agentscope-ai/agentscope-java
View on GitHub[Feature]: Performance Benchmark Baseline
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#140 opened on Dec 4, 2025
3 comments (3 comments)0 reactions (0 reactions)1 assignee (1 assignee)Java3,253 stars (3,253 stars)693 forks (693 forks)user submission
good first issuehelp wanted
Description
This issue does not include a description.
Contributor guide
- Tech stack
- java
- Domain
- backendperformance
- Issue type
- feature
- DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
- 3
- Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
- 1-2 days
- Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
- active
- ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
- needs investigation
- Prerequisites
- JavaPerformance testing concepts
- Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
- 30
- Research direction
- The issue requests a performance benchmark baseline. Since the body is empty, the first step is to review existing comments to understand expected scope and metrics. Consider using Java Microbenchmark Harness (JMH) to benchmark key agent operations like agent creation, message passing, and LLM invocation. Propose a set of benchmark scenarios with defined metrics (throughput, latency) and discuss possible reporting formats (e.g., CI integration with charts). Engage with the assignee and maintainers to clarify acceptance criteria and ensure the baseline is actionable.