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test/distributed-e2e-ci
9
Commits
| Author | SHA1 | Message | Date | |
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 lei_lei
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f28e8b24e6 |
fix(ollama): accept :latest tag on model lookup (#11732)
/api/tags appends :latest to untagged names, but chat and the other model endpoints looked the tagged name up as-is and 404'd. Signed-off-by: lei_lei <96427312+leilei3167@users.noreply.github.com> |
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Ettore Di Giacinto
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2383726d6d |
Revert "chore(tests): Avoid network, sleep and more during tests" (#11601)
Revert "chore(tests): Avoid network, sleep and more during tests (#11050)"
This reverts commit
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Richard Palethorpeandlocalai-org-maint-bot
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cb3bf7af3f |
chore(tests): Avoid network, sleep and more during tests (#11050)
* test: make coverage failures observable Keep per-root logs, reject concurrent coverage runs, and avoid relying on /bin/sleep in the worker timeout test. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: parallelize coverage without remote fixtures Assisted-by: Codex:gpt-5 [apply_patch] [exec_command] Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: add offline resource infrastructure Introduce versioned resource manifests, a checksum-verified CAS preparer, offline test wrappers, and a guarded network transport. Replace live Hugging Face, GitHub, and OCI cases with deterministic fixtures and inject fixture metadata into importer discovery. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: enforce offline resource replay Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: harden offline resource refresh Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: expose slow coverage waits Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: eliminate avoidable wall-clock waits Inject a clock into Hugging Face retry handling, reuse a process-scoped PostgreSQL container with per-spec schemas in the nodes suite, and poll local import jobs promptly. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: remove repeated fixture startup waits Share PostgreSQL fixtures across parallel endpoint and agent suite workers, and make the worker Free deadline injectable so the wedged-backend test does not spend five seconds on wall-clock time. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: fix offline resource CI portability Normalize Docker archive metadata before content addressing, derive archive checksums during explicit refreshes, make network lint portable to macOS, and prepare distributed images before running their offline suite. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: cache Go modules before offline tests Warm the complete module graph before the Linux and macOS test jobs enter offline replay mode, so tool dependencies such as Ginkgo are not fetched through the guarded proxy. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: drop the static network lint in favour of real isolation The offline test suite already prevents tests from reaching the network twice over: run-test-linux-offline.sh puts the test process in a cgroup and REJECTs egress outside the private ranges, and HardenedTransport installs testnetwork.LocalGuard to refuse dials that resolve to a public address. Both fail the test with a precise error at the moment of the dial. test-network-lint.sh added neither. Its diff stage defaulted to a HEAD base, so on a clean checkout it compared the tree against itself and inspected nothing; the branch's own commits were never examined. It only produced output when an earlier job step dirtied the tree, and then it matched a bare https?:// against whatever changed. make react-ui runs npm install rather than npm ci, so CI rewrote core/http/react-ui/package-lock.json and the lint reported an npm registry URL as forbidden test network access: + "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.25.tgz", Its fingerprint stage was self-defeating in a quieter way: hashing the whole tree's network-mechanism inventory meant every rebase onto a master that touched any _test.go needed a manual baseline bump, so the check mostly caught its own staleness. Remove the script, its make target and the two prerequisite edges, along with the test-network: fixture markers that existed only to suppress it. The isolation itself is untouched. Assisted-by: Claude:claude-opus-5 [go vet] Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: keep hidden files in the offline test bundle artifact Cherry-picked from 15a37b0ac on the remote branch. The offline bundle lives under .cache/, which actions/upload-artifact skips by default, so the Linux job packed an artifact missing the very file the next step restores. The other half of 15a37b0ac moved test-network-lint out of the `test` and `test-coverage` prerequisite lists into a recipe line, so parallel make could not fingerprint the tree while generated fixtures were still changing. That is dropped: the preceding commit removes the lint entirely, and the race it worked around is one more reason a whole-tree fingerprint was the wrong mechanism. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * refactor: share bounded exponential backoff Use overflow-safe saturating arithmetic for retry delays across model import polling, downloads, registration, node operations, and model loading. Keep model import status checks responsive initially while capping their interval at 500ms. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: mirror Jetson Python wheels Keep the CUDA aarch64 wheel subset in GHCR and serve it as a local PEP 503 index during L4T backend builds, preserving last-known-good packages through upstream outages. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * docs(agents): index the Jetson wheels mirror Mention the GHCR-hosted L4T wheel mirror in the CI caching guide summary so maintainers can find its outage and cache documentation. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: add defensive build network proxy Record build destinations and byte counts, retry observable idempotent HTTP downloads, and isolate explorer database tests that race under coverage. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(kokoros): implement updated backend trait Return unimplemented for image upscaling, matching the backend's other unsupported modalities after the protobuf API update. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): clear recovered proxy errors Do not mark a request failed when a later safe retry succeeds. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: require HTTPS build interception Inject a short-lived proxy CA into BuildKit and Dockerfile RUN steps, reject plain HTTP and opaque tunnels, and retain method/status/byte telemetry for verified HTTPS traffic. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): preserve system trust in unproxied builds Mount the generated interception CA at a dedicated secret path and add it to the trust bundle only in proxy-aware dependency stages. This prevents optional secret mounts from masking the system CA bundle in ordinary backend test builds. Install the requested Go toolchain before starting the proxy and satisfy cleanup error checks found by CI lint. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): persist build proxy trust Install the generated proxy CA through the system-managed local certificate directory so ca-certificates upgrades retain it. Avoid turning canceled matrix jobs into proxy cleanup failures. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): trust proxy in nested build scripts Install the build proxy CA before nested source fetches, route the DS4 package setup through the HTTPS mirror helper, and avoid repeated OCI setup in gallery behavior tests. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): use HTTPS apt sources for Bonsai Rewrite ARM64 package sources before installing GCC and check gallery fixture cleanup errors so the optimized tests satisfy errcheck. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(privacy-filter): trust build proxy CA Install the mounted build proxy certificate before privacy-filter's make target fetches its HTTPS sources, for both source and prebuilt builder paths.\n\nAssisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: fail on hidden offline egress Count cgroup-scoped firewall rejects and fail the offline test harness with bounded aggregate diagnostics. Inject the gen-audio GGUF probe so fixture-backed importer tests do not attempt real network access. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): preserve system CA trust Build a combined runner certificate bundle instead of replacing public roots with the generated proxy CA. Centralize additive container installation in the shared proxy CA helper. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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7a8db9b1f1 |
fix(ollama): set ContextSize via the embedded LLMConfig so the package builds (#11049)
The num_ctx clamping specs added in #11032 construct their fixture with
`config.ModelConfig{ContextSize: &existing}`, but ContextSize is not a
direct field of ModelConfig: it belongs to LLMConfig, which ModelConfig
embeds inline. Go allows reading a promoted field but not setting one in
a composite literal, so the test file has never compiled:
helpers_internal_test.go:33:31: unknown field ContextSize in struct
literal of type "github.com/mudler/LocalAI/core/config".ModelConfig
This broke `make lint` on master from
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Tai An
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bf19758e05 |
fix(ollama): cap num_ctx so it cannot wrap negative when cast to int32 (#11032)
* fix(ollama): cap num_ctx so it cannot wrap negative when cast to int32 applyOllamaOptions copied a client-supplied options.num_ctx straight into cfg.ContextSize with only a > 0 check. That value is later cast to int32 before it reaches the backend (core/backend/options.go), so a num_ctx above math.MaxInt32 silently wrapped into a negative context size that was then sent to the LoadModel gRPC call. Both /api/chat and /api/generate share applyOllamaOptions, so both endpoints were affected. Cap num_ctx at math.MaxInt32 so the later cast stays positive, and add internal regression coverage for the overflow, in-range, and unset cases. num_ctx remains an intentional user override, so this does not re-impose the hardware-aware auto context clamp; that policy choice is left to maintainers. Fixes #11022 Signed-off-by: Tai An <antai12232931@outlook.com> * fix(ollama): clamp num_ctx to model context ceiling, not just int32 Per review on #11032: capping only at math.MaxInt32 still let an unauthenticated request replace the hardware/model-derived context limit with ~2.1B tokens, so a real backend could attempt a catastrophic KV-cache allocation. Treat any existing positive cfg.ContextSize as the server ceiling and clamp num_ctx down to it (smaller values still honored), while retaining the int32-safe bound when no smaller ceiling exists. Shared by /api/chat and /api/generate via applyOllamaOptions. Add regression coverage proving num_ctx=2,000,000,000 cannot replace an existing 4096/8192 ceiling. Signed-off-by: Tai An <antai12232931@outlook.com> --------- Signed-off-by: Tai An <antai12232931@outlook.com> |
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LocalAI [bot]andEttore Di Giacinto
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b0959d4756 |
feat(api): add GET /v1/models/capabilities endpoint (#10687)
Additive superset of /v1/models that enriches each model entry with the capabilities it supports plus its input/output modalities (text / image / audio / video). Clients that only understand /v1/models are unaffected -- they simply never call the new route. Audio and video *input* are derived from the model's multimodal limits (vLLM limit_mm_per_prompt), which no single usecase FLAG expresses. That gap is exactly why a plain capability list is insufficient and this enriched endpoint exists: an attachment router can now decide whether an image/audio/video file can go to the active model directly, or must be converted/transcribed first. Capability derivation lives in core/config as the single source of truth (ModelConfig.Capabilities / InputModalities / OutputModalities / VisionSupported / ...); the Ollama capability surface now delegates to it instead of keeping a parallel copy. Vision is gated on chat/completion capability so a MediaMarker hydrated onto a non-chat model (e.g. a pure ASR/TTS backend) no longer reports a false vision capability. Read-only listing: no new FLAG_* flag, reuses the existing `models` swagger tag, and intentionally exposes no MCP admin tool (there is nothing to manage conversationally). Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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LocalAI [bot]andEttore Di Giacinto
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06e777b75e |
feat(distributed): gated X-LocalAI-Node response header (middleware + wrapper) (#9976)
* feat(distributed): add per-request node ID context holder Introduce pkg/distributedhdr, a leaf package carrying a per-request *atomic.Value holder for the picked worker node ID from the SmartRouter (core/services/nodes) up to the HTTP response writer wrapper (core/http/middleware). Avoids the import cycle that a shared key in either consumer would create. Exposes NewHolder, WithHolder, Holder, Stamp, Load, Inherit. The holder is atomic.Value so cross-goroutine publish from the router to the response writer wrapper is race-clean. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(distributed): add ExposeNodeHeader middleware + response writer wrapper New ApplicationConfig.ExposeNodeHeader bool + --expose-node-header CLI flag / LOCALAI_EXPOSE_NODE_HEADER env var (default off; the node ID reveals internal topology and is opt-in). The middleware creates a per-request *atomic.Value holder, attaches it to c.Request().Context() via distributedhdr.WithHolder, and wraps c.Response().Writer with a custom http.ResponseWriter that sets the X-LocalAI-Node header on first Write / WriteHeader / Flush by reading the holder. Implements http.Flusher, http.Hijacker, Unwrap so it composes cleanly with Echo and http.NewResponseController. request.go propagates the holder onto derived contexts via distributedhdr.Inherit so the holder survives the correlation-ID context replacement. Unit + race-clean concurrency + integration specs. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(distributed): stamp node ID in router and wire middleware to inference routes ModelRouterAdapter.Route stamps the picked node ID into the per-request holder via distributedhdr.Stamp(ctx, result.Node.ID) right after replica selection. Wire ExposeNodeHeader middleware to: - OpenAI chat/completion/embeddings + audio transcriptions/speech + image generations/inpainting - Anthropic /v1/messages - Ollama /api/chat, /api/generate, /api/embed, /api/embeddings - Jina /v1/rerank - LocalAI /v1/vad The middleware's wrapper reads the holder on first byte and sets the X-LocalAI-Node response header before delegating to the underlying writer. Per-request scope means no race under concurrent multi-replica routing. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(distributed): thread request context through backend Load + cover ctx propagation Five non-OpenAI backend helpers were silently using app.Context instead of the request context for the gRPC backend call: transcription, TTS, image generation, rerank, VAD. Effect: distributedhdr.Stamp in the router callback was a silent no-op for these paths, AND client cancellation didn't propagate to in-flight inference. Thread c.Request().Context() (or the equivalent input.Context after the request middleware has installed the correlation-ID derived context) through each helper and into ModelOptions via model.WithContext(ctx). ImageGeneration's signature gains a leading ctx parameter; in-tree callers (openai image, openai inpainting, openai inpainting_test) are updated to match. ModelEmbedding gains a leading ctx parameter for the same reason; the openai and ollama embedding handlers pass the request context through. chat_stream_workers.go defers the initial role=assistant chunk emission until the first token callback so the wrapper's lazy X-LocalAI-Node lookup against the loader runs AFTER ml.Load has stamped the per-modelID node ID; semantically identical for clients (role still arrives before any text). Regression test core/backend/ctx_propagation_test.go pins ctx propagation for all five helpers. Docs updated to enumerate the full endpoint coverage of the --expose-node-header flag. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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LocalAI [bot]andEttore Di Giacinto
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bc3fb16105 |
feat(ollama): report model capabilities + details on /api/tags and /api/show (#9766)
Ollama-compatible clients (Open WebUI, Enchanted, ollama-grid-search,
etc.) rely on the `capabilities` list and `details.{parameter_size,
quantization_level,families}` fields returned by /api/tags and
/api/show to decide which models are eligible for a given task --
for example to filter the "embedding model" picker. Upstream Ollama
returns these; LocalAI's compat layer was leaving them empty, so
embedding models were silently rejected by clients that only allow
chat models for chat and only allow embedding models for embeddings.
This wires up the existing config signals already present in
ModelConfig:
- modelCapabilities() derives the Ollama capability strings from the
config: "embedding" (FLAG_EMBEDDINGS), "completion" (FLAG_CHAT /
FLAG_COMPLETION), "vision" (explicit KnownUsecases bit or MMProj /
multimodal template / backend media marker), "tools" (auto-detected
ToolFormatMarkers, JSON/Response regex, XML format, grammar
triggers), "thinking" (ReasoningConfig with reasoning not disabled)
and "insert" (presence of a completion template).
- modelDetailsFromModelConfig() now fills families, parameter_size
and quantization_level. The latter two are parsed from the GGUF
filename via regex -- conservative tokens only (Q*/IQ*/F16/F32/BF16
and \d+(\.\d+)?[BM] surrounded by separators) so we don't accidentally
match "Qwen3" as "3B".
- modelInfoFromModelConfig() exposes general.architecture and
general.context_length in the new ShowResponse.model_info map.
Note: HasUsecases(FLAG_VISION) cannot be used directly -- GuessUsecases
has no FLAG_VISION case and returns true at the end for any chat model.
hasVisionSupport() instead reads KnownUsecases explicitly plus MMProj /
template / media-marker signals.
Tests are written first (TDD) using Ginkgo/Gomega -- DescribeTable for
the capability mapping (embedding-only, chat, vision, thinking, tools
via markers, tools via JSON regex, no-capability rerank) plus
integration tests against ShowModelEndpoint that round-trip JSON
through a real ModelConfigLoader populated from a temp YAML file.
Fixes #9760.
Assisted-by: Claude Code:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto
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85be4ff03c |
feat(api): add ollama compatibility (#9284)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |