Credit system

@pydantic.with_config(ConfigDict(alias_generator=to_camel))
class AgentExecutionCost(TypedDict):
    """Defines the credit cost for executing an agent.
    
    Sets pricing and access control for agent services.
    """
    
    agent_id: Required[str]
    """The unique identifier of the agent."""
    
    agent_name: Required[str]
    """The name of the agent."""
    
    credits_per_request: Required[int]
    """The number of credits required to execute the agent."""
    
    creator_did: Required[str]
    """The DID of the creator of the agent."""
    
    minimum_trust_level: Required[TrustLevel]
    """The minimum trust level required to execute the agent."""

{
  "agentId": "agent-analytics-pro",
  "agentName": "Advanced Analytics Agent",
  "creditsPerRequest": 100,
  "creatorDid": "did:example:creator123",
  "minimumTrustLevel": "analyst"
}

@pydantic.with_config(ConfigDict(alias_generator=to_camel))
class ExecutionRequest(TypedDict):
    """Represents a request to execute an agent with credit verification.
    
    Initiates agent execution with credit pre-authorization.
    """
    
    request_id: Required[UUID]
    """The unique identifier of the request."""
    
    executor_did: Required[str]
    """The DID of the executor."""
    
    agent_id: Required[str]
    """The unique identifier of the agent."""
    
    input_data: Required[str]
    """The input data for the agent execution."""
    
    estimated_credits: Required[int]
    """The estimated number of credits required for the execution."""
    
    trust_level: Required[TrustLevel]
    """The trust level of the executor."""

{
  "requestId": "550e8400-e29b-41d4-a716-446655440000",
  "executorDid": "did:example:user456",
  "agentId": "agent-analytics-pro",
  "inputData": "Analyze Q4 sales data for trends and anomalies",
  "estimatedCredits": 100,
  "trustLevel": "analyst"
}

@pydantic.with_config(ConfigDict(alias_generator=to_camel))
class ExecutionResponse(TypedDict):
    """Represents the response from an agent execution with credit deduction.
    
    Returns execution results and credit transaction details.
    """
    
    request_id: Required[UUID]
    """The unique identifier of the request."""
    
    execution_id: Required[UUID]
    """The unique identifier of the execution."""
    
    success: Required[bool]
    """Indicates whether the execution was successful."""
    
    credits_charged: Required[int]
    """The number of credits charged for the execution."""
    
    transaction_id: NotRequired[UUID]
    """The unique identifier of the transaction."""
    
    output_data: NotRequired[str]
    """The output data from the agent execution."""
    
    error_message: NotRequired[str]
    """The error message if the execution failed."""
    
    execution_time: Required[str]
    """The time the execution was completed."""

{
  "requestId": "550e8400-e29b-41d4-a716-446655440000",
  "executionId": "660e8400-e29b-41d4-a716-446655440001",
  "success": true,
  "creditsCharged": 95,
  "transactionId": "770e8400-e29b-41d4-a716-446655440002",
  "outputData": "Analysis complete: Q4 sales increased 23% with peak in December...",
  "executionTime": "2025-10-31T23:45:00Z"
}