Agent Trajectory Monitor: Watching Tool Calls and Token Spend in Real Time

Agent Trajectory Monitor: Watching Tool Calls and Token Spend in Real Time

An agent trajectory monitor watches the full sequence of steps, tool calls, decisions, and token spend an AI agent makes in real time — not just the final answer. Because AI agents consume 5-30x more tokens per task than standard chatbots, real-time trajectory monitoring has moved from a nice-to-have to a budget requirement. It lets you see whether your agent is doing the right work or just getting the right answer by chance. ...

August 20, 2026 · 11 min · baeseokjae
TencentCloud AgentObs SDK for DeepSeek Harness

TencentCloud AgentObs SDK for DeepSeek Harness: Zero-Collector GenAI Trace Observability

DeepSeek Harness observability usually means standing up an OpenTelemetry collector, a tracing backend, and code instrumentation. The TencentCloud AgentObs SDK for DSH eliminates all of that: it is a DeepSeek Harness plugin that observes the harness’s native session, agent-loop, LLM-stream, and tool lifecycles and uploads GenAI trace spans directly to Tencent Cloud Log Service (CLS) using Protobuf. There is no OTLP collector, no sidecar, and no extra service to deploy. If you already run agents on Tencent Cloud, this is the fastest path from “where did my agent spend its tokens?” to a dashboards-and-alerts answer. ...

August 20, 2026 · 11 min · baeseokjae
AI Agent Architecture Tutorial: The Complete 20-Chapter Guide

AI Agent Architecture Tutorial: The Complete 20-Chapter Guide

An AI agent architecture is the structural design that lets an LLM observe its environment, reason about a goal, and act on it by calling tools in a repeating loop. In this 20-chapter tutorial you will move from the fundamentals—what an agent is and how the Observe-Reason-Act loop works—through the core building blocks, the five workflow patterns and three agent patterns, hands-on Python code, memory, tool integration, framework comparisons, and production concerns such as evaluation, security, and emerging standards like MCP. By the end you will know exactly when to use a workflow, when to use a full agent, and how to design and ship a reliable agentic system. ...

August 20, 2026 · 16 min · baeseokjae
Machine0 VMs Review: Persistent CPU and GPU VMs From the CLI

Machine0 VMs Review: Persistent CPU and GPU VMs From the CLI

Machine0 is a Y Combinator Summer 2026 startup that gives you persistent CPU and GPU virtual machines controlled entirely from the command line. Unlike ephemeral serverless sandboxes such as Modal or E2B, every Machine0 VM is a full machine you own—with root access, your own drivers and CUDA stack, a static public IP, an HTTPS endpoint, and per-minute billing that stops the moment you suspend it. What Is Machine0? Persistent CPU & GPU VMs for Agents Machine0 markets itself as an “agent-first cloud.” Instead of renting a server through a web console or juggling Terraform files, you provision, manage, and destroy virtual machines entirely through CLI commands, each of which supports a --json output flag for scripting and agent orchestration. The core pitch is that this is not a sandbox: it is a persistent virtual machine that an AI agent (or a human developer) actually owns. ...

August 19, 2026 · 11 min · baeseokjae
Code Agent Learning: A Practical Code Agent Curriculum

Code Agent Learning: A Practical Code Agent Curriculum That Works

Code agent learning is the fastest way to close the gap between using AI coding tools and actually shipping more with them. The evidence is stark: roughly 93% of developers now report using AI coding tools, yet measured productivity gains remain stuck around 10%. That gap is not a tool problem — it is a skills problem. A structured, project-based code agent curriculum teaches you to move from passive tool use to building, automating, and orchestrating agents that compound your output. ...

August 19, 2026 · 13 min · baeseokjae
LLM Inference Engineering: From KV Cache to PagedAttention

LLM Inference Engineering: From KV Cache to PagedAttention

LLM inference engineering is the discipline of making large language models run fast, cheap, and reliably in production. It centers on two phases — prefill and decode — and on the KV cache, the memory structure that stores attention keys and values. The single biggest win in the field is PagedAttention, which manages the KV cache like an operating system manages virtual memory, cutting memory waste from up to 60–80% down to near zero and boosting serving throughput by up to 24x over naive implementations. ...

August 19, 2026 · 12 min · baeseokjae
Oodle.ai Agent Trace Pricing: $10 per Million Traces, Explained

Oodle.ai Agent Trace Pricing: $10 per Million Traces, Explained

Oodle.ai prices agent trace observability at $10 per million spans, with no sampling, sub-second p99 query latency, and 100% of traces analyzed. That is roughly 8x cheaper than Langfuse’s base tier ($80 per million units) and far below the per-seat-plus-storage model LangSmith uses. The company processed 120 million agent traces in the last month, and its founder reports Langfuse was 6x more expensive for their own observability workload. This review explains how Oodle achieves that price, whether it is genuinely cheap, and who should adopt it. ...

August 18, 2026 · 9 min · baeseokjae
Costrict Proxy review — turning a Costrict account quota into API keys for AI agents

Costrict Proxy Review: Turning a Costrict Account Quota into API Keys for AI Agents

Costrict Proxy is a self-hosted, OpenAI-compatible gateway that converts a single Costrict account subscription quota into reusable API keys, letting multiple AI agents and clients share one account. Built on CLIProxyAPI v7 and running on port 8317 by default, it exposes standard /v1/models and /v1/chat/completions endpoints with a serialized request queue and automatic token refresh. It is the most direct answer to the “one Costrict account, many agents” problem. What is Costrict Proxy? Costrict Proxy is an open-source gateway that sits between your Costrict account and the AI tools that consume it. Instead of giving every agent its own Costrict subscription — which is expensive and hard to manage — you run one instance of Costrict Proxy, connect it to a single Costrict account, and let it expose that account’s quota as standard API keys. ...

August 18, 2026 · 12 min · baeseokjae
Anthropic IPO Valuation Hinges on $190-200B 2028 Revenue Forecast

Anthropic IPO Valuation Hinges on $190-200B 2028 Revenue Forecast

Anthropic’s IPO valuation hinges on a projected $190-200 billion in annual revenue by 2028, more than four times its $47 billion run rate disclosed in May 2026. Bankers and investors are applying enterprise value-to-revenue multiples two years out, a highly unusual approach that reflects how hard it is to value an AI company spending heavily on compute, model development, and hiring. Whether that forecast is credible or a stretch is the central question every prospective investor must answer. ...

August 18, 2026 · 11 min · baeseokjae
dsh whale meter: Token Usage Tiers and Cost Dashboard for DSH

dsh whale meter tokens: Track DeepSeek Harness Token Usage & Cost Tiers

dsh-whale-meter is a one-line-install, zero-configuration plugin for DeepSeek Harness (DSH) that turns your raw token usage into five gamified tiers — from 🐟 small fry to 🐳 blue whale — and estimates your spend in CNY or USD, all stored locally on your machine with no telemetry and no network calls. It went from a nice-to-have to a budgeting necessity on August 17, 2026, when DeepSeek raised v4-flash and v4-pro prices and introduced peak/off-peak billing. This guide explains exactly what it tracks, how the new pricing works, and whether it beats the alternative cost-tracking tools. ...

August 17, 2026 · 9 min · baeseokjae