LLMTornado
The .NET library to build AI agents with 30+ built-in connectors.
Source#
- Repository: lofcz/LLMTornado
- Last source update: 2026-04-02
- Last verified: 2026-04-05
Tags#
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: llmtornado-repo-derived-worker
name: LLMTornado Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/llmtornado/
source_repository: https://github.com/lofcz/LLMTornado
repository_default_branch: master
repository_language: C#
repository_license: MIT
repository_updated_at: 2026-04-02
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-04-05
tags:
- a2a
- agent
- agent-framework
- agent-orchestration
- agent2agent
- agentic-ai
---
# LLMTornado Repo-Derived Worker
## Repo-derived summary
- Registry summary: The .NET library to build AI agents with 30+ built-in connectors.
- Repository description: The .NET library to build AI agents with 30+ built-in connectors.
- Stars (snapshot): 590
- Primary language: C#
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/lofcz/LLMTornado
- https://github.com/lofcz/LLMTornado/blob/master/README.md
- https://llmtornado.ai
- https://shields.io/nuget/v/LlmTornado?v=302&icon=nuget&label=LlmTornado
- https://shields.io/nuget/v/LlmTornado.Agents?v=303&icon=nuget&label=LlmTornado.Agents
## Evidence notes (from repository text)
- README summary paragraph: **Build AI agents and workflows in minutes with one toolkit and built-in connectors to 30+ API Providers & Vector Databases.**
- **Build AI agents and workflows in minutes with one toolkit and built-in connectors to 30+ API Providers & Vector Databases.**
- - 25/06 - https://llmtornado.ai/agents/tornado-agent/tools/function-tools system is added, freeing applications from authoring JSON schema manually. https://llmtornado.ai/mpc/mpc protocol is implemented.
- - 25/05 - https://llmtornado.ai/agents/tornado-agent/tools/response-tools system is added, allowing usage of `/responses` exclusive models from `/chat` endpoint.
- - 25/03 - https://llmtornado.ai/llmtornado/assistants/basics are implemented.
- dotnet add package LlmTornado.Agents # Agentic framework, higher-level abstractions
## 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:
llmtornado-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/llmtornado/
Source URL: https://github.com/lofcz/LLMTornado