Added batch inference

source/api_definitions.py

@@ -27,6 +27,7 @@ from finetuning_types import (
 from model_types import (
     BuiltinTool,
     Content,
+    Dialog,
     InstructModel,
     Message,
     PretrainedModel,
@@ -130,6 +131,45 @@ class Inference(Protocol):
     ) -> Union[ChatCompletionResponse, ChatCompletionResponseStreamChunk]: ...
 
 
+@json_schema_type
+@dataclass
+class BatchCompletionRequest:
+    content_batch: List[Content]
+    model: PretrainedModel
+    sampling_params: SamplingParams = SamplingParams()
+    max_tokens: int = 0
+    logprobs: bool = False
+
+
+@json_schema_type
+@dataclass
+class BatchChatCompletionRequest:
+    model: InstructModel
+    batch_messages: List[Dialog]
+    sampling_params: SamplingParams = SamplingParams()
+
+    # zero-shot tool definitions as input to the model
+    available_tools: List[Union[BuiltinTool, ToolDefinition]] = field(
+        default_factory=list
+    )
+
+    max_tokens: int = 0
+    logprobs: bool = False
+
+
+class BatchInference(Protocol):
+    """Batch inference calls"""
+    def post_batch_completion(
+        self,
+        request: BatchCompletionRequest,
+    ) -> List[CompletionResponse]: ...
+
+    def post_batch_chat_completion(
+        self,
+        request: BatchChatCompletionRequest,
+    ) -> List[ChatCompletionResponse]: ...
+
+
 @dataclass
 class AgenticSystemCreateRequest:
     instructions: str

source/model_types.py

@@ -121,6 +121,13 @@ class Message:
     tool_responses: List[ToolResponse] = field(default_factory=list)
 
 
+@json_schema_type
+@dataclass
+class Dialog:
+    message: Message
+    message_history: List[Message] = None
+
+
 @dataclass
 class SamplingParams:
     temperature: float = 0.0

source/openapi.html

@@ -2406,22 +2406,22 @@
     ],
     "tags": [
         {
-            "name": "RewardScoring"
+            "name": "SyntheticDataGeneration"
-        },
-        {
-            "name": "Inference"
         },
         {
             "name": "Datasets"
         },
         {
-            "name": "SyntheticDataGeneration"
+            "name": "AgenticSystem"
+        },
+        {
+            "name": "Inference"
         },
         {
             "name": "Finetuning"
         },
         {
-            "name": "AgenticSystem"
+            "name": "RewardScoring"
         },
         {
             "name": "ShieldConfig",

source/openapi.yaml

@@ -1469,12 +1469,12 @@ security:
 servers:
 - url: http://llama.meta.com
 tags:
-- name: RewardScoring
-- name: Inference
-- name: Datasets
 - name: SyntheticDataGeneration
-- name: Finetuning
+- name: Datasets
 - name: AgenticSystem
+- name: Inference
+- name: Finetuning
+- name: RewardScoring
 - description: <SchemaDefinition schemaRef="#/components/schemas/ShieldConfig" />
   name: ShieldConfig
 - description: <SchemaDefinition schemaRef="#/components/schemas/AgenticSystemCreateRequest"