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Do not yaml format raw code results in context for LLM. It's confusing

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This commit is contained in:
Debanjum 2024-11-01 12:04:38 -07:00
parent cd75151431
commit c1c779a7ef
5 changed files with 5 additions and 7 deletions
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2
src/khoj/processor/conversation/anthropic/anthropic_chat.py
View file

@ -189,7 +189,7 @@ def converse_anthropic(
if ConversationCommand.Online in conversation_commands or ConversationCommand.Webpage in conversation_commands:
context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
context_message = context_message.strip()
# Setup Prompt with Primer or Conversation History

2
src/khoj/processor/conversation/google/gemini_chat.py
View file

@ -193,7 +193,7 @@ def converse_gemini(
if ConversationCommand.Online in conversation_commands or ConversationCommand.Webpage in conversation_commands:
context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
context_message = context_message.strip()
# Setup Prompt with Primer or Conversation History

4
src/khoj/processor/conversation/offline/chat_model.py
View file

@ -160,8 +160,6 @@ def converse_offline(
assert loaded_model is None or isinstance(loaded_model, Llama), "loaded_model must be of type Llama, if configured"
offline_chat_model = loaded_model or download_model(model, max_tokens=max_prompt_size)
tracer["chat_model"] = model
compiled_references = "\n\n".join({f"# File: {item['file']}\n## {item['compiled']}\n" for item in references})
current_date = datetime.now()
if agent and agent.personality:
@ -203,7 +201,7 @@ def converse_offline(
context_message += f"{prompts.online_search_conversation_offline.format(online_results=yaml_dump(simplified_online_results))}\n\n"
if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
context_message = context_message.strip()
# Setup Prompt with Primer or Conversation History

2
src/khoj/processor/conversation/openai/gpt.py
View file

@ -191,7 +191,7 @@ def converse(
if not is_none_or_empty(online_results):
context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
if not is_none_or_empty(code_results):
context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
context_message = context_message.strip()
# Setup Prompt with Primer or Conversation History

2
src/khoj/processor/conversation/utils.py
View file

@ -20,7 +20,7 @@ from langchain.schema import ChatMessage
from llama_cpp.llama import Llama
from transformers import AutoTokenizer
from khoj.database.adapters import ConversationAdapters, ais_user_subscribed
from khoj.database.adapters import ConversationAdapters
from khoj.database.models import ChatModelOptions, ClientApplication, KhojUser
from khoj.processor.conversation import prompts
from khoj.processor.conversation.offline.utils import download_model, infer_max_tokens