Skip to main content

Agent Building Blocks for Meshagent

Project description

Meshagent

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 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-0.13.0.tar.gz (45.8 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-0.13.0-py3-none-any.whl (54.6 kB view details)

Uploaded Python 3

File details

Details for the file meshagent_agents-0.13.0.tar.gz.

File metadata

  • Download URL: meshagent_agents-0.13.0.tar.gz
  • Upload date:
  • Size: 45.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for meshagent_agents-0.13.0.tar.gz
Algorithm Hash digest
SHA256 6119266fe8dfc57f826d3e40ca979aedf3cc6685674c92fedf793df6bcb1c2a3
MD5 27b81af2df99d602eaf7b8c9a5b46919
BLAKE2b-256 6dab4dd79a9acc0f7b4d60ec8fb9328107ae8b37526681e459cd32977586dfbe

See more details on using hashes here.

File details

Details for the file meshagent_agents-0.13.0-py3-none-any.whl.

File metadata

File hashes

Hashes for meshagent_agents-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3d41863f56511ab765b2caf0f197aca43fe39e59eccd747f9a5524c86a642e30
MD5 8260973e5993d3805c298c50f2f9add8
BLAKE2b-256 e731fae98c7fdff25809b8cae117ed99fd0ce336008a3eca1c00e937d2c07ac0

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