AI Devtools Radar

Issue #12 · Nov 8, 2026 · Sep 28 – Nov 8

Claude Sonnet 5.5 and Haiku 5.5 break old request shapes, Copilot retires six models, Kimi K2 and Opus 4.8 fast mode get end dates

This issue covers six weeks instead of one, because the weekly run paused after issue 11. Over that window the radar watched 63 sources across 32 tools and published 159 changes; these are the thirteen worth your attention, ranked. Thirteen is our ceiling, so a few real launches, Cursor's in-editor app deployment among them, sit just outside the list. The first five each come with a deadline or a hard break, so start at the top. Every item carries the before/after evidence the pipeline captured; expand it before you take our word.

  1. Sonnet 5.5 is now the default Sonnet on the Anthropic API, with a 1M context window at $2/$10 per million tokens and $0.20 cache reads, and code written for Sonnet 5 can break in five ways. To skip up-front thinking, send thinking: {"type": "between_tools"} instead of "disabled", which applies at high effort or below. tool_choice types any and tool return 400, the older computer_20251124 tool is rejected on the Claude API and Google Cloud, thinking blocks are tied to the model and the conversation, and the advisor tool no longer accepts Opus 4.8, Opus 4.7 or Sonnet 5 as advisors. Work through all five before you switch models.

    deprecationhigh

    Breaking changes introduced in Claude Sonnet 5.5 affecting code compatibility

    Code written for Claude Sonnet 5 may break on Claude Sonnet 5.5; developers need to migrate. Changes include: thinking behavior modifications, forced tool use returning errors, computer use tool deprecation, and advisor tool restrictions

    Evidence
    +Code written for Claude Sonnet 5 can break on Claude Sonnet 5.5 in five ways. To turn off up-front thinking, send thinking: {"type": "between_tools"} instead of "disabled", at high effort or below. Forced tool use (tool_choice types any and tool) returns a 400 error. Thinking blocks are tied to the model and the conversation. On the Claude API and Google Cloud, the earlier computer_20251124 computer use tool isn't accepted. The advisor tool rejects Claude Opus 4.8, Claude Opus 4.7, and Claude Sonnet 5 as advisors.

    docs.claude.com

  2. Haiku 5.5 becomes the default Haiku on the Anthropic API with a 1M context window, priced at $0.10/$0.50 per million tokens for prompts up to 100K tokens and $0.50/$2.50 above that. Manual extended thinking with budget_tokens now returns 400 and adaptive thinking is on by default, so Haiku 4.5 code that sets a thinking budget fails on its first request. The long-prompt tier costs five times the base rate, which matters if you send large contexts to Haiku because it is the cheap option.

    deprecationhigh

    Claude Haiku 4.5 code breaks on Haiku 5.5; manual extended thinking (budget_tokens) returns 400 error

    Developers using Claude Haiku 4.5 must migrate code to Haiku 5.5, as the new version enables adaptive thinking by default and changes token counting, breaking existing implementations.

    Evidence
    +Code written for Claude Haiku 4.5 can break on Claude Haiku 5.5. Manual extended thinking (budget_tokens) returns a 400 error, and adaptive thinking is on by default.

    docs.claude.com

  3. On October 19 Copilot deprecated six models across chat, inline edits, ask and agent modes and code completions: Gemini 3.7 Flash, GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5 mini and Grok 4.5. The suggested replacements are Gemini 3.8 Flash, GPT-6.1 Sol and GPT-6 Luna. This follows an October 2 round that removed Gemini 3.5 Flash, Gemini 3.6 Flash, Kimi K2.7 Code and Claude Opus 4.7. Enterprise admins need to enable the replacements in model policy, and any workflow that names an old model needs updating.

    deprecationhigh

    Six Copilot models deprecated effective October 19, 2026

    Users must migrate from Gemini 3.7 Flash, GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5 mini, and Grok 4.5 to their suggested alternatives. Enterprises need to update workflows and enable alternative models through model policies.

    Evidence
    +As of today, October 19, 2026, we have deprecated the following models across most GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions). Model | Deprecation date | Suggested alternative Gemini 3.7 Flash | 2026-10-19 | Gemini 3.8 Flash GPT-5.5 | 2026-10-19 | GPT-6.1 Sol GPT-5.4 | 2026-10-19 | GPT-6.1 Sol GPT-5.4 mini | 2026-10-19 | GPT-6 Luna GPT-5 mini | 2026-10-19 | GPT-6 Luna Grok 4.5 | 2026-10-19 | Grok 4.7

    github.blog

  4. Fast mode for Claude Opus 4.8 is deprecated and will be removed on November 30, 2026. After that, requests to claude-opus-4-8 with speed: "fast" return an error, and Anthropic's stated path is Opus 5.5. That leaves about three weeks, and Opus 5.5 has breaking changes of its own (see issue 11), so schedule the migration now rather than at the deadline.

    deprecationhigh

    Fast mode for Claude Opus 4.8 deprecated with removal on November 30, 2026

    Developers using fast mode with claude-opus-4-8 must migrate to Claude Opus 5.5 before November 30, 2026, or their requests will return errors.

    Evidence
    +We've deprecated fast mode for Claude Opus 4.8, with removal on November 30, 2026. After removal, requests to claude-opus-4-8 with speed: "fast" will return an error. To continue using fast mode, migrate to Claude Opus 5.5.

    docs.claude.com

  5. From October 31, 2026, Kimi's K2 series is closed to newly registered users, and all K2 models are scheduled to retire by the end of December 2026. Existing accounts keep working until then. Kimi's docs now point new users to K3.1 Pro, and the K3 series gained a 1,048,576 token context window and Batch API pricing at 60% of the standard rate, so the migration target is cheaper to test than it was.

    deprecationhigh

    K2 series models being deprecated with phased retirement plan

    K2 series will be unavailable to new users starting October 31, 2026, and fully retired by December 31, 2026. Existing users must migrate to newer models.

    Evidence
    +starting October 31, 2026, K2 series models will no longer be available to newly registered users; existing users are not affected. We plan to retire all K2 series models by the end of December 2026, please prepare your migration in advance.

    platform.moonshot.ai · also seen at 1 more source

  6. Supabase CLI v3 is flagged as a breaking change: commands now target the local stack by default and ask for confirmation before changing a hosted project. The scripts to check are the ones that ran against a hosted database without a prompt, because an extra confirmation can stall or abort a non-interactive run. Before you bump the CLI version in CI, read the release notes for how to pass that confirmation non-interactively.

    deprecationhigh

    Supabase CLI v3 changes default behavior to local-first with hosted change confirmation

    Users upgrading to CLI v3 will experience different default behavior requiring explicit confirmation for hosted database changes, potentially breaking existing automation and workflows that relied on direct hosted modifications

    Evidence
    +Breaking Change: Supabase CLI v3 is local by default and confirms hosted changes

    supabase.com

  7. Pinecone Local, the in-memory Docker emulator for development and testing, has reached end of life and its documentation has been removed. Pinecone recommends a separate project in your Pinecone account instead, which means tests that started the container in CI now need network access and credentials. Pinecone also added guidance on mocking its API for tests that should not touch a real project.

    deprecationhigh

    Pinecone Local emulator reaches end of life and is no longer available

    Developers who use Pinecone Local for local development and testing must migrate to using a separate Pinecone project instead. This affects the developer workflow for local development and automated testing.

    Evidence
    −Pinecone Local (local development emulator) — Local development Automated testing with Pinecone Local — Automated testing
    +End of life: Pinecone Local Pinecone Local, the in-memory Docker emulator for local development and testing, has reached end of life and is no longer available. Its documentation has been removed.To develop and test your applications, use a separate project in your Pinecone account.

    docs.pinecone.io

  8. LangChain will drop Python 3.10 in langchain-core 1.8.0 and langchain 1.5.0, which makes the current minor versions the last to support it. Nothing breaks today, but environments on 3.10 will stop receiving new releases once those versions ship. If your runtime image is still on 3.10, move it to 3.11 or later, or pin the current minors until you can.

    deprecationhigh

    Python 3.10 support will be dropped in langchain-core 1.8.0 and langchain 1.5.0

    Users running Python 3.10 must upgrade to Python 3.11 or later before these versions are released to continue using langchain

    Evidence
    +Python 3.10 support will be dropped in langchain-core 1.8.0 and langchain 1.5.0. The current minor versions are the last to support Python 3.10. Please upgrade to Python 3.11 or later.

    github.com

  9. OpenAI-hosted sandbox compute is now billed only during active turns, so idle time between turns no longer costs anything. Long-lived agent sessions that sit waiting on a user or an external event were paying for that wait, and those are the bills that drop. If you built your own teardown logic to avoid idle charges, keeping sessions open may now be the simpler option.

    pricinghigh

    OpenAI-hosted sandbox compute now billed only during active turns, not idle time

    Developers reduce costs by eliminating charges for idle time between turns in Agents API sessions; billing is now more efficient and only covers active computation periods.

    Evidence
    +OpenAI-hosted sandbox compute is now billed during active turns. You no longer pay for idle time between turns.

    platform.openai.com

  10. Existing Vercel Pro teams now pay $0.10 per GB-month for Deployment Storage and Functions Storage, and the retention window moved to 30 days on October 23. Projects with many preview deployments or large function bundles accumulate this without anyone noticing, so check the usage page and prune deployments you no longer need.

    pricinghigh

    Deployment Storage billing begins for existing Pro teams

    Existing Pro teams will now be charged $0.10 per GB-month for Deployment Storage and Functions Storage starting October 23, with retention window moving to 30 days.

    Evidence
    +Deployment Storage billing begins for existing Pro teams Existing Pro teams will pay $0.10 per GB-month for Deployment Storage and Functions Storage, and the retention window moves to 30 days on October 23.

    vercel.com

  11. Mem0 replaced its Hobby, Starter ($19/month), Pro ($249/month) and Enterprise tiers with two plans, Free and Custom. Free gives 10,000 adds and 1,000 retrievals a month for the first 30 days with model calls included, or 50,000 adds and 10,000 retrievals with your own LLM key, and usage past those limits is billed up to a monthly cap you set. Anything beyond that goes through sales, so teams on the old Pro plan should ask what their plan becomes.

    pricinghigh

    Mem0 completely restructured pricing from tiered plans (Hobby/Starter/Pro/Enterprise) to Free + Custom model

    All customers must migrate from named tier subscriptions (Hobby, Starter, Pro, Enterprise) to either a free tier with usage-based overages or a custom plan negotiated with the company. No more fixed-price Pro plan at $249/month.

    Evidence
    −Hobby For individuals exploring and building side projects. 10,000 add requests/ month 1,000 retrieval requests/ month 1 project Starter For solo builders shipping their first AI agent. $19 / month Pro Popular For production apps with real scale. $249 / month Enterprise For teams that need compliance, control & SLAs. Contact Us
    +For developers building and testing with Mem0. Free First 30 days: 10,000 adds and 1,000 retrievals a month, model calls on us With your own LLM key: 50,000 adds and 10,000 retrievals a month Usage-based billing past your limits, with a monthly cap you set For production apps that need higher limits, advanced features or a contract. Custom Talk to us

    mem0.ai

  12. Copilot Fusion is generally available. Instead of picking a model per task, you choose Fusion and Copilot routes and orchestrates the models itself. Each model it calls is billed at that model's standard rate, with a 30% discount on model costs for paid plans for a limited time. Because the bill depends on which models Fusion picks, compare a week of usage against your usual model before you make it the default.

    featurehigh

    GitHub Copilot Fusion is now generally available with intelligent multi-model routing and orchestration.

    Developers can now use Copilot Fusion to automatically route tasks to the best model without manual selection. Copilot Fusion offers three effort levels (Standard, High, Max) and uses three execution patterns (Single, Cascade, Critique) to optimize performance and cost.

    Evidence
    +GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you.

    github.blog · also seen at 1 more source

  13. Anthropic launched user profiles, which tag each API request with the end customer it serves. For platforms, gateways and resellers, a safety enforcement action can then apply to that one customer instead of the whole organization, and the SDKs and the ant CLI support the new /v1/user_profiles endpoints. If many customers share one organization, this limits how far one abusive tenant can affect the rest.

    featurehigh

    User profiles feature launched for multi-customer platforms.

    Platform operators and API resellers can now associate API requests with specific end customers, enabling granular safety enforcement actions. New /v1/user_profiles endpoints available in SDKs and CLI.

    Evidence
    +We've launched user profiles, so you can tell Anthropic which of your end customers each API request is for. If you operate a platform or gateway, or resell API access, a safety enforcement action can then apply to one end customer instead of your whole organization. The SDK and the ant CLI support the new /v1/user_profiles endpoints.

    docs.claude.com

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