chore: initialize EverOS 1.0.0

md-first memory extraction framework for AI agents.

Markdown is the single source of truth; SQLite holds state and LanceDB
provides the rebuildable vector + BM25 + scalar index. The codebase follows
a single-direction DDD layering (entrypoints -> service -> memory -> infra,
with component / core / config cross-cutting) enforced by import-linter.

Engineering surface:
- Coding conventions in .claude/rules/ (path-scoped) and workflows in
  .claude/skills/ (/commit, /new-branch, /pr).
- GitHub Actions CI runs make lint + test + integration; pre-commit mirrors
  the gates locally (ruff, hygiene hooks, gitlint commit-msg).
- Commit messages follow Conventional Commits, enforced by gitlint.
- make lint also enforces datetime two-zone discipline and OpenAPI drift.

src/everos/component/llm/client.py

@@ -0,0 +1,89 @@
+"""Process-wide LLM client accessor.
+
+Lazy singleton — first call reads settings and builds the algo LLM
+client; subsequent calls return the cached instance. Raises
+:class:`LLMNotConfiguredError` when no credentials are present so
+misconfiguration surfaces at app startup (via the LLM lifespan
+provider) instead of silently failing per-request downstream.
+"""
+
+from __future__ import annotations
+
+from everalgo.llm import build_client
+from everalgo.llm.config import LLMConfig
+from everalgo.llm.protocols import LLMClient
+
+from everos.config import load_settings
+from everos.core.observability.logging import get_logger
+
+logger = get_logger(__name__)
+
+
+class LLMNotConfiguredError(RuntimeError):
+    """Raised when ``settings.llm`` is missing ``api_key`` or ``base_url``."""
+
+
+_llm_client: LLMClient | None = None
+_multimodal_client: LLMClient | None = None
+
+
+def get_llm_client() -> LLMClient:
+    """Return the singleton algo LLM client.
+
+    Raises:
+        LLMNotConfiguredError: When ``settings.llm.api_key`` or
+            ``settings.llm.base_url`` is unset.
+    """
+    global _llm_client
+    if _llm_client is not None:
+        return _llm_client
+
+    llm_cfg = load_settings().llm
+    api_key = (
+        llm_cfg.api_key.get_secret_value() if llm_cfg.api_key is not None else None
+    )
+    if not api_key or not llm_cfg.base_url:
+        raise LLMNotConfiguredError(
+            "LLM is required; set EVEROS_LLM__API_KEY + EVEROS_LLM__BASE_URL"
+        )
+    _llm_client = build_client(
+        LLMConfig(
+            model=llm_cfg.model,
+            api_key=api_key,
+            base_url=llm_cfg.base_url,
+        )
+    )
+    logger.info("llm_client_built", model=llm_cfg.model)
+    return _llm_client
+
+
+def get_multimodal_llm_client() -> LLMClient:
+    """Return the singleton multimodal LLM client (for everalgo.parser).
+
+    Reads the flat ``[multimodal]`` config — kept separate from the main
+    ``[llm]`` so parsing can target a vision/audio-capable endpoint.
+
+    Raises:
+        LLMNotConfiguredError: When ``settings.multimodal.api_key`` or
+            ``settings.multimodal.base_url`` is unset.
+    """
+    global _multimodal_client
+    if _multimodal_client is not None:
+        return _multimodal_client
+
+    cfg = load_settings().multimodal
+    api_key = cfg.api_key.get_secret_value() if cfg.api_key is not None else None
+    if not api_key or not cfg.base_url:
+        raise LLMNotConfiguredError(
+            "Multimodal LLM is required for parsing; set "
+            "EVEROS_MULTIMODAL__API_KEY + EVEROS_MULTIMODAL__BASE_URL"
+        )
+    _multimodal_client = build_client(
+        LLMConfig(
+            model=cfg.model,
+            api_key=api_key,
+            base_url=cfg.base_url,
+        )
+    )
+    logger.info("multimodal_llm_client_built", model=cfg.model)
+    return _multimodal_client