* fix(router): score classifier production-readiness
Conversation trimming runs through the classifier model's chat template
and trims by exact token count, sized to the model's n_batch which is
now scaled to context so long probes can't crash the backend. Missing
chat_message templates are a hard error at router build time. Router-
facing factories (Embedder/Scorer/Reranker/TokenCounter) re-resolve
ModelConfig per call so a model installed post-startup doesn't bind a
stub Backend="" config and silently fall into the loader's auto-
iterate path.
New 'vector_store' backend trace recorded inside localVectorStore on
every Search/Insert — including the backend-load-failure path that
previously vanished into an xlog.Warn — with outcome tagging
(hit/miss/empty_store/backend_load_error/find_error/insert_error/ok).
Companion cleanup drops misleading similarity:0 and input_tokens_count:0
from non-hit and text-mode traces.
Gallery local-store-development aliases to 'local-store' so the master
image satisfies pkg/model.LocalStoreBackend lookups from the embedding
cache.
Misc: llama-cpp TokenizeString reads the correct 'prompt' JSON key
(the original bug); ModelTokenize nil-guard; non-fatal mitm proxy
startup; PII 'route_local' renamed to 'allow' with docs/UI in sync;
model-editor footer no longer eats the edit area on small screens;
several config-editor template/dropdown/section fixes.
Tests: e2e router specs (casual/code-hint + long-conversation trim),
vector_store trace specs, lazy-factory specs, gallery dev-alias
resolution, Playwright trace badge + scroll regression.
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(backend): auto-size batch to context for embedding and rerank models
Embedding and rerank models pool over the whole input in a single physical batch (n_ubatch). With batch left at the 512 default, the backend rejects longer inputs with "input is too large to process", silently capping a large-context embedder (e.g. 8k/32k) at 512 tokens. Size n_batch to the context for these single-pass usecases, mirroring the existing FLAG_SCORE behaviour; an explicit batch: still wins.
Extracts EffectiveContextSize/EffectiveBatchSize from grpcModelOpts so the effective decode window has one home for other callers to reuse.
Adds an e2e-aio regression test that embeds a >512-token input. The AIO embedding model is switched to nomic-embed-text-v1.5 (2048 context) because the previous granite model was capped at 512 tokens and could not exercise the larger batch.
Assisted-by: claude-code:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(gallery): raise arch-router scoring output cap via parallel:64
Scoring decodes the whole prompt+candidate in a single llama_decode and
reads one logit row per candidate token. The vendored llama.cpp server
caps causal output rows at n_parallel, so the default of 1 aborts with
GGML_ASSERT(n_outputs_max <= cparams.n_outputs_max) on multi-token route
labels. Set options: [parallel:64] on both arch-router quant entries to
lift the cap; kv_unified (the grpc-server default) keeps the full context
per sequence, so this does not split the KV cache.
Assisted-by: claude-code:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
core/http/app_test.go had grown to 1495 lines exercising three concerns at
once: HTTP-layer integration, real-backend inference (llama-gguf, tts,
stablediffusion, transformers embeddings, whisper), and service logic that
already has unit-level coverage. Each PR paid for 6 backend builds plus
real-model downloads to satisfy a single suite.
Reorg per layer:
- app_test.go (1495 -> 1003 lines) drives the mock-backend binary only.
Kept: auth, routing, gallery API, file:// import, /system, agent-jobs
HTTP plumbing, config-file model loading. Deleted real-inference specs
(llama-gguf chat, ggml completions/streaming, logprobs, logit_bias,
transcription, embeddings, External-gRPC, Stores duplicate, Model gallery
Context). Lifted Agent Jobs out of the deleted Stores Context.
- tests/e2e-backends/backend_test.go gains logprobs, logit_bias, and
no-first-token-dup specs (the latter folded into PredictStream). Two
new caps gate them so non-LLM backends opt out.
- tests/e2e-aio/e2e_test.go gains a streaming smoke under Context("text")
to catch container-level streaming regressions.
- tests/models_fixtures/ removed; all fixtures referenced testmodel.ggml.
app_test.go now writes per-Context inline mock-model YAMLs.
CI:
- test.yml + tests-e2e.yml gain paths-ignore (docs/, examples/, *.md,
backend/) so docs and backend-only PRs skip them. test.yml drops the
6-backend Build step plus TRANSFORMER_BACKEND/GO_TAGS=tts; tests-apple
drops the llama-cpp-darwin build.
- New tests-aio.yml runs the AIO container nightly + on workflow_dispatch
+ master/tags. The tests-e2e-container job moved out of test.yml so PRs
no longer pay AIO cost.
- New tests-llama-cpp-smoke job in test-extra.yml runs on every PR with
no detect-changes gate; pulls quay.io/go-skynet/local-ai-backends:
master-cpu-llama-cpp (no build on PR) and exercises predict/stream/
logprobs/logit_bias against Qwen3-0.6B. This is the PR-acceptance
real-backend gate after AIO moved to nightly. The path-gated heavy
test-extra-backend-llama-cpp wrapper appends the same caps so it
exercises the moved specs when the backend actually changes.
Makefile:
- Deleted test-models/testmodel.ggml (the wget chain), test-llama-gguf,
test-tts, test-stablediffusion, test-realtime-models. test target
drops --label-filter, HUGGINGFACE_GRPC, TRANSFORMER_BACKEND, TEST_DIR,
FIXTURES, CONFIG_FILE, MODELS_PATH, BACKENDS_PATH; depends on
build-mock-backend. test-stores keeps a focused entry point and depends
on backends/local-store. clean-tests also clears the mock-backend
binary.
Net per typical Go-side PR: ~25min (6 backend builds + tests + AIO) +
~8min e2e drops to ~5min mock-backend test + ~8min e2e + ~5-10min
llama-cpp-smoke (image pulled). Docs and backend-only PRs skip the
always-on workflows entirely.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: claude-code:claude-opus-4-7 [Edit] [Write] [Bash]
* feat: add distributed mode (experimental)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix data races, mutexes, transactions
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactorings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix events and tool stream in agent chat
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* use ginkgo
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(cron): compute correctly time boundaries avoiding re-triggering
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* enhancements, refactorings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* do not flood of healthy checks
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* do not list obvious backends as text backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* tests fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactoring and consolidation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop redundant healthcheck
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* enhancements, refactorings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP response format implementation for audio transcriptions
(cherry picked from commit e271dd764bbc13846accf3beb8b6522153aa276f)
Signed-off-by: Andres Smith <andressmithdev@pm.me>
* Rework transcript response_format and add more formats
(cherry picked from commit 6a93a8f63e2ee5726bca2980b0c9cf4ef8b7aeb8)
Signed-off-by: Andres Smith <andressmithdev@pm.me>
* Add test and replace go-openai package with official openai go client
(cherry picked from commit f25d1a04e46526429c89db4c739e1e65942ca893)
Signed-off-by: Andres Smith <andressmithdev@pm.me>
* Fix faster-whisper backend and refactor transcription formatting to also work on CLI
Signed-off-by: Andres Smith <andressmithdev@pm.me>
(cherry picked from commit 69a93977d5e113eb7172bd85a0f918592d3d2168)
Signed-off-by: Andres Smith <andressmithdev@pm.me>
---------
Signed-off-by: Andres Smith <andressmithdev@pm.me>
Co-authored-by: nanoandrew4 <nanoandrew4@gmail.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* chore(tests): check embeddings differs in llama.cpp
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(llama.cpp): use the correct field for embedding
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(llama.cpp): use embedding type none
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(tests): add test-cases in aio-e2e suite
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add launcher (WIP)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update gomod
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Cleanup, focus on systray
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Separate launcher from main
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add a way to identify the binary version
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Implement save config, and start on boot
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Save installed version as metadata
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Stop LocalAI on quit
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix goreleaser
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Check first if binary is there
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* do not show version if we don't have it
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to build on CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* use fyne package
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add to release
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fyne.Do
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* show WEBUI button only if LocalAI is started
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Default to localhost
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Show rel notes
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update logo
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small improvements and fix tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to fix e2e tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(stablediffusion-ncn): drop in favor of ggml implementation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(ci): drop stablediffusion build
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(tests): add
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(tests): try to fixup current tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to fix tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Tests improvements
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(tests): use quality to specify step
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(tests): switch to sd-1.5
also increase prep time for downloading models
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(refactor): track internally started models by ID
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Just extend options, no need to copy
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Improve debugging for rerankers failures
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Simplify model loading with rerankers
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Be more consistent when generating model options
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Uncommitted code
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make deleteProcess more idiomatic
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Adapt CLI for sound generation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixup threads definition
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Handle corner case where c.Seed is nil
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Consistently use ModelOptions
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Adapt new code to refactoring
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Dave <dave@gray101.com>
* fix(grammar): Fix JSON mode and custom grammar
* tests(aio): add jsonmode test
* tests(aio): add functioncall test
* fix(aio): use hermes-2-pro-mistral as llm for CPU profile
* add phi-2-orange
* readme: update quickstart
* aio(gpu): fix dreamshaper
* tests(aio): allow to run tests also against an endpoint
* docs: split content
* tests: less verbosity
---------
Co-authored-by: Dave <dave@gray101.com>
