rin.kagamine
0fd8fcb742
Adds _resolve_date() helper that converts natural language shortcuts into YYYY-MM-DD before calling the LiteLLM API. Supported shortcuts: - today, yesterday, tomorrow - N days ago (e.g. "two days ago") - monday-sunday (most recent occurrence) - last monday-last sunday - this week, last week - this month, last month Falls back to passthrough for already-formatted YYYY-MM-DD strings. Updated README with new parameter documentation.
64 lines
3.0 KiB
Markdown
64 lines
3.0 KiB
Markdown
# LiteLLM Dashboard — Open WebUI Tool
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A simple, three-function Open WebUI Tool for checking LiteLLM proxy health, cost breakdowns, and recent request history.
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## Functions
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### `litellm_health`
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Check LiteLLM proxy health and authentication status. Returns which models are healthy/unhealthy, their rate limits, and any auth errors.
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### `litellm_cost`
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Get LiteLLM cost breakdown for a date range. Returns per-model and per-day spend, token counts, cache hit rate, and request stats.
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**Parameters:**
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- `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")
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- `end_date` (str, required): End date — YYYY-MM-DD or natural language shortcut
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- `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.
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### `litellm_history`
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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.
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**Parameters:**
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- `limit` (int, 1-50, default 20): Number of recent requests to show
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- `show_cost` (bool, default true): Include per-request cost
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- `show_failed` (bool, default true): Include failed requests. Set false to hide auth failures, routing errors, and probe noise.
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**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.
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## Valves (Configuration)
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| Valve | Default | Purpose |
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|-------|---------|---------|
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| `litellm_url` | `http://localhost:4000` | LiteLLM proxy base URL |
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| `litellm_master_key` | (empty) | LiteLLM master API key (password field) |
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Both valves are passed at runtime — no hardcoded keys. The tool is portable to any LiteLLM proxy instance.
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## Installation
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1. Copy `litellm_dashboard.py` to your Open WebUI Workspace or import via Admin → Tools
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2. Configure the two valves with your LiteLLM proxy URL and master key
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3. Enable the tool on a per-model or per-chat basis
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## Requirements
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- `requests` (standard pip package)
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- Open WebUI 0.4.0+
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- A running LiteLLM proxy instance
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## Design Principles
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- **Three functions, that's it.** No scope creep.
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- **Portable.** No hardcoded URLs or keys.
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- **Token-efficient.** Strips `litellm_metadata` (~2KB/model) from health responses. Formats cost data as readable text, not raw JSON dumps.
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- **General-purpose.** Works with any LiteLLM proxy instance.
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- **Read-only.** GET endpoints only. No mutations, no risk.
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## Documentation
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- **[ARCHITECTURE.md](ARCHITECTURE.md)** — Full architecture and design doc: API endpoints, response processing, stripped fields, error paths, future considerations.
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- **This README** — Quick reference: install, functions, valves, design principles.
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## License
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MIT |