AI Worker worker.md

langroid

Harness LLMs with Multi-Agent Programming

Agent framework 3,917 stars Python MIT Worker-compatible

Source#

  • Repository: langroid/langroid
  • Last source update: 2026-03-01
  • Last verified: 2026-03-01

Tags#

agentsaichatgptfunction-callinggptgpt-4

Integration notes#

Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: langroid-repo-derived-worker
name: langroid Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/langroid/
source_repository: https://github.com/langroid/langroid
repository_default_branch: main
repository_language: Python
repository_license: MIT
repository_updated_at: 2026-03-01
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-03-01
tags:
  - agents
  - ai
  - chatgpt
  - function-calling
  - gpt
  - gpt-4
---

# langroid Repo-Derived Worker

## Repo-derived summary
- Registry summary: Harness LLMs with Multi-Agent Programming
- Repository description: Harness LLMs with Multi-Agent Programming
- Stars (snapshot): 3,917
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/langroid/langroid
- https://github.com/langroid/langroid/blob/main/README.md
- https://img.shields.io/pypi/v/langroid
- https://img.shields.io/pypi/dm/langroid
- https://github.com/langroid/langroid/actions/workflows/pytest.yml/badge.svg

## Evidence notes (from repository text)
- README summary paragraph: Documentation · Examples Repo · Discord · Contributing
- https://github.com/langroid/langroid/actions/workflows/pytest.yml/badge.svg](https://github.com/langroid/langroid/actions/workflows/pytest.yml)
- https://github.com/langroid/langroid/actions/workflows/docker-publish.yml/badge.svg](https://github.com/langroid/langroid/actions/workflows/docker-publish.yml)
- Python framework to easily build LLM-powered applications, from CMU and UW-Madison researchers.
- You set up Agents, equip them with optional components (LLM,
- vector-store and tools/functions), assign them tasks, and have them

## Installation hints found in README
- `pip install langroid`
- `pip install "langroid[hf-embeddings]"`
- `pip install "langroid[doc-chat]"`
- `pip install "langroid[db]"`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

  • Save this as a worker spec file (for example: langroid-my-task.worker.md).
  • Replace the input/output schemas and purpose with your real bounded task.
  • Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/langroid/

Source URL: https://github.com/langroid/langroid