Backfill issue -038 — The AI Toolchain

EDITIONS tail grep head diff uniq

The daily firehose — everything the toolchain shipped today, already filtered.

// HOW THIS ISSUE IS MADE

We read every release from the 174 tools on our watchlist at the source — GitHub and GitLab release notes, vendor release pages and changelogs, project blogs and feeds, vendor press releases, and the source code behind the tag. Bug-fix-only releases and non-product newsroom noise are dropped; what's left is summarized down to the new capability, how to try it, and any screenshots or videos the release itself published. Every entry links to the sources it was built from.

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$ tct list   # 3 tools matched

AI & LLM Tooling

◆ AI Model & Data Infrastructure

emisar

v0.24.0 NOTES

An MCP that lets AI tools securely connect to your infrastructure, write IaaS code, debug issues, and assist during incidents - without risking production stability. Built for security teams to approve and infrastructure teams to experience like magic.

emisar v0.24.0 adds a pack registry at registry.emisar.dev, a public status page, and lists its MCP server in the official MCP registry.

└──▷ GET THIS VERSION

$ git clone --branch v0.24.0 https://github.com/AndrewDryga/emisar.git
# already have the repo? check out this version:
$ git checkout v0.24.0

›Pack registry now serves from registry.emisar.dev/v1/catalog.json with anonymous access scoped to exact object reads and end-to-end tarball verification on publication.
›Hosted MCP server (dev.emisar/emisar) is now listed in the official MCP registry.
›Public status page at status.emisar.dev provides external availability monitoring with on-call escalation.
›Portal releases are now pinned by digest with provenance and SBOM attestations; fixable HIGH/CRITICAL vulnerabilities block publication.
›Binary releases are immutable and reproducible, with signed and verified release tags gating publication.

+1 moreshow less

›Production infrastructure plans queue in order and never replace a review an operator already has open.

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◆ Local LLM Runtimes

llama.cpp

b9972 4 RELEASES · 2026-07-12 NOTES STABLE

llama.cpp server gains streaming support for the exec_shell_command tool

└──▷ GET THIS VERSION

$ git clone --branch b9972 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:
$ git checkout b9972

›Adds streaming output support for exec_shell_command in the llama.cpp server, enabling real-time token delivery when the shell tool is invoked.

3 more releases in this issue · 2026-07-12

b9970 NOTES STABLE

llama.cpp b9970 adds GGML_OP_LIGHTNING_INDEXER for native DeepSeek V3.2 and V4 model support.

└──▷ GET THIS VERSION

$ git clone --branch b9970 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:
$ git checkout b9970

›Adds GGML_OP_LIGHTNING_INDEXER ggml operation implementing the DeepSeek V3.2 and V4 lightning indexer, with f16 mask parameter and mask broadcasting support.
›Enables use of GGML_OP_LIGHTNING_INDEXER in DeepSeek V3.2 and DeepSeek V4 model inference paths.
›Bumps the RPC version to reflect the new GGML_OP_LIGHTNING_INDEXER operation.

b9968 NOTES STABLE

llama.cpp b9968 adds int8 DP4 dense and MoE prefill optimizations for Adreno GPUs via OpenCL

└──▷ GET THIS VERSION

$ git clone --branch b9968 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:
$ git checkout b9968

›Adds int8 DP4 dense GEMM and MoE GEMM prefill optimizations for Qualcomm Adreno GPUs via OpenCL, accelerating both dense and Mixture-of-Experts model inference on mobile hardware.

b9967 NOTES STABLE

llama.cpp server now accepts null sampling params (temperature, top_p, …) to request server defaults, matching the OpenAI spec.

└──▷ GET THIS VERSION

$ git clone --branch b9967 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:
$ git checkout b9967

›Server API now treats null values for nullable sampling parameters (e.g., temperature, top_p) as absent, falling back to server defaults — matching the OpenAI spec behavior.

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Other / Uncategorized

◆ AI OBSERVABILITY

Arize Phoenix

arize-phoenix-v17.27.0 2 RELEASES · 2026-07-12 NOTES STABLE

Phoenix 17.27.0 adds drag-and-drop column reordering, full span I/O tooltips, and authorship columns across traces, sessions, experiments, and prompts tables.

└──▷ GET THIS VERSION

$ git clone --branch arize-phoenix-v17.27.0 https://github.com/Arize-ai/phoenix.git
# already have the repo? check out this version:
$ git checkout arize-phoenix-v17.27.0

›Adds drag-and-drop column reordering with a redesigned column selector across the traces, sessions, and experiments tables in the UI.
›Enables column customization for the prompts table in the UI.
›Adds dataset and prompt authorship columns (renamed to updatedBy) to the UI.
›Previews full span input/output content in table row tooltips in the traces UI.

1 more release in this issue · 2026-07-12

arize-phoenix-client-v2.13.0 NOTES STABLE

Phoenix client gains name_contains project filtering, .env file support, and a second project-name env var.

└──▷ GET THIS VERSION

$ git clone --branch arize-phoenix-client-v2.13.0 https://github.com/Arize-ai/phoenix.git
# already have the repo? check out this version:
$ git checkout arize-phoenix-client-v2.13.0

└──▷ USE IT

Filter projects by a partial name match instead of listing all and filtering manually.

python

matching = client.projects.list(name_contains="prod")

›Adds name_contains filter parameter to projects.list() in the Python client, enabling substring search across projects.
›Supports a Phoenix .env file for storing environment-based configuration.
›Accepts both PHOENIX_PROJECT_NAME and PHOENIX_PROJECT environment variables interchangeably everywhere in the SDK.

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// END OF TRANSMISSION

The AI Toolchain · curated daily · July 12, 2026
Releases & features from the open-source and commercial AI tools that practitioners actually run.

The AI Toolchain — issue -038, July 12, 2026

emisar

llama.cpp

Arize Phoenix