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agent-eval-flow

PyPIInfrastructure

PulseGate's liveness check found it on 15 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 15 Sep 2026. How this is checked

agent-eval-flow is a Python package for evaluating complete agent systems while preserving evidence from their executions. It is intended for developers testing and analyzing LLM-powered agents and their workflows.

Inferred · not functionally tested

Open SourceCLISelf-hosted
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1star
4features
2026since

Overview

4 features

Purpose: Evaluating complete agent systems while preserving execution evidence for reproducible analysis.

Inferred · not functionally tested

Audience: AI and agent developers

Inferred · not functionally tested

Functions: agents, analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Agent evaluation & testing space, agent-eval-flow takes a focused approach. Inferred · not functionally tested: It focuses on evaluating complete agent systems while preserving execution evidence for reproducible analysis. Inferred · not functionally tested: It is built as an open-source project for AI and agent developers. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Guy Bass builds and maintains agent-eval-flow, and it first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are agent evaluation, execution evidence, and LLM evaluation.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Agent evaluation
  • Execution evidence
  • LLM evaluation
  • Agent workflow analysis

Topics: Inferred · not functionally tested

Tags
agent-evaluationexecution-evidencellm-testingagent-systems
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Open Source
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed3 Oct · 12:37 UTC
    agent-eval-flow seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed15 Sep · 12:21 UTC
    agent-eval-flow seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about agent-eval-flow

What is agent-eval-flow?
Inferred · not functionally tested: Agent-eval-flow focuses on evaluating complete agent systems while preserving execution evidence for reproducible analysis. It is catalogued under Agent evaluation & testing on PulseGate.
Who should use agent-eval-flow?
Inferred · not functionally tested: agent-eval-flow is an open-source project built for AI and agent developers.
Is agent-eval-flow free?
Basis unknown · not verified: Yes — agent-eval-flow is open source under the Open Source license and free to use.
What platforms does agent-eval-flow run on?
Basis unknown · not verified: agent-eval-flow runs on the command line. It can also be self-hosted.
Is agent-eval-flow still active?
PulseGate's liveness check found it on 15 Sep 2026. Its GitHub repository shows 6 commits in the last 90 days.
What are alternatives to agent-eval-flow?
Similar projects tracked by PulseGate include evidenceflow, agentaudit-eval, and agent-evaluation-lab.evidenceflowagentaudit-evalagent-evaluation-lab
Who makes agent-eval-flow?
agent-eval-flow is developed by Guy Bass.
When did agent-eval-flow launch?
agent-eval-flow first shipped in 2026.

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