bump pydantic-monty, refresh deps, cap transformers<5

CHANGELOG.md

@@ -5,6 +5,9 @@
 
 - Bump `docling>=2.93.0` and `docling-core>=2.75.0`.
 - Bump `pydantic-ai-slim>=1.96.0`. Migrate off deprecated APIs: AG-UI imports use `pydantic_ai.ui.ag_ui`, docs/CLI examples use the explicit `openai-chat:` model prefix, and `Agent(retries=)` is split into `tool_retries=` + `output_retries=`.
+- Bump `pydantic-monty>=0.0.17`. Migrate off deprecated `pydantic_monty.run_repl_async(repl, ...)` to `repl.feed_run_async(...)`.
+- Cap `transformers<5.0.0` in the `mxbai` extra: `mxbai-rerank>=0.1.6` calls `tokenizer.prepare_for_model` which transformers 5 removed.
+- Refresh the rest of the lockfile to latest within current constraints (pydantic, pydantic-ai, rich, ruff, ty, pytest, torch, textual, textual-image, watchfiles, pre-commit, datasets, and transitives).
 
 ## [0.47.0] - 2026-05-14
 

haiku_rag_slim/haiku/rag/agents/analysis/sandbox.py

@@ -260,8 +260,7 @@ class Sandbox:
                 },
             )
             if self._context.documents:
-                await pydantic_monty.run_repl_async(
-                    self._repl,
+                await self._repl.feed_run_async(
                     "pass",
                     inputs={
                         "documents": [
@@ -296,8 +295,7 @@ class Sandbox:
         max_chars = self._config.analysis.max_output_chars
 
         try:
-            output = await pydantic_monty.run_repl_async(
-                repl,
+            output = await repl.feed_run_async(
                 code,
                 external_functions=external_fns,
                 print_callback=print_callback,

haiku_rag_slim/haiku/rag/client/rebuild.py

@@ -393,6 +393,8 @@ async def _rebuild_embed_only(
             embeddings.extend(batch_embeddings)
 
         for chunk, content_fts, embedding in zip(chunks, texts, embeddings):
+            assert chunk.id is not None
+            assert chunk.document_id is not None
             pending_records.append(
                 client.store.ChunkRecord(
                     id=chunk.id,

haiku_rag_slim/haiku/rag/store/upgrades/v0_25_0.py

@@ -96,7 +96,7 @@ async def _apply_compress_docling_document(store: Store) -> None:  # pragma: no
                     "Recovering %d documents from failed migration", len(staging_ids)
                 )
                 # Create new documents table and copy from staging
-                store.documents_table = None
+                del store.documents_table
                 if "documents" in (await store.db.list_tables()).tables:
                     await store.db.drop_table("documents")
                 store.documents_table = await store.db.create_table(
@@ -137,7 +137,7 @@ async def _apply_compress_docling_document(store: Store) -> None:  # pragma: no
                 return
 
         # No documents and no staging to recover, just recreate table with new schema
-        store.documents_table = None
+        del store.documents_table
         if "documents" in (await store.db.list_tables()).tables:
             await store.db.drop_table("documents")
         store.documents_table = await store.db.create_table(
@@ -177,7 +177,7 @@ async def _apply_compress_docling_document(store: Store) -> None:  # pragma: no
         )
 
     # Replace old table with staging table
-    store.documents_table = None
+    del store.documents_table
     if "documents" in (await store.db.list_tables()).tables:
         await store.db.drop_table("documents")
     store.documents_table = await store.db.create_table(

haiku_rag_slim/haiku/rag/store/upgrades/v0_38_0.py

@@ -118,7 +118,7 @@ async def _apply_split_pages_zstd(store: Store) -> None:  # pragma: no cover
                 logger.info(
                     "Recovering %d documents from failed migration", len(staging_ids)
                 )
-                store.documents_table = None
+                del store.documents_table
                 if "documents" in (await store.db.list_tables()).tables:
                     await store.db.drop_table("documents")
                 store.documents_table = await store.db.create_table(
@@ -144,7 +144,7 @@ async def _apply_split_pages_zstd(store: Store) -> None:  # pragma: no cover
                 return
 
         # No documents and no staging — recreate table with new schema
-        store.documents_table = None
+        del store.documents_table
         if "documents" in (await store.db.list_tables()).tables:
             await store.db.drop_table("documents")
         store.documents_table = await store.db.create_table(
@@ -188,7 +188,7 @@ async def _apply_split_pages_zstd(store: Store) -> None:  # pragma: no cover
         )
 
     # Replace old table with staging table
-    store.documents_table = None
+    del store.documents_table
     if "documents" in (await store.db.list_tables()).tables:
         await store.db.drop_table("documents")
     store.documents_table = await store.db.create_table(

haiku_rag_slim/pyproject.toml

@@ -31,7 +31,7 @@ dependencies = [
     "pathspec>=1.0.4",
     "pydantic>=2.12.5",
     "pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]>=1.96.0",
-    "pydantic-monty>=0.0.9",
+    "pydantic-monty>=0.0.17",
     "python-dotenv>=1.2.2",
     "pyyaml>=6.0.3",
     "rich>=14.3.3",
@@ -48,7 +48,7 @@ s3 = ["obstore>=0.9,<0.10"]
 # Embedding providers
 voyageai = ["pydantic-ai-slim[voyageai]"]
 # Rerankers
-mxbai = ["mxbai-rerank>=0.1.6"]
+mxbai = ["mxbai-rerank>=0.1.6", "transformers>=4.49.0,<5.0.0"]
 cohere = ["cohere>=5.21.1"]
 zeroentropy = ["zeroentropy>=0.1.0a11"]
 jina = ["transformers>=4.40.0", "torch>=2.0.0"]