Route and compare model outputs across OpenRouter's unified API.
npx skills add https://github.com/rawwerks/raygent-skills --skill openrouter
Please help me install this Agent Skill. Skill: openrouter Source: https://github.com/rawwerks/raygent-skills/tree/main/openrouter Command: npx skills add https://github.com/rawwerks/raygent-skills --skill openrouter
This Skill eliminates the complexity of managing multiple LLM APIs, allowing you to access, compare, and optimize hundreds of models from various providers through a single, unified interface. It automates cost and performance tracking, saving you time and effort in model selection.
anthropic/claude-3.5-sonnet and openai/gpt-4o for a summarization task, identifying which is faster and more cost-effective for your needs.Call the 'anthropic/claude-3.5-sonnet' model using the openrouter skill to explain quantum computing, and output the full response as JSON.
High-intent search queries and answers about installing and using this skill.
Model comparison across providers involves calling multiple LLMs through a unified API, measuring response times and token usage, then calculating per-token costs to identify the fastest and most cost-effective option for your task.
Yes, OpenRouter provides unified API access to hundreds of models from multiple providers using one API key, eliminating the need to manage separate credentials and integrations for each LLM provider.
Cost tracking automates monitoring of token consumption and pricing per API call, computing per-token expenses based on provider rates and returning usage reports alongside model responses for budget optimization.
Benchmarking involves routing identical prompts to different models, capturing structured JSON output and response times, then comparing results to identify which model delivers the best quality-to-latency-to-cost ratio for your use case.
The Skill uses jq for parsing structured JSON output from API responses, enabling command-line filtering and transformation of model results, token metrics, and cost data for further analysis.
Automation enforces API calls with structured outputs, response time measurement, and token usage reporting, allowing you to programmatically select models that meet speed or budget thresholds without manual evaluation.
cfardevRoute chat completion requests across 200+ language models via a unified API.
mindspore-aiSummarize and compare operator performance results from result.json files.
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