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[P] Easily provide Wandb logs as context to agents for analysis and planning.

Reddit r/MachineLearning / 4/7/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
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Key Points

  • A developer built an open-source CLI tool (cadenza) that converts Weights & Biases (Wandb) experiment history into structured context that AI agents can use for analysis and planning.
  • The tool uses indexing/structuring algorithms from the AlphaEvolve research paper to organize runs so agents get relevant historical information without overwhelming the context window.
  • The CLI is designed to be easy for agents to consume and includes mechanisms to tune exploration–exploitation behavior during planning.
  • The repository also provides a Python SDK so the same functionality can be integrated into other custom agent systems.
  • The author is soliciting community feedback due to pain points with existing Wandb CLI/MCP approaches that can flood context and error out frequently.

It is frustrating to use the Wandb CLI and MCP tools with my agents. For one, the MCP tool basically floods the context window and frequently errors out :/

So I built a cli tool that:

  • imports my wandb projects;
  • uses algorithms from AlphaEvolve to index and structure my runs;
  • is easy to use for agents;
  • provides greater context of past experiments;
  • does not flood the context window; and
  • easily tune exploration-exploitation while planning

Would love any feedback and critique from the community :)

Repo: https://github.com/mylucaai/cadenza

Along with the cli tool, the repo also contains a python SDK which allows integrating this into other custom agents.

submitted by /u/hgarud
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