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omnibioai-toolserver

A standalone HTTP ToolServer for the OmniBioAI ecosystem.

This service implements the REST contract expected by omnibioai-tes (Tool Execution Service, legacy package name: omnibioai-tes) HttpToolServerAdapter`, enabling secure, validated, and reproducible execution of REST-backed bioinformatics tools (e.g. Enrichr, annotation services, external APIs).

It is designed to run independently and be registered as a remote execution server in OmniBioAI TES.


Implemented API Contract

The ToolServer exposes the following endpoints:

  • GET /capabilities Advertise supported tools, engines, resources, and runtime policies.

  • POST /validate Validate tool inputs and resource requests.

  • POST /runs Submit a tool execution request.

  • GET /runs/{id} Retrieve run state (QUEUED, RUNNING, COMPLETED, FAILED).

  • GET /runs/{id}/logs Retrieve execution logs.

  • GET /runs/{id}/results Retrieve structured tool results once the run is completed.

  • GET /health Service health check — returns {"ok": true, "service": "omnibioai-toolserver"}

This contract matches the expectations of omnibioai-tesHttpToolServerAdapter.


Current Capabilities

  • Engine: http_toolserver

  • Tools:

    • enrichr_pathway — Pathway enrichment via Enrichr (REST, multipart-safe)
  • Execution model:

    • Stateless REST calls
    • Structured validation
    • Run lifecycle tracking
  • Designed for:

    • OmniBioAI agents
    • TES-controlled execution
    • Future multi-tool expansion (OMIM, GO, UniProt, etc.)

Running

Via OmniBioAI Studio (recommended)

cd ~/Desktop/machine/omnibioai-studio
docker compose up -d toolserver

Access: http://localhost:9090 Via nginx: http://localhost/_svc/toolserver

Standalone (development)

pip install -r requirements.txt
uvicorn toolserver_app:create_app --factory \
  --host 0.0.0.0 --port 9090 --reload

Verify

curl http://localhost:9090/health
# {"ok": true, "service": "omnibioai-toolserver"}

curl http://localhost:9090/capabilities | python -m json.tool

Integration with OmniBioAI TES

Register this service as a server in omnibioai-tes:

- server_id: enrichment_remote
  display_name: Enrichment ToolServer
  adapter_type: http_toolserver
  config:
    base_url: "http://127.0.0.1:9090"

Then submit runs through TES:

POST /api/runs/submit

The ToolServer is never called directly by the browser or LLM—all execution is mediated by TES.


Adding a New REST-Backed Tool

  1. Create a new handler:
toolserver/tools/<new_tool>.py

Implement:

def _validate(inputs, resources) -> {
  "ok": bool,
  "errors": [],
  "warnings": []
}

def _run(inputs, resources, log) -> Dict[str, Any]
  1. Register the tool in:
toolserver/tools/__init__.py
registry.register(ToolHandler(...))
  1. Restart the server.

The tool will be automatically advertised via /capabilities.

No changes are required in TES beyond refreshing server capabilities.


Testing

cd ~/Desktop/machine/omnibioai-toolserver
pytest tests/ -v --cov=.

# 100% coverage

Design Principles

  • LLMs never execute tools directly

  • All execution is validated and audited

  • Strict separation between:

    • intent (agents / UI)
    • orchestration (TES)
    • execution (ToolServer)
  • REST-first, container-friendly, and infrastructure-agnostic


Related Services

Service Role
omnibioai-tes Primary consumer — routes HTTP tool requests to ToolServer
omnibioai-api-gateway JWT enforcement on all ToolServer requests
omnibioai-control-center Health monitoring (toolserver:9090)
omnibioai-studio Manages ToolServer container lifecycle

Status

Feature Status
Enrichr pathway enrichment ✓ Stable
TES HttpToolServerAdapter integration ✓ Stable
Health endpoint ✓ Stable
REST tool lifecycle (submit/poll/results) ✓ Stable
Test coverage ✓ 100%
Docker Compose deployment ✓ Stable

About

FastAPI-based ToolServer for OmniBioAI — provides validated, asynchronous execution APIs for bioinformatics tools. Accepts tool invocation requests, validates inputs against declared schemas, executes tools in isolation, and returns structured results. Acts as the execution boundary between the platform and individual tools.

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