[
    {
        "role": "user",
        "content": "I%20use%20emacs%20daily%20with%20packages%20gptel%20and%20agent-shell-anthropic.%20gptel%20uses%20chatgpt%20and%20anthropic%20uses%20sonnet%204.6%2C%20which%20is%20all%20fine"
    },
    {
        "role": "assistant",
        "content": "That sounds like a solid, modern Emacs LLM setup! Since you use **gptel** (via ChatGPT) and **agent-shell-anthropic** (using Claude Sonnet 4.6), here\u2019s a breakdown of where things stand now, what each tool provides, and how they can work well together (or where you might bump up against limitations).\n\n---\n\n## \ud83d\udd0d What you\u2019ve got\n\n### Claude Sonnet 4.6 (Anthropic)\n\n- Sonnet 4.6 was released **February 17, 2026**. It\u2019s now the **default model** for both Free and Pro users on Claude.ai / Claude Cowork. ([anthropic.com](https://www.anthropic.com/research/claude-sonnet-4-6?utm_source=openai))  \n- Improvements: better coding, extended and more capable \u201ccomputer use,\u201d long-context reasoning (with a 1M token context window in beta), more cost-efficient than older models (same pricing as Sonnet 4.5) but with performance pushing into Opus-level territory. ([anthropic.com](https://www.anthropic.com/research/claude-sonnet-4-6?utm_source=openai))  \n\n### gptel (in Emacs)\n\n- Version ~ **0.9.8.5** (as of Dec 31, 2024) is \u201cstable,\u201d with dev branch toward 0.9.9. ([gptel.org](https://gptel.org/manual.html?utm_source=openai))  \n- It\u2019s a general LLM client: supports multiple LLM backends (OpenAI, Anthropic, Gemini, etc.), has a flexible directive system, lets you send/prompts from any buffer, include files/media in context, share buffers or regions in context, do rewriting/refactoring, and agentic flows (with \u201ctool-use\u201d and related interface components) if you enable them. ([gptel.org](https://gptel.org/manual.html?utm_source=openai))  \n\n---\n\n## \ud83d\udd27 How they interact, and what that enables\n\nUsing these together gives you significant agentic capability directly inside Emacs:\n\n- With **agent-shell-anthropic**, you can run workflows or tasks that use Claude Sonnet 4.6\u2019s capabilities. (I assume agent-shell-anthropic is something like an Emacs package/glue to run agentic tasks using the Anthropic API?)  \n- gptel\u2019s \u201ctool-use\u201d functionality brings command/agent workflows inside buffers: you can send context, execute commands, fetch files, etc. It's especially useful when paired with a powerful model like Sonnet 4.6. ([gptel.org](https://gptel.org/manual.html?utm_source=openai))  \n- The 1M token context window (in beta) gives Sonnet 4.6 a chance to \u201csee\u201d much more context in a single query\u2014good for letting your agent workflows or large projects persist context over many files. ([anthropic.com](https://www.anthropic.com/research/claude-sonnet-4-6?utm_source=openai))  \n\n---\n\n## \u26a0\ufe0f Potential limitations and things to watch\n\nEven though your setup is powerful, there are a few things to keep an eye on to avoid surprises.\n\n1. **Beta features**  \n   - The 1M token context window is still in beta, which means there may be less polish, occasional performance issues, or unexpected behavior with very large prompts. ([anthropic.com](https://www.anthropic.com/research/claude-sonnet-4-6?utm_source=openai))  \n\n2. **Cost vs. performance trade-offs**  \n   - While Sonnet 4.6 hits much better performance, if you push into very deep reasoning over large contexts, there *may* still be tasks where Opus models outperform. If you repeatedly need those, you might need to consider toggling models depending on task. ([anthropic.com](https://www.anthropic.com/news/claude-sonnet-4-6?id=19234&utm_source=openai))  \n\n3. **Latency and resource use**  \n   - Big contexts mean more tokens sent, more processing. If interacting inside Emacs over API with huge buffers or many files, you might hit latency or rate/resource lags.\n\n4. **Tool-use and agent orchestration complexity**  \n   - gptel does *support* tools and agentic workflows. But many tools are user-added or experimental. Orchestration across multiple agents or large pipelines might require extra setup (e.g. handling states, ensuring context preservation, separating tools, etc.). ([reddit.com](https://www.reddit.com/r/emacs/comments/1hqyuvn?utm_source=openai))  \n\n5. **Prompting discipline**  \n   - To get best results, with LLMs of this power and context window, writing good instructions, maintaining relevant context, summarizing or \u201ccompacting\u201d old context (if Sonnet 4.6\u2019s context compaction features are available) will pay off. Plain dumping of huge buffers might degrade performance. ([anthropic.com](https://www.anthropic.com/news/claude-sonnet-4-6?id=19234&utm_source=openai))  \n\n---\n\n## \ud83d\udca1 Tips to get even more out of it\n\nHere are some practical tips to optimize what you\u2019ve got:\n\n- Use **context compaction** (if enabled or available via API) to summarize older conversation/content so that new inputs stay fresh and within limits. Sonnet 4.6 supports this. ([anthropic.com](https://www.anthropic.com/news/claude-sonnet-4-6?id=19234&utm_source=openai))  \n- Keep prompt directives or system messages well-scoped; for Emacs workflows, define reusable directives (system messages) or templates so you don\u2019t have to retype role or behavior each time. gptel already supports custom system messages and such. ([gptel.org](https://gptel.org/manual.html?utm_source=openai))  \n- Make use of gptel\u2019s \u201cadd file or buffer to context\u201d features: e.g. when editing code, you can add related files for better reference. Avoid duplicating content over and over. ([gptel.org](https://gptel.org/manual.html?utm_source=openai))  \n- If using agent workflows, partition tasks: use separate agents or flows for planning, execution, refactoring, etc. Let Sonnet 4.6 shine in reasoning and task chaining rather than forcing one agent to do everything.  \n- Monitor API usage/tokens so you don\u2019t accidentally run up a large bill or hit quotas, especially as you increase context size.\n\n---\n\nIf you want, I can help you check for any specific package conflicts, tuning the config (e.g. model parameters inside Emacs), or writing a setup that dynamically picks between ChatGPT vs Claude Sonnet depending on task. Do you want me to walk you through that?"
    }
]