traceroutine
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 25 Aug 2026. How this is checked
traceroutine is an open-source Python package for process mining on LLM agent traces. It helps developers analyze token usage, execution timing, and process conformance, with integrations around agent tracing and observability workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Understanding where LLM agent workflows spend tokens and time and whether their execution conforms to expected processes.
Inferred · not functionally tested
Audience: LLM application developers and observability engineers
Inferred · not functionally tested
Functions: analytics, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · 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.
traceroutine is a LLM & agent tracing project. Inferred · not functionally tested: It focuses on understanding where LLM agent workflows spend tokens and time and whether their execution conforms to expected processes. Inferred · not functionally tested: It is built as an open-source project for LLM application developers and observability engineers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
Gurov builds and maintains traceroutine, and it first shipped in 2026. The project is developed in the open on GitHub with 10 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include trace analysis, token usage analysis, and timing analysis. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Trace analysis
- Token usage analysis
- Timing analysis
- Process mining
- Conformance checking
- LLM observability
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about traceroutine
- What does traceroutine do?
- Inferred · not functionally tested: Traceroutine focuses on understanding where LLM agent workflows spend tokens and time and whether their execution conforms to expected processes. It is catalogued under LLM & agent tracing on PulseGate.
- Who is traceroutine for?
- Inferred · not functionally tested: traceroutine is an open-source project built for LLM application developers and observability engineers.
- Does traceroutine have a free plan?
- Basis unknown · not verified: Yes — traceroutine is open source under the Apache-2.0 license and free to use.
- What platforms does traceroutine run on?
- Basis unknown · not verified: traceroutine runs on the command line. It can also be self-hosted.
- Is traceroutine still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 10 commits in the last 90 days.
- Who makes traceroutine?
- traceroutine is developed by Gurov.
- When did traceroutine launch?
- traceroutine first shipped in 2026.
- Is traceroutine open source?
- Basis unknown · not verified: Yes — traceroutine is open source under the Apache-2.0 license, developed on GitHub.
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