4.3 KiB
LiteLLM Dashboard — Open WebUI Tool
A simple, three-function Open WebUI Tool for checking LiteLLM proxy health, cost breakdowns, and recent request history.
Functions
litellm_health
Check LiteLLM proxy health and authentication status. Returns which models are healthy/unhealthy, their rate limits, and any auth errors.
litellm_cost
Get LiteLLM cost breakdown for a date range. Returns per-model and per-day spend, token counts, cache hit rate, and request stats.
Parameters:
start_date(str, required): Start date — YYYY-MM-DD or natural language shortcut (e.g. "2026-06-01", "today", "yesterday", "monday", "last monday", "two days ago", "this week", "last month")end_date(str, required): End date — YYYY-MM-DD or natural language shortcuthide_zero_spend(bool, default false): When True, force-hide models with sub-$0.001 spend. When False, use the valve-configured default (seedefault_hide_zero_spendbelow). This two-level design lets the human set a default via valves while allowing the SLM to explicitly override on a per-call basis.
litellm_history
Get recent LiteLLM request history. Returns the most recent N requests with model, call type, status, duration, token counts, cache hit %, and per-request cost. Useful for understanding which models are being called and how much individual requests cost.
Parameters:
limit(int, 1-50, default 20): Number of recent requests to showshow_cost(bool, default true): Include per-request costshow_failed(bool, default true): Include failed requests. Set false to hide auth failures, routing errors, and probe noise.
Cost awareness: This function hits /spend/logs which returns all historical logs. For large deployments, this can be a heavy query. Use reasonable limit values.
Valves (Configuration)
| Valve | Default | Purpose |
|---|---|---|
litellm_url |
http://localhost:4000 |
LiteLLM proxy base URL |
litellm_master_key |
(empty) | LiteLLM master API key (password field) |
default_hide_zero_spend |
True |
Default behavior for zero-spend model filtering. When True, models with sub-$0.001 spend are hidden by default. The per-call hide_zero_spend parameter can override this. |
Both valves are passed at runtime — no hardcoded keys. The tool is portable to any LiteLLM proxy instance.
Installation
- Copy/import
litellm_dashboard.pyto your Open WebUI Workspace - Configure the two valves with your LiteLLM proxy URL and master key
- Enable the tool in the chat's tools menu (per-chat) or enable it for the model in model settings (always-on with that model)
Requirements
requests(standard pip package)- Open WebUI 0.4.0+
- A running LiteLLM proxy instance
Design Principles
- Three functions, that's it. No scope creep.
- Portable. No hardcoded URLs or keys.
- Token-efficient. Strips
litellm_metadata(~2KB/model) from health responses. Formats cost data as readable text, not raw JSON dumps. - General-purpose. Works with any LiteLLM proxy instance.
- Read-only. GET endpoints only. No mutations, no risk.
Documentation
- ARCHITECTURE.md — Full architecture and design doc: API endpoints, response processing, stripped fields, error paths, future considerations, changelog.
- This README — Quick reference: install, functions, valves, design principles.
Changelog
v1.3.2 (2026-06-26)
- feat: Hardcore FinOps Audit Engine (TASK-004) — added
_audit_costhelper and staticMODEL_PRICINGregistry to verify reported spend against actual provider caching rates. - feat: Real-time request cost auditing in
litellm_historyoutput. - fix: Robust cache-extraction logic supporting nested metadata structures for Gemini/z.ai models.
v1.2.0 (2026-06-13)
- feat: Natural language date shortcuts for
litellm_cost()—today,yesterday,monday,last week, etc. - feat:
hide_zero_spendparameter forlitellm_cost()— default True hides sub-$0.001 models with summary line; per-call parameter can override - fix: Cost report header shows resolved YYYY-MM-DD dates instead of raw shortcuts
v1.1.0 (2026-06-13)
- Initial public release
- Three functions:
litellm_health,litellm_cost,litellm_history - Valve-based configuration (no hardcoded keys)
- Token-efficient response formatting
License
MIT