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One Agent, Three Frameworks: What Agent Framework, LangGraph and ADK Do When the Model Misbehaves

Posted on November 14, 2026 by Nithin Mohan TK 28 min read

The same agent built with Microsoft Agent Framework, LangGraph and Google ADK twice, sharing two tools and talking to one scripted stand-in model

The same agent and the same two tools built with Microsoft Agent Framework, LangGraph and Google ADK, run against a scripted model that calls missing tools, sends wrong types, repeats a refund and never stops. The defaults differ, and a few lines of configuration bring them into line.

GPT-6 in Codex: Choosing Between Astra, Sol and Luna

Posted on September 26, 2026 by Nithin Mohan TK 28 min read

GPT-6 Astra, Sol and Luna with their list prices and the Codex configuration setting that assigns each one: review model, default model and subagent model

GPT-6 Astra, Sol and Luna are all in Codex and differ in price by a factor of a hundred. What has been published about them, what an agent session costs under the new caching and long-context rules, and what Codex CLI actually sends when each kind of work is given its own model.

GPT-5.2-Codex: 400K Context, Image Input and Microsoft Foundry

Posted on February 1, 2026 by Nithin Mohan TK 21 min read

A 400,000-token context window divided into instructions, repository files, the question and image, and room for reasoning and the answer, with three rules for prompt order

What OpenAI, Microsoft and GitHub have published about GPT-5.2-Codex, with sources, and what the 400,000-token window means in practice: how much code fits, what a session costs, and how prompt order decides whether caching applies.