release: 2.10.2

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "2.10.1"
+  ".": "2.10.2"
 }

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## 2.10.2 (2026-09-23)
+
+Full Changelog: [v2.10.1...v2.10.2](https://github.com/turbopuffer/turbopuffer-python/compare/v2.10.1...v2.10.2)
+
+### Bug Fixes
+
+* restore write encoding perf by encoding vectors before transform walk ([#266](https://github.com/turbopuffer/turbopuffer-python/issues/266)) ([0ad433e](https://github.com/turbopuffer/turbopuffer-python/commit/0ad433e82a6d2b89e068b9b56c3ed7c1e36ccaf8))
+
 ## 2.10.1 (2026-09-19)
 
 Full Changelog: [v2.10.0...v2.10.1](https://github.com/turbopuffer/turbopuffer-python/compare/v2.10.0...v2.10.1)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "turbopuffer"
-version = "2.10.1"
+version = "2.10.2"
 description = "The official Python library for the turbopuffer API"
 dynamic = ["readme"]
 license = "MIT"

src/turbopuffer/_utils/_transform.py

@@ -182,10 +182,11 @@ class Params(TypedDict, total=False):
     It should be noted that the transformations that this function does are not represented in the type system.
     """
     # turbopuffer: Use simple vector encoding instead of generic type-based transform.
-    data = cast(_T, _turbopuffer_transform(data))
+    # Encode vectors before walking the body so the walk sees one base64 string
+    # per vector instead of recursing into every float.
     if expected_type is NamespaceWriteParams:
-        return cast(_T, _encode_write_vectors(data))
-    return data
+        data = cast(_T, _encode_write_vectors(data))
+    return cast(_T, _turbopuffer_transform(data))
 
 
 @lru_cache(maxsize=8096)
@@ -404,10 +405,11 @@ class Params(TypedDict, total=False):
     It should be noted that the transformations that this function does are not represented in the type system.
     """
     # turbopuffer: Use simple vector encoding instead of generic type-based transform.
-    data = cast(_T, _turbopuffer_transform(data))
+    # Encode vectors before walking the body so the walk sees one base64 string
+    # per vector instead of recursing into every float.
     if expected_type is NamespaceWriteParams:
-        return cast(_T, _encode_write_vectors(data))
-    return data
+        data = cast(_T, _encode_write_vectors(data))
+    return cast(_T, _turbopuffer_transform(data))
 
 
 async def _async_transform_recursive(

src/turbopuffer/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "turbopuffer"
-__version__ = "2.10.1"  # x-release-please-version
+__version__ = "2.10.2"  # x-release-please-version