Monthly Archives: September 2026

AI: LLMs, Agents, Work, and Us – Engineers. Personal Thoughts.
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30 September 2026

A very random text. Wasn’t planned at all, and there aren’t that many posts like this on this blog, but sometimes something “clicks in my head” (while there’s still something there to click) – and a thought takes shape that I want to express in a text like this, to save it. “Agentic development is… Read More: AI: LLMs, Agents, Work, and Us – Engineers. Personal Thoughts.0… »

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AI: LLM Spend Control with LiteLLM Budgets and OpenAI Limits
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24 September 2026

The main goal we had when introducing LiteLLM AI Gateway on the project (see LiteLLM: AI Gateway for LLMs – features overview) was access and cost control, because right now we can’t enable auto-recharge for our OpenAI or OpenRouter account: our startup is still in the development and experimentation stage, developers actively use AI agents… Read More: AI: LLM Spend Control with LiteLLM Budgets and OpenAI Limits0… »

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LiteLLM: Debugging AI Cost Monitoring with VictoriaMetrics
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16 September 2026

Had a pretty interesting case with monitoring LLM costs through LiteLLM when using multiple providers. What we have: LiteLLM: AI Gateway, all our services work through it, it proxies requests to providers, generates metrics and traces, controls access, spending, etc. OpenAI and OpenRouter: currently the two main providers LiteLLM sends requests to some clients (our… Read More: LiteLLM: Debugging AI Cost Monitoring with VictoriaMetrics5 (1) »

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LiteLLM: Custom Callbacks and LLM Evaluations with Judge LLM
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11 September 2026

A quick recap of what we are doing on the project right now: we have a separate hardware server (hostname == “Matrix”), where we run our own self-hosted models with llama.cpp. In our Kubernetes cluster we have a LiteLLM AI Gateway for our clients – Backend API and other project services. Clients send their OpenAI/Anthropic/OpenRouter… Read More: LiteLLM: Custom Callbacks and LLM Evaluations with Judge LLM0 (0) »

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LiteLLM: Custom Callback for Traffic Mirroring and OTel Tracing to VictoriaTraces
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9 September 2026

We’re currently setting up our own hardware server where we want to run self-hosted models. But we can’t just switch client traffic to them right away – first we need to see how these self-hosted LLMs will actually perform. So the general idea for now is to keep sending traffic to the primary provider, OpenAI… Read More: LiteLLM: Custom Callback for Traffic Mirroring and OTel Tracing to… »

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