AgentVisa Python SDK
The official Python SDK for the AgentVisa API.
Quick Start
uv add agentvisa
import agentvisa
# Initialize the SDK
agentvisa.init(api_key="your-api-key")
# Create a delegation (type defaults to "ephemeral")
delegation = agentvisa.create_delegation(
end_user_identifier="user123",
scopes=["read", "write"],
)
print(f"Credential: {delegation['credential'][:12]}... (agent_id={delegation['agent_id']})")
Installation
uv add agentvisa
Authentication
Get your API key from the AgentVisa Dashboard.
import agentvisa
agentvisa.init(api_key="av_1234567890abcdef")
Usage
Simple Interface (Recommended)
For most use cases, use the simple global interface:
import agentvisa
# Initialize once
agentvisa.init(api_key="your-api-key")
# Create delegations
delegation = agentvisa.create_delegation(
end_user_identifier="user123",
scopes=["read", "write", "admin"],
expires_in=7200, # 2 hours
metadata={"description": "Test agent"},
)
Client Interface
For advanced use cases or multiple configurations:
from agentvisa import AgentVisaClient
# Create client instance
client = AgentVisaClient(api_key="your-api-key")
# Use the client
delegation = client.delegations.create(
end_user_identifier="user123",
scopes=["read", "write"],
expires_in=3600
)
Integrating with LangChain
You can easily secure LangChain agents by creating a custom tool that wraps AgentVisa. This ensures that every time an agent needs to perform a privileged action, it acquires a fresh, scoped, short-lived credential tied to the end-user.
This example shows how to create a secure "email sending" tool.
1. Create the AgentVisa-powered Tool
The tool's _run method will call agentvisa.create_delegation to get a secure token just before it performs its action.
from langchain.tools import BaseTool
import agentvisa
# Initialize AgentVisa once in your application
agentvisa.init(api_key="your-api-key")
class SecureEmailTool(BaseTool):
name = "send_email"
description = "Use this tool to send an email."
def _run(self, to: str, subject: str, body: str, user_id: str):
"""Sends an email securely using an AgentVisa token."""
# 1. Get a short-lived, scoped credential from AgentVisa
try:
delegation = agentvisa.create_delegation(
end_user_identifier=user_id,
scopes=["send:email"]
)
token = delegation.get("credential")
print(f"Successfully acquired AgentVisa for user '{user_id}' with scope 'send:email'")
except Exception as e:
return f"Error: Could not acquire AgentVisa. {e}"
# 2. Use the token to call your internal, secure email API
# Your internal API would verify this token before sending the email.
print(f"Calling internal email service with token: {token[:15]}...")
# response = requests.post(
# "https://internal-api.yourcompany.com/send-email",
# headers={"Authorization": f"Bearer {token}"},
# json={"to": to, "subject": subject, "body": body}
# )
# For this example, we'll simulate a successful call
return "Email sent successfully."
async def _arun(self, to: str, subject: str, body: str, user_id: str):
# LangChain requires an async implementation for tools
raise NotImplementedError("SecureEmailTool does not support async")
2. Add the Tool to your Agent
Now, you can provide this tool to your LangChain agent. When the agent decides to use the send_email tool, it will automatically generate a new, auditable AgentVisa.
from langchain.agents import initialize_agent, AgentType
from langchain.chat_models import ChatOpenAI
# Initialize your LLM
llm = ChatOpenAI(model_name="gpt-5-2025-08-07", temperature=0)
# Create an instance of your secure tool
tools = [SecureEmailTool()]
# Initialize the agent
agent = initialize_agent(
tools,
llm,
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
verbose=True
)
# Run the agent
# The agent will correctly parse the user_id and pass it to the tool
agent.run("Please send an email to team@example.com with the subject 'Project Update' and body 'The new feature is live.' for user_id 'user_anne'.")
This pattern provides the perfect combination of LangChain's powerful reasoning capabilities with AgentVisa's secure, auditable credentialing system.
API Reference
Delegations
create_delegation(end_user_identifier, scopes, expires_in=3600, *, delegation_type="ephemeral", metadata=None, timeout=15)
Create a new agent delegation.
Parameters:
end_user_identifier(str): Unique identifier for the end userscopes(List[str]): List of permission scopesexpires_in(int): Expiration time in seconds (default: 3600)
Returns:
Dict containing delegation details including agent_id, credential, and expires_at.
For backward compatibility the dict also includes aliases: id mirrors agent_id, and token mirrors credential.
Example:
delegation = agentvisa.create_delegation(
end_user_identifier="user123",
scopes=["read", "write"],
expires_in=7200
)
Error Handling
The SDK raises standard Python exceptions:
import agentvisa
from requests.exceptions import HTTPError
try:
agentvisa.init(api_key="invalid-key")
delegation = agentvisa.create_delegation("user123", ["read"])
except ValueError as e:
print(f"Invalid input: {e}")
except HTTPError as e:
print(f"API error: {e}")
except Exception as e:
print(f"SDK not initialized: {e}")
Development
Setup
git clone https://github.com/your-org/agentvisa-python.git
cd agentvisa-python
make install
Check the code
Run all checks (format, lint, typecheck, test)
make check
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes
- Run tests (
make test) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Support
License
This project is licensed under the MIT License - see the LICENSE file for details.
Release files for agentvisa 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentvisa-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.5 kB
Release files / agentvisa-0.2.1.tar.gz
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|---|---|
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| Tags | Source |
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| Uploaded via |
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