Promptly
An AI Cost Optimization Infrastructure for LLM Applications
Promptly launched on March 19, 2026 with 13 votes, #1,024 of 23,380 launches that month and more than 90% of that year's launches.
What it does
Promptly is an OpenAI-compatible proxy that cuts your LLM spend by up to 60% with smart routing, prompt optimization, semantic caching, and context pruning. Works with OpenAI, Anthropic, and Google.
An OpenAI-compatible proxy that optimizes every request. Smart routing, prompt compression, and semantic caching - automatic. # Just change the base URL client = OpenAI( api_key="sk-promptly-...", base_url="https://api.getpromptly.in/v1/" ) # Same code. 60% lower costs. response = client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": "Hello!"}] ) Works with OpenAI, Anthropic, and Gemini. More providers coming soon. pip install promptly-sdk - or just change base_url. One line either way. Every request is optimized automatically. View savings in your dashboard. POST /v1/chat/completions { "model": "gpt-4o", "messages": [ {"role": "user", "content": "What is…from getpromptly.in
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LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
- PPPromptly – Prompt Management Platform for LLM Apps2023 · trypromptly.com · ▲15
We are excited to show Promptly (https://trypromptly.com), a prompt management platform for LLM apps that makes it easy to experiment, share and manage prompts in production. With Promptly, users can: - Try out different prompts and model parameters for various providers - Quickly share prompt snippets together with parameters and generated output. Think of it as CodePen or JSFiddle for prompts - Create high level endpoints on top of provider APIs (Open AI, DreamStudio etc) with templated and versioned prompts - Use built-in caching for endpoints that will help save on Open AI…
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