6 Commits

Include renames

Author	SHA1	Message	Date
mudler-agentandEttore Di Giacinto	99043b442c	feat(router): route with native decision models (#12449) ... * fix(schema): preserve SystemOne image inputs Assisted-by: OpenAI * test(schema): follow Ginkgo conventions for decision inputs Assisted-by: OpenAI * feat(llama-cpp): dispatch native decisions through Score Upgrade the stock dependency and reconcile Score/TTS patches. Reuse native decision parsing, tasks, formatting and response-reader cleanup; preserve ordinary scoring admission and guard older dependencies. Assisted-by: OpenAI * refactor(systemone): share request and model validation Assisted-by: OpenAI:gpt-5 * fix(systemone): preserve HTTP wire-byte validation limit Keep structural validation separate from the serialized internal request bound so HTML escaping cannot reject valid HTTP payloads. Assisted-by: OpenAI:gpt-5 * feat(systemone): bound images and account native decisions Preserve public wire limits independently from router serialization. Reject unsupported NER images, map native request/capability errors, and stamp explicit usage once. Advertise decisions for stock llama-cpp. Assisted-by: OpenAI * fix(systemone): record usage on registered native route Exercise real registration and billing with a mock native backend. Reject empty native responses, malformed image URLs, trailing JSON, and wire overflow including whitespace. Assisted-by: OpenAI * feat(router): add lazy native decision transport Bind named models through internal ModelSystemOne calls with shared validation and bounded abandoned operations. Remove request and echoed-error contents from decision traces. Assisted-by: OpenAI:gpt-5 * feat(router): classify overlapping policies with native decisions Ask independent noul questions, validate probabilities and preserve first-superset routing. Wire the central factory with config-sensitive invalidation and cancellation-safe resolution. Document native framing and bounded operation limits. Assisted-by: OpenAI:gpt-5 * feat(gallery): add pinned Julia-1 native decision model Add a separate text-only llama-cpp Q8 entry with pinned Apache-2.0 source provenance and checksum. Installed using the gallery installer and exercised choice, score and noul on CPU. Assisted-by: OpenAI * test(router): verify native decisions through central factory Add an opt-in real-model Ginkgo integration covering the native Go loader and C++ transport, token usage, independent overlapping labels, and candidate selection. Document owned-server execution and the intentionally non-quality threshold. Assisted-by: Codex:gpt-5 * fix(llama-cpp): align upstream pin and preserve decision signatures Advance to bed0a856 without losing the automated upstream bump. Detect full-request fill_task support at compile time and forward every question for Nimble framing while retaining the earlier native signature. Preserve reconciled SCORE/TTS patches; add standalone compatibility coverage. Assisted-by: Codex:gpt-5 * feat(gallery): add native decision family defaults Pin Laya, Kev-4B, lev, OpenJev and Nimble artifacts. Verify Laya/Kev/lev gallery installs and CPU contracts on both native pins; clearly mark OpenJev/Nimble runtime validation pending and their noncommercial licenses. Assisted-by: OpenAI * docs(decisions): clarify integrated Nimble prerequisite Record the exact combined backend pin while retaining pending OpenJev and Nimble installation/runtime validation status. Assisted-by: Codex:gpt-5 * fix(gallery): indent native decision model sequences Match repository yamllint indentation for Laya, Kev, lev and OpenJev list fields. Parsed gallery data is unchanged; reproduce CI gallery lint failure before the whitespace-only fix and pass the same command afterward. Assisted-by: Codex:gpt-5 * docs(decisions): record OpenJev and Nimble CPU validation Record gallery installation, checksum/metadata verification and multiquestion native smoke results on bed0a856. Retain noncommercial and text-only limitations without accuracy or deterministic-output claims. Assisted-by: OpenAI * fix(ui): expose native Decisions router classifiers Select classifier models using metadata-driven capability routing, retain tuned thresholds, and validate native decision selections before saving. Cover both native backends and create/save/reopen in the real React editor. Assisted-by: Codex:gpt-5 * fix(router): exclude aliases from native decision discovery Check the originally named config before advertising native Decisions eligibility. Retain target capability inheritance for ordinary generation aliases. Exercise the actual capabilities endpoint with native models on both backends, aliases, and disabled models. Assisted-by: Codex:gpt-5 * feat(systemone): share bounded multimodal input validation Preserve text wire limits while admitting bounded PNG/JPEG decision input. Share collection and header validation across internal and public callers and keep the native runner response budget independent. Assisted-by: OpenAI:API-assistant * fix(systemone): bound admission lifetimes and validate complete images Retain shared admission leases through actual work completion, including abandoned internal operations. Decode bounded image pixels, cap public native responses before usage stamping, and preserve oversized malformed text status precedence. Assisted-by: OpenAI:API-assistant * fix(router): classify images before media fetching Preserve ordered structured probes for native decisions. Defer OpenAI media preparation until routing selects the served model, so rejected decision URLs cannot trigger downloads before shared validation. Guard direct image collection with context-aware shared admission. Keep text classifiers and embedding caches from discarding image input. Retain fail-closed classifier configuration and runtime fallback policy. Add middleware, typed-content, admission, cancellation and cache tests. Assisted-by: OpenAI:API-assistant * fix(router): bound extraction before serialization Check probe budgets before copying text or marshaling message state. Count JSON escaping so oversized internal inputs fail before allocation. Preserve typed Anthropic blocks through selected-model conversion and fallback. Keep retry coverage in Ginkgo without global test registration. Assisted-by: OpenAI * fix(router): bound supported probe serialization Arbitrary structs can bypass the probe budget through pointer marshalers, string tags, and promoted fields. Accept concrete chat schema types and plain JSON values instead of emulating arbitrary struct serialization. Budget escaped direct prompts before marshaling so raw length cannot hide serialized expansion. Preserve runtime fallback and reject oversized input before invoking the decision runner. Add Ginkgo allocation, boundary, and marshaler invocation regressions. Six-package tests, three-package race tests, and full-T2 delta lint pass. Assisted-by: OpenAI:GPT-5 golangci-lint * feat(decisions): enable bounded OpenJev images Validate native decision images before permissive media parsing and pixel allocation. Require both decision image support and a vision projector; missing or audio-only projectors cannot silently become text decisions. Pin the OpenJev Q8 projector and document its license and disk footprint. Add native safety tests, canonical limit parity, gallery and load-option checks, and a reproducible CPU direct-RPC contrasting-image smoke. Assisted-by: OpenAI:GPT-5 * fix(decisions): reject incomplete image streams stb accepts corrupt PNG Adler checksums and truncated JPEG scans. Use bounded zlib validation and strict libjpeg decoding before parsing. Keep dimension and aggregate pixel checks ahead of decoder allocations. Wire decoder dependencies into native builds and runtime packaging. Add regressions for appended EOI and embedded marker bypasses. Assisted-by: OpenAI:GPT-5 * fix(ci): gate native decision image validation Run the decoder security tests outside the stdlib-only native suite. Fetch vendor headers at the backend pin and provision decoder dependencies. Gate Go limit parity and production CMake wiring without model downloads. Assisted-by: OpenAI:GPT-5 * test(decisions): cover multimodal public API paths Exercise shared image contracts through the registered HTTP routes and external mock backend. Add opt-in cached gallery installation and real OpenJev image decisions through SystemOne and both routing APIs. Assisted-by: Codex:gpt-5 * test(decisions): assert isolation and cache bypass Observe external RPC calls and compare complete classifier history. Winner-only and cache-miss checks could hide dropped history or cache use. Give real inference its own application and model directory so shared backend mappings and loaded processes cannot affect mixed suite order. Assisted-by: OpenAI:ChatGPT * test(decisions): isolate fixture globals Disable optional global services in the isolated HTTP fixture and register cleanup before setup assertions. Verify meter provider identity survives fixture creation and destruction. Snapshot observed usage before assertions so failures cannot retain the mutex. Require a successful usage stamp before checking error responses. Assisted-by: Codex:gpt-5 golangci-lint * fix(application): honor optional telemetry controls Skip failover gauge registration when metrics are disabled. Register against the application meter rather than looking up the global provider. Allow embedders to retain the bounded routing log without billing stats. Keep the existing default when stats are disabled. The isolated HTTP fixture uses this option without losing its native router assertions. Assisted-by: Codex:gpt-5 golangci-lint --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-10-04 09:34:21 +02:00
mudler-agentandEttore Di Giacinto	38a2aa45fe	feat(gallery): add Nimble 9B and CLM decision models, bump vllm.cpp to a19294a9 (#12397) ... * feat(gallery): add nimble-9b-vllm-cpp decision model Add Bespoke Nimble 9B, converted for vllm.cpp and pinned to the weights commit 52eead25 of mudler/Bespoke-Nimble-9B-vllm-cpp (HEAD only adds the model card). It is a redistribution of bespokelabs/Bespoke-Nimble-9B with the LoRA merged into Qwen3.5-9B; config.json names NimbleModel, so no hf_overrides are needed. The artifact sits under overrides, where the installer reads it. The entry sets an 8192-token context, Nimble's own prompt limit, and a KV pool of 1024 blocks of 32 tokens for 4 sequences (about 1 GiB at 32 KiB per token for the 8 full-attention layers). Installed with local-ai models install and served on CPU through the vllm-cpp backend: the model card's billing request gives billing (0.986), refund 0.998 and urgency 0.33. Peak resident memory was 18.4 GB, so the description asks for about 20 GB of free RAM. List the entry in the decisions gallery table. CLM stays out of the gallery: the pinned engine cannot load the published head layout. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 * feat(gallery): add clm-v0.1-8b-vllm-cpp and bump vllm.cpp for CLM The CLM checkpoint on mudler/CLM-v0.1-8B-vllm-cpp stores the heads with the reference's own tensor names (state_head.inp, hidden.N, norms.N, out). The pinned vllm.cpp 96788348 still expects the old .0/.2/.4/.6 layout and refuses the load with "head.safetensors incomplete for state_head". vllm.cpp a19294a9 matches the reference layout and adds the converter that produced the upload, so move the pin there. The ABI stays at v30. Add the CLM entry, pinned to the weights commit 0d1903b1 (HEAD only adds the model card), with a 4096-token context and a KV pool for 4 sequences (about 2.25 GiB at 144 KiB per token for Qwen3-8B). Installed with local-ai models install and served on CPU against a libvllm built at a19294a9: the model card example (john works at google, entity type) gives person 0.950, the same as the card. Peak resident memory was 17.9 GB. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-10-02 09:41:31 +02:00
Ettore Di Giacinto	975ff5ca42	feat(gallery): add kev-0.8b-vllm-cpp decision model ... Add the kev 0.8B decision model, converted for vllm.cpp and pinned to revision c17e7366 of mudler/kev-0.8b-vllm-cpp. It is a redistribution of jaredpalmer/kev-0.8b with the LoRA merged and the PointerHead stored as head.safetensors, so only the vllm-cpp backend can load it. The artifact sits under overrides, where the installer reads it. The entry sets a 2048-token context and an explicit KV pool: with the default 4096-token context the CPU KV pool holds only 4064 tokens and the load fails. List the entry in the decisions gallery table and drop kev from the list of decision models that are not gallery entries yet. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5	2026-09-30 22:28:13 +00:00
mudler-agentandEttore Di Giacinto	b540c3e1fd	chore(vllm-cpp): bump to 967883486 (ABI v30), add hf_overrides and Tev1 entries, fix vllm-cpp gallery installs (#12379) ... * chore(vllm-cpp): bump vllm.cpp to 967883486 (ABI v30) Moves the pin from c3bebc357 to 967883486. On top of the Nimble decision adapter and the Qwen3.5 vision-loader fix, this brings Tev1 on /v1/systemone and vllm_decide (opt-in through a "Tev1Model" architecture in config.json), a tokenizer/ subdirectory fallback so the Laya HF snapshot loads as downloaded, a stop-token fix, a logprobs fix under async scheduling and a pinned parakeet.cpp fetch for the diarization build. ABI v30 only adds the diarization and speaker-attributed ASR entry points; no existing struct or signature changed, so the purego mirrors keep their layout and only abiVersion moves to 30. Between 4479dc99f and 967883486 vllm.h changed only in a comment. v30 turns VLLM_CPP_WITH_DIARIZATION on by default. The fetch is pinned now, but ON still downloads parakeet.cpp at configure time and links a second ggml into libvllm for calls this backend never makes, so build with the option off: the symbols stay present as refusing stubs. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 * feat(vllm-cpp): add the hf_overrides engine arg vLLM parity: engine_args.hf_overrides is a JSON object of top-level config.json keys merged over the model directory's own config.json. The main use is opting a published checkpoint into an engine adapter its config does not name, such as {"architectures": ["Tev1Model"]} on the Tev1 snapshots, which declare Qwen3_5ForConditionalGeneration. The C ABI has no override input and the engine reads config.json from the directory it is given, so Load builds a private overlay directory: the merged config.json plus a symlink to every other entry of the model directory, and passes that to the engine. The download is never written. Free, a failed load and the next Load remove the overlay. validModelPath and the DFlash draft resolution still see the real directory. A value that is not a JSON object, a .gguf model or a directory without config.json fails the load instead of being skipped like an unknown engine_args key, because loading the unmodified config would serve a different architecture than the one configured. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 * fix(gallery): nest vllm-cpp artifacts under overrides artifacts: is a model-config key, and the installer reads model-config keys only from overrides:. Five vllm-cpp entries (laya, gliner25-decide, qwen3-vl-4b, cua-s1-forms and gliner2.5) declared it at the entry top level, where it is silently dropped: the install reports success, writes a config whose model is the bare HF repo id and downloads nothing, and vllm-cpp (which does not infer artifacts) then fails the first load with "model path not found". Move each block under overrides:, and add a guard test that refuses a top-level artifacts: key in the index. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 * feat(gallery): add Tev1 4B and 0.8B on vllm-cpp Two decisions entries for Together AI's Tev1 checkpoints, pinned to the current HF revisions. Tev1 is autoregressive: vllm.cpp answers /v1/systemone by scoring the option letters, and the same engine still serves chat completions. The published config.json names Qwen3_5ForConditionalGeneration, so each entry sets hf_overrides: {architectures: [Tev1Model]} to enable the decision route without editing the download. known_usecases is [decisions] only, since a declared decisions list is authoritative for reservation. The descriptions state what was checked: agreement with transformers on CPU over seven questions (4B 7/7, max probability difference 0.0004; 0.8B 6/7 with one near tie), CPU-only for the decision route, and a fine-tune license the model card says is still being finalized, so no license key is set. The Decisions API page lists both entries, drops the note that Tev1 does not serve /v1/systemone and documents the 24-option limit (Ollama allows 26). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-sonnet-5-5 --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-09-30 20:22:49 +02:00
Ettore Di Giacinto	5613572f38	feat(systemone): validate requests and align the docs with Ollama's contract ... All three routes now validate the request before it reaches a model: body size (413 over 64 KiB), state, question count, blank ids, option and level counts, and noul criteria keys. Forwarded decision requests skipped this before, so a malformed question surfaced as a backend error. The docs claimed the wire shape matches Ollama's. Field names and question types do; confidence, error shape, keep_alive and state rendering differ, and the docs now say so. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io>	2026-09-30 14:31:50 +00:00
Ettore Di Giacinto	70ce62901f	refactor: name the capability decisions instead of systemone ... The usecase describes what a model can do, and the category is the Decisions API. SystemOne stays as the wire contract: the /v1/systemone routes, the Score RPC question_type and the swagger tag are unchanged. The usecase, flag, auth feature, UI label, gallery tags and docs page are now decisions. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io>	2026-09-30 14:14:09 +00:00