Module adcp.server
ADCP Server Framework.
Provides base classes and adapters for building ADCP-compliant servers/agents. Supports selective protocol implementation via protocol-specific adapters.
Examples
Content Standards agent (stubs media buy operations)
from adcp.server import ContentStandardsHandler, create_mcp_tools
class MyContentHandler(ContentStandardsHandler): async def create_content_standards(self, request): # Implement your logic pass
Register with MCP server
tools = create_mcp_tools(MyContentHandler())
Sub-modules
adcp.server.base-
Base classes for ADCP server implementations …
adcp.server.content_standards-
Content Standards protocol handler …
adcp.server.governance-
Governance protocol handler …
adcp.server.mcp_tools-
MCP server integration helpers …
adcp.server.proposal-
Proposal generation helpers …
adcp.server.sponsored_intelligence-
Sponsored Intelligence protocol handler …
Functions
def create_mcp_tools(handler: ADCPHandler) ‑> MCPToolSet-
Expand source code
def create_mcp_tools(handler: ADCPHandler) -> MCPToolSet: """Create MCP tools from an ADCP handler. This is the main entry point for MCP server integration. Example with mcp library: from mcp.server import Server from adcp.server import ContentStandardsHandler, create_mcp_tools class MyHandler(ContentStandardsHandler): # ... implement methods handler = MyHandler() tools = create_mcp_tools(handler) server = Server("my-content-agent") @server.list_tools() async def list_tools(): return tools.tool_definitions @server.call_tool() async def call_tool(name: str, arguments: dict): return await tools.call_tool(name, arguments) Args: handler: ADCP handler instance Returns: MCPToolSet with tool definitions and handlers """ return MCPToolSet(handler)Create MCP tools from an ADCP handler.
This is the main entry point for MCP server integration.
Example with mcp library: from mcp.server import Server from adcp.server import ContentStandardsHandler, create_mcp_tools
class MyHandler(ContentStandardsHandler): # ... implement methods handler = MyHandler() tools = create_mcp_tools(handler) server = Server("my-content-agent") @server.list_tools() async def list_tools(): return tools.tool_definitions @server.call_tool() async def call_tool(name: str, arguments: dict): return await tools.call_tool(name, arguments)Args
handler- ADCP handler instance
Returns
MCPToolSet with tool definitions and handlers
def not_supported(reason: str = 'This operation is not supported by this agent') ‑> NotImplementedResponse-
Expand source code
def not_supported( reason: str = "This operation is not supported by this agent", ) -> NotImplementedResponse: """Create a standard 'not supported' response. Use this to return from operations that your agent does not implement. Args: reason: Human-readable explanation of why the operation is not supported Returns: NotImplementedResponse with supported=False """ return NotImplementedResponse( supported=False, reason=reason, error=Error( code="NOT_SUPPORTED", message=reason, ), )Create a standard 'not supported' response.
Use this to return from operations that your agent does not implement.
Args
reason- Human-readable explanation of why the operation is not supported
Returns
NotImplementedResponse with supported=False
Classes
class ADCPHandler-
Expand source code
class ADCPHandler(ABC): """Base class for ADCP operation handlers. Subclass this to implement ADCP operations. All operations have default implementations that return 'not supported', allowing you to implement only the operations your agent supports. For protocol-specific handlers, use: - ContentStandardsHandler: For content standards agents - SponsoredIntelligenceHandler: For sponsored intelligence agents """ # ======================================================================== # Core Catalog Operations # ======================================================================== async def get_products(self, params: dict[str, Any], context: ToolContext | None = None) -> Any: """Get advertising products. Override this to provide product catalog functionality. """ return not_supported("get_products is not implemented by this agent") async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List supported creative formats. Override this to provide creative format information. """ return not_supported("list_creative_formats is not implemented by this agent") # ======================================================================== # Creative Operations # ======================================================================== async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync creatives. Override this to handle creative synchronization. """ return not_supported("sync_creatives is not implemented by this agent") async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List creatives. Override this to list synced creatives. """ return not_supported("list_creatives is not implemented by this agent") async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Build a creative. Override this to build creatives from assets. """ return not_supported("build_creative is not implemented by this agent") async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Preview a creative rendering. Override this to provide creative preview functionality. """ return not_supported("preview_creative is not implemented by this agent") async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get creative delivery metrics. Override this to provide functionality. """ return not_supported("get_creative_delivery is not implemented by this agent") # ======================================================================== # Media Buy Operations # ======================================================================== async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create a media buy. Override this to handle media buy creation. """ return not_supported("create_media_buy is not implemented by this agent") async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update a media buy. Override this to handle media buy updates. """ return not_supported("update_media_buy is not implemented by this agent") async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get media buy delivery metrics. Override this to provide delivery reporting. """ return not_supported("get_media_buy_delivery is not implemented by this agent") # ======================================================================== # Signal Operations # ======================================================================== async def get_signals(self, params: dict[str, Any], context: ToolContext | None = None) -> Any: """Get available signals. Override this to provide signal catalog. """ return not_supported("get_signals is not implemented by this agent") async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Activate a signal. Override this to handle signal activation. """ return not_supported("activate_signal is not implemented by this agent") # ======================================================================== # Feedback Operations # ======================================================================== async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Provide performance feedback. Override this to handle performance feedback ingestion. """ return not_supported("provide_performance_feedback is not implemented by this agent") # ======================================================================== # Account Operations # ======================================================================== async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List accounts. Override this to provide functionality. """ return not_supported("list_accounts is not implemented by this agent") async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync accounts. Override this to provide functionality. """ return not_supported("sync_accounts is not implemented by this agent") # ======================================================================== # Event Operations # ======================================================================== async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Log event. Override this to provide functionality. """ return not_supported("log_event is not implemented by this agent") async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync event sources. Override this to provide functionality. """ return not_supported("sync_event_sources is not implemented by this agent") # ======================================================================== # V3 Protocol Discovery # ======================================================================== async def get_adcp_capabilities( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get ADCP capabilities. Override this to advertise your agent's capabilities. """ return not_supported("get_adcp_capabilities is not implemented by this agent") # ======================================================================== # V3 Content Standards Operations # ======================================================================== async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("create_content_standards is not implemented by this agent") async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("get_content_standards is not implemented by this agent") async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List content standards configurations. Override this in ContentStandardsHandler subclasses. """ return not_supported("list_content_standards is not implemented by this agent") async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("update_content_standards is not implemented by this agent") async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Calibrate content against standards. Override this in ContentStandardsHandler subclasses. """ return not_supported("calibrate_content is not implemented by this agent") async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Validate content delivery against standards. Override this in ContentStandardsHandler subclasses. """ return not_supported("validate_content_delivery is not implemented by this agent") async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get artifacts associated with a media buy. Override this in ContentStandardsHandler subclasses. """ return not_supported("get_media_buy_artifacts is not implemented by this agent") # ======================================================================== # V3 Sponsored Intelligence Operations # ======================================================================== async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get sponsored intelligence offering. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_get_offering is not implemented by this agent") async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Initiate sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_initiate_session is not implemented by this agent") async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Send message in sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_send_message is not implemented by this agent") async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Terminate sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_terminate_session is not implemented by this agent") # ======================================================================== # V3 Governance (Property Lists) Operations # ======================================================================== async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create a property list for governance filtering. Override this in GovernanceHandler subclasses. """ return not_supported("create_property_list is not implemented by this agent") async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get a property list with optional resolution. Override this in GovernanceHandler subclasses. """ return not_supported("get_property_list is not implemented by this agent") async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List property lists. Override this in GovernanceHandler subclasses. """ return not_supported("list_property_lists is not implemented by this agent") async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update a property list. Override this in GovernanceHandler subclasses. """ return not_supported("update_property_list is not implemented by this agent") async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Delete a property list. Override this in GovernanceHandler subclasses. """ return not_supported("delete_property_list is not implemented by this agent")Base class for ADCP operation handlers.
Subclass this to implement ADCP operations. All operations have default implementations that return 'not supported', allowing you to implement only the operations your agent supports.
For protocol-specific handlers, use: - ContentStandardsHandler: For content standards agents - SponsoredIntelligenceHandler: For sponsored intelligence agents
Ancestors
- abc.ABC
Subclasses
Methods
async def activate_signal(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Activate a signal. Override this to handle signal activation. """ return not_supported("activate_signal is not implemented by this agent")Activate a signal.
Override this to handle signal activation.
async def build_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Build a creative. Override this to build creatives from assets. """ return not_supported("build_creative is not implemented by this agent")Build a creative.
Override this to build creatives from assets.
async def calibrate_content(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Calibrate content against standards. Override this in ContentStandardsHandler subclasses. """ return not_supported("calibrate_content is not implemented by this agent")Calibrate content against standards.
Override this in ContentStandardsHandler subclasses.
async def create_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("create_content_standards is not implemented by this agent")Create content standards configuration.
Override this in ContentStandardsHandler subclasses.
async def create_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create a media buy. Override this to handle media buy creation. """ return not_supported("create_media_buy is not implemented by this agent")Create a media buy.
Override this to handle media buy creation.
async def create_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Create a property list for governance filtering. Override this in GovernanceHandler subclasses. """ return not_supported("create_property_list is not implemented by this agent")Create a property list for governance filtering.
Override this in GovernanceHandler subclasses.
async def delete_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Delete a property list. Override this in GovernanceHandler subclasses. """ return not_supported("delete_property_list is not implemented by this agent")Delete a property list.
Override this in GovernanceHandler subclasses.
async def get_adcp_capabilities(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_adcp_capabilities( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get ADCP capabilities. Override this to advertise your agent's capabilities. """ return not_supported("get_adcp_capabilities is not implemented by this agent")Get ADCP capabilities.
Override this to advertise your agent's capabilities.
async def get_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("get_content_standards is not implemented by this agent")Get content standards configuration.
Override this in ContentStandardsHandler subclasses.
async def get_creative_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get creative delivery metrics. Override this to provide functionality. """ return not_supported("get_creative_delivery is not implemented by this agent")Get creative delivery metrics.
Override this to provide functionality.
async def get_media_buy_artifacts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get artifacts associated with a media buy. Override this in ContentStandardsHandler subclasses. """ return not_supported("get_media_buy_artifacts is not implemented by this agent")Get artifacts associated with a media buy.
Override this in ContentStandardsHandler subclasses.
async def get_media_buy_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get media buy delivery metrics. Override this to provide delivery reporting. """ return not_supported("get_media_buy_delivery is not implemented by this agent")Get media buy delivery metrics.
Override this to provide delivery reporting.
async def get_products(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_products(self, params: dict[str, Any], context: ToolContext | None = None) -> Any: """Get advertising products. Override this to provide product catalog functionality. """ return not_supported("get_products is not implemented by this agent")Get advertising products.
Override this to provide product catalog functionality.
async def get_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get a property list with optional resolution. Override this in GovernanceHandler subclasses. """ return not_supported("get_property_list is not implemented by this agent")Get a property list with optional resolution.
Override this in GovernanceHandler subclasses.
async def get_signals(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def get_signals(self, params: dict[str, Any], context: ToolContext | None = None) -> Any: """Get available signals. Override this to provide signal catalog. """ return not_supported("get_signals is not implemented by this agent")Get available signals.
Override this to provide signal catalog.
async def list_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List accounts. Override this to provide functionality. """ return not_supported("list_accounts is not implemented by this agent")List accounts.
Override this to provide functionality.
async def list_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List content standards configurations. Override this in ContentStandardsHandler subclasses. """ return not_supported("list_content_standards is not implemented by this agent")List content standards configurations.
Override this in ContentStandardsHandler subclasses.
async def list_creative_formats(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List supported creative formats. Override this to provide creative format information. """ return not_supported("list_creative_formats is not implemented by this agent")List supported creative formats.
Override this to provide creative format information.
async def list_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List creatives. Override this to list synced creatives. """ return not_supported("list_creatives is not implemented by this agent")List creatives.
Override this to list synced creatives.
async def list_property_lists(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """List property lists. Override this in GovernanceHandler subclasses. """ return not_supported("list_property_lists is not implemented by this agent")List property lists.
Override this in GovernanceHandler subclasses.
async def log_event(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Log event. Override this to provide functionality. """ return not_supported("log_event is not implemented by this agent")Log event.
Override this to provide functionality.
async def preview_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Preview a creative rendering. Override this to provide creative preview functionality. """ return not_supported("preview_creative is not implemented by this agent")Preview a creative rendering.
Override this to provide creative preview functionality.
async def provide_performance_feedback(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Provide performance feedback. Override this to handle performance feedback ingestion. """ return not_supported("provide_performance_feedback is not implemented by this agent")Provide performance feedback.
Override this to handle performance feedback ingestion.
async def si_get_offering(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Get sponsored intelligence offering. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_get_offering is not implemented by this agent")Get sponsored intelligence offering.
Override this in SponsoredIntelligenceHandler subclasses.
async def si_initiate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Initiate sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_initiate_session is not implemented by this agent")Initiate sponsored intelligence session.
Override this in SponsoredIntelligenceHandler subclasses.
async def si_send_message(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Send message in sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_send_message is not implemented by this agent")Send message in sponsored intelligence session.
Override this in SponsoredIntelligenceHandler subclasses.
async def si_terminate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Terminate sponsored intelligence session. Override this in SponsoredIntelligenceHandler subclasses. """ return not_supported("si_terminate_session is not implemented by this agent")Terminate sponsored intelligence session.
Override this in SponsoredIntelligenceHandler subclasses.
async def sync_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync accounts. Override this to provide functionality. """ return not_supported("sync_accounts is not implemented by this agent")Sync accounts.
Override this to provide functionality.
async def sync_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync creatives. Override this to handle creative synchronization. """ return not_supported("sync_creatives is not implemented by this agent")Sync creatives.
Override this to handle creative synchronization.
async def sync_event_sources(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Sync event sources. Override this to provide functionality. """ return not_supported("sync_event_sources is not implemented by this agent")Sync event sources.
Override this to provide functionality.
async def update_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update content standards configuration. Override this in ContentStandardsHandler subclasses. """ return not_supported("update_content_standards is not implemented by this agent")Update content standards configuration.
Override this in ContentStandardsHandler subclasses.
async def update_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update a media buy. Override this to handle media buy updates. """ return not_supported("update_media_buy is not implemented by this agent")Update a media buy.
Override this to handle media buy updates.
async def update_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Update a property list. Override this in GovernanceHandler subclasses. """ return not_supported("update_property_list is not implemented by this agent")Update a property list.
Override this in GovernanceHandler subclasses.
async def validate_content_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> Any-
Expand source code
async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> Any: """Validate content delivery against standards. Override this in ContentStandardsHandler subclasses. """ return not_supported("validate_content_delivery is not implemented by this agent")Validate content delivery against standards.
Override this in ContentStandardsHandler subclasses.
class ContentStandardsHandler-
Expand source code
class ContentStandardsHandler(ADCPHandler): """Handler for Content Standards protocol. Subclass this to implement a Content Standards agent. All Content Standards operations must be implemented via the handle_* methods. The public methods (create_content_standards, etc.) handle validation and error handling automatically. Non-Content-Standards operations (get_products, create_media_buy, etc.) return 'not supported'. Example: class MyContentStandardsHandler(ContentStandardsHandler): async def handle_create_content_standards( self, request: CreateContentStandardsRequest, context: ToolContext | None = None ) -> CreateContentStandardsResponse: # Your implementation return CreateContentStandardsResponse(...) """ # ======================================================================== # Content Standards Operations - Override base class with validation # ======================================================================== async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CreateContentStandardsResponse | NotImplementedResponse: """Create content standards configuration. Validates params and delegates to handle_create_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Content standards creation response, or error response """ try: request = CreateContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_create_content_standards(request, context) async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetContentStandardsResponse | NotImplementedResponse: """Get content standards configuration. Validates params and delegates to handle_get_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Content standards response, or error response """ try: request = GetContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_content_standards(request, context) async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ListContentStandardsResponse | NotImplementedResponse: """List content standards configurations. Validates params and delegates to handle_list_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: List of content standards, or error response """ try: request = ListContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_list_content_standards(request, context) async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> UpdateContentStandardsResponse | NotImplementedResponse: """Update content standards configuration. Validates params and delegates to handle_update_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Updated content standards response, or error response """ try: request = UpdateContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_update_content_standards(request, context) async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CalibrateContentResponse | NotImplementedResponse: """Calibrate content against standards. Validates params and delegates to handle_calibrate_content. Args: params: Request parameters as dict context: Optional tool context Returns: Calibration response with scores and feedback, or error response """ try: request = CalibrateContentRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_calibrate_content(request, context) async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ValidateContentDeliveryResponse | NotImplementedResponse: """Validate content delivery against standards. Validates params and delegates to handle_validate_content_delivery. Args: params: Request parameters as dict context: Optional tool context Returns: Validation response, or error response """ try: request = ValidateContentDeliveryRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_validate_content_delivery(request, context) async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetMediaBuyArtifactsResponse | NotImplementedResponse: """Get artifacts associated with a media buy. Validates params and delegates to handle_get_media_buy_artifacts. Args: params: Request parameters as dict context: Optional tool context Returns: Media buy artifacts response, or error response """ try: request = GetMediaBuyArtifactsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_media_buy_artifacts(request, context) # ======================================================================== # Abstract handlers - Implement these in subclasses # ======================================================================== @abstractmethod async def handle_create_content_standards( self, request: CreateContentStandardsRequest, context: ToolContext | None = None, ) -> CreateContentStandardsResponse: """Handle create content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards creation request context: Optional tool context Returns: Content standards creation response """ ... @abstractmethod async def handle_get_content_standards( self, request: GetContentStandardsRequest, context: ToolContext | None = None, ) -> GetContentStandardsResponse: """Handle get content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards retrieval request context: Optional tool context Returns: Content standards response """ ... @abstractmethod async def handle_list_content_standards( self, request: ListContentStandardsRequest, context: ToolContext | None = None, ) -> ListContentStandardsResponse: """Handle list content standards request. Must be implemented by Content Standards agents. Args: request: Validated list content standards request context: Optional tool context Returns: List of content standards """ ... @abstractmethod async def handle_update_content_standards( self, request: UpdateContentStandardsRequest, context: ToolContext | None = None, ) -> UpdateContentStandardsResponse: """Handle update content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards update request context: Optional tool context Returns: Updated content standards response """ ... @abstractmethod async def handle_calibrate_content( self, request: CalibrateContentRequest, context: ToolContext | None = None, ) -> CalibrateContentResponse: """Handle calibrate content request. Must be implemented by Content Standards agents. Args: request: Validated calibration request with content to evaluate context: Optional tool context Returns: Calibration response with scores and feedback """ ... @abstractmethod async def handle_validate_content_delivery( self, request: ValidateContentDeliveryRequest, context: ToolContext | None = None, ) -> ValidateContentDeliveryResponse: """Handle validate content delivery request. Must be implemented by Content Standards agents. Args: request: Validated request with delivery data context: Optional tool context Returns: Validation response """ ... @abstractmethod async def handle_get_media_buy_artifacts( self, request: GetMediaBuyArtifactsRequest, context: ToolContext | None = None, ) -> GetMediaBuyArtifactsResponse: """Handle get media buy artifacts request. Must be implemented by Content Standards agents. Args: request: Validated artifacts retrieval request context: Optional tool context Returns: Media buy artifacts response """ ... # ======================================================================== # Non-Content-Standards Operations - Return 'not supported' # ======================================================================== async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "get_products is not supported by Content Standards agents. " "This agent handles content calibration and validation, not product catalog operations." ) async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_creative_formats is not supported by Content Standards agents.") async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_creatives is not supported by Content Standards agents.") async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_creatives is not supported by Content Standards agents.") async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("build_creative is not supported by Content Standards agents.") async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("preview_creative is not supported by Content Standards agents.") async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_creative_delivery is not supported by Content Standards agents.") async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "create_media_buy is not supported by Content Standards agents. " "This agent handles content calibration and validation, not media buying." ) async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("update_media_buy is not supported by Content Standards agents.") async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_media_buy_delivery is not supported by Content Standards agents.") async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_signals is not supported by Content Standards agents.") async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("activate_signal is not supported by Content Standards agents.") async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "provide_performance_feedback is not supported by Content Standards agents." ) async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_accounts is not supported by Content Standards agents.") async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_accounts is not supported by Content Standards agents.") async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("log_event is not supported by Content Standards agents.") async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_event_sources is not supported by Content Standards agents.") # ======================================================================== # V3 Sponsored Intelligence - Not supported # ======================================================================== async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "si_get_offering is not supported by Content Standards agents. " "Use a Sponsored Intelligence agent for SI operations." ) async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_initiate_session is not supported by Content Standards agents.") async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_send_message is not supported by Content Standards agents.") async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_terminate_session is not supported by Content Standards agents.") # ======================================================================== # V3 Governance (Property Lists) - Not supported # ======================================================================== async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "create_property_list is not supported by Content Standards agents. " "Use a Governance agent for property list operations." ) async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_property_list is not supported by Content Standards agents.") async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_property_lists is not supported by Content Standards agents.") async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("update_property_list is not supported by Content Standards agents.") async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("delete_property_list is not supported by Content Standards agents.")Handler for Content Standards protocol.
Subclass this to implement a Content Standards agent. All Content Standards operations must be implemented via the handle_* methods. The public methods (create_content_standards, etc.) handle validation and error handling automatically.
Non-Content-Standards operations (get_products, create_media_buy, etc.) return 'not supported'.
Example
class MyContentStandardsHandler(ContentStandardsHandler): async def handle_create_content_standards( self, request: CreateContentStandardsRequest, context: ToolContext | None = None ) -> CreateContentStandardsResponse: # Your implementation return CreateContentStandardsResponse(…)
Ancestors
- ADCPHandler
- abc.ABC
Methods
async def activate_signal(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("activate_signal is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def build_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("build_creative is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def calibrate_content(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> CalibrateContentResponse | NotImplementedResponse-
Expand source code
async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CalibrateContentResponse | NotImplementedResponse: """Calibrate content against standards. Validates params and delegates to handle_calibrate_content. Args: params: Request parameters as dict context: Optional tool context Returns: Calibration response with scores and feedback, or error response """ try: request = CalibrateContentRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_calibrate_content(request, context)Calibrate content against standards.
Validates params and delegates to handle_calibrate_content.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Calibration response with scores and feedback, or error response
async def create_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> CreateContentStandardsResponse | NotImplementedResponse-
Expand source code
async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CreateContentStandardsResponse | NotImplementedResponse: """Create content standards configuration. Validates params and delegates to handle_create_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Content standards creation response, or error response """ try: request = CreateContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_create_content_standards(request, context)Create content standards configuration.
Validates params and delegates to handle_create_content_standards.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Content standards creation response, or error response
async def create_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "create_media_buy is not supported by Content Standards agents. " "This agent handles content calibration and validation, not media buying." )Not supported by Content Standards agents.
async def create_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "create_property_list is not supported by Content Standards agents. " "Use a Governance agent for property list operations." )Not supported by Content Standards agents.
async def delete_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("delete_property_list is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def get_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> GetContentStandardsResponse | NotImplementedResponse-
Expand source code
async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetContentStandardsResponse | NotImplementedResponse: """Get content standards configuration. Validates params and delegates to handle_get_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Content standards response, or error response """ try: request = GetContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_content_standards(request, context)Get content standards configuration.
Validates params and delegates to handle_get_content_standards.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Content standards response, or error response
async def get_creative_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_creative_delivery is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def get_media_buy_artifacts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> GetMediaBuyArtifactsResponse | NotImplementedResponse-
Expand source code
async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetMediaBuyArtifactsResponse | NotImplementedResponse: """Get artifacts associated with a media buy. Validates params and delegates to handle_get_media_buy_artifacts. Args: params: Request parameters as dict context: Optional tool context Returns: Media buy artifacts response, or error response """ try: request = GetMediaBuyArtifactsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_media_buy_artifacts(request, context)Get artifacts associated with a media buy.
Validates params and delegates to handle_get_media_buy_artifacts.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Media buy artifacts response, or error response
async def get_media_buy_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_media_buy_delivery is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def get_products(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "get_products is not supported by Content Standards agents. " "This agent handles content calibration and validation, not product catalog operations." )Not supported by Content Standards agents.
async def get_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_property_list is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def get_signals(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("get_signals is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def handle_calibrate_content(self,
request: CalibrateContentRequest,
context: ToolContext | None = None) ‑> CalibrateContentResponse-
Expand source code
@abstractmethod async def handle_calibrate_content( self, request: CalibrateContentRequest, context: ToolContext | None = None, ) -> CalibrateContentResponse: """Handle calibrate content request. Must be implemented by Content Standards agents. Args: request: Validated calibration request with content to evaluate context: Optional tool context Returns: Calibration response with scores and feedback """ ...Handle calibrate content request.
Must be implemented by Content Standards agents.
Args
request- Validated calibration request with content to evaluate
context- Optional tool context
Returns
Calibration response with scores and feedback
async def handle_create_content_standards(self,
request: CreateContentStandardsRequest,
context: ToolContext | None = None) ‑> CreateContentStandardsResponse-
Expand source code
@abstractmethod async def handle_create_content_standards( self, request: CreateContentStandardsRequest, context: ToolContext | None = None, ) -> CreateContentStandardsResponse: """Handle create content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards creation request context: Optional tool context Returns: Content standards creation response """ ...Handle create content standards request.
Must be implemented by Content Standards agents.
Args
request- Validated content standards creation request
context- Optional tool context
Returns
Content standards creation response
async def handle_get_content_standards(self,
request: GetContentStandardsRequest,
context: ToolContext | None = None) ‑> GetContentStandardsResponse-
Expand source code
@abstractmethod async def handle_get_content_standards( self, request: GetContentStandardsRequest, context: ToolContext | None = None, ) -> GetContentStandardsResponse: """Handle get content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards retrieval request context: Optional tool context Returns: Content standards response """ ...Handle get content standards request.
Must be implemented by Content Standards agents.
Args
request- Validated content standards retrieval request
context- Optional tool context
Returns
Content standards response
async def handle_get_media_buy_artifacts(self,
request: GetMediaBuyArtifactsRequest,
context: ToolContext | None = None) ‑> GetMediaBuyArtifactsResponse-
Expand source code
@abstractmethod async def handle_get_media_buy_artifacts( self, request: GetMediaBuyArtifactsRequest, context: ToolContext | None = None, ) -> GetMediaBuyArtifactsResponse: """Handle get media buy artifacts request. Must be implemented by Content Standards agents. Args: request: Validated artifacts retrieval request context: Optional tool context Returns: Media buy artifacts response """ ...Handle get media buy artifacts request.
Must be implemented by Content Standards agents.
Args
request- Validated artifacts retrieval request
context- Optional tool context
Returns
Media buy artifacts response
async def handle_list_content_standards(self,
request: ListContentStandardsRequest,
context: ToolContext | None = None) ‑> ListContentStandardsResponse-
Expand source code
@abstractmethod async def handle_list_content_standards( self, request: ListContentStandardsRequest, context: ToolContext | None = None, ) -> ListContentStandardsResponse: """Handle list content standards request. Must be implemented by Content Standards agents. Args: request: Validated list content standards request context: Optional tool context Returns: List of content standards """ ...Handle list content standards request.
Must be implemented by Content Standards agents.
Args
request- Validated list content standards request
context- Optional tool context
Returns
List of content standards
async def handle_update_content_standards(self,
request: UpdateContentStandardsRequest,
context: ToolContext | None = None) ‑> UpdateContentStandardsResponse-
Expand source code
@abstractmethod async def handle_update_content_standards( self, request: UpdateContentStandardsRequest, context: ToolContext | None = None, ) -> UpdateContentStandardsResponse: """Handle update content standards request. Must be implemented by Content Standards agents. Args: request: Validated content standards update request context: Optional tool context Returns: Updated content standards response """ ...Handle update content standards request.
Must be implemented by Content Standards agents.
Args
request- Validated content standards update request
context- Optional tool context
Returns
Updated content standards response
async def handle_validate_content_delivery(self,
request: ValidateContentDeliveryRequest,
context: ToolContext | None = None) ‑> ValidateContentDeliveryResponse-
Expand source code
@abstractmethod async def handle_validate_content_delivery( self, request: ValidateContentDeliveryRequest, context: ToolContext | None = None, ) -> ValidateContentDeliveryResponse: """Handle validate content delivery request. Must be implemented by Content Standards agents. Args: request: Validated request with delivery data context: Optional tool context Returns: Validation response """ ...Handle validate content delivery request.
Must be implemented by Content Standards agents.
Args
request- Validated request with delivery data
context- Optional tool context
Returns
Validation response
async def list_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_accounts is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def list_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> ListContentStandardsResponse | NotImplementedResponse-
Expand source code
async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ListContentStandardsResponse | NotImplementedResponse: """List content standards configurations. Validates params and delegates to handle_list_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: List of content standards, or error response """ try: request = ListContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_list_content_standards(request, context)List content standards configurations.
Validates params and delegates to handle_list_content_standards.
Args
params- Request parameters as dict
context- Optional tool context
Returns
List of content standards, or error response
async def list_creative_formats(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_creative_formats is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def list_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_creatives is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def list_property_lists(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("list_property_lists is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def log_event(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("log_event is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def preview_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("preview_creative is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def provide_performance_feedback(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "provide_performance_feedback is not supported by Content Standards agents." )Not supported by Content Standards agents.
async def si_get_offering(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported( "si_get_offering is not supported by Content Standards agents. " "Use a Sponsored Intelligence agent for SI operations." )Not supported by Content Standards agents.
async def si_initiate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_initiate_session is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def si_send_message(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_send_message is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def si_terminate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("si_terminate_session is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def sync_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_accounts is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def sync_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_creatives is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def sync_event_sources(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("sync_event_sources is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def update_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> UpdateContentStandardsResponse | NotImplementedResponse-
Expand source code
async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None, ) -> UpdateContentStandardsResponse | NotImplementedResponse: """Update content standards configuration. Validates params and delegates to handle_update_content_standards. Args: params: Request parameters as dict context: Optional tool context Returns: Updated content standards response, or error response """ try: request = UpdateContentStandardsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_update_content_standards(request, context)Update content standards configuration.
Validates params and delegates to handle_update_content_standards.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Updated content standards response, or error response
async def update_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("update_media_buy is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def update_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Content Standards agents.""" return not_supported("update_property_list is not supported by Content Standards agents.")Not supported by Content Standards agents.
async def validate_content_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> ValidateContentDeliveryResponse | NotImplementedResponse-
Expand source code
async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ValidateContentDeliveryResponse | NotImplementedResponse: """Validate content delivery against standards. Validates params and delegates to handle_validate_content_delivery. Args: params: Request parameters as dict context: Optional tool context Returns: Validation response, or error response """ try: request = ValidateContentDeliveryRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_validate_content_delivery(request, context)Validate content delivery against standards.
Validates params and delegates to handle_validate_content_delivery.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Validation response, or error response
Inherited members
class GovernanceHandler-
Expand source code
class GovernanceHandler(ADCPHandler): """Handler for Governance protocol (Property Lists). Subclass this to implement a Governance agent that manages property lists for brand safety, compliance scoring, and quality filtering. All property list operations must be implemented via the handle_* methods. The public methods (create_property_list, etc.) handle validation and error handling automatically. Non-governance operations (get_products, create_media_buy, etc.) return 'not supported'. Example: class MyGovernanceHandler(GovernanceHandler): async def handle_create_property_list( self, request: CreatePropertyListRequest, context: ToolContext | None = None ) -> CreatePropertyListResponse: # Store the list definition list_id = generate_id() # ... return CreatePropertyListResponse(list=PropertyList(...)) """ # ======================================================================== # Governance Operations - Override base class with validation # ======================================================================== async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CreatePropertyListResponse | NotImplementedResponse: """Create a property list for governance filtering. Validates params and delegates to handle_create_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with created property list metadata, or error response """ try: request = CreatePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_create_property_list(request, context) async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetPropertyListResponse | NotImplementedResponse: """Get a property list with optional resolution. Validates params and delegates to handle_get_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with list metadata and optionally resolved identifiers """ try: request = GetPropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_property_list(request, context) async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ListPropertyListsResponse | NotImplementedResponse: """List property lists. Validates params and delegates to handle_list_property_lists. Args: params: Request parameters as dict context: Optional tool context Returns: Response with array of property list metadata """ try: request = ListPropertyListsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_list_property_lists(request, context) async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> UpdatePropertyListResponse | NotImplementedResponse: """Update a property list. Validates params and delegates to handle_update_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with updated property list """ try: request = UpdatePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_update_property_list(request, context) async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> DeletePropertyListResponse | NotImplementedResponse: """Delete a property list. Validates params and delegates to handle_delete_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response confirming deletion """ try: request = DeletePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_delete_property_list(request, context) # ======================================================================== # Abstract handlers - Implement these in subclasses # ======================================================================== @abstractmethod async def handle_create_property_list( self, request: CreatePropertyListRequest, context: ToolContext | None = None, ) -> CreatePropertyListResponse: """Handle create property list request. Must be implemented by Governance agents. Args: request: Validated property list creation request context: Optional tool context Returns: Response with created property list metadata """ ... @abstractmethod async def handle_get_property_list( self, request: GetPropertyListRequest, context: ToolContext | None = None, ) -> GetPropertyListResponse: """Handle get property list request. Must be implemented by Governance agents. When resolve=true, evaluates filters and returns matching property identifiers. Otherwise returns only metadata. Args: request: Validated request with list_id and optional resolve flag context: Optional tool context Returns: Response with list metadata and optionally resolved identifiers """ ... @abstractmethod async def handle_list_property_lists( self, request: ListPropertyListsRequest, context: ToolContext | None = None, ) -> ListPropertyListsResponse: """Handle list property lists request. Must be implemented by Governance agents. Args: request: Validated request with optional filtering and pagination context: Optional tool context Returns: Response with array of property list metadata """ ... @abstractmethod async def handle_update_property_list( self, request: UpdatePropertyListRequest, context: ToolContext | None = None, ) -> UpdatePropertyListResponse: """Handle update property list request. Must be implemented by Governance agents. Args: request: Validated request with list_id and updates context: Optional tool context Returns: Response with updated property list """ ... @abstractmethod async def handle_delete_property_list( self, request: DeletePropertyListRequest, context: ToolContext | None = None, ) -> DeletePropertyListResponse: """Handle delete property list request. Must be implemented by Governance agents. Args: request: Validated request with list_id context: Optional tool context Returns: Response confirming deletion """ ... # ======================================================================== # Non-Governance Operations - Return 'not supported' # ======================================================================== async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "get_products is not supported by Governance agents. " "This agent manages property lists for filtering, not product catalogs." ) async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_creative_formats is not supported by Governance agents.") async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_creatives is not supported by Governance agents.") async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_creatives is not supported by Governance agents.") async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("build_creative is not supported by Governance agents.") async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("preview_creative is not supported by Governance agents.") async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_creative_delivery is not supported by Governance agents.") async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "create_media_buy is not supported by Governance agents. " "This agent manages property lists, not media buying." ) async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("update_media_buy is not supported by Governance agents.") async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_media_buy_delivery is not supported by Governance agents.") async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_signals is not supported by Governance agents.") async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("activate_signal is not supported by Governance agents.") async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("provide_performance_feedback is not supported by Governance agents.") async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_accounts is not supported by Governance agents.") async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_accounts is not supported by Governance agents.") async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("log_event is not supported by Governance agents.") async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_event_sources is not supported by Governance agents.") # ======================================================================== # V3 Content Standards - Not supported # ======================================================================== async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "create_content_standards is not supported by Governance agents. " "Use a Content Standards agent for content calibration." ) async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_content_standards is not supported by Governance agents.") async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_content_standards is not supported by Governance agents.") async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("update_content_standards is not supported by Governance agents.") async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("calibrate_content is not supported by Governance agents.") async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("validate_content_delivery is not supported by Governance agents.") async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_media_buy_artifacts is not supported by Governance agents.") # ======================================================================== # V3 Sponsored Intelligence - Not supported # ======================================================================== async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "si_get_offering is not supported by Governance agents. " "Use a Sponsored Intelligence agent for SI operations." ) async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_initiate_session is not supported by Governance agents.") async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_send_message is not supported by Governance agents.") async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_terminate_session is not supported by Governance agents.")Handler for Governance protocol (Property Lists).
Subclass this to implement a Governance agent that manages property lists for brand safety, compliance scoring, and quality filtering.
All property list operations must be implemented via the handle_* methods. The public methods (create_property_list, etc.) handle validation and error handling automatically.
Non-governance operations (get_products, create_media_buy, etc.) return 'not supported'.
Example
class MyGovernanceHandler(GovernanceHandler): async def handle_create_property_list( self, request: CreatePropertyListRequest, context: ToolContext | None = None ) -> CreatePropertyListResponse: # Store the list definition list_id = generate_id() # … return CreatePropertyListResponse(list=PropertyList(…))
Ancestors
- ADCPHandler
- abc.ABC
Methods
async def activate_signal(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("activate_signal is not supported by Governance agents.")Not supported by Governance agents.
async def build_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("build_creative is not supported by Governance agents.")Not supported by Governance agents.
async def calibrate_content(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("calibrate_content is not supported by Governance agents.")Not supported by Governance agents.
async def create_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "create_content_standards is not supported by Governance agents. " "Use a Content Standards agent for content calibration." )Not supported by Governance agents.
async def create_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "create_media_buy is not supported by Governance agents. " "This agent manages property lists, not media buying." )Not supported by Governance agents.
async def create_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> CreatePropertyListResponse | NotImplementedResponse-
Expand source code
async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> CreatePropertyListResponse | NotImplementedResponse: """Create a property list for governance filtering. Validates params and delegates to handle_create_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with created property list metadata, or error response """ try: request = CreatePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_create_property_list(request, context)Create a property list for governance filtering.
Validates params and delegates to handle_create_property_list.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Response with created property list metadata, or error response
async def delete_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> DeletePropertyListResponse | NotImplementedResponse-
Expand source code
async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> DeletePropertyListResponse | NotImplementedResponse: """Delete a property list. Validates params and delegates to handle_delete_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response confirming deletion """ try: request = DeletePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_delete_property_list(request, context)Delete a property list.
Validates params and delegates to handle_delete_property_list.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Response confirming deletion
async def get_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_content_standards is not supported by Governance agents.")Not supported by Governance agents.
async def get_creative_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_creative_delivery is not supported by Governance agents.")Not supported by Governance agents.
async def get_media_buy_artifacts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_media_buy_artifacts is not supported by Governance agents.")Not supported by Governance agents.
async def get_media_buy_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_media_buy_delivery is not supported by Governance agents.")Not supported by Governance agents.
async def get_products(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "get_products is not supported by Governance agents. " "This agent manages property lists for filtering, not product catalogs." )Not supported by Governance agents.
async def get_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> GetPropertyListResponse | NotImplementedResponse-
Expand source code
async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> GetPropertyListResponse | NotImplementedResponse: """Get a property list with optional resolution. Validates params and delegates to handle_get_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with list metadata and optionally resolved identifiers """ try: request = GetPropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_get_property_list(request, context)Get a property list with optional resolution.
Validates params and delegates to handle_get_property_list.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Response with list metadata and optionally resolved identifiers
async def get_signals(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("get_signals is not supported by Governance agents.")Not supported by Governance agents.
async def handle_create_property_list(self,
request: CreatePropertyListRequest,
context: ToolContext | None = None) ‑> CreatePropertyListResponse-
Expand source code
@abstractmethod async def handle_create_property_list( self, request: CreatePropertyListRequest, context: ToolContext | None = None, ) -> CreatePropertyListResponse: """Handle create property list request. Must be implemented by Governance agents. Args: request: Validated property list creation request context: Optional tool context Returns: Response with created property list metadata """ ...Handle create property list request.
Must be implemented by Governance agents.
Args
request- Validated property list creation request
context- Optional tool context
Returns
Response with created property list metadata
async def handle_delete_property_list(self,
request: DeletePropertyListRequest,
context: ToolContext | None = None) ‑> DeletePropertyListResponse-
Expand source code
@abstractmethod async def handle_delete_property_list( self, request: DeletePropertyListRequest, context: ToolContext | None = None, ) -> DeletePropertyListResponse: """Handle delete property list request. Must be implemented by Governance agents. Args: request: Validated request with list_id context: Optional tool context Returns: Response confirming deletion """ ...Handle delete property list request.
Must be implemented by Governance agents.
Args
request- Validated request with list_id
context- Optional tool context
Returns
Response confirming deletion
async def handle_get_property_list(self,
request: GetPropertyListRequest,
context: ToolContext | None = None) ‑> GetPropertyListResponse-
Expand source code
@abstractmethod async def handle_get_property_list( self, request: GetPropertyListRequest, context: ToolContext | None = None, ) -> GetPropertyListResponse: """Handle get property list request. Must be implemented by Governance agents. When resolve=true, evaluates filters and returns matching property identifiers. Otherwise returns only metadata. Args: request: Validated request with list_id and optional resolve flag context: Optional tool context Returns: Response with list metadata and optionally resolved identifiers """ ...Handle get property list request.
Must be implemented by Governance agents.
When resolve=true, evaluates filters and returns matching property identifiers. Otherwise returns only metadata.
Args
request- Validated request with list_id and optional resolve flag
context- Optional tool context
Returns
Response with list metadata and optionally resolved identifiers
async def handle_list_property_lists(self,
request: ListPropertyListsRequest,
context: ToolContext | None = None) ‑> ListPropertyListsResponse-
Expand source code
@abstractmethod async def handle_list_property_lists( self, request: ListPropertyListsRequest, context: ToolContext | None = None, ) -> ListPropertyListsResponse: """Handle list property lists request. Must be implemented by Governance agents. Args: request: Validated request with optional filtering and pagination context: Optional tool context Returns: Response with array of property list metadata """ ...Handle list property lists request.
Must be implemented by Governance agents.
Args
request- Validated request with optional filtering and pagination
context- Optional tool context
Returns
Response with array of property list metadata
async def handle_update_property_list(self,
request: UpdatePropertyListRequest,
context: ToolContext | None = None) ‑> UpdatePropertyListResponse-
Expand source code
@abstractmethod async def handle_update_property_list( self, request: UpdatePropertyListRequest, context: ToolContext | None = None, ) -> UpdatePropertyListResponse: """Handle update property list request. Must be implemented by Governance agents. Args: request: Validated request with list_id and updates context: Optional tool context Returns: Response with updated property list """ ...Handle update property list request.
Must be implemented by Governance agents.
Args
request- Validated request with list_id and updates
context- Optional tool context
Returns
Response with updated property list
async def list_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_accounts is not supported by Governance agents.")Not supported by Governance agents.
async def list_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_content_standards is not supported by Governance agents.")Not supported by Governance agents.
async def list_creative_formats(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_creative_formats is not supported by Governance agents.")Not supported by Governance agents.
async def list_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("list_creatives is not supported by Governance agents.")Not supported by Governance agents.
async def list_property_lists(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> ListPropertyListsResponse | NotImplementedResponse-
Expand source code
async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None, ) -> ListPropertyListsResponse | NotImplementedResponse: """List property lists. Validates params and delegates to handle_list_property_lists. Args: params: Request parameters as dict context: Optional tool context Returns: Response with array of property list metadata """ try: request = ListPropertyListsRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_list_property_lists(request, context)List property lists.
Validates params and delegates to handle_list_property_lists.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Response with array of property list metadata
async def log_event(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("log_event is not supported by Governance agents.")Not supported by Governance agents.
async def preview_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("preview_creative is not supported by Governance agents.")Not supported by Governance agents.
async def provide_performance_feedback(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("provide_performance_feedback is not supported by Governance agents.")Not supported by Governance agents.
async def si_get_offering(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported( "si_get_offering is not supported by Governance agents. " "Use a Sponsored Intelligence agent for SI operations." )Not supported by Governance agents.
async def si_initiate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_initiate_session is not supported by Governance agents.")Not supported by Governance agents.
async def si_send_message(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_send_message is not supported by Governance agents.")Not supported by Governance agents.
async def si_terminate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("si_terminate_session is not supported by Governance agents.")Not supported by Governance agents.
async def sync_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_accounts is not supported by Governance agents.")Not supported by Governance agents.
async def sync_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_creatives is not supported by Governance agents.")Not supported by Governance agents.
async def sync_event_sources(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("sync_event_sources is not supported by Governance agents.")Not supported by Governance agents.
async def update_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("update_content_standards is not supported by Governance agents.")Not supported by Governance agents.
async def update_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("update_media_buy is not supported by Governance agents.")Not supported by Governance agents.
async def update_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> UpdatePropertyListResponse | NotImplementedResponse-
Expand source code
async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None, ) -> UpdatePropertyListResponse | NotImplementedResponse: """Update a property list. Validates params and delegates to handle_update_property_list. Args: params: Request parameters as dict context: Optional tool context Returns: Response with updated property list """ try: request = UpdatePropertyListRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_update_property_list(request, context)Update a property list.
Validates params and delegates to handle_update_property_list.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Response with updated property list
async def validate_content_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Governance agents.""" return not_supported("validate_content_delivery is not supported by Governance agents.")Not supported by Governance agents.
Inherited members
class MCPToolSet (handler: ADCPHandler)-
Expand source code
class MCPToolSet: """Collection of MCP tools from an ADCP handler. Provides tool definitions and handlers for registering with an MCP server. """ def __init__(self, handler: ADCPHandler): """Create tool set from handler. Args: handler: ADCP handler instance """ self.handler = handler self._tools: dict[str, Callable[[dict[str, Any]], Any]] = {} # Create tool callers for all methods for tool_def in ADCP_TOOL_DEFINITIONS: name = tool_def["name"] self._tools[name] = create_tool_caller(handler, name) @property def tool_definitions(self) -> list[dict[str, Any]]: """Get MCP tool definitions.""" return ADCP_TOOL_DEFINITIONS.copy() async def call_tool(self, name: str, params: dict[str, Any]) -> Any: """Call a tool by name. Args: name: Tool name params: Tool parameters Returns: Tool result Raises: KeyError: If tool not found """ if name not in self._tools: raise KeyError(f"Unknown tool: {name}") return await self._tools[name](params) def get_tool_names(self) -> list[str]: """Get list of available tool names.""" return list(self._tools.keys())Collection of MCP tools from an ADCP handler.
Provides tool definitions and handlers for registering with an MCP server.
Create tool set from handler.
Args
handler- ADCP handler instance
Instance variables
prop tool_definitions : list[dict[str, Any]]-
Expand source code
@property def tool_definitions(self) -> list[dict[str, Any]]: """Get MCP tool definitions.""" return ADCP_TOOL_DEFINITIONS.copy()Get MCP tool definitions.
Methods
async def call_tool(self, name: str, params: dict[str, Any]) ‑> Any-
Expand source code
async def call_tool(self, name: str, params: dict[str, Any]) -> Any: """Call a tool by name. Args: name: Tool name params: Tool parameters Returns: Tool result Raises: KeyError: If tool not found """ if name not in self._tools: raise KeyError(f"Unknown tool: {name}") return await self._tools[name](params)Call a tool by name.
Args
name- Tool name
params- Tool parameters
Returns
Tool result
Raises
KeyError- If tool not found
def get_tool_names(self) ‑> list[str]-
Expand source code
def get_tool_names(self) -> list[str]: """Get list of available tool names.""" return list(self._tools.keys())Get list of available tool names.
class NotImplementedResponse (**data: Any)-
Expand source code
class NotImplementedResponse(BaseModel): """Standard response for operations not supported by this handler.""" supported: bool = False reason: str = "This operation is not supported by this agent" error: Error | None = NoneStandard response for operations not supported by this handler.
Create a new model by parsing and validating input data from keyword arguments.
Raises [
ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var error : Error | Nonevar model_configvar reason : strvar supported : bool
class ProposalBuilder (name: str, proposal_id: str | None = None)-
Expand source code
class ProposalBuilder: """Builder for ADCP Proposals. Helps construct valid proposals for get_products responses. Proposals represent recommended media plans with budget allocations. Example: proposal = ( ProposalBuilder("Q1 Brand Campaign") .with_description("Balanced awareness campaign") .add_allocation("product-1", 60) .with_rationale("High-impact display") .add_allocation("product-2", 40) .with_rationale("Contextual targeting") .with_budget_guidance(min=10000, recommended=25000, max=50000) .build() ) """ def __init__(self, name: str, proposal_id: str | None = None): """Create a new proposal builder. Args: name: Human-readable name for the proposal proposal_id: Unique ID (auto-generated if not provided) """ self._name = name self._proposal_id = proposal_id or f"proposal-{uuid4().hex[:8]}" self._description: str | None = None self._brief_alignment: str | None = None self._expires_at: datetime | None = None self._allocations: list[dict[str, Any]] = [] self._budget_guidance: dict[str, Any] | None = None self._current_allocation: AllocationBuilder | None = None self._ext: dict[str, Any] | None = None def with_description(self, description: str) -> ProposalBuilder: """Add description explaining the proposal strategy. Args: description: What the proposal achieves """ self._finalize_allocation() self._description = description return self def with_brief_alignment(self, alignment: str) -> ProposalBuilder: """Explain how proposal aligns with campaign brief. Args: alignment: Alignment explanation """ self._finalize_allocation() self._brief_alignment = alignment return self def expires_in(self, days: int = 7) -> ProposalBuilder: """Set expiration relative to now. Args: days: Number of days until expiration """ self._finalize_allocation() self._expires_at = datetime.now(timezone.utc) + timedelta(days=days) return self def expires_at(self, expires: datetime) -> ProposalBuilder: """Set absolute expiration time. Args: expires: When the proposal expires """ self._finalize_allocation() self._expires_at = expires return self def add_allocation( self, product_id: str, allocation_percentage: float, ) -> ProposalBuilder: """Add a product allocation. After calling this, chain allocation methods (with_rationale, etc.) before adding another allocation or calling build(). Args: product_id: ID of the product allocation_percentage: Percentage of budget (0-100) Returns: Self for method chaining """ self._finalize_allocation() self._current_allocation = AllocationBuilder(product_id, allocation_percentage) return self def with_pricing_option(self, pricing_option_id: str) -> ProposalBuilder: """Set pricing option for current allocation.""" if self._current_allocation: self._current_allocation.with_pricing_option(pricing_option_id) return self def with_rationale(self, rationale: str) -> ProposalBuilder: """Add rationale for current allocation.""" if self._current_allocation: self._current_allocation.with_rationale(rationale) return self def with_sequence(self, sequence: int) -> ProposalBuilder: """Set sequence for current allocation.""" if self._current_allocation: self._current_allocation.with_sequence(sequence) return self def with_tags(self, tags: list[str]) -> ProposalBuilder: """Add tags for current allocation.""" if self._current_allocation: self._current_allocation.with_tags(tags) return self def with_budget_guidance( self, *, min: float | None = None, recommended: float | None = None, max: float | None = None, currency: str = "USD", ) -> ProposalBuilder: """Add budget guidance for the proposal. Args: min: Minimum recommended budget recommended: Optimal budget max: Maximum before diminishing returns currency: ISO 4217 currency code """ self._finalize_allocation() self._budget_guidance = { "currency": currency, } if min is not None: self._budget_guidance["min"] = min if recommended is not None: self._budget_guidance["recommended"] = recommended if max is not None: self._budget_guidance["max"] = max return self def with_extension(self, ext: dict[str, Any]) -> ProposalBuilder: """Add extension data. Args: ext: Extension object """ self._finalize_allocation() self._ext = ext return self def _finalize_allocation(self) -> None: """Finalize current allocation and add to list.""" if self._current_allocation: self._allocations.append(self._current_allocation.build()) self._current_allocation = None def build(self) -> dict[str, Any]: """Build the proposal dict. Returns: Proposal as a dict ready for use in get_products response Raises: ValueError: If allocations don't sum to 100 """ self._finalize_allocation() if not self._allocations: raise ValueError("Proposal must have at least one allocation") total = sum(a["allocation_percentage"] for a in self._allocations) if abs(total - 100.0) > 0.01: raise ValueError(f"Allocation percentages must sum to 100, got {total}") proposal: dict[str, Any] = { "proposal_id": self._proposal_id, "name": self._name, "allocations": self._allocations, } if self._description: proposal["description"] = self._description if self._brief_alignment: proposal["brief_alignment"] = self._brief_alignment if self._expires_at: proposal["expires_at"] = self._expires_at.isoformat() if self._budget_guidance: proposal["total_budget_guidance"] = self._budget_guidance if self._ext: proposal["ext"] = self._ext return proposal def validate(self) -> list[str]: """Validate the proposal without building. Returns: List of validation errors (empty if valid) """ errors: list[str] = [] if self._current_allocation: allocations = self._allocations + [self._current_allocation.build()] else: allocations = self._allocations if not allocations: errors.append("Proposal must have at least one allocation") else: total = sum(a["allocation_percentage"] for a in allocations) if abs(total - 100.0) > 0.01: errors.append(f"Allocation percentages must sum to 100, got {total}") return errorsBuilder for ADCP Proposals.
Helps construct valid proposals for get_products responses. Proposals represent recommended media plans with budget allocations.
Example
proposal = ( ProposalBuilder("Q1 Brand Campaign") .with_description("Balanced awareness campaign") .add_allocation("product-1", 60) .with_rationale("High-impact display") .add_allocation("product-2", 40) .with_rationale("Contextual targeting") .with_budget_guidance(min=10000, recommended=25000, max=50000) .build() )
Create a new proposal builder.
Args
name- Human-readable name for the proposal
proposal_id- Unique ID (auto-generated if not provided)
Methods
def add_allocation(self, product_id: str, allocation_percentage: float) ‑> ProposalBuilder-
Expand source code
def add_allocation( self, product_id: str, allocation_percentage: float, ) -> ProposalBuilder: """Add a product allocation. After calling this, chain allocation methods (with_rationale, etc.) before adding another allocation or calling build(). Args: product_id: ID of the product allocation_percentage: Percentage of budget (0-100) Returns: Self for method chaining """ self._finalize_allocation() self._current_allocation = AllocationBuilder(product_id, allocation_percentage) return selfAdd a product allocation.
After calling this, chain allocation methods (with_rationale, etc.) before adding another allocation or calling build().
Args
product_id- ID of the product
allocation_percentage- Percentage of budget (0-100)
Returns
Self for method chaining
def build(self) ‑> dict[str, typing.Any]-
Expand source code
def build(self) -> dict[str, Any]: """Build the proposal dict. Returns: Proposal as a dict ready for use in get_products response Raises: ValueError: If allocations don't sum to 100 """ self._finalize_allocation() if not self._allocations: raise ValueError("Proposal must have at least one allocation") total = sum(a["allocation_percentage"] for a in self._allocations) if abs(total - 100.0) > 0.01: raise ValueError(f"Allocation percentages must sum to 100, got {total}") proposal: dict[str, Any] = { "proposal_id": self._proposal_id, "name": self._name, "allocations": self._allocations, } if self._description: proposal["description"] = self._description if self._brief_alignment: proposal["brief_alignment"] = self._brief_alignment if self._expires_at: proposal["expires_at"] = self._expires_at.isoformat() if self._budget_guidance: proposal["total_budget_guidance"] = self._budget_guidance if self._ext: proposal["ext"] = self._ext return proposalBuild the proposal dict.
Returns
Proposal as a dict ready for use in get_products response
Raises
ValueError- If allocations don't sum to 100
def expires_at(self, expires: datetime) ‑> ProposalBuilder-
Expand source code
def expires_at(self, expires: datetime) -> ProposalBuilder: """Set absolute expiration time. Args: expires: When the proposal expires """ self._finalize_allocation() self._expires_at = expires return selfSet absolute expiration time.
Args
expires- When the proposal expires
def expires_in(self, days: int = 7) ‑> ProposalBuilder-
Expand source code
def expires_in(self, days: int = 7) -> ProposalBuilder: """Set expiration relative to now. Args: days: Number of days until expiration """ self._finalize_allocation() self._expires_at = datetime.now(timezone.utc) + timedelta(days=days) return selfSet expiration relative to now.
Args
days- Number of days until expiration
def validate(self) ‑> list[str]-
Expand source code
def validate(self) -> list[str]: """Validate the proposal without building. Returns: List of validation errors (empty if valid) """ errors: list[str] = [] if self._current_allocation: allocations = self._allocations + [self._current_allocation.build()] else: allocations = self._allocations if not allocations: errors.append("Proposal must have at least one allocation") else: total = sum(a["allocation_percentage"] for a in allocations) if abs(total - 100.0) > 0.01: errors.append(f"Allocation percentages must sum to 100, got {total}") return errorsValidate the proposal without building.
Returns
List of validation errors (empty if valid)
def with_brief_alignment(self, alignment: str) ‑> ProposalBuilder-
Expand source code
def with_brief_alignment(self, alignment: str) -> ProposalBuilder: """Explain how proposal aligns with campaign brief. Args: alignment: Alignment explanation """ self._finalize_allocation() self._brief_alignment = alignment return selfExplain how proposal aligns with campaign brief.
Args
alignment- Alignment explanation
def with_budget_guidance(self,
*,
min: float | None = None,
recommended: float | None = None,
max: float | None = None,
currency: str = 'USD') ‑> ProposalBuilder-
Expand source code
def with_budget_guidance( self, *, min: float | None = None, recommended: float | None = None, max: float | None = None, currency: str = "USD", ) -> ProposalBuilder: """Add budget guidance for the proposal. Args: min: Minimum recommended budget recommended: Optimal budget max: Maximum before diminishing returns currency: ISO 4217 currency code """ self._finalize_allocation() self._budget_guidance = { "currency": currency, } if min is not None: self._budget_guidance["min"] = min if recommended is not None: self._budget_guidance["recommended"] = recommended if max is not None: self._budget_guidance["max"] = max return selfAdd budget guidance for the proposal.
Args
min- Minimum recommended budget
recommended- Optimal budget
max- Maximum before diminishing returns
currency- ISO 4217 currency code
def with_description(self, description: str) ‑> ProposalBuilder-
Expand source code
def with_description(self, description: str) -> ProposalBuilder: """Add description explaining the proposal strategy. Args: description: What the proposal achieves """ self._finalize_allocation() self._description = description return selfAdd description explaining the proposal strategy.
Args
description- What the proposal achieves
def with_extension(self, ext: dict[str, Any]) ‑> ProposalBuilder-
Expand source code
def with_extension(self, ext: dict[str, Any]) -> ProposalBuilder: """Add extension data. Args: ext: Extension object """ self._finalize_allocation() self._ext = ext return selfAdd extension data.
Args
ext- Extension object
def with_pricing_option(self, pricing_option_id: str) ‑> ProposalBuilder-
Expand source code
def with_pricing_option(self, pricing_option_id: str) -> ProposalBuilder: """Set pricing option for current allocation.""" if self._current_allocation: self._current_allocation.with_pricing_option(pricing_option_id) return selfSet pricing option for current allocation.
def with_rationale(self, rationale: str) ‑> ProposalBuilder-
Expand source code
def with_rationale(self, rationale: str) -> ProposalBuilder: """Add rationale for current allocation.""" if self._current_allocation: self._current_allocation.with_rationale(rationale) return selfAdd rationale for current allocation.
def with_sequence(self, sequence: int) ‑> ProposalBuilder-
Expand source code
def with_sequence(self, sequence: int) -> ProposalBuilder: """Set sequence for current allocation.""" if self._current_allocation: self._current_allocation.with_sequence(sequence) return selfSet sequence for current allocation.
-
Expand source code
def with_tags(self, tags: list[str]) -> ProposalBuilder: """Add tags for current allocation.""" if self._current_allocation: self._current_allocation.with_tags(tags) return selfAdd tags for current allocation.
class ProposalNotSupported (**data: Any)-
Expand source code
class ProposalNotSupported(BaseModel): """Response indicating proposal generation is not supported. Use this when your agent supports get_products but not proposal generation. """ proposals_supported: bool = False reason: str = "This agent does not generate proposals" error: Error | None = NoneResponse indicating proposal generation is not supported.
Use this when your agent supports get_products but not proposal generation.
Create a new model by parsing and validating input data from keyword arguments.
Raises [
ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var error : Error | Nonevar model_configvar proposals_supported : boolvar reason : str
class SponsoredIntelligenceHandler-
Expand source code
class SponsoredIntelligenceHandler(ADCPHandler): """Handler for Sponsored Intelligence protocol. Subclass this to implement a Sponsored Intelligence agent. All SI operations must be implemented via the handle_* methods. The public methods (si_get_offering, etc.) handle validation and error handling automatically. Non-SI operations (get_products, create_media_buy, content standards, etc.) return 'not supported'. Example: class MySIHandler(SponsoredIntelligenceHandler): async def handle_si_get_offering( self, request: SiGetOfferingRequest, context: ToolContext | None = None ) -> SiGetOfferingResponse: # Your implementation return SiGetOfferingResponse(...) """ # ======================================================================== # Sponsored Intelligence Operations - Override base class with validation # ======================================================================== async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiGetOfferingResponse | NotImplementedResponse: """Get sponsored intelligence offering. Validates params and delegates to handle_si_get_offering. Args: params: Request parameters as dict context: Optional tool context Returns: SI offering response with capabilities and pricing, or error response """ try: request = SiGetOfferingRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_get_offering(request, context) async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiInitiateSessionResponse | NotImplementedResponse: """Initiate sponsored intelligence session. Validates params and delegates to handle_si_initiate_session. Args: params: Request parameters as dict context: Optional tool context Returns: Session initiation response with session ID, or error response """ try: request = SiInitiateSessionRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_initiate_session(request, context) async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiSendMessageResponse | NotImplementedResponse: """Send message in sponsored intelligence session. Validates params and delegates to handle_si_send_message. Args: params: Request parameters as dict context: Optional tool context Returns: Message response with AI-generated content, or error response """ try: request = SiSendMessageRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_send_message(request, context) async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiTerminateSessionResponse | NotImplementedResponse: """Terminate sponsored intelligence session. Validates params and delegates to handle_si_terminate_session. Args: params: Request parameters as dict context: Optional tool context Returns: Termination response with session summary, or error response """ try: request = SiTerminateSessionRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_terminate_session(request, context) # ======================================================================== # Abstract handlers - Implement these in subclasses # ======================================================================== @abstractmethod async def handle_si_get_offering( self, request: SiGetOfferingRequest, context: ToolContext | None = None, ) -> SiGetOfferingResponse: """Handle get offering request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated SI offering request context: Optional tool context Returns: SI offering response with capabilities and pricing """ ... @abstractmethod async def handle_si_initiate_session( self, request: SiInitiateSessionRequest, context: ToolContext | None = None, ) -> SiInitiateSessionResponse: """Handle initiate session request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated session initiation request context: Optional tool context Returns: Session initiation response with session ID """ ... @abstractmethod async def handle_si_send_message( self, request: SiSendMessageRequest, context: ToolContext | None = None, ) -> SiSendMessageResponse: """Handle send message request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated message request with session ID and content context: Optional tool context Returns: Message response with AI-generated content """ ... @abstractmethod async def handle_si_terminate_session( self, request: SiTerminateSessionRequest, context: ToolContext | None = None, ) -> SiTerminateSessionResponse: """Handle terminate session request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated session termination request context: Optional tool context Returns: Termination response with session summary """ ... # ======================================================================== # Non-SI Operations - Return 'not supported' # ======================================================================== async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_products is not supported by Sponsored Intelligence agents. " "This agent handles conversational AI sponsorship, not product catalog operations." ) async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_creative_formats is not supported by Sponsored Intelligence agents." ) async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("sync_creatives is not supported by Sponsored Intelligence agents.") async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("list_creatives is not supported by Sponsored Intelligence agents.") async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("build_creative is not supported by Sponsored Intelligence agents.") async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("preview_creative is not supported by Sponsored Intelligence agents.") async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_creative_delivery is not supported by Sponsored Intelligence agents." ) async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_media_buy is not supported by Sponsored Intelligence agents. " "SI sessions are initiated via si_initiate_session, not media buys." ) async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("update_media_buy is not supported by Sponsored Intelligence agents.") async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_media_buy_delivery is not supported by Sponsored Intelligence agents." ) async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("get_signals is not supported by Sponsored Intelligence agents.") async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("activate_signal is not supported by Sponsored Intelligence agents.") async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "provide_performance_feedback is not supported by Sponsored Intelligence agents." ) async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_accounts is not supported by Sponsored Intelligence agents." ) async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "sync_accounts is not supported by Sponsored Intelligence agents." ) async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("log_event is not supported by Sponsored Intelligence agents.") async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "sync_event_sources is not supported by Sponsored Intelligence agents." ) # ======================================================================== # V3 Content Standards - Not supported # ======================================================================== async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_content_standards is not supported by Sponsored Intelligence agents. " "Use a Content Standards agent for content calibration." ) async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_content_standards is not supported by Sponsored Intelligence agents." ) async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_content_standards is not supported by Sponsored Intelligence agents." ) async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "update_content_standards is not supported by Sponsored Intelligence agents." ) async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("calibrate_content is not supported by Sponsored Intelligence agents.") async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "validate_content_delivery is not supported by Sponsored Intelligence agents." ) async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_media_buy_artifacts is not supported by Sponsored Intelligence agents." ) # ======================================================================== # V3 Governance (Property Lists) - Not supported # ======================================================================== async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_property_list is not supported by Sponsored Intelligence agents. " "Use a Governance agent for property list operations." ) async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("get_property_list is not supported by Sponsored Intelligence agents.") async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_property_lists is not supported by Sponsored Intelligence agents." ) async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "update_property_list is not supported by Sponsored Intelligence agents." ) async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "delete_property_list is not supported by Sponsored Intelligence agents." )Handler for Sponsored Intelligence protocol.
Subclass this to implement a Sponsored Intelligence agent. All SI operations must be implemented via the handle_* methods. The public methods (si_get_offering, etc.) handle validation and error handling automatically.
Non-SI operations (get_products, create_media_buy, content standards, etc.) return 'not supported'.
Example
class MySIHandler(SponsoredIntelligenceHandler): async def handle_si_get_offering( self, request: SiGetOfferingRequest, context: ToolContext | None = None ) -> SiGetOfferingResponse: # Your implementation return SiGetOfferingResponse(…)
Ancestors
- ADCPHandler
- abc.ABC
Methods
async def activate_signal(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def activate_signal( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("activate_signal is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def build_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def build_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("build_creative is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def calibrate_content(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def calibrate_content( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("calibrate_content is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def create_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_content_standards is not supported by Sponsored Intelligence agents. " "Use a Content Standards agent for content calibration." )Not supported by Sponsored Intelligence agents.
async def create_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_media_buy is not supported by Sponsored Intelligence agents. " "SI sessions are initiated via si_initiate_session, not media buys." )Not supported by Sponsored Intelligence agents.
async def create_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def create_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "create_property_list is not supported by Sponsored Intelligence agents. " "Use a Governance agent for property list operations." )Not supported by Sponsored Intelligence agents.
async def delete_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def delete_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "delete_property_list is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def get_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_content_standards is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def get_creative_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_creative_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_creative_delivery is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def get_media_buy_artifacts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_media_buy_artifacts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_media_buy_artifacts is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def get_media_buy_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_media_buy_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_media_buy_delivery is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def get_products(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_products( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "get_products is not supported by Sponsored Intelligence agents. " "This agent handles conversational AI sponsorship, not product catalog operations." )Not supported by Sponsored Intelligence agents.
async def get_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("get_property_list is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def get_signals(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def get_signals( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("get_signals is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def handle_si_get_offering(self,
request: SiGetOfferingRequest,
context: ToolContext | None = None) ‑> SiGetOfferingResponse-
Expand source code
@abstractmethod async def handle_si_get_offering( self, request: SiGetOfferingRequest, context: ToolContext | None = None, ) -> SiGetOfferingResponse: """Handle get offering request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated SI offering request context: Optional tool context Returns: SI offering response with capabilities and pricing """ ...Handle get offering request.
Must be implemented by Sponsored Intelligence agents.
Args
request- Validated SI offering request
context- Optional tool context
Returns
SI offering response with capabilities and pricing
async def handle_si_initiate_session(self,
request: SiInitiateSessionRequest,
context: ToolContext | None = None) ‑> SiInitiateSessionResponse-
Expand source code
@abstractmethod async def handle_si_initiate_session( self, request: SiInitiateSessionRequest, context: ToolContext | None = None, ) -> SiInitiateSessionResponse: """Handle initiate session request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated session initiation request context: Optional tool context Returns: Session initiation response with session ID """ ...Handle initiate session request.
Must be implemented by Sponsored Intelligence agents.
Args
request- Validated session initiation request
context- Optional tool context
Returns
Session initiation response with session ID
async def handle_si_send_message(self,
request: SiSendMessageRequest,
context: ToolContext | None = None) ‑> SiSendMessageResponse-
Expand source code
@abstractmethod async def handle_si_send_message( self, request: SiSendMessageRequest, context: ToolContext | None = None, ) -> SiSendMessageResponse: """Handle send message request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated message request with session ID and content context: Optional tool context Returns: Message response with AI-generated content """ ...Handle send message request.
Must be implemented by Sponsored Intelligence agents.
Args
request- Validated message request with session ID and content
context- Optional tool context
Returns
Message response with AI-generated content
async def handle_si_terminate_session(self,
request: SiTerminateSessionRequest,
context: ToolContext | None = None) ‑> SiTerminateSessionResponse-
Expand source code
@abstractmethod async def handle_si_terminate_session( self, request: SiTerminateSessionRequest, context: ToolContext | None = None, ) -> SiTerminateSessionResponse: """Handle terminate session request. Must be implemented by Sponsored Intelligence agents. Args: request: Validated session termination request context: Optional tool context Returns: Termination response with session summary """ ...Handle terminate session request.
Must be implemented by Sponsored Intelligence agents.
Args
request- Validated session termination request
context- Optional tool context
Returns
Termination response with session summary
async def list_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_accounts is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def list_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_content_standards is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def list_creative_formats(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creative_formats( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_creative_formats is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def list_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("list_creatives is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def list_property_lists(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def list_property_lists( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "list_property_lists is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def log_event(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def log_event( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("log_event is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def preview_creative(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def preview_creative( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("preview_creative is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def provide_performance_feedback(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def provide_performance_feedback( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "provide_performance_feedback is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def si_get_offering(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> SiGetOfferingResponse | NotImplementedResponse-
Expand source code
async def si_get_offering( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiGetOfferingResponse | NotImplementedResponse: """Get sponsored intelligence offering. Validates params and delegates to handle_si_get_offering. Args: params: Request parameters as dict context: Optional tool context Returns: SI offering response with capabilities and pricing, or error response """ try: request = SiGetOfferingRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_get_offering(request, context)Get sponsored intelligence offering.
Validates params and delegates to handle_si_get_offering.
Args
params- Request parameters as dict
context- Optional tool context
Returns
SI offering response with capabilities and pricing, or error response
async def si_initiate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> SiInitiateSessionResponse | NotImplementedResponse-
Expand source code
async def si_initiate_session( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiInitiateSessionResponse | NotImplementedResponse: """Initiate sponsored intelligence session. Validates params and delegates to handle_si_initiate_session. Args: params: Request parameters as dict context: Optional tool context Returns: Session initiation response with session ID, or error response """ try: request = SiInitiateSessionRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_initiate_session(request, context)Initiate sponsored intelligence session.
Validates params and delegates to handle_si_initiate_session.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Session initiation response with session ID, or error response
async def si_send_message(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> SiSendMessageResponse | NotImplementedResponse-
Expand source code
async def si_send_message( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiSendMessageResponse | NotImplementedResponse: """Send message in sponsored intelligence session. Validates params and delegates to handle_si_send_message. Args: params: Request parameters as dict context: Optional tool context Returns: Message response with AI-generated content, or error response """ try: request = SiSendMessageRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_send_message(request, context)Send message in sponsored intelligence session.
Validates params and delegates to handle_si_send_message.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Message response with AI-generated content, or error response
async def si_terminate_session(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> SiTerminateSessionResponse | NotImplementedResponse-
Expand source code
async def si_terminate_session( self, params: dict[str, Any], context: ToolContext | None = None, ) -> SiTerminateSessionResponse | NotImplementedResponse: """Terminate sponsored intelligence session. Validates params and delegates to handle_si_terminate_session. Args: params: Request parameters as dict context: Optional tool context Returns: Termination response with session summary, or error response """ try: request = SiTerminateSessionRequest.model_validate(params) except ValidationError as e: return NotImplementedResponse( supported=False, reason=f"Invalid request: {e}", error=Error(code="VALIDATION_ERROR", message=str(e)), ) return await self.handle_si_terminate_session(request, context)Terminate sponsored intelligence session.
Validates params and delegates to handle_si_terminate_session.
Args
params- Request parameters as dict
context- Optional tool context
Returns
Termination response with session summary, or error response
async def sync_accounts(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_accounts( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "sync_accounts is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def sync_creatives(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_creatives( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("sync_creatives is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def sync_event_sources(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def sync_event_sources( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "sync_event_sources is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def update_content_standards(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_content_standards( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "update_content_standards is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def update_media_buy(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_media_buy( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported("update_media_buy is not supported by Sponsored Intelligence agents.")Not supported by Sponsored Intelligence agents.
async def update_property_list(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def update_property_list( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "update_property_list is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
async def validate_content_delivery(self,
params: dict[str, Any],
context: ToolContext | None = None) ‑> NotImplementedResponse-
Expand source code
async def validate_content_delivery( self, params: dict[str, Any], context: ToolContext | None = None ) -> NotImplementedResponse: """Not supported by Sponsored Intelligence agents.""" return not_supported( "validate_content_delivery is not supported by Sponsored Intelligence agents." )Not supported by Sponsored Intelligence agents.
Inherited members
class ToolContext (request_id: str | None = None,
caller_identity: str | None = None,
metadata: dict[str, Any] = <factory>)-
Expand source code
@dataclass class ToolContext: """Context passed to tool handlers. Contains metadata about the current request that may be useful for logging, authorization, or other cross-cutting concerns. """ request_id: str | None = None caller_identity: str | None = None metadata: dict[str, Any] = field(default_factory=dict)Context passed to tool handlers.
Contains metadata about the current request that may be useful for logging, authorization, or other cross-cutting concerns.
Instance variables
var caller_identity : str | Nonevar metadata : dict[str, typing.Any]var request_id : str | None