grantex 0.1.7

Python SDK for the Grantex delegated authorization protocol — OAuth 2.0 for AI agents

grantex

Python SDK for the Grantex delegated authorization protocol — OAuth 2.0 for AI agents.

Grantex lets humans authorize AI agents with verifiable, revocable, audited grants built on JWT and the OAuth 2.0 model. This SDK provides a complete client for the Grantex API.

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Install

pip install grantex

Quick start

from grantex import Grantex, ExchangeTokenParams, verify_grant_token, VerifyGrantTokenOptions

client = Grantex(api_key="YOUR_API_KEY")

# 1. Start the authorization flow
request = client.authorize(
    agent_id="ag_01HXYZ...",
    user_id="usr_01HXYZ...",
    scopes=["files:read", "email:send"],
)

# Redirect the user to the consent page — they approve in plain language
print(request.consent_url)

# 2. Exchange the authorization code for a grant token
# (your redirect callback receives the `code` after user approves)
token = client.tokens.exchange(ExchangeTokenParams(code=code, agent_id="ag_01HXYZ..."))
print(token.grant_token)  # RS256-signed JWT
print(token.scopes)       # ('files:read', 'email:send')

# 3. Verify the grant token offline (no network call)
grant = verify_grant_token(
    token=token.grant_token,
    options=VerifyGrantTokenOptions(
        jwks_uri="https://api.grantex.dev/.well-known/jwks.json",
    ),
)
print(grant.principal_id)  # 'usr_01HXYZ...'

# 4. Revoke when done
client.tokens.revoke(grant.token_id)

Offline verification

Verify grant tokens without a network call using the public JWKS:

from grantex import verify_grant_token

verified = verify_grant_token(
    token="eyJhbGciOiJSUzI1NiIs...",
    jwks_url="https://api.grantex.dev/.well-known/jwks.json",
)

print(verified.scopes)       # ['files:read', 'email:send']
print(verified.principal_id) # 'usr_01HXYZ...'
print(verified.agent_did)    # 'did:web:...'

PKCE Support

The SDK includes built-in PKCE (Proof Key for Code Exchange) support using the S256 method:

from grantex import Grantex, ExchangeTokenParams, generate_pkce

client = Grantex(api_key="YOUR_API_KEY")

# 1. Generate a PKCE challenge
pkce = generate_pkce()
# pkce.code_verifier        — random 43-char string (keep secret)
# pkce.code_challenge       — SHA-256 hash of verifier (send to server)
# pkce.code_challenge_method — 'S256'

# 2. Pass the challenge when requesting authorization
request = client.authorize(
    agent_id="ag_01HXYZ...",
    user_id="usr_01HXYZ...",
    scopes=["files:read"],
    code_challenge=pkce.code_challenge,
    code_challenge_method=pkce.code_challenge_method,
)

# 3. Exchange the code with the verifier
token = client.tokens.exchange(ExchangeTokenParams(
    code="auth_code_from_redirect",
    agent_id="ag_01HXYZ...",
    code_verifier=pkce.code_verifier,
))

Features

Feature	Description
Authorization flow	client.authorize() — initiate consent, get grant tokens
Token exchange	client.tokens.exchange() — exchange an authorization code for a grant token
Token management	client.tokens.verify(), .revoke() — online verification and revocation
Offline verification	verify_grant_token() — RS256 signature check against JWKS
Agent management	client.agents.create(), .get(), .list(), .update(), .delete()
Grant management	client.grants.list(), .get(), .revoke()
Multi-agent delegation	client.grants.delegate() — scoped sub-grants with cascade revocation
Audit trail	client.audit.log(), .list(), .get() — tamper-evident hash-chained log
Policy engine	client.policies.create(), .list(), .update(), .delete()
Anomaly detection	client.anomalies.list(), .detect()
Compliance	client.compliance.summary(), .export_audit(), .export_grants(), .evidence_pack()
Webhooks	client.webhooks.create(), .list(), .delete() + verify_webhook_signature()
Billing	client.billing.status(), .checkout(), .portal()
SCIM 2.0	client.scim.create_user(), .list_users(), .get_user(), .update_user(), .delete_user()
OIDC SSO	client.sso.create_config(), .get_config(), .login(), .callback()

Configuration

from grantex import Grantex

# Explicit API key
client = Grantex(api_key="gx_live_...")

# Or via environment variable
# export GRANTEX_API_KEY=gx_live_...
client = Grantex()

# Custom base URL (self-hosted)
client = Grantex(
    api_key="gx_live_...",
    base_url="https://auth.your-company.com",
)

# Custom timeout (seconds)
client = Grantex(api_key="gx_live_...", timeout=60.0)

The client also works as a context manager:

with Grantex(api_key="gx_live_...") as client:
    agents = client.agents.list()

Error handling

from grantex import Grantex, GrantexApiError, GrantexAuthError, GrantexNetworkError

client = Grantex(api_key="gx_live_...")

try:
    client.agents.get("ag_invalid")
except GrantexAuthError:
    # 401 — invalid or expired API key
    pass
except GrantexApiError as e:
    # Any other API error (4xx/5xx)
    print(e.status_code, e.code, e.message)
except GrantexNetworkError:
    # Connection failure, timeout, DNS error
    pass

Requirements

• Python 3.9+
• httpx (sync HTTP client)
• PyJWT + cryptography (for offline token verification)

Links

• Documentation
• Protocol specification
• TypeScript SDK
• IETF Internet-Draft
• Landing page

Grantex Ecosystem

Package	Description
@grantex/sdk	TypeScript SDK
@grantex/langchain	LangChain integration
@grantex/autogen	AutoGen integration
@grantex/vercel-ai	Vercel AI SDK integration
grantex-crewai	CrewAI integration
grantex-openai-agents	OpenAI Agents SDK integration
grantex-adk	Google ADK integration
@grantex/mcp	MCP server for Claude Desktop / Cursor / Windsurf
@grantex/cli	Command-line tool

License

Apache 2.0