Installation & Usage
[01]
Install Package
Using uv or pip
BASH
uv pip install airbyte-agent-twilio
[02]
Import
Initialize and use
PYTHON
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.twilio import TwilioConnector
from airbyte_agent_sdk.connectors.twilio.models import TwilioAuthConfig
connector = TwilioConnector(
auth_config=TwilioAuthConfig(
account_sid="<Your Twilio Account SID (starts with AC)>",
auth_token="<Your Twilio Auth Token>",
)
)
agent = Agent("openai:gpt-4o")
[03]
Tool
Add tools to your agent
python
@agent.tool_plain
@TwilioConnector.tool_utils
async def twilio_execute(
entity: str,
action: str,
params: dict | None = None,
):
return await connector.execute(entity, action, params or {})
Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Accounts | [List](./REFERENCE.md#accounts-list), [Get](./REFERENCE.md#accounts-get), [Search](./REFERENCE.md#accounts-search) |\n| Calls | [List](./REFERENCE.md#calls-list), [Get](./REFERENCE.md#calls-get), [Search](./REFERENCE.md#calls-search) |\n| Messages | [List](./REFERENCE.md#messages-list), [Get](./REFERENCE.md#messages-get), [Search](./REFERENCE.md#messages-search) |\n| Incoming Phone Numbers | [List](./REFERENCE.md#incoming-phone-numbers-list), [Get](./REFERENCE.md#incoming-phone-numbers-get), [Search](./REFERENCE.md#incoming-phone-numbers-search) |\n| Recordings | [List](./REFERENCE.md#recordings-list), [Get](./REFERENCE.md#recordings-get), [Search](./REFERENCE.md#recordings-search) |\n| Conferences | [List](./REFERENCE.md#conferences-list), [Get](./REFERENCE.md#conferences-get), [Search](./REFERENCE.md#conferences-search) |\n| Usage Records | [List](./REFERENCE.md#usage-records-list), [Search](./REFERENCE.md#usage-records-search) |\n| Addresses | [List](./REFERENCE.md#addresses-list), [Get](./REFERENCE.md#addresses-get), [Search](./REFERENCE.md#addresses-search) |\n| Queues | [List](./REFERENCE.md#queues-list), [Get](./REFERENCE.md#queues-get), [Search](./REFERENCE.md#queues-search) |\n| Transcriptions | [List](./REFERENCE.md#transcriptions-list), [Get](./REFERENCE.md#transcriptions-get), [Search](./REFERENCE.md#transcriptions-search) |\n| Outgoing Caller Ids | [List](./REFERENCE.md#outgoing-caller-ids-list), [Get](./REFERENCE.md#outgoing-caller-ids-get), [Search](./REFERENCE.md#outgoing-caller-ids-search) |
Example Prompts
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List all calls from the last 7 days - Show me recent inbound SMS messages - List all active phone numbers on my account - Show me details for a specific call - List all recordings - Show me conference calls - List usage records for my account - Show me all queues - List outgoing caller IDs - Show me addresses on my account - List transcriptions - What are my top 10 most expensive calls this month? - How many SMS messages did I send vs receive in the last 30 days? - Summarize my usage costs by category - Which phone numbers have the most incoming calls? - Show me all failed messages and their error codes - What is the average call duration for outbound calls?
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Agent-Native Design
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Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
LangChain
CrewAI
LlamaIndex
AutoGen
OpenAI Agents SDK
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Twilio connector supports HTTP Basic authentication using your Twilio Account SID and Auth Token. In open source mode, you provide these credentials directly via TwilioAuthConfig. In hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte client ID and secret instead.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
The Twilio connector currently supports read operations only. Write operations such as sending SMS messages, making phone calls, purchasing phone numbers, deleting recordings, or creating queues are not currently supported.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Whether you're building Agents or Data Pipelines.