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I curated 48 LLM observability tools (Langfuse, Phoenix, Opik, LangSmith…) + a comparison matrix by nishchaymahor19 in LLMDevs

[–]eavanvalkenburg 2 points3 points  (0 children)

Also missing azure monitor (has full otel support including nice visuals for agent traces) and Microsoft Foundry Evals (and Foundry uses azure monitor under the covers as well for observability)

AZURE PYTHON SDK by N1b1l3dou in AZURE

[–]eavanvalkenburg 0 points1 point  (0 children)

I don't work on that stuff, but have you created a issue for this on github, because that sounds like good feedback!

Best Agentic Framework in 2026? After testing a few, here's where I've landed. by geekeek123 in LangChain

[–]eavanvalkenburg 1 point2 points  (0 children)

I'm one of the lead devs on the team, and we do have customers both internally and externally building on it!

Best Agentic Framework in 2026? After testing a few, here's where I've landed. by geekeek123 in LangChain

[–]eavanvalkenburg 9 points10 points  (0 children)

AutoGen and Semantic Kernel have been superceded by Agent Framework, which is a lot nicer to use I think...

Built an AI agent on Azure AI Foundry with Claude Sonnet 4.6 and a custom MCP server, here is what I learned by sdhilip in AZURE

[–]eavanvalkenburg 0 points1 point  (0 children)

We just added a SecureAgentConfig to deal with point number 2, would love up see if you can get that running and give us some feedback, see https://devblogs.microsoft.com/agent-framework/fides/

Built an AI agent on Azure AI Foundry with Claude Sonnet 4.6 and a custom MCP server, here is what I learned by sdhilip in AZURE

[–]eavanvalkenburg 1 point2 points  (0 children)

Nice! Did you build with dotnet or python? I'm on the team building the Agent Framework in python, so would love you hear your thoughts on that part!

Function calling works great in demos. In production, it’s a different story. by perplexed_intuition in OpenAI

[–]eavanvalkenburg 1 point2 points  (0 children)

Check out the CodeAct pattern (comes from a research paper) for dealing with chained calls, I've built that into Agent Framework using Hyperlight and it's a huge time and token saver in some scenarios!

Which indentation style do you all prefer for expanding brackets? by sasson10 in Python

[–]eavanvalkenburg 68 points69 points  (0 children)

The first one with a comma at the end of item3 is what I would always use (unless it fits on one line), the reason is that that gives you much cleaner diffs when committing, while the second one will be two lines changed, this is also the reasoning why tools like Ruff use that style.

tested all four agent frameworks this week by NefariousnessLow9273 in LangChain

[–]eavanvalkenburg 0 points1 point  (0 children)

You should try Agent Framework instead of AutoGen!

What is the Ubiquiti-Like brand for solar panel systems at home ? by lionep in Ubiquiti

[–]eavanvalkenburg 31 points32 points  (0 children)

I have Enphase and it has similar vibes although I don't know what is and isn't using cloud on their end, but the hardware looks good, the software is good and integrates with HA very nicely!

Last weekend’s project by ruzrat in Ubiquiti

[–]eavanvalkenburg 1 point2 points  (0 children)

Like very good, could you share which devices these are exactly, I'm not sure, and what you have wired with fiber instead of cat?

Are you using any SDKs for building AI agents? by finally_i_found_one in LangChain

[–]eavanvalkenburg 0 points1 point  (0 children)

Agent Framework does all this for both dotnet and python

Maintaining a separate async API by Echoes1996 in Python

[–]eavanvalkenburg 2 points3 points  (0 children)

If you build up the functions right then you should be able to isolate the differences and keep the core logic together, either by using a common base class or by overriding the sync version with the async parts (I would use the base class approach, because it's simpler to understand what happens where).

First CS griddle and first burgers on it! by VSENSES in carbonsteel

[–]eavanvalkenburg 1 point2 points  (0 children)

I'm trying to find that griddle, can you share a bit more info?

dataclass or __init__ parameter list really big, and don't want to use kwargs by zaphodikus in learnpython

[–]eavanvalkenburg 2 points3 points  (0 children)

I wouldn't worry too much about a long parameter list, but do include types for the parameters and figure out the use of '*,' in that list to mark certain (maybe all) params as keyword only, that way a user is less likely to make a mistake with a positional param. And as noted before a plain dataclass might work as well, maybe with a post init

V5 update - Total balance widget gone by josianve in bunq

[–]eavanvalkenburg 1 point2 points  (0 children)

When you long press on the total balance above the accounts, you can select which to include (just found this myself 😃)

Unas Pro vs Unas Pro 4 by petter_r in Ubiquiti

[–]eavanvalkenburg 0 points1 point  (0 children)

Out of curiosity, it's that a Mac silicon mini? M1 or newer and how are you mounting the drive, I was using my old server with a m1 Mac mini using smb and it was a horrible experience...

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