Plugin · Claude Code · LLM Integration

Raveeshbhalla Dspy Gepa Logger

raveeshbhalla-dspy-gepa-logger is a Claude Code plugin for the Operate phase that adds observable GEPA optimization, migration tools, and dashboard logging for DSPy pipelines.

by raveeshbhalla · github.com/raveeshbhalla/dspy-gepa-logger

Make DSPy GEPA optimization observable with logging, observers, migration helpers, and dashboard hooks inside Claude Code workflows.

49
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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install raveeshbhalla-dspy-gepa-logger@raveeshbhalla/dspy-gepa-logger
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:raveeshbhalla/dspy-gepa-logger") and the paste-ready config with skillselion.get_install_config("plugin:raveeshbhalla/dspy-gepa-logger").

About

What it does

raveeshbhalla-dspy-gepa-logger is a Claude Code plugin for builders who optimize DSPy programs with GEPA and need visibility—not black-box tuning sessions. The one-plugin pack adds observable optimization with migration paths from legacy setups, custom observers, and hooks aimed at dashboard and monitoring workflows so you can see what changed between iterations. It suits solo developers running agent or API pipelines where prompt optimization is continuous: you instrument during Build agent-tooling work, then rely on the same surface in Operate to watch failures and regressions, and in Grow to interpret iteration analytics. Intermediate users already on DSPy benefit most; it is not a general-purpose logger for every stack. Install when GEPA is on your critical path and you need quotable, traceable optimizer behavior inside Claude-driven development and production iteration loops.

Highlights

  • Single-plugin bundle for observable GEPA optimizer integration with DSPy
  • Migration utilities to move existing GEPA setups onto observable logging patterns
  • Custom observers and structured logging for optimization iterations
  • Dashboard-oriented integration keywords for visualizing GEPA runs
  • Development-category plugin from raveeshbhalla/dspy-gepa-logger (~49 stars)

Why builders use it

DSPy builders running GEPA cannot debug or trust optimizer runs when iterations lack structured logs and a single view of observer output.

After install, GEPA runs emit observable events you can migrate, monitor, and tie into dashboards while tuning DSPy programs in Claude Code.

At a glance

  • Type - Plugin in LLM Integration.
  • Adoption - 0 installs, 49 stars, 0 votes.

FAQ

Who is raveeshbhalla-dspy-gepa-logger for?

Developers optimizing DSPy with GEPA who want Claude Code-accessible logging, observers, and dashboard integration for those runs.

When should I use raveeshbhalla-dspy-gepa-logger?

Use it when you are running or migrating GEPA optimization and need continuous visibility into iterations, not only final prompt scores.

How do I add raveeshbhalla-dspy-gepa-logger to my agent?

Install the plugin from raveeshbhalla/dspy-gepa-logger into Claude Code, configure DSPy/GEPA in your project, then enable the observable logger and migration steps documented in the repo.

Discussion

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