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Providers

Pi supports subscription-based providers via OAuth and API key providers via environment variables or auth file. For each provider, pi knows all available models. The list is updated with every pi release.

Table of Contents

Subscriptions

Use /login in interactive mode, then select a provider:

  • Claude Pro/Max
  • ChatGPT Plus/Pro (Codex)
  • GitHub Copilot
  • Google Gemini CLI
  • Google Antigravity

Use /logout to clear credentials. Tokens are stored in ~/.pi/agent/auth.json and auto-refresh when expired.

GitHub Copilot

  • Press Enter for github.com, or enter your GitHub Enterprise Server domain
  • If you get "model not supported", enable it in VS Code: Copilot Chat → model selector → select model → "Enable"

Google Providers

  • Gemini CLI: Standard Gemini models via Cloud Code Assist
  • Antigravity: Sandbox with Gemini 3, Claude, and GPT-OSS models
  • Both free with any Google account, subject to rate limits
  • For paid Cloud Code Assist: set GOOGLE_CLOUD_PROJECT env var

OpenAI Codex

  • Requires ChatGPT Plus or Pro subscription
  • Personal use only; for production, use the OpenAI Platform API

API Keys

Environment Variables or Auth File

Set via environment variable:

export ANTHROPIC_API_KEY=sk-ant-...
pi
Provider Environment Variable auth.json key
Anthropic ANTHROPIC_API_KEY anthropic
Azure OpenAI Responses AZURE_OPENAI_API_KEY azure-openai-responses
OpenAI OPENAI_API_KEY openai
Google Gemini GEMINI_API_KEY google
Mistral MISTRAL_API_KEY mistral
Groq GROQ_API_KEY groq
Cerebras CEREBRAS_API_KEY cerebras
xAI XAI_API_KEY xai
OpenRouter OPENROUTER_API_KEY openrouter
Vercel AI Gateway AI_GATEWAY_API_KEY vercel-ai-gateway
ZAI ZAI_API_KEY zai
OpenCode Zen OPENCODE_API_KEY opencode
Hugging Face HF_TOKEN huggingface
Kimi For Coding KIMI_API_KEY kimi-coding
MiniMax MINIMAX_API_KEY minimax
MiniMax (China) MINIMAX_CN_API_KEY minimax-cn

Reference for environment variables and auth.json keys: const envMap in packages/ai/src/env-api-keys.ts.

Auth File

Store credentials in ~/.pi/agent/auth.json:

{
  "anthropic": { "type": "api_key", "key": "sk-ant-..." },
  "openai": { "type": "api_key", "key": "sk-..." },
  "google": { "type": "api_key", "key": "..." },
  "opencode": { "type": "api_key", "key": "..." }
}

The file is created with 0600 permissions (user read/write only). Auth file credentials take priority over environment variables.

Key Resolution

The key field supports three formats:

  • Shell command: "!command" executes and uses stdout (cached for process lifetime) 
    { "type": "api_key", "key": "!security find-generic-password -ws 'anthropic'" }
{ "type": "api_key", "key": "!op read 'op://vault/item/credential'" }
  • Environment variable: Uses the value of the named variable 
    { "type": "api_key", "key": "MY_ANTHROPIC_KEY" }
  • Literal value: Used directly 
    { "type": "api_key", "key": "sk-ant-..." }

OAuth credentials are also stored here after /login and managed automatically.

Cloud Providers

Azure OpenAI

export AZURE_OPENAI_API_KEY=...
export AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com
# or use resource name instead of base URL
export AZURE_OPENAI_RESOURCE_NAME=your-resource

# Optional
export AZURE_OPENAI_API_VERSION=2024-02-01
export AZURE_OPENAI_DEPLOYMENT_NAME_MAP=gpt-4=my-gpt4,gpt-4o=my-gpt4o

Amazon Bedrock

# Option 1: AWS Profile
export AWS_PROFILE=your-profile

# Option 2: IAM Keys
export AWS_ACCESS_KEY_ID=AKIA...
export AWS_SECRET_ACCESS_KEY=...

# Option 3: Bearer Token
export AWS_BEARER_TOKEN_BEDROCK=...

# Optional region (defaults to us-east-1)
export AWS_REGION=us-west-2

Also supports ECS task roles (AWS_CONTAINER_CREDENTIALS_*) and IRSA (AWS_WEB_IDENTITY_TOKEN_FILE).

pi --provider amazon-bedrock --model us.anthropic.claude-sonnet-4-20250514-v1:0

If you are connecting to a Bedrock API proxy, the following environment variables can be used:

# Set the URL for the Bedrock proxy (standard AWS SDK env var)
export AWS_ENDPOINT_URL_BEDROCK_RUNTIME=https://my.corp.proxy/bedrock

# Set if your proxy does not require authentication
export AWS_BEDROCK_SKIP_AUTH=1

# Set if your proxy only supports HTTP/1.1
export AWS_BEDROCK_FORCE_HTTP1=1

Google Vertex AI

Uses Application Default Credentials:

gcloud auth application-default login
export GOOGLE_CLOUD_PROJECT=your-project
export GOOGLE_CLOUD_LOCATION=us-central1

Or set GOOGLE_APPLICATION_CREDENTIALS to a service account key file.

Custom Providers

Via models.json: Add Ollama, LM Studio, vLLM, or any provider that speaks a supported API (OpenAI Completions, OpenAI Responses, Anthropic Messages, Google Generative AI). See models.md.

Via extensions: For providers that need custom API implementations or OAuth flows, create an extension. See custom-provider.md and examples/extensions/custom-provider-gitlab-duo.

Resolution Order

When resolving credentials for a provider:

  1. CLI --api-key flag
  2. auth.json entry (API key or OAuth token)
  3. Environment variable
  4. Custom provider keys from models.json