Module airbyte_agent_sdk.connectors.confluence.connector
Confluence connector.
Classes
AuditQuery(connector: ConfluenceConnector)
: Query class for Audit entity operations.
Initialize query with connector reference.
Methods
context_store_search(self, query: AuditSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.confluence.models.AirbyteSearchResult[AuditSearchData]
: Search audit records from Airbyte cache.
This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.
Available filter fields (AuditSearchFilter):
- affected_object: The object that was affected by the audit event.
- associated_objects: Any associated objects related to the audit event.
- author: The user who triggered the audit event.
- category: The category under which the audit event falls.
- changed_values: Details of the values that were changed during the audit event.
- creation_date: The date and time when the audit event was created.
- description: A detailed description of the audit event.
- remote_address: The IP address from which the audit event originated.
- summary: A brief summary or title describing the audit event.
- super_admin: Indicates if the user triggering the audit event is a super admin.
- sys_admin: Indicates if the user triggering the audit event is a system admin.
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: AuditSearchResult with typed records, pagination metadata, and optional search metadata
Raises: NotImplementedError: If called in local execution mode
list(self, start: int | None = None, limit: int | None = None, start_date: str | None = None, end_date: str | None = None, search_string: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceExecuteResultWithMeta[list[AuditRecord], AuditListResultMeta]
: Returns audit log records.
Args: start: Starting index for pagination limit: Maximum number of audit records to return start_date: Start date for filtering audit records (ISO 8601) end_date: End date for filtering audit records (ISO 8601) search_string: Search string to filter audit records **kwargs: Additional parameters
Returns: AuditListResult
BlogPostsQuery(connector: ConfluenceConnector)
: Query class for BlogPosts entity operations.
Initialize query with connector reference.
Methods
context_store_search(self, query: BlogPostsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.confluence.models.AirbyteSearchResult[BlogPostsSearchData]
: Search blog_posts records from Airbyte cache.
This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.
Available filter fields (BlogPostsSearchFilter):
- links: Links related to the blog post
- author_id: ID of the user who created the blog post
- body: Blog post body content
- created_at: Timestamp when the blog post was created
- id: Unique blog post identifier
- space_id: ID of the space containing this blog post
- status: Blog post status (current, draft, trashed)
- title: Blog post title
- version: Version information
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: BlogPostsSearchResult with typed records, pagination metadata, and optional search metadata
Raises: NotImplementedError: If called in local execution mode
get(self, id: str | None = None, body_format: str | None = None, version: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.BlogPost
: Returns a specific blog post.
Args: id: The ID of the blog post body_format: The format of the blog post body in the response version: Specific version number to retrieve **kwargs: Additional parameters
Returns: BlogPost
list(self, cursor: str | None = None, limit: int | None = None, space_id: list[int] | None = None, title: str | None = None, status: list[str] | None = None, sort: str | None = None, body_format: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceExecuteResultWithMeta[list[BlogPost], BlogPostsListResultMeta]
: Returns all blog posts. Only blog posts that the user has permission to view will be returned.
Args: cursor: Cursor for pagination limit: Maximum number of blog posts to return space_id: Filter blog posts by space ID(s) title: Filter blog posts by title (exact match) status: Filter blog posts by status sort: Sort order for results body_format: The format of the blog post body in the response **kwargs: Additional parameters
Returns: BlogPostsListResult
ConfluenceConnector(auth_config: ConfluenceAuthConfig | AirbyteAuthConfig | BaseModel | None = None, on_token_refresh: Any | None = None, subdomain: str | None = None)
: Type-safe Confluence API connector.
Auto-generated from OpenAPI specification with full type safety.
Initialize a new confluence connector instance.
Supports both local and hosted execution modes:
- Local mode: Provide connector-specific auth config (e.g., ConfluenceAuthConfig)
- Hosted mode: Provide
AirbyteAuthConfigwith client credentials and eitherconnector_idorworkspace_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) subdomain: Your Confluence Cloud subdomain (e.g., mycompany for mycompany.atlassian.net) Examples:
Local mode (direct API calls)
connector = ConfluenceConnector(auth_config=ConfluenceAuthConfig(username="...", password="..."))
Hosted mode with explicit connector_id (no lookup needed)
connector = ConfluenceConnector( 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 = ConfluenceConnector( 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: "'ConfluenceAuthConfig'", name: str | None = None, replication_config: dict[str, Any] | None = None, source_template_id: str | None = None) ‑> airbyte_agent_sdk.connectors.confluence.connector.ConfluenceConnector
: Create a new hosted connector on Airbyte Cloud.
This factory method:
- Creates a source on Airbyte Cloud with the provided credentials
- Returns a connector configured with the new connector_id
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 (same as local mode) name: Optional source name (defaults to connector name + workspace_name) replication_config: Optional replication settings dict. 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 ConfluenceConnector instance configured in hosted mode
Example:
Create a new hosted connector with API key auth
connector = await ConfluenceConnector.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=ConfluenceAuthConfig(username="...", password="..."), )
Use the connector
result = await connector.execute("entity", "list", {})
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() @ConfluenceConnector.tool_utils async def execute(entity: str, action: str, params: dict): ...
@mcp.tool() @ConfluenceConnector.tool_utils(update_docstring=False, max_output_chars=None) async def execute(entity: str, action: str, params: dict): ...
@mcp.tool() @ConfluenceConnector.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 ConfluenceConnector.create(...) print(f"Created connector: {connector.connector_id}")
Methods
check(self) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceCheckResult
: 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: ConfluenceCheckResult 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['list', 'get', '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']}")
GroupsQuery(connector: ConfluenceConnector)
: Query class for Groups entity operations.
Initialize query with connector reference.
Methods
context_store_search(self, query: GroupsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.confluence.models.AirbyteSearchResult[GroupsSearchData]
: Search groups records from Airbyte cache.
This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.
Available filter fields (GroupsSearchFilter):
- links: Links related to the group
- id: The unique identifier of the group
- name: The name of the group
- type_: The type of group
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: GroupsSearchResult with typed records, pagination metadata, and optional search metadata
Raises: NotImplementedError: If called in local execution mode
list(self, start: int | None = None, limit: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceExecuteResultWithMeta[list[Group], GroupsListResultMeta]
: Returns all user groups.
Args: start: Starting index for pagination limit: Maximum number of groups to return **kwargs: Additional parameters
Returns: GroupsListResult
PagesQuery(connector: ConfluenceConnector)
: Query class for Pages entity operations.
Initialize query with connector reference.
Methods
context_store_search(self, query: PagesSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.confluence.models.AirbyteSearchResult[PagesSearchData]
: Search pages records from Airbyte cache.
This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.
Available filter fields (PagesSearchFilter):
- links: Links related to the page
- author_id: ID of the user who created the page
- body: Page body content
- created_at: Timestamp when the page was created
- id: Unique page identifier
- last_owner_id: ID of the previous page owner
- owner_id: ID of the current page owner
- parent_id: ID of the parent page
- parent_type: Type of the parent (page or space)
- position: Position of the page among siblings
- space_id: ID of the space containing this page
- status: Page status (current, archived, trashed, draft)
- title: Page title
- version: Version information
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: PagesSearchResult with typed records, pagination metadata, and optional search metadata
Raises: NotImplementedError: If called in local execution mode
get(self, id: str | None = None, body_format: str | None = None, version: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.Page
: Returns a specific page.
Args: id: The ID of the page body_format: The format of the page body in the response version: Specific version number to retrieve **kwargs: Additional parameters
Returns: Page
list(self, cursor: str | None = None, limit: int | None = None, space_id: list[int] | None = None, title: str | None = None, status: list[str] | None = None, sort: str | None = None, body_format: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceExecuteResultWithMeta[list[Page], PagesListResultMeta]
: Returns all pages. Only pages that the user has permission to view will be returned.
Args: cursor: Cursor for pagination limit: Maximum number of pages to return space_id: Filter pages by space ID(s) title: Filter pages by title (exact match) status: Filter pages by status sort: Sort order for results body_format: The format of the page body in the response **kwargs: Additional parameters
Returns: PagesListResult
SpacesQuery(connector: ConfluenceConnector)
: Query class for Spaces entity operations.
Initialize query with connector reference.
Methods
context_store_search(self, query: SpacesSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.confluence.models.AirbyteSearchResult[SpacesSearchData]
: Search spaces records from Airbyte cache.
This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.
Available filter fields (SpacesSearchFilter):
- links: Links related to the space
- author_id: ID of the user who created the space
- created_at: Timestamp when the space was created
- description: Space description in various formats
- homepage_id: ID of the space homepage
- icon: Space icon information
- id: Unique space identifier
- key: Space key
- name: Space name
- status: Space status (current or archived)
- type_: Space type (global or personal)
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: SpacesSearchResult with typed records, pagination metadata, and optional search metadata
Raises: NotImplementedError: If called in local execution mode
get(self, id: str | None = None, description_format: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.Space
: Returns a specific space.
Args: id: The ID of the space description_format: The format of the space description in the response **kwargs: Additional parameters
Returns: Space
list(self, cursor: str | None = None, limit: int | None = None, type: str | None = None, status: str | None = None, keys: list[str] | None = None, sort: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.confluence.models.ConfluenceExecuteResultWithMeta[list[Space], SpacesListResultMeta]
: Returns all spaces. Only spaces that the user has permission to view will be returned.
Args: cursor: Cursor for pagination limit: Maximum number of spaces to return type: Filter by space type (global or personal) status: Filter by space status (current or archived) keys: Filter by space keys sort: Sort order for results **kwargs: Additional parameters
Returns: SpacesListResult