OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.
Open source
24 alternativesFuture AGI
This SDK provides AI evaluations, prompt management, and observability for Python and TypeScript workflows.
About Future AGI
Future AGI is an open-source SDK for AI evaluation, observability and optimization, published on GitHub with separate Python and TypeScript packages. It combines automated evaluations, prompt versioning, dataset management, knowledge base retrieval, tracing and guardrails in one feedback loop for AI systems. The SDK supports 50+ evaluation metrics, LLM-as-judge and custom rubrics via a Critique AI agent, and OpenAI-compatible tracing across 50+ frameworks.
Key features
- Automated evaluations with 50+ metrics, LLM-as-judge and custom rubrics
- Real-time guardrails described with sub-100ms latency
- Dataset creation, versioning and management with built-in evaluations
- Prompt Workbench with version control, A/B testing and deployment labels
- Knowledge base document management and retrieval for RAG applications
- OpenTelemetry-native tracing across 50+ frameworks
Best for: Python and TypeScript teams building AI agents or LLM applications that need automated evaluation, prompt versioning and tracing in one SDK.
Good for
- Open-source, with separate Python and TypeScript packages
- Covers evaluation, prompt management, datasets, RAG and observability in one SDK
- Authentication uses API keys obtained from the Future AGI dashboard
Watch out for
- Requires API credentials from the Future AGI dashboard, tying use to that hosted service
- Runtime requirements are Python >= 3.10 or Node.js >= 14
- Guardrail latency and metric counts are stated by the project and not independently verified here
Future AGI at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Future AGI alternatives
Tools and sites you could use instead, ranked by how closely they match.
Promptitude lets teams test, manage, and improve prompts for integrating GPT into apps and workflows.
Helicone provides open-source observability for LLM applications, with tools to monitor, evaluate, and experiment.
Open source
24 alternatives
Compose, test, and optimize prompts for language-model applications in Promptmetheus, an IDE supporting more than 100 models.
Langtail helps product teams build, test, version, and deploy AI prompts collaboratively.
The fenn Python framework supports machine learning workflows and LLM agents, with trainers, templates, logging, and configuration management.
Open source
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Future AGI FAQ
How is the SDK installed?
Install the Python package with pip install futureagi, or the TypeScript/JavaScript package with npm install @future-agi/sdk or pnpm add @future-agi/sdk.
What are the runtime requirements?
Python 3.10 or newer, or Node.js 14 or newer.
How do you authenticate?
Obtain API credentials from the Future AGI dashboard and set them as the FI_API_KEY and FI_SECRET_KEY environment variables, or set them programmatically.
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