fix(memory): biographer tool type hints for Ollama (v1.3.2)

- Change `str | None` to `str` with empty default for memory_type
- Remove `keywords` parameter from store_insight (auto-generated anyway)
- Ollama's OpenAI API doesn't handle union types with None properly

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CHANGELOG.md

@@ -7,6 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.3.2] - 2025-12-14
+
+### Fixed
+
+- **Memory**: Fix biographer tool type hints for Ollama compatibility (remove `| None` union types)
+
 ## [1.3.1] - 2025-12-14
 
 ### Fixed

README.md

@@ -432,7 +432,7 @@ For LLM agent development guidelines and architectural decisions, see [AGENTS.md
 
 ## Version
 
-Current version: **1.3.1** - Biographer delegation fix
+Current version: **1.3.2** - Biographer tool type hints fix
 
 ---
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tatlock"
-version = "1.3.1"
+version = "1.3.2"
 description = "OpenAI-compatible API with Ollama backend"
 requires-python = ">=3.12"
 dependencies = []

src/agents/biographer/tools.py

@@ -25,7 +25,7 @@ logger = get_logger(__name__)
 
 async def recall_semantic(
     query: str,
-    memory_type: str | None = None,
+    memory_type: str = "",
     limit: int = 5,
 ) -> str:
     """
@@ -64,7 +64,7 @@ async def recall_semantic(
             user=user,
             query_vector=query_vector,
             limit=limit,
-            memory_type=memory_type,
+            memory_type=memory_type if memory_type else None,
         )
 
         if not results:
@@ -111,7 +111,6 @@ async def recall_semantic(
 async def store_insight(
     key: str,
     value: str,
-    keywords: list[str] | None = None,
     importance: float = 0.5,
 ) -> str:
     """
@@ -128,7 +127,6 @@ async def store_insight(
     Args:
         key: Short identifier for the memory (e.g., "car", "employer", "pet")
         value: The actual information to remember
-        keywords: Optional keywords for better search (auto-extracted if not provided)
         importance: How important is this? 0.0 (trivial) to 1.0 (critical)
 
     Returns:
@@ -137,13 +135,10 @@ async def store_insight(
     Examples:
         store_insight("car", "User drives a Tesla Model 3")
         store_insight("employer", "Works at Acme Corp as software engineer", importance=0.8)
-        store_insight("coffee", "Prefers oat milk lattes", keywords=["coffee", "drink", "preference"])
     """
     try:
-        # Auto-generate keywords if not provided
+        # Auto-generate keywords from key and value
-        if not keywords:
         keywords = [key]
-            # Extract simple keywords from value
         words = value.lower().split()
         keywords.extend([w for w in words if len(w) > 4][:5])