AnthropicLLM#

classDiagram LLMBase <|-- AnthropicLLM Monitorable <|-- LLMBase
class council.llm.AnthropicLLM(config: AnthropicLLMConfiguration, name: str | None = None)[source]#

Bases: LLMBase

Implementation for an Anthropic LLM.

Notes

More details: https://docs.anthropic.com/claude/docs and https://docs.anthropic.com/claude/reference/complete_post

__init__(config: AnthropicLLMConfiguration, name: str | None = None) → None[source]#

Initialize a new instance.

Parameters:

config (AnthropicLLMConfiguration) – configuration for the instance

static from_env() → AnthropicLLM[source]#

Helper function that create a new instance by getting the configuration from environment variables.

Returns:

AnthropicLLM

post_chat_request(context: LLMContext, messages: Sequence[LLMMessage], **kwargs: Any) → LLMResult#

Sends a chat request to the language model.

Parameters:

  • context (LLMContext) – a context to track execution metrics

  • messages (Sequence[LLMMessage]) – A list of LLMMessage objects representing the chat messages.

  • **kwargs – Additional keyword arguments for the chat request.

Returns:

The response from the language model.

Return type:

LLMResult

Raises:

  • LLMTokenLimitException – If messages exceed the maximum number of tokens.

  • Exception – If an error occurs during the execution of the chat request.

render_as_dict(include_children: bool = True) → Dict[str, Any]#

returns the graph of operation as a dictionary

render_as_json() → str#

returns the graph of operation as a JSON string