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rin.kagamine 67f79cfabe fix: hide_zero_spend now filters models with sub-$0.001 spend

Previously filtered only exact $0.00, which left models with tiny
fractional spend (e.g. $0.0001) visible. Now hides anything below
$0.001 threshold — statistically insignificant noise.

- Changed comparison from == 0 to < 0.001
- Updated docstring and summary text
- Updated README parameter description

2026-06-13 16:25:15 -04:00

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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 in YYYY-MM-DD format
end_date (str, required): End date in YYYY-MM-DD format
hide_zero_spend (bool, default false): Hide models with sub-$0.001 spend. Useful when free-tier or subscription models (e.g. Ollama Cloud) dominate the breakdown with high token counts but negligible cost.

`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 show
show_cost (bool, default true): Include per-request cost
show_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)

Both valves are passed at runtime — no hardcoded keys. The tool is portable to any LiteLLM proxy instance.

Installation

Copy litellm_dashboard.py to your Open WebUI Workspace or import via Admin → Tools
Configure the two valves with your LiteLLM proxy URL and master key
Enable the tool on a per-model or per-chat basis

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.
This README — Quick reference: install, functions, valves, design principles.

License

MIT

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