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add related structure; add LLM-based general reflector; add Reflection API
Summary of ChangesHello @rainsonGain, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a robust reflection framework designed to enhance the system's ability to learn from its own task executions. By providing a structured way to analyze outcomes, identify underlying issues, and generate improvement strategies, this module aims to make the Highlights
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Code Review
This pull request introduces a new reflection module for analyzing task executions using LLMs. The overall structure is well-defined with Reflection, Reflector, and GeneralReflector classes. However, I've identified several critical issues that need to be addressed. These include a synchronous LLM call within an async method which will block the event loop, a bug that will cause an AttributeError when building the LLM prompt, and incorrect error handling for JSON parsing. Additionally, there's a significant performance improvement opportunity by running reflectors concurrently. I've also pointed out some inconsistencies in the LLM prompt.
| self._llm = get_llm_model(self.model_config) | ||
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| analysis_input = self._build_analysis_input(reflection_input) | ||
| response = call_llm_model(self._llm, messages=analysis_input) |
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The analyze method is async, but it uses the synchronous call_llm_model. This will block the asyncio event loop, negating the benefits of using async. You should use the asynchronous version, acall_llm_model.
You'll also need to update the import on line 11 to include acall_llm_model from aworld.models.llm.
| response = call_llm_model(self._llm, messages=analysis_input) | |
| response = await acall_llm_model(self._llm, messages=analysis_input) |
| {reflection_input.input_data} | ||
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| Output: | ||
| {reflection_input.output_data.answer} |
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You are trying to access reflection_input.output_data.answer. However, output_data is likely a ModelResponse object, which does not have an answer attribute but a content attribute. Using .answer will raise an AttributeError.
| {reflection_input.output_data.answer} | |
| {reflection_input.output_data.content} |
| for reflector in valid_reflectors: | ||
| if aworld.debug_mode: | ||
| logger.info(f"Running reflector: {reflector.name}") | ||
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| try: | ||
| # Each reflector performs its reflection asynchronously | ||
| result = await reflector.reflect(reflect_input) | ||
| results.append(result) | ||
| # Add result to history | ||
| self.history.add_reflection(result) | ||
| except Exception as e: | ||
| logger.error(f"Reflector {reflector.name} failed: {e}") | ||
| if aworld.debug_mode: | ||
| logger.error(f"Reflector {reflector.name} failed: {traceback.format_exc()}") |
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The current implementation runs reflectors sequentially in a for loop. Since reflectors can be I/O-bound (e.g., GeneralReflector making network calls), running them concurrently would significantly improve performance. You can use asyncio.gather to parallelize their execution.
Note: This change requires import asyncio at the top of the file, and from typing import Optional if not already present.
async def _run_reflector(reflector: Reflector) -> Optional[ReflectionResult]:
if aworld.debug_mode:
logger.info(f"Running reflector: {reflector.name}")
try:
result = await reflector.reflect(reflect_input)
self.history.add_reflection(result)
return result
except Exception as e:
logger.error(f"Reflector {reflector.name} failed: {e}")
if aworld.debug_mode:
logger.error(f"Reflector {reflector.name} failed: {traceback.format_exc()}")
return None
tasks = [_run_reflector(reflector) for reflector in valid_reflectors]
gathered_results = await asyncio.gather(*tasks)
results.extend([res for res in gathered_results if res is not None])| "string: Observation 1", | ||
| "string: Observation 2" | ||
| ], | ||
| "root_cause": [ |
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The JSON schema in the system prompt specifies "root_cause" (singular), but the Reflector.reflect method expects to extract "root_causes" (plural) from the analysis result. This mismatch will cause result.root_causes to always be an empty list. Please correct the schema to use "root_causes".
| "root_cause": [ | |
| "root_causes": [ |
| logger.error( | ||
| f"Failed to parse reflection response {response.raw_response} \n{traceback.format_exc()}") | ||
| return { | ||
| "summary": response, |
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In the except block of _parse_response, if JSON parsing fails, you are setting "summary": response. Here, response is a ModelResponse object, not a string. This will likely cause type errors downstream. You should probably use response.content or a specific error message as the summary.
| "summary": response, | |
| "summary": response.content, |
| key_findings, root_cause,insights, suggestions do not necessarily have values, but if there are values, they must ensure logical, correctness and authenticity. | ||
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| # Output Format | ||
| You must strictly output a **single valid JSON object**. Do not include markdown fencing (like ```json) or preamble text. | ||
| root_cause, insights, suggestions |
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There are a couple of small issues in the system prompt:
- On line 186,
root_causeshould beroot_causesto be consistent with the JSON schema and the rest of the code. - Line 190 appears to be stray text and should be removed.
| key_findings, root_cause,insights, suggestions do not necessarily have values, but if there are values, they must ensure logical, correctness and authenticity. | |
| # Output Format | |
| You must strictly output a **single valid JSON object**. Do not include markdown fencing (like ```json) or preamble text. | |
| root_cause, insights, suggestions | |
| key_findings, root_causes, insights, suggestions do not necessarily have values, but if there are values, they must ensure logical, correctness and authenticity. | |
| # Output Format | |
| You must strictly output a **single valid JSON object**. Do not include markdown fencing (like ```json) or preamble text. |
| if not data: | ||
| content = response.content | ||
| try: | ||
| import re |
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The import re statement is inside the _parse_response method. According to PEP 8, imports should be at the top of the file. This improves readability and avoids re-importing the module on every call. Please move this import to the top of the file.
1 participant
Add related structure;
Add LLM-based general reflector;
Add Reflection API