Skip to main content

Module airbyte_agent_sdk.connectors.gmail.connector

Gmail connector.

Classes

DraftsQuery(connector: GmailConnector) : Query class for Drafts entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: DraftsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.gmail.models.AirbyteSearchResult[DraftsSearchData] : Search drafts records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (DraftsSearchFilter):

  • id: Unique identifier for the draft
  • message: Draft message payload (headers, body, and metadata)

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: DraftsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

create(self, message: DraftsCreateParamsMessage, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Draft : Creates a new draft with the specified message content

Args: message: The draft message content **kwargs: Additional parameters

Returns: Draft

delete(self, draft_id: str, **kwargs) ‑> dict[str, typing.Any] : Immediately and permanently deletes the specified draft (does not move to trash)

Args: draft_id: The ID of the draft to delete **kwargs: Additional parameters

Returns: dict[str, Any]

get(self, draft_id: str, format: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Draft : Gets the specified draft including its message content

Args: draft_id: The ID of the draft to retrieve format: The format to return the draft message in (full, metadata, minimal, raw) **kwargs: Additional parameters

Returns: Draft

list(self, max_results: int | None = None, page_token: str | None = None, q: str | None = None, include_spam_trash: bool | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.GmailExecuteResultWithMeta[list[DraftRef], DraftsListResultMeta] : Lists the drafts in the user's mailbox

Args: max_results: Maximum number of drafts to return (1-500) page_token: Page token to retrieve a specific page of results q: Gmail search query to filter drafts include_spam_trash: Include drafts from SPAM and TRASH in the results **kwargs: Additional parameters

Returns: DraftsListResult

update(self, message: DraftsUpdateParamsMessage, draft_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Draft : Replaces a draft's content with the specified message content

Args: message: The draft message content draft_id: The ID of the draft to update **kwargs: Additional parameters

Returns: Draft

DraftsSendQuery(connector: GmailConnector) : Query class for DraftsSend entity operations.

Initialize query with connector reference.

Methods

create(self, id: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Sends the specified existing draft to its recipients

Args: id: The ID of the draft to send **kwargs: Additional parameters

Returns: Message

GmailConnector(auth_config: GmailAuthConfig | AirbyteAuthConfig | BaseModel | None = None, on_token_refresh: Any | None = None) : Type-safe Gmail API connector.

Auto-generated from OpenAPI specification with full type safety.

Initialize a new gmail connector instance.

Supports both local and hosted execution modes:

  • Local mode: Provide connector-specific auth config (e.g., GmailAuthConfig)
  • Hosted mode: Provide AirbyteAuthConfig with client credentials and either connector_id or workspace_name

Args: auth_config: Either connector-specific auth config for local mode, or AirbyteAuthConfig for hosted mode on_token_refresh: Optional callback for OAuth2 token refresh persistence. Called with new_tokens dict when tokens are refreshed. Can be sync or async. Example: lambda tokens: save_to_database(tokens) Examples:

Local mode (direct API calls)

connector = GmailConnector(auth_config=GmailAuthConfig(access_token="...", refresh_token="...", client_id="...", client_secret="..."))

Hosted mode with explicit connector_id (no lookup needed)

connector = GmailConnector( auth_config=AirbyteAuthConfig( airbyte_client_id="client_abc123", airbyte_client_secret="secret_xyz789", connector_id="existing-source-uuid" ) )

Hosted mode with lookup by workspace_name

connector = GmailConnector( auth_config=AirbyteAuthConfig( workspace_name="user-123", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc123", airbyte_client_secret="secret_xyz789" ) )

Class variables

connector_name : The type of the None singleton.

connector_version : The type of the None singleton.

sdk_version : The type of the None singleton.

Static methods

create(*, airbyte_config: AirbyteAuthConfig, auth_config: "'GmailAuthConfig' | None" = None, server_side_oauth_secret_id: str | None = None, name: str | None = None, replication_config: "'GmailReplicationConfig' | None" = None, source_template_id: str | None = None) : Create a new hosted connector on Airbyte Cloud.

This factory method:

  1. Creates a source on Airbyte Cloud with the provided credentials
  2. Returns a connector configured with the new connector_id

Supports two authentication modes:

  1. Direct credentials: Provide auth_config with typed credentials
  2. Server-side OAuth: Provide server_side_oauth_secret_id from OAuth flow

Args: airbyte_config: Airbyte hosted auth config with client credentials and workspace_name. Optionally include organization_id for multi-org request routing. auth_config: Typed auth config. Required unless using server_side_oauth_secret_id. server_side_oauth_secret_id: OAuth secret ID from get_consent_url redirect. When provided, auth_config is not required. name: Optional source name (defaults to connector name + workspace_name) replication_config: Typed replication settings. Required for connectors with x-airbyte-replication-config (REPLICATION mode sources). source_template_id: Source template ID. Required when organization has multiple source templates for this connector type.

Returns: A GmailConnector instance configured in hosted mode

Raises: ValueError: If neither or both auth_config and server_side_oauth_secret_id provided

Example:

Create a new hosted connector with API key auth

connector = await GmailConnector.create( airbyte_config=AirbyteAuthConfig( workspace_name="my-workspace", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc", airbyte_client_secret="secret_xyz", ), auth_config=GmailAuthConfig(access_token="...", refresh_token="...", client_id="...", client_secret="..."), )

With replication config (required for this connector):

connector = await GmailConnector.create( airbyte_config=AirbyteAuthConfig( workspace_name="my-workspace", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc", airbyte_client_secret="secret_xyz", ), auth_config=GmailAuthConfig(access_token="...", refresh_token="...", client_id="...", client_secret="..."), replication_config=GmailReplicationConfig(include_spam_and_trash="..."), )

With server-side OAuth:

connector = await GmailConnector.create( airbyte_config=AirbyteAuthConfig( workspace_name="my-workspace", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc", airbyte_client_secret="secret_xyz", ), server_side_oauth_secret_id="airbyte_oauth_...secret...", replication_config=GmailReplicationConfig(include_spam_and_trash="..."), )

Use the connector

result = await connector.execute("entity", "list", {})

get_consent_url(*, airbyte_config: AirbyteAuthConfig, redirect_url: str, name: str | None = None, replication_config: "'GmailReplicationConfig' | None" = None, source_template_id: str | None = None) : Initiate server-side OAuth flow with auto-source creation.

Returns a consent URL where the end user should be redirected to grant access. After completing consent, the source is automatically created and the user is redirected to your redirect_url with a connector_id query parameter.

Args: airbyte_config: Airbyte hosted auth config with client credentials and workspace_name. Optionally include organization_id for multi-org request routing. redirect_url: URL where users will be redirected after OAuth consent. After consent, user arrives at: redirect_url?connector_id=... name: Optional name for the source. Defaults to connector name + workspace_name. replication_config: Typed replication settings. Merged with OAuth credentials. source_template_id: Source template ID. Required when organization has multiple source templates for this connector type.

Returns: The OAuth consent URL

Example: consent_url = await GmailConnector.get_consent_url( airbyte_config=AirbyteAuthConfig( workspace_name="my-workspace", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc", airbyte_client_secret="secret_xyz", ), redirect_url="https://myapp.com/oauth/callback", name="My Gmail Source", replication_config=GmailReplicationConfig(include_spam_and_trash="..."), )

Redirect user to: consent_url

After consent, user arrives at: https://myapp.com/oauth/callback?connector_id=...

tool_utils(func: _F | None = None, *, update_docstring: bool = True, max_output_chars: int | None = 100000, framework: FrameworkName | None = None, internal_retries: int = 0, should_internal_retry: Callable[[Exception, tuple[Any, ...], dict[str, Any]], bool] | None = None, exhausted_runtime_failure_message: Callable[[Exception, tuple[Any, ...], dict[str, Any]], str | None] | None = None) ‑> ~_F | Callable[[~_F], ~_F] : Decorator that adds tool utilities like docstring augmentation and output limits.

Composes :func:airbyte_agent_sdk.translation.translate_exceptions for runtime wrapping (sync/async branch + output-size check + framework signal translation + optional internal retry loop), and adds connector-specific docstring augmentation on top of it.

Usage: @mcp.tool() @GmailConnector.tool_utils async def execute(entity: str, action: str, params: dict): ...

@mcp.tool() @GmailConnector.tool_utils(update_docstring=False, max_output_chars=None) async def execute(entity: str, action: str, params: dict): ...

@mcp.tool() @GmailConnector.tool_utils(framework="pydantic_ai", internal_retries=2) async def execute(entity: str, action: str, params: dict): ...

Args: update_docstring: When True, append connector capabilities to doc. max_output_chars: Max serialized output size before raising. Use None to disable. framework: One of "pydantic_ai" | "langchain" | "openai_agents" | "mcp". Defaults to None → auto-detect by attempting each framework's canonical import in order. Explicit always wins. internal_retries: How many transient runtime failures (429/5xx, network, timeout) to retry silently before surfacing. Default 0. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions. should_internal_retry: Optional predicate (error, args, kwargs) -> bool further restricting which retryable errors are safe for this specific tool. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions. exhausted_runtime_failure_message: Optional callback (error, args, kwargs) -> str | None. Invoked after internal retries are exhausted OR were skipped via should_internal_retry returning False. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions.

Instance variables

connector_id: str | None : Get the connector/source ID (only available in hosted mode).

Returns: The connector ID if in hosted mode, None if in local mode.

Example: connector = await GmailConnector.create(...) print(f"Created connector: {connector.connector_id}")

Methods

check(self) ‑> airbyte_agent_sdk.connectors.gmail.models.GmailCheckResult : Perform a health check to verify connectivity and credentials.

Executes a lightweight list operation (limit=1) to validate that the connector can communicate with the API and credentials are valid.

Returns: GmailCheckResult with status ("healthy" or "unhealthy") and optional error message

Example: result = await connector.check() if result.status == "healthy": print("Connection verified!") else: print(f"Check failed: {result.error}")

close(self) : Close the connector and release resources.

entity_schema(self, entity: str) ‑> dict[str, typing.Any] | None : Get the JSON schema for an entity.

Args: entity: Entity name (e.g., "contacts", "companies")

Returns: JSON schema dict describing the entity structure, or None if not found.

Example: schema = connector.entity_schema("contacts") if schema: print(f"Contact properties: {list(schema.get('properties', {}).keys())}")

execute(self, entity: str, action: "Literal['get', 'list', 'create', 'update', 'delete', 'context_store_search']", params: Mapping[str, Any] | None = None) ‑> Any : Execute an entity operation with full type safety.

This is the recommended interface for blessed connectors as it:

  • Uses the same signature as non-blessed connectors
  • Provides full IDE autocomplete for entity/action/params
  • Makes migration from generic to blessed connectors seamless

Args: entity: Entity name (e.g., "customers") action: Operation action (e.g., "create", "get", "list") params: Operation parameters (typed based on entity+action)

Returns: Typed response based on the operation

Example: customer = await connector.execute( entity="customers", action="get", params={"id": "cus_123"} )

list_entities(self) ‑> list[dict[str, typing.Any]] : Get structured data about available entities, actions, and parameters.

Returns a list of entity descriptions with:

  • entity_name: Name of the entity (e.g., "contacts", "deals")
  • description: Entity description from the first endpoint
  • available_actions: List of actions (e.g., ["list", "get", "create"])
  • parameters: Dict mapping action -> list of parameter dicts

Example: entities = connector.list_entities() for entity in entities: print(f"{entity['entity_name']}: {entity['available_actions']}")

LabelsQuery(connector: GmailConnector) : Query class for Labels entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: LabelsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.gmail.models.AirbyteSearchResult[LabelsSearchData] : Search labels records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (LabelsSearchFilter):

  • id: Unique identifier for the label
  • name: Display name of the label
  • type_: Label type: system or user
  • label_list_visibility: Visibility of the label in the label list
  • message_list_visibility: Visibility of the label when viewing a message list

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: LabelsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

create(self, name: str, message_list_visibility: str | None = None, label_list_visibility: str | None = None, color: LabelsCreateParamsColor | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Label : Creates a new label in the user's mailbox

Args: name: The display name of the label message_list_visibility: The visibility of messages with this label in the message list (show or hide) label_list_visibility: The visibility of the label in the label list color: The color to assign to the label **kwargs: Additional parameters

Returns: Label

delete(self, label_id: str, **kwargs) ‑> dict[str, typing.Any] : Deletes the specified label and removes it from any messages and threads

Args: label_id: The ID of the label to delete **kwargs: Additional parameters

Returns: dict[str, Any]

get(self, label_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Label : Gets a specific label by ID including message and thread counts

Args: label_id: The ID of the label to retrieve **kwargs: Additional parameters

Returns: Label

list(self, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.GmailExecuteResult[list[Label]] : Lists all labels in the user's mailbox including system and user-created labels

Returns: LabelsListResult

update(self, label_id: str, id: str | None = None, name: str | None = None, message_list_visibility: str | None = None, label_list_visibility: str | None = None, color: LabelsUpdateParamsColor | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Label : Updates the specified label

Args: id: The ID of the label (must match the path parameter) name: The new display name of the label message_list_visibility: The visibility of messages with this label in the message list label_list_visibility: The visibility of the label in the label list color: The color to assign to the label label_id: The ID of the label to update **kwargs: Additional parameters

Returns: Label

MessagesQuery(connector: GmailConnector) : Query class for Messages entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: MessagesSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.gmail.models.AirbyteSearchResult[MessagesSearchData] : Search messages records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (MessagesSearchFilter):

  • id: Unique identifier for the message
  • thread_id: Identifier of the thread this message belongs to

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: MessagesSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

create(self, raw: str, thread_id: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Sends a new email message. The message should be provided as a base64url-encoded RFC 2822 formatted string in the 'raw' field.

Args: raw: The entire email message in RFC 2822 format, base64url encoded thread_id: The thread ID to reply to (for threading replies in a conversation) **kwargs: Additional parameters

Returns: Message

get(self, message_id: str, format: str | None = None, metadata_headers: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Gets the full email message content including headers, body, and attachments metadata

Args: message_id: The ID of the message to retrieve format: The format to return the message in (full, metadata, minimal, raw) metadata_headers: When format is METADATA, only include headers specified (comma-separated) **kwargs: Additional parameters

Returns: Message

list(self, max_results: int | None = None, page_token: str | None = None, q: str | None = None, label_ids: str | None = None, include_spam_trash: bool | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.GmailExecuteResultWithMeta[list[MessageRef], MessagesListResultMeta] : Lists the messages in the user's mailbox. Returns message IDs and thread IDs.

Args: max_results: Maximum number of messages to return (1-500) page_token: Page token to retrieve a specific page of results q: Gmail search query (same format as Gmail search box, e.g. "from:user@example.com", "is:unread", "subject:hello") label_ids: Only return messages with labels matching all of the specified label IDs (comma-separated) include_spam_trash: Include messages from SPAM and TRASH in the results **kwargs: Additional parameters

Returns: MessagesListResult

update(self, message_id: str, add_label_ids: list[str] | None = None, remove_label_ids: list[str] | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Modifies the labels on a message. Use this to archive (remove INBOX label), mark as read (remove UNREAD label), mark as unread (add UNREAD label), star (add STARRED label), or apply custom labels.

Args: add_label_ids: A list of label IDs to add to the message (e.g. STARRED, UNREAD, or custom label IDs) remove_label_ids: A list of label IDs to remove from the message (e.g. INBOX to archive, UNREAD to mark as read) message_id: The ID of the message to modify **kwargs: Additional parameters

Returns: Message

MessagesTrashQuery(connector: GmailConnector) : Query class for MessagesTrash entity operations.

Initialize query with connector reference.

Methods

create(self, message_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Moves the specified message to the trash

Args: message_id: The ID of the message to trash **kwargs: Additional parameters

Returns: Message

MessagesUntrashQuery(connector: GmailConnector) : Query class for MessagesUntrash entity operations.

Initialize query with connector reference.

Methods

create(self, message_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Message : Removes the specified message from the trash

Args: message_id: The ID of the message to untrash **kwargs: Additional parameters

Returns: Message

ProfileQuery(connector: GmailConnector) : Query class for Profile entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: ProfileSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.gmail.models.AirbyteSearchResult[ProfileSearchData] : Search profile records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (ProfileSearchFilter):

  • email_address: Email address of the authenticated Gmail account
  • history_id: Mailbox history record identifier used for incremental sync
  • messages_total: Total number of messages currently in the mailbox
  • threads_total: Total number of threads currently in the mailbox

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: ProfileSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

get(self, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Profile : Gets the current user's Gmail profile including email address and mailbox statistics

Returns: Profile

ThreadsQuery(connector: GmailConnector) : Query class for Threads entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: ThreadsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.gmail.models.AirbyteSearchResult[ThreadsSearchData] : Search threads records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (ThreadsSearchFilter):

  • id: Unique identifier for the thread
  • history_id: Mailbox history record identifier for the thread
  • snippet: Short snippet of the thread's most recent message

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: ThreadsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

get(self, thread_id: str, format: str | None = None, metadata_headers: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.Thread : Gets the specified thread including all messages in the conversation

Args: thread_id: The ID of the thread to retrieve format: The format to return the messages in (full, metadata, minimal) metadata_headers: When format is METADATA, only include headers specified (comma-separated) **kwargs: Additional parameters

Returns: Thread

list(self, max_results: int | None = None, page_token: str | None = None, q: str | None = None, label_ids: str | None = None, include_spam_trash: bool | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.gmail.models.GmailExecuteResultWithMeta[list[ThreadRef], ThreadsListResultMeta] : Lists the threads in the user's mailbox

Args: max_results: Maximum number of threads to return (1-500) page_token: Page token to retrieve a specific page of results q: Gmail search query to filter threads label_ids: Only return threads with labels matching all of the specified label IDs (comma-separated) include_spam_trash: Include threads from SPAM and TRASH in the results **kwargs: Additional parameters

Returns: ThreadsListResult