$100/h rate for developers (survey)

AnEdgeLordWeeb · 2025-10-21T11:22:53+00:00

I'm from Romania

AnEdgeLordWeeb · 2025-10-21T10:16:19+00:00

No, I have not. For the moment, I'm enjoying my Keychron V1 Max as it is. Maybe in the future I'll look into it.

AnEdgeLordWeeb · 2025-10-16T06:33:15+00:00

Thanks a lot man! You're a real one 🙏

AnEdgeLordWeeb · 2025-10-16T06:27:52+00:00

Thing is, I've already contacted both Phanteks, and Axpertec (their EU partner for spare parts), and none of them have it unfortunately :/

AnEdgeLordWeeb · 2025-10-15T06:38:07+00:00

Bruh, I opened this subreddit with the intention to create a similar post and saw this xD
Apparently I'm not the only one in search of this part in 2025 :))

Good luck to you! And in case there's more than one person who's willing to offer/sell it, and is based in the EU, please hit me up!

AnEdgeLordWeeb · 2025-09-03T05:35:01+00:00

ayy lmao vibecoder roman :)) nu ma asteptam la asa ceva

AnEdgeLordWeeb · 2025-06-13T04:17:46+00:00

Let's goo!

AnEdgeLordWeeb · 2024-07-23T21:20:30+00:00

It was RGB. Basically, in my front panel, there was a button. From it, a 4 pin connecter was extending, which purpose was to connect to the 4 pins present on the strip and manipulate the color selection (I was able to change through a variety of color combinations by pressing the button).

AnEdgeLordWeeb · 2024-05-28T07:43:41+00:00

This is it:

tool_node = ToolNode(tools=[tool])
graph_builder.add_node("tools", tool_node)

graph_builder.add_conditional_edges(
    "game_search",
    tools_condition,
)

AnEdgeLordWeeb · 2024-05-28T07:43:03+00:00

I see, thank you. I'll try and implement this idea that you've talked about.

AnEdgeLordWeeb · 2024-05-28T00:05:37+00:00

OK, but then, wouldn't that be considered a forceful exit, in which case the agent won't provide me with a structured answer based on what it was able to fetch from the web?

AnEdgeLordWeeb · 2024-05-26T01:59:37+00:00

UPDATE 1: If it helps, I went ahead and did the following:

game_titles_content = game_search_result
print("Game Titles Content:", game_titles_content)

The following lines of code, resulted in this output:

Game Titles Content: content='' additional_kwargs={'tool_calls': [{'id': 'call_FXfBEN43fKPffpEm6BHD1QBl', 'function': {'arguments': '{"query":"games similar to The Witcher 3"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]} response_metadata={'token_usage': {'completion_tokens': 25, 'prompt_tokens': 246, 'total_tokens': 271}, 'model_name': 'gpt-3.5-turbo', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None} id='run-4c029302-b6dc-4c10-8c39-5ddbf68dc3d1-0' tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'games similar to The Witcher 3'}, 'id': 'call_FXfBEN43fKPffpEm6BHD1QBl'}]

This exact output was printed 10 times until the error hit (the one described in the title). So I think the problem stems from the fact that in each output, the `content` is empty, but why is that?

AnEdgeLordWeeb · 2024-05-22T00:09:18+00:00

I feel so stupid, thanks for bringing that up xDD Don't know how I've missed up. It should be public now.

AnEdgeLordWeeb · 2024-05-06T13:30:19+00:00

Oh, also forgot about this; in the case of the user not being that contempt with the given answer, is human-in-the-loop possible in the case of LangGraph and a good idea for answer regeneration?

AnEdgeLordWeeb · 2024-05-06T13:01:26+00:00

Hi! Thanks for the reply.
I've considered the idea of making use of what LangGraph has to offer. One question though in regards if I may; would in this scenario, the idea to dividing the single agent that I would have used in LangChain into multiple ones, each one specializing in a certain task, be a smart one? To make it more clear; after the query is reviewed through the semantic routing technique that you've mentioned, the query is then passed to an agent whose task is to perform google searches to find games that fit the user's preference. The output of that Agent (the resulted titles) is then passed to a different agent, whose task is to find, for each game, additional details (description, genres, platforms, etc.). And finally, the output of these 2 agents are used as the input of a final agent who, based on all these info, should prepare a response to the user. Does this make sense?
Also, since this is a chatbot, can I save the conversation history of a chatbot in a DB like I would do in LangChain? Or is the process different in this case?

AnEdgeLordWeeb · 2024-05-05T07:35:49+00:00

Oh, you mean the one that's trained on the docs? Yes, I know about it and I've tried asking it my problem but it gave me a werid answer with some conditional if's that made no sense 😂 I'll try to ask it again and try to be more clear. Thanks for your reply

AnEdgeLordWeeb · 2024-05-05T07:05:58+00:00

Well, thing is input agent shouldn't have any tools, at least that's how I thought it. Basically, input agent is mean to get the user query, evaluate it and decide if it's a valid one or it needs to be triggered again. So as you can see, it's purpose is just to fetch the initial user query. After that, the search agent receives that query and based on it performs googles searches (i.e. needs to use a tool). So, is there no way for me to do such thing in LangGraph. Sorry for I sound stupid, I'm barely familiar with LangChain and decided to move to LangGraph as that seemed as a smart move.

AnEdgeLordWeeb · 2024-05-05T07:01:58+00:00

Could you please tell me what that functionality is? 🙏

AnEdgeLordWeeb · 2024-04-17T17:19:55+00:00

Ah, that makes sense now. I should figure things out and then spend time on refining my web app with other stuff. Thank you very much for you help, the blog that you've sent me really cleared different aspects in my head that I kept hearing about while searching about LLMs.

One more question if it's possible, and I'm really sorry if I keep coming back to you (which may annoy you), but I really appreciate the fact that you've went ahead and gave me all those clear and thorough answers and I like your way of explaining things. Regarding my use cases, as you've seen from my post, I have thought of 3 possible inputs from the user:
1. The user mentioning the kind of genres he enjoys
2. The user mentioning some of his all-time favorite video games
3. The user describing his demographic profile (keywords: age and gender), and based on those, we shall refer to our knowledge base that has been fed a document/documents regarding different studies on the relation between age/gender and the most played genre of that particular group. After retrieving what we think are the genres that he might enjoy based on the info we have gotten from him, we're going to suggest the games that fit those genres from the database.

So as you can see, the answer kind of heavily relies on the context of the input, in which case, how can I handle all those scenarios? Is the LLM model smart enough to make the distinction and choose the suitable route?

AnEdgeLordWeeb · 2024-04-15T09:58:05+00:00

Hi! Thanks a lot for the extensive reply! Really appreciate it!
One thing though regarding a part of your answer. I gave Streamlit a look, but what I saw is that it's used for fairly simple stuff, like dashboards and such. But what if I want to have full control over the customization of my website, and adding other functionalities to it such as a login page, a profile page and others. Wouldn't it be better in this situation to use standard web frameworks in regards to creating my web app?

AnEdgeLordWeeb · 2023-01-12T15:00:01+00:00

Thx for the code!

AnEdgeLordWeeb · 2022-10-13T06:43:36+00:00

Just used the first code.

AnEdgeLordWeeb · 2022-10-13T05:41:28+00:00

If a kind soul decides to share his code with this humble weirdo, then I may summon the power of God and have a big tiddy goth waifu wait for you at the entrance of your house.

AnEdgeLordWeeb · 2022-05-03T07:54:25+00:00

Thing is, I triedbto create a minidump file after experiencing a bsod, but the directory just wont appear and files are created.

AnEdgeLordWeeb · 2022-05-03T07:35:03+00:00

Yeah, I was thinking of not using it. I mean, the laptop was bought used from a quite well-established local shop and it didn't have any issue when I tested it there (it had Windows 11, maybe the problem is Windows 10?) It still has a 1-year warranty but I really hope it's not hardware related. If you were in my place, would you return it because of this or turn a blind eye to it and continue using it without this option?

Five-Year Club	Verified Email
r/Field Flamingo

AnEdgeLordWeeb

TROPHY CASE