Using Glama With Kilo Code

Glama provides access to a variety of language models through a unified API, including models from Anthropic, OpenAI, and others. It offers features like prompt caching and cost tracking.

Website: https://glama.ai/

Getting an API Key

1. Sign Up/Sign In: Go to the Glama sign-up page. Sign up using your Google account or name/email/password.
2. Get API Key: After signing up, navigate to the API Keys page to get an API key.
3. Copy the Key: Copy the displayed API key.

Supported Models

Kilo Code will automatically try to fetch a list of available models from the Glama API. Some models that are commonly available through Glama include:

• Anthropic Claude models: (e.g., anthropic/claude-3-5-sonnet) These are generally recommended for best performance with Kilo Code.
• OpenAI models: (e.g., openai/o3-mini-high)
• Other providers and open-source models

Refer to the Glama documentation for the most up-to-date list of supported models.

Configuration in Kilo Code

{% tabs %} {% tab label="VSCode (Legacy)" %}

1. Open Kilo Code Settings: Click the gear icon ({% codicon name="gear" /%}) in the Kilo Code panel.
2. Select Provider: Choose "Glama" from the "API Provider" dropdown.
3. Enter API Key: Paste your Glama API key into the "Glama API Key" field.
4. Select Model: Choose your desired model from the "Model" dropdown.

{% /tab %} {% tab label="VSCode" %}

Open Settings (gear icon) and go to the Providers tab to add Glama and enter your API key.

The extension stores this in your kilo.json config file. You can also edit the config file directly — see the CLI tab for the file format.

{% /tab %} {% tab label="CLI" %}

{% callout type="warning" %} Glama is not yet available as a CLI provider. Check the Kilo Code releases for updates on provider support. {% /callout %}

{% /tab %} {% /tabs %}

Tips and Notes

• Pricing: Glama operates on a pay-per-use basis. Pricing varies depending on the model you choose.
• Prompt Caching: Glama supports prompt caching, which can significantly reduce costs and improve performance for repeated prompts.