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Pass doc/web/code/operator context as list[dict] of message content

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This commit is contained in:
Debanjum
2025-05-21 23:04:37 -07:00
parent 98b56316e4
commit 02ee4e90a2
1 changed files with 28 additions and 15 deletions
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43
src/khoj/processor/conversation/utils.py
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@@ -420,7 +420,7 @@ def generate_chatml_messages_with_context(
# Extract Chat History for Context
chatml_messages: List[ChatMessage] = []
for chat in conversation_log.get("chat", []):
message_context = ""
message_context = []
message_attached_files = ""
generated_assets = {}
@@ -432,16 +432,6 @@ def generate_chatml_messages_with_context(
if chat["by"] == "khoj" and "excalidraw" in chat["intent"].get("type", ""):
chat_message = chat["intent"].get("inferred-queries")[0]
if not is_none_or_empty(chat.get("context")):
references = "\n\n".join(
{
f"# File: {item['file']}\n## {item['compiled']}\n"
for item in chat.get("context") or []
if isinstance(item, dict)
}
)
message_context += f"{prompts.notes_conversation.format(references=references)}\n\n"
if chat.get("queryFiles"):
raw_query_files = chat.get("queryFiles")
query_files_dict = dict()
@@ -452,15 +442,38 @@ def generate_chatml_messages_with_context(
chatml_messages.append(ChatMessage(content=message_attached_files, role=role))
if not is_none_or_empty(chat.get("onlineContext")):
message_context += f"{prompts.online_search_conversation.format(online_results=chat.get('onlineContext'))}"
message_context += [
{
"type": "text",
"text": f"{prompts.online_search_conversation.format(online_results=chat.get('onlineContext'))}",
}
]
if not is_none_or_empty(chat.get("codeContext")):
message_context += f"{prompts.code_executed_context.format(code_results=chat.get('codeContext'))}"
message_context += [
{
"type": "text",
"text": f"{prompts.code_executed_context.format(code_results=chat.get('codeContext'))}",
}
]
if not is_none_or_empty(chat.get("operatorContext")):
message_context += (
f"{prompts.operator_execution_context.format(operator_results=chat.get('operatorContext'))}"
message_context += [
{
"type": "text",
"text": f"{prompts.operator_execution_context.format(operator_results=chat.get('operatorContext'))}",
}
]
if not is_none_or_empty(chat.get("context")):
references = "\n\n".join(
{
f"# File: {item['file']}\n## {item['compiled']}\n"
for item in chat.get("context") or []
if isinstance(item, dict)
}
)
message_context += [{"type": "text", "text": f"{prompts.notes_conversation.format(references=references)}"}]
if not is_none_or_empty(message_context):
reconstructed_context_message = ChatMessage(content=message_context, role="user")