Cozy API

Created By
jehrhardta year ago
Let AI agents interact with your API
Overview

What is Cozy API?

Cozy API allows AI agents to interact seamlessly with your API, enabling enhanced automation and integration capabilities.

How to use Cozy API?

To use Cozy API, first install the prerequisites including Rust and mise. Then, run the application locally using the provided commands to set up and start the server.

Key features of Cozy API?

  • Enables AI agents to communicate with APIs.
  • Supports local development and testing.
  • Built with Rust for performance and reliability.

Use cases of Cozy API?

  1. Automating API interactions for data retrieval.
  2. Integrating AI functionalities into existing applications.
  3. Testing API endpoints with AI-driven requests.

FAQ from Cozy API?

  • What programming language is Cozy API built with?

Cozy API is built using Rust, ensuring high performance and safety.

  • Is there a license for Cozy API?

Yes, Cozy API is licensed under the Apache-2.0 license.

  • How can I contribute to Cozy API?

You can contribute by visiting the GitHub repository and following the contribution guidelines.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
jehrhardt
Star
1
Language
Python
License
Apache-2.0 license
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//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

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