sproutclaw/packages/coding-agent/docs/providers.md

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
• API Keys
• Auth File
• Cloud Providers
• Custom Providers
• Resolution Order

Subscriptions

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

• Claude Pro/Max
• ChatGPT Plus/Pro (Codex)
• GitHub Copilot

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

• 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

Use /login in interactive mode and select a provider to store an API key in auth.json, or set credentials 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
DeepSeek	DEEPSEEK_API_KEY	deepseek
Google Gemini	GEMINI_API_KEY	google
Mistral	MISTRAL_API_KEY	mistral
Groq	GROQ_API_KEY	groq
Cerebras	CEREBRAS_API_KEY	cerebras
Cloudflare AI Gateway	CLOUDFLARE_API_KEY (+ CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_GATEWAY_ID)	cloudflare-ai-gateway
Cloudflare Workers AI	CLOUDFLARE_API_KEY (+ CLOUDFLARE_ACCOUNT_ID)	cloudflare-workers-ai
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
OpenCode Go	OPENCODE_API_KEY	opencode-go
Hugging Face	HF_TOKEN	huggingface
Fireworks	FIREWORKS_API_KEY	fireworks
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-..." },
  "deepseek": { "type": "api_key", "key": "sk-..." },
  "google": { "type": "api_key", "key": "..." },
  "opencode": { "type": "api_key", "key": "..." },
  "opencode-go": { "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
# also supported: https://your-resource.cognitiveservices.azure.com
# root endpoints are auto-normalized to /openai/v1
# 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

Prompt caching is enabled automatically for Claude models whose ID contains a recognizable model name (base models and system-defined inference profiles). For application inference profiles (whose ARNs don't contain the model name), set AWS_BEDROCK_FORCE_CACHE=1 to enable cache points:

export AWS_BEDROCK_FORCE_CACHE=1
pi --provider amazon-bedrock --model arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/abc123

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

Cloudflare AI Gateway

CLOUDFLARE_API_KEY can be set via /login. The account ID and gateway slug must be set as environment variables.

export CLOUDFLARE_API_KEY=...           # or use /login
export CLOUDFLARE_ACCOUNT_ID=...
export CLOUDFLARE_GATEWAY_ID=...        # create at dash.cloudflare.com → AI → AI Gateway
pi --provider cloudflare-ai-gateway --model "anthropic/claude-sonnet-4-5"

Routes to OpenAI, Anthropic, and Workers AI through Cloudflare's Unified API (/compat). Workers AI and Anthropic models use the prefixed model id (workers-ai/@cf/..., anthropic/...). OpenAI reasoning models (gpt-5.x, o-series) need /v1/responses which /compat doesn't yet expose, so they route through the gateway's /openai provider-specific subpath with the native id (gpt-5.1). Requires BYOK or unified billing on the gateway for non-Workers-AI upstreams.

Cloudflare Workers AI

CLOUDFLARE_API_KEY can be set via /login. CLOUDFLARE_ACCOUNT_ID must be set as an environment variable.

export CLOUDFLARE_API_KEY=...           # or use /login
export CLOUDFLARE_ACCOUNT_ID=...
pi --provider cloudflare-workers-ai --model "@cf/moonshotai/kimi-k2.6"

Pi automatically sets x-session-affinity for prefix caching discounts.

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