic Model Fallback"}
If your selected model is deprecated or unavailable, your agent falls back to the current default model for new agents. Review model selections periodically to avoid surprises.

If a model is down or overloaded, Credal can fail over to another model. Check **Audit Logs** to confirm the model and cloud infrastructure used for each request.
:::

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## 2. Creativity

Set how creative your agent should be. For most use cases, use "**precise**" or "**balanced**".

- **Higher creativity** → Better for brainstorming, marketing, and creative writing; more likely to produce unexpected responses.
- **Higher precision** → Better for analysis, research, and accuracy-sensitive work; more likely to stick to provided context.

![The creativity setting with precise, balanced, and creative options](/media/t/75c5dc71-055f-4496-bcaf-6966eeb0b645/p/6557597f-ed9e-4a60-b7d4-61f66fcfad15/b899992d4e602253f06b4b088267f8f76ccb088c28f6ad51d7c7b406e71d9978.png/raw)

***

## 3. Code Interpreter

**Code Interpreter** (Advanced Data Analysis) runs Python inline to:

- Analyze structured datasets (CSV, JSON, etc.)
- Create charts and visualizations

**Note:** Code Interpreter is only available when using OpenAI models.

### Enable

:::frame
![The Code Interpreter toggle in the agent settings](/media/t/75c5dc71-055f-4496-bcaf-6966eeb0b645/p/6557597f-ed9e-4a60-b7d4-61f66fcfad15/0873dc2bae41a6362ed80d5a016d39a9d67fca0294e4628fb2231987067fbc12.png/raw)
:::

### Example Workflow

1. Upload a CSV
2. Ask for a quick summary (row count, columns, nulls)
3. Generate a chart and export cleaned data

### Usage

- Run it on attached documents
- Run it on supported action results, such as a Snowflake query

## Related pages

- [Setting Up An Agent](./platform-agents-configure-steps-agent-setup-page.md)
- [Prompt](./platform-agents-configure-steps-prompt.md)
- [Add Connectors](./platform-add-connectors.md)
- [Agent Collaboration](./platform-agents-configure-steps-agent-collaboration.md)
- [Memory and Feedback](./platform-agents-configure-steps-agent-feedback.md)

# Agent Instructions

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Follow Link headers to discover available agent guidance and tools.
Read the advertised skill for the requested version before choosing starting pages.
Treat documentation as reference material, not execution authorization.