chore: Don't set type variables from register_schema()

`mypy` is not happy about it since type variables are calculated at
runtime and hence the typing hints are not available during static
analysis.

Good news is there is no good reason to set the variables from the
return type.

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>

llama_stack/apis/agents/agents.py

@@ -189,13 +189,11 @@ class AgentToolGroupWithArgs(BaseModel):
     args: Dict[str, Any]
 
 
-AgentToolGroup = register_schema(
-    Union[
-        str,
-        AgentToolGroupWithArgs,
-    ],
-    name="AgentTool",
-)
+AgentToolGroup = Union[
+    str,
+    AgentToolGroupWithArgs,
+]
+register_schema(AgentToolGroup, name="AgentTool")
 
 
 class AgentConfigCommon(BaseModel):
@@ -312,20 +310,18 @@ class AgentTurnResponseTurnAwaitingInputPayload(BaseModel):
     turn: Turn
 
 
-AgentTurnResponseEventPayload = register_schema(
-    Annotated[
-        Union[
-            AgentTurnResponseStepStartPayload,
-            AgentTurnResponseStepProgressPayload,
-            AgentTurnResponseStepCompletePayload,
-            AgentTurnResponseTurnStartPayload,
-            AgentTurnResponseTurnCompletePayload,
-            AgentTurnResponseTurnAwaitingInputPayload,
-        ],
-        Field(discriminator="event_type"),
+AgentTurnResponseEventPayload = Annotated[
+    Union[
+        AgentTurnResponseStepStartPayload,
+        AgentTurnResponseStepProgressPayload,
+        AgentTurnResponseStepCompletePayload,
+        AgentTurnResponseTurnStartPayload,
+        AgentTurnResponseTurnCompletePayload,
+        AgentTurnResponseTurnAwaitingInputPayload,
     ],
-    name="AgentTurnResponseEventPayload",
-)
+    Field(discriminator="event_type"),
+]
+register_schema(AgentTurnResponseEventPayload, name="AgentTurnResponseEventPayload")
 
 
 @json_schema_type

llama_stack/apis/common/content_types.py

@@ -63,19 +63,15 @@ class TextContentItem(BaseModel):
 
 
 # other modalities can be added here
-InterleavedContentItem = register_schema(
-    Annotated[
-        Union[ImageContentItem, TextContentItem],
-        Field(discriminator="type"),
-    ],
-    name="InterleavedContentItem",
-)
+InterleavedContentItem = Annotated[
+    Union[ImageContentItem, TextContentItem],
+    Field(discriminator="type"),
+]
+register_schema(InterleavedContentItem, name="InterleavedContentItem")
 
 # accept a single "str" as a special case since it is common
-InterleavedContent = register_schema(
-    Union[str, InterleavedContentItem, List[InterleavedContentItem]],
-    name="InterleavedContent",
-)
+InterleavedContent = Union[str, InterleavedContentItem, List[InterleavedContentItem]]
+register_schema(InterleavedContent, name="InterleavedContent")
 
 
 @json_schema_type
@@ -109,10 +105,8 @@ class ToolCallDelta(BaseModel):
 
 
 # streaming completions send a stream of ContentDeltas
-ContentDelta = register_schema(
-    Annotated[
-        Union[TextDelta, ImageDelta, ToolCallDelta],
-        Field(discriminator="type"),
-    ],
-    name="ContentDelta",
-)
+ContentDelta = Annotated[
+    Union[TextDelta, ImageDelta, ToolCallDelta],
+    Field(discriminator="type"),
+]
+register_schema(ContentDelta, name="ContentDelta")

llama_stack/apis/common/type_system.py

@@ -72,24 +72,22 @@ class DialogType(BaseModel):
     type: Literal["dialog"] = "dialog"
 
 
-ParamType = register_schema(
-    Annotated[
-        Union[
-            StringType,
-            NumberType,
-            BooleanType,
-            ArrayType,
-            ObjectType,
-            JsonType,
-            UnionType,
-            ChatCompletionInputType,
-            CompletionInputType,
-            AgentTurnInputType,
-        ],
-        Field(discriminator="type"),
+ParamType = Annotated[
+    Union[
+        StringType,
+        NumberType,
+        BooleanType,
+        ArrayType,
+        ObjectType,
+        JsonType,
+        UnionType,
+        ChatCompletionInputType,
+        CompletionInputType,
+        AgentTurnInputType,
     ],
-    name="ParamType",
-)
+    Field(discriminator="type"),
+]
+register_schema(ParamType, name="ParamType")
 
 """
 # TODO: recursive definition of ParamType in these containers

llama_stack/apis/datasets/datasets.py

@@ -84,13 +84,11 @@ class RowsDataSource(BaseModel):
     rows: List[Dict[str, Any]]
 
 
-DataSource = register_schema(
-    Annotated[
-        Union[URIDataSource, RowsDataSource],
-        Field(discriminator="type"),
-    ],
-    name="DataSource",
-)
+DataSource = Annotated[
+    Union[URIDataSource, RowsDataSource],
+    Field(discriminator="type"),
+]
+register_schema(DataSource, name="DataSource")
 
 
 class CommonDatasetFields(BaseModel):

llama_stack/apis/eval/eval.py

@@ -43,10 +43,8 @@ class AgentCandidate(BaseModel):
     config: AgentConfig
 
 
-EvalCandidate = register_schema(
-    Annotated[Union[ModelCandidate, AgentCandidate], Field(discriminator="type")],
-    name="EvalCandidate",
-)
+EvalCandidate = Annotated[Union[ModelCandidate, AgentCandidate], Field(discriminator="type")]
+register_schema(EvalCandidate, name="EvalCandidate")
 
 
 @json_schema_type

llama_stack/apis/inference/inference.py

@@ -144,18 +144,16 @@ class CompletionMessage(BaseModel):
     tool_calls: Optional[List[ToolCall]] = Field(default_factory=list)
 
 
-Message = register_schema(
-    Annotated[
-        Union[
-            UserMessage,
-            SystemMessage,
-            ToolResponseMessage,
-            CompletionMessage,
-        ],
-        Field(discriminator="role"),
+Message = Annotated[
+    Union[
+        UserMessage,
+        SystemMessage,
+        ToolResponseMessage,
+        CompletionMessage,
     ],
-    name="Message",
-)
+    Field(discriminator="role"),
+]
+register_schema(Message, name="Message")
 
 
 @json_schema_type
@@ -263,13 +261,11 @@ class GrammarResponseFormat(BaseModel):
     bnf: Dict[str, Any]
 
 
-ResponseFormat = register_schema(
-    Annotated[
-        Union[JsonSchemaResponseFormat, GrammarResponseFormat],
-        Field(discriminator="type"),
-    ],
-    name="ResponseFormat",
-)
+ResponseFormat = Annotated[
+    Union[JsonSchemaResponseFormat, GrammarResponseFormat],
+    Field(discriminator="type"),
+]
+register_schema(ResponseFormat, name="ResponseFormat")
 
 
 # This is an internally used class

llama_stack/apis/post_training/post_training.py

@@ -88,10 +88,8 @@ class QATFinetuningConfig(BaseModel):
     group_size: int
 
 
-AlgorithmConfig = register_schema(
-    Annotated[LoraFinetuningConfig | QATFinetuningConfig, Field(discriminator="type")],
-    name="AlgorithmConfig",
-)
+AlgorithmConfig = Annotated[LoraFinetuningConfig | QATFinetuningConfig, Field(discriminator="type")]
+register_schema(AlgorithmConfig, name="AlgorithmConfig")
 
 
 @json_schema_type

llama_stack/apis/scoring_functions/scoring_functions.py

@@ -78,17 +78,15 @@ class BasicScoringFnParams(BaseModel):
     )
 
 
-ScoringFnParams = register_schema(
-    Annotated[
-        Union[
-            LLMAsJudgeScoringFnParams,
-            RegexParserScoringFnParams,
-            BasicScoringFnParams,
-        ],
-        Field(discriminator="type"),
+ScoringFnParams = Annotated[
+    Union[
+        LLMAsJudgeScoringFnParams,
+        RegexParserScoringFnParams,
+        BasicScoringFnParams,
     ],
-    name="ScoringFnParams",
-)
+    Field(discriminator="type"),
+]
+register_schema(ScoringFnParams, name="ScoringFnParams")
 
 
 class CommonScoringFnFields(BaseModel):

llama_stack/apis/telemetry/telemetry.py

@@ -146,16 +146,14 @@ class SpanEndPayload(BaseModel):
     status: SpanStatus
 
 
-StructuredLogPayload = register_schema(
-    Annotated[
-        Union[
-            SpanStartPayload,
-            SpanEndPayload,
-        ],
-        Field(discriminator="type"),
+StructuredLogPayload = Annotated[
+    Union[
+        SpanStartPayload,
+        SpanEndPayload,
     ],
-    name="StructuredLogPayload",
-)
+    Field(discriminator="type"),
+]
+register_schema(StructuredLogPayload, name="StructuredLogPayload")
 
 
 @json_schema_type
@@ -164,17 +162,15 @@ class StructuredLogEvent(EventCommon):
     payload: StructuredLogPayload
 
 
-Event = register_schema(
-    Annotated[
-        Union[
-            UnstructuredLogEvent,
-            MetricEvent,
-            StructuredLogEvent,
-        ],
-        Field(discriminator="type"),
+Event = Annotated[
+    Union[
+        UnstructuredLogEvent,
+        MetricEvent,
+        StructuredLogEvent,
     ],
-    name="Event",
-)
+    Field(discriminator="type"),
+]
+register_schema(Event, name="Event")
 
 
 @json_schema_type

llama_stack/apis/tools/rag_tool.py

@@ -58,16 +58,14 @@ class LLMRAGQueryGeneratorConfig(BaseModel):
     template: str
 
 
-RAGQueryGeneratorConfig = register_schema(
-    Annotated[
-        Union[
-            DefaultRAGQueryGeneratorConfig,
-            LLMRAGQueryGeneratorConfig,
-        ],
-        Field(discriminator="type"),
+RAGQueryGeneratorConfig = Annotated[
+    Union[
+        DefaultRAGQueryGeneratorConfig,
+        LLMRAGQueryGeneratorConfig,
     ],
-    name="RAGQueryGeneratorConfig",
-)
+    Field(discriminator="type"),
+]
+register_schema(RAGQueryGeneratorConfig, name="RAGQueryGeneratorConfig")
 
 
 @json_schema_type

llama_stack/models/llama/datatypes.py

@@ -186,13 +186,11 @@ class TopKSamplingStrategy(BaseModel):
     top_k: int = Field(..., ge=1)
 
 
-SamplingStrategy = register_schema(
-    Annotated[
-        Union[GreedySamplingStrategy, TopPSamplingStrategy, TopKSamplingStrategy],
-        Field(discriminator="type"),
-    ],
-    name="SamplingStrategy",
-)
+SamplingStrategy = Annotated[
+    Union[GreedySamplingStrategy, TopPSamplingStrategy, TopKSamplingStrategy],
+    Field(discriminator="type"),
+]
+register_schema(SamplingStrategy, name="SamplingStrategy")
 
 
 @json_schema_type