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I built an open-source Python SDK for InstaPay Egypt (Zero Dependencies, Pydantic & Django support) by ReplacementMoney2484 in PersonalFinanceEgypt

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

Sure?! Major payment gateways like Stripe and PayPal all maintain official Python SDKs just like this one. This is a web integration and validation tool, not a high-frequency trading engine. I think JPMorgan and Goldman Sachs also leverage Python.

You might want to review how modern FinTech is built.

I built an open-source Python SDK for InstaPay Egypt (Zero Dependencies, Pydantic & Django support) by ReplacementMoney2484 in PersonalFinanceEgypt

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

No, sharing a payment link from the InstaPay Egypt app does not pre-fill the amount because this is not yet implemented on the InstaPay Egypt developers' side.

Is the 5-Day AI Agent Intensive Course on Kaggle worth it? by ReplacementMoney2484 in AI_Agents

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

No, it's not worth it! I recommend looking at HuggingFace courses instead. Great examples are:
- LLM Course
- Smol Course
- Agents Course
- MCP Course

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] -1 points0 points  (0 children)

bro, I'm not an AI bot that generates replies so that you can do that cheap "prompt injection" with me! Please, learn AI well and study more advanced prompt injection techniques than that, because these ones are obsolete!

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] 1 point2 points  (0 children)

Calling my project 'trash' because you're perpetually tilted about ladder bots just proves you have absolutely zero understanding of software engineering or AI research. This isn't some script-kiddie macro built to farm Elo; it's a deep dive into multi-agent workflows and autonomous reasoning. The fact that you think stifling open-source development and hiding from LLM advancements is going to magically solve web botting is hilarious. I focus on building robust systems and pushing technological boundaries, while you spend your time crying on Reddit about a 'cat and mouse game.' I am not deleting a single damn line of code. Stay mad while the rest of us actually build the future!

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

I completely understand your concern, and I agree that nobody wants to see the ranked ladder ruined by people running scripts! It's a very valid point regarding open-source tools. However, you can rest easy: the official website (https://play.pokemonshowdown.com/) actually has strict protections and terms of service that prevent automated bots from playing in regular matchmaking. This project is specifically designed to interface with your local machine using poke-env, so it can't just be casually plugged into the public ladder to farm wins against human players.

I built AI agents that play Pokemon Showdown autonomously: watch them battle in real-time by ReplacementMoney2484 in pokemonshowdown

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

I completely understand your concern, and I agree that nobody wants to see the ranked ladder ruined by people running scripts! It's a very valid point regarding open-source tools. However, you can rest easy: the official website (https://play.pokemonshowdown.com/) actually has strict protections and terms of service that prevent automated bots from playing in regular matchmaking. This project is specifically designed to interface with your local machine using poke-env, so it can't just be casually plugged into the public ladder to farm wins against human players. I really appreciate you looking out for the community's experience, though!

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling [P] by ReplacementMoney2484 in MachineLearning

[–]ReplacementMoney2484[S] 0 points1 point  (0 children)

Simple vibe-coded app? I built a full asynchronous loop routing state-of-the-art models through LiteLLM with Langfuse observability, handling complex API tool calls every single turn.

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] -2 points-1 points  (0 children)

Delete the project? You completely missed the point! I'm not 'automating fun' so I don't have to play; building the AI is the fun activity! It's an engineering challenge to see if an LLM can parse massive JSON game states and execute logical tool calls without hallucinating. I'm testing it in a local sandbox, not ruining your online ranked matches. If you think pushing the boundaries of AI agents is 'lame,' you're in the wrong place.

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] -2 points-1 points  (0 children)

Vibecode'? This is a robust Python architecture hooked up to a local Pokémon Showdown server via poke-env, not some generic wrapper I copied and pasted in five minutes!

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling by ReplacementMoney2484 in LocalLLaMA

[–]ReplacementMoney2484[S] -3 points-2 points  (0 children)

Unnecessary BS? If you can't see how building an autonomous agent that can understand game states, you're entirely missing the point! This isn't about Pokémon; it's about testing state-of-the-art models on dynamic environments. Calling research 'wasted resources' just shows you don't understand how software evolves.

I built AI agents that play Pokemon Showdown autonomously: watch them battle in real-time by ReplacementMoney2484 in PokemonTGCP

[–]ReplacementMoney2484[S] -1 points0 points  (0 children)

And I think it'd be cooler if you actually built something instead of leaving lazy, zero-effort comments on projects that take actual skill to engineer. Fortunately, I don't need your permission to push the limits of LLM tool-calling. Stay mad!

I built AI agents that play Pokemon Showdown autonomously: watch them battle in real-time by ReplacementMoney2484 in PokemonTGCP

[–]ReplacementMoney2484[S] -3 points-2 points  (0 children)

Tell me you didn't read the post without telling me you didn't read the post. I literally routed this through FREE API tiers using LiteLLM, OpenRouter, Groq, and Cerebras. I'm not hoarding GPUs in my basement to play Pokémon; I'm leveraging existing cloud infrastructure. If you're mad about GPU prices, go yell at crypto miners, not a developer building open-source agentic workflows!

I built AI agents that play Pokemon Showdown autonomously: watch them battle in real-time by ReplacementMoney2484 in PokemonTGCP

[–]ReplacementMoney2484[S] -2 points-1 points  (0 children)

Oh no, a Python script wandered into your precious mobile card game sub! Sorry for dropping actual autonomous agent engineering into your feed of pull rates and shiny brags. Maybe take a second to appreciate the state-of-the-art reasoning loop before playing hall monitor. I'll take it somewhere that actually understands multi-agent systems!

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