Llm session refactor (#19)
Tests / test_and_lint (push) Successful in 34s

Reviewed-on: #19
Co-authored-by: Mathias <mathias2784@web.de>
This commit was merged in pull request #19.
This commit is contained in:
2026-10-18 06:29:37 +00:00
committed by mathias2784
parent b6be043426
commit ff588f899e
+30 -21
View File
@@ -22,6 +22,28 @@ from photools3.settings import settings
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
def _clean_llm_response(txt: str):
# remove ```json ... ``` wrap
txt = re.sub(r"^```json(.*)```$", r"\1", txt, flags=re.DOTALL).strip()
return txt
def _correction_prompt(
original_request: LlmRequest, exception: Exception, origial_json
):
correction_prompt = (
f"The previous response was invalid due to: {exception}. "
f"Please provide the corrected JSON based on this content: "
f"{origial_json}"
)
original_request.messages.append(
LlmRequestMessage(
role=LlmMessageRole.user,
content=correction_prompt,
)
)
class LlmSession: class LlmSession:
base_url: str = str(settings.llm_api_base_url) base_url: str = str(settings.llm_api_base_url)
api_key: str = settings.llm_api_key api_key: str = settings.llm_api_key
@@ -74,35 +96,22 @@ class LlmSession:
for attempt in range(max_retries + 1): for attempt in range(max_retries + 1):
try: try:
result_raw = self.client_chat_completion_create(request) result_raw = self.client_chat_completion_create(request)
# Clean the response (strip markdown code blocks if present) json_str = _clean_llm_response(result_raw)
json_str = re.sub(
r"^```json(.*)```$", r"\1", result_raw, flags=re.DOTALL
).strip()
# Parse and validate against the class-level response_model
return self.response_model.model_validate_json(json_str) return self.response_model.model_validate_json(json_str)
except (json.JSONDecodeError, ValidationError) as e: except (json.JSONDecodeError, ValidationError) as exc:
last_error = e last_error = exc
if attempt < max_retries: if attempt < max_retries:
logger.info("Chatbot response is invalid; promting to correct ...") logger.info("Chatbot response is invalid; promting to correct ...")
# Prepare a correction prompt _correction_prompt(
correction_prompt = ( request,
f"The previous response was invalid due to: {e}. " exc,
f"Please provide the corrected JSON based on this content: " json_str if "json_str" in locals() else "origial json",
f"{json_str if 'json_str' in locals() else 'the original input'}"
)
# Append correction prompt as a new user message for the next attempt
request.messages.append(
LlmRequestMessage(
role=LlmMessageRole.user,
content=correction_prompt,
)
) )
continue continue
else: else:
raise ValueError( raise ValueError(
f"Failed to parse or validate LLM response after {max_retries} retries: {e}" f"Failed to parse or validate LLM response after {max_retries} retries: {exc}"
) )
except Exception: except Exception:
raise raise