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[xtsea]

Summary by Sourcery

New Features:

• Introduce a new section in the documentation demonstrating how to achieve super-fast performance using AkenoX-API with FastAPI.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request introduces significant documentation enhancements by adding a new 'Super-Fast Perfomance' section to the README, while also modifying the fasthttp method implementation in the akeno module to be synchronous instead of asynchronous.

Sequence diagram for GET /api/cohere endpoint

sequenceDiagram
  actor User
  participant App as FastAPI App
  participant JS as AkenoXToJs

  User->>App: GET /api/cohere?query=value
  App->>JS: Call js.randydev(parameters...)
  JS-->>App: Return response
  App-->>User: JSON response

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Updated class diagram for AkenoX module

classDiagram
  class AkenoXToJs {
    +request_in : aiohttp
    +get_app(docs_url="/docs", redoc_url=None, **args)
    +fasthttp()  // now synchronous
    +randydev(...)
  }

  note for AkenoXToJs "Changed: fasthttp() is now a synchronous method returning the request_in instance"

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File-Level Changes

Change	Details	Files
Enhanced README.md with a new performance testing section.	Removed an extra newline in the dependencies section. Added a detailed 'Super-Fast Perfomance' section explaining the usage of AkenoX-API with FastAPI and rate limiting recommendations. Included example FastAPI endpoints demonstrating API usage and testing approaches.	README.md
Modified the fasthttp method to return the request_in property synchronously.	Changed the fasthttp function definition from an asynchronous function to a regular synchronous function. Simplified the method by removing the async/await pattern.	akenoai/akeno.py

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[sourcery-ai]

Hey @xtsea - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider adding a disclaimer about the library's stability and support, especially given the warning about potential API blocking.

Here's what I looked at during the review

• 🟡 General issues: 1 issue found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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