AI Worker worker.md

yomo

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Tool registry 1,908 stars Rust NOASSERTION Worker-compatible

Source#

  • Repository: yomorun/yomo
  • Last source update: 2026-06-18
  • Last verified: 2026-06-21

Tags#

a2a-protocolagent-frameworkclaude-codedistributed-cloudfunction-callinggeodistributedsystems

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

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: yomo-repo-derived-worker
name: yomo Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/yomo/
source_repository: https://github.com/yomorun/yomo
repository_default_branch: main
repository_language: Rust
repository_license: NOASSERTION
repository_updated_at: 2026-06-18
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-06-21
tags:
  - a2a-protocol
  - agent-framework
  - claude-code
  - distributed-cloud
  - function-calling
  - geodistributedsystems
---

# yomo Repo-Derived Worker

## Repo-derived summary
- Registry summary: 🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
- Repository description: 🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
- Stars (snapshot): 1,908
- Primary language: Rust
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/yomorun/yomo
- https://github.com/yomorun/yomo/blob/main/README.md
- https://github.com/yomorun/yomo/workflows/Go/badge.svg
- https://codecov.io/gh/yomorun/yomo/branch/main/graph/badge.svg?token=MHCE5TZWKM
- https://github.com/yomorun/llm-function-calling-examples

## Evidence notes (from repository text)
- README summary paragraph: YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents. 💚 We care about: **Empowering Exceptional Customer Experiences in the Age of AI**
- # YoMo !https://github.com/yomorun/yomo/workflows/Go/badge.svg https://codecov.io/gh/yomorun/yomo/branch/main/graph/badge.svg?token=MHCE5TZWKM](https://codecov.io/gh/yomorun/yomo)
- YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents.
- | ⚡️ | **Serverless LLM Tools** | Deploy and Manage LLM Tools / Skills seamlessly. |
- | 🔐 | **Enhanced Security** | TLS v1.3 encryption is applied to every data packet by design, ensuring robust security for your AI agent communications. |
- Let's build a simple AI agent with LLM Function Calling to provide weather information:

## Installation hints found in README
- No explicit package installation command detected in README text.

## 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: yomo-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/yomo/

Source URL: https://github.com/yomorun/yomo