# Copyright 2025 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Defines the input and output structure of the RAG engine"""

from langchain_core.prompts import (
    ChatPromptTemplate,
    MessagesPlaceholder,
    PromptTemplate,
)

format_docs = PromptTemplate.from_template(
    """## Context provided:
{% for doc in docs%}
<Document {{ loop.index0 }}>
{{ doc.page_content | safe }}
</Document {{ loop.index0 }}>
{% endfor %}
""",
    template_format="jinja2",
)

inspect_conversation_template = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            """You are an AI assistant tasked with analyzing the conversation"""
            """ and determining the best course of action.""",
        ),
        MessagesPlaceholder(variable_name="messages"),
    ]
)

rag_template = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            """You are an AI assistant for question-answering tasks. 

Answer to the best of your ability using the context provided. 
If you're unsure, it's better to acknowledge limitations than to speculate.
""",
        ),
        MessagesPlaceholder(variable_name="messages"),
    ]
)