autogen_core.model_context#

class BufferedChatCompletionContext(buffer_size: int, initial_messages: List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]] | None = None)[source]#

Bases: ChatCompletionContext, Component[BufferedChatCompletionContextConfig]

A buffered chat completion context that keeps a view of the last n messages, where n is the buffer size. The buffer size is set at initialization.

Parameters:

buffer_size (int) – The size of the buffer.
initial_messages (List[LLMMessage] | None) – The initial messages.

classmethod _from_config(config: BufferedChatCompletionContextConfig) → Self[source]#

Create a new instance of the component from a configuration object.

Parameters:: config (T) – The configuration object.
Returns:: Self – The new instance of the component.

_to_config() → BufferedChatCompletionContextConfig[source]#

Dump the configuration that would be requite to create a new instance of a component matching the configuration of this instance.

Returns:: T – The configuration of the component.

component_config_schema#: alias of BufferedChatCompletionContextConfig

component_provider_override: ClassVar[str | None] = 'autogen_core.model_context.BufferedChatCompletionContext'#: Override the provider string for the component. This should be used to prevent internal module names being a part of the module name.

async get_messages() → List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]#: Get at most buffer_size recent messages.

class ChatCompletionContext(initial_messages: List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]] | None = None)[source]#

Bases: ABC, ComponentBase[BaseModel]

An abstract base class for defining the interface of a chat completion context. A chat completion context lets agents store and retrieve LLM messages. It can be implemented with different recall strategies.

Parameters:: initial_messages (List[LLMMessage] | None) – The initial messages.

async add_message(message: Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]) → None[source]#: Add a message to the context.

async clear() → None[source]#: Clear the context.

component_type: ClassVar[ComponentType] = 'chat_completion_context'#: The logical type of the component.

abstract async get_messages() → List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]#

async load_state(state: Mapping[str, Any]) → None[source]#

async save_state() → Mapping[str, Any][source]#

pydantic model ChatCompletionContextState[source]#

Bases: BaseModel

Show JSON schema

{
   "title": "ChatCompletionContextState",
   "type": "object",
   "properties": {
      "messages": {
         "items": {
            "discriminator": {
               "mapping": {
                  "AssistantMessage": "#/$defs/AssistantMessage",
                  "FunctionExecutionResultMessage": "#/$defs/FunctionExecutionResultMessage",
                  "SystemMessage": "#/$defs/SystemMessage",
                  "UserMessage": "#/$defs/UserMessage"
               },
               "propertyName": "type"
            },
            "oneOf": [
               {
                  "$ref": "#/$defs/SystemMessage"
               },
               {
                  "$ref": "#/$defs/UserMessage"
               },
               {
                  "$ref": "#/$defs/AssistantMessage"
               },
               {
                  "$ref": "#/$defs/FunctionExecutionResultMessage"
               }
            ]
         },
         "title": "Messages",
         "type": "array"
      }
   },
   "$defs": {
      "AssistantMessage": {
         "properties": {
            "content": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "items": {
                        "$ref": "#/$defs/FunctionCall"
                     },
                     "type": "array"
                  }
               ],
               "title": "Content"
            },
            "source": {
               "title": "Source",
               "type": "string"
            },
            "type": {
               "const": "AssistantMessage",
               "default": "AssistantMessage",
               "title": "Type",
               "type": "string"
            }
         },
         "required": [
            "content",
            "source"
         ],
         "title": "AssistantMessage",
         "type": "object"
      },
      "FunctionCall": {
         "properties": {
            "id": {
               "title": "Id",
               "type": "string"
            },
            "arguments": {
               "title": "Arguments",
               "type": "string"
            },
            "name": {
               "title": "Name",
               "type": "string"
            }
         },
         "required": [
            "id",
            "arguments",
            "name"
         ],
         "title": "FunctionCall",
         "type": "object"
      },
      "FunctionExecutionResult": {
         "properties": {
            "content": {
               "title": "Content",
               "type": "string"
            },
            "call_id": {
               "title": "Call Id",
               "type": "string"
            }
         },
         "required": [
            "content",
            "call_id"
         ],
         "title": "FunctionExecutionResult",
         "type": "object"
      },
      "FunctionExecutionResultMessage": {
         "properties": {
            "content": {
               "items": {
                  "$ref": "#/$defs/FunctionExecutionResult"
               },
               "title": "Content",
               "type": "array"
            },
            "type": {
               "const": "FunctionExecutionResultMessage",
               "default": "FunctionExecutionResultMessage",
               "title": "Type",
               "type": "string"
            }
         },
         "required": [
            "content"
         ],
         "title": "FunctionExecutionResultMessage",
         "type": "object"
      },
      "SystemMessage": {
         "properties": {
            "content": {
               "title": "Content",
               "type": "string"
            },
            "type": {
               "const": "SystemMessage",
               "default": "SystemMessage",
               "title": "Type",
               "type": "string"
            }
         },
         "required": [
            "content"
         ],
         "title": "SystemMessage",
         "type": "object"
      },
      "UserMessage": {
         "properties": {
            "content": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "items": {
                        "anyOf": [
                           {
                              "type": "string"
                           },
                           {}
                        ]
                     },
                     "type": "array"
                  }
               ],
               "title": "Content"
            },
            "source": {
               "title": "Source",
               "type": "string"
            },
            "type": {
               "const": "UserMessage",
               "default": "UserMessage",
               "title": "Type",
               "type": "string"
            }
         },
         "required": [
            "content",
            "source"
         ],
         "title": "UserMessage",
         "type": "object"
      }
   }
}

Fields:

messages (List[autogen_core.models._types.SystemMessage | autogen_core.models._types.UserMessage | autogen_core.models._types.AssistantMessage | autogen_core.models._types.FunctionExecutionResultMessage])

field messages: List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]] [Optional]#

class HeadAndTailChatCompletionContext(head_size: int, tail_size: int, initial_messages: List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]] | None = None)[source]#

Bases: ChatCompletionContext, Component[HeadAndTailChatCompletionContextConfig]

A chat completion context that keeps a view of the first n and last m messages, where n is the head size and m is the tail size. The head and tail sizes are set at initialization.

Parameters:

head_size (int) – The size of the head.
tail_size (int) – The size of the tail.
initial_messages (List[LLMMessage] | None) – The initial messages.

classmethod _from_config(config: HeadAndTailChatCompletionContextConfig) → Self[source]#

Create a new instance of the component from a configuration object.

Parameters:: config (T) – The configuration object.
Returns:: Self – The new instance of the component.

_to_config() → HeadAndTailChatCompletionContextConfig[source]#

Dump the configuration that would be requite to create a new instance of a component matching the configuration of this instance.

Returns:: T – The configuration of the component.

component_config_schema#: alias of HeadAndTailChatCompletionContextConfig

component_provider_override: ClassVar[str | None] = 'autogen_core.model_context.HeadAndTailChatCompletionContext'#: Override the provider string for the component. This should be used to prevent internal module names being a part of the module name.

async get_messages() → List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]#: Get at most head_size recent messages and tail_size oldest messages.

class UnboundedChatCompletionContext(initial_messages: List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]] | None = None)[source]#

Bases: ChatCompletionContext, Component[UnboundedChatCompletionContextConfig]

An unbounded chat completion context that keeps a view of the all the messages.

classmethod _from_config(config: UnboundedChatCompletionContextConfig) → Self[source]#

Create a new instance of the component from a configuration object.

Parameters:: config (T) – The configuration object.
Returns:: Self – The new instance of the component.

_to_config() → UnboundedChatCompletionContextConfig[source]#

Dump the configuration that would be requite to create a new instance of a component matching the configuration of this instance.

Returns:: T – The configuration of the component.

component_config_schema#: alias of UnboundedChatCompletionContextConfig

component_provider_override: ClassVar[str | None] = 'autogen_core.model_context.UnboundedChatCompletionContext'#: Override the provider string for the component. This should be used to prevent internal module names being a part of the module name.

async get_messages() → List[Annotated[SystemMessage | UserMessage | AssistantMessage | FunctionExecutionResultMessage, FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]#: Get at most buffer_size recent messages.