chore: move all Llama Stack types from llama-models to llama-stack (#1098)

llama-models should have extremely minimal cruft. Its sole purpose
should be didactic -- show the simplest implementation of the llama
models and document the prompt formats, etc.

This PR is the complement to
https://github.com/meta-llama/llama-models/pull/279

## Test Plan

Ensure all `llama` CLI `model` sub-commands work:

```bash
llama model list
llama model download --model-id ...
llama model prompt-format -m ...
```

Ran tests:
```bash
cd tests/client-sdk
LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/
LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/
LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/
```

Create a fresh venv `uv venv && source .venv/bin/activate` and run
`llama stack build --template fireworks --image-type venv` followed by
`llama stack run together --image-type venv` <-- the server runs

Also checked that the OpenAPI generator can run and there is no change
in the generated files as a result.

```bash
cd docs/openapi_generator
sh run_openapi_generator.sh
```

llama_stack/models/llama/llama3/template_data.py

@@ -0,0 +1,120 @@
+# 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.
+
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# top-level folder for each specific model found within the models/ directory at
+# the top-level of this source tree.
+
+from llama_models.datatypes import (
+    BuiltinTool,
+    StopReason,
+    ToolCall,
+)
+
+from .prompt_templates import (
+    BuiltinToolGenerator,
+    JsonCustomToolGenerator,
+    ToolResponseGenerator,
+)
+
+INSTRUCTION = "You are a helpful assistant."
+
+
+def system_message_builtin_tools_only():
+    return {
+        "builtin_tools": BuiltinToolGenerator().data_examples()[0],
+        "custom_tools": [],
+        "instruction": INSTRUCTION,
+    }
+
+
+def system_message_builtin_code_only():
+    return {
+        "builtin_tools": BuiltinToolGenerator().data_examples()[1],
+        "custom_tools": [],
+        "instruction": "",
+    }
+
+
+def system_message_custom_tools_only():
+    return {
+        "builtin_tools": [],
+        "custom_tools": JsonCustomToolGenerator().data_examples()[0],
+        "instruction": INSTRUCTION,
+    }
+
+
+def system_message_builtin_and_custom_tools():
+    return {
+        "builtin_tools": BuiltinToolGenerator().data_examples()[0],
+        "custom_tools": JsonCustomToolGenerator().data_examples()[0],
+        "instruction": INSTRUCTION,
+    }
+
+
+def system_default():
+    return {
+        "builtin_tools": [],
+        "custom_tools": [],
+        "instruction": INSTRUCTION,
+    }
+
+
+def tool_success():
+    return ToolResponseGenerator().data_examples()[0]
+
+
+def tool_failure():
+    return ToolResponseGenerator().data_examples()[1]
+
+
+def assistant_builtin_tool_call():
+    return {
+        "content": "",
+        "tool_call": ToolCall(
+            call_id="uuid",
+            tool_name=BuiltinTool.brave_search,
+            arguments={
+                "query": "Who won NBA in 2024?",
+            },
+        ),
+        "stop_reason": StopReason.end_of_message,
+    }
+
+
+def assistant_custom_tool_call():
+    return {
+        "content": "",
+        "tool_call": ToolCall(
+            call_id="uuid",
+            tool_name="trending_songs",
+            arguments={"country": "US", "n": 10},
+        ),
+        "stop_reason": StopReason.end_of_turn,
+    }
+
+
+def assistant_default():
+    return {
+        "content": "Hi, I am a helpful assistant. What can I help you with today?",
+        "tool_call": None,
+        "stop_reason": StopReason.end_of_turn,
+    }
+
+
+def user_default():
+    return {"content": "Please tell me how to plan a trip to New York"}
+
+
+def user_images():
+    return {"content": "<|image|><|image|>What do these images depict?"}
+
+
+def user_interleaved_images():
+    return {"content": "<|image|>Describe the image in one sentence.<|image|>Write a haiku about these images"}