Python: Update Notebooks to version 0.2.6.dev0; Fix bug in 0.2.5.dev0 (…

…#761)

### Motivation and Context
New release version 0.2.6
Fix bug in 0.2.5.dev0 pip package
Update notebooks to the latest pip package (0.2.6)

### Description of Changes
- fixed a param name error in the creation of a reference memory_record
- renamed text_service -> text_completion_service (consistency with .NET)
- renamed text_embedding_service -> text_embedding_generation_service
(consistency with .NET)
- Updated notebooks accordingly
- bumped pip versions to 0.2.6.dev0

python/README.md

@@ -33,11 +33,11 @@ kernel = sk.Kernel()
 
 # Prepare OpenAI service using credentials stored in the `.env` file
 api_key, org_id = sk.openai_settings_from_dot_env()
-kernel.config.add_text_service("dv", OpenAITextCompletion("text-davinci-003", api_key, org_id))
+kernel.config.add_text_completion_service("dv", OpenAITextCompletion("text-davinci-003", api_key, org_id))
 
 # Alternative using Azure:
 # deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()
-# kernel.config.add_text_service("dv", AzureTextCompletion(deployment, endpoint, api_key))
+# kernel.config.add_text_completion_service("dv", AzureTextCompletion(deployment, endpoint, api_key))
 
 # Wrap your prompt in a function
 prompt = kernel.create_semantic_function("""

python/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "semantic-kernel"
-version = "0.2.5.dev"
+version = "0.2.6.dev"
 description = ""
 authors = ["Microsoft <SK-Support@microsoft.com>"]
 readme = "README.md"

python/semantic_kernel/kernel_config.py

@@ -25,19 +25,19 @@
 
 class KernelConfig:
     def __init__(self) -> None:
-        self._text_services: Dict[
+        self._text_completion_services: Dict[
             str, Callable[["KernelBase"], TextCompletionClientBase]
         ] = {}
         self._chat_services: Dict[
             str, Callable[["KernelBase"], ChatCompletionClientBase]
         ] = {}
-        self._embedding_services: Dict[
+        self._text_embedding_generation_services: Dict[
             str, Callable[["KernelBase"], EmbeddingGeneratorBase]
         ] = {}
 
-        self._default_text_service: Optional[str] = None
+        self._default_text_completion_service: Optional[str] = None
         self._default_chat_service: Optional[str] = None
-        self._default_embedding_service: Optional[str] = None
+        self._default_text_embedding_generation_service: Optional[str] = None
 
         self._retry_mechanism: RetryMechanism = PassThroughWithoutRetry()
 
@@ -46,14 +46,14 @@ def get_ai_service(
     ) -> Callable[["KernelBase"], T]:
         matching_type = {}
         if type == TextCompletionClientBase:
-            service_id = service_id or self._default_text_service
-            matching_type = self._text_services
+            service_id = service_id or self._default_text_completion_service
+            matching_type = self._text_completion_services
         elif type == ChatCompletionClientBase:
             service_id = service_id or self._default_chat_service
             matching_type = self._chat_services
         elif type == EmbeddingGeneratorBase:
-            service_id = service_id or self._default_embedding_service
-            matching_type = self._embedding_services
+            service_id = service_id or self._default_text_embedding_generation_service
+            matching_type = self._text_embedding_generation_services
         else:
             raise ValueError(f"Unknown AI service type: {type.__name__}")
 
@@ -64,16 +64,16 @@ def get_ai_service(
 
         return matching_type[service_id]
 
-    def all_text_services(self) -> List[str]:
-        return list(self._text_services.keys())
+    def all_text_completion_services(self) -> List[str]:
+        return list(self._text_completion_services.keys())
 
     def all_chat_services(self) -> List[str]:
         return list(self._chat_services.keys())
 
-    def all_embedding_services(self) -> List[str]:
-        return list(self._embedding_services.keys())
+    def all_text_embedding_generation_services(self) -> List[str]:
+        return list(self._text_embedding_generation_services.keys())
 
-    def add_text_service(
+    def add_text_completion_service(
         self,
         service_id: str,
         service: Union[
@@ -83,16 +83,16 @@ def add_text_service(
     ) -> "KernelConfig":
         if not service_id:
             raise ValueError("service_id must be a non-empty string")
-        if not overwrite and service_id in self._text_services:
+        if not overwrite and service_id in self._text_completion_services:
             raise ValueError(
                 f"Text service with service_id '{service_id}' already exists"
             )
 
-        self._text_services[service_id] = (
+        self._text_completion_services[service_id] = (
             service if isinstance(service, Callable) else lambda _: service
         )
-        if self._default_text_service is None:
-            self._default_text_service = service_id
+        if self._default_text_completion_service is None:
+            self._default_text_completion_service = service_id
 
         return self
 
@@ -118,13 +118,13 @@ def add_chat_service(
             self._default_chat_service = service_id
 
         if isinstance(service, TextCompletionClientBase):
-            self.add_text_service(service_id, service)
-            if self._default_text_service is None:
-                self._default_text_service = service_id
+            self.add_text_completion_service(service_id, service)
+            if self._default_text_completion_service is None:
+                self._default_text_completion_service = service_id
 
         return self
 
-    def add_embedding_service(
+    def add_text_embedding_generation_service(
         self,
         service_id: str,
         service: Union[
@@ -134,28 +134,28 @@ def add_embedding_service(
     ) -> "KernelConfig":
         if not service_id:
             raise ValueError("service_id must be a non-empty string")
-        if not overwrite and service_id in self._embedding_services:
+        if not overwrite and service_id in self._text_embedding_generation_services:
             raise ValueError(
                 f"Embedding service with service_id '{service_id}' already exists"
             )
 
-        self._embedding_services[service_id] = (
+        self._text_embedding_generation_services[service_id] = (
             service if isinstance(service, Callable) else lambda _: service
         )
-        if self._default_embedding_service is None:
-            self._default_embedding_service = service_id
+        if self._default_text_embedding_generation_service is None:
+            self._default_text_embedding_generation_service = service_id
 
         return self
 
     # TODO: look harder at retry stuff
 
-    def set_default_text_service(self, service_id: str) -> "KernelConfig":
-        if service_id not in self._text_services:
+    def set_default_text_completion_service(self, service_id: str) -> "KernelConfig":
+        if service_id not in self._text_completion_services:
             raise ValueError(
                 f"AI service with service_id '{service_id}' does not exist"
             )
 
-        self._default_text_service = service_id
+        self._default_text_completion_service = service_id
         return self
 
     def set_default_chat_service(self, service_id: str) -> "KernelConfig":
@@ -167,20 +167,24 @@ def set_default_chat_service(self, service_id: str) -> "KernelConfig":
         self._default_chat_service = service_id
         return self
 
-    def set_default_embedding_service(self, service_id: str) -> "KernelConfig":
-        if service_id not in self._embedding_services:
+    def set_default_text_embedding_generation_service(
+        self, service_id: str
+    ) -> "KernelConfig":
+        if service_id not in self._text_embedding_generation_services:
             raise ValueError(
                 f"AI service with service_id '{service_id}' does not exist"
             )
 
-        self._default_embedding_service = service_id
+        self._default_text_embedding_generation_service = service_id
         return self
 
-    def get_text_service_service_id(self, service_id: Optional[str] = None) -> str:
-        if service_id is None or service_id not in self._text_services:
-            if self._default_text_service is None:
+    def get_text_completion_service_service_id(
+        self, service_id: Optional[str] = None
+    ) -> str:
+        if service_id is None or service_id not in self._text_completion_services:
+            if self._default_text_completion_service is None:
                 raise ValueError("No default text service is set")
-            return self._default_text_service
+            return self._default_text_completion_service
 
         return service_id
 
@@ -192,23 +196,27 @@ def get_chat_service_service_id(self, service_id: Optional[str] = None) -> str:
 
         return service_id
 
-    def get_embedding_service_id(self, service_id: Optional[str] = None) -> str:
-        if service_id is None or service_id not in self._embedding_services:
-            if self._default_embedding_service is None:
+    def get_text_embedding_generation_service_id(
+        self, service_id: Optional[str] = None
+    ) -> str:
+        if service_id is None or service_id not in self._text_embedding_generation_services:
+            if self._default_text_embedding_generation_service is None:
                 raise ValueError("No default embedding service is set")
-            return self._default_embedding_service
+            return self._default_text_embedding_generation_service
 
         return service_id
 
-    def remove_text_service(self, service_id: str) -> "KernelConfig":
-        if service_id not in self._text_services:
+    def remove_text_completion_service(self, service_id: str) -> "KernelConfig":
+        if service_id not in self._text_completion_services:
             raise ValueError(
                 f"AI service with service_id '{service_id}' does not exist"
             )
 
-        del self._text_services[service_id]
-        if self._default_text_service == service_id:
-            self._default_text_service = next(iter(self._text_services), None)
+        del self._text_completion_services[service_id]
+        if self._default_text_completion_service == service_id:
+            self._default_text_completion_service = next(
+                iter(self._text_completion_services), None
+            )
         return self
 
     def remove_chat_service(self, service_id: str) -> "KernelConfig":
@@ -222,39 +230,41 @@ def remove_chat_service(self, service_id: str) -> "KernelConfig":
             self._default_chat_service = next(iter(self._chat_services), None)
         return self
 
-    def remove_embedding_service(self, service_id: str) -> "KernelConfig":
-        if service_id not in self._embedding_services:
+    def remove_text_embedding_generation_service(self, service_id: str) -> "KernelConfig":
+        if service_id not in self._text_embedding_generation_services:
             raise ValueError(
                 f"AI service with service_id '{service_id}' does not exist"
             )
 
-        del self._embedding_services[service_id]
-        if self._default_embedding_service == service_id:
-            self._default_embedding_service = next(iter(self._embedding_services), None)
+        del self._text_embedding_generation_services[service_id]
+        if self._default_text_embedding_generation_service == service_id:
+            self._default_text_embedding_generation_service = next(
+                iter(self._text_embedding_generation_services), None
+            )
         return self
 
-    def clear_all_text_services(self) -> "KernelConfig":
-        self._text_services = {}
-        self._default_text_service = None
+    def clear_all_text_completion_services(self) -> "KernelConfig":
+        self._text_completion_services = {}
+        self._default_text_completion_service = None
         return self
 
     def clear_all_chat_services(self) -> "KernelConfig":
         self._chat_services = {}
         self._default_chat_service = None
         return self
 
-    def clear_all_embedding_services(self) -> "KernelConfig":
-        self._embedding_services = {}
-        self._default_embedding_service = None
+    def clear_all_text_embedding_generation_services(self) -> "KernelConfig":
+        self._text_embedding_generation_services = {}
+        self._default_text_embedding_generation_service = None
         return self
 
     def clear_all_services(self) -> "KernelConfig":
-        self._text_services = {}
+        self._text_completion_services = {}
         self._chat_services = {}
-        self._embedding_services = {}
+        self._text_embedding_generation_services = {}
 
-        self._default_text_service = None
+        self._default_text_completion_service = None
         self._default_chat_service = None
-        self._default_embedding_service = None
+        self._default_text_embedding_generation_service = None
 
         return self

python/semantic_kernel/kernel_extensions/memory_configuration.py

@@ -19,7 +19,7 @@ def use_memory(
         kernel = self.kernel()
 
         if embeddings_generator is None:
-            service_id = kernel.config.get_embedding_service_id()
+            service_id = kernel.config.get_text_embedding_generation_service_id()
             if not service_id:
                 raise ValueError("The embedding service id cannot be `None` or empty")
 

python/semantic_kernel/memory/semantic_text_memory.py

@@ -90,7 +90,7 @@ async def save_reference_async(
 
         embedding = await self._embeddings_generator.generate_embeddings_async([text])
         data = MemoryRecord.reference_record(
-            id=external_id,
+            external_id=external_id,
             source_name=external_source_name,
             description=description,
             embedding=embedding,

python/tests/end-to-end/chat.py

@@ -18,7 +18,7 @@
 kernel = sk.Kernel()
 
 api_key, org_id = sk.openai_settings_from_dot_env()
-kernel.config.add_text_service(
+kernel.config.add_text_completion_service(
     "davinci-003", sk_oai.OpenAITextCompletion("text-davinci-003", api_key, org_id)
 )
 

python/tests/end-to-end/memory.py

@@ -108,10 +108,10 @@ async def main() -> None:
     kernel = sk.Kernel()
 
     api_key, org_id = sk.openai_settings_from_dot_env()
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         "dv", sk_oai.OpenAITextCompletion("text-davinci-003", api_key, org_id)
     )
-    kernel.config.add_embedding_service(
+    kernel.config.add_text_embedding_generation_service(
         "ada", sk_oai.OpenAITextEmbedding("text-embedding-ada-002", api_key, org_id)
     )
 

python/tests/end-to-end/skills_from_dir.py

@@ -15,12 +15,12 @@
 # Configure AI service used by the kernel
 if useAzureOpenAI:
     api_key, endpoint = sk.azure_openai_settings_from_dot_env()
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         service_id, sk_oai.AzureTextCompletion(model, api_key, endpoint)
     )
 else:
     api_key, org_id = sk.openai_settings_from_dot_env()
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         service_id, sk_oai.OpenAITextCompletion(model, api_key, org_id)
     )
 

python/tests/integration/completions/test_azure_oai_chat_service.py

@@ -24,8 +24,8 @@ async def test_azure_chat_completion_with_skills():
         deployment_name = "gpt-35-turbo"
 
     # Configure LLM service
-    kernel.config.add_text_service(
-        "text_service", sk_oai.AzureChatCompletion(deployment_name, endpoint, api_key)
+    kernel.config.add_text_completion_service(
+        "text_completion", sk_oai.AzureChatCompletion(deployment_name, endpoint, api_key)
     )
 
     await e2e_text_completion.summarize_function_test(kernel)

python/tests/integration/completions/test_azure_oai_text_service.py

@@ -24,8 +24,8 @@ async def test_azure_text_completion_with_skills():
         deployment_name = "text-davinci-003"
 
     # Configure LLM service
-    kernel.config.add_text_service(
-        "text_service", sk_oai.AzureTextCompletion(deployment_name, endpoint, api_key)
+    kernel.config.add_text_completion_service(
+        "text_completion", sk_oai.AzureTextCompletion(deployment_name, endpoint, api_key)
     )
 
     await e2e_text_completion.summarize_function_test(kernel)

python/tests/integration/completions/test_hf_local_text2text_service.py

@@ -14,7 +14,7 @@ async def test_hf_local_text2text_generation_service_with_skills():
     kernel = sk.Kernel()
 
     # Configure LLM service
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         "google/flan-t5-base",
         sk_hf.HuggingFaceTextCompletion(
             "google/flan-t5-base", task="text2text-generation"

python/tests/integration/completions/test_hf_local_text_generation_service.py

@@ -14,7 +14,7 @@ async def test_hf_local_text_generation_service_with_skills():
     kernel = sk.Kernel()
 
     # Configure LLM service
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         "gpt2", sk_hf.HuggingFaceTextCompletion("gpt2", task="text-generation")
     )
 

python/tests/integration/completions/test_hf_local_text_summarization.py

@@ -14,7 +14,7 @@ async def test_hf_local_summarization_service_with_skills():
     kernel = sk.Kernel()
 
     # Configure LLM service
-    kernel.config.add_text_service(
+    kernel.config.add_text_completion_service(
         "facebook/bart-large-cnn",
         sk_hf.HuggingFaceTextCompletion(
             "facebook/bart-large-cnn", task="summarization"