Codemod from llama_toolchain -> llama_stack

- added providers/registry
- cleaned up api/ subdirectories and moved impls away
- restructured api/api.py
- from llama_stack.apis.<api> import foo should work now
- update imports to do llama_stack.apis.<api>
- update many other imports
- added __init__, fixed some registry imports
- updated registry imports
- create_agentic_system -> create_agent
- AgenticSystem -> Agent

llama_stack/apis/batch_inference/batch_inference.py

@@ -0,0 +1,71 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from typing import List, Optional, Protocol
+
+from llama_models.schema_utils import json_schema_type, webmethod
+
+from pydantic import BaseModel, Field
+
+from llama_models.llama3.api.datatypes import *  # noqa: F403
+from llama_stack.apis.inference import *  # noqa: F403
+
+
+@json_schema_type
+class BatchCompletionRequest(BaseModel):
+    model: str
+    content_batch: List[InterleavedTextMedia]
+    sampling_params: Optional[SamplingParams] = SamplingParams()
+    logprobs: Optional[LogProbConfig] = None
+
+
+@json_schema_type
+class BatchCompletionResponse(BaseModel):
+    completion_message_batch: List[CompletionMessage]
+
+
+@json_schema_type
+class BatchChatCompletionRequest(BaseModel):
+    model: str
+    messages_batch: List[List[Message]]
+    sampling_params: Optional[SamplingParams] = SamplingParams()
+
+    # zero-shot tool definitions as input to the model
+    tools: Optional[List[ToolDefinition]] = Field(default_factory=list)
+    tool_choice: Optional[ToolChoice] = Field(default=ToolChoice.auto)
+    tool_prompt_format: Optional[ToolPromptFormat] = Field(
+        default=ToolPromptFormat.json
+    )
+    logprobs: Optional[LogProbConfig] = None
+
+
+@json_schema_type
+class BatchChatCompletionResponse(BaseModel):
+    completion_message_batch: List[CompletionMessage]
+
+
+class BatchInference(Protocol):
+    @webmethod(route="/batch_inference/completion")
+    async def batch_completion(
+        self,
+        model: str,
+        content_batch: List[InterleavedTextMedia],
+        sampling_params: Optional[SamplingParams] = SamplingParams(),
+        logprobs: Optional[LogProbConfig] = None,
+    ) -> BatchCompletionResponse: ...
+
+    @webmethod(route="/batch_inference/chat_completion")
+    async def batch_chat_completion(
+        self,
+        model: str,
+        messages_batch: List[List[Message]],
+        sampling_params: Optional[SamplingParams] = SamplingParams(),
+        # zero-shot tool definitions as input to the model
+        tools: Optional[List[ToolDefinition]] = list,
+        tool_choice: Optional[ToolChoice] = ToolChoice.auto,
+        tool_prompt_format: Optional[ToolPromptFormat] = ToolPromptFormat.json,
+        logprobs: Optional[LogProbConfig] = None,
+    ) -> BatchChatCompletionResponse: ...