Action returned by AutoGPTOutputParser.
autonomous_agents.autogpt.output_parser.AutoGPTOutputParser
Output parser for AutoGPT.
autonomous_agents.autogpt.output_parser.BaseAutoGPTOutputParser
Base Output parser for AutoGPT.
autonomous_agents.autogpt.agent.AutoGPT(...)
Agent class for interacting with Auto-GPT.
autonomous_agents.autogpt.prompt.AutoGPTPrompt
Prompt for AutoGPT.
Functions¶
autonomous_agents.autogpt.output_parser.preprocess_json_input(...)
Preprocesses a string to be parsed as json.
autonomous_agents.autogpt.prompt_generator.get_prompt(tools)
Generates a prompt string.
autonomous_agents.hugginggpt.repsonse_generator.load_response_generator(llm)
autonomous_agents.hugginggpt.task_planner.load_chat_planner(llm)
langchain_experimental.cpal¶
Classes¶
cpal.constants.Constant(value[, names, ...])
Enum for constants used in the CPAL.
langchain_experimental.generative_agents¶
Generative Agents primitives.
Classes¶
generative_agents.memory.GenerativeAgentMemory
Memory for the generative agent.
generative_agents.generative_agent.GenerativeAgent
An Agent as a character with memory and innate characteristics.
langchain_experimental.llms¶
Experimental LLM wrappers.
Classes¶
llms.rellm_decoder.RELLM
RELLM wrapped LLM using HuggingFace Pipeline API.
llms.anthropic_functions.AnthropicFunctions
Create a new model by parsing and validating input data from keyword arguments.
llms.anthropic_functions.TagParser()
A heavy-handed solution, but it's fast for prototyping.
llms.llamaapi.ChatLlamaAPI
Create a new model by parsing and validating input data from keyword arguments.
llms.jsonformer_decoder.JsonFormer