From 885f3a3231c7d8f143e751ed2515683c4f8c1c6d Mon Sep 17 00:00:00 2001 From: Yi Lu Date: Fri, 28 Aug 2026 15:25:47 -0700 Subject: [PATCH] fix: remove ChromaDB and patch vulnerable runtime dependencies --- README.md | 7 + pyproject.toml | 22 +- reflexio/cli/commands/services.py | 2 +- reflexio/cli/commands/setup_cmd.py | 26 +- .../openclaw/plugin/pyproject.toml | 2 - .../plugin/scripts/backend-service.sh | 2 +- .../openclaw/plugin/scripts/smart-install.sh | 2 +- reflexio/integrations/openclaw/plugin/uv.lock | 1337 ++++------------- reflexio/server/llm/model_defaults.py | 20 +- .../llm/providers/local_embedding_provider.py | 245 ++- .../llm/providers/nomic_embedding_provider.py | 4 +- tests/cli/test_services_first_run.py | 8 +- tests/cli/test_setup_cmd.py | 38 +- tests/conftest.py | 2 +- .../test_service_mode_embedding_e2e.py | 5 +- tests/server/llm/test_litellm_client.py | 129 +- .../llm/test_local_embedding_provider.py | 269 ++-- tests/server/llm/test_model_defaults.py | 14 +- uv.lock | 1273 ++++------------ 19 files changed, 1169 insertions(+), 2238 deletions(-) diff --git a/README.md b/README.md index e189a7c17..da9ffa727 100644 --- a/README.md +++ b/README.md @@ -154,6 +154,13 @@ service is unavailable, automatic reranking is silently skipped and retrieval order is preserved. An unavailable remote/internal service is reported while search still fails open. +The default local model, `local/minilm-l6-v2`, uses ONNX Runtime, tokenizers, +and NumPy directly; ChromaDB is not required. It retains the existing +384-dimensional MiniLM vectors padded to 512 dimensions and the cache at +`~/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx`. A cold cache downloads the +~80 MB model archive and verifies its SHA-256 before extraction. Prepopulate +this cache for offline use; existing MiniLM databases do not need reindexing. + For a source checkout, open **[http://localhost:8062](http://localhost:8062)** to interactively browse and try out the API.

diff --git a/pyproject.toml b/pyproject.toml index fc5b85042..1ce36d08f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,17 +16,18 @@ dependencies = [ "pyyaml>=6.0", # Server deps "fastapi>=0.111.1", + # Explicit security floors for FastAPI's parser and Braintrust's Git helper. + "starlette>=1.3.1", + "gitpython>=3.1.58", "uvicorn>=0.34.0", "openai>=2.8.0", "anthropic>=0.72.0", - "litellm>=1.80.11", + "litellm>=1.98.0,<2", "braintrust>=0.12.0", - "cryptography>=45.0.0", - "python-jose>=3.3.0", + "cryptography>=50.0.1", "passlib>=1.7.4", "tenacity>=9.0.0", "bcrypt>=4.2.1", - "duckduckgo-search>=7.0.1", "xlsxwriter>=3.2.2", "hdbscan>=0.8.40", "redis>=6.2.0", @@ -37,22 +38,23 @@ dependencies = [ "colorlog>=6.10.1", "httpx>=0.28.1", "pydantic[email]>=2.13.0", - "nltk>=3.9.3", - "json-repair>=0.30.0", + "json-repair>=0.60.1", "gepa>=0.1.1,<0.2", # CLI "typer>=0.15.0", "rich>=13.0.0", - "chromadb>=1.5.8", - # Cross-encoder reranker + local embedding providers — chromadb pulls - # ``sentence-transformers`` transitively, but we depend on it directly - # so the CrossEncoder/SentenceTransformer surface is guaranteed. + # Direct MiniLM ONNX inference; no vector database dependency. + "onnxruntime>=1.23.2", + "tokenizers>=0.22.0", + "numpy>=1.26.0", + # Cross-encoder reranker and Nomic local embeddings. "sentence-transformers>=3.0", "einops>=0.8.0", # Native KNN search via the sqlite-vec loadable extension. A pure-Python # fallback exists (see sqlite_storage/_base.py) for the rare platform whose # SQLite build can't load extensions, but ship the fast path by default. "sqlite-vec>=0.1.6", + "urllib3>=2.7.0", ] [project.optional-dependencies] diff --git a/reflexio/cli/commands/services.py b/reflexio/cli/commands/services.py index 5d59fc8c0..9e1c0a78f 100644 --- a/reflexio/cli/commands/services.py +++ b/reflexio/cli/commands/services.py @@ -37,7 +37,7 @@ def _ensure_llm_configured(env_path: Path) -> None: (conditionally) prompt for an embedding key, re-load the .env so the new values land in ``os.environ``, and return. - Missing only an embedding key (e.g. user set ANTHROPIC_API_KEY - manually) AND chromadb is unavailable → prompt only for an + manually) AND ONNX dependencies are unavailable → prompt only for an embedding provider. - No LLM key, non-interactive stdin (CI, nohup, container) → print a clean pointer to the .env file and raise ``typer.Exit(1)`` so the diff --git a/reflexio/cli/commands/setup_cmd.py b/reflexio/cli/commands/setup_cmd.py index cfa993abe..0f4d5fe9e 100644 --- a/reflexio/cli/commands/setup_cmd.py +++ b/reflexio/cli/commands/setup_cmd.py @@ -149,7 +149,7 @@ def _prompt_llm_provider(env_path: Path) -> tuple[str, str, str]: def _build_embedding_choices() -> list[tuple[str, str | None, str]]: """Build the interactive embedding-provider menu at call time. - The local option is included only when ``chromadb`` is importable; built + The local option is included only when the ONNX dependencies are importable; built dynamically so the menu always reflects the current Python environment rather than a snapshot frozen at module load. @@ -159,11 +159,11 @@ def _build_embedding_choices() -> list[tuple[str, str | None, str]]: provider (no API key needed). """ from reflexio.server.llm.providers.local_embedding_provider import ( - is_chromadb_importable, + are_local_embedding_dependencies_available, ) choices: list[tuple[str, str | None, str]] = [] - if is_chromadb_importable(): + if are_local_embedding_dependencies_available(): choices.append( ( "local", @@ -217,7 +217,7 @@ def _prompt_embedding_provider(env_path: Path, llm_provider_key: str) -> str | N return None # Non-interactive: pick the first available option without prompting. When - # chromadb is importable that's local (no key required); otherwise it's + # ONNX dependencies are importable that's local (no key required); otherwise it's # OpenAI or Gemini, which still won't have an API key but at least the # caller knows the wizard didn't block. if _is_non_interactive(): @@ -307,7 +307,7 @@ def _choose_embedding_provider(env_path: Path, *, embedding_flag: str) -> str | | | | picks the embedder. | +-----------------+----------------+-------------------------------------+ | ``"auto"`` | interactive | Show the menu (default = local | - | | | when chromadb is importable). Write | + | | | when ONNX deps are installed). Write | | | | the choice to org config; for | | | | OpenAI / Gemini also collect the | | | | API key inline. | @@ -328,18 +328,18 @@ def _choose_embedding_provider(env_path: Path, *, embedding_flag: str) -> str | """ if embedding_flag in _EMBEDDING_MODEL_NAMES: # Explicit non-default flag wins over interactive / auto-detection. - # ``--embedding=local`` requires chromadb at runtime, so refuse to + # ``--embedding=local`` requires ONNX dependencies at runtime, so refuse to # persist a broken override the same way the interactive flow # hides the option in that situation. if embedding_flag == "local": from reflexio.server.llm.providers.local_embedding_provider import ( - is_chromadb_importable, + are_local_embedding_dependencies_available, ) - if not is_chromadb_importable(): + if not are_local_embedding_dependencies_available(): typer.echo( - "Error: --embedding=local requires chromadb. " - "Install it with `pip install chromadb` or pick " + "Error: --embedding=local requires ONNX dependencies. " + "Install them with `pip install onnxruntime tokenizers numpy` or pick " "openai/gemini/auto." ) raise typer.Exit(1) @@ -353,7 +353,7 @@ def _choose_embedding_provider(env_path: Path, *, embedding_flag: str) -> str | choices = _build_embedding_choices() if not choices: - # No providers available (chromadb not importable AND no cloud + # No providers available (ONNX dependencies not importable AND no cloud # embedders in scope). Defer to runtime auto-detection, which will # raise a clear error if nothing matches. return None @@ -862,7 +862,7 @@ def openclaw( storage_label = _prompt_storage(env_path) # Step 2.5: Upfront embedding-provider step. Local is the default when - # chromadb is importable; the choice persists to org config so it + # ONNX dependencies are importable; the choice persists to org config so it # survives later cloud-key changes. Skipped for remote storage modes # for the reason above. is_remote = storage_label in {"Managed Reflexio", "Self-hosted Reflexio"} @@ -985,7 +985,7 @@ def init( display_name, model, _ = _prompt_llm_provider(env_path) # Step 2.5: Upfront embedding-provider step. Local is the default when - # chromadb is importable; the choice is persisted to org config so it + # ONNX dependencies are importable; the choice is persisted to org config so it # survives later cloud-key changes. Skipped for both Managed and # Self-hosted modes — the remote server owns its own model config and # a local override would just shadow whatever the operator set there. diff --git a/reflexio/integrations/openclaw/plugin/pyproject.toml b/reflexio/integrations/openclaw/plugin/pyproject.toml index da6bf9b28..00daa253c 100644 --- a/reflexio/integrations/openclaw/plugin/pyproject.toml +++ b/reflexio/integrations/openclaw/plugin/pyproject.toml @@ -6,8 +6,6 @@ readme = "README.md" requires-python = ">=3.12" dependencies = [ "reflexio-ai", - # Used by reflexio's local embedding provider (ONNXMiniLM_L6_V2). - "chromadb>=0.5", "einops>=0.8.0", ] diff --git a/reflexio/integrations/openclaw/plugin/scripts/backend-service.sh b/reflexio/integrations/openclaw/plugin/scripts/backend-service.sh index 27d78ef51..19e1a71e4 100755 --- a/reflexio/integrations/openclaw/plugin/scripts/backend-service.sh +++ b/reflexio/integrations/openclaw/plugin/scripts/backend-service.sh @@ -232,7 +232,7 @@ case "$CMD" in echo "$svc_pid" > "$PID_FILE" # Give uvicorn up to ~10s to answer /health. The very first boot - # after a fresh checkout may be slower (LiteLLM import, chromadb + # after a fresh checkout may be slower (LiteLLM import, ONNX Runtime # warmup). We always return ok; the backend catches up in background # if it needs to. for _ in 1 2 3 4 5 6 7 8 9 10; do diff --git a/reflexio/integrations/openclaw/plugin/scripts/smart-install.sh b/reflexio/integrations/openclaw/plugin/scripts/smart-install.sh index 67b724b10..eea631f3e 100755 --- a/reflexio/integrations/openclaw/plugin/scripts/smart-install.sh +++ b/reflexio/integrations/openclaw/plugin/scripts/smart-install.sh @@ -249,7 +249,7 @@ if ! grep -q '^OPENCLAW_SMART_USE_LOCAL_CLI=' "$REFLEXIO_ENV"; then echo "[openclaw-smart] appended OPENCLAW_SMART_USE_LOCAL_CLI=1 to $REFLEXIO_ENV" >&2 fi if ! grep -q '^OPENCLAW_SMART_USE_LOCAL_EMBEDDING=' "$REFLEXIO_ENV"; then - printf '# Use the in-process ONNX embedder (chromadb) — no API key for semantic search\nOPENCLAW_SMART_USE_LOCAL_EMBEDDING=1\n' >> "$REFLEXIO_ENV" + printf '# Use the in-process ONNX embedder (ONNX Runtime) — no API key for semantic search\nOPENCLAW_SMART_USE_LOCAL_EMBEDDING=1\n' >> "$REFLEXIO_ENV" echo "[openclaw-smart] appended OPENCLAW_SMART_USE_LOCAL_EMBEDDING=1 to $REFLEXIO_ENV" >&2 fi diff --git a/reflexio/integrations/openclaw/plugin/uv.lock b/reflexio/integrations/openclaw/plugin/uv.lock index 1d83f1458..1511f012f 100644 --- a/reflexio/integrations/openclaw/plugin/uv.lock +++ b/reflexio/integrations/openclaw/plugin/uv.lock @@ -18,7 +18,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.13.5" +version = "3.14.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -27,78 +27,93 @@ dependencies = [ { name = "frozenlist" }, { name = "multidict" }, { name = "propcache" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, { name = "yarl" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/77/9a/152096d4808df8e4268befa55fba462f440f14beab85e8ad9bf990516918/aiohttp-3.13.5.tar.gz", hash = "sha256:9d98cc980ecc96be6eb4c1994ce35d28d8b1f5e5208a23b421187d1209dbb7d1", size = 7858271, upload-time = 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b/reflexio/server/llm/model_defaults.py index f819a145b..7d3feda4b 100644 --- a/reflexio/server/llm/model_defaults.py +++ b/reflexio/server/llm/model_defaults.py @@ -29,7 +29,7 @@ # reflexio.server.llm.providers.local_embedding_provider). Surfaces in # ``providers`` only when ``CLAUDE_SMART_USE_LOCAL_EMBEDDING=1`` is set # (claude-smart's explicit opt-in); otherwise the embedding role still -# silently falls back to "local" when chromadb is importable but no +# silently falls back to "local" when ONNX dependencies are importable but no # cloud embedder is configured — see Path 3 in ``_auto_detect_model``. _LOCAL_EMBEDDING_PROVIDER = "local" @@ -129,7 +129,7 @@ def detect_available_providers( # Claude Code CLI and the local ONNX embedder are opt-in via their # own env vars + runtime requirements (`claude` on PATH for the CLI, - # `chromadb` installed for the embedder). Their availability helpers + # ONNX dependencies installed for the embedder). Their availability helpers # own the detection logic so there's one source of truth. from reflexio.server.llm.providers.claude_code_provider import ( is_claude_code_available, @@ -192,7 +192,7 @@ class ProviderDefaults: extraction_agent="claude-code/default", ), # local is an embedding-only provider that routes through an - # in-process ONNX model (chromadb's all-MiniLM-L6-v2). Generation + # in-process ONNX model (all-MiniLM-L6-v2). Generation # roles stay None — use claude-code for those. _LOCAL_EMBEDDING_PROVIDER: ProviderDefaults( generation=None, @@ -381,20 +381,20 @@ def _auto_detect_model( defaults = _PROVIDER_DEFAULTS[provider] if defaults.embedding: return defaults.embedding - # Path 3: no embedding-capable provider in `providers`, but chromadb - # is importable — silently fall back to the local ONNX embedder so + # Path 3: no embedding-capable provider in `providers`, but ONNX dependencies + # are importable — silently fall back to the local ONNX embedder so # users with only a non-embedding LLM key (Anthropic, MiniMax, etc.) # are not blocked at startup. from reflexio.server.llm.providers.local_embedding_provider import ( - is_chromadb_importable, + are_local_embedding_dependencies_available, ) - if is_chromadb_importable(): + if are_local_embedding_dependencies_available(): return _PROVIDER_DEFAULTS[_LOCAL_EMBEDDING_PROVIDER].embedding # type: ignore[return-value] raise RuntimeError( - "No embedding-capable provider configured and chromadb is not " + "No embedding-capable provider configured and ONNX dependencies are not " "importable. Set OPENAI_API_KEY or GEMINI_API_KEY, or " - "`pip install chromadb`." + "`pip install onnxruntime tokenizers numpy`." ) # Non-embedding roles: fall through to the first provider whose slot @@ -474,7 +474,7 @@ def validate_llm_availability( ) if generation_provider is None: # Configurations that surface only embedding-capable providers - # (e.g. ``providers == ["local"]`` from chromadb being importable + # (e.g. ``providers == ["local"]`` from ONNX dependencies being available # but no LLM key set) leave every generation-role lookup # unresolvable. Failing here means the next reflexio call would # raise "No provider supports role=generation" deep inside the diff --git a/reflexio/server/llm/providers/local_embedding_provider.py b/reflexio/server/llm/providers/local_embedding_provider.py index db1d6deb7..4860f764e 100644 --- a/reflexio/server/llm/providers/local_embedding_provider.py +++ b/reflexio/server/llm/providers/local_embedding_provider.py @@ -1,9 +1,9 @@ -"""Local in-process embedder using Chroma's ONNX all-MiniLM-L6-v2. +"""Local in-process all-MiniLM-L6-v2 embeddings using ONNX Runtime. Lets reflexio run without any external embedding API key. Activation is -opt-in via ``CLAUDE_SMART_USE_LOCAL_EMBEDDING=1`` and requires the -``chromadb`` pip package to be installed (we re-use its packaged ONNX -model + tokenizer rather than re-bundling them). +opt-in via ``CLAUDE_SMART_USE_LOCAL_EMBEDDING=1`` (or automatic fallback +when no cloud embedder is configured). Requires ONNX Runtime, tokenizers, +and NumPy; no vector database package or server is involved. The model natively produces 384-dim vectors; reflexio's storage schema expects 512 dims (``EMBEDDING_DIMENSIONS`` in the vec0 virtual tables). @@ -15,15 +15,18 @@ from __future__ import annotations +import hashlib import importlib.util import logging import os import shutil +import tarfile +import tempfile import threading from collections.abc import Iterator from contextlib import contextmanager from pathlib import Path -from typing import Any +from typing import Any, BinaryIO, cast try: import fcntl @@ -46,12 +49,10 @@ _TARGET_DIM = 512 # Conservative character budget to stay under MiniLM's 256-token hard cap. -# ~4 chars/token in English prose; leave headroom so we never raise the -# ValueError that ONNXMiniLM_L6_V2 throws on over-length input. +# The tokenizer also truncates to 256 tokens, including special tokens. _MAX_CHARS = 800 -# Chroma keeps this file list private inside ONNXMiniLM_L6_V2's download helper. -# Keep this in sync with chromadb's all-MiniLM-L6-v2 extracted archive layout. +# Files in the checksum-pinned ONNX archive. _MINILM_EXPECTED_FILES = ( "config.json", "model.onnx", @@ -63,11 +64,137 @@ class LocalEmbedderError(RuntimeError): - """Raised when the local embedder is called without chromadb installed.""" + """Raised when the local embedder cannot load its dependencies or model.""" + + +class ONNXMiniLM: + """Minimal CPU inference adapter for the existing MiniLM model artifact. + + Retains the previous tokenizer, pooling, and normalization contract. + Model provenance: https://github.com/chroma-core/onnx-embedding (Apache-2.0). + The legacy cache location avoids downloading or reindexing on upgrade. + """ + + MODEL_NAME = "all-MiniLM-L6-v2" + DOWNLOAD_PATH = Path.home() / ".cache" / "chroma" / "onnx_models" / MODEL_NAME + EXTRACTED_FOLDER_NAME = "onnx" + ARCHIVE_FILENAME = "onnx.tar.gz" + MODEL_DOWNLOAD_URL = ( + "https://chroma-onnx-models.s3.amazonaws.com/all-MiniLM-L6-v2/onnx.tar.gz" + ) + MODEL_SHA256 = "913d7300ceae3b2dbc2c50d1de4baacab4be7b9380491c27fab7418616a16ec3" + + def __init__(self) -> None: + import numpy as np + import onnxruntime as ort + from tokenizers import Tokenizer + + self._np = np + self._ort = ort + self._tokenizer_cls = Tokenizer + self._tokenizer: Any = None + self._session: Any = None + + def _download_model(self, cache: Path) -> None: + """Verify before extracting; publish a complete directory under the lock.""" + import httpx + + with tempfile.TemporaryDirectory(prefix=".minilm-", dir=cache.parent) as tmp: + staging = Path(tmp) + archive = staging / self.ARCHIVE_FILENAME + digest = hashlib.sha256() + size = 0 + with httpx.stream("GET", self.MODEL_DOWNLOAD_URL, timeout=60) as response: + response.raise_for_status() + with archive.open("wb") as output: + for chunk in response.iter_bytes(1024 * 1024): + size += len(chunk) + if size > 128 * 1024 * 1024: + raise ValueError( + "MiniLM archive exceeds the download limit" + ) + digest.update(chunk) + output.write(chunk) + if digest.hexdigest() != self.MODEL_SHA256: + raise ValueError("MiniLM archive does not match expected SHA256") + + extracted = staging / self.EXTRACTED_FOLDER_NAME + extracted.mkdir() + with tarfile.open(archive) as bundle: + for name in _MINILM_EXPECTED_FILES: + member = bundle.getmember(f"{self.EXTRACTED_FOLDER_NAME}/{name}") + if not member.isfile(): + raise ValueError(f"MiniLM archive member is not a file: {name}") + source = cast(BinaryIO, bundle.extractfile(member)) + # Never extract archive paths or links onto the filesystem. + with source, (extracted / name).open("wb") as output: + shutil.copyfileobj(source, output) + cache.mkdir(parents=True, exist_ok=True) + target = cache / self.EXTRACTED_FOLDER_NAME + if target.exists(): + shutil.rmtree(target) + extracted.replace(target) + + def _load_model(self) -> None: + cache = Path(self.DOWNLOAD_PATH) + with _exclusive_file_lock(_minilm_cache_lock_path(cache)): + if not _minilm_cache_complete(type(self), cache): + self._download_model(cache) + model_dir = cache / self.EXTRACTED_FOLDER_NAME + tokenizer_path = model_dir / "tokenizer.json" + try: + tokenizer = self._tokenizer_cls.from_file(str(tokenizer_path)) + except Exception as exc: # noqa: BLE001 - tokenizers uses generic Exception. + raise LocalEmbedderError(f"Failed to load {tokenizer_path}") from exc + tokenizer.enable_truncation(max_length=256) + tokenizer.enable_padding(pad_id=0, pad_token="[PAD]", length=256) # noqa: S106 - tokenizer marker + options = self._ort.SessionOptions() + options.intra_op_num_threads = 2 + options.inter_op_num_threads = 1 + options.log_severity_level = 3 + options.graph_optimization_level = ( + self._ort.GraphOptimizationLevel.ORT_ENABLE_ALL + ) + self._session = self._ort.InferenceSession( + str(model_dir / "model.onnx"), + sess_options=options, + providers=["CPUExecutionProvider"], + ) + self._tokenizer = tokenizer + + def __call__(self, documents: list[str]) -> list[list[float]]: + if not documents: + return [] + if self._session is None: + self._load_model() + np = self._np + vectors: list[list[float]] = [] + for start in range(0, len(documents), 32): + encoded = [ + self._tokenizer.encode(text) for text in documents[start : start + 32] + ] + ids = np.array([item.ids for item in encoded], dtype=np.int64) + attention = np.array( + [item.attention_mask for item in encoded], dtype=np.int64 + ) + hidden = self._session.run( + None, + { + "input_ids": ids, + "attention_mask": attention, + "token_type_ids": np.zeros_like(ids), + }, + )[0] + mask = np.broadcast_to(np.expand_dims(attention, -1), hidden.shape) + pooled = np.sum(hidden * mask, 1) / np.clip(mask.sum(1), 1e-9, None) + norms = np.linalg.norm(pooled, axis=1) + norms[norms == 0] = 1e-12 + vectors.extend((pooled / norms[:, None]).astype(np.float32).tolist()) + return vectors class LocalEmbedder: - """Lazily-loaded singleton wrapping Chroma's ONNXMiniLM_L6_V2.""" + """Lazily-loaded singleton wrapping direct ONNX MiniLM inference.""" _instance: LocalEmbedder | None = None _lock = threading.Lock() @@ -103,19 +230,16 @@ def _load(self) -> Any: if self._ef is not None: return self._ef try: - from chromadb.utils.embedding_functions import ( # type: ignore[import-not-found] - ONNXMiniLM_L6_V2, - ) + self._ef = ONNXMiniLM() except ImportError as exc: raise LocalEmbedderError( - f"{_ENV_ENABLE}=1 but `chromadb` is not installed. " - "Install with `uv add chromadb` or `pip install chromadb`." + "Local MiniLM dependencies are missing. Install with " + "`pip install onnxruntime tokenizers numpy`." ) from exc - self._ef = ONNXMiniLM_L6_V2() _LOGGER.info( "Initialized local ONNX embedder (model=%s, cache=%s)", - ONNXMiniLM_L6_V2.MODEL_NAME, - ONNXMiniLM_L6_V2.DOWNLOAD_PATH, + ONNXMiniLM.MODEL_NAME, + ONNXMiniLM.DOWNLOAD_PATH, ) return self._ef @@ -140,7 +264,7 @@ def embed(self, texts: list[str]) -> list[list[float]]: ef = self._load() try: raw = ef(safe_inputs) - except Exception as exc: # noqa: BLE001 - Chroma raises varied cache errors. + except Exception as exc: # noqa: BLE001 - Runtime/tokenizer cache errors vary. raw = self._retry_embed_after_cache_clear(ef, exc, safe_inputs) return [_pad(vec) for vec in raw] @@ -175,16 +299,18 @@ def _retry_embed_after_cache_clear( "MiniLM cache %s was refreshed by another process; retrying", cache_path, ) - try: - fresh_ef = embedding_cls() - self._ef = fresh_ef - return fresh_ef(safe_inputs) - except Exception as retry_exc: - raise LocalEmbedderError( - "Local MiniLM cache recovery failed after " - f"{recovery_action} {cache_path}. Delete this cache " - "directory, restart Reflexio, and retry local embedding." - ) from retry_exc + # The adapter takes the same file lock when loading/downloading. + # Release it first to avoid a nested flock deadlock. + try: + fresh_ef = embedding_cls() + self._ef = fresh_ef + return fresh_ef(safe_inputs) + except Exception as retry_exc: + raise LocalEmbedderError( + "Local MiniLM cache recovery failed after " + f"{recovery_action} {cache_path}. Delete this cache " + "directory, restart Reflexio, and retry local embedding." + ) from retry_exc def _pad(vec: Any) -> list[float]: @@ -313,42 +439,27 @@ def _exception_chain(exc: Exception) -> list[BaseException]: _REGISTERED = False -def is_chromadb_importable() -> bool: - """Return True when the ``chromadb`` package is importable. - - Independent of :data:`_ENV_ENABLE` (``CLAUDE_SMART_USE_LOCAL_EMBEDDING``). - Used by callers that want to know whether the local fallback is - *possible* regardless of whether claude-smart has explicitly opted in. - - Returns: - bool: True if ``importlib.util.find_spec("chromadb")`` finds the - package, False otherwise. - """ - return importlib.util.find_spec("chromadb") is not None - - -def register_if_chromadb_available() -> bool: - """Make the local embedder available whenever ``chromadb`` imports. +def are_local_embedding_dependencies_available() -> bool: + """Check all ONNX dependencies without importing heavyweight modules.""" + return all( + importlib.util.find_spec(package) is not None + for package in ("onnxruntime", "tokenizers", "numpy") + ) - This is the env-var-independent companion to - :func:`register_if_enabled`. Called once from ``litellm_client`` at - module import so the local-embedder dispatch is wired up regardless - of whether claude-smart's opt-in env var is set. Idempotent — safe - to call more than once per process. - The actual routing is done by a prefix check in - ``LiteLLMClient.get_embedding(s)``; this function's job is to - eagerly probe for ``chromadb`` and log a clear message. +def register_if_available() -> bool: + """Set the legacy registration flag when ONNX dependencies are discoverable. - Returns: - bool: True if the embedder is usable after this call, False - when ``chromadb`` is not importable. + Idempotent and independent of the opt-in environment flag. The inference + service loads ``LocalEmbedder`` directly and does not require registration. """ global _REGISTERED if _REGISTERED: return True - if not is_chromadb_importable(): - _LOGGER.debug("Local embedder not registered: `chromadb` is not installed.") + if not are_local_embedding_dependencies_available(): + _LOGGER.debug( + "Local embedder not registered: ONNX dependencies are not installed." + ) return False _REGISTERED = True _LOGGER.debug("Registered local MiniLM embedding handler (model=%s)", _MODEL_KEY) @@ -356,10 +467,10 @@ def register_if_chromadb_available() -> bool: def register_if_enabled() -> bool: - """Backwards-compatible alias for :func:`register_if_chromadb_available`. + """Backwards-compatible alias for :func:`register_if_available`. Historically gated on ``CLAUDE_SMART_USE_LOCAL_EMBEDDING=1``; now - delegates to the chromadb-only check so the local embedder is also + delegates to the dependency-only check so the local embedder is also available as a silent fallback when no cloud embedder is configured. The claude-smart opt-in env var continues to drive :func:`is_local_embedder_available` (provider-priority ordering), @@ -369,7 +480,7 @@ def register_if_enabled() -> bool: bool: True if the embedder is usable after this call, False otherwise. """ - return register_if_chromadb_available() + return register_if_available() def is_enabled() -> bool: @@ -383,7 +494,7 @@ def is_enabled() -> bool: def is_local_embedder_available() -> bool: - """Return True iff both the env flag is set and ``chromadb`` imports. + """Return True iff both the env flag is set and the ONNX dependencies are installed. Unlike :func:`is_enabled`, this does not require :func:`register_if_enabled` to have run. It is the predicate @@ -392,19 +503,19 @@ def is_local_embedder_available() -> bool: Returns: bool: True when ``CLAUDE_SMART_USE_LOCAL_EMBEDDING=1`` - AND ``chromadb`` is importable. + AND the ONNX dependencies are importable. """ if os.environ.get(_ENV_ENABLE) != "1": return False - return is_chromadb_importable() + return are_local_embedding_dependencies_available() __all__ = [ "LocalEmbedder", "LocalEmbedderError", - "is_chromadb_importable", + "are_local_embedding_dependencies_available", "is_enabled", "is_local_embedder_available", - "register_if_chromadb_available", + "register_if_available", "register_if_enabled", ] diff --git a/reflexio/server/llm/providers/nomic_embedding_provider.py b/reflexio/server/llm/providers/nomic_embedding_provider.py index 3ac045f5a..4fcab25eb 100644 --- a/reflexio/server/llm/providers/nomic_embedding_provider.py +++ b/reflexio/server/llm/providers/nomic_embedding_provider.py @@ -1,6 +1,6 @@ """Local in-process embedder using ``nomic-ai/nomic-embed-text-v1.5``. -A higher-quality alternative to the chromadb-bundled MiniLM-L6-v2: 137M +A higher-quality alternative to the ONNX MiniLM-L6-v2: 137M parameters, 768-dim native, supports Matryoshka representation (64–768 dimensions without retraining), 8192-token context, Apache-2.0 licensed. Performs comparably to OpenAI's ``text-embedding-3-small`` on MTEB @@ -67,7 +67,7 @@ # does not oversubscribe CPU under bounded concurrency. Unset (the default) = # leave torch untouched, i.e. zero behaviour change. Applies at Nomic model load # (both the in-process fallback and the shared daemon run NomicEmbedder). Note the -# chromadb/minilm LocalEmbedder path uses onnxruntime, not torch, so this knob does +# ONNX/MiniLM LocalEmbedder path uses onnxruntime, not torch, so this knob does # not affect it. _ENV_TORCH_THREADS = "REFLEXIO_EMBED_TORCH_THREADS" _torch_threads_pinned = False diff --git a/tests/cli/test_services_first_run.py b/tests/cli/test_services_first_run.py index bea5b1c24..ff94cc459 100644 --- a/tests/cli/test_services_first_run.py +++ b/tests/cli/test_services_first_run.py @@ -164,7 +164,7 @@ def test_generation_provider_uses_colocated_inference_without_prompt( ), patch( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", return_value=False, ), patch("sys.stdin.isatty", return_value=True), @@ -185,7 +185,7 @@ def test_local_only_provider_still_triggers_llm_wizard( """``providers == ["local"]`` (embedder-only) must NOT skip the LLM wizard. ``detect_available_providers()`` can legally surface only the local - ONNX embedder when chromadb is importable but no LLM key is set. + ONNX embedder when ONNX dependencies are importable but no LLM key is set. That state has ``has_embedding=True`` but no generation provider, so the request still has nothing to drive extraction with — we must prompt for an LLM provider rather than falling through. @@ -199,7 +199,7 @@ def test_local_only_provider_still_triggers_llm_wizard( ), patch( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", return_value=True, ), patch("sys.stdin.isatty", return_value=True), @@ -231,7 +231,7 @@ def test_local_only_provider_non_tty_exits_with_generation_message( ), patch( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", return_value=True, ), patch("sys.stdin.isatty", return_value=False), diff --git a/tests/cli/test_setup_cmd.py b/tests/cli/test_setup_cmd.py index 813cd87b5..28a4f3c48 100644 --- a/tests/cli/test_setup_cmd.py +++ b/tests/cli/test_setup_cmd.py @@ -262,7 +262,7 @@ def test_prompt_embedding_provider_non_tty_picks_local( patch("sys.stdin.isatty", return_value=False), patch( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", return_value=True, ), patch("typer.prompt") as mock_prompt, @@ -270,17 +270,17 @@ def test_prompt_embedding_provider_non_tty_picks_local( # 'anthropic' has no embedding support, so the prompt path runs. result = _prompt_embedding_provider(env, "anthropic") mock_prompt.assert_not_called() - # Local was the first choice when chromadb is importable. + # Local was the first choice when ONNX dependencies are importable. assert result == "Local (MiniLM-L6-v2)" class TestSetupInitEmbeddingStep: """``setup init`` includes the new embedding step and writes org config.""" - def _patch_home_and_chromadb( + def _patch_home_and_local_dependencies( self, monkeypatch: pytest.MonkeyPatch, fake_home: Path ) -> None: - """Redirect ``~`` to a tmp dir and force chromadb to look importable. + """Redirect ``~`` to a tmp dir and force ONNX dependencies to be available. ``LocalFileConfigStorage`` resolves its config path through ``Path.home() / ".reflexio" / "configs"`` when ``base_dir`` is None, @@ -292,11 +292,11 @@ def _patch_home_and_chromadb( # to fall through to the patched `Path.home()`. monkeypatch.delenv("REFLEXIO_LOG_DIR", raising=False) monkeypatch.setattr(Path, "home", staticmethod(lambda: fake_home)) - # ``setup init`` queries chromadb importability via the module-level + # ``setup init`` queries ONNX dependencies importability via the module-level # helper. Force True so the local option appears as choice [1]. monkeypatch.setattr( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", lambda: True, ) @@ -307,7 +307,7 @@ def test_setup_init_includes_embedding_step( from reflexio.cli.commands.setup_cmd import init fake_home = tmp_path / "home" - self._patch_home_and_chromadb(monkeypatch, fake_home) + self._patch_home_and_local_dependencies(monkeypatch, fake_home) env_path = fake_home / ".reflexio" / ".env" env_path.parent.mkdir(parents=True, exist_ok=True) env_path.write_text("") @@ -338,11 +338,11 @@ def _echo(msg: str = "", *_: object, **__: object) -> None: def test_setup_init_local_is_default( self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch ) -> None: - """Pressing Enter at the embedding prompt picks local (chromadb available).""" + """Pressing Enter at the embedding prompt picks local (ONNX dependencies available).""" from reflexio.cli.commands.setup_cmd import init fake_home = tmp_path / "home" - self._patch_home_and_chromadb(monkeypatch, fake_home) + self._patch_home_and_local_dependencies(monkeypatch, fake_home) env_path = fake_home / ".reflexio" / ".env" env_path.parent.mkdir(parents=True, exist_ok=True) env_path.write_text("") @@ -372,7 +372,7 @@ def test_setup_init_local_choice_writes_org_config( from reflexio.cli.commands.setup_cmd import init fake_home = tmp_path / "home" - self._patch_home_and_chromadb(monkeypatch, fake_home) + self._patch_home_and_local_dependencies(monkeypatch, fake_home) env_path = fake_home / ".reflexio" / ".env" env_path.parent.mkdir(parents=True, exist_ok=True) env_path.write_text("") @@ -400,7 +400,7 @@ def test_setup_init_embedding_flag_local( from reflexio.cli.commands.setup_cmd import init fake_home = tmp_path / "home" - self._patch_home_and_chromadb(monkeypatch, fake_home) + self._patch_home_and_local_dependencies(monkeypatch, fake_home) env_path = fake_home / ".reflexio" / ".env" env_path.parent.mkdir(parents=True, exist_ok=True) env_path.write_text("") @@ -437,7 +437,7 @@ def test_setup_init_embedding_flag_auto_no_override( from reflexio.cli.commands.setup_cmd import init fake_home = tmp_path / "home" - self._patch_home_and_chromadb(monkeypatch, fake_home) + self._patch_home_and_local_dependencies(monkeypatch, fake_home) env_path = fake_home / ".reflexio" / ".env" env_path.parent.mkdir(parents=True, exist_ok=True) env_path.write_text("") @@ -465,14 +465,14 @@ def test_setup_init_embedding_flag_auto_no_override( class TestChooseEmbeddingProviderEdgeCases: - """Hardening cases for ``_choose_embedding_provider``: chromadb gating, + """Hardening cases for ``_choose_embedding_provider``: ONNX dependencies gating, config-write ordering, and integration-command embedding-flag validation. """ - def test_local_flag_without_chromadb_exits( + def test_local_flag_without_local_dependencies_exits( self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch ) -> None: - """``--embedding=local`` without chromadb fails fast and writes nothing.""" + """``--embedding=local`` without ONNX dependencies fails fast and writes nothing.""" from reflexio.cli.commands.setup_cmd import _choose_embedding_provider fake_home = tmp_path / "home" @@ -480,7 +480,7 @@ def test_local_flag_without_chromadb_exits( monkeypatch.setattr(Path, "home", staticmethod(lambda: fake_home)) monkeypatch.setattr( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", lambda: False, ) env_path = tmp_path / ".env" @@ -503,7 +503,7 @@ def test_blank_cloud_key_does_not_persist_org_config( monkeypatch.setattr(Path, "home", staticmethod(lambda: fake_home)) monkeypatch.setattr( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", lambda: True, ) # Strip any existing OPENAI_API_KEY so the prompt path runs. @@ -512,7 +512,7 @@ def test_blank_cloud_key_does_not_persist_org_config( env_path = tmp_path / ".env" env_path.write_text("") - # Choices when chromadb is importable: [local, openai, gemini]. + # Choices when ONNX dependencies are importable: [local, openai, gemini]. # Pick choice 2 (openai), then submit an empty key. with ( patch("sys.stdin.isatty", return_value=True), @@ -540,7 +540,7 @@ def test_setup_init_self_hosted_skips_embedding_step( monkeypatch.setattr(Path, "home", staticmethod(lambda: fake_home)) monkeypatch.setattr( "reflexio.server.llm.providers.local_embedding_provider" - ".is_chromadb_importable", + ".are_local_embedding_dependencies_available", lambda: True, ) env_path = fake_home / ".reflexio" / ".env" diff --git a/tests/conftest.py b/tests/conftest.py index a0c9dd1cb..41c6a4434 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -75,7 +75,7 @@ # ``addopts`` passes ``-n auto``, which xdist resolves to the machine's full CPU count. -# Every worker imports torch/chromadb/sentence-transformers and runs real embeddings, so on +# Every worker imports torch/onnxruntime/sentence-transformers and runs real embeddings, so on # a developer laptop that saturates each core and freezes the desktop. CI runners have the # box to themselves and want the full count, so the cap is local-only. _LOCAL_MAX_XDIST_WORKERS = 4 diff --git a/tests/e2e_tests/test_service_mode_embedding_e2e.py b/tests/e2e_tests/test_service_mode_embedding_e2e.py index 15103e0a1..5709fd6ad 100644 --- a/tests/e2e_tests/test_service_mode_embedding_e2e.py +++ b/tests/e2e_tests/test_service_mode_embedding_e2e.py @@ -26,7 +26,7 @@ this test is its regression anchor. The MiniLM (``local/minilm-l6-v2``) model is used deliberately: it is the OSS -default and runs on chromadb's bundled ONNX runtime (no torch / +default and runs on the direct ONNX runtime (no torch / sentence-transformers), so it is the lightest real model that still returns rankable vectors — faithful, but the cheapest faithful. No paid API key is needed (local model), so ``@skip_low_priority`` is not applied; only @@ -47,7 +47,8 @@ import uvicorn from reflexio.lib.reflexio_lib import Reflexio -from reflexio.models.api_schema.domain.entities import ProfileTimeToLive, UserProfile +from reflexio.models.api_schema.domain.entities import UserProfile +from reflexio.models.api_schema.domain.enums import ProfileTimeToLive from reflexio.models.api_schema.retriever_schema import UnifiedSearchRequest from reflexio.models.config_schema import ( Config, diff --git a/tests/server/llm/test_litellm_client.py b/tests/server/llm/test_litellm_client.py index 08c18782f..621d24b63 100644 --- a/tests/server/llm/test_litellm_client.py +++ b/tests/server/llm/test_litellm_client.py @@ -1,9 +1,9 @@ """Offline tests for the LiteLLM client. -Every test here builds a client from a literal config and asserts how that -config resolved -- model selection, API-key routing across providers, Azure -endpoint fields, image encoding. No network, no credential, so they run in the -default unit tier. +Tests build a client from a literal config and check model selection, +API-key routing, Azure endpoint fields, and image encoding. A loopback +integration check also exercises the installed LiteLLM HTTP transport without +external credentials or paid API calls. The tests that actually call OpenAI or Anthropic live in ``tests/e2e_tests/test_litellm_client_real_llm.py``: that path is the only one @@ -12,20 +12,24 @@ against the mock. """ +import json import os import struct import tempfile +import threading import zlib from collections.abc import Generator +from http.server import BaseHTTPRequestHandler, HTTPServer from pathlib import Path import pytest -from pydantic import BaseModel +from pydantic import BaseModel, HttpUrl from reflexio.models.config_schema import ( AnthropicConfig, APIKeyConfig, AzureOpenAIConfig, + CustomEndpointConfig, OpenAIConfig, OpenRouterConfig, ) @@ -33,9 +37,124 @@ LiteLLMClient, LiteLLMClientError, LiteLLMConfig, + ToolCallingChatResponse, _sanitize_json_string, create_litellm_client, ) +from reflexio.test_support.llm_mock import unpatched_litellm + + +@pytest.mark.integration +def test_installed_litellm_transport_round_trip(monkeypatch): + """Exercise Reflexio -> real LiteLLM SDK -> local HTTP -> parsed responses.""" + import litellm + + requests = [] + + class Handler(BaseHTTPRequestHandler): + def do_POST(self): + body = json.loads(self.rfile.read(int(self.headers["Content-Length"]))) + requests.append((self.path, body)) + message = {"role": "assistant", "content": "offline-response"} + finish = "stop" + if body.get("tools"): + message = { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_test", + "type": "function", + "function": { + "name": "finish", + "arguments": '{"answer":42}', + }, + } + ], + } + finish = "tool_calls" + elif body.get("response_format"): + message["content"] = '{"answer":42,"explanation":"loopback"}' + payload = json.dumps( + { + "id": "chatcmpl-test", + "object": "chat.completion", + "created": 1, + "model": "gpt-4o-mini", + "choices": [ + {"index": 0, "message": message, "finish_reason": finish} + ], + "usage": { + "prompt_tokens": 1, + "completion_tokens": 1, + "total_tokens": 2, + }, + } + ).encode() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(payload))) + self.end_headers() + self.wfile.write(payload) + + def log_message(self, *_args): + pass + + monkeypatch.delenv("BRAINTRUST_API_KEY", raising=False) + monkeypatch.setenv("REFLEXIO_BLOCK_PRIVATE_URLS", "false") + monkeypatch.setattr(litellm, "callbacks", []) + with HTTPServer(("127.0.0.1", 0), Handler) as server: + thread = threading.Thread(target=server.serve_forever, daemon=True) + thread.start() + try: + client = LiteLLMClient( + LiteLLMConfig( + model="openai/gpt-4o-mini", + timeout=10, + max_retries=0, + fallback_models=[], + api_key_config=APIKeyConfig( + custom_endpoint=CustomEndpointConfig( + model="openai/gpt-4o-mini", + api_key="loopback-test-key", + api_base=HttpUrl( + f"http://127.0.0.1:{server.server_port}/v1" + ), + ) + ), + ) + ) + with unpatched_litellm(): + assert client.generate_response("hello") == "offline-response" + structured = client.generate_response( + "answer", response_format=MathResult + ) + assert isinstance(structured, MathResult) + assert structured.answer == 42 + tool = { + "type": "function", + "function": { + "name": "finish", + "parameters": MathResult.model_json_schema(), + }, + } + result = client.generate_chat_response( + [{"role": "user", "content": "finish"}], + tools=[tool], + tool_choice="required", + ) + assert isinstance(result, ToolCallingChatResponse) + assert result.tool_calls is not None + assert result.tool_calls[0].function.name == "finish" + assert json.loads(result.tool_calls[0].function.arguments) == { + "answer": 42 + } + assert len(requests) == 3 + assert all(path == "/v1/chat/completions" for path, _ in requests) + assert requests[1][1]["response_format"]["type"] == "json_schema" + finally: + server.shutdown() + thread.join(timeout=5) def create_minimal_png( diff --git a/tests/server/llm/test_local_embedding_provider.py b/tests/server/llm/test_local_embedding_provider.py index dbeed3be5..0a30322d0 100644 --- a/tests/server/llm/test_local_embedding_provider.py +++ b/tests/server/llm/test_local_embedding_provider.py @@ -2,6 +2,8 @@ from __future__ import annotations +import hashlib +import io import sys import tarfile import threading @@ -16,9 +18,9 @@ from reflexio.server.llm.providers import local_embedding_provider as lep from reflexio.server.llm.providers.local_embedding_provider import ( LocalEmbedder, - is_chromadb_importable, + are_local_embedding_dependencies_available, is_local_embedder_available, - register_if_chromadb_available, + register_if_available, register_if_enabled, ) @@ -30,17 +32,16 @@ def _reset_state() -> None: LocalEmbedder._instance = None -def _fake_chroma_module(return_vec: list[float] | None = None) -> MagicMock: - """Build a stand-in ``chromadb.utils.embedding_functions`` module. +def _fake_minilm_module(return_vec: list[float] | None = None) -> MagicMock: + """Build a stand-in MiniLM inference adapter. Args: - return_vec: 384-dim vector the mocked ``ONNXMiniLM_L6_V2`` will + return_vec: 384-dim vector the mocked ``ONNXMiniLM`` will return for every input. Defaults to a simple ramp. Returns: - MagicMock: Parent module object with the ``ONNXMiniLM_L6_V2`` - class attached and ready to be registered with - ``sys.modules``. + MagicMock: Parent module object with the ``ONNXMiniLM`` + class attached for injection into the provider. """ if return_vec is None: return_vec = [float(i) / 384.0 for i in range(384)] @@ -53,29 +54,34 @@ class attached and ready to be registered with ef_class.DOWNLOAD_PATH = "/fake/cache" mod = MagicMock() - mod.ONNXMiniLM_L6_V2 = ef_class + mod.ONNXMiniLM = ef_class return mod -def _install_fake_chroma( +def _install_fake_minilm( monkeypatch: pytest.MonkeyPatch, vec: list[float] | None = None ) -> MagicMock: - """Register a fake chromadb.utils.embedding_functions in sys.modules.""" - fake = _fake_chroma_module(vec) - # Create minimal chromadb parent packages so the provider's relative - # import works regardless of whether the real chromadb is installed. - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + """Inject a fake MiniLM inference adapter.""" + fake = _fake_minilm_module(vec) + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) return fake class TestAvailability: + @pytest.mark.parametrize("missing", ["onnxruntime", "tokenizers", "numpy"]) + def test_each_inference_dependency_is_required(self, monkeypatch, missing): + monkeypatch.setattr( + lep.importlib.util, + "find_spec", + lambda name: None if name == missing else object(), + ) + assert not are_local_embedding_dependencies_available() + def test_not_available_without_env(self, monkeypatch: pytest.MonkeyPatch) -> None: monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) assert is_local_embedder_available() is False - def test_not_available_without_chromadb( + def test_not_available_without_local_dependencies( self, monkeypatch: pytest.MonkeyPatch ) -> None: monkeypatch.setenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", "1") @@ -90,67 +96,67 @@ def test_available_when_both_conditions_met( assert is_local_embedder_available() is True -class TestIsChromadbImportable: - def test_is_chromadb_importable_when_present( +class TestIsLocalDependenciesAvailable: + def test_are_local_embedding_dependencies_available_when_present( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Returns True when ``importlib.util.find_spec`` finds chromadb.""" + """Returns True when ``importlib.util.find_spec`` finds ONNX dependencies.""" monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: MagicMock()) - assert is_chromadb_importable() is True + assert are_local_embedding_dependencies_available() is True - def test_is_chromadb_importable_when_absent( + def test_are_local_embedding_dependencies_available_when_absent( self, monkeypatch: pytest.MonkeyPatch ) -> None: """Returns False when ``importlib.util.find_spec`` returns None.""" monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: None) - assert is_chromadb_importable() is False + assert are_local_embedding_dependencies_available() is False - def test_is_chromadb_importable_independent_of_env_var( + def test_are_local_embedding_dependencies_available_independent_of_env_var( self, monkeypatch: pytest.MonkeyPatch ) -> None: """Importability does not depend on ``CLAUDE_SMART_USE_LOCAL_EMBEDDING``.""" monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: MagicMock()) - assert is_chromadb_importable() is True + assert are_local_embedding_dependencies_available() is True -class TestRegisterIfChromadbAvailable: - def test_register_if_chromadb_available_no_env_var( +class TestRegisterIfAvailable: + def test_register_if_available_no_env_var( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Registers whenever chromadb imports — env var is not required.""" + """Registers whenever ONNX dependencies import — env var is not required.""" monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: MagicMock()) - assert register_if_chromadb_available() is True + assert register_if_available() is True assert lep.is_enabled() is True - def test_register_if_chromadb_available_chromadb_missing( + def test_register_if_available_local_dependencies_missing( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Does not register when chromadb is not importable.""" + """Does not register when ONNX dependencies are not importable.""" monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: None) - assert register_if_chromadb_available() is False + assert register_if_available() is False assert lep.is_enabled() is False - def test_register_if_chromadb_available_idempotent( + def test_register_if_available_idempotent( self, monkeypatch: pytest.MonkeyPatch ) -> None: monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: MagicMock()) - assert register_if_chromadb_available() is True - assert register_if_chromadb_available() is True + assert register_if_available() is True + assert register_if_available() is True class TestRegisterIfEnabled: - """``register_if_enabled`` is now an alias for ``register_if_chromadb_available``. + """``register_if_enabled`` is now an alias for ``register_if_available``. The legacy env-var gate (``CLAUDE_SMART_USE_LOCAL_EMBEDDING``) only drives provider-priority ordering via ``is_local_embedder_available``; registration of the LiteLLM dispatch hook depends solely on whether - ``chromadb`` imports. + `ONNX dependencies` imports. """ - def test_chromadb_missing_does_not_register( + def test_local_dependencies_missing_does_not_register( self, monkeypatch: pytest.MonkeyPatch ) -> None: monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) @@ -158,16 +164,16 @@ def test_chromadb_missing_does_not_register( assert register_if_enabled() is False assert lep.is_enabled() is False - def test_registers_with_chromadb_only( + def test_registers_with_local_dependencies_only( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Env var is no longer required — chromadb alone is sufficient.""" + """Env var is no longer required — ONNX dependencies alone are sufficient.""" monkeypatch.delenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", raising=False) monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: MagicMock()) assert register_if_enabled() is True assert lep.is_enabled() is True - def test_registers_when_env_and_chromadb_set( + def test_registers_when_env_and_local_dependencies_set( self, monkeypatch: pytest.MonkeyPatch ) -> None: monkeypatch.setenv("CLAUDE_SMART_USE_LOCAL_EMBEDDING", "1") @@ -182,9 +188,8 @@ def test_idempotent(self, monkeypatch: pytest.MonkeyPatch) -> None: class TestEmbedPadding: - def test_real_chroma_minilm_attrs_match_cache_recovery_contract(self) -> None: - embedding_functions = pytest.importorskip("chromadb.utils.embedding_functions") - minilm_cls = embedding_functions.ONNXMiniLM_L6_V2 + def test_real_minilm_attrs_match_cache_recovery_contract(self) -> None: + minilm_cls = lep.ONNXMiniLM assert minilm_cls.MODEL_NAME == "all-MiniLM-L6-v2" assert minilm_cls.DOWNLOAD_PATH.name == minilm_cls.MODEL_NAME @@ -224,10 +229,8 @@ def __call__(self, docs: list[str]) -> list[list[float]]: return [[0.1] * 384 for _ in docs] fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = FailingThenWorkingMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = FailingThenWorkingMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) result = LocalEmbedder.get().embed(["hello"]) @@ -250,10 +253,8 @@ def __init__(self) -> None: raise ValueError("The onnxruntime python package is not installed") fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = FailingConstructorMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = FailingConstructorMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) with pytest.raises(ValueError, match="onnxruntime"): LocalEmbedder.get().embed(["hello"]) @@ -286,7 +287,7 @@ class MiniLM: assert cache_dir.exists() assert (cache_dir / "partial-download").exists() - def test_cache_clear_and_retry_run_under_filesystem_lock( + def test_cache_clear_is_locked_and_retry_can_reacquire_lock( self, monkeypatch: pytest.MonkeyPatch, tmp_path ) -> None: cache_dir = tmp_path / "chroma" / "onnx_models" / "all-MiniLM-L6-v2" @@ -319,14 +320,12 @@ def __call__(self, docs: list[str]) -> list[list[float]]: attempts += 1 if attempts == 1: raise tarfile.ReadError("bad checksum") - assert lock_active + assert not lock_active # adapter must acquire its own download lock return [[0.2] * 384 for _ in docs] fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = FailingThenWorkingMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = FailingThenWorkingMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) monkeypatch.setattr(lep, "_exclusive_file_lock", fake_file_lock) shutil_rmtree = lep.shutil.rmtree monkeypatch.setattr(lep.shutil, "rmtree", checked_rmtree) @@ -358,10 +357,8 @@ def __call__(self, _docs: list[str]) -> list[list[float]]: raise RuntimeError("still corrupt") fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = AlwaysFailingMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = AlwaysFailingMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) with pytest.raises(lep.LocalEmbedderError) as exc_info: LocalEmbedder.get().embed(["hello"]) @@ -403,10 +400,8 @@ def __call__(self, docs: list[str]) -> list[list[float]]: return [[0.4] * 384 for _ in docs] fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = RecoveredMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = RecoveredMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) monkeypatch.setattr(lep, "_exclusive_file_lock", fake_file_lock) rmtree = MagicMock() monkeypatch.setattr(lep.shutil, "rmtree", rmtree) @@ -437,10 +432,8 @@ def __call__(self, _docs: list[str]) -> list[list[float]]: raise tarfile.ReadError("bad checksum") fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = UnrelatedTarErrorMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = UnrelatedTarErrorMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) rmtree = MagicMock() monkeypatch.setattr(lep.shutil, "rmtree", rmtree) @@ -451,7 +444,7 @@ def __call__(self, _docs: list[str]) -> list[list[float]]: assert extracted_dir.exists() def test_384_vector_padded_to_512(self, monkeypatch: pytest.MonkeyPatch) -> None: - _install_fake_chroma(monkeypatch) + _install_fake_minilm(monkeypatch) result = LocalEmbedder.get().embed(["hello"]) @@ -462,7 +455,7 @@ def test_384_vector_padded_to_512(self, monkeypatch: pytest.MonkeyPatch) -> None assert any(x != 0.0 for x in result[0][:384]) def test_batch_embedding(self, monkeypatch: pytest.MonkeyPatch) -> None: - _install_fake_chroma(monkeypatch) + _install_fake_minilm(monkeypatch) result = LocalEmbedder.get().embed(["a", "b", "c"]) @@ -473,28 +466,128 @@ def test_long_input_truncated_by_char_cap( self, monkeypatch: pytest.MonkeyPatch ) -> None: """Very long strings are clipped to stay under MiniLM's 256-token cap.""" - fake = _install_fake_chroma(monkeypatch) + fake = _install_fake_minilm(monkeypatch) long_text = "x" * 10_000 LocalEmbedder.get().embed([long_text]) # The mock embedding function receives the truncated input, # not the original 10_000 characters. - ef_instance = fake.ONNXMiniLM_L6_V2.return_value + ef_instance = fake.ONNXMiniLM.return_value call_args = ef_instance.call_args.args[0] assert len(call_args[0]) <= 1000 - def test_missing_chromadb_raises_clear_error( + def test_missing_local_dependencies_raises_clear_error( self, monkeypatch: pytest.MonkeyPatch ) -> None: - monkeypatch.setitem(sys.modules, "chromadb", None) - monkeypatch.setitem(sys.modules, "chromadb.utils", None) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", None) + monkeypatch.setitem(sys.modules, "onnxruntime", None) - with pytest.raises(lep.LocalEmbedderError, match="chromadb"): + with pytest.raises(lep.LocalEmbedderError, match="dependencies are missing"): LocalEmbedder.get().embed(["hi"]) +class TestModelDownload: + @pytest.fixture + def model_archive(self, monkeypatch, tmp_path): + """Serve a tiny real tar archive through the HTTP streaming interface.""" + archive = io.BytesIO() + with tarfile.open(fileobj=archive, mode="w:gz") as bundle: + for name in lep._MINILM_EXPECTED_FILES: + content = f"fixture-{name}".encode() + member = tarfile.TarInfo(f"onnx/{name}") + member.size = len(content) + bundle.addfile(member, io.BytesIO(content)) + # Unselected archive paths must never be written to disk. + member = tarfile.TarInfo("../../outside") + member.size = 1 + bundle.addfile(member, io.BytesIO(b"x")) + payload = archive.getvalue() + response = MagicMock() + response.iter_bytes.side_effect = lambda _size: iter([payload]) + stream = MagicMock() + stream.return_value.__enter__.return_value = response + monkeypatch.setattr("httpx.stream", stream) + monkeypatch.setattr( + lep.ONNXMiniLM, "MODEL_SHA256", hashlib.sha256(payload).hexdigest() + ) + cache = tmp_path / lep.ONNXMiniLM.MODEL_NAME + monkeypatch.setattr(lep.ONNXMiniLM, "DOWNLOAD_PATH", cache) + return lep.ONNXMiniLM(), cache, response, stream + + def test_verified_archive_extracts_only_expected_regular_files( + self, model_archive, tmp_path + ): + engine, cache, response, _ = model_archive + engine._download_model(cache) + response.raise_for_status.assert_called_once() + assert lep._minilm_cache_complete(type(engine), cache) + assert (cache / "onnx" / "model.onnx").read_text() == "fixture-model.onnx" + assert not (tmp_path / "outside").exists() + assert not list(tmp_path.glob(".minilm-*")) + + def test_bad_checksum_never_publishes_cache( + self, model_archive, monkeypatch, tmp_path + ): + engine, cache, _, _ = model_archive + monkeypatch.setattr(engine, "MODEL_SHA256", "0" * 64) + with pytest.raises(ValueError, match="SHA256"): + engine._download_model(cache) + assert not cache.exists() + assert not list(tmp_path.glob(".minilm-*")) + + def test_interrupted_download_does_not_publish_partial_cache( + self, model_archive, tmp_path + ): + import httpx + + engine, cache, response, _ = model_archive + + def interrupted(_size): + yield b"partial" + raise httpx.ReadError("connection lost") + + response.iter_bytes.side_effect = interrupted + with pytest.raises(httpx.ReadError): + engine._download_model(cache) + assert not cache.exists() + assert not list(tmp_path.glob(".minilm-*")) + + def test_links_in_expected_members_are_rejected(self, model_archive, monkeypatch): + engine, cache, response, _ = model_archive + archive = io.BytesIO() + with tarfile.open(fileobj=archive, mode="w:gz") as bundle: + member = tarfile.TarInfo("onnx/config.json") + member.type = tarfile.SYMTYPE + member.linkname = "../../outside" + bundle.addfile(member) + payload = archive.getvalue() + monkeypatch.setattr(engine, "MODEL_SHA256", hashlib.sha256(payload).hexdigest()) + response.iter_bytes.side_effect = lambda _size: iter([payload]) + with pytest.raises(ValueError, match="not a file"): + engine._download_model(cache) + assert not cache.exists() + + def test_concurrent_cold_load_downloads_once(self, model_archive, monkeypatch): + from concurrent.futures import ThreadPoolExecutor + + engine, cache, _, stream = model_archive + tokenizer_cls = MagicMock() + monkeypatch.setattr(engine._ort, "InferenceSession", MagicMock()) + other = lep.ONNXMiniLM() + for adapter in (engine, other): + monkeypatch.setattr(adapter, "_tokenizer_cls", tokenizer_cls) + with ThreadPoolExecutor(max_workers=2) as pool: + list(pool.map(lambda adapter: adapter._load_model(), [engine, other])) + assert stream.call_count == 1 + assert lep._minilm_cache_complete(type(engine), cache) + tokenizer_cls.from_file.return_value.enable_truncation.assert_called_with( + max_length=256 + ) + tokenizer_cls.from_file.return_value.enable_padding.assert_called_with( + pad_id=0, pad_token="[PAD]", length=256 + ) + + class TestEncodeSerialization: """The shared ONNX embedding function is not thread-safe. @@ -533,10 +626,8 @@ def encode(docs: list[str]) -> list[list[float]]: ef_class.MODEL_NAME = "all-MiniLM-L6-v2" ef_class.DOWNLOAD_PATH = "/fake/cache" fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = ef_class - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = ef_class + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) embedder = LocalEmbedder.get() payloads = [ @@ -616,10 +707,8 @@ def __call__(self, docs: list[str]) -> list[list[float]]: return [[0.2] * 384 for _ in docs] fake = MagicMock() - fake.ONNXMiniLM_L6_V2 = FlakyMiniLM - monkeypatch.setitem(sys.modules, "chromadb", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils", MagicMock()) - monkeypatch.setitem(sys.modules, "chromadb.utils.embedding_functions", fake) + fake.ONNXMiniLM = FlakyMiniLM + monkeypatch.setattr(lep, "ONNXMiniLM", fake.ONNXMiniLM) embedder = LocalEmbedder.get() results: list[list[list[float]]] = [] @@ -732,7 +821,7 @@ def test_non_local_model_still_calls_litellm( def test_get_embedding_routes_to_local_without_env_var( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Layer A path 3: chromadb available + env var UNSET still routes local/*.""" + """Layer A path 3: ONNX dependencies available + env var UNSET still routes local/*.""" from reflexio.server.llm import litellm_client from reflexio.server.llm.litellm_client import LiteLLMClient, LiteLLMConfig @@ -753,7 +842,7 @@ def test_get_embedding_routes_to_local_without_env_var( def test_get_embeddings_routes_to_local_without_env_var( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Layer A path 3 on the batch path: chromadb only is enough.""" + """Layer A path 3 on the batch path: ONNX dependencies only is enough.""" from reflexio.server.llm import litellm_client from reflexio.server.llm.litellm_client import LiteLLMClient, LiteLLMConfig diff --git a/tests/server/llm/test_model_defaults.py b/tests/server/llm/test_model_defaults.py index f99531994..c1f8b7b2a 100644 --- a/tests/server/llm/test_model_defaults.py +++ b/tests/server/llm/test_model_defaults.py @@ -196,7 +196,7 @@ def test_auto_detect_anthropic(self, monkeypatch: pytest.MonkeyPatch) -> None: # Generation should use anthropic result = resolve_model_name(ModelRole.GENERATION) assert result == _PROVIDER_DEFAULTS["anthropic"].generation - # Embedding falls back to local when chromadb is importable. + # Embedding falls back to local when ONNX dependencies are importable. from reflexio.server.llm.providers import local_embedding_provider as lep monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: object()) @@ -241,7 +241,7 @@ def test_gemini_embedding(self, monkeypatch: pytest.MonkeyPatch) -> None: def test_embedding_fallback_to_local_when_no_cloud( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Anthropic key + chromadb available → fall back to local embedder.""" + """Anthropic key + ONNX dependencies available → fall back to local embedder.""" from reflexio.server.llm.providers import local_embedding_provider as lep monkeypatch.setenv("ANTHROPIC_API_KEY", "ant-test") @@ -273,7 +273,7 @@ def test_embedding_explicit_opt_in_beats_cloud( result = resolve_model_name(ModelRole.EMBEDDING) assert result == _PROVIDER_DEFAULTS["local"].embedding - def test_embedding_default_does_not_probe_chromadb( + def test_embedding_default_does_not_probe_local_dependencies( self, monkeypatch: pytest.MonkeyPatch ) -> None: """Saved config owns overrides; default model selection does not inspect imports.""" @@ -300,14 +300,14 @@ def test_no_keys_raises(self) -> None: def test_no_embedding_provider_falls_back_to_local( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Anthropic key + chromadb importable → local fallback, no raise.""" + """Anthropic key + ONNX dependencies importable → local fallback, no raise.""" from reflexio.server.llm.providers import local_embedding_provider as lep monkeypatch.setenv("ANTHROPIC_API_KEY", "ant-test") monkeypatch.setattr(lep.importlib.util, "find_spec", lambda _name: object()) validate_llm_availability() # should not raise - def test_no_embedding_provider_uses_colocated_service_without_chromadb( + def test_no_embedding_provider_uses_colocated_service_without_local_dependencies( self, monkeypatch: pytest.MonkeyPatch ) -> None: """Model packages live in the child service, not the API worker.""" @@ -603,10 +603,10 @@ def test_minimax_with_empty_openai_key_still_resolves_to_minimax( ) assert resolve_model_name(ModelRole.GENERATION) == "minimax/MiniMax-M3" - def test_minimax_with_chromadb_resolves_embedding_to_local( + def test_minimax_with_local_dependencies_resolves_embedding_to_local( self, monkeypatch: pytest.MonkeyPatch ) -> None: - """Mirror of the e2e Mode A path: MiniMax + chromadb → local embedder. + """Mirror of the e2e Mode A path: MiniMax + ONNX dependencies → local embedder. 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