a_initiate_group_chat - AG2

a_initiate_group_chat

`autogen.agentchat.a_initiate_group_chat` async #

a_initiate_group_chat(pattern, messages, max_rounds=20)

Initialize and run a group chat using a pattern for configuration, asynchronously.

PARAMETER	DESCRIPTION
`pattern`	Pattern object that encapsulates the chat configuration. TYPE: `Pattern`
`messages`	Initial message(s). TYPE: `Union[list[dict[str, Any]], str]`
`max_rounds`	Maximum number of conversation rounds. TYPE: `int` DEFAULT: `20`

RETURNS	DESCRIPTION
`ChatResult`	Conversations chat history. TYPE: `ChatResult`
`ContextVariables`	Updated Context variables. TYPE: `ContextVariables`
`Agent`	"ConversableAgent": Last speaker.

Source code in autogen/agentchat/group/multi_agent_chat.py

 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151  @export_module("autogen.agentchat") async def a_initiate_group_chat( pattern: "Pattern", messages: Union[list[dict[str, Any]], str], max_rounds: int = 20, ) -> tuple[ChatResult, ContextVariables, "Agent"]: """Initialize and run a group chat using a pattern for configuration, asynchronously. Args: pattern: Pattern object that encapsulates the chat configuration. messages: Initial message(s). max_rounds: Maximum number of conversation rounds. Returns: ChatResult: Conversations chat history. ContextVariables: Updated Context variables. "ConversableAgent": Last speaker. """ # Let the pattern prepare the group chat and all its components # Only passing the necessary parameters that aren't already in the pattern ( _, # agents, _, # wrapped_agents, _, # user_agent, context_variables, _, # initial_agent, _, # group_after_work, _, # tool_execution, _, # groupchat, manager, processed_messages, last_agent, _, # group_agent_names, _, # temp_user_list, ) = pattern.prepare_group_chat( max_rounds=max_rounds, messages=messages, ) # Start or resume the conversation if len(processed_messages) > 1: last_agent, last_message = await manager.a_resume(messages=processed_messages) clear_history = False else: last_message = processed_messages[0] clear_history = True if last_agent is None: raise ValueError("No agent selected to start the conversation") chat_result = await last_agent.a_initiate_chat( manager, message=last_message, # type: ignore[arg-type] clear_history=clear_history, summary_method=pattern.summary_method, ) cleanup_temp_user_messages(chat_result) return chat_result, context_variables, manager.last_speaker


`<br> 92<br> 93<br> 94<br> 95<br> 96<br> 97<br> 98<br> 99<br>100<br>101<br>102<br>103<br>104<br>105<br>106<br>107<br>108<br>109<br>110<br>111<br>112<br>113<br>114<br>115<br>116<br>117<br>118<br>119<br>120<br>121<br>122<br>123<br>124<br>125<br>126<br>127<br>128<br>129<br>130<br>131<br>132<br>133<br>134<br>135<br>136<br>137<br>138<br>139<br>140<br>141<br>142<br>143<br>144<br>145<br>146<br>147<br>148<br>149<br>150<br>151<br>`	<br>@export_module("autogen.agentchat")<br>async def a_initiate_group_chat(<br> pattern: "Pattern",<br> messages: Union[list[dict[str, Any]], str],<br> max_rounds: int = 20,<br>) -> tuple[ChatResult, ContextVariables, "Agent"]:<br> """Initialize and run a group chat using a pattern for configuration, asynchronously.<br> Args:<br> pattern: Pattern object that encapsulates the chat configuration.<br> messages: Initial message(s).<br> max_rounds: Maximum number of conversation rounds.<br> Returns:<br> ChatResult: Conversations chat history.<br> ContextVariables: Updated Context variables.<br> "ConversableAgent": Last speaker.<br> """<br> # Let the pattern prepare the group chat and all its components<br> # Only passing the necessary parameters that aren't already in the pattern<br> (<br> _, # agents,<br> _, # wrapped_agents,<br> _, # user_agent,<br> context_variables,<br> _, # initial_agent,<br> _, # group_after_work,<br> _, # tool_execution,<br> _, # groupchat,<br> manager,<br> processed_messages,<br> last_agent,<br> _, # group_agent_names,<br> _, # temp_user_list,<br> ) = pattern.prepare_group_chat(<br> max_rounds=max_rounds,<br> messages=messages,<br> )<br> # Start or resume the conversation<br> if len(processed_messages) > 1:<br> last_agent, last_message = await manager.a_resume(messages=processed_messages)<br> clear_history = False<br> else:<br> last_message = processed_messages[0]<br> clear_history = True<br> if last_agent is None:<br> raise ValueError("No agent selected to start the conversation")<br> chat_result = await last_agent.a_initiate_chat(<br> manager,<br> message=last_message, # type: ignore[arg-type]<br> clear_history=clear_history,<br> summary_method=pattern.summary_method,<br> )<br> cleanup_temp_user_messages(chat_result)<br> return chat_result, context_variables, manager.last_speaker<br>

a_initiate_group_chat

autogen.agentchat.a_initiate_group_chat async #

`autogen.agentchat.a_initiate_group_chat` async #