AI Devtools Radar

Issue #11 · Sep 27, 2026 · Sep 21 – Sep 27

Claude Opus 5.5 lands at $4/$20 and breaks three API defaults, GPT-6 Sol and Luna get list prices, Supabase's Postgres minor release needs action

The radar watched 63 sources across 32 tools this window and published 32 changes; these are the twelve worth your attention, ranked. Two more than the usual ten, because the Opus 5.5 launch alone produced three separate consequences, from a breaking API contract to watermarked output, and three unrelated pricing changes landed in the same week. Collection on September 26 failed on nearly every source after a network fault on our side, so anything announced that day shows up next issue. Every item carries the before/after evidence the pipeline captured; expand it before you take our word.

  1. On Opus 5.5 thinking can no longer be turned off. Both thinking: {"type": "disabled"} and an explicit enabled block return 400, so omit the field and control depth with the effort parameter instead. tool_choice types any and tool also return 400, as on Fable 5.1, which means switching to auto with strict tool use. Computer use on the Claude API and Google Cloud now requires the computer_toolset_20260801 toolset, while computer_20251124 keeps working on Bedrock only. Fix all three before you point traffic at the new model.

    apihigh

    Claude Opus 5.5 requires API changes: thinking field disabled, uses effort parameter, and new computer toolset

    Developers must update code to remove thinking field configuration, use effort parameter for thinking depth control, and migrate to computer_toolset_20260801 on Claude API/Google Cloud (or keep computer_20251124 on Bedrock)

    Evidence
    +On Claude Opus 5.5, thinking can't be disabled: thinking: {"type": "disabled"} and thinking: {"type": "enabled", ...} return a 400 error. Omit the thinking field and control thinking depth with the effort parameter. tool_choice types any and tool also return a 400 error, as on Claude Fable 5.1; use auto with strict tool use. On the Claude API and Google Cloud, computer use on this model requires the computer_toolset_20260801 toolset and the earlier computer_20251124 tool returns a 400 error

    docs.claude.com

  2. Opus 5.5 lists at $4 input and $20 output per million tokens with $0.20 cache reads, and Opus 5 moves to the legacy section at $5 and $25. The new model ships with a 1M token context window by default, 128k max output, and always-on adaptive thinking. Fast mode is billed at 2x standard pricing, so fold that multiplier in before you budget for the 2.5x speedup.

    pricing

    Pricing specified for Claude Opus 5.5: $4/$20 per million tokens with $0.20/Mtok cache reads

    Users are informed of the cost structure for using Opus 5.5 model with prompt caching support.

    Evidence
    +$4/$20 per Mtok with $0.20/Mtok cache reads

    github.com

  3. Opus 5.5 watermarks its text output. Anthropic says the watermark changes neither the meaning, quality, nor readability of what comes back, and costs no extra tokens; Fable 5.1 and Mythos 5.1 already carry the same watermark. The disclosure surfaced in GitHub Copilot's model notes rather than a release note of its own, which is worth knowing if your product makes claims about AI-generated content or has to answer provenance questions.

    positioning

    Claude Opus 5.5 includes text watermarking

    Users should be aware that Claude Opus 5.5 outputs are watermarked, though this does not affect quality, readability, or token cost.

    Evidence
    +Claude Opus 5.5 watermarks its text outputs. The watermark doesn't change the meaning, quality, or readability of outputs, nor does it add any tokens or cost.

    github.blog

  4. OpenAI published standard pricing for GPT-6 Sol and GPT-6 Luna, quoted per million tokens for prompts up to 272K input. Sol runs $2 input, $0.20 cached input, and $10 output; Luna runs $0.10, $0.01, and $0.50. That is a twentyfold spread between the two, so decide how to route by task difficulty before arguing about the bill.

    pricinghigh

    Pricing announced for GPT-6 Sol and GPT-6 Luna models

    Users can now see cost differences between the two models: GPT-6 Sol has higher pricing ($2 input/$10 output) vs GPT-6 Luna ($0.10 input/$0.50 output), with both offering cached input options.

    Evidence
    +Standard pricing per 1M tokens for prompts with up to 272K input tokens: GPT-6 Sol: $2 input, $0.20 cached input, and $10 output. GPT-6 Luna: $0.10 input, $0.01 cached input, and $0.50 output.

    platform.openai.com

  5. Copilot added four models in one weekly release. Opus 5.5 and GPT-6 Sol land on Pro+, Max, Business, and Enterprise; GPT-6 Luna and Grok 4.7 are available from Pro up. Grok 4.7 is billed at xAI's provider list pricing under usage-based billing rather than by premium-request multiplier, and the two schemes diverge quickly at volume, so check which one your account is on before you switch defaults.

    pricing

    Grok 4.7 uses provider list pricing under usage-based billing model

    Users will be charged based on xAI's provider list pricing for using Grok 4.7 under GitHub Copilot's usage-based billing structure.

    Evidence
    +This model is billed at provider list pricing under usage-based billing. See Models and pricing for GitHub Copilot for details.

    github.blog

  6. Supabase moved to PostgreSQL 15.19 and 17.11 and flags that ltree, pgcrypto, btree_gist, and custom operators may need action. Minor releases are usually something you let happen; this one is not. If you use those extensions or define your own operators, read the changelog entry and run a regression pass before the upgrade reaches your project.

    otherhigh

    PostgreSQL 15.19 and 17.11 minor releases with potential breaking changes for ltree, pgcrypto, btree_gist, and custom operators

    Supabase customers using PostgreSQL 15.x or 17.x may need to take action to ensure compatibility with ltree, pgcrypto, btree_gist extensions or custom operators after the upgrade

    Evidence
    +PostgreSQL 15.19 / 17.11 minor release — action may be required for ltree, pgcrypto, btree_gist, and custom operators

    supabase.com

  7. Weaviate's dedicated cluster card no longer shows the $400/month starting price and points to sales instead. The FAQ further down the same page still says the minimum runs from $400/month on Premium, so this reads as moving the negotiation earlier rather than as a price rise. Either way you can no longer put a public number for the dedicated tier into a comparison sheet.

    pricinghigh

    Dedicated cluster pricing structure changed from fixed $400/month to contact sales model

    Users seeking dedicated clusters must now contact sales instead of seeing upfront pricing; pricing transparency reduced for dedicated tier.

    Evidence
    −Starts at$400 /mo from $400 / month
    +Dedicated | SharedContact sales for more information

    weaviate.io

  8. Supabase now includes 20 GB of log ingestion per project and charges $0.50 per GB beyond it. Projects that leave debug-level logging on can cross that line without anyone noticing, so look at your current ingestion volume before deciding whether to tighten sampling or retention.

    pricing

    Log Ingestion overage pricing set at $0.50 per GB

    Users exceeding included log ingestion quota (20 GB) will be charged $0.50 per additional GB.

    Evidence
    +20 GB includedthen $0.50 per GB

    supabase.com · also seen at 1 more source

  9. Cursor shipped two bots. Rollouts attaches a monitor to each pull request, posts its monitoring plan as a comment for you to edit, then checks your logs, metrics, and traces per environment after deploy and reports the change as verified healthy, regressed, or inconclusive. On a regression it names the change it suspects, notifies the author, and can open a revert PR, though it will not merge or roll back on its own. Security Review posts one comment per PR covering injection, auth bypasses, secrets committed to source, SSRF, and dependency changes with known vulnerabilities, while style and quality stay with Bugbot. Both are Teams and Enterprise only, with 10 days of trial credits worth roughly 50 changes on Teams and 500 on Enterprise.

    featurehigh

    Launch of Rollouts bot for monitoring deployed changes and detecting regressions

    Teams and Enterprise plan users gain automated monitoring of pull request deployments with per-environment health tracking, regression detection, and optional automated revert PR creation.

    Evidence
    +Today we're launching two Cursor bots for the last mile of shipping code. Rollouts watches every change as it deploys and reports its health per environment.

    cursor.com

  10. Copilot code review settings go from Pro, Pro+, and Max only to every plan, Business and Enterprise included, and now live on their own code review page under Copilot settings in your profile, with separate controls for automatic reviews and review effort. Enterprise owners can configure it across the organization, which is the part that was missing while everyone set it up individually.

    featurehigh

    Copilot code review now available on all plans with new dedicated settings page and enterprise-wide configuration.

    All Copilot users (Business and Enterprise included) can now access personal code review settings previously limited to Pro/Pro+/Max plans, with new granular controls for automatic reviews and review effort levels.

    Evidence
    +Previously, personal Copilot code review settings were available only with Copilot Pro, Pro+, and Max on the "Copilot features" page... Under your profile → Copilot settings, a dedicated "code review" page under Copilot is now available on every Copilot plan, including Copilot Business and Copilot Enterprise.

    github.blog · also seen at 1 more source

  11. Pinecone Bring Your Own Cloud reached general availability, so you can run Pinecone inside your own cloud account. The signal here is the pricing-page banner, which replaced the earlier full-text-search GA notice, so read the linked announcement for region coverage and where the operational boundary sits. For teams whose data cannot leave their own account, this changes the shortlist.

    feature

    Pinecone Bring Your Own Cloud now Generally Available (replaces Full-Text Search announcement)

    Pinecone is promoting a new cloud deployment capability on their pricing page. Users now see information about BYOC availability instead of the previous Full-Text Search feature announcement.

    Evidence
    −Full-Text Search is Now Generally Available In Pinecone Database - Read the announcementDismiss
    +Pinecone Bring Your Own Cloud is Now Generally Available - Read the announcementDismiss

    www.pinecone.io

  12. mem0's Python SDK v2.2.0 adds User Profiles to MemoryClient and AsyncMemoryClient. A profile is a JSON summary of one user, shaped by a JSON Schema you configure per project and filled by an LLM from that user's memories, and it stays current as the memories change. Generation is asynchronous and every job POST carries an Idempotency-Key, so pass the same idempotency_key when retrying a lost request rather than starting a second job. Compared with assembling a profile yourself on each call, this saves a retrieval round.

    featurehigh

    User Profiles feature added to Mem0 Python SDK (v2.2.0) with profile management methods

    Python SDK users can now create, retrieve, and manage user profiles as structured JSON summaries shaped by configurable schemas, with asynchronous generation and idempotent job retries.

    Evidence
    +Add User Profiles to MemoryClient and AsyncMemoryClient: get_profile(), generate_profile(), get_profile_settings(), update_profile_settings(), sample_profiles(), and get_profile_job(). A profile is a structured, always-current JSON summary of one user, shaped by a JSON Schema you configure per project and filled by an LLM from that user's memories. Generation is asynchronous. Every job POST carries an Idempotency-Key; to retry a lost request without starting a second job, pass the same idempotency_key on each attempt

    github.com

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