Skip to main content

Agent Building Blocks for Meshagent

Project description

MeshAgent Agents

The meshagent.agents package provides higher-level agent classes that orchestrate tools and tasks. The primary agents you will build will use the TaskRunner, Worker, and ChatBot agent types. These agents extend the base Agent and SingleRoomAgent classes which setup the fundamentals for working with Agents in MeshAgent Rooms.

Note that agents use LLMAdapters and ToolResponseAdapters to translate between language model calls and tool executions. They also use the ServiceHost to run.

Agent

The Agent base class handles static info such as the agent name, description, and requirements. This class is not used directly, but is the foundation for specialized agents.

SingleRoomAgent

The SingleRoomAgentextends the Agent class, connects to a RoomClient, and installs any declared schemas or toolkits when the agent starts up. All other MeshAgent Agent types extend the SingleRoomAgent class with additional functionality.

TaskRunner

The TaskRunner agent is useful when you want to invoke an agent with a well-defined JSON schemas for input and output. This is important for running agents-as-tools or running remote tasks. Often you will define a TaskRunner and pass it to a ChatBot or VoiceBot as a tool for that agent to use.

Worker

The Worker is a queue-based SingleRoomAgent that processes queued messages with an LLM and optional tools. This is particularly helpful for running asynchronous jobs. With the Worker agent you can create a set of tasks that need to run in a Room and the Worker will execute all of the tasks in the queue.

ChatBot

The ChatBot is a conversational agent derived from the SingleRoomAgent. It wires an LLMAdapter, optoinal tools, and manages chat threads for each user. This means multiple users can be in the same room interacting with a chat agent, but each user will have private messages with the agent. Check out the Build and Deploy a Chat Agent example to learn how to create a simple Chat Agent without tools then add built-in MeshAgent tools and custom tools to the agent.


Learn more about MeshAgent on our website or check out the docs for additional examples!

Website: www.meshagent.com

Documentation: docs.meshagent.com


Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

meshagent_agents-0.0.38.tar.gz (36.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

meshagent_agents-0.0.38-py3-none-any.whl (44.6 kB view details)

Uploaded Python 3

File details

Details for the file meshagent_agents-0.0.38.tar.gz.

File metadata

  • Download URL: meshagent_agents-0.0.38.tar.gz
  • Upload date:
  • Size: 36.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for meshagent_agents-0.0.38.tar.gz
Algorithm Hash digest
SHA256 b9bb075bd0d6cbaa1fdf266ad26cbe880b03b965d641f792134fef127d3ed5c9
MD5 c6ccdcf294a4b78b8abcb80d2acf306e
BLAKE2b-256 30278821e7c27440506e51546b5e73f132ee3ea3de1a6b927ce178cc5e9213e6

See more details on using hashes here.

File details

Details for the file meshagent_agents-0.0.38-py3-none-any.whl.

File metadata

File hashes

Hashes for meshagent_agents-0.0.38-py3-none-any.whl
Algorithm Hash digest
SHA256 576fbae3c965803512dc9cd4db2a0fca10d8a4db7fe6f62a305703caff963b51
MD5 99100680876971115327394d838288d0
BLAKE2b-256 024f6840f402765426c36eab1971604d3e11b80468fd338477a8b2e9de80b077

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page