# docs.airbyte.com llms.txt > Airbyte is an open source platform designed for building and managing data pipelines, offering extensive connector options to facilitate data movement from various sources to destinations efficiently and effectively. - [docs.airbyte.com llms.txt](/index.md) ## search - [Search the documentation](/search.md) ## ai-agents Airbyte Agents is a data and context layer for AI agents. It gives your agents real-time access to business data through open source, type-safe connectors, managed credentials, and low-latency search. Use it as a cloud platform or import connectors directly into your own agents. - [Airbyte Agents](/ai-agents.md): Airbyte Agents is a data and context layer for AI agents. It gives your agents real-time access to business data through open source, type-safe connectors, managed credentials, and low-latency search. Use it as a cloud platform or import connectors directly into your own agents. ### admin Manage your Airbyte Agents account. This section covers billing, including plans, payments, usage monitoring, invoices, and subscription changes. If your network restricts inbound traffic, see IP allow list. - [Account and administration](/ai-agents/admin.md): Manage your Airbyte Agents account. This section covers billing, including plans, payments, usage monitoring, invoices, and subscription changes. If your network restricts inbound traffic, see IP allow list. #### billing Airbyte Agents bills you based on a unit of measurement called agent operations (AOs). All plans come with a specific number of free AOs, and most plans allow you to exceed this limit for an additional cost. Your plan determines: - [Billing and pricing](/ai-agents/admin/billing.md): Airbyte Agents bills you based on a unit of measurement called agent operations (AOs). All plans come with a specific number of free AOs, and most plans allow you to exceed this limit for an additional cost. Your plan determines: #### ip-allowlist Airbyte Agents uses the Airbyte Cloud IP addresses, plus additional IP addresses for Agents-specific workloads. If your organization restricts inbound traffic by IP address, allow the following addresses in your firewall. - [IP allow list for Agents](/ai-agents/admin/ip-allowlist.md): Airbyte Agents uses the Airbyte Cloud IP addresses, plus additional IP addresses for Agents-specific workloads. If your organization restricts inbound traffic by IP address, allow the following addresses in your firewall. #### profile Your Profile page contains your personal account details, your organization's name, and the API credentials Airbyte Agents uses to authenticate programmatic access. Go to the Profile page to review these details or make changes. - [Manage your user profile](/ai-agents/admin/profile.md): Your Profile page contains your personal account details, your organization's name, and the API credentials Airbyte Agents uses to authenticate programmatic access. Go to the Profile page to review these details or make changes. #### sessions The Sessions page shows a read-only history of every agent interaction in your workspace, along with token usage and the connectors each interaction used. Use it to audit what your agents did, troubleshoot unexpected results, and understand what's driving your agent operations (AOs). - [Review sessions](/ai-agents/admin/sessions.md): The Sessions page shows a read-only history of every agent interaction in your workspace, along with token usage and the connectors each interaction used. Use it to audit what your agents did, troubleshoot unexpected results, and understand what's driving your agent operations (AOs). #### tool-calls Airbyte Agents logs every tool call your agents make. Review this log to understand what your agents are doing, troubleshoot failures, and investigate unexpected activity or cost spikes. - [Review tool calls](/ai-agents/admin/tool-calls.md): Airbyte Agents logs every tool call your agents make. Review this log to understand what your agents are doing, troubleshoot failures, and investigate unexpected activity or cost spikes. ### concepts This section covers the building blocks of Airbyte Agents: the models, resources, and platform behaviors you work with across every interface. - [Core concepts](/ai-agents/concepts.md): This section covers the building blocks of Airbyte Agents: the models, resources, and platform behaviors you work with across every interface. #### agent-operations An Agent Operation (AO) is the unit of work in Airbyte Agents. Every time an agent processes a prompt, reasons about data, or calls a tool through Airbyte's hosted platform, it consumes AOs. AOs measure the processing intensity of a task, not just the number of requests. Connector calls made locally through the open-source SDK do not consume AOs. - [Agent operations](/ai-agents/concepts/agent-operations.md): An Agent Operation (AO) is the unit of work in Airbyte Agents. Every time an agent processes a prompt, reasons about data, or calls a tool through Airbyte's hosted platform, it consumes AOs. AOs measure the processing intensity of a task, not just the number of requests. Connector calls made locally through the open-source SDK do not consume AOs. #### architecture Airbyte Agents is a cloud platform that gives AI agents authenticated, structured access to third-party SaaS data. It stores credentials, manages token refresh, and exposes a uniform execution interface so agents can read, search, and write data across dozens of services. - [System architecture](/ai-agents/concepts/architecture.md): Airbyte Agents is a cloud platform that gives AI agents authenticated, structured access to third-party SaaS data. It stores credentials, manages token refresh, and exposes a uniform execution interface so agents can read, search, and write data across dozens of services. ##### connectors-and-credentials A connector in Airbyte Agents is a stored credential and configuration for a third-party service. Connectors are what agents use to read, search, and write data in external systems. Each connector lives inside a workspace and is available to every interface that can access that workspace. - [Connectors and credentials](/ai-agents/concepts/architecture/connectors-and-credentials.md): A connector in Airbyte Agents is a stored credential and configuration for a third-party service. Connectors are what agents use to read, search, and write data in external systems. Each connector lives inside a workspace and is available to every interface that can access that workspace. ##### organizations An organization is the top-level container in Airbyte Agents. It represents a single account, maps to one billing subscription, and owns every workspace, connector, and credential beneath it. - [Organizations](/ai-agents/concepts/architecture/organizations.md): An organization is the top-level container in Airbyte Agents. It represents a single account, maps to one billing subscription, and owns every workspace, connector, and credential beneath it. ##### workspaces A workspace is an isolation boundary within an organization. Each workspace holds its own set of connectors and credentials. A token scoped to one workspace cannot access connectors in another. - [Workspaces](/ai-agents/concepts/architecture/workspaces.md): A workspace is an isolation boundary within an organization. Each workspace holds its own set of connectors and credentials. A token scoped to one workspace cannot access connectors in another. #### connect-ask-act AI agents need real-time access to business data spread across dozens of systems, but building and maintaining those integrations is expensive and fragile. Airbyte Agents solves this with three layers: Connect your agents to any system, Ask questions across all your data in one searchable layer, and let agents Act on that data in real time. - [Connect, Ask, Act](/ai-agents/concepts/connect-ask-act.md): AI agents need real-time access to business data spread across dozens of systems, but building and maintaining those integrations is expensive and fragile. Airbyte Agents solves this with three layers: Connect your agents to any system, Ask questions across all your data in one searchable layer, and let agents Act on that data in real time. #### context-store The Context Store is a managed, searchable replica of select entities from all your connected data sources. Airbyte populates it from the connectors in your workspace and gives agents a fast, consistent way to search your business data without hitting the underlying APIs for every request. - [Context Store](/ai-agents/concepts/context-store.md): The Context Store is a managed, searchable replica of select entities from all your connected data sources. Airbyte populates it from the connectors in your workspace and gives agents a fast, consistent way to search your business data without hitting the underlying APIs for every request. #### time-zones Airbyte Agents handles dates and times the same way across every interface: display in your local time, store and transport in UTC, and schedule Automations in a time zone you choose. This page explains how that works and what to expect in each interface. - [Time zones](/ai-agents/concepts/time-zones.md): Airbyte Agents handles dates and times the same way across every interface: display in your local time, store and transport in UTC, and schedule Automations in a time zone you choose. This page explains how that works and what to expect in each interface. ### connectors Airbyte's agent connectors equip AI agents to call third-party APIs through strongly typed, well-documented tools. All connectors ship inside the single airbyte-agent-sdk Python package and are ready to use in Airbyte Agents through any of the supported interfaces. - [Agent connectors](/ai-agents/connectors.md): Airbyte's agent connectors equip AI agents to call third-party APIs through strongly typed, well-documented tools. All connectors ship inside the single airbyte-agent-sdk Python package and are ready to use in Airbyte Agents through any of the supported interfaces. #### airtable The Airtable agent connector is a Python package that equips AI agents to interact with Airtable through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Airtable](/ai-agents/connectors/airtable.md): The Airtable agent connector is a Python package that equips AI agents to interact with Airtable through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Airtable agent connector. - [Airtable authentication](/ai-agents/connectors/airtable/AUTH.md): This page documents the authentication and configuration options for the Airtable agent connector. ##### REFERENCE This is the full reference documentation for the Airtable agent connector. - [Airtable full reference](/ai-agents/connectors/airtable/REFERENCE.md): This is the full reference documentation for the Airtable agent connector. #### amazon-ads The Amazon-Ads agent connector is a Python package that equips AI agents to interact with Amazon-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Amazon-Ads](/ai-agents/connectors/amazon-ads.md): The Amazon-Ads agent connector is a Python package that equips AI agents to interact with Amazon-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Amazon-Ads agent connector. - [Amazon-Ads authentication](/ai-agents/connectors/amazon-ads/AUTH.md): This page documents the authentication and configuration options for the Amazon-Ads agent connector. ##### REFERENCE This is the full reference documentation for the Amazon-Ads agent connector. - [Amazon-Ads full reference](/ai-agents/connectors/amazon-ads/REFERENCE.md): This is the full reference documentation for the Amazon-Ads agent connector. #### amazon-seller-partner The Amazon-Seller-Partner agent connector is a Python package that equips AI agents to interact with Amazon-Seller-Partner through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Amazon-Seller-Partner](/ai-agents/connectors/amazon-seller-partner.md): The Amazon-Seller-Partner agent connector is a Python package that equips AI agents to interact with Amazon-Seller-Partner through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Amazon-Seller-Partner agent connector. - [Amazon-Seller-Partner authentication](/ai-agents/connectors/amazon-seller-partner/AUTH.md): This page documents the authentication and configuration options for the Amazon-Seller-Partner agent connector. ##### REFERENCE This is the full reference documentation for the Amazon-Seller-Partner agent connector. - [Amazon-Seller-Partner full reference](/ai-agents/connectors/amazon-seller-partner/REFERENCE.md): This is the full reference documentation for the Amazon-Seller-Partner agent connector. #### amplitude The Amplitude agent connector is a Python package that equips AI agents to interact with Amplitude through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Amplitude](/ai-agents/connectors/amplitude.md): The Amplitude agent connector is a Python package that equips AI agents to interact with Amplitude through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Amplitude agent connector. - [Amplitude authentication](/ai-agents/connectors/amplitude/AUTH.md): This page documents the authentication and configuration options for the Amplitude agent connector. ##### REFERENCE This is the full reference documentation for the Amplitude agent connector. - [Amplitude full reference](/ai-agents/connectors/amplitude/REFERENCE.md): This is the full reference documentation for the Amplitude agent connector. #### asana The Asana agent connector is a Python package that equips AI agents to interact with Asana through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Asana](/ai-agents/connectors/asana.md): The Asana agent connector is a Python package that equips AI agents to interact with Asana through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Asana agent connector. - [Asana authentication](/ai-agents/connectors/asana/AUTH.md): This page documents the authentication and configuration options for the Asana agent connector. ##### REFERENCE This is the full reference documentation for the Asana agent connector. - [Asana full reference](/ai-agents/connectors/asana/REFERENCE.md): This is the full reference documentation for the Asana agent connector. #### ashby The Ashby agent connector is a Python package that equips AI agents to interact with Ashby through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Ashby](/ai-agents/connectors/ashby.md): The Ashby agent connector is a Python package that equips AI agents to interact with Ashby through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Ashby agent connector. - [Ashby authentication](/ai-agents/connectors/ashby/AUTH.md): This page documents the authentication and configuration options for the Ashby agent connector. ##### REFERENCE This is the full reference documentation for the Ashby agent connector. - [Ashby full reference](/ai-agents/connectors/ashby/REFERENCE.md): This is the full reference documentation for the Ashby agent connector. #### chargebee The Chargebee agent connector is a Python package that equips AI agents to interact with Chargebee through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Chargebee](/ai-agents/connectors/chargebee.md): The Chargebee agent connector is a Python package that equips AI agents to interact with Chargebee through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Chargebee agent connector. - [Chargebee authentication](/ai-agents/connectors/chargebee/AUTH.md): This page documents the authentication and configuration options for the Chargebee agent connector. ##### REFERENCE This is the full reference documentation for the Chargebee agent connector. - [Chargebee full reference](/ai-agents/connectors/chargebee/REFERENCE.md): This is the full reference documentation for the Chargebee agent connector. #### clickup-api The Clickup-Api agent connector is a Python package that equips AI agents to interact with Clickup-Api through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Clickup-Api](/ai-agents/connectors/clickup-api.md): The Clickup-Api agent connector is a Python package that equips AI agents to interact with Clickup-Api through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Clickup-Api agent connector. - [Clickup-Api authentication](/ai-agents/connectors/clickup-api/AUTH.md): This page documents the authentication and configuration options for the Clickup-Api agent connector. ##### REFERENCE This is the full reference documentation for the Clickup-Api agent connector. - [Clickup-Api full reference](/ai-agents/connectors/clickup-api/REFERENCE.md): This is the full reference documentation for the Clickup-Api agent connector. #### confluence The Confluence agent connector is a Python package that equips AI agents to interact with Confluence through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Confluence](/ai-agents/connectors/confluence.md): The Confluence agent connector is a Python package that equips AI agents to interact with Confluence through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Confluence agent connector. - [Confluence authentication](/ai-agents/connectors/confluence/AUTH.md): This page documents the authentication and configuration options for the Confluence agent connector. ##### REFERENCE This is the full reference documentation for the Confluence agent connector. - [Confluence full reference](/ai-agents/connectors/confluence/REFERENCE.md): This is the full reference documentation for the Confluence agent connector. #### customer-io The Customer-Io agent connector is a Python package that equips AI agents to interact with Customer-Io through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Customer-Io](/ai-agents/connectors/customer-io.md): The Customer-Io agent connector is a Python package that equips AI agents to interact with Customer-Io through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Customer-Io agent connector. - [Customer-Io authentication](/ai-agents/connectors/customer-io/AUTH.md): This page documents the authentication and configuration options for the Customer-Io agent connector. ##### REFERENCE This is the full reference documentation for the Customer-Io agent connector. - [Customer-Io full reference](/ai-agents/connectors/customer-io/REFERENCE.md): This is the full reference documentation for the Customer-Io agent connector. #### facebook-marketing The Facebook-Marketing agent connector is a Python package that equips AI agents to interact with Facebook-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Facebook-Marketing](/ai-agents/connectors/facebook-marketing.md): The Facebook-Marketing agent connector is a Python package that equips AI agents to interact with Facebook-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Facebook-Marketing agent connector. - [Facebook-Marketing authentication](/ai-agents/connectors/facebook-marketing/AUTH.md): This page documents the authentication and configuration options for the Facebook-Marketing agent connector. ##### REFERENCE This is the full reference documentation for the Facebook-Marketing agent connector. - [Facebook-Marketing full reference](/ai-agents/connectors/facebook-marketing/REFERENCE.md): This is the full reference documentation for the Facebook-Marketing agent connector. #### freshdesk The Freshdesk agent connector is a Python package that equips AI agents to interact with Freshdesk through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Freshdesk](/ai-agents/connectors/freshdesk.md): The Freshdesk agent connector is a Python package that equips AI agents to interact with Freshdesk through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Freshdesk agent connector. - [Freshdesk authentication](/ai-agents/connectors/freshdesk/AUTH.md): This page documents the authentication and configuration options for the Freshdesk agent connector. ##### REFERENCE This is the full reference documentation for the Freshdesk agent connector. - [Freshdesk full reference](/ai-agents/connectors/freshdesk/REFERENCE.md): This is the full reference documentation for the Freshdesk agent connector. #### github The Github agent connector is a Python package that equips AI agents to interact with Github through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Github](/ai-agents/connectors/github.md): The Github agent connector is a Python package that equips AI agents to interact with Github through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Github agent connector. - [Github authentication](/ai-agents/connectors/github/AUTH.md): This page documents the authentication and configuration options for the Github agent connector. ##### REFERENCE This is the full reference documentation for the Github agent connector. - [Github full reference](/ai-agents/connectors/github/REFERENCE.md): This is the full reference documentation for the Github agent connector. #### gitlab The Gitlab agent connector is a Python package that equips AI agents to interact with Gitlab through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Gitlab](/ai-agents/connectors/gitlab.md): The Gitlab agent connector is a Python package that equips AI agents to interact with Gitlab through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Gitlab agent connector. - [Gitlab authentication](/ai-agents/connectors/gitlab/AUTH.md): This page documents the authentication and configuration options for the Gitlab agent connector. ##### REFERENCE This is the full reference documentation for the Gitlab agent connector. - [Gitlab full reference](/ai-agents/connectors/gitlab/REFERENCE.md): This is the full reference documentation for the Gitlab agent connector. #### gmail The Gmail agent connector is a Python package that equips AI agents to interact with Gmail through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Gmail](/ai-agents/connectors/gmail.md): The Gmail agent connector is a Python package that equips AI agents to interact with Gmail through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Gmail agent connector. - [Gmail authentication](/ai-agents/connectors/gmail/AUTH.md): This page documents the authentication and configuration options for the Gmail agent connector. ##### REFERENCE This is the full reference documentation for the Gmail agent connector. - [Gmail full reference](/ai-agents/connectors/gmail/REFERENCE.md): This is the full reference documentation for the Gmail agent connector. #### gong The Gong agent connector is a Python package that equips AI agents to interact with Gong through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Gong](/ai-agents/connectors/gong.md): The Gong agent connector is a Python package that equips AI agents to interact with Gong through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Gong agent connector. - [Gong authentication](/ai-agents/connectors/gong/AUTH.md): This page documents the authentication and configuration options for the Gong agent connector. ##### REFERENCE This is the full reference documentation for the Gong agent connector. - [Gong full reference](/ai-agents/connectors/gong/REFERENCE.md): This is the full reference documentation for the Gong agent connector. #### google-ads The Google-Ads agent connector is a Python package that equips AI agents to interact with Google-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Google-Ads](/ai-agents/connectors/google-ads.md): The Google-Ads agent connector is a Python package that equips AI agents to interact with Google-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Google-Ads agent connector. - [Google-Ads authentication](/ai-agents/connectors/google-ads/AUTH.md): This page documents the authentication and configuration options for the Google-Ads agent connector. ##### REFERENCE This is the full reference documentation for the Google-Ads agent connector. - [Google-Ads full reference](/ai-agents/connectors/google-ads/REFERENCE.md): This is the full reference documentation for the Google-Ads agent connector. #### google-analytics-data-api The Google-Analytics-Data-Api agent connector is a Python package that equips AI agents to interact with Google-Analytics-Data-Api through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Google-Analytics-Data-Api](/ai-agents/connectors/google-analytics-data-api.md): The Google-Analytics-Data-Api agent connector is a Python package that equips AI agents to interact with Google-Analytics-Data-Api through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Google-Analytics-Data-Api agent connector. - [Google-Analytics-Data-Api authentication](/ai-agents/connectors/google-analytics-data-api/AUTH.md): This page documents the authentication and configuration options for the Google-Analytics-Data-Api agent connector. ##### REFERENCE This is the full reference documentation for the Google-Analytics-Data-Api agent connector. - [Google-Analytics-Data-Api full reference](/ai-agents/connectors/google-analytics-data-api/REFERENCE.md): This is the full reference documentation for the Google-Analytics-Data-Api agent connector. #### google-drive The Google-Drive agent connector is a Python package that equips AI agents to interact with Google-Drive through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Google-Drive](/ai-agents/connectors/google-drive.md): The Google-Drive agent connector is a Python package that equips AI agents to interact with Google-Drive through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Google-Drive agent connector. - [Google-Drive authentication](/ai-agents/connectors/google-drive/AUTH.md): This page documents the authentication and configuration options for the Google-Drive agent connector. ##### REFERENCE This is the full reference documentation for the Google-Drive agent connector. - [Google-Drive full reference](/ai-agents/connectors/google-drive/REFERENCE.md): This is the full reference documentation for the Google-Drive agent connector. #### google-search-console The Google-Search-Console agent connector is a Python package that equips AI agents to interact with Google-Search-Console through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Google-Search-Console](/ai-agents/connectors/google-search-console.md): The Google-Search-Console agent connector is a Python package that equips AI agents to interact with Google-Search-Console through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Google-Search-Console agent connector. - [Google-Search-Console authentication](/ai-agents/connectors/google-search-console/AUTH.md): This page documents the authentication and configuration options for the Google-Search-Console agent connector. ##### REFERENCE This is the full reference documentation for the Google-Search-Console agent connector. - [Google-Search-Console full reference](/ai-agents/connectors/google-search-console/REFERENCE.md): This is the full reference documentation for the Google-Search-Console agent connector. #### granola The Granola agent connector is a Python package that equips AI agents to interact with Granola through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Granola](/ai-agents/connectors/granola.md): The Granola agent connector is a Python package that equips AI agents to interact with Granola through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Granola agent connector. - [Granola authentication](/ai-agents/connectors/granola/AUTH.md): This page documents the authentication and configuration options for the Granola agent connector. ##### REFERENCE This is the full reference documentation for the Granola agent connector. - [Granola full reference](/ai-agents/connectors/granola/REFERENCE.md): This is the full reference documentation for the Granola agent connector. #### greenhouse The Greenhouse agent connector is a Python package that equips AI agents to interact with Greenhouse through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Greenhouse](/ai-agents/connectors/greenhouse.md): The Greenhouse agent connector is a Python package that equips AI agents to interact with Greenhouse through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Greenhouse agent connector. - [Greenhouse authentication](/ai-agents/connectors/greenhouse/AUTH.md): This page documents the authentication and configuration options for the Greenhouse agent connector. ##### REFERENCE This is the full reference documentation for the Greenhouse agent connector. - [Greenhouse full reference](/ai-agents/connectors/greenhouse/REFERENCE.md): This is the full reference documentation for the Greenhouse agent connector. #### harvest The Harvest agent connector is a Python package that equips AI agents to interact with Harvest through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Harvest](/ai-agents/connectors/harvest.md): The Harvest agent connector is a Python package that equips AI agents to interact with Harvest through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Harvest agent connector. - [Harvest authentication](/ai-agents/connectors/harvest/AUTH.md): This page documents the authentication and configuration options for the Harvest agent connector. ##### REFERENCE This is the full reference documentation for the Harvest agent connector. - [Harvest full reference](/ai-agents/connectors/harvest/REFERENCE.md): This is the full reference documentation for the Harvest agent connector. #### hubspot The Hubspot agent connector is a Python package that equips AI agents to interact with Hubspot through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Hubspot](/ai-agents/connectors/hubspot.md): The Hubspot agent connector is a Python package that equips AI agents to interact with Hubspot through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Hubspot agent connector. - [Hubspot authentication](/ai-agents/connectors/hubspot/AUTH.md): This page documents the authentication and configuration options for the Hubspot agent connector. ##### REFERENCE This is the full reference documentation for the Hubspot agent connector. - [Hubspot full reference](/ai-agents/connectors/hubspot/REFERENCE.md): This is the full reference documentation for the Hubspot agent connector. #### incident-io The Incident-Io agent connector is a Python package that equips AI agents to interact with Incident-Io through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Incident-Io](/ai-agents/connectors/incident-io.md): The Incident-Io agent connector is a Python package that equips AI agents to interact with Incident-Io through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Incident-Io agent connector. - [Incident-Io authentication](/ai-agents/connectors/incident-io/AUTH.md): This page documents the authentication and configuration options for the Incident-Io agent connector. ##### REFERENCE This is the full reference documentation for the Incident-Io agent connector. - [Incident-Io full reference](/ai-agents/connectors/incident-io/REFERENCE.md): This is the full reference documentation for the Incident-Io agent connector. #### intercom The Intercom agent connector is a Python package that equips AI agents to interact with Intercom through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Intercom](/ai-agents/connectors/intercom.md): The Intercom agent connector is a Python package that equips AI agents to interact with Intercom through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Intercom agent connector. - [Intercom authentication](/ai-agents/connectors/intercom/AUTH.md): This page documents the authentication and configuration options for the Intercom agent connector. ##### REFERENCE This is the full reference documentation for the Intercom agent connector. - [Intercom full reference](/ai-agents/connectors/intercom/REFERENCE.md): This is the full reference documentation for the Intercom agent connector. #### jira The Jira agent connector is a Python package that equips AI agents to interact with Jira through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Jira](/ai-agents/connectors/jira.md): The Jira agent connector is a Python package that equips AI agents to interact with Jira through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Jira agent connector. - [Jira authentication](/ai-agents/connectors/jira/AUTH.md): This page documents the authentication and configuration options for the Jira agent connector. ##### REFERENCE This is the full reference documentation for the Jira agent connector. - [Jira full reference](/ai-agents/connectors/jira/REFERENCE.md): This is the full reference documentation for the Jira agent connector. #### klaviyo The Klaviyo agent connector is a Python package that equips AI agents to interact with Klaviyo through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Klaviyo](/ai-agents/connectors/klaviyo.md): The Klaviyo agent connector is a Python package that equips AI agents to interact with Klaviyo through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Klaviyo agent connector. - [Klaviyo authentication](/ai-agents/connectors/klaviyo/AUTH.md): This page documents the authentication and configuration options for the Klaviyo agent connector. ##### REFERENCE This is the full reference documentation for the Klaviyo agent connector. - [Klaviyo full reference](/ai-agents/connectors/klaviyo/REFERENCE.md): This is the full reference documentation for the Klaviyo agent connector. #### linear The Linear agent connector is a Python package that equips AI agents to interact with Linear through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Linear](/ai-agents/connectors/linear.md): The Linear agent connector is a Python package that equips AI agents to interact with Linear through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Linear agent connector. - [Linear authentication](/ai-agents/connectors/linear/AUTH.md): This page documents the authentication and configuration options for the Linear agent connector. ##### REFERENCE This is the full reference documentation for the Linear agent connector. - [Linear full reference](/ai-agents/connectors/linear/REFERENCE.md): This is the full reference documentation for the Linear agent connector. #### linkedin-ads The Linkedin-Ads agent connector is a Python package that equips AI agents to interact with Linkedin-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Linkedin-Ads](/ai-agents/connectors/linkedin-ads.md): The Linkedin-Ads agent connector is a Python package that equips AI agents to interact with Linkedin-Ads through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Linkedin-Ads agent connector. - [Linkedin-Ads authentication](/ai-agents/connectors/linkedin-ads/AUTH.md): This page documents the authentication and configuration options for the Linkedin-Ads agent connector. ##### REFERENCE This is the full reference documentation for the Linkedin-Ads agent connector. - [Linkedin-Ads full reference](/ai-agents/connectors/linkedin-ads/REFERENCE.md): This is the full reference documentation for the Linkedin-Ads agent connector. #### mailchimp The Mailchimp agent connector is a Python package that equips AI agents to interact with Mailchimp through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Mailchimp](/ai-agents/connectors/mailchimp.md): The Mailchimp agent connector is a Python package that equips AI agents to interact with Mailchimp through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Mailchimp agent connector. - [Mailchimp authentication](/ai-agents/connectors/mailchimp/AUTH.md): This page documents the authentication and configuration options for the Mailchimp agent connector. ##### REFERENCE This is the full reference documentation for the Mailchimp agent connector. - [Mailchimp full reference](/ai-agents/connectors/mailchimp/REFERENCE.md): This is the full reference documentation for the Mailchimp agent connector. #### monday The Monday agent connector is a Python package that equips AI agents to interact with Monday through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Monday](/ai-agents/connectors/monday.md): The Monday agent connector is a Python package that equips AI agents to interact with Monday through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Monday agent connector. - [Monday authentication](/ai-agents/connectors/monday/AUTH.md): This page documents the authentication and configuration options for the Monday agent connector. ##### REFERENCE This is the full reference documentation for the Monday agent connector. - [Monday full reference](/ai-agents/connectors/monday/REFERENCE.md): This is the full reference documentation for the Monday agent connector. #### notion The Notion agent connector is a Python package that equips AI agents to interact with Notion through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Notion](/ai-agents/connectors/notion.md): The Notion agent connector is a Python package that equips AI agents to interact with Notion through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Notion agent connector. - [Notion authentication](/ai-agents/connectors/notion/AUTH.md): This page documents the authentication and configuration options for the Notion agent connector. ##### REFERENCE This is the full reference documentation for the Notion agent connector. - [Notion full reference](/ai-agents/connectors/notion/REFERENCE.md): This is the full reference documentation for the Notion agent connector. #### orb The Orb agent connector is a Python package that equips AI agents to interact with Orb through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Orb](/ai-agents/connectors/orb.md): The Orb agent connector is a Python package that equips AI agents to interact with Orb through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Orb agent connector. - [Orb authentication](/ai-agents/connectors/orb/AUTH.md): This page documents the authentication and configuration options for the Orb agent connector. ##### REFERENCE This is the full reference documentation for the Orb agent connector. - [Orb full reference](/ai-agents/connectors/orb/REFERENCE.md): This is the full reference documentation for the Orb agent connector. #### paypal-transaction The Paypal-Transaction agent connector is a Python package that equips AI agents to interact with Paypal-Transaction through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Paypal-Transaction](/ai-agents/connectors/paypal-transaction.md): The Paypal-Transaction agent connector is a Python package that equips AI agents to interact with Paypal-Transaction through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Paypal-Transaction agent connector. - [Paypal-Transaction authentication](/ai-agents/connectors/paypal-transaction/AUTH.md): This page documents the authentication and configuration options for the Paypal-Transaction agent connector. ##### REFERENCE This is the full reference documentation for the Paypal-Transaction agent connector. - [Paypal-Transaction full reference](/ai-agents/connectors/paypal-transaction/REFERENCE.md): This is the full reference documentation for the Paypal-Transaction agent connector. #### pinterest The Pinterest agent connector is a Python package that equips AI agents to interact with Pinterest through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Pinterest](/ai-agents/connectors/pinterest.md): The Pinterest agent connector is a Python package that equips AI agents to interact with Pinterest through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Pinterest agent connector. - [Pinterest authentication](/ai-agents/connectors/pinterest/AUTH.md): This page documents the authentication and configuration options for the Pinterest agent connector. ##### REFERENCE This is the full reference documentation for the Pinterest agent connector. - [Pinterest full reference](/ai-agents/connectors/pinterest/REFERENCE.md): This is the full reference documentation for the Pinterest agent connector. #### pylon The Pylon agent connector is a Python package that equips AI agents to interact with Pylon through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Pylon](/ai-agents/connectors/pylon.md): The Pylon agent connector is a Python package that equips AI agents to interact with Pylon through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Pylon agent connector. - [Pylon authentication](/ai-agents/connectors/pylon/AUTH.md): This page documents the authentication and configuration options for the Pylon agent connector. ##### REFERENCE This is the full reference documentation for the Pylon agent connector. - [Pylon full reference](/ai-agents/connectors/pylon/REFERENCE.md): This is the full reference documentation for the Pylon agent connector. #### salesforce The Salesforce agent connector is a Python package that equips AI agents to interact with Salesforce through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Salesforce](/ai-agents/connectors/salesforce.md): The Salesforce agent connector is a Python package that equips AI agents to interact with Salesforce through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Salesforce agent connector. - [Salesforce authentication](/ai-agents/connectors/salesforce/AUTH.md): This page documents the authentication and configuration options for the Salesforce agent connector. ##### REFERENCE This is the full reference documentation for the Salesforce agent connector. - [Salesforce full reference](/ai-agents/connectors/salesforce/REFERENCE.md): This is the full reference documentation for the Salesforce agent connector. #### sendgrid The Sendgrid agent connector is a Python package that equips AI agents to interact with Sendgrid through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Sendgrid](/ai-agents/connectors/sendgrid.md): The Sendgrid agent connector is a Python package that equips AI agents to interact with Sendgrid through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Sendgrid agent connector. - [Sendgrid authentication](/ai-agents/connectors/sendgrid/AUTH.md): This page documents the authentication and configuration options for the Sendgrid agent connector. ##### REFERENCE This is the full reference documentation for the Sendgrid agent connector. - [Sendgrid full reference](/ai-agents/connectors/sendgrid/REFERENCE.md): This is the full reference documentation for the Sendgrid agent connector. #### sentry The Sentry agent connector is a Python package that equips AI agents to interact with Sentry through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Sentry](/ai-agents/connectors/sentry.md): The Sentry agent connector is a Python package that equips AI agents to interact with Sentry through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Sentry agent connector. - [Sentry authentication](/ai-agents/connectors/sentry/AUTH.md): This page documents the authentication and configuration options for the Sentry agent connector. ##### REFERENCE This is the full reference documentation for the Sentry agent connector. - [Sentry full reference](/ai-agents/connectors/sentry/REFERENCE.md): This is the full reference documentation for the Sentry agent connector. #### shopify The Shopify agent connector is a Python package that equips AI agents to interact with Shopify through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Shopify](/ai-agents/connectors/shopify.md): The Shopify agent connector is a Python package that equips AI agents to interact with Shopify through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Shopify agent connector. - [Shopify authentication](/ai-agents/connectors/shopify/AUTH.md): This page documents the authentication and configuration options for the Shopify agent connector. ##### REFERENCE This is the full reference documentation for the Shopify agent connector. - [Shopify full reference](/ai-agents/connectors/shopify/REFERENCE.md): This is the full reference documentation for the Shopify agent connector. #### slack The Slack agent connector is a Python package that equips AI agents to interact with Slack through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Slack](/ai-agents/connectors/slack.md): The Slack agent connector is a Python package that equips AI agents to interact with Slack through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Slack agent connector. - [Slack authentication](/ai-agents/connectors/slack/AUTH.md): This page documents the authentication and configuration options for the Slack agent connector. ##### REFERENCE This is the full reference documentation for the Slack agent connector. - [Slack full reference](/ai-agents/connectors/slack/REFERENCE.md): This is the full reference documentation for the Slack agent connector. #### snapchat-marketing The Snapchat-Marketing agent connector is a Python package that equips AI agents to interact with Snapchat-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Snapchat-Marketing](/ai-agents/connectors/snapchat-marketing.md): The Snapchat-Marketing agent connector is a Python package that equips AI agents to interact with Snapchat-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Snapchat-Marketing agent connector. - [Snapchat-Marketing authentication](/ai-agents/connectors/snapchat-marketing/AUTH.md): This page documents the authentication and configuration options for the Snapchat-Marketing agent connector. ##### REFERENCE This is the full reference documentation for the Snapchat-Marketing agent connector. - [Snapchat-Marketing full reference](/ai-agents/connectors/snapchat-marketing/REFERENCE.md): This is the full reference documentation for the Snapchat-Marketing agent connector. #### snowflake The Snowflake agent connector is a Python package that equips AI agents to interact with Snowflake through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Snowflake](/ai-agents/connectors/snowflake.md): The Snowflake agent connector is a Python package that equips AI agents to interact with Snowflake through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Snowflake agent connector. - [Snowflake authentication](/ai-agents/connectors/snowflake/AUTH.md): This page documents the authentication and configuration options for the Snowflake agent connector. ##### REFERENCE This is the full reference documentation for the Snowflake agent connector. - [Snowflake full reference](/ai-agents/connectors/snowflake/REFERENCE.md): This is the full reference documentation for the Snowflake agent connector. #### stripe The Stripe agent connector is a Python package that equips AI agents to interact with Stripe through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Stripe](/ai-agents/connectors/stripe.md): The Stripe agent connector is a Python package that equips AI agents to interact with Stripe through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Stripe agent connector. - [Stripe authentication](/ai-agents/connectors/stripe/AUTH.md): This page documents the authentication and configuration options for the Stripe agent connector. ##### REFERENCE This is the full reference documentation for the Stripe agent connector. - [Stripe full reference](/ai-agents/connectors/stripe/REFERENCE.md): This is the full reference documentation for the Stripe agent connector. #### tiktok-marketing The Tiktok-Marketing agent connector is a Python package that equips AI agents to interact with Tiktok-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Tiktok-Marketing](/ai-agents/connectors/tiktok-marketing.md): The Tiktok-Marketing agent connector is a Python package that equips AI agents to interact with Tiktok-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Tiktok-Marketing agent connector. - [Tiktok-Marketing authentication](/ai-agents/connectors/tiktok-marketing/AUTH.md): This page documents the authentication and configuration options for the Tiktok-Marketing agent connector. ##### REFERENCE This is the full reference documentation for the Tiktok-Marketing agent connector. - [Tiktok-Marketing full reference](/ai-agents/connectors/tiktok-marketing/REFERENCE.md): This is the full reference documentation for the Tiktok-Marketing agent connector. #### twilio The Twilio agent connector is a Python package that equips AI agents to interact with Twilio through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Twilio](/ai-agents/connectors/twilio.md): The Twilio agent connector is a Python package that equips AI agents to interact with Twilio through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Twilio agent connector. - [Twilio authentication](/ai-agents/connectors/twilio/AUTH.md): This page documents the authentication and configuration options for the Twilio agent connector. ##### REFERENCE This is the full reference documentation for the Twilio agent connector. - [Twilio full reference](/ai-agents/connectors/twilio/REFERENCE.md): This is the full reference documentation for the Twilio agent connector. #### typeform The Typeform agent connector is a Python package that equips AI agents to interact with Typeform through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Typeform](/ai-agents/connectors/typeform.md): The Typeform agent connector is a Python package that equips AI agents to interact with Typeform through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Typeform agent connector. - [Typeform authentication](/ai-agents/connectors/typeform/AUTH.md): This page documents the authentication and configuration options for the Typeform agent connector. ##### REFERENCE This is the full reference documentation for the Typeform agent connector. - [Typeform full reference](/ai-agents/connectors/typeform/REFERENCE.md): This is the full reference documentation for the Typeform agent connector. #### woocommerce The Woocommerce agent connector is a Python package that equips AI agents to interact with Woocommerce through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Woocommerce](/ai-agents/connectors/woocommerce.md): The Woocommerce agent connector is a Python package that equips AI agents to interact with Woocommerce through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Woocommerce agent connector. - [Woocommerce authentication](/ai-agents/connectors/woocommerce/AUTH.md): This page documents the authentication and configuration options for the Woocommerce agent connector. ##### REFERENCE This is the full reference documentation for the Woocommerce agent connector. - [Woocommerce full reference](/ai-agents/connectors/woocommerce/REFERENCE.md): This is the full reference documentation for the Woocommerce agent connector. #### zendesk-chat The Zendesk-Chat agent connector is a Python package that equips AI agents to interact with Zendesk-Chat through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Zendesk-Chat](/ai-agents/connectors/zendesk-chat.md): The Zendesk-Chat agent connector is a Python package that equips AI agents to interact with Zendesk-Chat through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Zendesk-Chat agent connector. - [Zendesk-Chat authentication](/ai-agents/connectors/zendesk-chat/AUTH.md): This page documents the authentication and configuration options for the Zendesk-Chat agent connector. ##### REFERENCE This is the full reference documentation for the Zendesk-Chat agent connector. - [Zendesk-Chat full reference](/ai-agents/connectors/zendesk-chat/REFERENCE.md): This is the full reference documentation for the Zendesk-Chat agent connector. #### zendesk-support The Zendesk-Support agent connector is a Python package that equips AI agents to interact with Zendesk-Support through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Zendesk-Support](/ai-agents/connectors/zendesk-support.md): The Zendesk-Support agent connector is a Python package that equips AI agents to interact with Zendesk-Support through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Zendesk-Support agent connector. - [Zendesk-Support authentication](/ai-agents/connectors/zendesk-support/AUTH.md): This page documents the authentication and configuration options for the Zendesk-Support agent connector. ##### REFERENCE This is the full reference documentation for the Zendesk-Support agent connector. - [Zendesk-Support full reference](/ai-agents/connectors/zendesk-support/REFERENCE.md): This is the full reference documentation for the Zendesk-Support agent connector. #### zendesk-talk The Zendesk-Talk agent connector is a Python package that equips AI agents to interact with Zendesk-Talk through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Zendesk-Talk](/ai-agents/connectors/zendesk-talk.md): The Zendesk-Talk agent connector is a Python package that equips AI agents to interact with Zendesk-Talk through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Zendesk-Talk agent connector. - [Zendesk-Talk authentication](/ai-agents/connectors/zendesk-talk/AUTH.md): This page documents the authentication and configuration options for the Zendesk-Talk agent connector. ##### REFERENCE This is the full reference documentation for the Zendesk-Talk agent connector. - [Zendesk-Talk full reference](/ai-agents/connectors/zendesk-talk/REFERENCE.md): This is the full reference documentation for the Zendesk-Talk agent connector. #### zoho-crm The Zoho-Crm agent connector is a Python package that equips AI agents to interact with Zoho-Crm through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. - [Zoho-Crm](/ai-agents/connectors/zoho-crm.md): The Zoho-Crm agent connector is a Python package that equips AI agents to interact with Zoho-Crm through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP. ##### AUTH This page documents the authentication and configuration options for the Zoho-Crm agent connector. - [Zoho-Crm authentication](/ai-agents/connectors/zoho-crm/AUTH.md): This page documents the authentication and configuration options for the Zoho-Crm agent connector. ##### REFERENCE This is the full reference documentation for the Zoho-Crm agent connector. - [Zoho-Crm full reference](/ai-agents/connectors/zoho-crm/REFERENCE.md): This is the full reference documentation for the Zoho-Crm agent connector. ### get-started New to Airbyte Agents? Start here. Learn what the product is, choose the right interface for your use case, or jump straight into building. Sign up at app.airbyte.ai. - [Get started](/ai-agents/get-started.md): New to Airbyte Agents? Start here. Learn what the product is, choose the right interface for your use case, or jump straight into building. Sign up at app.airbyte.ai. #### choose-how-to-use Airbyte Agents offers several interfaces. They all share the same platform, the same connectors, and the same Context Store, so you can start with one and add others as your needs grow. - [Choose how to use Airbyte Agents](/ai-agents/get-started/choose-how-to-use.md): Airbyte Agents offers several interfaces. They all share the same platform, the same connectors, and the same Context Store, so you can start with one and add others as your needs grow. #### developer-quickstart This section is for developers who want to build agents that use Airbyte connectors. Pick a path based on how you prefer to work. - [Developer quickstart](/ai-agents/get-started/developer-quickstart.md): This section is for developers who want to build agents that use Airbyte connectors. Pick a path based on how you prefer to work. ##### skills Skills are self-contained packages of context and instructions you give to an AI agent so it can generate working code against Airbyte. A skill teaches the agent the architecture, endpoints, authentication flow, and code patterns it needs to integrate Airbyte agent connectors into whatever it's building for you. - [Skills](/ai-agents/get-started/developer-quickstart/skills.md): Skills are self-contained packages of context and instructions you give to an AI agent so it can generate working code against Airbyte. A skill teaches the agent the architecture, endpoints, authentication flow, and code patterns it needs to integrate Airbyte agent connectors into whatever it's building for you. - [Claude Code](/ai-agents/get-started/developer-quickstart/skills/claude-code.md): Claude Code is the coding agent from Anthropic that runs in your terminal and integrates with editors like VS Code and Cursor. The airbyte-agent-sdk repository publishes a set of Claude skills that teach Claude Code how to build agents on top of the Airbyte typed Python SDK. Once you install the skills, Claude Code reads them on demand whenever you ask it to work with Airbyte connectors. - [Codex](/ai-agents/get-started/developer-quickstart/skills/codex.md): Codex is the coding agent from OpenAI that runs locally in your terminal and loads skills from ~/.codex/skills/. The airbyte-agent-sdk repository publishes a set of Codex skills that teach Codex how to build agents on top of the Airbyte typed Python SDK. Once you install the skills, Codex reads them on demand whenever you ask it to work with Airbyte connectors. - [Lovable](/ai-agents/get-started/developer-quickstart/skills/lovable.md): Lovable is an AI app builder that generates full-stack React and Supabase applications from natural-language prompts. Lovable doesn't expose a dedicated "skills" surface, but you can give it the same context two different ways: paste the skill directly into the prompt you use to build the app, or add it to Project/Workspace Knowledge. ##### tutorial-fastmcp In this tutorial, you'll create a new Python project with uv, build a FastMCP server that exposes one of Airbyte's agent connectors as an MCP tool, and use it to query GitHub data from any MCP-compatible agent. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. - [FastMCP quickstart](/ai-agents/get-started/developer-quickstart/tutorial-fastmcp.md): In this tutorial, you'll create a new Python project with uv, build a FastMCP server that exposes one of Airbyte's agent connectors as an MCP tool, and use it to query GitHub data from any MCP-compatible agent. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. ##### tutorial-langchain In this tutorial, you'll create a new Python project with uv, add a LangChain agent, equip it with one of Airbyte's agent connectors, and use natural language to explore your data. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. - [LangChain quickstart](/ai-agents/get-started/developer-quickstart/tutorial-langchain.md): In this tutorial, you'll create a new Python project with uv, add a LangChain agent, equip it with one of Airbyte's agent connectors, and use natural language to explore your data. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. ##### tutorial-pydantic In this tutorial, you'll create a new Python project with uv, add a Pydantic AI agent, equip it with one of Airbyte's agent connectors, and use natural language to explore your data. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. - [Pydantic AI quickstart](/ai-agents/get-started/developer-quickstart/tutorial-pydantic.md): In this tutorial, you'll create a new Python project with uv, add a Pydantic AI agent, equip it with one of Airbyte's agent connectors, and use natural language to explore your data. This tutorial uses GitHub, but if you don't have a GitHub account you can swap in any other agent connector and perform different operations. #### what-is-airbyte-agents Airbyte Agents gives AI agents reliable, real-time access to your business data. It connects agents to the tools your organization runs on, unifies that data into one searchable layer, and lets agents read, search, and write across every connected system. - [What is Airbyte Agents?](/ai-agents/get-started/what-is-airbyte-agents.md): Airbyte Agents gives AI agents reliable, real-time access to your business data. It connects agents to the tools your organization runs on, unifies that data into one searchable layer, and lets agents read, search, and write across every connected system. ### interfaces Airbyte Agents supports several interfaces for working with your data and your agents. Choose the interface that best fits how you want to build and run agents. - [Interfaces](/ai-agents/interfaces.md): Airbyte Agents supports several interfaces for working with your data and your agents. Choose the interface that best fits how you want to build and run agents. #### api The Agent API lets you manage connectors, credentials, and data operations programmatically over HTTP. Use it to integrate Airbyte Agents into any language or framework, or to build custom backend services that interact with third-party data sources. - [API](/ai-agents/interfaces/api.md): The Agent API lets you manage connectors, credentials, and data operations programmatically over HTTP. Use it to integrate Airbyte Agents into any language or framework, or to build custom backend services that interact with third-party data sources. ##### add-connector A connector in Airbyte Agents is a stored set of credentials for a third-party service plus everything needed to execute operations against it. You create a connector once, then reuse the returned connector ID on every subsequent call. - [Add a connector](/ai-agents/interfaces/api/add-connector.md): A connector in Airbyte Agents is a stored set of credentials for a third-party service plus everything needed to execute operations against it. You create a connector once, then reuse the returned connector ID on every subsequent call. ##### authentication You authenticate with the Agent API using your Airbyte Agents client credentials. Airbyte stores the credentials for each connector securely and mints short-lived tokens for your backend to call. - [Authenticate](/ai-agents/interfaces/api/authentication.md): You authenticate with the Agent API using your Airbyte Agents client credentials. Airbyte stores the credentials for each connector securely and mints short-lived tokens for your backend to call. ##### execute You can execute operations directly through the Agent API. This approach is useful when you're not using Python, when building custom integrations, or when you need to execute operations from a backend service. - [Execute operations](/ai-agents/interfaces/api/execute.md): You can execute operations directly through the Agent API. This approach is useful when you're not using Python, when building custom integrations, or when you need to execute operations from a backend service. ##### workspaces Listing every workspace, updating a workspace's status, deleting a workspace, and reading workspace metadata are exposed through the API only. The SDK's workspace class covers what most apps need day-to-day; come here for the administrative operations on top. - [Manage workspaces](/ai-agents/interfaces/api/workspaces.md): Listing every workspace, updating a workspace's status, deleting a workspace, and reading workspace metadata are exposed through the API only. The SDK's workspace class covers what most apps need day-to-day; come here for the administrative operations on top. #### cli The Airbyte Agent CLI (airbyte-agent) is a Go command-line interface for Airbyte Agents. Use it from a terminal, script, CI job, or agent harness to list workspaces, add connectors, inspect connector schemas, and execute connector actions. - [CLI](/ai-agents/interfaces/cli.md): The Airbyte Agent CLI (airbyte-agent) is a Go command-line interface for Airbyte Agents. Use it from a terminal, script, CI job, or agent harness to list workspaces, add connectors, inspect connector schemas, and execute connector actions. ##### add-connector A connector stores credentials and configuration for a third-party service in an Airbyte Agents workspace. Create a connector once, then reference it by id when you describe it or execute actions. - [Add a connector](/ai-agents/interfaces/cli/add-connector.md): A connector stores credentials and configuration for a third-party service in an Airbyte Agents workspace. Create a connector once, then reference it by id when you describe it or execute actions. ##### authenticate The CLI needs three values to call the Airbyte Agent API: - [Authenticate](/ai-agents/interfaces/cli/authenticate.md): The CLI needs three values to call the Airbyte Agent API: ##### command-reference Run airbyte-agent --help to list top-level commands, airbyte-agent --help to list operations, and airbyte-agent --help for operation flags. - [Command reference](/ai-agents/interfaces/cli/command-reference.md): Run airbyte-agent --help to list top-level commands, airbyte-agent --help to list operations, and airbyte-agent --help for operation flags. ##### describe-connector Use connectors describe to inspect a configured connector before executing actions against it. The response includes the connector details plus a schema object returned by the connector's describe action. - [Describe a connector](/ai-agents/interfaces/cli/describe-connector.md): Use connectors describe to inspect a configured connector before executing actions against it. The response includes the connector details plus a schema object returned by the connector's describe action. ##### execute connectors execute runs an action against an entity on a configured connector. Use it for reads, searches, creates, and updates. - [Execute operations](/ai-agents/interfaces/cli/execute.md): connectors execute runs an action against an entity on a configured connector. Use it for reads, searches, creates, and updates. ##### troubleshooting Use the JSON error on stderr as the primary signal. Exit codes are useful, but the type, message, and hint fields usually tell you what to fix. - [Troubleshoot the CLI](/ai-agents/interfaces/cli/troubleshooting.md): Use the JSON error on stderr as the primary signal. Exit codes are useful, but the type, message, and hint fields usually tell you what to fix. ##### using-with-ai-agents AI agents can call airbyte-agent as a shell tool. The CLI gives agents a consistent command model, JSON input and output, and runtime schema discovery. - [Use the CLI with AI agents](/ai-agents/interfaces/cli/using-with-ai-agents.md): AI agents can call airbyte-agent as a shell tool. The CLI gives agents a consistent command model, JSON input and output, and runtime schema discovery. ##### workspaces Use workspaces commands to list workspaces and save a default workspace. Use organizations commands to list organizations and save a default organization. - [Manage workspaces and organizations](/ai-agents/interfaces/cli/workspaces.md): Use workspaces commands to list workspaces and save a default workspace. Use organizations commands to list organizations and save a default organization. #### mcp The Agent MCP connects your AI agent to your data through the Model Context Protocol (MCP). It gives your agent authenticated access to the platforms you use every day, like your CRM, support desk, analytics tools, and more, so your agent can read and write data on your behalf. See Connectors for a list of available connectors. - [Agent MCP](/ai-agents/interfaces/mcp.md): The Agent MCP connects your AI agent to your data through the Model Context Protocol (MCP). It gives your agent authenticated access to the platforms you use every day, like your CRM, support desk, analytics tools, and more, so your agent can read and write data on your behalf. See Connectors for a list of available connectors. #### sdk The Agent SDK (airbyteagentsdk) is the Python interface for Airbyte Agents. With one install you get typed connectors, automatic credential handling, direct execution, and patterns for exposing connectors as tools to AI agent frameworks. - [SDK](/ai-agents/interfaces/sdk.md): The Agent SDK (airbyteagentsdk) is the Python interface for Airbyte Agents. With one install you get typed connectors, automatic credential handling, direct execution, and patterns for exposing connectors as tools to AI agent frameworks. ##### add-connector List, get, and delete connectors for third-party services. - [Add a connector](/ai-agents/interfaces/sdk/add-connector.md): List, get, and delete connectors for third-party services. ##### authenticate The SDK authenticates with Airbyte Agents using an Airbyte clientid and clientsecret. Once the SDK has these, it handles the rest: fetching tokens, refreshing them before they expire, and attaching them to every request. You never manage tokens yourself. - [Authenticate](/ai-agents/interfaces/sdk/authenticate.md): The SDK authenticates with Airbyte Agents using an Airbyte clientid and clientsecret. Once the SDK has these, it handles the rest: fetching tokens, refreshing them before they expire, and attaching them to every request. You never manage tokens yourself. ##### execute Once you've added a connector to your workspace, you can run operations against it from Python. The SDK offers direct execution and patterns for exposing a connector as a tool to an AI agent framework. - [Execute operations](/ai-agents/interfaces/sdk/execute.md): Once you've added a connector to your workspace, you can run operations against it from Python. The SDK offers direct execution and patterns for exposing a connector as a tool to an AI agent framework. ##### workspaces A workspace is a container inside your Airbyte Agents organization that holds a set of connectors and credentials. A token scoped to one workspace can't reach another. - [Manage workspaces](/ai-agents/interfaces/sdk/workspaces.md): A workspace is a container inside your Airbyte Agents organization that holds a set of connectors and credentials. A token scoped to one workspace can't reach another. #### ui The Airbyte Agents web app at app.airbyte.ai is the fastest way to use Airbyte Agents without writing code. Describe what you want in natural language, and Airbyte picks the right connectors, makes the necessary tool calls, and replies with an answer grounded in your data. - [Web app](/ai-agents/interfaces/ui.md): The Airbyte Agents web app at app.airbyte.ai is the fastest way to use Airbyte Agents without writing code. Describe what you want in natural language, and Airbyte picks the right connectors, makes the necessary tool calls, and replies with an answer grounded in your data. ##### add-connector Before an Airbyte agent can read from or write to a data source, someone has to authenticate that source for the workspace. In the web app, that happens on the Connectors page. Adding a connector means picking a workspace, picking a data source, and completing an authentication flow once; after that, every interface you use (Chats, Automations, the SDK, the API, and the MCP server) can use the resulting connector. - [Add a connector](/ai-agents/interfaces/ui/add-connector.md): Before an Airbyte agent can read from or write to a data source, someone has to authenticate that source for the workspace. In the web app, that happens on the Connectors page. Adding a connector means picking a workspace, picking a data source, and completing an authentication flow once; after that, every interface you use (Chats, Automations, the SDK, the API, and the MCP server) can use the resulting connector. ##### automations Automations are currently in Research Preview. Features, interfaces, and behavior may change as the product evolves. - [Automations](/ai-agents/interfaces/ui/automations.md): Automations are currently in Research Preview. Features, interfaces, and behavior may change as the product evolves. ##### chats A Chat is a conversation between you and an Airbyte agent in the web app. You send a prompt, the agent decides which connectors to use and which tool calls to make, and it replies with an answer grounded in your data. Chats are the fastest way to explore data, get a one-off answer, or prototype an idea before turning it into a reusable Automation. - [Chats](/ai-agents/interfaces/ui/chats.md): A Chat is a conversation between you and an Airbyte agent in the web app. You send a prompt, the agent decides which connectors to use and which tool calls to make, and it replies with an answer grounded in your data. Chats are the fastest way to explore data, get a one-off answer, or prototype an idea before turning it into a reusable Automation. ### reference Reference documentation for Airbyte Agents. - [Reference](/ai-agents/reference.md): Reference documentation for Airbyte Agents. #### api Complete reference for the Agent API. For a guided introduction, authentication, and example requests, see the API interface documentation. - [API reference](/ai-agents/reference/api.md): Complete reference for the Agent API. For a guided introduction, authentication, and example requests, see the API interface documentation. ##### api-reference - [Airbyte Agent API](/ai-agents/reference/api/api-reference/airbyte-agent-api.md): This is the public API documentation for Airbyte's Agent API. Use the API to manage authentication, connectors, and workspaces, and power their agentic workflows. - [Authentication](/ai-agents/reference/api/api-reference/authentication.md): Authentication - [Authentication (Advanced)](/ai-agents/reference/api/api-reference/authentication-advanced.md): Authentication (Advanced) - [Connectors](/ai-agents/reference/api/api-reference/connectors.md): Connectors - [Connectors (Advanced)](/ai-agents/reference/api/api-reference/connectors-advanced.md): Connectors (Advanced) - [Create Scoped Token](/ai-agents/reference/api/api-reference/create-account-applications-scoped-token.md): **Requires an Access Token as the bearer token.** - [Generate Application Token](/ai-agents/reference/api/api-reference/create-account-applications-token.md): Generate an application access token using client credentials. This endpoint is intentionally unauthenticated - authentication is performed via client_id and client_secret in the request body. Returns a self-signed JWT token that can be used for all API calls. - [Create Widget Token](/ai-agents/reference/api/api-reference/create-account-applications-widget-token.md): **Requires an Access Token as the bearer token.** - [Create a connector](/ai-agents/reference/api/api-reference/create-integrations-connectors.md): **Requires an Access Token as the bearer token.** - [Check config when creating a connector](/ai-agents/reference/api/api-reference/create-integrations-connectors-check.md): **Requires an Access Token as the bearer token.** - [Check config when updating a connector](/ai-agents/reference/api/api-reference/create-integrations-connectors-id-check.md): Check source configuration before updating an existing source. - [Execute actions](/ai-agents/reference/api/api-reference/create-integrations-connectors-id-execute.md): Execute a connector operation using an Airbyte Platform connector ID. - [Create Connection Template](/ai-agents/reference/api/api-reference/create-integrations-templates-connections.md): **Requires an Access Token as the bearer token.** - [Describe Cron Expression](/ai-agents/reference/api/api-reference/create-integrations-templates-connections-cron-describe.md): **Requires an Access Token as the bearer token.** - [Enable a connector](/ai-agents/reference/api/api-reference/create-integrations-templates-sources.md): **Requires an Access Token as the bearer token.** - [Data replication](/ai-agents/reference/api/api-reference/data-replication.md): Data replication - [Delete a connector](/ai-agents/reference/api/api-reference/delete-integrations-connectors-id.md): **Requires an Access Token as the bearer token.** - [Delete Connection Template](/ai-agents/reference/api/api-reference/delete-integrations-templates-connections-id.md): **Requires an Access Token as the bearer token.** - [Disable a connector](/ai-agents/reference/api/api-reference/delete-integrations-templates-sources-id.md): **Requires an Access Token as the bearer token.** - [Delete connector OAuth](/ai-agents/reference/api/api-reference/delete-oauth-credentials-connector-type-connector-type.md): Delete OAuth credentials for the user's organization. - [Delete Workspace](/ai-agents/reference/api/api-reference/delete-workspaces-workspace-id.md): Delete a workspace. Removes the workspace from the Data Replication Platform and soft-deletes locally. - [Get Scoped Token Info](/ai-agents/reference/api/api-reference/get-account-applications-scoped-token-info.md): **Requires a Scoped Token as the bearer token.** - [Get a connector](/ai-agents/reference/api/api-reference/get-integrations-connectors-id.md): **Requires an Access Token as the bearer token.** - [Get Destination Definition](/ai-agents/reference/api/api-reference/get-integrations-definitions-destinations-id.md): **Requires an Access Token as the bearer token.** - [Get a connector definition](/ai-agents/reference/api/api-reference/get-integrations-definitions-sources-id.md): **Requires an Access Token as the bearer token.** - [Get Connection Template](/ai-agents/reference/api/api-reference/get-integrations-templates-connections-id.md): **Requires an Access Token as the bearer token.** - [Get an enabled connector](/ai-agents/reference/api/api-reference/get-integrations-templates-sources-id.md): **Requires an Access Token as the bearer token.** - [Get Workspace Stats](/ai-agents/reference/api/api-reference/get-workspaces-stats.md): Get workspace statistics for the authenticated organization. - [Get Workspace](/ai-agents/reference/api/api-reference/get-workspaces-workspace-id.md): Get a single workspace by ID. - [List connectors](/ai-agents/reference/api/api-reference/list-integrations-connectors.md): **Requires an Access Token as the bearer token.** - [List Destination Definitions](/ai-agents/reference/api/api-reference/list-integrations-definitions-destinations.md): **Requires an Access Token as the bearer token.** - [List connector definitions](/ai-agents/reference/api/api-reference/list-integrations-definitions-sources.md): **Requires an Access Token as the bearer token.** - [List Connection Templates](/ai-agents/reference/api/api-reference/list-integrations-templates-connections.md): **Requires an Access Token as the bearer token.** - [List enabled connectors](/ai-agents/reference/api/api-reference/list-integrations-templates-sources.md): **Requires an Access Token as the bearer token.** - [List Workspaces](/ai-agents/reference/api/api-reference/list-workspaces.md): List workspaces for the authenticated organization with cursor-based pagination. - [Update a connector](/ai-agents/reference/api/api-reference/update-integrations-connectors-id.md): **Requires an Access Token as the bearer token.** - [Patch Connection Template](/ai-agents/reference/api/api-reference/update-integrations-templates-connections-id.md): **Requires an Access Token as the bearer token.** - [Update an enabled connector](/ai-agents/reference/api/api-reference/update-integrations-templates-sources-id.md): **Requires an Access Token as the bearer token.** - [Configure connector OAuth](/ai-agents/reference/api/api-reference/update-oauth-credentials.md): Create or update OAuth credentials for the user's organization. - [Update Workspace](/ai-agents/reference/api/api-reference/update-workspaces-workspace-id.md): Update a workspace's name, status, and/or cache setting. - [Workspaces](/ai-agents/reference/api/api-reference/workspaces.md): Workspaces #### sdk Complete reference for the Agent SDK (airbyteagentsdk). For a guided introduction, authentication, and example code, see the SDK interface documentation. - [SDK reference](/ai-agents/reference/sdk.md): Complete reference for the Agent SDK (airbyteagentsdk). For a guided introduction, authentication, and example code, see the SDK interface documentation. ##### airbyte_agent_sdk A type-safe Python SDK for executing Airbyte connectors from an application - [Module airbyte_agent_sdk](/ai-agents/reference/sdk/airbyte_agent_sdk.md): A type-safe Python SDK for executing Airbyte connectors from an application - [Module airbyte_agent_sdk.auth_strategies](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-auth_strategies.md): Authentication strategy pattern implementation for HTTP client. - [Module airbyte_agent_sdk.config](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-config.md): Global SDK configuration for Airbyte credentials. - [Module airbyte_agent_sdk.constants](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-constants.md): Constants used throughout the Airbyte SDK. - [Module airbyte_agent_sdk.http_client](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-http_client.md): Async HTTP client with connection pooling, auth injection, metrics, and retry support. - [Module airbyte_agent_sdk.types](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-types.md): Type definitions for Airbyte SDK. - [Module airbyte_agent_sdk.utils](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-utils.md): Utility functions for working with connectors. - [Module airbyte_agent_sdk.workspace](/ai-agents/reference/sdk/airbyte_agent_sdk/airbyte_agent_sdk-workspace.md): Workspace — top-level entry point for hosted-mode workspace operations. - [Module airbyte_agent_sdk.connectors](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors.md): Sub-modules - [Module airbyte_agent_sdk.connectors.airtable](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/airtable.md): Airtable connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.airtable.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/airtable/airbyte_agent_sdk-connectors-airtable-connector.md): Airtable connector. - [Module airbyte_agent_sdk.connectors.airtable.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/airtable/airbyte_agent_sdk-connectors-airtable-connector_model.md): Connector model for airtable. - [Module airbyte_agent_sdk.connectors.airtable.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/airtable/airbyte_agent_sdk-connectors-airtable-models.md): Pydantic models for airtable connector. - [Module airbyte_agent_sdk.connectors.airtable.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/airtable/airbyte_agent_sdk-connectors-airtable-types.md): Type definitions for airtable connector. - [Module airbyte_agent_sdk.connectors.amazon_ads](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_ads.md): Amazon-Ads connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.amazon_ads.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_ads/airbyte_agent_sdk-connectors-amazon_ads-connector.md): Amazon-Ads connector. - [Module airbyte_agent_sdk.connectors.amazon_ads.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_ads/airbyte_agent_sdk-connectors-amazon_ads-connector_model.md): Connector model for amazon-ads. - [Module airbyte_agent_sdk.connectors.amazon_ads.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_ads/airbyte_agent_sdk-connectors-amazon_ads-models.md): Pydantic models for amazon-ads connector. - [Module airbyte_agent_sdk.connectors.amazon_ads.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_ads/airbyte_agent_sdk-connectors-amazon_ads-types.md): Type definitions for amazon-ads connector. - [Module airbyte_agent_sdk.connectors.amazon_seller_partner](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_seller_partner.md): Amazon-Seller-Partner connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.amazon_seller_partner.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_seller_partner/airbyte_agent_sdk-connectors-amazon_seller_partner-connector.md): Amazon-Seller-Partner connector. - [Module airbyte_agent_sdk.connectors.amazon_seller_partner.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_seller_partner/airbyte_agent_sdk-connectors-amazon_seller_partner-connector_model.md): Connector model for amazon-seller-partner. - [Module airbyte_agent_sdk.connectors.amazon_seller_partner.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_seller_partner/airbyte_agent_sdk-connectors-amazon_seller_partner-models.md): Pydantic models for amazon-seller-partner connector. - [Module airbyte_agent_sdk.connectors.amazon_seller_partner.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amazon_seller_partner/airbyte_agent_sdk-connectors-amazon_seller_partner-types.md): Type definitions for amazon-seller-partner connector. - [Module airbyte_agent_sdk.connectors.amplitude](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amplitude.md): Amplitude connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.amplitude.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amplitude/airbyte_agent_sdk-connectors-amplitude-connector.md): Amplitude connector. - [Module airbyte_agent_sdk.connectors.amplitude.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amplitude/airbyte_agent_sdk-connectors-amplitude-connector_model.md): Connector model for amplitude. - [Module airbyte_agent_sdk.connectors.amplitude.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amplitude/airbyte_agent_sdk-connectors-amplitude-models.md): Pydantic models for amplitude connector. - [Module airbyte_agent_sdk.connectors.amplitude.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/amplitude/airbyte_agent_sdk-connectors-amplitude-types.md): Type definitions for amplitude connector. - [Module airbyte_agent_sdk.connectors.asana](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/asana.md): Asana connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.asana.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/asana/airbyte_agent_sdk-connectors-asana-connector.md): Asana connector. - [Module airbyte_agent_sdk.connectors.asana.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/asana/airbyte_agent_sdk-connectors-asana-connector_model.md): Connector model for asana. - [Module airbyte_agent_sdk.connectors.asana.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/asana/airbyte_agent_sdk-connectors-asana-models.md): Pydantic models for asana connector. - [Module airbyte_agent_sdk.connectors.asana.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/asana/airbyte_agent_sdk-connectors-asana-types.md): Type definitions for asana connector. - [Module airbyte_agent_sdk.connectors.ashby](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/ashby.md): Ashby connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.ashby.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/ashby/airbyte_agent_sdk-connectors-ashby-connector.md): Ashby connector. - [Module airbyte_agent_sdk.connectors.ashby.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/ashby/airbyte_agent_sdk-connectors-ashby-connector_model.md): Connector model for ashby. - [Module airbyte_agent_sdk.connectors.ashby.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/ashby/airbyte_agent_sdk-connectors-ashby-models.md): Pydantic models for ashby connector. - [Module airbyte_agent_sdk.connectors.ashby.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/ashby/airbyte_agent_sdk-connectors-ashby-types.md): Type definitions for ashby connector. - [Module airbyte_agent_sdk.connectors.chargebee](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/chargebee.md): Chargebee connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.chargebee.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/chargebee/airbyte_agent_sdk-connectors-chargebee-connector.md): Chargebee connector. - [Module airbyte_agent_sdk.connectors.chargebee.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/chargebee/airbyte_agent_sdk-connectors-chargebee-connector_model.md): Connector model for chargebee. - [Module airbyte_agent_sdk.connectors.chargebee.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/chargebee/airbyte_agent_sdk-connectors-chargebee-models.md): Pydantic models for chargebee connector. - [Module airbyte_agent_sdk.connectors.chargebee.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/chargebee/airbyte_agent_sdk-connectors-chargebee-types.md): Type definitions for chargebee connector. - [Module airbyte_agent_sdk.connectors.clickup_api](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/clickup_api.md): Clickup-Api connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.clickup_api.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/clickup_api/airbyte_agent_sdk-connectors-clickup_api-connector.md): Clickup-Api connector. - [Module airbyte_agent_sdk.connectors.clickup_api.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/clickup_api/airbyte_agent_sdk-connectors-clickup_api-connector_model.md): Connector model for clickup-api. - [Module airbyte_agent_sdk.connectors.clickup_api.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/clickup_api/airbyte_agent_sdk-connectors-clickup_api-models.md): Pydantic models for clickup-api connector. - [Module airbyte_agent_sdk.connectors.clickup_api.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/clickup_api/airbyte_agent_sdk-connectors-clickup_api-types.md): Type definitions for clickup-api connector. - [Module airbyte_agent_sdk.connectors.confluence](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/confluence.md): Confluence connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.confluence.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/confluence/airbyte_agent_sdk-connectors-confluence-connector.md): Confluence connector. - [Module airbyte_agent_sdk.connectors.confluence.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/confluence/airbyte_agent_sdk-connectors-confluence-connector_model.md): Connector model for confluence. - [Module airbyte_agent_sdk.connectors.confluence.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/confluence/airbyte_agent_sdk-connectors-confluence-models.md): Pydantic models for confluence connector. - [Module airbyte_agent_sdk.connectors.confluence.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/confluence/airbyte_agent_sdk-connectors-confluence-types.md): Type definitions for confluence connector. - [Module airbyte_agent_sdk.connectors.customer_io](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/customer_io.md): Customer-Io connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.customer_io.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/customer_io/airbyte_agent_sdk-connectors-customer_io-connector.md): Customer-Io connector. - [Module airbyte_agent_sdk.connectors.customer_io.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/customer_io/airbyte_agent_sdk-connectors-customer_io-connector_model.md): Connector model for customer-io. - [Module airbyte_agent_sdk.connectors.customer_io.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/customer_io/airbyte_agent_sdk-connectors-customer_io-models.md): Pydantic models for customer-io connector. - [Module airbyte_agent_sdk.connectors.customer_io.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/customer_io/airbyte_agent_sdk-connectors-customer_io-types.md): Type definitions for customer-io connector. - [Module airbyte_agent_sdk.connectors.facebook_marketing](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/facebook_marketing.md): Facebook-Marketing connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.facebook_marketing.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/facebook_marketing/airbyte_agent_sdk-connectors-facebook_marketing-connector.md): Facebook-Marketing connector. - [Module airbyte_agent_sdk.connectors.facebook_marketing.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/facebook_marketing/airbyte_agent_sdk-connectors-facebook_marketing-connector_model.md): Connector model for facebook-marketing. - [Module airbyte_agent_sdk.connectors.facebook_marketing.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/facebook_marketing/airbyte_agent_sdk-connectors-facebook_marketing-models.md): Pydantic models for facebook-marketing connector. - [Module airbyte_agent_sdk.connectors.facebook_marketing.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/facebook_marketing/airbyte_agent_sdk-connectors-facebook_marketing-types.md): Type definitions for facebook-marketing connector. - [Module airbyte_agent_sdk.connectors.freshdesk](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/freshdesk.md): Freshdesk connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.freshdesk.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/freshdesk/airbyte_agent_sdk-connectors-freshdesk-connector.md): Freshdesk connector. - [Module airbyte_agent_sdk.connectors.freshdesk.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/freshdesk/airbyte_agent_sdk-connectors-freshdesk-connector_model.md): Connector model for freshdesk. - [Module airbyte_agent_sdk.connectors.freshdesk.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/freshdesk/airbyte_agent_sdk-connectors-freshdesk-models.md): Pydantic models for freshdesk connector. - [Module airbyte_agent_sdk.connectors.freshdesk.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/freshdesk/airbyte_agent_sdk-connectors-freshdesk-types.md): Type definitions for freshdesk connector. - [Module airbyte_agent_sdk.connectors.github](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/github.md): Github connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.github.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/github/airbyte_agent_sdk-connectors-github-connector.md): Github connector. - [Module airbyte_agent_sdk.connectors.github.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/github/airbyte_agent_sdk-connectors-github-connector_model.md): Connector model for github. - [Module airbyte_agent_sdk.connectors.github.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/github/airbyte_agent_sdk-connectors-github-models.md): Pydantic models for github connector. - [Module airbyte_agent_sdk.connectors.github.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/github/airbyte_agent_sdk-connectors-github-types.md): Type definitions for github connector. - [Module airbyte_agent_sdk.connectors.gitlab](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gitlab.md): Gitlab connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.gitlab.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gitlab/airbyte_agent_sdk-connectors-gitlab-connector.md): Gitlab connector. - [Module airbyte_agent_sdk.connectors.gitlab.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gitlab/airbyte_agent_sdk-connectors-gitlab-connector_model.md): Connector model for gitlab. - [Module airbyte_agent_sdk.connectors.gitlab.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gitlab/airbyte_agent_sdk-connectors-gitlab-models.md): Pydantic models for gitlab connector. - [Module airbyte_agent_sdk.connectors.gitlab.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gitlab/airbyte_agent_sdk-connectors-gitlab-types.md): Type definitions for gitlab connector. - [Module airbyte_agent_sdk.connectors.gmail](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gmail.md): Gmail connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.gmail.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gmail/airbyte_agent_sdk-connectors-gmail-connector.md): Gmail connector. - [Module airbyte_agent_sdk.connectors.gmail.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gmail/airbyte_agent_sdk-connectors-gmail-connector_model.md): Connector model for gmail. - [Module airbyte_agent_sdk.connectors.gmail.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gmail/airbyte_agent_sdk-connectors-gmail-models.md): Pydantic models for gmail connector. - [Module airbyte_agent_sdk.connectors.gmail.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gmail/airbyte_agent_sdk-connectors-gmail-types.md): Type definitions for gmail connector. - [Module airbyte_agent_sdk.connectors.gong](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gong.md): Gong connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.gong.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gong/airbyte_agent_sdk-connectors-gong-connector.md): Gong connector. - [Module airbyte_agent_sdk.connectors.gong.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gong/airbyte_agent_sdk-connectors-gong-connector_model.md): Connector model for gong. - [Module airbyte_agent_sdk.connectors.gong.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gong/airbyte_agent_sdk-connectors-gong-models.md): Pydantic models for gong connector. - [Module airbyte_agent_sdk.connectors.gong.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/gong/airbyte_agent_sdk-connectors-gong-types.md): Type definitions for gong connector. - [Module airbyte_agent_sdk.connectors.google_ads](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_ads.md): Google-Ads connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.google_ads.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_ads/airbyte_agent_sdk-connectors-google_ads-connector.md): Google-Ads connector. - [Module airbyte_agent_sdk.connectors.google_ads.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_ads/airbyte_agent_sdk-connectors-google_ads-connector_model.md): Connector model for google-ads. - [Module airbyte_agent_sdk.connectors.google_ads.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_ads/airbyte_agent_sdk-connectors-google_ads-models.md): Pydantic models for google-ads connector. - [Module airbyte_agent_sdk.connectors.google_ads.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_ads/airbyte_agent_sdk-connectors-google_ads-types.md): Type definitions for google-ads connector. - [Module airbyte_agent_sdk.connectors.google_analytics_data_api](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_analytics_data_api.md): Google-Analytics-Data-Api connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.google_analytics_data_api.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_analytics_data_api/airbyte_agent_sdk-connectors-google_analytics_data_api-connector.md): Google-Analytics-Data-Api connector. - [Module airbyte_agent_sdk.connectors.google_analytics_data_api.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_analytics_data_api/airbyte_agent_sdk-connectors-google_analytics_data_api-connector_model.md): Connector model for google-analytics-data-api. - [Module airbyte_agent_sdk.connectors.google_analytics_data_api.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_analytics_data_api/airbyte_agent_sdk-connectors-google_analytics_data_api-models.md): Pydantic models for google-analytics-data-api connector. - [Module airbyte_agent_sdk.connectors.google_analytics_data_api.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_analytics_data_api/airbyte_agent_sdk-connectors-google_analytics_data_api-types.md): Type definitions for google-analytics-data-api connector. - [Module airbyte_agent_sdk.connectors.google_drive](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_drive.md): Google-Drive connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.google_drive.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_drive/airbyte_agent_sdk-connectors-google_drive-connector.md): Google-Drive connector. - [Module airbyte_agent_sdk.connectors.google_drive.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_drive/airbyte_agent_sdk-connectors-google_drive-connector_model.md): Connector model for google-drive. - [Module airbyte_agent_sdk.connectors.google_drive.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_drive/airbyte_agent_sdk-connectors-google_drive-models.md): Pydantic models for google-drive connector. - [Module airbyte_agent_sdk.connectors.google_drive.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_drive/airbyte_agent_sdk-connectors-google_drive-types.md): Type definitions for google-drive connector. - [Module airbyte_agent_sdk.connectors.google_search_console](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_search_console.md): Google-Search-Console connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.google_search_console.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_search_console/airbyte_agent_sdk-connectors-google_search_console-connector.md): Google-Search-Console connector. - [Module airbyte_agent_sdk.connectors.google_search_console.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_search_console/airbyte_agent_sdk-connectors-google_search_console-connector_model.md): Connector model for google-search-console. - [Module airbyte_agent_sdk.connectors.google_search_console.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_search_console/airbyte_agent_sdk-connectors-google_search_console-models.md): Pydantic models for google-search-console connector. - [Module airbyte_agent_sdk.connectors.google_search_console.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/google_search_console/airbyte_agent_sdk-connectors-google_search_console-types.md): Type definitions for google-search-console connector. - [Module airbyte_agent_sdk.connectors.granola](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/granola.md): Granola connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.granola.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/granola/airbyte_agent_sdk-connectors-granola-connector.md): Granola connector. - [Module airbyte_agent_sdk.connectors.granola.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/granola/airbyte_agent_sdk-connectors-granola-connector_model.md): Connector model for granola. - [Module airbyte_agent_sdk.connectors.granola.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/granola/airbyte_agent_sdk-connectors-granola-models.md): Pydantic models for granola connector. - [Module airbyte_agent_sdk.connectors.granola.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/granola/airbyte_agent_sdk-connectors-granola-types.md): Type definitions for granola connector. - [Module airbyte_agent_sdk.connectors.greenhouse](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/greenhouse.md): Greenhouse connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.greenhouse.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/greenhouse/airbyte_agent_sdk-connectors-greenhouse-connector.md): Greenhouse connector. - [Module airbyte_agent_sdk.connectors.greenhouse.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/greenhouse/airbyte_agent_sdk-connectors-greenhouse-connector_model.md): Connector model for greenhouse. - [Module airbyte_agent_sdk.connectors.greenhouse.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/greenhouse/airbyte_agent_sdk-connectors-greenhouse-models.md): Pydantic models for greenhouse connector. - [Module airbyte_agent_sdk.connectors.greenhouse.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/greenhouse/airbyte_agent_sdk-connectors-greenhouse-types.md): Type definitions for greenhouse connector. - [Module airbyte_agent_sdk.connectors.harvest](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/harvest.md): Harvest connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.harvest.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/harvest/airbyte_agent_sdk-connectors-harvest-connector.md): Harvest connector. - [Module airbyte_agent_sdk.connectors.harvest.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/harvest/airbyte_agent_sdk-connectors-harvest-connector_model.md): Connector model for harvest. - [Module airbyte_agent_sdk.connectors.harvest.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/harvest/airbyte_agent_sdk-connectors-harvest-models.md): Pydantic models for harvest connector. - [Module airbyte_agent_sdk.connectors.harvest.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/harvest/airbyte_agent_sdk-connectors-harvest-types.md): Type definitions for harvest connector. - [Module airbyte_agent_sdk.connectors.hubspot](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/hubspot.md): Hubspot connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.hubspot.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/hubspot/airbyte_agent_sdk-connectors-hubspot-connector.md): Hubspot connector. - [Module airbyte_agent_sdk.connectors.hubspot.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/hubspot/airbyte_agent_sdk-connectors-hubspot-connector_model.md): Connector model for hubspot. - [Module airbyte_agent_sdk.connectors.hubspot.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/hubspot/airbyte_agent_sdk-connectors-hubspot-models.md): Pydantic models for hubspot connector. - [Module airbyte_agent_sdk.connectors.hubspot.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/hubspot/airbyte_agent_sdk-connectors-hubspot-types.md): Type definitions for hubspot connector. - [Module airbyte_agent_sdk.connectors.incident_io](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/incident_io.md): Incident-Io connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.incident_io.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/incident_io/airbyte_agent_sdk-connectors-incident_io-connector.md): Incident-Io connector. - [Module airbyte_agent_sdk.connectors.incident_io.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/incident_io/airbyte_agent_sdk-connectors-incident_io-connector_model.md): Connector model for incident-io. - [Module airbyte_agent_sdk.connectors.incident_io.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/incident_io/airbyte_agent_sdk-connectors-incident_io-models.md): Pydantic models for incident-io connector. - [Module airbyte_agent_sdk.connectors.incident_io.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/incident_io/airbyte_agent_sdk-connectors-incident_io-types.md): Type definitions for incident-io connector. - [Module airbyte_agent_sdk.connectors.intercom](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/intercom.md): Intercom connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.intercom.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/intercom/airbyte_agent_sdk-connectors-intercom-connector.md): Intercom connector. - [Module airbyte_agent_sdk.connectors.intercom.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/intercom/airbyte_agent_sdk-connectors-intercom-connector_model.md): Connector model for intercom. - [Module airbyte_agent_sdk.connectors.intercom.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/intercom/airbyte_agent_sdk-connectors-intercom-models.md): Pydantic models for intercom connector. - [Module airbyte_agent_sdk.connectors.intercom.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/intercom/airbyte_agent_sdk-connectors-intercom-types.md): Type definitions for intercom connector. - [Module airbyte_agent_sdk.connectors.jira](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/jira.md): Jira connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.jira.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/jira/airbyte_agent_sdk-connectors-jira-connector.md): Jira connector. - [Module airbyte_agent_sdk.connectors.jira.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/jira/airbyte_agent_sdk-connectors-jira-connector_model.md): Connector model for jira. - [Module airbyte_agent_sdk.connectors.jira.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/jira/airbyte_agent_sdk-connectors-jira-models.md): Pydantic models for jira connector. - [Module airbyte_agent_sdk.connectors.jira.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/jira/airbyte_agent_sdk-connectors-jira-types.md): Type definitions for jira connector. - [Module airbyte_agent_sdk.connectors.klaviyo](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/klaviyo.md): Klaviyo connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.klaviyo.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/klaviyo/airbyte_agent_sdk-connectors-klaviyo-connector.md): Klaviyo connector. - [Module airbyte_agent_sdk.connectors.klaviyo.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/klaviyo/airbyte_agent_sdk-connectors-klaviyo-connector_model.md): Connector model for klaviyo. - [Module airbyte_agent_sdk.connectors.klaviyo.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/klaviyo/airbyte_agent_sdk-connectors-klaviyo-models.md): Pydantic models for klaviyo connector. - [Module airbyte_agent_sdk.connectors.klaviyo.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/klaviyo/airbyte_agent_sdk-connectors-klaviyo-types.md): Type definitions for klaviyo connector. - [Module airbyte_agent_sdk.connectors.linear](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linear.md): Linear connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.linear.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linear/airbyte_agent_sdk-connectors-linear-connector.md): Linear connector. - [Module airbyte_agent_sdk.connectors.linear.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linear/airbyte_agent_sdk-connectors-linear-connector_model.md): Connector model for linear. - [Module airbyte_agent_sdk.connectors.linear.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linear/airbyte_agent_sdk-connectors-linear-models.md): Pydantic models for linear connector. - [Module airbyte_agent_sdk.connectors.linear.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linear/airbyte_agent_sdk-connectors-linear-types.md): Type definitions for linear connector. - [Module airbyte_agent_sdk.connectors.linkedin_ads](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linkedin_ads.md): Linkedin-Ads connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.linkedin_ads.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linkedin_ads/airbyte_agent_sdk-connectors-linkedin_ads-connector.md): Linkedin-Ads connector. - [Module airbyte_agent_sdk.connectors.linkedin_ads.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linkedin_ads/airbyte_agent_sdk-connectors-linkedin_ads-connector_model.md): Connector model for linkedin-ads. - [Module airbyte_agent_sdk.connectors.linkedin_ads.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linkedin_ads/airbyte_agent_sdk-connectors-linkedin_ads-models.md): Pydantic models for linkedin-ads connector. - [Module airbyte_agent_sdk.connectors.linkedin_ads.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/linkedin_ads/airbyte_agent_sdk-connectors-linkedin_ads-types.md): Type definitions for linkedin-ads connector. - [Module airbyte_agent_sdk.connectors.mailchimp](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/mailchimp.md): Mailchimp connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.mailchimp.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/mailchimp/airbyte_agent_sdk-connectors-mailchimp-connector.md): Mailchimp connector. - [Module airbyte_agent_sdk.connectors.mailchimp.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/mailchimp/airbyte_agent_sdk-connectors-mailchimp-connector_model.md): Connector model for mailchimp. - [Module airbyte_agent_sdk.connectors.mailchimp.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/mailchimp/airbyte_agent_sdk-connectors-mailchimp-models.md): Pydantic models for mailchimp connector. - [Module airbyte_agent_sdk.connectors.mailchimp.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/mailchimp/airbyte_agent_sdk-connectors-mailchimp-types.md): Type definitions for mailchimp connector. - [Module airbyte_agent_sdk.connectors.monday](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/monday.md): Monday connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.monday.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/monday/airbyte_agent_sdk-connectors-monday-connector.md): Monday connector. - [Module airbyte_agent_sdk.connectors.monday.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/monday/airbyte_agent_sdk-connectors-monday-connector_model.md): Connector model for monday. - [Module airbyte_agent_sdk.connectors.monday.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/monday/airbyte_agent_sdk-connectors-monday-models.md): Pydantic models for monday connector. - [Module airbyte_agent_sdk.connectors.monday.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/monday/airbyte_agent_sdk-connectors-monday-types.md): Type definitions for monday connector. - [Module airbyte_agent_sdk.connectors.notion](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/notion.md): Notion connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.notion.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/notion/airbyte_agent_sdk-connectors-notion-connector.md): Notion connector. - [Module airbyte_agent_sdk.connectors.notion.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/notion/airbyte_agent_sdk-connectors-notion-connector_model.md): Connector model for notion. - [Module airbyte_agent_sdk.connectors.notion.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/notion/airbyte_agent_sdk-connectors-notion-models.md): Pydantic models for notion connector. - [Module airbyte_agent_sdk.connectors.notion.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/notion/airbyte_agent_sdk-connectors-notion-types.md): Type definitions for notion connector. - [Module airbyte_agent_sdk.connectors.orb](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/orb.md): Orb connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.orb.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/orb/airbyte_agent_sdk-connectors-orb-connector.md): Orb connector. - [Module airbyte_agent_sdk.connectors.orb.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/orb/airbyte_agent_sdk-connectors-orb-connector_model.md): Connector model for orb. - [Module airbyte_agent_sdk.connectors.orb.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/orb/airbyte_agent_sdk-connectors-orb-models.md): Pydantic models for orb connector. - [Module airbyte_agent_sdk.connectors.orb.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/orb/airbyte_agent_sdk-connectors-orb-types.md): Type definitions for orb connector. - [Module airbyte_agent_sdk.connectors.paypal_transaction](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/paypal_transaction.md): Paypal-Transaction connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.paypal_transaction.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/paypal_transaction/airbyte_agent_sdk-connectors-paypal_transaction-connector.md): Paypal-Transaction connector. - [Module airbyte_agent_sdk.connectors.paypal_transaction.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/paypal_transaction/airbyte_agent_sdk-connectors-paypal_transaction-connector_model.md): Connector model for paypal-transaction. - [Module airbyte_agent_sdk.connectors.paypal_transaction.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/paypal_transaction/airbyte_agent_sdk-connectors-paypal_transaction-models.md): Pydantic models for paypal-transaction connector. - [Module airbyte_agent_sdk.connectors.paypal_transaction.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/paypal_transaction/airbyte_agent_sdk-connectors-paypal_transaction-types.md): Type definitions for paypal-transaction connector. - [Module airbyte_agent_sdk.connectors.pinterest](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pinterest.md): Pinterest connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.pinterest.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pinterest/airbyte_agent_sdk-connectors-pinterest-connector.md): Pinterest connector. - [Module airbyte_agent_sdk.connectors.pinterest.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pinterest/airbyte_agent_sdk-connectors-pinterest-connector_model.md): Connector model for pinterest. - [Module airbyte_agent_sdk.connectors.pinterest.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pinterest/airbyte_agent_sdk-connectors-pinterest-models.md): Pydantic models for pinterest connector. - [Module airbyte_agent_sdk.connectors.pinterest.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pinterest/airbyte_agent_sdk-connectors-pinterest-types.md): Type definitions for pinterest connector. - [Module airbyte_agent_sdk.connectors.pylon](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pylon.md): Pylon connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.pylon.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pylon/airbyte_agent_sdk-connectors-pylon-connector.md): Pylon connector. - [Module airbyte_agent_sdk.connectors.pylon.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pylon/airbyte_agent_sdk-connectors-pylon-connector_model.md): Connector model for pylon. - [Module airbyte_agent_sdk.connectors.pylon.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pylon/airbyte_agent_sdk-connectors-pylon-models.md): Pydantic models for pylon connector. - [Module airbyte_agent_sdk.connectors.pylon.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/pylon/airbyte_agent_sdk-connectors-pylon-types.md): Type definitions for pylon connector. - [Module airbyte_agent_sdk.connectors.salesforce](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/salesforce.md): Salesforce connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.salesforce.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/salesforce/airbyte_agent_sdk-connectors-salesforce-connector.md): Salesforce connector. - [Module airbyte_agent_sdk.connectors.salesforce.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/salesforce/airbyte_agent_sdk-connectors-salesforce-connector_model.md): Connector model for salesforce. - [Module airbyte_agent_sdk.connectors.salesforce.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/salesforce/airbyte_agent_sdk-connectors-salesforce-models.md): Pydantic models for salesforce connector. - [Module airbyte_agent_sdk.connectors.salesforce.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/salesforce/airbyte_agent_sdk-connectors-salesforce-types.md): Type definitions for salesforce connector. - [Module airbyte_agent_sdk.connectors.sendgrid](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sendgrid.md): Sendgrid connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.sendgrid.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sendgrid/airbyte_agent_sdk-connectors-sendgrid-connector.md): Sendgrid connector. - [Module airbyte_agent_sdk.connectors.sendgrid.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sendgrid/airbyte_agent_sdk-connectors-sendgrid-connector_model.md): Connector model for sendgrid. - [Module airbyte_agent_sdk.connectors.sendgrid.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sendgrid/airbyte_agent_sdk-connectors-sendgrid-models.md): Pydantic models for sendgrid connector. - [Module airbyte_agent_sdk.connectors.sendgrid.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sendgrid/airbyte_agent_sdk-connectors-sendgrid-types.md): Type definitions for sendgrid connector. - [Module airbyte_agent_sdk.connectors.sentry](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sentry.md): Sentry connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.sentry.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sentry/airbyte_agent_sdk-connectors-sentry-connector.md): Sentry connector. - [Module airbyte_agent_sdk.connectors.sentry.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sentry/airbyte_agent_sdk-connectors-sentry-connector_model.md): Connector model for sentry. - [Module airbyte_agent_sdk.connectors.sentry.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sentry/airbyte_agent_sdk-connectors-sentry-models.md): Pydantic models for sentry connector. - [Module airbyte_agent_sdk.connectors.sentry.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/sentry/airbyte_agent_sdk-connectors-sentry-types.md): Type definitions for sentry connector. - [Module airbyte_agent_sdk.connectors.shopify](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/shopify.md): Shopify connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.shopify.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/shopify/airbyte_agent_sdk-connectors-shopify-connector.md): Shopify connector. - [Module airbyte_agent_sdk.connectors.shopify.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/shopify/airbyte_agent_sdk-connectors-shopify-connector_model.md): Connector model for shopify. - [Module airbyte_agent_sdk.connectors.shopify.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/shopify/airbyte_agent_sdk-connectors-shopify-models.md): Pydantic models for shopify connector. - [Module airbyte_agent_sdk.connectors.shopify.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/shopify/airbyte_agent_sdk-connectors-shopify-types.md): Type definitions for shopify connector. - [Module airbyte_agent_sdk.connectors.slack](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/slack.md): Slack connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.slack.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/slack/airbyte_agent_sdk-connectors-slack-connector.md): Slack connector. - [Module airbyte_agent_sdk.connectors.slack.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/slack/airbyte_agent_sdk-connectors-slack-connector_model.md): Connector model for slack. - [Module airbyte_agent_sdk.connectors.slack.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/slack/airbyte_agent_sdk-connectors-slack-models.md): Pydantic models for slack connector. - [Module airbyte_agent_sdk.connectors.slack.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/slack/airbyte_agent_sdk-connectors-slack-types.md): Type definitions for slack connector. - [Module airbyte_agent_sdk.connectors.snapchat_marketing](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snapchat_marketing.md): Snapchat-Marketing connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.snapchat_marketing.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snapchat_marketing/airbyte_agent_sdk-connectors-snapchat_marketing-connector.md): Snapchat-Marketing connector. - [Module airbyte_agent_sdk.connectors.snapchat_marketing.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snapchat_marketing/airbyte_agent_sdk-connectors-snapchat_marketing-connector_model.md): Connector model for snapchat-marketing. - [Module airbyte_agent_sdk.connectors.snapchat_marketing.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snapchat_marketing/airbyte_agent_sdk-connectors-snapchat_marketing-models.md): Pydantic models for snapchat-marketing connector. - [Module airbyte_agent_sdk.connectors.snapchat_marketing.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snapchat_marketing/airbyte_agent_sdk-connectors-snapchat_marketing-types.md): Type definitions for snapchat-marketing connector. - [Module airbyte_agent_sdk.connectors.snowflake](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snowflake.md): Snowflake connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.snowflake.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snowflake/airbyte_agent_sdk-connectors-snowflake-connector.md): Snowflake connector. - [Module airbyte_agent_sdk.connectors.snowflake.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snowflake/airbyte_agent_sdk-connectors-snowflake-connector_model.md): Connector model for snowflake. - [Module airbyte_agent_sdk.connectors.snowflake.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snowflake/airbyte_agent_sdk-connectors-snowflake-models.md): Pydantic models for snowflake connector. - [Module airbyte_agent_sdk.connectors.snowflake.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/snowflake/airbyte_agent_sdk-connectors-snowflake-types.md): Type definitions for snowflake connector. - [Module airbyte_agent_sdk.connectors.stripe](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/stripe.md): Stripe connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.stripe.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/stripe/airbyte_agent_sdk-connectors-stripe-connector.md): Stripe connector. - [Module airbyte_agent_sdk.connectors.stripe.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/stripe/airbyte_agent_sdk-connectors-stripe-connector_model.md): Connector model for stripe. - [Module airbyte_agent_sdk.connectors.stripe.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/stripe/airbyte_agent_sdk-connectors-stripe-models.md): Pydantic models for stripe connector. - [Module airbyte_agent_sdk.connectors.stripe.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/stripe/airbyte_agent_sdk-connectors-stripe-types.md): Type definitions for stripe connector. - [Module airbyte_agent_sdk.connectors.tiktok_marketing](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/tiktok_marketing.md): Tiktok-Marketing connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.tiktok_marketing.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/tiktok_marketing/airbyte_agent_sdk-connectors-tiktok_marketing-connector.md): Tiktok-Marketing connector. - [Module airbyte_agent_sdk.connectors.tiktok_marketing.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/tiktok_marketing/airbyte_agent_sdk-connectors-tiktok_marketing-connector_model.md): Connector model for tiktok-marketing. - [Module airbyte_agent_sdk.connectors.tiktok_marketing.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/tiktok_marketing/airbyte_agent_sdk-connectors-tiktok_marketing-models.md): Pydantic models for tiktok-marketing connector. - [Module airbyte_agent_sdk.connectors.tiktok_marketing.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/tiktok_marketing/airbyte_agent_sdk-connectors-tiktok_marketing-types.md): Type definitions for tiktok-marketing connector. - [Module airbyte_agent_sdk.connectors.twilio](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/twilio.md): Twilio connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.twilio.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/twilio/airbyte_agent_sdk-connectors-twilio-connector.md): Twilio connector. - [Module airbyte_agent_sdk.connectors.twilio.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/twilio/airbyte_agent_sdk-connectors-twilio-connector_model.md): Connector model for twilio. - [Module airbyte_agent_sdk.connectors.twilio.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/twilio/airbyte_agent_sdk-connectors-twilio-models.md): Pydantic models for twilio connector. - [Module airbyte_agent_sdk.connectors.twilio.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/twilio/airbyte_agent_sdk-connectors-twilio-types.md): Type definitions for twilio connector. - [Module airbyte_agent_sdk.connectors.typeform](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/typeform.md): Typeform connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.typeform.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/typeform/airbyte_agent_sdk-connectors-typeform-connector.md): Typeform connector. - [Module airbyte_agent_sdk.connectors.typeform.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/typeform/airbyte_agent_sdk-connectors-typeform-connector_model.md): Connector model for typeform. - [Module airbyte_agent_sdk.connectors.typeform.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/typeform/airbyte_agent_sdk-connectors-typeform-models.md): Pydantic models for typeform connector. - [Module airbyte_agent_sdk.connectors.typeform.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/typeform/airbyte_agent_sdk-connectors-typeform-types.md): Type definitions for typeform connector. - [Module airbyte_agent_sdk.connectors.woocommerce](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/woocommerce.md): Woocommerce connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.woocommerce.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/woocommerce/airbyte_agent_sdk-connectors-woocommerce-connector.md): Woocommerce connector. - [Module airbyte_agent_sdk.connectors.woocommerce.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/woocommerce/airbyte_agent_sdk-connectors-woocommerce-connector_model.md): Connector model for woocommerce. - [Module airbyte_agent_sdk.connectors.woocommerce.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/woocommerce/airbyte_agent_sdk-connectors-woocommerce-models.md): Pydantic models for woocommerce connector. - [Module airbyte_agent_sdk.connectors.woocommerce.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/woocommerce/airbyte_agent_sdk-connectors-woocommerce-types.md): Type definitions for woocommerce connector. - [Module airbyte_agent_sdk.connectors.zendesk_chat](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_chat.md): Zendesk-Chat connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.zendesk_chat.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_chat/airbyte_agent_sdk-connectors-zendesk_chat-connector.md): Zendesk-Chat connector. - [Module airbyte_agent_sdk.connectors.zendesk_chat.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_chat/airbyte_agent_sdk-connectors-zendesk_chat-connector_model.md): Connector model for zendesk-chat. - [Module airbyte_agent_sdk.connectors.zendesk_chat.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_chat/airbyte_agent_sdk-connectors-zendesk_chat-models.md): Pydantic models for zendesk-chat connector. - [Module airbyte_agent_sdk.connectors.zendesk_chat.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_chat/airbyte_agent_sdk-connectors-zendesk_chat-types.md): Type definitions for zendesk-chat connector. - [Module airbyte_agent_sdk.connectors.zendesk_support](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_support.md): Zendesk-Support connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.zendesk_support.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_support/airbyte_agent_sdk-connectors-zendesk_support-connector.md): Zendesk-Support connector. - [Module airbyte_agent_sdk.connectors.zendesk_support.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_support/airbyte_agent_sdk-connectors-zendesk_support-connector_model.md): Connector model for zendesk-support. - [Module airbyte_agent_sdk.connectors.zendesk_support.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_support/airbyte_agent_sdk-connectors-zendesk_support-models.md): Pydantic models for zendesk-support connector. - [Module airbyte_agent_sdk.connectors.zendesk_support.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_support/airbyte_agent_sdk-connectors-zendesk_support-types.md): Type definitions for zendesk-support connector. - [Module airbyte_agent_sdk.connectors.zendesk_talk](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_talk.md): Zendesk-Talk connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.zendesk_talk.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_talk/airbyte_agent_sdk-connectors-zendesk_talk-connector.md): Zendesk-Talk connector. - [Module airbyte_agent_sdk.connectors.zendesk_talk.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_talk/airbyte_agent_sdk-connectors-zendesk_talk-connector_model.md): Connector model for zendesk-talk. - [Module airbyte_agent_sdk.connectors.zendesk_talk.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_talk/airbyte_agent_sdk-connectors-zendesk_talk-models.md): Pydantic models for zendesk-talk connector. - [Module airbyte_agent_sdk.connectors.zendesk_talk.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zendesk_talk/airbyte_agent_sdk-connectors-zendesk_talk-types.md): Type definitions for zendesk-talk connector. - [Module airbyte_agent_sdk.connectors.zoho_crm](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zoho_crm.md): Zoho-Crm connector for Airbyte SDK. - [Module airbyte_agent_sdk.connectors.zoho_crm.connector](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zoho_crm/airbyte_agent_sdk-connectors-zoho_crm-connector.md): Zoho-Crm connector. - [Module airbyte_agent_sdk.connectors.zoho_crm.connector_model](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zoho_crm/airbyte_agent_sdk-connectors-zoho_crm-connector_model.md): Connector model for zoho-crm. - [Module airbyte_agent_sdk.connectors.zoho_crm.models](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zoho_crm/airbyte_agent_sdk-connectors-zoho_crm-models.md): Pydantic models for zoho-crm connector. - [Module airbyte_agent_sdk.connectors.zoho_crm.types](/ai-agents/reference/sdk/airbyte_agent_sdk/connectors/zoho_crm/airbyte_agent_sdk-connectors-zoho_crm-types.md): Type definitions for zoho-crm connector. - [Module airbyte_agent_sdk.executor](/ai-agents/reference/sdk/airbyte_agent_sdk/executor.md): Executor implementations for connector operations. - [Module airbyte_agent_sdk.executor.hosted_executor](/ai-agents/reference/sdk/airbyte_agent_sdk/executor/airbyte_agent_sdk-executor-hosted_executor.md): Hosted executor for proxying operations through the cloud API. - [Module airbyte_agent_sdk.executor.local_executor](/ai-agents/reference/sdk/airbyte_agent_sdk/executor/airbyte_agent_sdk-executor-local_executor.md): Local executor for direct HTTP execution of connector operations. - [Module airbyte_agent_sdk.executor.models](/ai-agents/reference/sdk/airbyte_agent_sdk/executor/airbyte_agent_sdk-executor-models.md): Data models and protocols for executor implementations. - [Module airbyte_agent_sdk.translation](/ai-agents/reference/sdk/airbyte_agent_sdk/translation.md): Exception-to-framework-signal translation for tool callables. ## community Welcome to the Airbyte community. Whether you use Airbyte for data replication, Airbyte Agents, or both, this section contains resources for getting support, contributing to Airbyte, and understanding Airbyte's community guidelines. - [Community & support](/community.md): Welcome to the Airbyte community. Whether you use Airbyte for data replication, Airbyte Agents, or both, this section contains resources for getting support, contributing to Airbyte, and understanding Airbyte's community guidelines. ### code-of-conduct Airbyte's community code of conduct - [Code of conduct](/community/code-of-conduct.md): Airbyte's community code of conduct ### contributing-to-airbyte We love contributions to Airbyte, big or small. - [Contributing to Airbyte](/community/contributing-to-airbyte.md): We love contributions to Airbyte, big or small. #### developing-locally Airbyte doesn't currently accept platform contributions. - [Developing locally](/community/contributing-to-airbyte/developing-locally.md): Airbyte doesn't currently accept platform contributions. #### issues-and-requests If you're a paid customer, discuss your needs with support or another Airbyte representative. For all other requests, see these options: - [Issues and feature requests](/community/contributing-to-airbyte/issues-and-requests.md): If you're a paid customer, discuss your needs with support or another Airbyte representative. For all other requests, see these options: #### resources ##### pull-requests-handbook This topic explains how to title and describe your pull requests, and how to handle connector versioning. - [Pull request handbook](/community/contributing-to-airbyte/resources/pull-requests-handbook.md): This topic explains how to title and describe your pull requests, and how to handle connector versioning. ##### qa-checks