Kilo Code

Kilo Code adds UberLLM as a Custom provider with the OpenAI Compatible API type.

Before you start

• An UberLLM account with credit, and an API key from Dashboard → Keys (ull_...).

Setup in VS Code

1. Open Kilo's Settings (gear icon) and go to the Providers tab.
2. Scroll to the bottom and click Custom provider.
3. Fill in:
   • Provider ID: uberllm
   • Display name: UberLLM
   • Provider API: OpenAI Compatible
   • Base URL: https://api.uberllm.dev/v1
   • API key: your ull_... key
   • Models: click Fetch models and pick the ones you want, or Add model and type an id such as z-ai/glm-5.2.
4. Click Submit.

The fetched list carries only model ids and names. Set each model's context and output limits in the config file (next section): without them Kilo uses 0 and its context management does not work.

Setup in kilo.jsonc

Global file: ~/.config/kilo/kilo.jsonc. Project file: kilo.jsonc in the project.

{
  "provider": {
    "uberllm": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "UberLLM",
      "options": {
        "baseURL": "https://api.uberllm.dev/v1",
        "apiKey": "{env:UBERLLM_API_KEY}"
      },
      "models": {
        "deepseek/deepseek-v4.1-flash": { "name": "DeepSeek V4.1 Flash", "limit": { "context": 1048576, "output": 384000 } },
        "z-ai/glm-5.2": { "name": "GLM 5.2", "limit": { "context": 1048576, "output": 32768 } },
        "moonshotai/kimi-k3": { "name": "Kimi K3", "limit": { "context": 1048576, "output": 32768 } }
      }
    }
  },
  "model": "uberllm/z-ai/glm-5.2"
}

{env:UBERLLM_API_KEY} works only in the global file (or a file named by KILO_CONFIG). In a project kilo.jsonc, Kilo ignores it with a warning and the provider has no key. In a project file, paste the key into apiKey instead, or keep the provider in the global file.

Recommended models

Checked on 2026-10-30: each one answered and made a tool call through UberLLM.

Kilo already sends its app name (X-Title: Kilo Code) to custom providers.

Common errors