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Doc Reviewer delegates all evaluation work to a large language model. Before you can run your first evaluation, you need to connect at least one model. You manage models in Settings → Models, where you can add, edit, activate, and delete model configurations. Only the active model is used for evaluations, but you can keep multiple configurations and switch between them at any time.

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Supported providers

Model quality has a significant impact on evaluation accuracy. Use a capable model — GPT-4o, Claude 3.5 Sonnet, or an equivalent — for reliable results. Smaller or weaker models may miss issues or produce vague recommendations.

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Add a model

1

Open Settings

Click Settings in the top navigation, then select the Models tab.
2

Click Add model

Click the Add model button to open the model configuration form.
3

Fill in the model details

Complete all required fields:
  • Model ID — the identifier the API expects, for example gpt-4o or claude-3-5-sonnet-20241022. This must match the model name used by your provider’s API exactly.
  • Display name — a human-readable label shown in the UI, for example GPT-4o.
  • Provider — select the provider or enter a custom value.
  • Base URL — the API endpoint. Use the values from the table above or your provider’s documentation.
  • API key — paste your secret key. Leave blank for providers that do not require one (such as Ollama).
4

Save the model

Click Save. The model appears in your models list but is not yet active.
5

Activate the model

Click Activate next to the model you want to use. The active model is used for all subsequent evaluations.
Only one model can be active at a time. Switching the active model takes effect immediately — the next evaluation will use the newly activated model.

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Switch the active model

To switch to a different model, go to Settings → Models and click Activate next to the model you want to use. The previously active model is deactivated automatically.

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API key security

API keys are stored in a local SQLite database on your machine. They are never sent to Doc Reviewer’s servers — there are none. The only outbound traffic that includes your API key is the direct API call from your machine to your LLM provider.

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Use a local model with Ollama

Ollama lets you run open-weight models locally, without any API key or external service. This is useful when you need to keep your documents on-premises or want to avoid per-token costs.
1

Install Ollama

Download and install Ollama from ollama.com. After installation, Ollama runs as a background service and listens on port 11434.
2

Pull a model

Open a terminal and run a model to download it:
You can use any model available in the Ollama library. The ollama run command downloads the model if it is not already present and starts an interactive session — you can close that session after the download completes.
3

Add the model in Doc Reviewer

Go to Settings → Models → Add model and fill in:
  • Model ID — the Ollama model name, for example llama3 or mistral.
  • Display name — any label you prefer.
  • Base URL — http://localhost:11434/v1
  • API key — leave blank.
4

Activate the model

Click Save, then click Activate next to the new entry.
For best results with local models, use a model with at least 7B parameters. Larger models (13B+) tend to produce more consistent evaluation output. Check the Ollama library for available options.

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The models.yml seed file

Doc Reviewer reads models.yml from the directory next to doc-reviewer.exe once — on first run — and uses it to populate the initial model list. After that, models.yml has no effect. To add or change models after first run, use Settings → Models in the UI.
If you are deploying Doc Reviewer to a new machine and want to pre-configure models, place a models.yml file next to the .exe before launching the application for the first time.