
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-codeInstalls 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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