fix: make vllm-mlx optional, fix dashboard memory path in Docker, fix lint

* fix: make vllm-mlx optional, fix dashboard memory path in Docker

Move vllm-mlx to optional [mlx] extra so base install stays lightweight
and Docker builds succeed. Remove dead embeddings group.

Fix dashboard showing no memories in Docker by searching all registered
projects' memory dirs instead of only CWD-resolved primary. Add
working_dir to compose template for correct scope resolution.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: release v0.1.69

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: resolve lint errors in test files

Fix E741 (ambiguous variable `l` → `line`), F401 (unused imports),
F841 (unused variable), and E402 (import ordering) across test files.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: remove unused variable in build_eval_config

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: kargarisaac

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "lerim"
-version = "0.1.68"
+version = "0.1.69"
 description = "Continual learning layer for coding agents and software projects."
 readme = "README.md"
 requires-python = ">=3.10"
@@ -21,7 +21,6 @@ dependencies = [
     "openrouter>=0.6.0",
     "pydantic-ai>=1.61.0",
     "logfire[dspy]>=4.25.0",
-    "vllm-mlx>=0.2.6",
     "litellm>=1.81.13",
     "rich>=13.0",
 ]
@@ -34,11 +33,8 @@ Changelog = "https://github.com/lerim-dev/lerim-cli/blob/main/CHANGELOG.md"
 Issues = "https://github.com/lerim-dev/lerim-cli/issues"
 
 [project.optional-dependencies]
-embeddings = [
-    "lancedb>=0.27.1",
-    "pyarrow>=15.0.0",
-    "torch>=2.2",
-    "transformers>=5.0.0",
+mlx = [
+    "vllm-mlx>=0.2.6",
 ]
 test = [
     "pytest>=8.0",
@@ -73,7 +69,6 @@ markers = [
     "smoke: Quick LLM sanity checks (requires ollama)",
     "agent: Agent SDK or CLI integration tests",
     "llm: Non-agentic LLM integration tests",
-    "embeddings: Embedding integration tests",
     "openrouter: OpenRouter provider tests",
     "openai: OpenAI provider tests",
     "zai: ZAI provider tests",

src/lerim/app/api.py

@@ -347,13 +347,21 @@ def _generate_compose_yml(build_local: bool = False) -> str:
     else:
         image_or_build = f"    image: {GHCR_IMAGE}:{__version__}"
 
+    # Set working_dir to first registered project so git_root_for() works
+    # inside the container (otherwise CWD is / and scope falls back to global).
+    workdir_line = ""
+    if config.projects:
+        first_project = next(iter(config.projects.values()))
+        resolved_project = str(Path(first_project).expanduser().resolve())
+        workdir_line = f'\n    working_dir: "{resolved_project}"'
+
     return f"""\
 # Auto-generated by lerim up — do not edit manually.
 # Regenerated from ~/.lerim/config.toml on every `lerim up`.
 services:
   lerim:
 {image_or_build}
-    container_name: lerim
+    container_name: lerim{workdir_line}
     command: ["--host", "0.0.0.0", "--port", "{port}"]
     restart: "no"
     ports:

src/lerim/app/dashboard.py

@@ -405,13 +405,33 @@ def _load_messages_for_run(run_doc: dict[str, Any]) -> list[dict[str, Any]]:
 
 
 def _list_memory_files_dashboard() -> list[Path]:
-    """List all markdown files in canonical memory primitive folders."""
+    """List all markdown files across global + all registered project memory dirs."""
     config = get_config()
+
+    # Collect candidate memory root dirs: primary, global, and all registered projects.
+    mem_dirs: list[Path] = [
+        config.memory_dir,
+        config.global_data_dir / "memory",
+    ]
+    for _name, project_path in config.projects.items():
+        mem_dirs.append(
+            Path(project_path).expanduser().resolve()
+            / config.memory_project_dir_name
+            / "memory"
+        )
+
+    # Deduplicate by resolved path, then collect .md files from each.
+    seen: set[Path] = set()
     paths: list[Path] = []
-    for mtype in MemoryType:
-        folder = config.memory_dir / memory_folder(mtype)
-        if folder.exists():
-            paths.extend(sorted(folder.rglob("*.md")))
+    for d in mem_dirs:
+        resolved = d.resolve()
+        if resolved in seen:
+            continue
+        seen.add(resolved)
+        for mtype in MemoryType:
+            folder = resolved / memory_folder(mtype)
+            if folder.exists():
+                paths.extend(sorted(folder.rglob("*.md")))
     return paths
 
 

src/lerim/config/settings.py

@@ -742,7 +742,6 @@ def build_eval_config(
     load_dotenv()
     toml_data, _sources = _load_layers()
 
-    data = toml_data.get("data", {})
     memory = toml_data.get("memory", {})
     decay = memory.get("decay", {}) if isinstance(memory.get("decay", {}), dict) else {}
     server = toml_data.get("server", {})

tests/integration/test_dspy_adapters.py

@@ -10,7 +10,6 @@
 
 from __future__ import annotations
 
-import json
 import shutil
 import tempfile
 from pathlib import Path
@@ -19,6 +18,9 @@
 import dspy
 import pytest
 
+from lerim.memory.extract_pipeline import MemoryExtractSignature
+from lerim.memory.summarization_pipeline import TraceSummarySignature
+
 from lerim.memory.schemas import MemoryCandidate
 
 pytestmark = pytest.mark.integration
@@ -102,14 +104,6 @@ def _cleanup_eval_config(temp_dir: Path) -> None:
     shutil.rmtree(temp_dir, ignore_errors=True)
 
 
-# ---------------------------------------------------------------------------
-# Extraction signature (duplicated from pipeline to allow direct module calls)
-# ---------------------------------------------------------------------------
-
-from lerim.memory.extract_pipeline import MemoryExtractSignature
-from lerim.memory.summarization_pipeline import TraceSummarySignature
-
-
 # ---------------------------------------------------------------------------
 # Extraction adapter tests
 # ---------------------------------------------------------------------------

tests/integration/test_eval_runners.py

@@ -6,10 +6,7 @@
 
 from __future__ import annotations
 
-import json
 import os
-import shutil
-import tempfile
 from pathlib import Path
 
 import pytest

tests/unit/test_catalog_queries.py

@@ -10,8 +10,6 @@
 from lerim.sessions.catalog import (
     claim_session_jobs,
     enqueue_session_job,
-    fetch_session_doc,
-    get_indexed_run_ids,
     init_sessions_db,
     index_session_for_fts,
     latest_service_run,

tests/unit/test_claude_adapter.py

@@ -264,7 +264,7 @@ def test_compact_trace_drops_noise_types():
         ),
     ]
     result = compact_trace("\n".join(lines) + "\n")
-    parsed = [json.loads(l) for l in result.strip().split("\n")]
+    parsed = [json.loads(line) for line in result.strip().split("\n")]
     assert len(parsed) == 2
     assert parsed[0]["type"] == "user"
     assert parsed[1]["type"] == "assistant"
@@ -395,6 +395,6 @@ def test_compact_trace_keeps_malformed_lines():
         + "\n"
     )
     result = compact_trace(raw)
-    lines = [l for l in result.strip().split("\n") if l.strip()]
+    lines = [line for line in result.strip().split("\n") if line.strip()]
     assert lines[0] == "not-json"
     assert json.loads(lines[1])["type"] == "user"

tests/unit/test_codex_adapter.py

@@ -160,7 +160,7 @@ def test_compact_trace_drops_turn_context():
         ),
     ]
     result = compact_trace("\n".join(lines) + "\n")
-    parsed = [json.loads(l) for l in result.strip().split("\n")]
+    parsed = [json.loads(line) for line in result.strip().split("\n")]
     assert len(parsed) == 1
     assert parsed[0]["type"] == "event_msg"
 

tests/unit/test_cursor_adapter.py

@@ -322,6 +322,6 @@ def test_compact_trace_preserves_user_assistant_text():
         json.dumps({"type": 2, "text": "assistant reply"}),
     ]
     result = compact_trace("\n".join(lines) + "\n")
-    parsed = [json.loads(l) for l in result.strip().split("\n")]
+    parsed = [json.loads(line) for line in result.strip().split("\n")]
     assert parsed[0]["text"] == "user message"
     assert parsed[1]["text"] == "assistant reply"