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Sleeping
| from typing import Tuple | |
| import logging | |
| from langchain_core.messages import AIMessage, HumanMessage | |
| def add_details(response: str, reasoning: str, svg_argmap: str) -> str: | |
| """Add reasoning details to the response message shown in chat.""" | |
| response_with_details = ( | |
| f"<p>{response}</p>" | |
| '<details id="reasoning">' | |
| "<summary><i>Internal reasoning trace</i></summary>" | |
| f"<code>{reasoning}</code></details>" | |
| '<details id="svg_argmap">' | |
| "<summary><i>Argument map</i></summary>" | |
| f"\n<div>\n{svg_argmap}\n</div>\n</details>" | |
| ) | |
| return response_with_details | |
| def get_details(response_with_details: str) -> Tuple[str, dict[str, str]]: | |
| """Extract response and details from response_with_details shown in chat.""" | |
| if "<details id=" not in response_with_details: | |
| return response_with_details, {} | |
| details_dict = {} | |
| response, *details_raw = response_with_details.split('<details id="') | |
| for details in details_raw: | |
| details_id, details_content = details.split('"', maxsplit=1) | |
| details_content = details_content.strip() | |
| if details_content.endswith("</code></details>"): | |
| details_content = details_content.split("<code>")[1].strip() | |
| details_content = details_content[:-len("</code></details>")].strip() | |
| elif details_content.endswith("</div></details>"): | |
| details_content = details_content.split("<div>")[1].strip() | |
| details_content = details_content[:-len("</div></details>")].strip() | |
| else: | |
| logging.warning(f"Unrecognized details content: {details_content}") | |
| details_content = "UNRECOGNIZED DETAILS CONTENT" | |
| details_dict[details_id] = details_content | |
| return response, details_dict | |
| def history_to_langchain_format(history: list[tuple[str, str]]) -> list: | |
| history_langchain_format = [] # History in LangChain format, as shown to the LLM | |
| for human, ai in history: | |
| history_langchain_format.append(HumanMessage(content=human)) | |
| if ai is None: | |
| continue | |
| response, details = get_details(ai) | |
| logging.debug(f"Details: {details}") | |
| content = response | |
| if "reasoning" in details: | |
| content += ( | |
| "\n\n" | |
| "#+BEGIN_INTERNAL_TRACE // Internal reasoning trace (hidden from user)\n" | |
| f"{details.get('reasoning', '')}\n" | |
| "#+END_INTERNAL_TRACE" | |
| ) | |
| history_langchain_format.append(AIMessage(content=content)) | |
| return history_langchain_format | |