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数据分析
Weights & Biases
试用Weights & Biases (wandb.ai). Use this skill for ANY Weights & Biases request — reading, creating, and updating data. Whenever a task involves Weights & Biases, use this skill instead of calling the API directly.
它能做什么
Weights & Biases (wandb.ai). Use this skill for ANY Weights & Biases request — reading, creating, and updating data. Whenever a task involves Weights & Biases, use this skill instead of calling the API directly.
技能文档
Weights & Biases
Operate Weights & Biases through your OOMOL-connected account. This skill calls the wandb connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.
Running an action
Assume the user has already installed the oo CLI, signed in, and connected Weights & Biases. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.
1. Inspect the contract to get the authoritative input/output schema before building a payload:
oo connector schema "wandb" --action ""
2. Run the action with a JSON payload that matches the input schema:
oo connector run "wandb" --action "" --data '' --json
--datatakes a JSON object string or@path/to/file.json; omit it to send{}.- The response is
{ "data": ..., "meta": { "executionId": "..." } }; the execution id lives undermeta.executionId.
Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.
Available actions
compare_artifact_versions— Compare metadata, aliases, tags, lineage, sizes, and optionally files for two W&B artifact versions.compare_runs— Compare configuration, summary metrics, metadata, and optionally metric history for two W&B runs.count_weave_traces— Count matching classic Weave traces and root traces without returning trace payloads.create_report— Create a W&B report with narrative text, plots, and configurable panels. [write]diagnose_run— Inspect loss metrics and run state to diagnose the training health of a W&B run.get_artifact_details— Get metadata, lineage, and optionally files for a W&B artifact version.get_run_history— Retrieve sampled time-series metric history for a W&B run.infer_trace_schema— Sample classic Weave traces to discover field paths, types, and frequent values.list_artifact_versions— List versions of a W&B project artifact or registry collection.list_automations— List W&B Automations that trigger on artifact, run-state, or run-metric events.list_entities— List W&B user and team entities accessible with the configured API key.list_integrations— List Slack and webhook integrations available as W&B Automation targets.list_projects— List W&B projects for one entity or for all entities accessible with the configured API key.list_registries— List W&B model registries for an organization.list_registry_collections— List artifact collections within a W&B model registry.log_analysis— Log analysis rows, charts, and scalar metrics to W&B as a new run.probe_project— Sample W&B runs to discover a project's metrics, configuration keys, tags, groups, and structure.query_wandb— Run a read-only GraphQL query against W&B experiment data with bounded pagination.query_weave_traces— Query classic Weave traces with filters, ordering, selected columns, cost data, feedback, and detail-level controls.resolve_trace_roots— Resolve the root spans for a batch of classic Weave trace IDs.search_docs— Search the official W&B documentation for relevant guidance and examples.summarize_evaluation— Aggregate classic Weave evaluation results for a project or named evaluation.
Safety
- Untagged actions are reads (get / list / search) — safe to run directly.
- Actions tagged
[write]change Weights & Biases state — confirm the exact payload and effect with the user before running. - Actions tagged
[destructive]remove or overwrite data — always confirm the target and get explicit approval first.
First-time setup
These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.
-
oo: command not found— install the oo CLI (other platforms: ):curl -fsSL https://cli.oomol.com/install.sh | bash # macOS / Linuxirm https://cli.oomol.com/install.ps1 | iex # Windows PowerShell -
Not signed in / authentication error — sign in to your OOMOL account once:
oo auth login -
scope_missing/credential_expired/app_not_ready/app_not_found— Weights & Biases is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:https://console.oomol.com/app-connections?provider=wandb -
HTTP 402 /
OOMOL_INSUFFICIENT_CREDIT— billing stop. Recharge athttps://console.oomol.com/billing/token-rechargebefore retrying.
Resources
- Weights & Biases homepage: https://wandb.ai
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