Sdk update to use glm 0.6.1

google/generativeai/answer.py

@@ -17,7 +17,8 @@
 import dataclasses
 from collections.abc import Iterable
 import itertools
-from typing import Any, Iterable, Union, Mapping, Optional, TypedDict
+from typing import Any, Iterable, Union, Mapping, Optional
+from typing_extensions import TypedDict
 
 import google.ai.generativelanguage as glm
 

google/generativeai/generative_models.py

@@ -74,7 +74,7 @@ def __init__(
         generation_config: generation_types.GenerationConfigType | None = None,
         tools: content_types.FunctionLibraryType | None = None,
         tool_config: content_types.ToolConfigType | None = None,
-        system_instructions: content_types.ContentType | None = None,
+        system_instruction: content_types.ContentType | None = None,
     ):
         if "/" not in model_name:
             model_name = "models/" + model_name
@@ -90,10 +90,10 @@ def __init__(
         else:
             self._tool_config = content_types.to_tool_config(tool_config)
 
-        if system_instructions is None:
-            self._system_instructions = None
+        if system_instruction is None:
+            self._system_instruction = None
         else:
-            self._system_instructions = content_types.to_content(system_instructions)
+            self._system_instruction = content_types.to_content(system_instruction)
 
         self._client = None
         self._async_client = None
@@ -155,7 +155,7 @@ def _prepare_request(
             safety_settings=merged_ss,
             tools=tools_lib,
             tool_config=tool_config,
-            system_instructions=self._system_instructions,
+            system_instruction=self._system_instruction,
         )
 
     def _get_tools_lib(

setup.py

@@ -42,7 +42,7 @@ def get_version():
     release_status = "Development Status :: 5 - Production/Stable"
 
 dependencies = [
-    "google-ai-generativelanguage@https://storage.googleapis.com/generativeai-downloads/preview/ai-generativelanguage-v1beta-py.tar.gz",
+    "google-ai-generativelanguage==0.6.1",
     "google-api-core",
     "google-api-python-client",
     "google-auth>=2.15.0",  # 2.15 adds API key auth support

tests/test_generative_models.py

@@ -21,8 +21,16 @@
 TEST_IMAGE_DATA = TEST_IMAGE_PATH.read_bytes()
 
 
+def simple_part(text: str) -> glm.Content:
+    return glm.Content({"parts": [{"text": text}]})
+
+
+def iter_part(texts: Iterable[str]) -> glm.Content:
+    return glm.Content({"parts": [{"text": t} for t in texts]})
+
+
 def simple_response(text: str) -> glm.GenerateContentResponse:
-    return glm.GenerateContentResponse({"candidates": [{"content": {"parts": [{"text": text}]}}]})
+    return glm.GenerateContentResponse({"candidates": [{"content": simple_part(text)}]})
 
 
 class CUJTests(parameterized.TestCase):
@@ -605,6 +613,24 @@ def test_tools(self):
             self.assertLen(obr.tools, 1)
             self.assertEqual(type(obr.tools[0]).to_dict(obr.tools[0]), tools)
 
+    @parameterized.named_parameters(
+        ["bare_str", "talk like a pirate", simple_part("talk like a pirate")],
+        [
+            "part_dict",
+            {"parts": [{"text": "talk like a pirate"}]},
+            simple_part("talk like a pirate"),
+        ],
+        ["part_list", ["talk like:", "a pirate"], iter_part(["talk like:", "a pirate"])],
+    )
+    def test_system_instruction(self, instruction, expected_instr):
+        self.responses["generate_content"] = [simple_response("echo echo")]
+        model = generative_models.GenerativeModel("gemini-pro", system_instruction=instruction)
+
+        _ = model.generate_content("test")
+
+        [req] = self.observed_requests
+        self.assertEqual(req.system_instruction, expected_instr)
+
     @parameterized.named_parameters(
         ["basic", "Hello"],
         ["list", ["Hello"]],

tests/test_typing_extensions.py

@@ -33,7 +33,7 @@ class TypingExtensionsTests(absltest.TestCase):
 
     def test_no_typing_typed_dict(self):
         root = pathlib.Path(__file__).parent.parent
-        for fpath in root.rglob("*.py"):
+        for fpath in (root / "google").rglob("*.py"):
             source = fpath.read_text()
             if match := TYPING_RE.search(source):
                 raise ValueError(