Skip to content
Back to the index

agent-blame

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on PyPI and has been in the index since 27 Aug 2026. How this is checked

agent-blame is an MIT-licensed Python package for tracing LLM agent executions and attributing failures to specific steps or components. It is intended for developers and ML engineers debugging and evaluating agent workflows.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Identifying which steps in an LLM agent execution caused a failure.

Inferred · not functionally tested

Audience: AI developers and ML engineers evaluating LLM agents

Inferred · not functionally tested

Functions: monitoring, 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: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

agent-blame sits in PulseGate's LLM & agent tracing category. Inferred · not functionally tested: It focuses on identifying which steps in an LLM agent execution caused a failure. Inferred · not functionally tested: agent-blame is an open-source project aimed at AI developers and ML engineers evaluating LLM agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

agent-blame first shipped in 2026. Inferred · not functionally tested: Key capabilities include execution tracing, failure attribution, and agent debugging.

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

Tasks: Inferred · not functionally tested

  • Execution tracing
  • Failure attribution
  • Agent debugging
  • LLM evaluation
  • Observability

Topics: Inferred · not functionally tested

Tags
llm-tracingagent-debuggingfailure-attributionai-observability
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen Source

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Aug · 00:03 UTC
    agent-blame seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about agent-blame

What is agent-blame?
Inferred · not functionally tested: Agent-blame focuses on identifying which steps in an LLM agent execution caused a failure. It is catalogued under LLM & agent tracing on PulseGate.
Who is agent-blame for?
Inferred · not functionally tested: agent-blame is an open-source project built for AI developers and ML engineers evaluating LLM agents.
Does agent-blame have a free plan?
Basis unknown · not verified: Yes — agent-blame is open source under the MIT license and free to use.
What platforms does agent-blame run on?
Basis unknown · not verified: agent-blame runs on the command line. It can also be self-hosted.
Is agent-blame still active?
PulseGate's liveness check found it on 3 Oct 2026.
What are alternatives to agent-blame?
Similar projects tracked by PulseGate include agent-alibi, blame-engine, and agent-detective.agent-alibiblame-engineagent-detective
When did agent-blame launch?
agent-blame first shipped in 2026.
Is agent-blame open source?
Basis unknown · not verified: Yes — agent-blame is open source under the MIT license.

Similar projects

Closest matches by what these projects do