autogen_agentchat.task#

async autogen_agentchat.task.Console(stream: AsyncGenerator[TextMessage | MultiModalMessage | StopMessage | HandoffMessage | ToolCallMessage | ToolCallResultMessage | TaskResult, None]) None[source]#

Consume the stream from run_stream() and print the messages to the console.

class autogen_agentchat.task.HandoffTermination(target: str)[source]#

Bases: TerminationCondition

Terminate the conversation if a HandoffMessage with the given target is received.

Parameters:

target (str) – The target of the handoff message.

async reset() None[source]#

Reset the termination condition.

property terminated: bool#

Check if the termination condition has been reached

class autogen_agentchat.task.MaxMessageTermination(max_messages: int)[source]#

Bases: TerminationCondition

Terminate the conversation after a maximum number of messages have been exchanged.

Parameters:

max_messages – The maximum number of messages allowed in the conversation.

async reset() None[source]#

Reset the termination condition.

property terminated: bool#

Check if the termination condition has been reached

class autogen_agentchat.task.StopMessageTermination[source]#

Bases: TerminationCondition

Terminate the conversation if a StopMessage is received.

async reset() None[source]#

Reset the termination condition.

property terminated: bool#

Check if the termination condition has been reached

class autogen_agentchat.task.TextMentionTermination(text: str)[source]#

Bases: TerminationCondition

Terminate the conversation if a specific text is mentioned.

Parameters:

text – The text to look for in the messages.

async reset() None[source]#

Reset the termination condition.

property terminated: bool#

Check if the termination condition has been reached

class autogen_agentchat.task.TokenUsageTermination(max_total_token: int | None = None, max_prompt_token: int | None = None, max_completion_token: int | None = None)[source]#

Bases: TerminationCondition

Terminate the conversation if a token usage limit is reached.

Parameters:
  • max_total_token – The maximum total number of tokens allowed in the conversation.

  • max_prompt_token – The maximum number of prompt tokens allowed in the conversation.

  • max_completion_token – The maximum number of completion tokens allowed in the conversation.

Raises:

ValueError – If none of max_total_token, max_prompt_token, or max_completion_token is provided.

async reset() None[source]#

Reset the termination condition.

property terminated: bool#

Check if the termination condition has been reached