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traceAI

future-agi/traceAI

Open-source observability for AI applications

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

46views this month

221 stars44 forksLast push Aug 27, 2026 Python Apache-2.0

Decision brief

traceAI is an open-source observability framework for AI applications, built on OpenTelemetry, that provides structured tracing for LLM calls, prompts, token counts, retrieval steps, and agent decisions.

Good fit when

  • When you need to trace every LLM call, prompt, token count, retrieval step, and agent decision in your AI application.
  • If you are working with multiple AI frameworks across Python, TypeScript, Java, and C#, and require consistent APIs for instrumentation.

Avoid when

  • If your project does not require detailed tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions.
  • When you are working exclusively with a single AI framework that does not require cross-language consistency.
Pricing:
freemium - traceAI is free and open-source, but users may incur costs based on the backend services they choose to integrate with.
Requirements:
Min 2 GB RAM; Python, TypeScript, Java, and C# are supported.; Requires OpenTelemetry-compatible backend for trace storage and visualization.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (21d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No lockfile
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install traceAI
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

traceAI is an open-source AI tracing framework built on OpenTelemetry for AI applications and frameworks, enabling structured tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions.

Capability facts

Languages
python

Source: github.language · Sep 18, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangChain integrationLangChain

Source: README excerpt (regex_v1, Sep 18, 2026)

> **Tip:** Swap `traceai-openai` for any supported framework (e.g., `traceai-langchain`, `traceai-anthropic`)
Source link
Node.js runtimeNode.js

Source: README excerpt (regex_v1, Sep 18, 2026)

npm install @traceai/openai @traceai/fi-core
Source link
Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

- **Python, TypeScript, Java, and C#** with consistent APIs
Source link

Tags

README

<div align="center" traceAI Open source observability for AI applications trace every LLM call, prompt, token, retrieval step, and agent decision. Built on OpenTelemetry, traceAI sends structured traces to any OTel compatible backend (Datadog, Grafana, Jaeger, Future AGI, and mor...

For agents

This page has a .md twin and JSON over the API.

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