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Future Agi Platform

This is a comprehensive platform for LLM observability and evaluation that actually brings together the full stack: OpenTelemetry-native tracing, 50+ evaluation metrics, guardrails, and an OpenAI-compatible gateway. You instrument your OpenAI, LangChain, or LlamaIndex code with a few lines, and it automatically traces every call. The evaluation side handles everything from hallucination detection to custom rubrics and batch runs over datasets. It's self-hostable via Docker Compose or Kubernetes, which matters if you're dealing with sensitive data or want to avoid vendor lock-in. The skill gives you working examples for both Python and TypeScript, plus the actual setup commands for spinning up the infrastructure.

skills.sh installs
206
GitHub stars
26
last updated
Jun 3, 2026

Install

$ npx -y skills add aradotso/trending-skills --skill future-agi-platform --agent claude-code

Installs into .claude/skills of the current project.

Files

Future AGI Platform

Skill by ara.so — Daily 2026 Skills collection.

Future AGI is an open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. It provides tracing (OpenTelemetry-native), 50+ evaluation metrics, multi-turn simulations, guardrails/protect, an OpenAI-compatible gateway, and prompt optimization — all in one self-hostable platform with a closed feedback loop.


Installation

Python SDK

pip install ai-evaluation
# For instrumentation/tracing:
pip install fi-instrumentation
# Framework-specific instrumentors:
pip install traceai-openai
pip install traceai-langchain
pip install traceai-llamaindex
pip install traceai-crewai

TypeScript/Node SDK

npm install @traceai/fi-core
npm install @traceai/openai

Self-Host via Docker Compose

git clone https://github.com/future-agi/future-agi.git
cd future-agi
cp futureagi/.env.example futureagi/.env
# Edit .env with your API keys and config
docker compose up -d
# Access at http://localhost:3031

Self-Host via Kubernetes

# Plain manifests available in deploy/
kubectl apply -f deploy/

Sponsors

Details

Repository
github.com/aradotso/trending-skills
First seen
Jun 3, 2026

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