API Updates: fleshing out RAG APIs, introduce "llama stack" CLI command (#51)

* add tools to chat completion request

* use templates for generating system prompts

* Moved ToolPromptFormat and jinja templates to llama_models.llama3.api

* <WIP> memory changes

- inlined AgenticSystemInstanceConfig so API feels more ergonomic
- renamed it to AgentConfig, AgentInstance -> Agent
- added a MemoryConfig and `memory` parameter
- added `attachments` to input and `output_attachments` to the response

- some naming changes

* InterleavedTextAttachment -> InterleavedTextMedia, introduce memory tool

* flesh out memory banks API

* agentic loop has a RAG implementation

* faiss provider implementation

* memory client works

* re-work tool definitions, fix FastAPI issues, fix tool regressions

* fix agentic_system utils

* basic RAG seems to work

* small bug fixes for inline attachments

* Refactor custom tool execution utilities

* Bug fix, show memory retrieval steps in EventLogger

* No need for api_key for Remote providers

* add special unicode character ↵ to showcase newlines in model prompt templates

* remove api.endpoints imports

* combine datatypes.py and endpoints.py into api.py

* Attachment / add TTL api

* split batch_inference from inference

* minor import fixes

* use a single impl for ChatFormat.decode_assistant_mesage

* use interleaved_text_media_as_str() utilityt

* Fix api.datatypes imports

* Add blobfile for tiktoken

* Add ToolPromptFormat to ChatFormat.encode_message so that tools are encoded properly

* templates take optional --format={json,function_tag}

* Rag Updates

* Add `api build` subcommand -- WIP

* fix

* build + run image seems to work

* <WIP> adapters

* bunch more work to make adapters work

* api build works for conda now

* ollama remote adapter works

* Several smaller fixes to make adapters work

Also, reorganized the pattern of __init__ inside providers so
configuration can stay lightweight

* llama distribution -> llama stack + containers (WIP)

* All the new CLI for api + stack work

* Make Fireworks and Together into the Adapter format

* Some quick fixes to the CLI behavior to make it consistent

* Updated README phew

* Update cli_reference.md

* llama_toolchain/distribution -> llama_toolchain/core

* Add termcolor

* update paths

* Add a log just for consistency

* chmod +x scripts

* Fix api dependencies not getting added to configuration

* missing import lol

* Delete utils.py; move to agentic system

* Support downloading of URLs for attachments for code interpreter

* Simplify and generalize `llama api build` yay

* Update `llama stack configure` to be very simple also

* Fix stack start

* Allow building an "adhoc" distribution

* Remote `llama api []` subcommands

* Fixes to llama stack commands and update docs

* Update documentation again and add error messages to llama stack start

* llama stack start -> llama stack run

* Change name of build for less confusion

* Add pyopenapi fork to the repository, update RFC assets

* Remove conflicting annotation

* Added a "--raw" option for model template printing

---------

Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>

llama_toolchain/inference/prepare_messages.py

@@ -0,0 +1,84 @@
+# 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 llama_models.llama3.api.datatypes import *  # noqa: F403
+from llama_toolchain.inference.api import *  # noqa: F403
+from llama_models.llama3.prompt_templates import (
+    BuiltinToolGenerator,
+    FunctionTagCustomToolGenerator,
+    JsonCustomToolGenerator,
+    SystemDefaultGenerator,
+)
+
+
+def prepare_messages(request: ChatCompletionRequest) -> List[Message]:
+
+    assert request.tool_choice == ToolChoice.auto, "Only `ToolChoice.auto` supported"
+
+    existing_messages = request.messages
+    existing_system_message = None
+    if existing_messages[0].role == Role.system.value:
+        existing_system_message = existing_messages.pop(0)
+
+    assert (
+        existing_messages[0].role != Role.system.value
+    ), "Should only have 1 system message"
+
+    messages = []
+
+    default_gen = SystemDefaultGenerator()
+    default_template = default_gen.gen()
+
+    sys_content = ""
+
+    tool_template = None
+    if request.tools:
+        tool_gen = BuiltinToolGenerator()
+        tool_template = tool_gen.gen(request.tools)
+
+        sys_content += tool_template.render()
+        sys_content += "\n"
+
+    sys_content += default_template.render()
+
+    if existing_system_message:
+        # TODO: this fn is needed in many places
+        def _process(c):
+            if isinstance(c, str):
+                return c
+            else:
+                return "<media>"
+
+        sys_content += "\n"
+
+        if isinstance(existing_system_message.content, str):
+            sys_content += _process(existing_system_message.content)
+        elif isinstance(existing_system_message.content, list):
+            sys_content += "\n".join(
+                [_process(c) for c in existing_system_message.content]
+            )
+
+    messages.append(SystemMessage(content=sys_content))
+
+    has_custom_tools = any(isinstance(dfn.tool_name, str) for dfn in request.tools)
+    if has_custom_tools:
+        if request.tool_prompt_format == ToolPromptFormat.json:
+            tool_gen = JsonCustomToolGenerator()
+        elif request.tool_prompt_format == ToolPromptFormat.function_tag:
+            tool_gen = FunctionTagCustomToolGenerator()
+        else:
+            raise ValueError(
+                f"Non supported ToolPromptFormat {request.tool_prompt_format}"
+            )
+
+        custom_tools = [t for t in request.tools if isinstance(t.tool_name, str)]
+        custom_template = tool_gen.gen(custom_tools)
+        messages.append(UserMessage(content=custom_template.render()))
+
+    # Add back existing messages from the request
+    messages += existing_messages
+
+    return messages