AgentContext#

class council.contexts.AgentContext(store: AgentContextStore, execution_context: ExecutionContext, budget: Budget)[source]#

Bases: ContextBase

the execution context given to an Agent

property budget: Budget#

the budget

property chains: Iterable[MessageCollection]#

provides read-only access to the messages for each chain executed in the current iteration.

property chat_history: ChatHistory#

the chat history

static empty(budget: Budget | None = None) → AgentContext[source]#

creates a new instance with no data

Parameters:

budget (Budget) – Optional, budget allocated for the agent execution

property evaluation: Sequence[ScoredChatMessage]#

provides read-only access to the evaluation of the current iteration

execution_log_to_dict() → Dict[str, Any]#

returns the execution log as a dictionary

execution_log_to_json() → str#

returns the execution as a JSON string

static from_chat_history(chat_history: ChatHistory, budget: Budget | None = None) → AgentContext[source]#

creates a new instance from a ChatHistory

Parameters:

  • chat_history (ChatHistory) – The chat history to initialize the new agent context

  • budget (Budget) – Optional, budget allocated for the agent execution

static from_user_message(message: str, budget: Budget | None = None) → AgentContext[source]#

creates a new instance from a user message. The ChatHistory contains only the given message

Parameters:

  • message – the user message to start with

  • budget (Budget) – Optional, budget allocated for the agent execution

property iteration_count: int#

the number of iteration for this execution

property log_entry: ExecutionLogEntry#

the log entry

new_agent_context_for(monitored: Monitored) → AgentContext[source]#

creates a new instance for the given object, adjusting the execution context appropriately

Parameters:

monitored – the object to create a new context for

new_agent_context_for_execution_unit(name: str) → AgentContext[source]#

creates a new instance, adjusting the execution context for the given name

Parameters:

name – name used in the ExecutionContext

new_agent_context_for_new_iteration() → AgentContext[source]#

creates a new instance, adjusting the execution context appropriately

new_iteration() → None[source]#

creates a new execution iteration

new_log_entry(monitored: Monitored) → ExecutionLogEntry#

creates a new log entry from this context

set_evaluation(messages: Iterable[ScoredChatMessage]) → None[source]#

sets the evaluation result for the current execution iteration

Parameters:

messages (Iterable[ScoredChatMessage]) – the result of the evaluation