> ## Documentation Index
> Fetch the complete documentation index at: https://docs.seekr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Chat with a model

> Chat with a model and evaluate its responses inline.

Talk to a registered model and score any of its responses on the spot. It is a fast way to probe behavior before setting up a full [examination](/guard/app/examinations), with generation settings and a system prompt you can change between messages.

## Before you start

You need at least one registered [model](/guard/app/models), and at least one [evaluator](/guard/app/evaluators) if you want to score responses.

## Chat with a model

<Steps>
  <Step title="Pick a model">
    Open **Settings** with the gear icon. On the **Configuration** tab, choose a **Model**. A model card's **Chat with Model** button opens Chat with that model already selected.
  </Step>

  <Step title="Adjust the generation settings">
    Still on **Configuration**:

    * **Memory** – the **Use conversation history** toggle. When on, the model sees all previous messages. When off, each message is independent.
    * **Temperature** – a slider from 0 to 1 that controls randomness. Lower is more deterministic.
    * **Max Tokens** – a slider from 128 to 4096 that caps the response length.
    * **System Prompt** – an instruction that guides the model's behavior, such as *You are a helpful assistant*.
  </Step>

  <Step title="Choose evaluators">
    On the **Evaluators** tab, check the evaluators you want available for scoring. Search narrows the list, **Select all** and **Clear** work in bulk, and a chip counts your selection. Skip this if you only want to chat.
  </Step>

  <Step title="Send a message">
    Type your message and send it. The response streams in as it is generated. The **+** button starts a new chat.

    Models that emit chain-of-thought show a **Reasoning** chip above the answer. It pulses while the model is still thinking, and clicking it expands or collapses the reasoning.
  </Step>
</Steps>

## Evaluate a response

<Steps>
  <Step title="Evaluate">
    Point to an assistant message and click **Evaluate**.
  </Step>

  <Step title="Read the results">
    **Evaluation Results** runs your selected evaluators against that response. Each row shows the evaluator, a pass or fail mark, its score as a gauge, and a chip per judge model with that judge's score. **Show only concerning metrics** narrows the list to low or failing scores, and expanding a row shows its detail.
  </Step>

  <Step title="Go deeper or close">
    **Open in Comparison Workspace** carries the response into a [comparison](/guard/app/comparisons). **Close** returns to the chat.
  </Step>
</Steps>