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https://github.com/khoj-ai/khoj.git
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Format online, notes, code context with YAML to be legibile for LLM
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parent
5bea0c705b
commit
d75ce4a9e3
5 changed files with 28 additions and 25 deletions
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@ -19,6 +19,7 @@ from khoj.processor.conversation.utils import (
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)
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from khoj.utils.helpers import ConversationCommand, is_none_or_empty
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from khoj.utils.rawconfig import LocationData
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from khoj.utils.yaml import yaml_dump
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logger = logging.getLogger(__name__)
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@ -152,7 +153,6 @@ def converse_anthropic(
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"""
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# Initialize Variables
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current_date = datetime.now()
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compiled_references = "\n\n".join({f"# File: {item['file']}\n## {item['compiled']}\n" for item in references})
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if agent and agent.personality:
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system_prompt = prompts.custom_personality.format(
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@ -176,7 +176,7 @@ def converse_anthropic(
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system_prompt = f"{system_prompt}\n{user_name_prompt}"
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# Get Conversation Primer appropriate to Conversation Type
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(compiled_references):
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(references):
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completion_func(chat_response=prompts.no_notes_found.format())
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return iter([prompts.no_notes_found.format()])
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elif conversation_commands == [ConversationCommand.Online] and is_none_or_empty(online_results):
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@ -184,12 +184,12 @@ def converse_anthropic(
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return iter([prompts.no_online_results_found.format()])
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context_message = ""
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if not is_none_or_empty(compiled_references):
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context_message = f"{prompts.notes_conversation.format(query=user_query, references=compiled_references)}\n\n"
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if not is_none_or_empty(references):
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context_message = f"{prompts.notes_conversation.format(query=user_query, references=yaml_dump(references))}\n\n"
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if ConversationCommand.Online in conversation_commands or ConversationCommand.Webpage in conversation_commands:
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context_message += f"{prompts.online_search_conversation.format(online_results=str(online_results))}\n\n"
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context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
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if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
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context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
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context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
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context_message = context_message.strip()
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# Setup Prompt with Primer or Conversation History
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@ -19,6 +19,7 @@ from khoj.processor.conversation.utils import (
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)
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from khoj.utils.helpers import ConversationCommand, is_none_or_empty
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from khoj.utils.rawconfig import LocationData
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from khoj.utils.yaml import yaml_dump
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logger = logging.getLogger(__name__)
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@ -157,7 +158,6 @@ def converse_gemini(
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"""
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# Initialize Variables
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current_date = datetime.now()
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compiled_references = "\n\n".join({f"# File: {item['file']}\n## {item['compiled']}\n" for item in references})
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if agent and agent.personality:
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system_prompt = prompts.custom_personality.format(
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@ -182,7 +182,7 @@ def converse_gemini(
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system_prompt = f"{system_prompt}\n{user_name_prompt}"
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# Get Conversation Primer appropriate to Conversation Type
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(compiled_references):
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(references):
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completion_func(chat_response=prompts.no_notes_found.format())
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return iter([prompts.no_notes_found.format()])
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elif conversation_commands == [ConversationCommand.Online] and is_none_or_empty(online_results):
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@ -190,12 +190,12 @@ def converse_gemini(
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return iter([prompts.no_online_results_found.format()])
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context_message = ""
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if not is_none_or_empty(compiled_references):
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context_message = f"{prompts.notes_conversation.format(query=user_query, references=compiled_references)}\n\n"
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if not is_none_or_empty(references):
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context_message = f"{prompts.notes_conversation.format(query=user_query, references=yaml_dump(references))}\n\n"
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if ConversationCommand.Online in conversation_commands or ConversationCommand.Webpage in conversation_commands:
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context_message += f"{prompts.online_search_conversation.format(online_results=str(online_results))}\n\n"
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context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
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if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
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context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
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context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
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context_message = context_message.strip()
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# Setup Prompt with Primer or Conversation History
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@ -19,6 +19,7 @@ from khoj.utils import state
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from khoj.utils.constants import empty_escape_sequences
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from khoj.utils.helpers import ConversationCommand, in_debug_mode, is_none_or_empty
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from khoj.utils.rawconfig import LocationData
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from khoj.utils.yaml import yaml_dump
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logger = logging.getLogger(__name__)
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@ -185,26 +186,24 @@ def converse_offline(
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system_prompt = f"{system_prompt}\n{user_name_prompt}"
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# Get Conversation Primer appropriate to Conversation Type
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(compiled_references):
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(references):
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return iter([prompts.no_notes_found.format()])
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elif conversation_commands == [ConversationCommand.Online] and is_none_or_empty(online_results):
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completion_func(chat_response=prompts.no_online_results_found.format())
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return iter([prompts.no_online_results_found.format()])
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context_message = ""
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if not is_none_or_empty(compiled_references):
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context_message = f"{prompts.notes_conversation_offline.format(references=compiled_references)}\n\n"
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if not is_none_or_empty(references):
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context_message = f"{prompts.notes_conversation_offline.format(references=yaml_dump(references))}\n\n"
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if ConversationCommand.Online in conversation_commands or ConversationCommand.Webpage in conversation_commands:
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simplified_online_results = online_results.copy()
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for result in online_results:
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if online_results[result].get("webpages"):
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simplified_online_results[result] = online_results[result]["webpages"]
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context_message += (
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f"{prompts.online_search_conversation_offline.format(online_results=str(simplified_online_results))}\n\n"
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)
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context_message += f"{prompts.online_search_conversation_offline.format(online_results=yaml_dump(simplified_online_results))}\n\n"
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if ConversationCommand.Code in conversation_commands and not is_none_or_empty(code_results):
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context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
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context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
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context_message = context_message.strip()
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# Setup Prompt with Primer or Conversation History
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@ -18,6 +18,7 @@ from khoj.processor.conversation.utils import (
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)
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from khoj.utils.helpers import ConversationCommand, is_none_or_empty
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from khoj.utils.rawconfig import LocationData
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from khoj.utils.yaml import yaml_dump
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logger = logging.getLogger(__name__)
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@ -155,7 +156,6 @@ def converse(
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"""
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# Initialize Variables
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current_date = datetime.now()
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compiled_references = "\n\n".join({f"# File: {item['file']}\n## {item['compiled']}\n" for item in references})
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if agent and agent.personality:
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system_prompt = prompts.custom_personality.format(
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@ -179,7 +179,7 @@ def converse(
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system_prompt = f"{system_prompt}\n{user_name_prompt}"
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# Get Conversation Primer appropriate to Conversation Type
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(compiled_references):
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if conversation_commands == [ConversationCommand.Notes] and is_none_or_empty(references):
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completion_func(chat_response=prompts.no_notes_found.format())
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return iter([prompts.no_notes_found.format()])
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elif conversation_commands == [ConversationCommand.Online] and is_none_or_empty(online_results):
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@ -187,12 +187,12 @@ def converse(
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return iter([prompts.no_online_results_found.format()])
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context_message = ""
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if not is_none_or_empty(compiled_references):
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context_message = f"{prompts.notes_conversation.format(references=compiled_references)}\n\n"
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if not is_none_or_empty(references):
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context_message = f"{prompts.notes_conversation.format(references=yaml_dump(references))}\n\n"
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if not is_none_or_empty(online_results):
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context_message += f"{prompts.online_search_conversation.format(online_results=str(online_results))}\n\n"
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context_message += f"{prompts.online_search_conversation.format(online_results=yaml_dump(online_results))}\n\n"
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if not is_none_or_empty(code_results):
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context_message += f"{prompts.code_executed_context.format(code_results=str(code_results))}\n\n"
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context_message += f"{prompts.code_executed_context.format(code_results=yaml_dump(code_results))}\n\n"
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context_message = context_message.strip()
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# Setup Prompt with Primer or Conversation History
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@ -41,3 +41,7 @@ def parse_config_from_string(yaml_config: dict) -> FullConfig:
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def parse_config_from_file(yaml_config_file):
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"Parse and validate config in YML file"
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return parse_config_from_string(load_config_from_file(yaml_config_file))
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def yaml_dump(data):
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return yaml.dump(data, allow_unicode=True, sort_keys=False, default_flow_style=False)
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