GraphCanon updated 4w · GitHub synced 4w · 31 views this month
Decision brief
Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license.
Good fit when
- - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4.
- - For developers who are already utilizing Prometheus within their stack and want to extend observability to LLM performance through the same tooling.
Avoid when
- - If your project does not require Prometheus metrics or if you prefer not to integrate an additional service for evaluation.
- - When your organization has strict data policies that prohibit using GPT-4 for assessment purposes, such as in scenarios with sensitive data processing outside AWS.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (452d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install prometheus-eval PyPIHow it fits your stack(6)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Prometheus-Eval is a tool that evaluates Language Model responses using Prometheus and GPT-4, providing feedback through local inference or via API.
Capability facts
- Languages
- python
Source: github.language · Jul 21, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🔧 Installation
Installation with pip:
pip install prometheus-eval
Prometheus-Eval supports local inference through vllm and inference through LLM APIs with the help of litellm.
⏩ Quick Start
Note: prometheus-eval library is currently in the beta stage. If you encounter any issues, please let us know by creating an issue on the repository.
With
prometheus-eval, evaluating any instruction and response pair is as simple as:
For agents
This page has a .md twin and JSON over the API.