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

# Missing classification values from automated scorer

> [!NOTE]
>
> **Applies to:**
>
> * Plan - Any
> * Deployment - Any
> *
> * Use case: Automated classification scorers producing missing or empty score values in logs due to incompatible scorer model selection

## Summary

**Issue:** Classification scorer results are missing or empty in logs when using an incompatible model. The scoring pipeline fails silently with `ValidationException: This model doesn't support tool use in streaming mode.`

**Cause:** Classification scorers require a model that supports both streaming and tool use; Bedrock LLaMA models do not meet this requirement.

**Resolution:** Switch the scorer to a compatible model such as Anthropic Claude or OpenAI GPT-4o.

## Resolution steps

### Step 1: Check for scoring errors

Open an individual log trace and look for a scoring child span. If you see:

```
ValidationException: This model doesn't support tool use in streaming mode.
```

the scorer model is incompatible.

### Step 2: Switch to a compatible model

In your scorer configuration, replace the current model with one of the following:

**Compatible models:**

* `claude-3-5-haiku`
* `claude-3-7-sonnet`
* `gpt-4o`
* `gpt-4o-mini`

**Incompatible models:**

* Bedrock LLaMA models (do not support streaming tool use)

### Step 3: Verify scoring is running

After switching models, trigger scoring on recent logs using **Score past 3 days logs** to confirm results populate correctly.

### Step 4: Adjust prompt if needed

After switching models, classification output may differ. Refine the scorer prompt to ensure the model returns the expected category labels.

## Where to find results

| Scorer type | Results column |
| - | - |
| Classification scorer (`function_type = "classifier"`) | `classifications.<scorer_name>` |
| LLM-as-judge or custom code scorer | `scores.<scorer_name>` |


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