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OpenAI Agents SDK integration for the Grantex delegated authorization protocol — scope-enforced, audited agent tools

Project description

grantex-openai-agents

OpenAI Agents SDK integration for the Grantex delegated authorization protocol — scope-enforced agent tools.

Wrap any function with Grantex grant token verification so your agents can only use tools they've been authorized for.

PyPI Python License

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Install

pip install grantex-openai-agents

You also need the OpenAI Agents SDK installed (it's a peer dependency):

pip install openai-agents

Quick start

from grantex_openai_agents import create_grantex_tool

# Create a scope-enforced tool from any function
tool = create_grantex_tool(
    name="read_calendar",
    description="Read upcoming calendar events",
    grant_token=grant_token,       # JWT from Grantex authorization flow
    required_scope="calendar:read",
    func=get_calendar_events,      # your function
)

# Use with any OpenAI Agents SDK agent
from agents import Agent
agent = Agent(name="assistant", tools=[tool])

If the grant token doesn't include the required scope, create_grantex_tool raises a PermissionError immediately — the tool is never created.

API reference

create_grantex_tool()

Creates an OpenAI Agents SDK FunctionTool with offline scope enforcement.

Parameter Type Description
name str Tool name
description str Tool description
grant_token str JWT grant token from Grantex
required_scope str Scope that must be present in the token
func Callable[..., str] The function to wrap

get_tool_scopes()

Returns the scopes embedded in a grant token (offline, no network call).

decode_jwt_payload()

Decodes the payload of a JWT without verifying the signature. Useful for inspecting token claims.

Requirements

  • Python 3.9+
  • grantex >= 0.1.0
  • openai-agents >= 0.0.3 (peer dependency)

Grantex Ecosystem

This package is part of the Grantex ecosystem. See also:

License

Apache-2.0

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