Improved prompts of the system and agents #94
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (5)
backend/director/agents/prompt_clip.py (1)
47-47: Address the TODO comment: 'Improve this'There's a TODO comment indicating that the description needs enhancement.
Would you like assistance in improving the agent's description? I can help draft a more informative description or open a GitHub issue to track this task.
backend/director/agents/stream_video.py (1)
Line range hint
49-49: Incorrect error message in exception handlingIn the exception handling block, the
status_messageis set to "Error in calculating pricing," which is unrelated to streaming video and may confuse users.Apply this diff to correct the error message:
- video_content.status_message = "Error in calculating pricing." + video_content.status_message = "Error in streaming video."backend/director/agents/search.py (2)
63-63: Consider enhancing the description further.While the updated description is more informative, consider adding details about supported search types (semantic/keyword) and index types (spoken_word/scene) to better align with the agent's capabilities.
- self.description = "Agent to search information from VideoDB collections. Mainly used with a collection of videos." + self.description = "Agent to perform semantic and keyword searches across VideoDB collections, supporting both spoken word and scene-based indexing. Primarily used with video collections."
Line range hint
76-267: Consider refactoring the run method for improved maintainability.The method could benefit from several improvements:
Split the long method into smaller, focused functions:
_perform_search_process_search_results_generate_compilation_generate_summaryUpdate the docstring:
- Fix typo: "Retreive" → "Retrieve"
- Add type hints for parameters
- Document return values and exceptions
Standardize error handling:
- Create constants for common error messages
- Add specific error types for different failure scenarios
Here's a suggested structure:
from typing import Optional, List, Dict, Any class SearchAgent(BaseAgent): # ... existing code ... def run( self, query: str, search_type: str, index_type: str, collection_id: str, video_id: Optional[str] = None, result_threshold: int = 8, score_threshold: float = 0.2, dynamic_score_percentage: int = 20, *args: Any, **kwargs: Any, ) -> AgentResponse: """ Retrieve data from VideoDB collections and videos. Args: query: Search query string search_type: Type of search ('semantic' or 'keyword') index_type: Type of indexing ('spoken_word' or 'scene') collection_id: ID of the collection to search video_id: Optional ID of specific video to search result_threshold: Initial filter for top N matching documents score_threshold: Absolute threshold filter for relevance scores dynamic_score_percentage: Percentage for adaptive filtering mechanism Returns: AgentResponse containing search results, text summary and compilation video Raises: ValueError: If search parameters are invalid SearchError: If search operation fails """ try: search_results = self._perform_search( query, search_type, index_type, collection_id, video_id, result_threshold, score_threshold, dynamic_score_percentage ) processed_results = self._process_search_results(search_results) if not processed_results: return self._create_error_response("No search results found", query) compilation_url = self._generate_compilation(processed_results) summary = self._generate_summary(query, processed_results) return self._create_success_response(compilation_url) except Exception as e: logger.exception(f"Error in {self.agent_name}") return self._create_error_response(str(e))This structure would make the code more maintainable and easier to test.
backend/director/agents/pricing.py (1)
16-17: Fix typos and improve language clarity.The prompt introduction needs minor refinements:
- Remove "brilliant" as it may set unrealistic expectations
- Fix the typo "to to" in line 17
- Restructure line 17 for better clarity
- You are a brilliant pricing analyst working for VideoDB, a video database for AI apps. - You can access information from internet and also reference this sheet to provide answers to to the task your user (executive) asks. + You are a pricing analyst working for VideoDB, a video database for AI apps. + You can access information from the internet and reference this pricing sheet to provide answers to your user's (executive's) questions.
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📒 Files selected for processing (8)
backend/director/agents/editing.py(1 hunks)backend/director/agents/image_generation.py(1 hunks)backend/director/agents/pricing.py(2 hunks)backend/director/agents/profanity_remover.py(1 hunks)backend/director/agents/prompt_clip.py(1 hunks)backend/director/agents/search.py(1 hunks)backend/director/agents/stream_video.py(1 hunks)backend/director/core/reasoning.py(1 hunks)
✅ Files skipped from review due to trivial changes (2)
- backend/director/agents/image_generation.py
- backend/director/agents/editing.py
🔇 Additional comments (3)
backend/director/agents/pricing.py (3)
18-19: LGTM! Clear and accurate service description.
The description of VideoDB's core features and capabilities is well-structured and informative. The explanation of programmatic streams and indexing provides valuable context for pricing discussions.
98-98: LGTM! Improved description clarity.
The description is now more concise while maintaining clarity about the agent's purpose and capabilities. This change aligns well with the similar improvements made to other agent descriptions across the codebase.
Line range hint 41-83: Verify pricing consistency across the codebase.
Let's ensure the pricing information in this prompt matches other references in the codebase to maintain consistency.
✅ Verification successful
Let me search for any other pricing-related files or configurations to ensure we have a complete view.
Pricing information is consistent and self-contained
The pricing information is defined in a single source of truth within backend/director/agents/pricing.py. There are no conflicting pricing definitions or inconsistencies found across the codebase. All pricing-related logic and calculations reference this single pricing structure.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other pricing references in the codebase
rg -A 2 -B 2 '"data_storage"|"index_storage"|"spoken_index_creation"|"scene_index_creation"|"programmable_video_stream_generation"|"simple_streaming"|"search_queries"' --type py
Length of output: 3051
Script:
#!/bin/bash
# Search for pricing-related files
fd -e py -e json -e yaml -e yml pricing
# Search for any other price or cost references
rg -i "price|cost" --type py --type json --type yaml
Length of output: 3763
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Changed system prompt :
Changed summary prompt to reach out on Discord in case of issues and error.
Changed other agent prompts to perform better with queries.
Summary by CodeRabbit
Release Notes
New Features
Bug Fixes
Documentation