Tag
17 posts tagged.
Agent frameworks build the request for you, then show you a summary of it. Here is a 60-line local server that records the exact JSON body your SDK sends, with no API key, no proxy and no certificate, plus the CI assertion a proxy cannot give you.
npm error notarget No matching version found for @anthropic-ai/sdk means you asked for a major that does not exist. Anthropic ships two SDKs on unrelated version lines: Python is on 1.5.0, npm has never left 0.x. Read from both registries, with the caret trap that follows.
TypeError: Invalid http_client argument means the anthropic Python SDK moved to httpx2 in 1.0.0. The rename is one import. The parts nobody mentions are that the guard printing that message only exists from 1.4.0, and that it cannot see your respx or OpenTelemetry layer at all (2026).
The evaluator-optimizer workflow puts a rubric-driven critic in the loop so a generator revises until it passes. A runnable Python build with real guardrails.
Run independent LLM calls at the same time in Python with asyncio.gather, cap them with a Semaphore, and survive 429 rate limits with backoff. Runnable code.
Build the orchestrator-workers agent pattern in Python with Claude: a planner that decides subtasks at runtime, parallel workers, and a synthesizer. Runnable code, July 2026.
A code-first routing tutorial: build a runnable LLM router in Python with the Claude API, add a deterministic fallback, and route by difficulty to cut cost.
A code-first prompt chaining tutorial: build a gated Python pipeline with the Claude API, add pure-Python and LLM gates, and fail fast before wasting tokens.
You cannot unit-test an agent like a pure function. Build a two-layer pytest harness: deterministic tool-call assertions plus an LLM-as-judge grader, a frozen eval dataset, and a CI gate. Runnable Python, no eval framework required.
Five reusable agentic workflow patterns, built from scratch in Python with runnable code and a start-simple rule.
The five parts every AI agent has, a runnable Python example in about 40 lines, and an honest guide to the guardrails and framework choices most tutorials skip.
A runnable 2026 tutorial: build short-term and long-term memory for a Claude agent in TypeScript with message buffers, rolling summaries, and a durable fact store. No vector database required.
