langchain-cost-tuning
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
npx skills add majiayu000/claude-skill-registry --skill langchain-cost-tuning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Cost Tuning ## Overview Strategies for reducing LLM API costs while maintaining quality in LangChain applications. ## Prerequisites - LangChain application in production - Access to API usage dashboard - Understanding of token pricing ## Instructions ### Step 1: Understand Token Pricing ```python # Current approximate pricing (check provider for current rates) PRICING = { "openai": { "gpt-4o": {"input": 0.005, "output": 0.015}, # per 1K tokens "gpt-4o-mini": {"input": 0.00015, "output": 0.0006}, "gpt-3.5-turbo": {"input": 0.0005, "output": 0.0015}, }, "anthropic": { "claude-3-5-sonnet": {"input": 0.003, "output": 0.015}, "claude-3-haiku": {"input": 0.00025, "output": 0.00125}, }, "google": { "gemini-1.5-pro": {"input": 0.00125, "output": 0.005}, "gemini-1.5-flash": {"input": 0.000075, "output": 0.0003}, } } def estimate_cost( input_tokens: int, output_tokens: int, model: str = "gpt-4o-mini" ) -> float: """Estimate API cost for a request.""" provider, model_name = model.split("/") if "/" in model else ("openai", model) rates = PRICING.get(provider, {}).get(model_name, {"input": 0.001, "output": 0.002}) return (input_tokens / 1000 * rates["input"]) + (output_tokens / 1000
- Overview
- Prerequisites
- Instructions
- Step 1: Understand Token Pricing
- Step 2: Implement Token Counting
- Step 3: Optimize Prompt Length
- Step 4: Model Tiering Strategy
- Step 5: Implement Caching
- Step 6: Set Budget Limits
- Cost Optimization Summary
- Output
- Resources
- Next Steps
What does the langchain-cost-tuning skill do?
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-cost-tuning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.