Compare Training Runs
Compare configuration and metrics for two known runs.
/oo Weights & Biases: Compare W&B runs [run A ID] and [run B ID] in entity [entity] project [project], then retrieve their sampled histories to explain metric differences.
Ask your AI assistant to work with Weights & Biases: compare experiments and investigate weave traces.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Compare configuration and metrics for two known runs.
/oo Weights & Biases: Compare W&B runs [run A ID] and [run B ID] in entity [entity] project [project], then retrieve their sampled histories to explain metric differences.
Discover trace fields before querying and counting records.
/oo Weights & Biases: Infer classic Weave trace schema in [entity/project], query traces matching [criteria], and count matching traces; summarize inspected examples separately from counts.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect using your Weights & Biases W&B API Key.
Connect Weights & Biases →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Weights & Biases connects experiment metrics, artifact context, and classic Weave traces to AI investigation and reporting.
Compare configuration and metrics for two known runs.
Discover trace fields before querying and counting records.
Query classic Weave traces with filters, ordering, selected columns, cost data, feedback, and detail-level controls.
wandb.query_weave_traces Count matching classic Weave traces and root traces without returning trace payloads.
wandb.count_weave_traces Resolve the root spans for a batch of classic Weave trace IDs.
wandb.resolve_trace_roots Run a read-only GraphQL query against W&B experiment data with bounded pagination.
wandb.query_wandb Create a W&B report with narrative text, plots, and configurable panels.
wandb.create_report Log analysis rows, charts, and scalar metrics to W&B as a new run.
wandb.log_analysis List W&B user and team entities accessible with the configured API key.
wandb.list_entities List W&B projects for one entity or for all entities accessible with the configured API key.
wandb.list_projects List W&B Automations that trigger on artifact, run-state, or run-metric events.
wandb.list_automations List Slack and webhook integrations available as W&B Automation targets.
wandb.list_integrations Sample classic Weave traces to discover field paths, types, and frequent values.
wandb.infer_trace_schema Search the official W&B documentation for relevant guidance and examples.
wandb.search_docs Retrieve sampled time-series metric history for a W&B run.
wandb.get_run_history List W&B model registries for an organization.
wandb.list_registries List artifact collections within a W&B model registry.
wandb.list_registry_collections List versions of a W&B project artifact or registry collection.
wandb.list_artifact_versions Get metadata, lineage, and optionally files for a W&B artifact version.
wandb.get_artifact_details Compare metadata, aliases, tags, lineage, sizes, and optionally files for two W&B artifact versions.
wandb.compare_artifact_versions Compare configuration, summary metrics, metadata, and optionally metric history for two W&B runs.
wandb.compare_runs Aggregate classic Weave evaluation results for a project or named evaluation.
wandb.summarize_evaluation Inspect loss metrics and run state to diagnose the training health of a W&B run.
wandb.diagnose_run Sample W&B runs to discover a project's metrics, configuration keys, tags, groups, and structure.
wandb.probe_project No matching tools.
The hosted endpoint supports Dedicated Cloud, not Multi-tenant Cloud; Self-Managed deployments need a separate public server.
The history action retrieves sampled time-series metrics.
Create a report or log analysis data as a new W&B run with explicit entity and project.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.