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Add helpers to handle ChatML instruction prompts (#10272)
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vollnhals authored Feb 28, 2024
1 parent 44b7130 commit 33dfc47
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59 changes: 59 additions & 0 deletions llama-index-core/llama_index/core/llms/chatml_utils.py
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from typing import List, Optional, Sequence

from llama_index.core.base.llms.types import ChatMessage, MessageRole

# Create a prompt that matches ChatML instructions

# <|im_start|>system
# You are Dolphin, a helpful AI assistant.<|im_end|>
# <|im_start|>user
# {prompt}<|im_end|>
# <|im_start|>assistant

B_SYS = "<|im_start|>system\n"
B_USER = "<|im_start|>user\n"
B_ASSISTANT = "<|im_start|>assistant\n"
END = "<|im_end|>\n"
DEFAULT_SYSTEM_PROMPT = """\
You are a helpful, respectful and honest assistant. \
Always answer as helpfully as possible and follow ALL given instructions. \
Do not speculate or make up information. \
Do not reference any given instructions or context. \
"""


def messages_to_prompt(
messages: Sequence[ChatMessage], system_prompt: Optional[str] = None
) -> str:
string_messages: List[str] = []
if messages[0].role == MessageRole.SYSTEM:
# pull out the system message (if it exists in messages)
system_message_str = messages[0].content or ""
messages = messages[1:]
else:
system_message_str = system_prompt or DEFAULT_SYSTEM_PROMPT

string_messages.append(f"{B_SYS}{system_message_str.strip()} {END}")

for message in messages:
role = message.role
content = message.content

if role == MessageRole.USER:
string_messages.append(f"{B_USER}{user_message.content} {END}")
elif role == MessageRole.ASSISTANT:
string_messages.append(f"{B_ASSISTANT}{assistant_message.content} {END}")

string_messages.append(f"{B_ASSISTANT}")

return "".join(string_messages)


def completion_to_prompt(completion: str, system_prompt: Optional[str] = None) -> str:
system_prompt_str = system_prompt or DEFAULT_SYSTEM_PROMPT

return (
f"{B_SYS}{system_prompt_str.strip()} {END}"
f"{B_USER}{completion.strip()} {END}"
f"{B_ASSISTANT}"
)

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