Configuring LLM Providers

PaddleBoard is bring-your-own-key: you connect your own model accounts. There is no hosted PaddleBoard plan, and nothing is gated behind a PaddleBoard sign-in.

Add a provider

1. Open the agent panel.
2. Open agent settings → Configure Providers (or the command palette → provider config).
3. Pick a provider, paste your API key, and save. Keys are stored in your OS keychain (never in settings or plaintext).

Most providers also read a standard environment variable (e.g. ANTHROPIC_API_KEY, OPENAI_API_KEY) as a fallback.

Supported providers

Includes Anthropic, OpenAI (and ChatGPT subscription auth), Google AI (Gemini), Google Vertex AI, Amazon Bedrock, DeepSeek, Mistral, OpenRouter, Vercel AI Gateway, and local runners (Ollama, LM Studio).

Google Vertex AI (Gemini Enterprise)

Vertex is a PaddleBoard addition for teams whose Gemini access runs through Google Cloud. It supports three auth modes, in precedence order:

1. Service-account key — set credentials_path to a service-account JSON file.
2. Express API key — paste an AI Studio / Express key.
3. gcloud (recommended, no stored secret) — run gcloud auth login once; PaddleBoard borrows short-lived Application Default Credentials. Just set project_id (and optionally location, default global) and it works.

Configure it from the provider settings (project id, location, optional credentials path). Newer models (e.g. Gemini 3) live on the global location, which is the default.

Privacy

Telemetry is hard-disabled in PaddleBoard — your prompts and usage never leave your machine except for the calls you make directly to your chosen provider.