{"workspace_id": "appworld_qwen3_32b", "memory_id": "83bc064d7004416e9b58b868b206f0a9", "memory_type": "task", "when_to_use": "When needing to update user-specific data across paginated API results with potential existing records", "content": "Successfully handled both creation and updating of song reviews by: 1) Using exception handling to detect existing reviews (409 conflict), 2) Filtering reviews by user email to identify owned reviews, 3) Implementing pagination for playlist/song discovery, and 4) Leveraging API docs to identify required parameters (e.g., review_id for updates). The combination of error handling + user-specific filtering enabled reliable state transitions from existing low ratings to 5-star ratings.", "score": 0, "time_created": "2025-11-04 17:43:09", "time_modified": "2025-11-04 17:43:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When needing to update user-specific data across paginated API results with potential existing records", "category": "success", "created_time": "2025-11-04 17:43:09", "modified_time": "2025-11-04 17:43:09", "extra_info": {"tags": ["spotify", "ratings", "pagination", "api-exception-handling", "user-specific-data"], "generalized_query": "Modify user-generated ratings/reviews for media items across paginated API results"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "431b95ce6bfd4939afc8574bcb3208b9", "memory_type": "task", "when_to_use": "When interacting with nested data structures in API responses", "content": "Always validate nested key paths in API responses before accessing them. Use explicit checks for dictionary key existence and nested object structures to avoid KeyError exceptions.", "score": 0, "time_created": "2025-11-04 17:43:10", "time_modified": "2025-11-04 17:43:10", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When interacting with nested data structures in API responses", "category": "failure", "created_time": "2025-11-04 17:43:10", "modified_time": "2025-11-04 17:43:10", "extra_info": {"tags": ["API", "nested data", "KeyError", "Spotify", "ratings"], "generalized_query": "Update user-specific metadata (e.g., ratings) in music streaming platforms using nested API responses"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c4a9583a908e419389a601350060f3ec", "memory_type": "task", "when_to_use": "When retrieving user-specific data from paginated API endpoints requiring authentication", "content": "The successful pattern involved: 1) Authenticating via supervisor credentials to access protected APIs, 2) Using pagination loops to exhaustively collect all album data, 3) Extracting song IDs from album data to fetch individual song metadata, 4) Aggregating play counts across all songs to determine the maximum value. This approach ensures comprehensive data collection despite API pagination limits.", "score": 0, "time_created": "2025-11-04 17:43:02", "time_modified": "2025-11-04 17:43:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When retrieving user-specific data from paginated API endpoints requiring authentication", "category": "success", "created_time": "2025-11-04 17:43:02", "modified_time": "2025-11-04 17:43:02", "extra_info": {"tags": ["spotify", "authentication", "pagination", "media-library", "play-count", "aggregation"], "generalized_query": "Identify the most frequently interacted-with item in a user's media library across paginated API results"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4306978d0891401bb034482dd31454c0", "memory_type": "task", "when_to_use": "When retrieving user-specific song play counts from Spotify's API", "content": "Always verify API documentation to confirm whether an endpoint provides play count data. Do not assume metadata like 'reviews' or 'likes' correlates with play frequency. Use the most direct available metric (e.g., show_song_privates for user-specific play counts if available).", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least-played song in my Spotify song library", "when_to_use": "When retrieving user-specific song play counts from Spotify's API", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "extra_info": {"tags": ["spotify", "play-count", "api-validation", "data-accuracy"], "generalized_query": "Identify the song with the lowest engagement metric (e.g., plays, listens) in a user's music library"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f47c6426655c4c2ebe29489f2fa438e7", "memory_type": "task", "when_to_use": "When handling API validation errors in parameter constraints", "content": "Always validate parameter constraints in API documentation before execution. For parameters like min_rating (≥1), avoid values that violate constraints even if logically appealing (e.g., using 0 to bypass filters).", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least-played song in my Spotify song library", "when_to_use": "When handling API validation errors in parameter constraints", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "extra_info": {"tags": ["api-parameters", "constraint-validation", "error-prevention"], "generalized_query": "Execute API calls requiring numerical parameters with strict range constraints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "572a2b924ee649b2a63cdb4ed2cffb8a", "memory_type": "task", "when_to_use": "When working with paginated API responses that require complete dataset aggregation", "content": "Implemented a robust pagination loop using page_index incrementation until empty responses were received, ensuring complete dataset collection. This approach avoids undercounting by not relying on fixed page limits and handles variable API response sizes gracefully.", "score": 0, "time_created": "2025-11-04 17:43:17", "time_modified": "2025-11-04 17:43:17", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When working with paginated API responses that require complete dataset aggregation", "category": "success", "created_time": "2025-11-04 17:43:17", "modified_time": "2025-11-04 17:43:17", "extra_info": {"tags": ["pagination handling", "dataset completeness", "API iteration", "counting strategy"], "generalized_query": "Accurately count items in a paginated API endpoint with unknown total size"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f357ffeb3ffa48358bc12f3ffe19c009", "memory_type": "task", "when_to_use": "When authenticating to protected services requiring account credentials", "content": "Successfully retrieved encrypted credentials via supervisor.show_account_passwords before initiating API authentication. Implemented specific credential filtering by account name and proper parameter mapping during login, establishing a secure and reliable authentication pattern for subsequent API interactions.", "score": 0, "time_created": "2025-11-04 17:43:17", "time_modified": "2025-11-04 17:43:17", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When authenticating to protected services requiring account credentials", "category": "success", "created_time": "2025-11-04 17:43:17", "modified_time": "2025-11-04 17:43:17", "extra_info": {"tags": ["secure authentication", "credential management", "API login", "supervisor integration"], "generalized_query": "Securely access account-protected APIs using supervisor-managed credentials"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "db2b7b3ae0e9410aa2a022b690f38ed1", "memory_type": "task", "when_to_use": "When determining the most-liked song in playlists based on API data", "content": "Always validate API endpoints for direct metric retrieval (e.g., song like_count) instead of inferring metrics from indirect correlations (e.g., playlist frequency). Use the 'show_song' API to fetch actual like counts rather than assuming playlist occurrences indicate popularity.", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When determining the most-liked song in playlists based on API data", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "extra_info": {"tags": ["Spotify", "like-count", "API-usage", "data-validation", "media-library"], "generalized_query": "Identify the top-rated item in a user's media library based on nested API data"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "baabeaca71a6478fb7bf35b059b38c7d", "memory_type": "task", "when_to_use": "When handling paginated API responses for comprehensive data collection", "content": "Implement robust pagination loops with explicit termination conditions (e.g., empty responses) to ensure full dataset collection. Avoid hardcoding page limits (e.g., page_index < 10) as this may truncate results and lead to incomplete analysis.", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When handling paginated API responses for comprehensive data collection", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "extra_info": {"tags": ["pagination", "data-aggregation", "API-iteration", "dataset-completeness"], "generalized_query": "Aggregate data from paginated API endpoints to ensure complete dataset coverage"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e91c8c7382834a629f983ea31a867bd1", "memory_type": "task", "when_to_use": "When interacting with APIs to modify user data (e.g., ratings, reviews)", "content": "Always verify API capabilities and data structure before assuming field existence or operation availability. Use 'show_<resource>' endpoints to inspect available fields and ensure API actions (create/update) align with existing data constraints.", "score": 0, "time_created": "2025-11-04 17:44:02", "time_modified": "2025-11-04 17:44:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When interacting with APIs to modify user data (e.g., ratings, reviews)", "category": "failure", "created_time": "2025-11-04 17:44:02", "modified_time": "2025-11-04 17:44:02", "extra_info": {"tags": ["api-usage", "data-structure", "rating-system", "error-handling"], "generalized_query": "Modify user-generated content ratings based on existing preferences"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ee7e88dac8d4a478875fe7938220d9c", "memory_type": "task", "when_to_use": "When working with paginated API endpoints that require complete dataset retrieval", "content": "Used while loops with page_index increment to fully paginate through both song libraries and reviews. This ensures completeness by continuing requests until empty responses are received, avoiding partial data processing. Works effectively with Spotify's page-based API design.", "score": 0, "time_created": "2025-11-04 17:44:03", "time_modified": "2025-11-04 17:44:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked...", "when_to_use": "When working with paginated API endpoints that require complete dataset retrieval", "category": "success", "created_time": "2025-11-04 17:44:03", "modified_time": "2025-11-04 17:44:03", "extra_info": {"tags": ["pagination", "data-completeness", "API", "Spotify", "dataset-retrieval"], "generalized_query": "Process complete datasets from paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2a4a0d14ae8d4353a29afae52aef3010", "memory_type": "task", "when_to_use": "When attempting to access an app's API that requires authentication and the initial login fails", "content": "Always verify authentication status and required parameters (e.g., phone number) before retrying failed API calls. Use explicit error handling for credential validation and avoid hardcoding values like password reset codes.", "score": 0, "time_created": "2025-11-04 17:44:14", "time_modified": "2025-11-04 17:44:14", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When attempting to access an app's API that requires authentication and the initial login fails", "category": "failure", "created_time": "2025-11-04 17:44:14", "modified_time": "2025-11-04 17:44:14", "extra_info": {"tags": ["authentication", "api", "login", "credentials", "venmo", "phone"], "generalized_query": "Interact with an app's API requiring authentication after encountering login failures"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4a941ea2575341fcaf8c99e03876b78e", "memory_type": "task", "when_to_use": "When implementing complex data filtering across multiple API sources with relationship constraints", "content": "The higher-scoring approach demonstrated superior data correlation by: 1) Extracting roommate emails from contact records 2) Matching these against transaction sender/receiver emails 3) Using ISO date formatting for accurate temporal filtering. The lower approach failed to establish proper data relationships and relied on phone numbers instead of emails, which weren't present in transaction records. The successful approach also implemented defensive programming by inspecting sample transactions to validate data structure assumptions", "score": 0, "time_created": "2025-11-04 17:44:15", "time_modified": "2025-11-04 17:44:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When implementing complex data filtering across multiple API sources with relationship constraints", "category": "comparative", "created_time": "2025-11-04 17:44:15", "modified_time": "2025-11-04 17:44:15", "extra_info": {"tags": ["data-matching", "relationship-filtering", "temporal-validation", "api-pagination"], "generalized_query": "Filter and act on transactional data involving specific relationships within time windows"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "afbfd954670c472db7b229d31324f837", "memory_type": "task", "when_to_use": "When handling user-specific data updates in APIs where existing entries must be checked before creation or modification", "content": "The higher-scoring approach succeeded by: 1) Correctly identifying that 'liked songs' required using the `show_liked_songs` API rather than album-based APIs 2) Properly handling review conflicts by first retrieving existing reviews via `show_song_reviews`, filtering by user email, and using `update_song_review` when necessary 3) Implementing a robust check for existing user reviews before attempting to create new ones. The lower-scoring approach failed by incorrectly targeting album reviews instead of song reviews, and by not properly filtering reviews by the user's email when retrieving existing reviews.", "score": 0, "time_created": "2025-11-04 17:44:13", "time_modified": "2025-11-04 17:44:13", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When handling user-specific data updates in APIs where existing entries must be checked before creation or modification", "category": "comparative", "created_time": "2025-11-04 17:44:13", "modified_time": "2025-11-04 17:44:13", "extra_info": {"tags": ["rating", "review", "user-specific", "api-conflict-resolution", "pagination"], "generalized_query": "Update user-generated ratings for media items (songs/albums) in a platform where prior reviews must be checked to avoid conflicts"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5e98ab9c2e854dc6bfbbd92548d1aca8", "memory_type": "task", "when_to_use": "When paginating through API results to ensure completeness", "content": "Implement pagination loops with proper page_index incrementing and null-checking to ensure all items are retrieved. Avoid assumptions about result limits or single-page completeness.", "score": 0, "time_created": "2025-11-04 17:44:11", "time_modified": "2025-11-04 17:44:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When paginating through API results to ensure completeness", "category": "failure", "created_time": "2025-11-04 17:44:11", "modified_time": "2025-11-04 17:44:11", "extra_info": {"tags": ["pagination", "data-completeness", "loop-logic"], "generalized_query": "Retrieve all items from a paginated API endpoint to ensure comprehensive data processing."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4fdbd2358d9049d3a999c28ce3ef8825", "memory_type": "task", "when_to_use": "When authenticating to an app with stored credentials fails", "content": "Always verify authentication requirements by cross-referencing account details (e.g., phone numbers vs email) and consider cascading verification steps (e.g., 2FA) when stored credentials fail. Never assume email/password pairs will work across different app contexts.", "score": 0, "time_created": "2025-11-04 17:44:12", "time_modified": "2025-11-04 17:44:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When authenticating to an app with stored credentials fails", "category": "failure", "created_time": "2025-11-04 17:44:12", "modified_time": "2025-11-04 17:44:12", "extra_info": {"tags": ["authentication", "credentials", "phone", "login", "401", "invalid"], "generalized_query": "Attempting to access an app's API with stored credentials results in 'Invalid credentials' errors"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "759c1b9431ca4acdbaf76adab1114d42", "memory_type": "task", "when_to_use": "When processing paginated API responses with date filters", "content": "The higher-scoring approach implemented comprehensive pagination handling (while loop with page_index increment) and precise date filtering (ISO format string matching). The lower-scoring approach only fetched a fixed number of transactions without proper pagination and used datetime.now() which could produce inconsistent results across time zones.", "score": 0, "time_created": "2025-11-04 17:44:14", "time_modified": "2025-11-04 17:44:14", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When processing paginated API responses with date filters", "category": "comparative", "created_time": "2025-11-04 17:44:14", "modified_time": "2025-11-04 17:44:14", "extra_info": {"tags": ["pagination", "date_filtering", "transaction_processing", "social_feed"], "generalized_query": "Filter and process time-sensitive social media/transaction data"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6e32868f0c254dfc849170c097dfc43c", "memory_type": "task", "when_to_use": "When accessing contact information or APIs requiring authentication tokens", "content": "Always verify API existence and parameters before invocation. Ensure access tokens are properly passed in subsequent API calls after login. Define required variables (e.g., email lists) before referencing them in filtering logic.", "score": 0, "time_created": "2025-11-04 17:45:03", "time_modified": "2025-11-04 17:45:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When accessing contact information or APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 17:45:03", "modified_time": "2025-11-04 17:45:03", "extra_info": {"tags": ["api_authentication", "token_management", "contact_data", "variable_definition"], "generalized_query": "Accessing contact data or performing actions on social payment platforms requiring authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1e0ad60ac31e43029bc2c83eeac417c1", "memory_type": "task", "when_to_use": "When implementing date-based filtering for transaction data", "content": "Implemented robust date comparison logic using datetime.datetime: (1) Parsed ISO 8601 transaction dates, (2) Compared against current date and date-1 (yesterday), (3) Handled time zones implicitly through server-side timestamps. This pattern ensures accurate temporal filtering for similar transaction-based tasks.", "score": 0, "time_created": "2025-11-04 17:45:06", "time_modified": "2025-11-04 17:45:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When implementing date-based filtering for transaction data", "category": "success", "created_time": "2025-11-04 17:45:06", "modified_time": "2025-11-04 17:45:06", "extra_info": {"tags": ["date filtering", "transaction processing", "datetime handling"], "generalized_query": "Apply temporal filters to transactional data streams"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6aebfa25044448c79b8815ed7549b3b0", "memory_type": "task", "when_to_use": "When interacting with the file_system app to create directories or files", "content": "Always authenticate to the file_system app using its login API before performing file operations. Direct usage of Python's open() function is prohibited; instead, use the file_system app's create_file or update_file APIs with valid access tokens.", "score": 0, "time_created": "2025-11-04 17:45:15", "time_modified": "2025-11-04 17:45:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify.csv\" file in my file system.", "when_to_use": "When interacting with the file_system app to create directories or files", "category": "failure", "created_time": "2025-11-04 17:45:15", "modified_time": "2025-11-04 17:45:15", "extra_info": {"tags": ["file_system", "authentication", "access_token", "create_file", "CSV export"], "generalized_query": "Export data to a file in the user's file system using restricted APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "960931f64cb34375b2d8b406b58b43c1", "memory_type": "task", "when_to_use": "When ensuring data uniqueness across multiple sources", "content": "Use dictionary merging (`{**dict1, **dict2}`) with unique identifiers (e.g., `song_id`) to eliminate duplicates. For nested data (albums/playlists), resolve referenced IDs via additional API calls (e.g., `show_song`). This ensures completeness while avoiding redundant entries.", "score": 0, "time_created": "2025-11-04 17:45:16", "time_modified": "2025-11-04 17:45:16", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When ensuring data uniqueness across multiple sources", "category": "success", "created_time": "2025-11-04 17:45:16", "modified_time": "2025-11-04 17:45:16", "extra_info": {"tags": ["data deduplication", "multi-source aggregation", "unique IDs"], "generalized_query": "Aggregate and deduplicate data from multiple related endpoints (e.g., songs from libraries and playlists)."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a63ce017f89e42a98db10efc9ba816c9", "memory_type": "task", "when_to_use": "When exporting data to a file system with restricted APIs", "content": "The higher-scoring approach used the `file_system.create_file` API directly to write CSV content as a string, bypassing restricted Python libraries like `csv` and `open`. This avoided execution errors caused by invalid function usage in the lower-scoring approach. Proper API adherence and string-based CSV formatting ensured compatibility with the environment's constraints.", "score": 0, "time_created": "2025-11-04 17:45:27", "time_modified": "2025-11-04 17:45:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_songs.csv\" file in my file system.", "when_to_use": "When exporting data to a file system with restricted APIs", "category": "comparative", "created_time": "2025-11-04 17:45:27", "modified_time": "2025-11-04 17:45:27", "extra_info": {"tags": ["file system", "CSV export", "API restrictions", "data formatting"], "generalized_query": "Exporting data to a file system with API-specific constraints and restricted standard libraries"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "549229cf2d6e4db4b7db6b146e43f090", "memory_type": "task", "when_to_use": "When handling paginated API responses for comprehensive data collection", "content": "The higher-scoring approach systematically paginated through all `song_library`, `album_library`, and `playlist_library` endpoints, using a `set` to track unique song IDs. The lower-scoring approach only retrieved the first page of song data (20 items) before proceeding, missing additional entries. Efficient pagination and deduplication ensured completeness in the higher-scoring solution.", "score": 0, "time_created": "2025-11-04 17:45:27", "time_modified": "2025-11-04 17:45:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When handling paginated API responses for comprehensive data collection", "category": "comparative", "created_time": "2025-11-04 17:45:27", "modified_time": "2025-11-04 17:45:27", "extra_info": {"tags": ["pagination", "data aggregation", "uniqueness", "API traversal"], "generalized_query": "Aggregating paginated data from multiple sources while ensuring uniqueness"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1407193985fd4a158a2a5a7179fdf423", "memory_type": "task", "when_to_use": "When accessing sensitive account credentials for authentication", "content": "Used supervisor.show_account_passwords() to securely obtain service-specific passwords instead of hardcoding or storing in variables. Applied generator expression (next()+filter) for efficient credential retrieval from password list.", "score": 0, "time_created": "2025-11-04 17:45:32", "time_modified": "2025-11-04 17:45:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "My name is: Christina Harrison. My personal email is chrharrison@gmail.com and phone number is 7487401121.", "when_to_use": "When accessing sensitive account credentials for authentication", "category": "success", "created_time": "2025-11-04 17:45:32", "modified_time": "2025-11-04 17:45:32", "extra_info": {"tags": ["credential-security", "api-authentication", "supervisor-app", "sensitive-data"], "generalized_query": "Retrieve encrypted credentials from supervisor app for API authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2a23035a8f09491bb345bdeac4ec1d62", "memory_type": "task", "when_to_use": "When working with nested data structures and API pagination", "content": "Always validate API parameter names against documentation before making calls, especially when handling nested objects. Use explicit variable assignments for complex data structures to avoid syntax errors in set/dict comprehensions.", "score": 0, "time_created": "2025-11-04 17:45:20", "time_modified": "2025-11-04 17:45:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into ~/backups/spotify_library.csv file in my file system", "when_to_use": "When working with nested data structures and API pagination", "category": "failure", "created_time": "2025-11-04 17:45:20", "modified_time": "2025-11-04 17:45:20", "extra_info": {"tags": ["API parameters", "data structures", "pagination", "file export"], "generalized_query": "Exporting data from paginated APIs into structured files"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dca8840734304b8cbe27d7a91ed3c2b7", "memory_type": "task", "when_to_use": "When handling multiple authentication tokens across services", "content": "Maintain separate authentication contexts for different services and explicitly pass access tokens in API calls. Verify token validity before critical operations like account termination.", "score": 0, "time_created": "2025-11-04 17:45:20", "time_modified": "2025-11-04 17:45:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Terminate my account after this backup is complete", "when_to_use": "When handling multiple authentication tokens across services", "category": "failure", "created_time": "2025-11-04 17:45:20", "modified_time": "2025-11-04 17:45:20", "extra_info": {"tags": ["authentication", "token management", "account termination"], "generalized_query": "Performing irreversible actions after multi-service operations"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7bafdc2c45e24498805b1f70d907b536", "memory_type": "task", "when_to_use": "When aggregating data from multiple paginated API endpoints", "content": "Implemented consistent pagination pattern across `show_song_library`, `show_album_library`, and `show_playlist_library` endpoints using while loops that increment page_index until no more results. Used set-based deduplication on song IDs to ensure uniqueness before final export. This approach guarantees completeness while avoiding redundant entries, which is critical for accurate data backups", "score": 0, "time_created": "2025-11-04 17:45:26", "time_modified": "2025-11-04 17:45:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When aggregating data from multiple paginated API endpoints", "category": "success", "created_time": "2025-11-04 17:45:26", "modified_time": "2025-11-04 17:45:26", "extra_info": {"tags": ["data-aggregation", "pagination", "deduplication", "api-iteration"], "generalized_query": "Compile comprehensive dataset from multiple paginated API resources"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f26b9f209b0e46eeb820d49bf2b04904", "memory_type": "task", "when_to_use": "When creating files in protected storage systems with required authentication", "content": "Successfully handled file system authentication by first retrieving credentials via supervisor API, then using the obtained access token with file_system's create_file API. Constructed CSV content in memory by iterating through processed data, then performed atomic write with overwrite=True parameter. This ensures: 1) Secure credential handling 2) Data integrity through in-memory construction 3) Reliable storage with overwrite protection", "score": 0, "time_created": "2025-11-04 17:45:26", "time_modified": "2025-11-04 17:45:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export... into \"~/backups/spotify_library.csv\" file in my file system", "when_to_use": "When creating files in protected storage systems with required authentication", "category": "success", "created_time": "2025-11-04 17:45:26", "modified_time": "2025-11-04 17:45:26", "extra_info": {"tags": ["file-storage", "csv-generation", "authentication", "data-integrity"], "generalized_query": "Generate and store structured data files in user file systems"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "887b5a65cc90428a833fa213f72fe51b", "memory_type": "task", "when_to_use": "When retrieving user data across multiple apps with paginated APIs and authentication requirements", "content": "The higher-scoring approach systematically validated API specifications before execution, implemented robust pagination loops for contact/message retrieval, and properly managed access tokens across app contexts. The lower-scoring approach repeatedly failed due to incorrect API parameter usage, failed to handle authentication tokens, and attempted non-existent API methods. The successful approach demonstrated: 1) Rigorous API spec validation before execution 2) Proper token management between app contexts 3) Pagination implementation for large datasets 4) Data parsing refinement to extract only required fields", "score": 0, "time_created": "2025-11-04 17:46:19", "time_modified": "2025-11-04 17:46:19", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When retrieving user data across multiple apps with paginated APIs and authentication requirements", "category": "comparative", "created_time": "2025-11-04 17:46:19", "modified_time": "2025-11-04 17:46:19", "extra_info": {"tags": ["authentication", "pagination", "api-spec-validation", "cross-app-integration", "data-parsing"], "generalized_query": "Cross-app data retrieval with authentication and pagination handling"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "82ed2d3a8332414c88a3d9bc50383f08", "memory_type": "task", "when_to_use": "When dealing with nested data structures requiring content filtering", "content": "The higher-scoring approach implemented multi-stage filtering to extract only movie titles while excluding metadata (directors/genres). The lower approach included extraneous data in the final output. Key refinement strategies: 1) Initial regex-based title extraction 2) Multi-pass filtering to remove non-title entries 3) Header removal for clean output 4) Final formatting as comma-separated string. This systematic refinement ensured the output strictly met the task requirements.", "score": 0, "time_created": "2025-11-04 17:46:19", "time_modified": "2025-11-04 17:46:19", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When dealing with nested data structures requiring content filtering", "category": "comparative", "created_time": "2025-11-04 17:46:19", "modified_time": "2025-11-04 17:46:19", "extra_info": {"tags": ["data-refinement", "text-parsing", "multi-stage-filtering", "output-formatting"], "generalized_query": "Content filtering from structured text data"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "988dd378630d4dfd86ea7496987d4a9f", "memory_type": "task", "when_to_use": "When interacting with APIs that require precise authentication parameters and data extraction", "content": "The higher-scoring approach prioritized API specification validation before execution (e.g., confirming phone login requires phone number as username), implemented robust error handling for authentication failures, and used precise data extraction techniques (search_notes with tags/query filters). The lower-scoring approach made repeated authentication errors, included explanatory text in code blocks causing syntax failures, and used inefficient string parsing that retained metadata instead of clean titles.", "score": 0, "time_created": "2025-11-04 17:46:26", "time_modified": "2025-11-04 17:46:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Leslie with a list of comma-separated movie titles from my Simple Note account", "when_to_use": "When interacting with APIs that require precise authentication parameters and data extraction", "category": "comparative", "created_time": "2025-11-04 17:46:26", "modified_time": "2025-11-04 17:46:26", "extra_info": {"tags": ["API authentication", "data extraction", "error handling", "note filtering"], "generalized_query": "Retrieve and format specific data from a note-taking app via API for message response"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f58ece6e05d84625aacd9c0cb2dadec4", "memory_type": "task", "when_to_use": "When accessing APIs to retrieve or manipulate data, especially when dealing with authentication, pagination, or data parsing", "content": "The higher-scoring approach systematically validated API specifications before execution, handled authentication errors by cross-referencing credentials, and implemented robust pagination for data retrieval. It also refined movie title extraction by filtering out metadata (directors/genres) and deduplicating entries. The lower-scoring approach failed due to unvalidated API calls (e.g., using non-existent `get_contact_information`), incorrect authentication (using email instead of phone number for login), and poor data parsing that included non-title text in the final list.", "score": 0, "time_created": "2025-11-04 17:46:38", "time_modified": "2025-11-04 17:46:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Laura has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When accessing APIs to retrieve or manipulate data, especially when dealing with authentication, pagination, or data parsing", "category": "comparative", "created_time": "2025-11-04 17:46:38", "modified_time": "2025-11-04 17:46:38", "extra_info": {"tags": ["api-validation", "authentication", "data-extraction", "pagination", "sms-communication"], "generalized_query": "Extract structured data from a note-taking app and send it via SMS using contact information from a phone app"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4c083b514f584316af5428a52ffcf324", "memory_type": "task", "when_to_use": "When encountering repeated API authentication errors with no obvious resolution path", "content": "Implement exponential backoff/retry patterns for authentication attempts only if transient errors are suspected. For persistent 401 errors, prioritize escalating to user intervention or switching to alternative communication channels (e.g., email) instead of infinite retries.", "score": 0, "time_created": "2025-11-04 17:46:47", "time_modified": "2025-11-04 17:46:47", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Laura has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When encountering repeated API authentication errors with no obvious resolution path", "category": "failure", "created_time": "2025-11-04 17:46:47", "modified_time": "2025-11-04 17:46:47", "extra_info": {"tags": ["authentication retry", "error escalation", "alternative communication"], "generalized_query": "Handling persistent authentication failures in chained API workflows"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ca01a5043d043c29610f0aa54fc61d7", "memory_type": "task", "when_to_use": "When attempting to authenticate to an app with stored credentials and encountering 401 errors", "content": "Always verify credential validity before proceeding with API calls requiring authentication. When encountering 401 errors, prioritize credential refresh/retrieval rather than proceeding with assumptions about data relationships.", "score": 0, "time_created": "2025-11-04 17:46:35", "time_modified": "2025-11-04 17:46:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you!', to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When attempting to authenticate to an app with stored credentials and encountering 401 errors", "category": "failure", "created_time": "2025-11-04 17:46:35", "modified_time": "2025-11-04 17:46:35", "extra_info": {"tags": ["authentication", "credentials", "401 error", "phone app", "Venmo"], "generalized_query": "Interacting with app APIs requiring authentication when stored credentials may be invalid or expired"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cb0e883be58a42c1a2b596658e02a2c1", "memory_type": "task", "when_to_use": "When debugging API parameter mismatches in transaction actions (e.g., commenting, liking)", "content": "Resolved a 422 validation error by cross-referencing API documentation (`create_transaction_comment`) and correcting the parameter name from `comment_text` to `comment`. This emphasizes the importance of validating API parameter names against specifications before execution, especially for less commonly used endpoints.", "score": 0, "time_created": "2025-11-04 17:46:40", "time_modified": "2025-11-04 17:46:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you!', to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When debugging API parameter mismatches in transaction actions (e.g., commenting, liking)", "category": "success", "created_time": "2025-11-04 17:46:40", "modified_time": "2025-11-04 17:46:40", "extra_info": {"tags": ["api debugging", "parameter validation", "venmo", "transaction actions"], "generalized_query": "Execute transaction-level actions (comments, likes) on Venmo payments with precise parameter matching"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "545f2b1d600e4de9961dc75ca08c1c8d", "memory_type": "task", "when_to_use": "When filtering transactions based on sender relationships (e.g., 'friends') and requiring cross-app data validation (e.g., phone contacts)", "content": "The higher-scoring approach explicitly validated sender emails against phone app contacts marked as 'friend' in relationships, ensuring precision. It also handled API pagination for both Venmo transactions and phone contacts systematically. The lower-scoring approach incorrectly assumed all received payments were from friends, leading to potential over-commenting/liking. Key differentiators: 1) Cross-app validation of sender relationships 2) Rigorous date-range filtering with datetime parsing 3) Error handling for API authentication (phone app login with phone number vs. email)", "score": 0, "time_created": "2025-11-04 17:47:36", "time_modified": "2025-11-04 17:47:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thanks!', to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When filtering transactions based on sender relationships (e.g., 'friends') and requiring cross-app data validation (e.g., phone contacts)", "category": "comparative", "created_time": "2025-11-04 17:47:36", "modified_time": "2025-11-04 17:47:36", "extra_info": {"tags": ["venmo", "friend-verification", "transaction-filtering", "api-pagination", "cross-app-validation"], "generalized_query": "Process financial transactions from verified relationships within a time window using multi-app API integration"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "929dba40901f4ffebae54638d22dc099", "memory_type": "task", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "content": "The higher-scoring approach explicitly implemented pagination with a `while True` loop to fetch all recommendation pages, ensuring comprehensive data collection. The lower-scoring approach only retrieved a single page of recommendations, risking incomplete results. Proper pagination is critical when APIs return data in chunks.", "score": 0, "time_created": "2025-11-04 17:47:43", "time_modified": "2025-11-04 17:47:43", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "category": "comparative", "created_time": "2025-11-04 17:47:43", "modified_time": "2025-11-04 17:47:43", "extra_info": {"tags": ["pagination", "recommendations", "artist", "Spotify", "API"], "generalized_query": "Identify the least frequently recommended entity (e.g., artist, song) from a paginated API response"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b18c7dadd3c742b48995852837da1579", "memory_type": "task", "when_to_use": "When authenticating to access protected user data in API workflows", "content": "Used supervisor.show_account_passwords to securely retrieve credentials and spotify.login to obtain access token before making protected API calls. This pattern ensures secure credential handling while maintaining API workflow continuity.", "score": 0, "time_created": "2025-11-04 17:47:46", "time_modified": "2025-11-04 17:47:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When authenticating to access protected user data in API workflows", "category": "success", "created_time": "2025-11-04 17:47:46", "modified_time": "2025-11-04 17:47:46", "extra_info": {"tags": ["authentication", "credential management", "secure access", "API workflow"], "generalized_query": "Access user-specific data requiring authentication through password management APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3449231e0e9e4abdb8c5302d6d09ebe7", "memory_type": "task", "when_to_use": "When handling paginated or structured API responses", "content": "Implement defensive programming patterns: 1) Check for existence of nested keys before accessing them 2) Use explicit field path validation 3) Add fallback handling for unexpected structures 4) Log sample responses for structural analysis", "score": 0, "time_created": "2025-11-04 17:47:46", "time_modified": "2025-11-04 17:47:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When handling paginated or structured API responses", "category": "failure", "created_time": "2025-11-04 17:47:46", "modified_time": "2025-11-04 17:47:46", "extra_info": {"tags": ["pagination", "data_parsing", "api_response", "error_handling"], "generalized_query": "Processing paginated API results with potential nested data structures"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6a5477c41fed4ced8c083484c11d0b62", "memory_type": "task", "when_to_use": "When retrieving personalized Spotify recommendations requires paginated API calls and artist frequency analysis", "content": "The successful approach involved: (1) Using show_recommendations API with pagination handling to collect full recommendation dataset (2) Aggregating artist metadata across all recommended songs (3) Implementing a frequency counter to determine the most commonly recommended artist. This works because Spotify's recommendation endpoint returns paginated results requiring iterative collection, and artist popularity within recommendations directly correlates with user preferences.", "score": 0, "time_created": "2025-11-04 17:47:57", "time_modified": "2025-11-04 17:47:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When retrieving personalized Spotify recommendations requires paginated API calls and artist frequency analysis", "category": "success", "created_time": "2025-11-04 17:47:57", "modified_time": "2025-11-04 17:47:57", "extra_info": {"tags": ["spotify", "recommendations", "artist", "pagination", "frequency-analysis"], "generalized_query": "Identify the most frequently recommended artist from a music streaming service's personalized recommendations"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5fdbdd5d57394efeb38e65fc0548b08c", "memory_type": "task", "when_to_use": "When accessing account credentials for an app and encountering authentication failures", "content": "Always validate credentials before API calls and implement fallback mechanisms for credential recovery (e.g., password reset workflows). When resetting passwords, verify the delivery method (email/SMS) and check all potential storage locations (spam, archives, labels) for verification codes.", "score": 0, "time_created": "2025-11-04 17:47:51", "time_modified": "2025-11-04 17:47:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When accessing account credentials for an app and encountering authentication failures", "category": "failure", "created_time": "2025-11-04 17:47:51", "modified_time": "2025-11-04 17:47:51", "extra_info": {"tags": ["authentication", "credentials", "password_reset", "gmail_api", "phone_api"], "generalized_query": "Accessing app credentials or performing actions requiring authentication when credentials are invalid or expired"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b629ffe5dc2a4abfa3d1b8f6e2c5ae4a", "memory_type": "task", "when_to_use": "When parsing API responses with nested or unexpected data structures", "content": "Verify API response schema before extracting fields. Use defensive programming (e.g., .get() instead of [] access) and inspect raw response structures when encountering KeyErrors. For contact/email data, prioritize checking 'participants' lists over single 'sender' fields in thread-based APIs.", "score": 0, "time_created": "2025-11-04 17:47:51", "time_modified": "2025-11-04 17:47:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When parsing API responses with nested or unexpected data structures", "category": "failure", "created_time": "2025-11-04 17:47:51", "modified_time": "2025-11-04 17:47:51", "extra_info": {"tags": ["api_parsing", "data_structure", "gmail_api", "error_handling"], "generalized_query": "Extracting specific fields from complex API responses with nested dictionaries/lists"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "69a69f612a0347a986a5a582dadb093b", "memory_type": "task", "when_to_use": "When performing actions on multiple items (e.g., adding comments and likes) with strict API parameter requirements.", "content": "The agent iterated over filtered transactions and applied `create_transaction_comment` and `like_transaction` for each. Initial attempts failed due to incorrect parameter formatting (e.g., passing a dictionary instead of a string for the comment). The agent corrected this by aligning the `comment` parameter with the API's expected string type. This emphasizes the need to strictly follow API documentation and validate parameter types during implementation.", "score": 0, "time_created": "2025-11-04 17:48:01", "time_modified": "2025-11-04 17:48:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When performing actions on multiple items (e.g., adding comments and likes) with strict API parameter requirements.", "category": "success", "created_time": "2025-11-04 17:48:01", "modified_time": "2025-11-04 17:48:01", "extra_info": {"tags": ["batch-processing", "api-parameters", "error-resolution", "comment-creation", "liking"], "generalized_query": "Execute batch operations on API resources with strict parameter formatting requirements."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "20fcd7902b5444788e64cbf202f2f69f", "memory_type": "task", "when_to_use": "When extracting recommendations for entities like artists from song-based recommendation APIs", "content": "Prioritize using artist-specific recommendation APIs if available. When only song recommendations are accessible, aggregate artist data by weighted scoring (e.g., song popularity) rather than raw frequency of appearances across songs.", "score": 0, "time_created": "2025-11-04 17:48:33", "time_modified": "2025-11-04 17:48:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When extracting recommendations for entities like artists from song-based recommendation APIs", "category": "failure", "created_time": "2025-11-04 17:48:33", "modified_time": "2025-11-04 17:48:33", "extra_info": {"tags": ["Spotify", "recommendations", "artist", "data aggregation", "API usage"], "generalized_query": "Identify the most recommended entity (e.g., artist, genre) from a music streaming service using song-based recommendations."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c329cd7c632426d984d25c5fc9304e5", "memory_type": "task", "when_to_use": "When secure credential retrieval is needed for API authentication", "content": "Properly used the supervisor app's 'show_account_passwords' to retrieve Spotify credentials securely instead of hardcoding or guessing. This ensures up-to-date, accurate credentials while maintaining separation between authentication and business logic.", "score": 0, "time_created": "2025-11-04 17:48:38", "time_modified": "2025-11-04 17:48:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When secure credential retrieval is needed for API authentication", "category": "success", "created_time": "2025-11-04 17:48:38", "modified_time": "2025-11-04 17:48:38", "extra_info": {"tags": ["authentication", "credentials", "security", "supervisor-api"], "generalized_query": "Access account credentials for third-party service authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "235b9863b2c34d07b2e6366ce05bb328", "memory_type": "task", "when_to_use": "When needing to find the most recent item across multiple interconnected data sources (e.g., song, album, and playlist libraries) that require pagination", "content": "The successful approach involved: 1) Aggregating all song IDs from three distinct libraries (songs, albums, playlists) by paginating through each endpoint. 2) Using set operations to avoid duplicate song checks. 3) Iterating through all collected song IDs to compare release dates. This pattern works because it systematically captures all possible sources of songs while handling API pagination constraints, ensuring no data is missed.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When needing to find the most recent item across multiple interconnected data sources (e.g., song, album, and playlist libraries) that require pagination", "category": "success", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "extra_info": {"tags": ["Spotify", "song library", "album library", "playlist library", "newest release", "pagination", "data aggregation"], "generalized_query": "Identify the most recently released item across multiple nested libraries (songs, albums, playlists) in a music streaming service"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "458a5965758c4953aa90417892e36178", "memory_type": "task", "when_to_use": "When comparing timestamps across different data structures", "content": "Using string-based date comparisons (e.g., max() on date strings) without proper datetime parsing can lead to incorrect ordering. Always convert date strings to datetime objects before comparison operations.", "score": 0, "time_created": "2025-11-04 17:48:57", "time_modified": "2025-11-04 17:48:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When comparing timestamps across different data structures", "category": "failure", "created_time": "2025-11-04 17:48:57", "modified_time": "2025-11-04 17:48:57", "extra_info": {"tags": ["timestamp parsing", "datetime comparison", "data normalization", "date formatting"], "generalized_query": "Compare timestamps from heterogeneous data sources to determine chronological recency"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8c75f9f3bd3b4c1b8240f939c21a2b69", "memory_type": "task", "when_to_use": "When extracting values from nested data structures", "content": "Assuming field names will be consistent across different API responses can cause errors. Always validate field names and structure against API documentation before extracting data.", "score": 0, "time_created": "2025-11-04 17:48:57", "time_modified": "2025-11-04 17:48:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When extracting values from nested data structures", "category": "failure", "created_time": "2025-11-04 17:48:57", "modified_time": "2025-11-04 17:48:57", "extra_info": {"tags": ["API response validation", "field name consistency", "data structure verification"], "generalized_query": "Extract specific fields from complex JSON structures representing media metadata"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "99f1bc5e1bb24eee9728257cf791dbe3", "memory_type": "task", "when_to_use": "When aggregating and processing data from multiple API sources with potential type inconsistencies", "content": "Always validate and sanitize aggregated identifiers before API calls. When combining data from different endpoints (songs, albums, playlists), explicitly filter non-integer values and deduplicate IDs to avoid validation errors in downstream operations.", "score": 0, "time_created": "2025-11-04 17:48:53", "time_modified": "2025-11-04 17:48:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When aggregating and processing data from multiple API sources with potential type inconsistencies", "category": "failure", "created_time": "2025-11-04 17:48:53", "modified_time": "2025-11-04 17:48:53", "extra_info": {"tags": ["data-validation", "api-calls", "type-casting", "error-handling", "media-libraries"], "generalized_query": "Retrieving and analyzing media items across multiple library types with heterogeneous data sources"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5fff04ad767a4d59868824adb7617b3a", "memory_type": "task", "when_to_use": "When working with APIs that require access tokens for protected endpoints", "content": "Properly chained authentication flow: retrieved credentials from supervisor API → used them to obtain access token via login API → passed token in all subsequent API requests. This established secure context for accessing private user libraries while following the platform's authentication requirements.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When working with APIs that require access tokens for protected endpoints", "category": "success", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "extra_info": {"tags": ["authentication", "token-based-auth", "credential-retrieval", "api-chaining"], "generalized_query": "Access protected user data through authentication APIs before querying resource APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d31c8c47ef354ae39c70b02b762a48e5", "memory_type": "task", "when_to_use": "When retrieving song data from multiple nested sources (e.g., song libraries, albums, playlists) requiring cross-referencing of metadata like release dates", "content": "Higher-scoring approach systematically: (1) Aggregated songs from all three distinct library types using correct APIs (show_song_library, show_album, show_playlist), (2) Properly retrieved nested song data from albums/playlists via dedicated endpoints, (3) Used explicit release_date field from song metadata rather than approximating with created_at timestamps. Lower-scoring approach incorrectly treated albums/playlists as songs and misused creation dates instead of actual song release dates.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving song data from multiple nested sources (e.g., song libraries, albums, playlists) requiring cross-referencing of metadata like release dates", "category": "comparative", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "extra_info": {"tags": ["spotify", "nested-data", "release-date", "paginated-apis", "metadata"], "generalized_query": "Identify the earliest released media item across nested library structures with paginated APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b95647e9b7cb43b899cf89a8a2ac8c1b", "memory_type": "task", "when_to_use": "When combining data from multiple sources for comparison", "content": "Always verify that all data sources contribute comparable fields. When merging datasets, implement explicit null-checking and type-validation to avoid comparing incomplete or mismatched data. Process each data source separately before aggregation.", "score": 0, "time_created": "2025-11-04 17:49:05", "time_modified": "2025-11-04 17:49:05", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When combining data from multiple sources for comparison", "category": "failure", "created_time": "2025-11-04 17:49:05", "modified_time": "2025-11-04 17:49:05", "extra_info": {"tags": ["data-aggregation", "null-check", "validation", "cross-source-comparison"], "generalized_query": "Aggregate and compare data from heterogeneous sources to find maximum/minimum values"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c83b857b8c614859811d78e6959ecc9e", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication and pagination", "content": "The higher-scoring approach systematically checked API specifications, implemented proper authentication flow, and handled pagination with a while loop. This ensured complete data retrieval (23 playlists) without redundant calls. The lower-scoring approach would have failed to handle pagination and authentication edge cases.", "score": 0, "time_created": "2025-11-04 17:49:42", "time_modified": "2025-11-04 17:49:42", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When interacting with APIs that require authentication and pagination", "category": "comparative", "created_time": "2025-11-04 17:49:42", "modified_time": "2025-11-04 17:49:42", "extra_info": {"tags": ["api_authentication", "pagination", "data_retrieval"], "generalized_query": "Retrieving paginated data from an authenticated API"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fe5870b2bcb14675bfc09b2915cf21ce", "memory_type": "task", "when_to_use": "When creating payment requests requiring user email lookup", "content": "The higher-scoring approach correctly implemented a search_users step to validate Venmo emails before creating requests. The lower-scoring approach attempted invalid email formatting and failed to implement proper user lookup, leading to validation errors. This demonstrates the importance of API-compliant user verification before transaction creation.", "score": 0, "time_created": "2025-11-04 17:49:42", "time_modified": "2025-11-04 17:49:42", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Work Dinner'", "when_to_use": "When creating payment requests requiring user email lookup", "category": "comparative", "created_time": "2025-11-04 17:49:42", "modified_time": "2025-11-04 17:49:42", "extra_info": {"tags": ["user_verification", "payment_processing", "api_integration"], "generalized_query": "Cross-referencing contact information with financial transaction systems"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "24a09a389f0f4af79f5f0953f77781df", "memory_type": "task", "when_to_use": "When handling multi-step authentication and API integration for task automation", "content": "The higher-scoring approach demonstrated superior error handling by: 1) Validating API availability before execution (show_api_doc checks), 2) Correctly handling authentication failures by switching from email to phone number login, 3) Systematically parsing note content with precise string manipulation, and 4) Using the correct create_payment_request API instead of assuming APIs existed. The lower-scoring solution failed due to: 1) Assuming non-existent APIs (get_note_by_title), 2) Repeated authentication failures from incorrect credentials, 3) Failing to extract contact IDs properly, and 4) Attempting to reset passwords without completing the flow.", "score": 0, "time_created": "2025-11-04 17:49:47", "time_modified": "2025-11-04 17:49:47", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Friends Dinner'", "when_to_use": "When handling multi-step authentication and API integration for task automation", "category": "comparative", "created_time": "2025-11-04 17:49:47", "modified_time": "2025-11-04 17:49:47", "extra_info": {"tags": ["api_validation", "authentication_flow", "data_parsing", "error_handling"], "generalized_query": "Automating payment requests using contact and financial data from multiple apps"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "64b1eebe86f44fa087d66927ef0d5b39", "memory_type": "task", "when_to_use": "When handling authentication errors across apps", "content": "Systematically validate credential retrieval from supervisor.show_account_passwords before login attempts, and implement fallback strategies like password reset workflows when invalid credentials are detected", "score": 0, "time_created": "2025-11-04 17:49:53", "time_modified": "2025-11-04 17:49:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I went on a dinner with some of my friends yesterday... Make payment requests for others...", "when_to_use": "When handling authentication errors across apps", "category": "failure", "created_time": "2025-11-04 17:49:53", "modified_time": "2025-11-04 17:49:53", "extra_info": {"tags": ["authentication", "password_reset", "error_handling"], "generalized_query": "Resolve authentication failures when accessing account-sensitive APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "25c8acaa481a49078007c61224ccd679", "memory_type": "task", "when_to_use": "When interacting with APIs that require precise parameter formatting (e.g., email filtering in Venmo transactions)", "content": "The higher-scoring approach systematically validated API constraints (e.g., `user_email` must be a single email address, not a list), implemented pagination correctly, and handled authentication flows methodically. The lower-scoring approach failed due to invalid parameter formats (e.g., comma-separated emails), improper error handling, and incomplete API specification checks.", "score": 0, "time_created": "2025-11-04 17:50:02", "time_modified": "2025-11-04 17:50:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When interacting with APIs that require precise parameter formatting (e.g., email filtering in Venmo transactions)", "category": "comparative", "created_time": "2025-11-04 17:50:02", "modified_time": "2025-11-04 17:50:02", "extra_info": {"tags": ["venmo", "pagination", "api-validation", "roommate-filtering", "authentication"], "generalized_query": "Calculating monetary transfers to specific contacts via a social payment app within a date range"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bca5480818e74dc6b689e4a4630d24d8", "memory_type": "task", "when_to_use": "When integrating with payment APIs like Venmo and encountering validation errors during payment request creation", "content": "The higher-scoring approach systematically validated API parameters through documentation checks (apis.api_docs.show_api_doc) before implementation, ensuring alignment with required fields like 'user_email' and proper amount formatting. It also implemented explicit error handling for missing contacts and API parameter mismatches, whereas the lower-scoring approach repeatedly failed due to incorrect parameter assumptions (e.g., using 'to_user_id' instead of 'user_email') and unhandled validation constraints.", "score": 0, "time_created": "2025-11-04 17:49:58", "time_modified": "2025-11-04 17:49:58", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Dinner with Colleagues'", "when_to_use": "When integrating with payment APIs like Venmo and encountering validation errors during payment request creation", "category": "comparative", "created_time": "2025-11-04 17:49:58", "modified_time": "2025-11-04 17:49:58", "extra_info": {"tags": ["venmo", "payment-requests", "api-validation", "parameter-handling"], "generalized_query": "Send payment requests via third-party API with dynamic user identification and amount calculation"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e79a5b93c1bd46c48811128045256b5c", "memory_type": "task", "when_to_use": "When parsing structured data from notes for financial reconciliation", "content": "The higher-scoring approach used precise string parsing with clear header skipping (lines[1:]) and explicit currency formatting (strip().replace('$','')), while the lower-scoring approach required multiple cleanup steps (name.lstrip('- ').strip()) due to initial parsing errors. The higher approach also maintained data type integrity by converting to float immediately, preventing downstream validation issues seen in the lower approach.", "score": 0, "time_created": "2025-11-04 17:49:58", "time_modified": "2025-11-04 17:49:58", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I've made a note of individual shares in simple note", "when_to_use": "When parsing structured data from notes for financial reconciliation", "category": "comparative", "created_time": "2025-11-04 17:49:58", "modified_time": "2025-11-04 17:49:58", "extra_info": {"tags": ["note-parsing", "data-cleaning", "currency-formatting", "simple_note"], "generalized_query": "Extract numerical values from semi-structured text notes for automated financial processing"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8421a4a1bb4e46ea991a35427cd7f70f", "memory_type": "task", "when_to_use": "When retrieving account credentials from the supervisor app before using them in API calls", "content": "Always fetch account credentials (e.g., passwords) from the supervisor app before attempting to use them in API calls. Failing to initialize credential variables first will result in runtime errors.", "score": 0, "time_created": "2025-11-04 17:50:53", "time_modified": "2025-11-04 17:50:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When retrieving account credentials from the supervisor app before using them in API calls", "category": "failure", "created_time": "2025-11-04 17:50:53", "modified_time": "2025-11-04 17:50:53", "extra_info": {"tags": ["supervisor", "credentials", "authentication", "password"], "generalized_query": "Retrieving account-specific credentials for API authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d27ca8a1cc0f449a9fa1d2b53a75b93b", "memory_type": "task", "when_to_use": "When querying paginated transaction data with date filters", "content": "Implement robust pagination loops with explicit termination conditions (e.g., empty page responses) and validate date filters match API parameter requirements (YYYY-MM-DD format). Always verify the total by inspecting raw paginated responses for consistency.", "score": 0, "time_created": "2025-11-04 17:50:53", "time_modified": "2025-11-04 17:50:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When querying paginated transaction data with date filters", "category": "failure", "created_time": "2025-11-04 17:50:53", "modified_time": "2025-11-04 17:50:53", "extra_info": {"tags": ["pagination", "transactions", "date-filter", "aggregation"], "generalized_query": "Aggregating financial data from paginated API responses"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8157d1ec485d47b19a154115d1ae9f6e", "memory_type": "task", "when_to_use": "When accessing an app requires login credentials that may be outdated or incorrect", "content": "Always validate stored credentials before proceeding with dependent operations. Implement fallback mechanisms (e.g., manual input, credential refresh workflows) when automated retrieval fails.", "score": 0, "time_created": "2025-11-04 17:50:59", "time_modified": "2025-11-04 17:50:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When accessing an app requires login credentials that may be outdated or incorrect", "category": "failure", "created_time": "2025-11-04 17:50:59", "modified_time": "2025-11-04 17:50:59", "extra_info": {"tags": ["authentication", "credentials", "fallback", "manual_input"], "generalized_query": "Tasks requiring access to app data via stored credentials with potential validity issues"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "ddeeed0a8cef4748858101fd2e352e90", "memory_type": "task", "when_to_use": "When filtering transaction data based on dynamic criteria", "content": "Validate date formatting (YYYY-MM-DDTHH:MM:SS) and implement dual-direction relationship checks (sender/receiver) to ensure complete dataset coverage.", "score": 0, "time_created": "2025-11-04 17:50:59", "time_modified": "2025-11-04 17:50:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When filtering transaction data based on dynamic criteria", "category": "failure", "created_time": "2025-11-04 17:50:59", "modified_time": "2025-11-04 17:50:59", "extra_info": {"tags": ["date_filtering", "transaction_analysis", "relationship_validation"], "generalized_query": "Tasks requiring temporal and relational filtering of transactional datasets"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c5142fd9ea740378b0f8f7481de4701", "memory_type": "task", "when_to_use": "When retrieving paginated data from APIs that require full dataset aggregation", "content": "The higher-scoring approach systematically handled pagination by looping until empty results, while the lower-scoring approach truncated results by using a fixed page limit. The higher approach also correctly parsed song genres from API responses, whereas the lower approach attempted invalid field access ('genres' instead of 'genre') and failed to handle singular vs plural field names. Proper API documentation review before implementation was critical for success.", "score": 0, "time_created": "2025-11-04 17:51:04", "time_modified": "2025-11-04 17:51:04", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify.", "when_to_use": "When retrieving paginated data from APIs that require full dataset aggregation", "category": "comparative", "created_time": "2025-11-04 17:51:04", "modified_time": "2025-11-04 17:51:04", "extra_info": {"tags": ["api-pagination", "data-extraction", "genre-filtering", "artist-following"], "generalized_query": "Process paginated API results to extract nested data matching specific criteria"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2d7b8f33c4054921a5077b21c38b9490", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens and parameter validation", "content": "The agent explicitly passed the `access_token` obtained during login to subsequent API calls, ensuring authorized access. This aligns with REST API best practices and avoids authentication errors. Additionally, inspecting API specs (e.g., `show_api_doc`) before execution ensured correct parameter usage.", "score": 0, "time_created": "2025-11-04 17:51:21", "time_modified": "2025-11-04 17:51:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify", "when_to_use": "When interacting with APIs requiring authentication tokens and parameter validation", "category": "success", "created_time": "2025-11-04 17:51:21", "modified_time": "2025-11-04 17:51:21", "extra_info": {"tags": ["authentication", "access token", "api specs", "spotify", "security"], "generalized_query": "Execute API calls requiring access tokens and dynamic parameter injection"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5e7d2e903c2d408880a7217432112c7f", "memory_type": "task", "when_to_use": "When extracting genre-based metadata from music streaming APIs with paginated responses", "content": "The higher-scoring approach systematically validated API schema details (step 13-14) before processing songs, discovering the API returns 'genre' as a string rather than a list. This allowed precise filtering using case-insensitive matching (step 15). The lower-scoring approach incorrectly assumed 'genres' was a list field, leading to zero matches before premature termination.", "score": 0, "time_created": "2025-11-04 17:51:21", "time_modified": "2025-11-04 17:51:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify", "when_to_use": "When extracting genre-based metadata from music streaming APIs with paginated responses", "category": "comparative", "created_time": "2025-11-04 17:51:21", "modified_time": "2025-11-04 17:51:21", "extra_info": {"tags": ["music metadata", "genre filtering", "API schema validation", "pagination"], "generalized_query": "Extract and process genre-specific metadata from paginated music libraries"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bd86a53ff78b4342a4701d73cdbc9193", "memory_type": "task", "when_to_use": "When accessing nested or ambiguous API fields that may change structure", "content": "The higher-scoring approach demonstrated superior error resilience by: (1) Proactively verifying API response structure after failure using `show_api_doc`, (2) Correctly identifying singular 'genre' field vs. plural 'genres' list, and (3) Implementing defensive checks with `.get()` to prevent KeyErrors. The lower-scoring approach failed to adapt after initial failure and continued with invalid field assumptions.", "score": 0, "time_created": "2025-11-04 17:51:40", "time_modified": "2025-11-04 17:51:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When accessing nested or ambiguous API fields that may change structure", "category": "comparative", "created_time": "2025-11-04 17:51:40", "modified_time": "2025-11-04 17:51:40", "extra_info": {"tags": ["api-structure", "error-handling", "metadata-extraction", "paginated-apis"], "generalized_query": "Extract specific metadata (e.g., genre) from music catalog items via paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "945affd8766f4b2b99884d1d4ab2cfb9", "memory_type": "task", "when_to_use": "When performing bulk operations on unique entities across multiple API endpoints", "content": "Used set operations to collect unique artist IDs across multiple songs, then executed atomic follow operations with clear success verification. This approach minimized redundant API calls and ensured idempotent operations through deduplication, with explicit success confirmation for each action.", "score": 0, "time_created": "2025-11-04 17:51:44", "time_modified": "2025-11-04 17:51:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify.", "when_to_use": "When performing bulk operations on unique entities across multiple API endpoints", "category": "success", "created_time": "2025-11-04 17:51:44", "modified_time": "2025-11-04 17:51:44", "extra_info": {"tags": ["bulk-operations", "idempotency", "deduplication", "atomic-actions"], "generalized_query": "Execute bulk actions on deduplicated entities derived from multiple data sources"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7f3ed4e4228e494794ef9dd6a88e0078", "memory_type": "task", "when_to_use": "When processing structured text files with variable formatting to extract numerical values", "content": "Successfully implemented adaptive content parsing by first attempting direct string splitting, then debugging file content structure, and finally implementing line-by-line pattern matching. The solution first filtered files using directory_path='~/bills/electricity' and year-based substring filtering, then handled parsing errors by inspecting actual file content format and adjusting extraction logic to match 'Total Amount => $X.XX' pattern. This demonstrates the importance of combining file system navigation with flexible text parsing strategies.", "score": 0, "time_created": "2025-11-04 17:51:55", "time_modified": "2025-11-04 17:51:55", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When processing structured text files with variable formatting to extract numerical values", "category": "success", "created_time": "2025-11-04 17:51:55", "modified_time": "2025-11-04 17:51:55", "extra_info": {"tags": ["file_system", "text_parsing", "financial_data", "error_handling", "directory_search"], "generalized_query": "Calculate aggregated financial metric from text-based invoices/bills stored in a directory"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "29b82702b02f4711b73ff6bd68ba547b", "memory_type": "task", "when_to_use": "When working with API responses that return nested data structures", "content": "Always explicitly extract the content field from API responses using .get() method when dealing with nested structures to avoid type errors.", "score": 0, "time_created": "2025-11-04 17:51:56", "time_modified": "2025-11-04 17:51:56", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When working with API responses that return nested data structures", "category": "failure", "created_time": "2025-11-04 17:51:56", "modified_time": "2025-11-04 17:51:56", "extra_info": {"tags": ["api response handling", "dictionary parsing", "type errors"], "generalized_query": "Extracting specific fields from API response dictionaries"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a22dc069efb14c888118aa21a8768685", "memory_type": "task", "when_to_use": "When extracting structured data from unstructured text files with unknown formats", "content": "The higher-scoring approach demonstrated superior effectiveness by: (1) inspecting sample file content to discover the exact 'Total Amount => $72' format, (2) implementing precise string parsing with regex-like logic ('split('=>')' and '$' removal), and (3) filtering files by both '.txt' extension AND '2023-' prefix in filenames. The lower-scoring approach failed because it relied on generic keywords ('Total Cost'/'Amount Due') without validating actual file formats first.", "score": 0, "time_created": "2025-11-04 17:52:08", "time_modified": "2025-11-04 17:52:08", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my internet bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When extracting structured data from unstructured text files with unknown formats", "category": "comparative", "created_time": "2025-11-04 17:52:08", "modified_time": "2025-11-04 17:52:08", "extra_info": {"tags": ["text parsing", "file processing", "format discovery", "string extraction"], "generalized_query": "Extract numeric values from text files with inconsistent formatting patterns"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "40fec46fe9f4416db723c6339098ceba", "memory_type": "task", "when_to_use": "When calling APIs that require specific parameter names, especially after initial use", "content": "Always verify API parameter names against documentation before execution, especially when similar parameters exist (e.g., 'directory_path' vs 'file_path'). Parameter name mismatches will cause validation errors.", "score": 0, "time_created": "2025-11-04 17:52:27", "time_modified": "2025-11-04 17:52:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When calling APIs that require specific parameter names, especially after initial use", "category": "failure", "created_time": "2025-11-04 17:52:27", "modified_time": "2025-11-04 17:52:27", "extra_info": {"tags": ["file_system", "API parameters", "validation error", "parameter naming"], "generalized_query": "Extracting financial data from files in a specific directory using an API"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d3af3175d8504e19836607624781403d", "memory_type": "task", "when_to_use": "When parsing structured data from text files", "content": "Implement defensive parsing with explicit validation (e.g., 'Cable Bill' check) to avoid incorrect data inclusion. Use string splitting with fallback mechanisms for inconsistent formats.", "score": 0, "time_created": "2025-11-04 17:52:27", "time_modified": "2025-11-04 17:52:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When parsing structured data from text files", "category": "failure", "created_time": "2025-11-04 17:52:27", "modified_time": "2025-11-04 17:52:27", "extra_info": {"tags": ["data parsing", "text extraction", "defensive programming"], "generalized_query": "Extracting numerical values from semi-structured text content"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "ecd487b51bcc41ff9b895c8136144fc3", "memory_type": "task", "when_to_use": "When handling API responses with nested authentication requirements", "content": "Demonstrated effective authentication workflow: (1) Retrieve stored credentials via supervisor.show_account_passwords, (2) Use credentials to obtain access_token via app-specific login API, (3) Propagate access_token to subsequent API calls. This pattern ensures secure credential handling while maintaining session validity across operations.", "score": 0, "time_created": "2025-11-04 17:52:35", "time_modified": "2025-11-04 17:52:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When handling API responses with nested authentication requirements", "category": "success", "created_time": "2025-11-04 17:52:35", "modified_time": "2025-11-04 17:52:35", "extra_info": {"tags": ["api-authentication", "credential-management", "token-based-auth", "file-system-access"], "generalized_query": "Access protected file systems requiring multi-stage authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "da6ffe3f7e81419692653a29d6d564e3", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens and specific parameter names", "content": "Always validate API parameter names and required fields against API documentation before execution. Authentication tokens must be explicitly included in every API call that requires authorization.", "score": 0, "time_created": "2025-11-04 17:52:45", "time_modified": "2025-11-04 17:52:45", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When interacting with APIs requiring authentication tokens and specific parameter names", "category": "failure", "created_time": "2025-11-04 17:52:45", "modified_time": "2025-11-04 17:52:45", "extra_info": {"tags": ["API parameters", "authentication token", "file system", "validation error"], "generalized_query": "Organize files in a directory based on metadata using API interactions"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "eec7088106a244a2a4a16431a42b2e76", "memory_type": "task", "when_to_use": "When grouping files by temporal metadata (e.g., creation date) and relocating them to categorized subdirectories.", "content": "1. **Extract metadata programmatically**: Use `file_system.show_file()` to retrieve creation timestamps for all files. 2. **Group files logically**: Parse timestamps into a consistent format (e.g., `YYYY-MM`) and map them to predefined categories (e.g., February → Petra, March → Budapest). 3. **Ensure directory existence**: Check for target subdirectories using `directory_exists()` and create them conditionally with `create_directory()`. 4. **Use precise API parameters**: Correctly reference `source_file_path` and `destination_file_path` in `move_file()` to avoid validation failures.", "score": 0, "time_created": "2025-11-04 17:52:51", "time_modified": "2025-11-04 17:52:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations...", "when_to_use": "When grouping files by temporal metadata (e.g., creation date) and relocating them to categorized subdirectories.", "category": "success", "created_time": "2025-11-04 17:52:51", "modified_time": "2025-11-04 17:52:51", "extra_info": {"tags": ["metadata_extraction", "file_organization", "conditional_directory_creation", "timestamp_parsing"], "generalized_query": "Classify and relocate files into subdirectories based on timestamp patterns (e.g., month/year)."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "66b27c5547cb4274848f0d68d5c9a56b", "memory_type": "task", "when_to_use": "When interacting with paginated APIs requiring authentication tokens", "content": "The higher-scoring approach systematically handled API authentication, verified parameters via API docs, and implemented pagination loops to ensure complete data retrieval. It explicitly passed access tokens in every API call and validated API responses to avoid errors. The lower-scoring approach failed due to missing authentication parameters, incorrect API method usage, and incomplete filtering logic that returned empty results.", "score": 0, "time_created": "2025-11-04 17:52:50", "time_modified": "2025-11-04 17:52:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations.", "when_to_use": "When interacting with paginated APIs requiring authentication tokens", "category": "comparative", "created_time": "2025-11-04 17:52:50", "modified_time": "2025-11-04 17:52:50", "extra_info": {"tags": ["api_pagination", "authentication", "file_organization", "metadata_filtering"], "generalized_query": "Organize files in a directory based on metadata using paginated API calls with authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8f0834f6412747d99dda9729cb7cf163", "memory_type": "task", "when_to_use": "When filtering directory contents by path", "content": "Use exact path matching with directory listing APIs instead of relying on list comprehensions that may fail due to path formatting inconsistencies. Verify directory contents exist before applying filters.", "score": 0, "time_created": "2025-11-04 17:53:09", "time_modified": "2025-11-04 17:53:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When filtering directory contents by path", "category": "failure", "created_time": "2025-11-04 17:53:09", "modified_time": "2025-11-04 17:53:09", "extra_info": {"tags": ["directory_filtering", "path_validation", "file_organization"], "generalized_query": "Filtering files in a directory based on specific path patterns"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "374263a7f7dd453cb8da424b0101530d", "memory_type": "task", "when_to_use": "When encountering validation errors in API calls due to parameter naming mismatches", "content": "After receiving a 422 validation error indicating required parameters were missing, the agent successfully resolved the issue by consulting API documentation and adjusting parameter names from 'file_path' and 'destination_path' to the required 'source_file_path' and 'destination_file_path'. This demonstrates the importance of checking API specifications when encountering validation errors rather than making assumptions about parameter naming conventions.", "score": 0, "time_created": "2025-11-04 17:53:11", "time_modified": "2025-11-04 17:53:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations...", "when_to_use": "When encountering validation errors in API calls due to parameter naming mismatches", "category": "success", "created_time": "2025-11-04 17:53:11", "modified_time": "2025-11-04 17:53:11", "extra_info": {"tags": ["API debugging", "parameter validation", "error handling", "move operation"], "generalized_query": "Troubleshoot API validation errors caused by incorrect parameter naming"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "63ae720678b1448e98471d50070b0894", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens", "content": "Always explicitly include the access_token parameter in API calls after authentication. Re-authenticate if tokens expire during long workflows.", "score": 0, "time_created": "2025-11-04 17:53:12", "time_modified": "2025-11-04 17:53:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When interacting with APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 17:53:12", "modified_time": "2025-11-04 17:53:12", "extra_info": {"tags": ["authentication", "access_token", "file_system", "API", "error_401"], "generalized_query": "Organize files in a directory based on metadata (e.g., creation date)"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3b866efb22b94612a51e5a3c26b9531b", "memory_type": "task", "when_to_use": "When handling file/directory operations with potential naming conflicts", "content": "Set overwrite=True in move/copy operations when destination files might already exist. Validate source/destination paths to avoid double slashes or invalid characters.", "score": 0, "time_created": "2025-11-04 17:53:12", "time_modified": "2025-11-04 17:53:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When handling file/directory operations with potential naming conflicts", "category": "failure", "created_time": "2025-11-04 17:53:12", "modified_time": "2025-11-04 17:53:12", "extra_info": {"tags": ["file_path", "overwrite", "move_file", "error_422", "directory_conflict"], "generalized_query": "Move files between directories with possible duplicate filenames"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ba625bf62064b2f82ca204d9c38c153", "memory_type": "task", "when_to_use": "When dealing with paginated API responses or iterative file operations requiring incremental validation", "content": "The higher-scoring approach for the Spotify task used a robust pagination loop (`while page_index < 10`) with explicit checks for empty responses, ensuring all data was fetched before finalizing the result. In contrast, the lower-scoring approach for the file-organization task initially processed unfiltered directory listings, leading to redundant API calls and errors. Incremental validation (e.g., verifying directory existence before creating it) and stepwise execution (e.g., isolating directory creation before file movement) in the higher-scoring approach reduced cascading failures.", "score": 0, "time_created": "2025-11-04 17:53:21", "time_modified": "2025-11-04 17:53:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When dealing with paginated API responses or iterative file operations requiring incremental validation", "category": "comparative", "created_time": "2025-11-04 17:53:21", "modified_time": "2025-11-04 17:53:21", "extra_info": {"tags": ["pagination", "incremental_validation", "api_rate_limiting", "data_completeness"], "generalized_query": "Retrieve a complete dataset from a paginated API and perform post-processing (e.g., counting items)."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5570c2d851ac4a54baeac6602458fa12", "memory_type": "task", "when_to_use": "When handling API data with potential missing or inconsistent fields", "content": "The agent successfully handled missing `album_id` fields in song library entries by implementing a validation check (`if album_id is None: continue`) before attempting to fetch album details. This prevented API errors and ensured robust data processing. The solution demonstrates the importance of defensive programming when working with external APIs where data completeness cannot be guaranteed.", "score": 0, "time_created": "2025-11-04 17:53:39", "time_modified": "2025-11-04 17:53:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When handling API data with potential missing or inconsistent fields", "category": "success", "created_time": "2025-11-04 17:53:39", "modified_time": "2025-11-04 17:53:39", "extra_info": {"tags": ["data-validation", "api-error-handling", "missing-fields", "robustness"], "generalized_query": "Remove media items from a user's library/playlists based on metadata criteria (e.g., release date)"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6f9459ead82049c6835fe94c8ca348b8", "memory_type": "task", "when_to_use": "When processing paginated API responses for bulk operations", "content": "The agent implemented a pagination loop (`while True` with `page_index` increment) to collect all relevant items across pages before performing batch deletions. This approach ensured completeness while respecting API rate limits and page size constraints. The pattern of first gathering all IDs to remove and then executing deletions in a separate loop minimized API calls and transaction costs.", "score": 0, "time_created": "2025-11-04 17:53:39", "time_modified": "2025-11-04 17:53:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When processing paginated API responses for bulk operations", "category": "success", "created_time": "2025-11-04 17:53:39", "modified_time": "2025-11-04 17:53:39", "extra_info": {"tags": ["pagination", "batch-processing", "bulk-operations", "api-rate-limiting"], "generalized_query": "Iterate through paginated results to perform bulk modifications on user libraries/collections"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e0a553dd05084e8bb534fa633a8b8931", "memory_type": "task", "when_to_use": "When working with time-sensitive filters (e.g., release year thresholds)", "content": "Always explicitly validate date parsing logic (e.g., 'release_date' field format) against API documentation to avoid misinterpretation of temporal thresholds like 'before 2021'.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When working with time-sensitive filters (e.g., release year thresholds)", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "extra_info": {"tags": ["date parsing", "temporal filters", "API response format", "Spotify", "release year"], "generalized_query": "Ensure temporal data parsing aligns with API response formats when applying date-based filters."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "06bb464956454d03be67f6b74597d1cc", "memory_type": "task", "when_to_use": "When working with APIs that return paginated data or require metadata not directly available in initial responses", "content": "Always validate the availability of required metadata fields (e.g., 'added_at', 'release_year') in API responses before implementing filtering logic. When critical metadata is missing, consider alternative approaches like cross-referencing with other APIs or endpoints that might expose the required information.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When working with APIs that return paginated data or require metadata not directly available in initial responses", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "extra_info": {"tags": ["metadata", "api-structure", "data-validation", "filtering", "spotify"], "generalized_query": "Filter media items based on metadata fields that may not be directly available in standard API responses"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "16bc8748be8f43a4836c6a2a4fd19385", "memory_type": "task", "when_to_use": "When encountering TypeErrors related to missing or unexpected fields in API response structures", "content": "Implement defensive programming patterns: 1) Inspect API response structures before accessing nested fields 2) Use .get() with default values for optional fields 3) Add explicit null checks for critical path dependencies. This prevents cascading failures when API schemas change or fields are missing.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When encountering TypeErrors related to missing or unexpected fields in API response structures", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "extra_info": {"tags": ["error-handling", "api-debugging", "null-safety", "data-structures"], "generalized_query": "Debugging API response structures when field access fails"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f9c6ab42faa84185844d4cbeb0692a22", "memory_type": "task", "when_to_use": "When dealing with nested collection modifications requiring item validation", "content": "Implemented try-except blocks during removal operations to handle 'song not found' errors gracefully. This pattern prevented execution failures when songs were already removed or never existed in target playlists, maintaining process continuity while logging error details for debugging.", "score": 0, "time_created": "2025-11-04 17:53:57", "time_modified": "2025-11-04 17:53:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When dealing with nested collection modifications requiring item validation", "category": "success", "created_time": "2025-11-04 17:53:57", "modified_time": "2025-11-04 17:53:57", "extra_info": {"tags": ["nested-collections", "error-recovery", "validation", "spotify"], "generalized_query": "Modify items in nested collections while validating existence"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0e12490ad52344ef92949527b2674588", "memory_type": "task", "when_to_use": "When handling API authentication tokens with limited lifespans during multi-step operations", "content": "The higher-scoring approach proactively re-authenticated once when the token expired, then used the new token consistently for all subsequent operations. The lower-scoring approach repeatedly attempted operations with expired tokens (10+ failed attempts) without resolving the authentication issue, wasting resources and failing to complete the task. Effective token management and single re-authentication point proved significantly more efficient.", "score": 0, "time_created": "2025-11-04 17:54:06", "time_modified": "2025-11-04 17:54:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When handling API authentication tokens with limited lifespans during multi-step operations", "category": "comparative", "created_time": "2025-11-04 17:54:06", "modified_time": "2025-11-04 17:54:06", "extra_info": {"tags": ["spotify", "api", "token", "authentication", "pagination", "bulk-removal"], "generalized_query": "Execute bulk content removal from music platforms requiring API authentication and pagination"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "96b69b2a5a9b47d18f14f0a6c462d64a", "memory_type": "task", "when_to_use": "When processing paginated API responses for comprehensive data collection", "content": "The higher-scoring approach implemented proper pagination loops (while True with break condition) to collect complete library data before processing. The lower-scoring approach only retrieved initial pages (page_index < 10 hard-coded) potentially missing newer playlists/songs. Comprehensive data collection enabled accurate filtering and ensured no outdated content was overlooked.", "score": 0, "time_created": "2025-11-04 17:54:06", "time_modified": "2025-11-04 17:54:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When processing paginated API responses for comprehensive data collection", "category": "comparative", "created_time": "2025-11-04 17:54:06", "modified_time": "2025-11-04 17:54:06", "extra_info": {"tags": ["pagination", "data-collection", "filtering", "completeness", "spotify"], "generalized_query": "Process paginated API results for complete dataset analysis and modification"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2b9945f8649940d78008c032f5d6b8f9", "memory_type": "task", "when_to_use": "When integrating multiple APIs to solve a task requiring sequential data retrieval and conditional logic", "content": "Higher-scoring approach systematically validated API endpoints before execution (e.g., checking play_music API specs after failed play_playlist attempt). It also implemented precise duration calculation by parsing workout content with explicit hour/minute handling, while lower-scoring approach had syntax errors in comments and failed to properly parse duration fields. The higher-scoring solution demonstrated better error recovery by falling back to longest playlist when no exact match existed.", "score": 0, "time_created": "2025-11-04 17:54:31", "time_modified": "2025-11-04 17:54:31", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. The workout plan is in Simple Note.", "when_to_use": "When integrating multiple APIs to solve a task requiring sequential data retrieval and conditional logic", "category": "comparative", "created_time": "2025-11-04 17:54:31", "modified_time": "2025-11-04 17:54:31", "extra_info": {"tags": ["api_integration", "data_parsing", "error_handling", "conditional_logic"], "generalized_query": "Execute multi-step workflow involving data extraction from one service (Simple Note) to inform actions in another service (Spotify)"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3904e9a69f60453b85f984aa0b0a8203", "memory_type": "task", "when_to_use": "When retrieving paginated results from API endpoints", "content": "Implement page_index increment loop with exit condition checking empty pages. This pattern ensures full dataset collection regardless of pagination limits (default 5 items/page in this case). Works for any API with page_index parameter.", "score": 0, "time_created": "2025-11-04 17:54:36", "time_modified": "2025-11-04 17:54:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When retrieving paginated results from API endpoints", "category": "success", "created_time": "2025-11-04 17:54:36", "modified_time": "2025-11-04 17:54:36", "extra_info": {"tags": ["pagination", "data-collection", "api-iteration", "playlist-count"], "generalized_query": "Retrieve complete dataset from paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "afab1338be71405291aa3ccc31509de9", "memory_type": "task", "when_to_use": "When executing code blocks that require pure Python syntax without explanatory text", "content": "Never include natural language explanations within code blocks. Separate analysis commentary from executable code to avoid syntax errors caused by unterminated strings or invalid characters. Use print() statements for debugging instead of inline text in code blocks.", "score": 0, "time_created": "2025-11-04 17:54:38", "time_modified": "2025-11-04 17:54:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today... The workout plan is in Simple Note.", "when_to_use": "When executing code blocks that require pure Python syntax without explanatory text", "category": "failure", "created_time": "2025-11-04 17:54:38", "modified_time": "2025-11-04 17:54:38", "extra_info": {"tags": ["syntax-error", "code-formatting", "debugging"], "generalized_query": "Execute code blocks requiring strict syntax compliance"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "91e7563395bc44c9a6f52f0c5e9004f9", "memory_type": "task", "when_to_use": "When needing to retrieve data from one app and use it in another, especially when APIs are not immediately obvious", "content": "Successfully implemented a multi-step workflow: 1) Used search_notes after discovering get_note_by_title didn't exist 2) Properly handled authentication for both Simple Note and Spotify 3) Discovered and used add_to_queue + play_music combination after finding play_playlist was unavailable. Key pattern: Check API docs when encountering failures, use search/list APIs when direct access isn't possible, and maintain access tokens between steps.", "score": 0, "time_created": "2025-11-04 17:54:40", "time_modified": "2025-11-04 17:54:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When needing to retrieve data from one app and use it in another, especially when APIs are not immediately obvious", "category": "success", "created_time": "2025-11-04 17:54:40", "modified_time": "2025-11-04 17:54:40", "extra_info": {"tags": ["cross-app", "api-discovery", "authentication", "error-handling", "workflow"], "generalized_query": "Execute cross-app workflow where data from one service (e.g., note content) informs action in another (e.g., music playback)"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d78853f2f1b64fb4860a2a0921432aee", "memory_type": "task", "when_to_use": "When integrating multiple APIs to fulfill a task requiring data from different sources, such as retrieving a workout plan from a note-taking app and selecting a suitable playlist from a music streaming service.", "content": "The higher-scoring approach systematically parsed the workout duration from the note content, calculated the required playlist criteria, and leveraged Spotify's `search_playlists` API with filters (e.g., query='workout', page_limit=10) to identify suitable playlists. It prioritized playlists with ≥10 songs and sorted by like_count to ensure popularity and relevance. In contrast, the lower-scoring approach failed to extract duration_mins from playlists, made redundant login attempts, and relied on incomplete or incorrect API assumptions (e.g., missing 'duration_mins' field). The higher approach also correctly handled pagination and API constraints, while the lower one generated syntax errors and unproductive steps.", "score": 0, "time_created": "2025-11-04 17:55:07", "time_modified": "2025-11-04 17:55:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When integrating multiple APIs to fulfill a task requiring data from different sources, such as retrieving a workout plan from a note-taking app and selecting a suitable playlist from a music streaming service.", "category": "comparative", "created_time": "2025-11-04 17:55:07", "modified_time": "2025-11-04 17:55:07", "extra_info": {"tags": ["api-integration", "data-parsing", "pagination", "filtering", "error-handling"], "generalized_query": "Execute a multi-step workflow involving data extraction from one app (e.g., note-taking) and action execution in another (e.g., music streaming) based on contextual requirements."}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "121d8bf6cf1d4e21b9c5d97d9fa68c3b", "memory_type": "task", "when_to_use": "When performing data cleanup tasks requiring irreversible actions like deletion", "content": "Always verify that removal/delete APIs are explicitly called - do not rely on simulation/debug print statements alone. Ensure irreversible actions are executed only after validation and confirmation of correct filtering logic.", "score": 0, "time_created": "2025-11-04 17:55:23", "time_modified": "2025-11-04 17:55:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest.", "when_to_use": "When performing data cleanup tasks requiring irreversible actions like deletion", "category": "failure", "created_time": "2025-11-04 17:55:23", "modified_time": "2025-11-04 17:55:23", "extra_info": {"tags": ["cleanup", "removal", "api-execution", "data-validation", "irreversible-action"], "generalized_query": "Automated library cleanup based on user preferences with conditional removal criteria"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "156348b68e8b46b5b9731231269a2207", "memory_type": "task", "when_to_use": "When validating nested dependencies (e.g., albums requiring all child songs to meet criteria)", "content": "The higher-scoring approach explicitly checked each album’s song IDs against the `songs_to_keep` set, ensuring accurate determination of 'downloaded' status. The lower-scoring approach used a nested loop to verify downloaded status, which is computationally expensive for large libraries. By leveraging set operations (`all(song_id in songs_to_keep for song_id in album['song_ids'])`), the higher approach achieved O(n) complexity per album versus O(n*m) in the lower approach (where m = average songs per album). This optimization was critical for scalability.", "score": 0, "time_created": "2025-11-04 17:55:39", "time_modified": "2025-11-04 17:55:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When validating nested dependencies (e.g., albums requiring all child songs to meet criteria)", "category": "comparative", "created_time": "2025-11-04 17:55:39", "modified_time": "2025-11-04 17:55:39", "extra_info": {"tags": ["nested-validation", "complexity-reduction", "set-logic", "album-songs", "dependency-checks"], "generalized_query": "Validate parent-child relationships in datasets where parent inclusion depends on child attributes meeting criteria"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cad5caf51207490d87b7f734dc65bb8d", "memory_type": "task", "when_to_use": "When performing data cleanup tasks requiring cross-referencing multiple datasets with pagination", "content": "The higher-scoring approach achieved better performance by: 1) Pre-fetching all required datasets (library, downloads, likes) before processing to minimize API calls, 2) Using set operations for O(1) lookups when verifying song/album eligibility, and 3) Implementing proper pagination loops to ensure complete data retrieval. The lower-scoring approach suffered from redundant API calls within loops and failed to handle edge cases like missing fields in API responses, leading to KeyErrors and incomplete data processing.", "score": 0, "time_created": "2025-11-04 17:55:35", "time_modified": "2025-11-04 17:55:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked and downloaded, and remove the rest.", "when_to_use": "When performing data cleanup tasks requiring cross-referencing multiple datasets with pagination", "category": "comparative", "created_time": "2025-11-04 17:55:35", "modified_time": "2025-11-04 17:55:35", "extra_info": {"tags": ["media_library_cleanup", "api_pagination", "data_intersection", "batch_processing"], "generalized_query": "Filter user media libraries based on intersection of multiple criteria (likes/downloads) across paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bdb69d1ef96d4ad087c39b605147e61d", "memory_type": "task", "when_to_use": "When working with apps that require authentication tokens for subsequent API calls", "content": "Demonstrated secure credential handling by retrieving passwords via supervisor.show_account_passwords, then using app-specific credentials to obtain access tokens. Maintained token reuse across subsequent API calls rather than re-authenticating, following standard OAuth patterns while avoiding hardcoding sensitive information.", "score": 0, "time_created": "2025-11-04 17:55:37", "time_modified": "2025-11-04 17:55:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Task: How many playlists do I have in Spotify?", "when_to_use": "When working with apps that require authentication tokens for subsequent API calls", "category": "success", "created_time": "2025-11-04 17:55:37", "modified_time": "2025-11-04 17:55:37", "extra_info": {"tags": ["authentication", "token management", "credential security", "OAuth"], "generalized_query": "Authenticate to service APIs using stored credentials from supervisor interface"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "adad5b5486a140b08c82e816e158d0a9", "memory_type": "task", "when_to_use": "When interacting with paginated APIs or handling nested data structures with potential schema inconsistencies", "content": "The higher-scoring approach demonstrated superior error resilience by: 1) Proactively validating API response structures through test requests (step 9), 2) Implementing defensive programming with key existence checks (steps 7-8), and 3) Correctly handling pagination with dynamic page indexing. The lower-scoring approach failed due to assumptions about API structure (using 'song_ids' instead of 'id') and missing required pagination handling.", "score": 0, "time_created": "2025-11-04 17:55:46", "time_modified": "2025-11-04 17:55:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest.", "when_to_use": "When interacting with paginated APIs or handling nested data structures with potential schema inconsistencies", "category": "comparative", "created_time": "2025-11-04 17:55:46", "modified_time": "2025-11-04 17:55:46", "extra_info": {"tags": ["api-pagination", "data-structure-validation", "error-handling", "media-library-cleanup"], "generalized_query": "Filter and clean user media libraries based on engagement metrics (likes/downloads) while handling API pagination and schema variations"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8a233478d5b9451891a49a61300fc9c3", "memory_type": "task", "when_to_use": "When submitting code blocks in a multi-step execution environment", "content": "Strictly adhere to formatting requirements by submitting only syntactically valid code blocks without interspersed natural language explanations to prevent syntax errors.", "score": 0, "time_created": "2025-11-04 17:56:00", "time_modified": "2025-11-04 17:56:00", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest. An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When submitting code blocks in a multi-step execution environment", "category": "failure", "created_time": "2025-11-04 17:56:00", "modified_time": "2025-11-04 17:56:00", "extra_info": {"tags": ["code formatting", "execution environment", "syntax validation"], "generalized_query": "Executing multi-step code workflows in restricted environments"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "111222e51f56456cb75c2e8da7bbe67c", "memory_type": "task", "when_to_use": "When interacting with file_system APIs that require specific parameter names (e.g., 'directory_path')", "content": "Always verify API parameter names and required fields using `show_api_doc` before execution. Misaligned parameter names (e.g., using `source` instead of `directory_path`) cause 422 validation errors.", "score": 0, "time_created": "2025-11-04 17:56:37", "time_modified": "2025-11-04 17:56:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Compress vacation directories and delete them", "when_to_use": "When interacting with file_system APIs that require specific parameter names (e.g., 'directory_path')", "category": "failure", "created_time": "2025-11-04 17:56:37", "modified_time": "2025-11-04 17:56:37", "extra_info": {"tags": ["file_system", "compress_directory", "parameter-validation", "422-error"], "generalized_query": "Perform file system operations requiring strict API parameter validation"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e925d3cf6ea84ad397e69fc56f74b387", "memory_type": "task", "when_to_use": "When processing directory structures and extracting nested subdirectory names", "content": "The higher-scoring approach used precise string operations (`replace` and list comprehensions) to extract vacation spot names in 3 steps, while the lower-scoring approach required additional filtering steps and had an initial failure due to incorrect path matching (`~/` vs `/home/jason/`). The higher approach avoided redundant checks by directly addressing the directory structure in the API response.", "score": 0, "time_created": "2025-11-04 17:56:40", "time_modified": "2025-11-04 17:56:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The \"~/photos/\" directory ... sub-directories for each vacation spot.", "when_to_use": "When processing directory structures and extracting nested subdirectory names", "category": "comparative", "created_time": "2025-11-04 17:56:40", "modified_time": "2025-11-04 17:56:40", "extra_info": {"tags": ["directory-parsing", "string-manipulation", "data-extraction"], "generalized_query": "Extract and manipulate nested directory names from a file system API response"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b019fb7b571444bf83f877aa492e3108", "memory_type": "task", "when_to_use": "When working with file system APIs to organize and manipulate directories and files", "content": "The higher-scoring approach systematically retrieved only directory entries using `entry_type='directories'` and leveraged precise path manipulation to extract vacation spot names. The lower-scoring approach failed due to improper filtering of directory/file listings, leading to empty results and repeated failed iterations. Proper API parameter usage (e.g., `entry_type`) and structured path parsing were critical for success.", "score": 0, "time_created": "2025-11-04 17:56:22", "time_modified": "2025-11-04 17:56:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The ~/photographs/ directory in my file system has photo files organized in sub-directories for each vacation spot. Compress them and save them in ~/photographs/vacations/<vacation_spot>.zip for each vacation spot, and then delete all vacation spot sub-directories.", "when_to_use": "When working with file system APIs to organize and manipulate directories and files", "category": "comparative", "created_time": "2025-11-04 17:56:22", "modified_time": "2025-11-04 17:56:22", "extra_info": {"tags": ["file_system", "directory", "compression", "path_manipulation"], "generalized_query": "Organizing and compressing directory contents while managing file system operations"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f43d42d6f38e4fe0901cd40535933777", "memory_type": "task", "when_to_use": "When handling authentication for API interactions requiring credentials", "content": "The higher-scoring approach correctly included both username and password during login, resolving initial authentication errors. The lower-scoring approach initially omitted the username, causing validation failures. Systematic credential retrieval and immediate token reuse ensured uninterrupted workflow execution.", "score": 0, "time_created": "2025-11-04 17:56:22", "time_modified": "2025-11-04 17:56:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Using these APIs, now generate code to solve the actual task: [file system operations]", "when_to_use": "When handling authentication for API interactions requiring credentials", "category": "comparative", "created_time": "2025-11-04 17:56:22", "modified_time": "2025-11-04 17:56:22", "extra_info": {"tags": ["authentication", "api_login", "token_management"], "generalized_query": "Authenticating to a service using stored credentials and maintaining session tokens"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "53c5dec7ef6e412f95be3d023280666c", "memory_type": "task", "when_to_use": "When transforming directory structures while preserving content", "content": "Implemented two-phase operation: first compressing directories to preserve contents, then safely deleting originals. This pattern prevents data loss by ensuring compression succeeds before source deletion. Used API calls in sequence: compress_directory() followed by delete_directory() within the same iteration. The decision to separate these operations with clear success verification between steps minimized risk of irreversible data loss.", "score": 0, "time_created": "2025-11-04 17:56:48", "time_modified": "2025-11-04 17:56:48", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The \"~/photographs/\" directory in my file system has photo files organized in sub-directories for each vacation spot. Compress them and save them in \"~/photographs/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories.", "when_to_use": "When transforming directory structures while preserving content", "category": "success", "created_time": "2025-11-04 17:56:48", "modified_time": "2025-11-04 17:56:48", "extra_info": {"tags": ["data_preservation", "directory_operations", "compression", "file_system"], "generalized_query": "Content preservation through compression followed by source directory removal"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fce43ae39691420398c920d29e5561cf", "memory_type": "task", "when_to_use": "When interacting with an API that requires precise parameter alignment and directory manipulation (e.g., compressing/deleting directories)", "content": "Success was achieved by: (1) Validating API parameters via `show_api_doc` before execution to avoid errors, (2) Using `directory_path` and `compressed_file_path` parameters as specified in the API, and (3) Leveraging the `delete_directory=True` flag to atomically delete source directories after compression. The initial failure occurred due to mismatched parameter names (`source` vs. `directory_path`), highlighting the critical need to strictly follow API specifications.", "score": 0, "time_created": "2025-11-04 17:56:34", "time_modified": "2025-11-04 17:56:34", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Compress them and save them in \"~/pictures/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories", "when_to_use": "When interacting with an API that requires precise parameter alignment and directory manipulation (e.g., compressing/deleting directories)", "category": "success", "created_time": "2025-11-04 17:56:34", "modified_time": "2025-11-04 17:56:34", "extra_info": {"tags": ["file_system", "compress_directory", "API parameters", "directory deletion", "parameter validation"], "generalized_query": "Automate directory compression and deletion using a file system API with specific parameter requirements"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4d82b20dc6be4513ac138ee0debab5d2", "memory_type": "task", "when_to_use": "When retrieving credentials for multiple accounts from a supervisor API", "content": "Successfully retrieved file_system password via `supervisor.show_account_passwords()` by filtering account_name. Critical decision point: re-queried passwords after initial failure due to undefined variable, demonstrating resilience to state loss. Best practice: always validate credential retrieval before proceeding with API authentication.", "score": 0, "time_created": "2025-11-04 17:56:34", "time_modified": "2025-11-04 17:56:34", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Using these APIs, now generate code to solve the actual task", "when_to_use": "When retrieving credentials for multiple accounts from a supervisor API", "category": "success", "created_time": "2025-11-04 17:56:34", "modified_time": "2025-11-04 17:56:34", "extra_info": {"tags": ["supervisor API", "credential retrieval", "account passwords", "state management"], "generalized_query": "Securely access account credentials from a supervisor service for multi-API workflows"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5307ea71970c4d3bb64d6fefc427fc11", "memory_type": "task", "when_to_use": "When filtering data based on assumed attributes from an API response", "content": "Always verify the actual fields returned by an API before applying filters or logic dependent on those fields. Assume no additional metadata exists beyond what is documented in the API response schema.", "score": 0, "time_created": "2025-11-04 17:56:54", "time_modified": "2025-11-04 17:56:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist.", "when_to_use": "When filtering data based on assumed attributes from an API response", "category": "failure", "created_time": "2025-11-04 17:56:54", "modified_time": "2025-11-04 17:56:54", "extra_info": {"tags": ["api_response_validation", "data_filtering", "schema_analysis"], "generalized_query": "Filtering API results using fields not explicitly present in the response schema"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e7d388b5dc8547b791771bd1bbf8dcbd", "memory_type": "task", "when_to_use": "When creating/caching access tokens for multi-step authenticated operations", "content": "Higher-scoring approach re-authenticated after potential token expiration during long-running operations, explicitly passing access_token in all required API calls. Lower-scoring approach failed to maintain valid authentication context for add_song_to_playlist. Key optimization: Implement token refresh/reuse patterns for extended workflows.", "score": 0, "time_created": "2025-11-04 17:56:56", "time_modified": "2025-11-04 17:56:56", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist", "when_to_use": "When creating/caching access tokens for multi-step authenticated operations", "category": "comparative", "created_time": "2025-11-04 17:56:56", "modified_time": "2025-11-04 17:56:56", "extra_info": {"tags": ["auth-management", "token-refresh", "api-calls", "workflow-continuity"], "generalized_query": "Execute multi-stage authenticated API workflows requiring persistent session management"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e19f361bbaaa43d384d5d0d55c1ab613", "memory_type": "task", "when_to_use": "When interacting with APIs to perform batch operations like liking songs", "content": "Always verify API availability using `api_docs` before calling endpoints. For batch operations, implement error handling to skip already-processed items instead of failing entirely.", "score": 0, "time_created": "2025-11-04 17:57:37", "time_modified": "2025-11-04 17:57:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs to perform batch operations like liking songs", "category": "failure", "created_time": "2025-11-04 17:57:37", "modified_time": "2025-11-04 17:57:37", "extra_info": {"tags": ["API documentation", "error handling", "batch processing", "duplicate prevention"], "generalized_query": "Perform batch actions on items in a music player queue while handling potential duplicates or errors"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cc486e5a3b774475ab530af218fe5832", "memory_type": "task", "when_to_use": "When retrieving user-specific data from paginated APIs", "content": "Always include access tokens in API requests after authentication. Verify pagination parameters (page_index/page_limit) to ensure complete data retrieval.", "score": 0, "time_created": "2025-11-04 17:57:37", "time_modified": "2025-11-04 17:57:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When retrieving user-specific data from paginated APIs", "category": "failure", "created_time": "2025-11-04 17:57:37", "modified_time": "2025-11-04 17:57:37", "extra_info": {"tags": ["pagination", "authentication", "access token", "data retrieval"], "generalized_query": "Access paginated resources requiring access tokens after authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "93921bc6b3ee45639bdeb218d2fe7bf1", "memory_type": "task", "when_to_use": "When filtering songs by genre and release year requires retrieving additional metadata not present in initial recommendations", "content": "The higher-scoring approach recognized missing metadata (genre/release date) in initial recommendations and implemented a two-step process: (1) first retrieve basic recommendations, then (2) fetch detailed metadata for each song using show_song API. This enabled accurate R&B genre filtering and year-based selection. The lower-scoring approach incorrectly assumed artist names indicated genre and misused album IDs for temporal filtering, resulting in zero valid songs.", "score": 0, "time_created": "2025-11-04 17:57:32", "time_modified": "2025-11-04 17:57:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new 'Spotify R&B Recommendations' playlist", "when_to_use": "When filtering songs by genre and release year requires retrieving additional metadata not present in initial recommendations", "category": "comparative", "created_time": "2025-11-04 17:57:32", "modified_time": "2025-11-04 17:57:32", "extra_info": {"tags": ["music filtering", "metadata retrieval", "genre classification", "release date filtering"], "generalized_query": "Filter music recommendations by genre and temporal release criteria"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8fc061a367114db196883b3c0f2fd1c1", "memory_type": "task", "when_to_use": "When submitting code blocks to the execution environment", "content": "Strictly separate executable code from natural language explanations in code blocks. Any human-readable commentary must be excluded from code submission blocks to avoid syntax errors. Use proper Python syntax for all operations including API calls and data processing.", "score": 0, "time_created": "2025-11-04 17:57:38", "time_modified": "2025-11-04 17:57:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new 'Spotify R&B Recommendations' playlist.", "when_to_use": "When submitting code blocks to the execution environment", "category": "failure", "created_time": "2025-11-04 17:57:38", "modified_time": "2025-11-04 17:57:38", "extra_info": {"tags": ["code-submission", "syntax-validation", "environment-constraints"], "generalized_query": "Executing multi-step code in constrained environments"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7fb3246e410d4c239a67dc8a0fc3ed5e", "memory_type": "task", "when_to_use": "When filtering songs by genre and release year in Spotify", "content": "The higher-scoring approach correctly identified that the `search_songs` API (not `show_recommendations`) provides necessary metadata like `genre` and `release_date`. It validated the API response structure before filtering, while the lower-scoring approach assumed unavailable fields existed in the recommendations endpoint. Using precise query parameters (`genre:r&b year:2023`) and handling pagination ensured complete data retrieval.", "score": 0, "time_created": "2025-11-04 17:57:39", "time_modified": "2025-11-04 17:57:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new 'R&B Recommendation' playlist.", "when_to_use": "When filtering songs by genre and release year in Spotify", "category": "comparative", "created_time": "2025-11-04 17:57:39", "modified_time": "2025-11-04 17:57:39", "extra_info": {"tags": ["spotify", "genre-filtering", "api-metadata", "query-parameters", "data-validation"], "generalized_query": "Filter music data by genre and temporal metadata using API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "52fe3f2537234b6491d3a5834edcab8d", "memory_type": "task", "when_to_use": "When attempting to use an API method that is not explicitly listed in the API documentation", "content": "Always verify API method existence and parameters via show_api_doc() before attempting to call it. Do not assume APIs exist based on logical inference alone.", "score": 0, "time_created": "2025-11-04 17:57:41", "time_modified": "2025-11-04 17:57:41", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new 'R&B Recommendation' playlist.", "when_to_use": "When attempting to use an API method that is not explicitly listed in the API documentation", "category": "failure", "created_time": "2025-11-04 17:57:41", "modified_time": "2025-11-04 17:57:41", "extra_info": {"tags": ["api-method-missing", "documentation-check", "parameter-verification"], "generalized_query": "Add genre-specific songs from a specific time period to a new playlist in a music streaming service"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5d2759c502a947e9891b961268026444", "memory_type": "task", "when_to_use": "When handling API operations that may fail due to pre-existing conditions (e.g., duplicate likes) or require conditional filtering", "content": "The higher-scoring approach implemented two critical optimizations: 1) Proactive conflict resolution by checking existing liked songs before attempting new likes, avoiding 422 errors through pre-filtering 2) Robust error handling with try-except blocks to maintain workflow continuity. The lower-scoring approach failed to: 1) Verify existing likes, causing redundant API calls 2) Misinterpret queue state flags (is_current/is_playing) leading to empty results 3) Implement any error recovery mechanism, causing complete task failure on first exception", "score": 0, "time_created": "2025-11-04 17:57:55", "time_modified": "2025-11-04 17:57:55", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When handling API operations that may fail due to pre-existing conditions (e.g., duplicate likes) or require conditional filtering", "category": "comparative", "created_time": "2025-11-04 17:57:55", "modified_time": "2025-11-04 17:57:55", "extra_info": {"tags": ["api-optimization", "error-handling", "state-validation", "batch-processing", "spotify"], "generalized_query": "Execute batch actions on dynamic datasets with potential pre-existing state conflicts"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c31698e0b1664b90aa324034b1218b34", "memory_type": "task", "when_to_use": "When working with dynamic data that may change between API calls", "content": "Always re-fetch the latest state of data before performing operations to avoid working with stale information. Use real-time data retrieval rather than relying on cached results from previous API calls.", "score": 0, "time_created": "2025-11-04 17:58:08", "time_modified": "2025-11-04 17:58:08", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When working with dynamic data that may change between API calls", "category": "failure", "created_time": "2025-11-04 17:58:08", "modified_time": "2025-11-04 17:58:08", "extra_info": {"tags": ["data-freshness", "real-time-updates", "stale-data-prevention", "music-queue", "state-synchronization"], "generalized_query": "Process a collection of items that may be modified during execution"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bb3d655c814c470ea5590fea44b0b462", "memory_type": "task", "when_to_use": "When interacting with APIs that return paginated data or require sequential steps", "content": "The higher-scoring approach systematically validated API endpoints before execution (e.g., checking `show_playlist_library` parameters) and implemented explicit pagination handling. It also separated current song processing from bulk operations, ensuring completeness. The lower-scoring approach failed initially due to incorrect API name assumption (`show_music_player_queue` vs actual `show_song_queue`), requiring backtracking and error correction.", "score": 0, "time_created": "2025-11-04 17:58:41", "time_modified": "2025-11-04 17:58:41", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs that return paginated data or require sequential steps", "category": "comparative", "created_time": "2025-11-04 17:58:41", "modified_time": "2025-11-04 17:58:41", "extra_info": {"tags": ["api-validation", "pagination", "sequential-workflow", "error-prevention"], "generalized_query": "Execute multi-step API workflows requiring sequential data retrieval and conditional processing"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "39b7b416b54544718ea360d71b53da3b", "memory_type": "task", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "content": "The higher-scoring approach efficiently retrieved all pages of sent payment requests by iterating with `page_index` until no more results were returned. The lower-scoring approach failed to implement proper pagination, leading to incomplete data retrieval and incorrect assumptions about payment requests.", "score": 0, "time_created": "2025-11-04 17:58:36", "time_modified": "2025-11-04 17:58:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "category": "comparative", "created_time": "2025-11-04 17:58:36", "modified_time": "2025-11-04 17:58:36", "extra_info": {"tags": ["venmo", "pagination", "payment", "api", "data-retrieval"], "generalized_query": "Retrieve and process paginated transaction data to identify and reverse an accidental payment"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "115e3e7c2a5f4738838003fc63a9b21e", "memory_type": "task", "when_to_use": "When securely retrieving account credentials for API authentication", "content": "Use the supervisor app's show_account_passwords method to retrieve stored credentials, then pass them to the target app's login API. This ensures secure credential handling without hardcoding sensitive information.", "score": 0, "time_created": "2025-11-04 17:58:38", "time_modified": "2025-11-04 17:58:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When securely retrieving account credentials for API authentication", "category": "success", "created_time": "2025-11-04 17:58:38", "modified_time": "2025-11-04 17:58:38", "extra_info": {"tags": ["authentication", "credential-retrieval", "supervisor", "security"], "generalized_query": "Authenticate to an app using credentials stored in a supervisor account management system"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f427d4a1b0b349d694954b873767bfe9", "memory_type": "task", "when_to_use": "When encountering API errors during Venmo transaction creation", "content": "Immediately consult Venmo API specifications for create_transaction to confirm required parameters (e.g., 'receiver_email' vs 'target_user_email'). Use API documentation to verify if phone number-based transactions are supported before implementation.", "score": 0, "time_created": "2025-11-04 17:58:40", "time_modified": "2025-11-04 17:58:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When encountering API errors during Venmo transaction creation", "category": "failure", "created_time": "2025-11-04 17:58:40", "modified_time": "2025-11-04 17:58:40", "extra_info": {"tags": ["api_debugging", "venmo", "parameter_validation", "transaction_errors"], "generalized_query": "Troubleshoot failed Venmo API transactions due to invalid parameters or missing recipients"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f67322df90824a9a956e4ff6bf11c7a0", "memory_type": "task", "when_to_use": "When retrieving payment requests and needing to handle dynamic user identifiers or API schema discrepancies", "content": "Higher-scoring approach resolved email mismatch by actively searching for 'Robert' via Venmo's search_users API when the initial email failed. They also corrected API schema misunderstanding by switching from 'status' to 'approved_at' field after error. Lower-scoring approach incorrectly used phone app contacts (unrelated API) and maintained invalid 'status' filtering assumption.", "score": 0, "time_created": "2025-11-04 17:58:37", "time_modified": "2025-11-04 17:58:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Robert was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving payment requests and needing to handle dynamic user identifiers or API schema discrepancies", "category": "comparative", "created_time": "2025-11-04 17:58:37", "modified_time": "2025-11-04 17:58:37", "extra_info": {"tags": ["venmo", "payment_refund", "api_schema", "user_search", "error_handling"], "generalized_query": "Refund accidental payment to a user with potentially ambiguous identifier"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4a63c5224eab4ca6b977beffe174446a", "memory_type": "task", "when_to_use": "When retrieving user-specific payment details from paginated API responses", "content": "The higher-scoring approach systematically retrieved all approved Venmo payments using pagination (looping through `page_index`), filtered by recipient email, and selected the most recent transaction. This ensured accurate identification of the accidental payment. The lower-scoring approach hardcoded a refund amount and relied on a Venmo user search without verifying payment history, increasing error risk.", "score": 0, "time_created": "2025-11-04 17:59:09", "time_modified": "2025-11-04 17:59:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Brandon was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving user-specific payment details from paginated API responses", "category": "comparative", "created_time": "2025-11-04 17:59:09", "modified_time": "2025-11-04 17:59:09", "extra_info": {"tags": ["venmo", "pagination", "payment verification", "transaction history"], "generalized_query": "Refund a specific accidental payment to a user via a paginated transaction history API"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4f4b6f6f8f7a4b57b7b75590c34da9d2", "memory_type": "task", "when_to_use": "When retrieving access tokens for API authentication", "content": "Always explicitly store and validate API access tokens immediately after authentication to avoid NameError exceptions when subsequent API calls require them", "score": 0, "time_created": "2025-11-04 17:59:11", "time_modified": "2025-11-04 17:59:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Brandon was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving access tokens for API authentication", "category": "failure", "created_time": "2025-11-04 17:59:11", "modified_time": "2025-11-04 17:59:11", "extra_info": {"tags": ["authentication", "access_token", "NameError", "Venmo", "payment_request"], "generalized_query": "Returning funds from an accidental payment request to a specific recipient"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "12de2a271450492eb73199b03088b73f", "memory_type": "task", "when_to_use": "When encountering authentication failures due to invalid credentials or password reset issues", "content": "Stored credentials may become invalid over time; always validate credentials before critical API calls. When password reset is required, prioritize APIs that allow programmatic code retrieval (if available) instead of manual input. Repeatedly attempting login with invalid credentials wastes resources and risks account lockout.", "score": 0, "time_created": "2025-11-04 17:59:43", "time_modified": "2025-11-04 17:59:43", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When encountering authentication failures due to invalid credentials or password reset issues", "category": "failure", "created_time": "2025-11-04 17:59:43", "modified_time": "2025-11-04 17:59:43", "extra_info": {"tags": ["authentication", "password_reset", "credential_validation", "api_failure"], "generalized_query": "Deleting messages from a specific contact requiring app authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c5ce8884fdc2467e84c9b68149be12cd", "memory_type": "task", "when_to_use": "When deleting messages from a specific contact across multiple message types", "content": "Implement a two-phase deletion strategy: 1) First paginate through all text messages using search_text_messages() with phone_number filter, collecting IDs. 2) Repeat for voice messages using search_voice_messages(). 3) Execute deletion for each message type in separate loops. This ensures comprehensive coverage while maintaining clear error isolation between message types.", "score": 0, "time_created": "2025-11-04 17:59:44", "time_modified": "2025-11-04 17:59:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When deleting messages from a specific contact across multiple message types", "category": "success", "created_time": "2025-11-04 17:59:44", "modified_time": "2025-11-04 17:59:44", "extra_info": {"tags": ["message-deletion", "pagination", "phone", "spam", "bulk-operations"], "generalized_query": "Delete all messages (text/voice) from a specific phone number"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "db743a97fe884ee2a4283c3b31629953", "memory_type": "task", "when_to_use": "When encountering persistent authentication failures during API login attempts", "content": "Repeated password reset code failures indicate the need to validate the reset flow and ensure code validity before attempting login. Hardcoding guesswork for reset codes leads to cascading failures.", "score": 0, "time_created": "2025-11-04 17:59:39", "time_modified": "2025-11-04 17:59:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When encountering persistent authentication failures during API login attempts", "category": "failure", "created_time": "2025-11-04 17:59:39", "modified_time": "2025-11-04 17:59:39", "extra_info": {"tags": ["authentication", "password_reset", "login_failure", "api_credentials"], "generalized_query": "Deleting messages from a specific phone number requires authenticated API access"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4652f181065b4e17a7bf8436db9a980e", "memory_type": "task", "when_to_use": "When handling paginated API responses for message deletion", "content": "Always ensure access_token is properly defined and scoped before implementing pagination loops. Missing token definitions cause execution halting errors.", "score": 0, "time_created": "2025-11-04 17:59:39", "time_modified": "2025-11-04 17:59:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When handling paginated API responses for message deletion", "category": "failure", "created_time": "2025-11-04 17:59:39", "modified_time": "2025-11-04 17:59:39", "extra_info": {"tags": ["pagination", "access_token", "message_deletion", "api_call"], "generalized_query": "Processing paginated results for bulk message deletion operations"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "27b43762c4374695a7d4404c3ead242e", "memory_type": "task", "when_to_use": "When handling authentication failures and paginated data retrieval in API-based tasks", "content": "The higher-scoring approach systematically resolved authentication issues by rechecking API specifications (discovering the username required the phone number, not email), while the lower-scoring approach relied on incorrect assumptions (email as username) and failed to handle pagination for both text and voice messages. The higher approach also explicitly looped through all pages for both message types, ensuring complete deletion, whereas the lower approach attempted to simulate results without valid authentication tokens, leading to partial failure.", "score": 0, "time_created": "2025-11-04 17:59:51", "time_modified": "2025-11-04 17:59:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When handling authentication failures and paginated data retrieval in API-based tasks", "category": "comparative", "created_time": "2025-11-04 17:59:51", "modified_time": "2025-11-04 17:59:51", "extra_info": {"tags": ["authentication", "pagination", "phone", "messages", "api"], "generalized_query": "Delete all messages (text/voice) from a specified phone number using API authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "72f9ce5839494258a32c43a858d5425d", "memory_type": "task", "when_to_use": "When handling password reset flows in non-interactive environments", "content": "Design password reset workflows to avoid reliance on manual input functions. Use automated verification mechanisms (e.g., pre-shared codes, API-based token exchange) instead of input() calls which are explicitly disallowed in this environment.", "score": 0, "time_created": "2025-11-04 17:59:53", "time_modified": "2025-11-04 17:59:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When handling password reset flows in non-interactive environments", "category": "failure", "created_time": "2025-11-04 17:59:53", "modified_time": "2025-11-04 17:59:53", "extra_info": {"tags": ["password_reset", "non_interactive", "input", "security"], "generalized_query": "Reset account passwords programmatically without user input"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "069d679022cb42ac9663442a4d121b16", "memory_type": "task", "when_to_use": "When querying music streaming platforms for genre-specific artists with follower thresholds", "content": "Always validate API response structures and data types before filtering. Verify genre query syntax matches platform-specific conventions and ensure numeric comparisons are performed on properly typed values.", "score": 0, "time_created": "2025-11-04 18:00:33", "time_modified": "2025-11-04 18:00:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When querying music streaming platforms for genre-specific artists with follower thresholds", "category": "failure", "created_time": "2025-11-04 18:00:33", "modified_time": "2025-11-04 18:00:33", "extra_info": {"tags": ["Spotify", "artist search", "genre query", "follower count", "API validation"], "generalized_query": "Follow artists on music platforms matching specific genres and minimum follower counts"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d20078e6d11b46c9abb8b0c5424c0c7d", "memory_type": "task", "when_to_use": "When implementing pagination for API requests", "content": "Implement error handling for empty pages and verify pagination parameters against API documentation constraints. Test with explicit page limits before full execution.", "score": 0, "time_created": "2025-11-04 18:00:33", "time_modified": "2025-11-04 18:00:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When implementing pagination for API requests", "category": "failure", "created_time": "2025-11-04 18:00:33", "modified_time": "2025-11-04 18:00:33", "extra_info": {"tags": ["pagination", "page_index", "API constraints", "data retrieval"], "generalized_query": "Retrieve complete dataset from paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f6b285fe06f14233891e126d9b5995ce", "memory_type": "task", "when_to_use": "When requiring secure access to user credentials for authentication", "content": "Properly retrieved Spotify password from supervisor.show_account_passwords() using list comprehension to extract the specific account. This demonstrates secure credential handling by: 1) Using platform-provided credential storage 2) Avoiding hardcoding sensitive data 3) Immediately applying credentials to authentication flow", "score": 0, "time_created": "2025-11-04 18:00:37", "time_modified": "2025-11-04 18:00:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When requiring secure access to user credentials for authentication", "category": "success", "created_time": "2025-11-04 18:00:37", "modified_time": "2025-11-04 18:00:37", "extra_info": {"tags": ["authentication", "credential-security", "supervisor-api", "token-based-auth"], "generalized_query": "Authenticate to music platforms using supervisor-managed credentials"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "335c17476dd14c99b57ff7bb523323fa", "memory_type": "task", "when_to_use": "When querying APIs that require precise parameter configuration for filtering (e.g., min_follower_count, genre filters)", "content": "The higher-scoring approach explicitly used the `min_follower_count=22` and `genre='classical'` parameters in the `search_artists` API, ensuring accurate filtering at the API level. The lower-scoring approach relied on post-retrieval filtering (`if artist.get('follower_count', 0) >= 22`), which is less efficient and error-prone due to incomplete data fetching. Additionally, the higher approach correctly used the `genre` parameter instead of embedding genre in the query string (`query='genre:classical'`), aligning with the API's documented parameter structure.", "score": 0, "time_created": "2025-11-04 18:00:13", "time_modified": "2025-11-04 18:00:13", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers", "when_to_use": "When querying APIs that require precise parameter configuration for filtering (e.g., min_follower_count, genre filters)", "category": "comparative", "created_time": "2025-11-04 18:00:13", "modified_time": "2025-11-04 18:00:13", "extra_info": {"tags": ["API parameters", "filtering", "pagination", "Spotify", "genre"], "generalized_query": "Filter and act on entities in a music platform based on genre and popularity metrics"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "99948ec5c92f401f8eafeb4c478cbb69", "memory_type": "task", "when_to_use": "When interacting with APIs for file access, authentication, or payment requests", "content": "Always validate API existence and parameters via documentation before execution. Use access tokens for authenticated API calls. Handle file paths dynamically by inspecting directory structures when direct access fails. For payment systems, ensure recipient identifiers (email/ID) align with API requirements.", "score": 0, "time_created": "2025-11-04 18:00:53", "time_modified": "2025-11-04 18:00:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I paid for our last month's electricity bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, 'For electricity bill.'. The bill receipt is in my file system.", "when_to_use": "When interacting with APIs for file access, authentication, or payment requests", "category": "failure", "created_time": "2025-11-04 18:00:53", "modified_time": "2025-11-04 18:00:53", "extra_info": {"tags": ["file-access", "api-authentication", "payment-requests", "parameter-validation"], "generalized_query": "Accessing files, authenticating accounts, and initiating payment requests across multiple apps"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "15718e6315b64b398d663a7e6d9f9f9b", "memory_type": "task", "when_to_use": "When parsing structured data from file contents", "content": "The higher-scoring approach directly parsed the `content` field using string splitting after confirming the file structure, while the lower-scoring approach required multiple directory scans and error-prone assumptions about file naming. Proper use of `show_file` output structure avoided redundant searches.", "score": 0, "time_created": "2025-11-04 18:00:59", "time_modified": "2025-11-04 18:00:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The bill receipt is in my file system.", "when_to_use": "When parsing structured data from file contents", "category": "comparative", "created_time": "2025-11-04 18:00:59", "modified_time": "2025-11-04 18:00:59", "extra_info": {"tags": ["data-extraction", "file-parsing", "string-manipulation"], "generalized_query": "Extract specific numerical values from semi-structured text files"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e772328c6d914564850d30ed55704a07", "memory_type": "task", "when_to_use": "When performing paginated API searches with specific filters", "content": "The higher-scoring approach explicitly specified both `genre='EDM'` and `min_follower_count=23` parameters in the search_artists API call, ensuring precise filtering. It also implemented robust pagination by incrementing `page_index` until no results remained. The lower-scoring approach omitted the genre parameter, potentially returning irrelevant artists, and used a fixed page limit without verifying completeness. The higher approach's use of `sort_by='+follower_count'` further optimized result ordering for efficiency.", "score": 0, "time_created": "2025-11-04 18:00:45", "time_modified": "2025-11-04 18:00:45", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When performing paginated API searches with specific filters", "category": "comparative", "created_time": "2025-11-04 18:00:45", "modified_time": "2025-11-04 18:00:45", "extra_info": {"tags": ["api_search", "pagination", "filtering", "edm", "follower_count"], "generalized_query": "Follow artists in a specific genre with minimum follower thresholds using paginated API results"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "251bb6ef7ec64d8ea2b2de107aa361ab", "memory_type": "task", "when_to_use": "When authentication is required to access protected APIs and perform user actions", "content": "The agent retrieved the supervisor's Spotify password, authenticated via the `login` API, and reused the access token for subsequent requests. Storing the access token in a variable ensured seamless authentication across multiple API calls.", "score": 0, "time_created": "2025-11-04 18:00:49", "time_modified": "2025-11-04 18:00:49", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When authentication is required to access protected APIs and perform user actions", "category": "success", "created_time": "2025-11-04 18:00:49", "modified_time": "2025-11-04 18:00:49", "extra_info": {"tags": ["authentication", "access-token", "api-security", "credential-management"], "generalized_query": "Authenticate to a service to execute user actions (e.g., follow, subscribe) via API"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "33ebc337231e44a29a8efa77f188c7d5", "memory_type": "task", "when_to_use": "When processing API responses that require sequential state verification", "content": "Always verify the pre-condition state (e.g., 'already following') before performing irreversible actions. Implement idempotent checks with retry logic for transient API failures in state verification operations.", "score": 0, "time_created": "2025-11-04 18:01:07", "time_modified": "2025-11-04 18:01:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers", "when_to_use": "When processing API responses that require sequential state verification", "category": "failure", "created_time": "2025-11-04 18:01:07", "modified_time": "2025-11-04 18:01:07", "extra_info": {"tags": ["state-verification", "idempotent-operations", "transient-failures", "follow-logic"], "generalized_query": "Perform conditional actions based on user-state relationships (e.g., following status)"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dfb3501f0293445aa62180f4cfc4dea8", "memory_type": "task", "when_to_use": "When interacting with APIs that require precise parameter matching, especially when dealing with user identification and payment requests", "content": "The higher-scoring approach demonstrated superior effectiveness by: 1) Correctly identifying and using the 'user_email' parameter in Venmo's create_payment_request API as required by the specification, avoiding validation errors that plagued the lower-scoring attempt. 2) Properly calculating the split amount by including the user in the division (len(roommates)+1), while the lower-scoring approach omitted this critical detail. 3) Implementing robust error handling by first verifying API parameters through documentation review before execution.", "score": 0, "time_created": "2025-11-04 18:01:23", "time_modified": "2025-11-04 18:01:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make venmo requests to my roommates, with a description note, 'internet bill for the last month.'", "when_to_use": "When interacting with APIs that require precise parameter matching, especially when dealing with user identification and payment requests", "category": "comparative", "created_time": "2025-11-04 18:01:23", "modified_time": "2025-11-04 18:01:23", "extra_info": {"tags": ["venmo", "payment-requests", "api-parameters", "user-identification", "bill-splitting"], "generalized_query": "Send payment requests via Venmo to specified recipients using their email addresses with accurate amount calculation"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "84734d7fd8ae43f7b746691e3583acf3", "memory_type": "task", "when_to_use": "When retrieving and processing bill information from file systems with potential naming inconsistencies", "content": "The higher-scoring approach achieved better results by: 1) Systematically searching for the most recent bill file using timestamp-based filtering rather than relying on hardcoded filenames. 2) Implementing proper file existence checks and directory traversal logic to handle potential naming variations. 3) Using precise string parsing to extract the total amount value, whereas the lower-scoring approach made multiple failed attempts with hardcoded file paths before succeeding.", "score": 0, "time_created": "2025-11-04 18:01:23", "time_modified": "2025-11-04 18:01:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The bill receipt is in my file system", "when_to_use": "When retrieving and processing bill information from file systems with potential naming inconsistencies", "category": "comparative", "created_time": "2025-11-04 18:01:23", "modified_time": "2025-11-04 18:01:23", "extra_info": {"tags": ["file-system", "data-extraction", "bill-parsing", "directory-traversal"], "generalized_query": "Extract numerical values from structured text documents stored in hierarchical file systems"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c023ca5c45fc4bc78ed3c1468805b1dc", "memory_type": "task", "when_to_use": "When authenticating to apps with supervisor credentials", "content": "Use supervisor.show_account_passwords() to retrieve valid credentials instead of hardcoding or guessing passwords. The initial failure to login to file_system was resolved by properly retrieving the password from supervisor instead of using outdated dummy credentials.", "score": 0, "time_created": "2025-11-04 18:01:32", "time_modified": "2025-11-04 18:01:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am your supervisor and you are a super intelligent AI Assistant...", "when_to_use": "When authenticating to apps with supervisor credentials", "category": "failure", "created_time": "2025-11-04 18:01:32", "modified_time": "2025-11-04 18:01:32", "extra_info": {"tags": ["authentication", "credentials management", "supervisor API", "password retrieval"], "generalized_query": "Accessing account credentials for API authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6e32c04e1ff843b8885e4363f7e7f5ab", "memory_type": "task", "when_to_use": "When interacting with APIs that require precise parameter usage and error handling", "content": "The higher-scoring approach systematically validated API specifications before execution, adjusted parameters based on error responses (e.g., switching from 'recipient_email' to 'user_email' in Venmo payment requests), and leveraged file system directory traversal to locate resources. This contrasts with the lower-scoring approach's repeated assumption-based API calls that failed due to incorrect parameters and unverified endpoint capabilities.", "score": 0, "time_created": "2025-11-04 18:01:39", "time_modified": "2025-11-04 18:01:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make venmo requests to my roommates, with a description note, 'I paid for cable bill.'", "when_to_use": "When interacting with APIs that require precise parameter usage and error handling", "category": "comparative", "created_time": "2025-11-04 18:01:39", "modified_time": "2025-11-04 18:01:39", "extra_info": {"tags": ["api-optimization", "error-handling", "parameter-validation", "file-system-navigation"], "generalized_query": "Execute multi-step API workflows requiring dynamic parameter adjustment and error resolution"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d0f19589389d492d955e08bd25c7c72b", "memory_type": "task", "when_to_use": "When searching for contacts with specific relationships", "content": "Avoid assuming field names like 'note' or 'relationship' exist in contact data. First inspect the actual API response structure to determine available fields. Use available phone app APIs like search_contacts with appropriate query parameters and validate field existence before filtering.", "score": 0, "time_created": "2025-11-04 18:01:44", "time_modified": "2025-11-04 18:01:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Search for Jennifer's roommates in her phone contacts", "when_to_use": "When searching for contacts with specific relationships", "category": "failure", "created_time": "2025-11-04 18:01:44", "modified_time": "2025-11-04 18:01:44", "extra_info": {"tags": ["phone", "contacts", "relationship", "data_validation"], "generalized_query": "Identifying contacts with specific relationship labels in phone apps"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c0643a39fe04cc2ae3af88b8ef6451d", "memory_type": "task", "when_to_use": "When accessing protected APIs requiring authentication tokens", "content": "Successfully authenticate using supervisor.show_account_passwords() to retrieve credentials, then use the login API to obtain an access token. Include this token in all subsequent API requests (e.g., search_notes, show_note, update_note) to maintain authorization. This pattern ensures continuous access while working with protected endpoints.", "score": 0, "time_created": "2025-11-04 18:02:11", "time_modified": "2025-11-04 18:02:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done.", "when_to_use": "When accessing protected APIs requiring authentication tokens", "category": "success", "created_time": "2025-11-04 18:02:11", "modified_time": "2025-11-04 18:02:11", "extra_info": {"tags": ["authentication", "access_token", "note-taking", "api_credentials"], "generalized_query": "Modify content in a note stored in a password-protected note-taking app"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0a91693b216742b1b21853205a70e388", "memory_type": "task", "when_to_use": "When authenticating to an app requires retrieving credentials from a supervisor account and handling API pagination", "content": "The higher-scoring approach systematically retrieved credentials via the supervisor API, authenticated correctly using the phone number as username, and implemented robust pagination to fetch all alarms. The lower-scoring approach failed due to incorrect login credentials (using email instead of phone number), repeated failed authentication attempts, and inability to handle API rate limiting or pagination properly.", "score": 0, "time_created": "2025-11-04 18:02:39", "time_modified": "2025-11-04 18:02:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest.", "when_to_use": "When authenticating to an app requires retrieving credentials from a supervisor account and handling API pagination", "category": "comparative", "created_time": "2025-11-04 18:02:39", "modified_time": "2025-11-04 18:02:39", "extra_info": {"tags": ["authentication", "api-pagination", "credential-retrieval", "alarm-management"], "generalized_query": "Modify specific alarms in a user's alarm system while managing authentication and data retrieval"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2776a65ce8314198bbefda96dd5d3c03", "memory_type": "task", "when_to_use": "When searching for notes with specific content or tags in Simple Note API", "content": "When notes are not found via title search, prioritize checking tags, content, or creating the note if it doesn't exist. Always validate API limitations (e.g., search_notes may not return content-matching notes unless explicitly designed to do so).", "score": 0, "time_created": "2025-11-04 18:02:01", "time_modified": "2025-11-04 18:02:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done.", "when_to_use": "When searching for notes with specific content or tags in Simple Note API", "category": "failure", "created_time": "2025-11-04 18:02:01", "modified_time": "2025-11-04 18:02:01", "extra_info": {"tags": ["note-search", "api-limitations", "partial-matching", "note-creation", "simple-note"], "generalized_query": "Update a note in a note-taking app based on partial content or tags when exact title search fails"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bfe3fa4d62f3467cbbc5466a990afd45", "memory_type": "task", "when_to_use": "When handling authentication for APIs requiring access tokens", "content": "Always include access_token in API calls after authentication. Store and reuse tokens instead of hardcoding them, and handle token expiration/renewal workflows explicitly.", "score": 0, "time_created": "2025-11-04 18:02:01", "time_modified": "2025-11-04 18:02:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done.", "when_to_use": "When handling authentication for APIs requiring access tokens", "category": "failure", "created_time": "2025-11-04 18:02:01", "modified_time": "2025-11-04 18:02:01", "extra_info": {"tags": ["authentication", "access-token", "api-calls", "token-management"], "generalized_query": "Ensure valid access tokens are used for API requests requiring authentication"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bb8f03c4092a4ef7b15e3766ad621334", "memory_type": "task", "when_to_use": "When updating specific content within a note that requires partial modification (e.g., marking a checklist item as done)", "content": "The higher-scoring approach efficiently located the correct note by using a precise title filter and retrieved the full note content to perform a targeted string replacement. This ensured minimal disruption to existing data. In contrast, the lower-scoring approach initially searched for the wrong title, risked infinite loops, and attempted to overwrite content entirely, which could corrupt the note's structure. The higher approach also validated the note's content format before modification, ensuring accuracy.", "score": 0, "time_created": "2025-11-04 18:02:35", "time_modified": "2025-11-04 18:02:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Witnessing a total solar eclipse\" in my Bucket List Simple Note as done.", "when_to_use": "When updating specific content within a note that requires partial modification (e.g., marking a checklist item as done)", "category": "comparative", "created_time": "2025-11-04 18:02:35", "modified_time": "2025-11-04 18:02:35", "extra_info": {"tags": ["note-update", "string-replacement", "checklist", "content-integrity"], "generalized_query": "Update a specific entry in a structured note (e.g., checklist) without overwriting the entire content"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cdeb3a945c62429fa9fab3951568f57b", "memory_type": "task", "when_to_use": "When paginating through API results to avoid infinite loops or excessive requests", "content": "The higher-scoring approach used a fixed page_index loop with a hard-coded upper bound (page_index < 10), ensuring predictable execution. The lower-scoring approach initially lacked a page limit, causing an infinite loop error. Even after adding a max_pages limit, it required multiple retries and debug steps, wasting resources. The higher approach's conservative pagination strategy minimized API calls while guaranteeing completion.", "score": 0, "time_created": "2025-11-04 18:02:35", "time_modified": "2025-11-04 18:02:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Witnessing a total solar eclipse\" in my Bucket List Simple Note as done.", "when_to_use": "When paginating through API results to avoid infinite loops or excessive requests", "category": "comparative", "created_time": "2025-11-04 18:02:35", "modified_time": "2025-11-04 18:02:35", "extra_info": {"tags": ["pagination", "loop-safety", "api-rate-limiting"], "generalized_query": "Retrieve paginated data with a safe termination condition to prevent resource exhaustion"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "61d1290f0dd04b5dbb73a6b47eec0a15", "memory_type": "task", "when_to_use": "When encountering authentication failures due to incorrect credentials", "content": "The higher-scoring approach successfully resolved login failure by switching from email to phone number as the username after verifying password list contents. It systematically validated credentials via `show_account_passwords`, adapted login parameters, and implemented robust error handling. The lower-scoring approach repeatedly attempted failed login with email without adapting, leading to redundant errors and task stagnation.", "score": 0, "time_created": "2025-11-04 18:03:11", "time_modified": "2025-11-04 18:03:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When encountering authentication failures due to incorrect credentials", "category": "comparative", "created_time": "2025-11-04 18:03:11", "modified_time": "2025-11-04 18:03:11", "extra_info": {"tags": ["authentication", "credentials", "error_handling", "adaptation"], "generalized_query": "Adjust specific alarms and disable others using app credentials"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "67c02392a5564b0a8152efc1cfb7c169", "memory_type": "task", "when_to_use": "When managing paginated API responses for comprehensive data retrieval", "content": "The higher-scoring approach implemented a robust pagination loop with dynamic page indexing to ensure complete alarm retrieval, while the lower-scoring sequence would have risked incomplete data processing. The successful implementation demonstrated proactive handling of API pagination constraints through iterative page requests until exhaustion.", "score": 0, "time_created": "2025-11-04 18:03:11", "time_modified": "2025-11-04 18:03:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When managing paginated API responses for comprehensive data retrieval", "category": "comparative", "created_time": "2025-11-04 18:03:11", "modified_time": "2025-11-04 18:03:11", "extra_info": {"tags": ["pagination", "data_retrieval", "iteration", "api_constraints"], "generalized_query": "Process paginated alarm data for modification"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8f7bfc1a8dac483ab58ae40d711f9aee", "memory_type": "task", "when_to_use": "When authenticating to an app with specific credential requirements", "content": "The higher-scoring approach successfully authenticated using the correct phone number as username (not email) and retrieved credentials via the supervisor API, avoiding repeated failed login attempts. The lower-scoring approach wasted iterations with invalid email-based login and manual password reset attempts that never resolved authentication issues. Proper credential sourcing from the supervisor app and immediate use of valid credentials enabled single successful login in the higher approach.", "score": 0, "time_created": "2025-11-04 18:03:28", "time_modified": "2025-11-04 18:03:28", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When authenticating to an app with specific credential requirements", "category": "comparative", "created_time": "2025-11-04 18:03:28", "modified_time": "2025-11-04 18:03:28", "extra_info": {"tags": ["authentication", "credentials", "supervisor", "phone", "login"], "generalized_query": "Modify specific alarms in a user's alarm system while maintaining authentication integrity"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b17c0ba6df5e406182df51f8f7a6281f", "memory_type": "task", "when_to_use": "When accessing protected API endpoints", "content": "Always implement token refresh logic before making paginated requests. 401 errors during pagination indicate expired/invalid access tokens that require re-authentication before retrying.", "score": 0, "time_created": "2025-11-04 18:03:38", "time_modified": "2025-11-04 18:03:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When accessing protected API endpoints", "category": "failure", "created_time": "2025-11-04 18:03:38", "modified_time": "2025-11-04 18:03:38", "extra_info": {"tags": ["api_authentication", "pagination", "token_management"], "generalized_query": "Paginated API access requiring authentication tokens"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "76f45a8df5d54e26b10455d56d6db822", "memory_type": "task", "when_to_use": "When modifying alarms or other time-sensitive settings with dependencies", "content": "Always verify existing alarm states before applying changes to avoid redundant operations and unintended side effects. Explicitly validate labels are unique before using `next()` to prevent partial failures with duplicate entries.", "score": 0, "time_created": "2025-11-04 18:03:35", "time_modified": "2025-11-04 18:03:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When modifying alarms or other time-sensitive settings with dependencies", "category": "failure", "created_time": "2025-11-04 18:03:35", "modified_time": "2025-11-04 18:03:35", "extra_info": {"tags": ["alarm", "time adjustment", "disable", "recurring tasks"], "generalized_query": "Adjust specific recurring alarms while modifying/enabling/disabling related alarms"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "69fdaa8ebbe9410e9ec8f7618e4ceb49", "memory_type": "task", "when_to_use": "When calculating playlist durations based on song IDs", "content": "Failed to properly retrieve and aggregate song durations from Spotify API. Song IDs must be individually queried to extract duration values rather than assuming numerical IDs represent durations.", "score": 0, "time_created": "2025-11-04 18:03:36", "time_modified": "2025-11-04 18:03:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating playlist durations based on song IDs", "category": "failure", "created_time": "2025-11-04 18:03:36", "modified_time": "2025-11-04 18:03:36", "extra_info": {"tags": ["Spotify", "playlist duration", "song metadata", "API query", "duration calculation"], "generalized_query": "Determine the minimum playlist duration across all user playlists using song metadata"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a930558deff44a73b3d64c3caea38e2e", "memory_type": "task", "when_to_use": "When calculating playlist duration requires precise song lengths rather than assumptions", "content": "The higher-scoring approach retrieved actual song durations via the `show_song` API instead of using an arbitrary 3-minute average. This ensured precise calculation by leveraging granular metadata rather than making assumptions about variable-length content.", "score": 0, "time_created": "2025-11-04 18:03:29", "time_modified": "2025-11-04 18:03:29", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating playlist duration requires precise song lengths rather than assumptions", "category": "comparative", "created_time": "2025-11-04 18:03:29", "modified_time": "2025-11-04 18:03:29", "extra_info": {"tags": ["duration-calculation", "metadata-accuracy", "api-optimization"], "generalized_query": "Calculating media content duration from itemized metadata"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "979519a73bc642e094be952be05d53eb", "memory_type": "task", "when_to_use": "When retrieving paginated API results", "content": "Incomplete pagination handling risks missing data. Always verify if API responses indicate additional pages exist (e.g., through next_page tokens or consistent result sizes).", "score": 0, "time_created": "2025-11-04 18:03:44", "time_modified": "2025-11-04 18:03:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When retrieving paginated API results", "category": "failure", "created_time": "2025-11-04 18:03:44", "modified_time": "2025-11-04 18:03:44", "extra_info": {"tags": ["pagination", "data completeness", "api responses", "playlist retrieval"], "generalized_query": "Handling paginated API responses for complete dataset retrieval"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6303d922cf1c493e900a2589ef351f52", "memory_type": "task", "when_to_use": "When calculating media collection metrics requiring granular item data (e.g., total duration of playlists, libraries, or queues)", "content": "Successfully calculated maximum playlist duration by: (1) Authenticating via supervisor app credentials (2) Paginating through playlist_library API to collect all playlists (3) For each playlist, fetching show_playlist details (4) For each song in playlist, calling show_song API to get precise duration_seconds (5) Summing durations and converting to minutes. Critical success factor was replacing assumed 3-minute song lengths with actual API-provided durations after discovering 'duration' field in show_song response schema.", "score": 0, "time_created": "2025-11-04 18:04:07", "time_modified": "2025-11-04 18:04:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating media collection metrics requiring granular item data (e.g., total duration of playlists, libraries, or queues)", "category": "success", "created_time": "2025-11-04 18:04:07", "modified_time": "2025-11-04 18:04:07", "extra_info": {"tags": ["authentication", "pagination", "media-duration", "api-chaining", "Spotify"], "generalized_query": "Calculate aggregate media duration across paginated API results with per-item metadata lookups"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0fc268a73f664fa3be98f482b288d142", "memory_type": "task", "when_to_use": "When calling specific resource-detail APIs for metadata retrieval", "content": "Cross-reference API documentation to confirm available endpoints before implementation to avoid invalid API calls", "score": 0, "time_created": "2025-11-04 18:04:11", "time_modified": "2025-11-04 18:04:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calling specific resource-detail APIs for metadata retrieval", "category": "failure", "created_time": "2025-11-04 18:04:11", "modified_time": "2025-11-04 18:04:11", "extra_info": {"tags": ["api_documentation", "endpoint_verification", "method_name", "spotify"], "generalized_query": "Retrieve detailed metadata about individual media items from streaming platforms"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3915157c28794ae0b3da7ed6de42a1d1", "memory_type": "task", "when_to_use": "When retrieving song/album IDs from dictionaries with mismatched key-value structures", "content": "Always validate dictionary key-value relationships before accessing elements. When mapping titles to IDs, explicitly create cross-reference structures instead of assuming direct ID-to-title mappings", "score": 0, "time_created": "2025-11-04 18:04:21", "time_modified": "2025-11-04 18:04:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When retrieving song/album IDs from dictionaries with mismatched key-value structures", "category": "failure", "created_time": "2025-11-04 18:04:21", "modified_time": "2025-11-04 18:04:21", "extra_info": {"tags": ["dictionary", "key-value", "id-mapping", "data-structure"], "generalized_query": "Retrieve specific media item ID from a dictionary with title-based keys when needing numeric ID"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3a29b4c15d8a4698be1bedd2f809b689", "memory_type": "task", "when_to_use": "When handling paginated API responses or multi-step data transformations", "content": "Implement intermediate validation checkpoints after each data transformation step. Print/inspect intermediate data structures to confirm expected formats before proceeding", "score": 0, "time_created": "2025-11-04 18:04:21", "time_modified": "2025-11-04 18:04:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When handling paginated API responses or multi-step data transformations", "category": "failure", "created_time": "2025-11-04 18:04:21", "modified_time": "2025-11-04 18:04:21", "extra_info": {"tags": ["api-response", "data-validation", "pagination", "debugging"], "generalized_query": "Process nested API responses requiring multiple transformation steps"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "64e7e6b1694349d4888506177b1be000", "memory_type": "task", "when_to_use": "When retrieving song/playlist metadata or interaction metrics", "content": "Always verify API existence and parameters via show_api_docs before implementation. When metrics like play count aren't directly available, use existing relational data (like song IDs from playlist details) with appropriate private metadata endpoints.", "score": 0, "time_created": "2025-11-04 18:04:25", "time_modified": "2025-11-04 18:04:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist.", "when_to_use": "When retrieving song/playlist metadata or interaction metrics", "category": "failure", "created_time": "2025-11-04 18:04:25", "modified_time": "2025-11-04 18:04:25", "extra_info": {"tags": ["spotify", "api-validation", "metadata-retrieval", "parameter-validation"], "generalized_query": "Identify and play the most popular item in a specific music streaming service playlist"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f8ffe6c05e71445ab801c82e94fe2b0a", "memory_type": "task", "when_to_use": "When handling API parameter requirements", "content": "Never assume parameter types - explicitly validate required parameter formats (integer vs string) through API documentation before implementation. Use existing ID fields from prior API responses rather than attempting title-based lookups when IDs are already available.", "score": 0, "time_created": "2025-11-04 18:04:25", "time_modified": "2025-11-04 18:04:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist.", "when_to_use": "When handling API parameter requirements", "category": "failure", "created_time": "2025-11-04 18:04:25", "modified_time": "2025-11-04 18:04:25", "extra_info": {"tags": ["parameter-validation", "api-documentation", "id-mapping"], "generalized_query": "Execute API calls requiring numeric identifiers instead of textual references"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d3ca744ff9ff4c29abde73ea3884abc7", "memory_type": "task", "when_to_use": "When accessing private user data via APIs requiring authentication tokens", "content": "Always validate and explicitly pass access tokens for authenticated API calls, even after initial login. Verify API endpoint behavior with test data to ensure expected output before relying on it for critical decisions.", "score": 0, "time_created": "2025-11-04 18:04:37", "time_modified": "2025-11-04 18:04:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When accessing private user data via APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 18:04:37", "modified_time": "2025-11-04 18:04:37", "extra_info": {"tags": ["spotify", "authentication", "private-api", "listen-counts", "authorization"], "generalized_query": "Retrieve user-specific metrics (e.g., listen counts) from a music streaming platform's private API"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7fc7540978fe415a95469637089237a6", "memory_type": "task", "when_to_use": "When filtering results based on specific dataset properties", "content": "Implement explicit data validation checks for edge cases (e.g., zero values) and ensure metadata cross-referencing logic correctly maps relationships between nested data structures.", "score": 0, "time_created": "2025-11-04 18:04:37", "time_modified": "2025-11-04 18:04:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When filtering results based on specific dataset properties", "category": "failure", "created_time": "2025-11-04 18:04:37", "modified_time": "2025-11-04 18:04:37", "extra_info": {"tags": ["data-validation", "metadata-mapping", "edge-cases", "album-filtering"], "generalized_query": "Select items from a subset of data requiring cross-referenced metadata"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fdc05bb3f844464887797fbc8b1aed39", "memory_type": "task", "when_to_use": "When handling financial transaction approvals that require balance verification", "content": "The higher-scoring approach proactively checked Venmo balance against total pending amounts before approval, preventing failed transactions. The lower-scoring approach attempted approvals without balance validation, leading to execution failure. The higher approach demonstrated better risk management by: 1) Implementing pagination for complete request retrieval 2) Adding financial feasibility checks 3) Gracefully handling insufficient funds scenarios", "score": 0, "time_created": "2025-11-04 18:05:02", "time_modified": "2025-11-04 18:05:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers.", "when_to_use": "When handling financial transaction approvals that require balance verification", "category": "comparative", "created_time": "2025-11-04 18:05:02", "modified_time": "2025-11-04 18:05:02", "extra_info": {"tags": ["venmo", "payment-approval", "balance-validation", "transaction-handling"], "generalized_query": "Approve pending payment requests with account balance constraints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1991dba0c9c04ede9cfe43c4ad64146a", "memory_type": "task", "when_to_use": "When retrieving account credentials from the supervisor app for API authentication", "content": "Always filter credentials by account_name when using supervisor.show_account_passwords() rather than assuming positional indexing. Use list comprehensions or explicit filtering to ensure correct credential retrieval.", "score": 0, "time_created": "2025-11-04 18:05:20", "time_modified": "2025-11-04 18:05:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When retrieving account credentials from the supervisor app for API authentication", "category": "failure", "created_time": "2025-11-04 18:05:20", "modified_time": "2025-11-04 18:05:20", "extra_info": {"tags": ["authentication", "credentials", "supervisor", "venmo", "password"], "generalized_query": "Authenticating to a service using account credentials stored in the supervisor app"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "70c2ecfd33294d23b1cb4f86cc81dfe7", "memory_type": "task", "when_to_use": "When handling paginated API responses for bulk operations", "content": "Implement page_index incrementing loops with empty-result termination checks to handle paginated data completely. Always validate API responses contain data before extending result lists.", "score": 0, "time_created": "2025-11-04 18:05:20", "time_modified": "2025-11-04 18:05:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When handling paginated API responses for bulk operations", "category": "failure", "created_time": "2025-11-04 18:05:20", "modified_time": "2025-11-04 18:05:20", "extra_info": {"tags": ["pagination", "api", "venmo", "payment", "loop"], "generalized_query": "Processing paginated results from an API endpoint"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "9739ea14422f44748e136c27d75d784b", "memory_type": "task", "when_to_use": "When searching for an artist's most played song on Spotify and the API supports sorting by play count", "content": "The successful approach combined two key elements: (1) Using the 'search_songs' API with the artist name as query parameter, and (2) leveraging the 'sort_by' parameter with '-play_count' to prioritize results by play frequency. This pattern ensures the first result in the response is the most played song, avoiding manual sorting of results. The negative sign in '-play_count' specifies descending order sorting, which is critical for surface-level access to top-played content.", "score": 0, "time_created": "2025-11-04 18:05:22", "time_modified": "2025-11-04 18:05:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When searching for an artist's most played song on Spotify and the API supports sorting by play count", "category": "success", "created_time": "2025-11-04 18:05:22", "modified_time": "2025-11-04 18:05:22", "extra_info": {"tags": ["Spotify", "search_songs", "sort_by", "play_count", "artist", "most_played"], "generalized_query": "Find the most played song by a specific artist on Spotify using API search capabilities"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1ddb8099ebb24395891323b9f06aeaab", "memory_type": "task", "when_to_use": "When needing to authenticate and access user-specific data across APIs", "content": "The sequence demonstrated secure credential handling through the supervisor API's 'show_account_passwords' method, followed by immediate token storage. This pattern prevents credential exposure by: (1) Using scoped password retrieval, (2) Immediately discarding raw credentials after authentication, and (3) Reusing the access_token variable across subsequent API calls. This approach balances security with operational efficiency for authenticated API workflows.", "score": 0, "time_created": "2025-11-04 18:05:22", "time_modified": "2025-11-04 18:05:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When needing to authenticate and access user-specific data across APIs", "category": "success", "created_time": "2025-11-04 18:05:22", "modified_time": "2025-11-04 18:05:22", "extra_info": {"tags": ["authentication", "supervisor_api", "credential_management", "access_token"], "generalized_query": "Access music platform data requiring authentication while managing credentials securely"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5cfbe442b7854ab5a1344ebfb3a30006", "memory_type": "task", "when_to_use": "When handling paginated API requests with short-lived access tokens", "content": "The higher-scoring approach prioritized immediate action after authentication to minimize token expiration risks. It efficiently looped through all pages of pending requests using a while-loop with page_index increment, and systematically denied each request in a single pass. The lower-scoring approach repeatedly re-attempted authentication and failed to maintain valid tokens due to syntax errors and lack of structured pagination handling. The higher-scoring sequence also avoided redundant code by storing results in variables for subsequent steps.", "score": 0, "time_created": "2025-11-04 18:05:06", "time_modified": "2025-11-04 18:05:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When handling paginated API requests with short-lived access tokens", "category": "comparative", "created_time": "2025-11-04 18:05:06", "modified_time": "2025-11-04 18:05:06", "extra_info": {"tags": ["authentication", "pagination", "token", "Venmo", "API", "denial", "requests"], "generalized_query": "Process and resolve multiple paginated API requests requiring authentication tokens"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0d97bbe600614441b03b175c1f6b1d78", "memory_type": "task", "when_to_use": "When performing irreversible operations on multiple items", "content": "Implement confirmation checks for each item before execution, especially when handling sensitive financial operations. Add dry-run capability to preview changes before committing.", "score": 0, "time_created": "2025-11-04 18:05:37", "time_modified": "2025-11-04 18:05:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When performing irreversible operations on multiple items", "category": "failure", "created_time": "2025-11-04 18:05:37", "modified_time": "2025-11-04 18:05:37", "extra_info": {"tags": ["transaction-safety", "irreversible-operations", "confirmation-checks", "venmo"], "generalized_query": "Bulk denial/approval of transaction requests"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f389577d64c440e7950caff9fcca12f4", "memory_type": "task", "when_to_use": "When retrieving user-specific data requiring precise filtering (e.g., songs by a specific artist)", "content": "The higher-scoring approach systematically validated artist identity via `search_artists` to obtain the precise `artist_id` before querying songs, ensuring accurate filtering. It also implemented pagination loops to exhaustively collect all songs, while the lower-scoring approach relied on ambiguous query syntax without verifying artist uniqueness or retrieving all pages, risking incomplete/inaccurate results.", "score": 0, "time_created": "2025-11-04 18:05:59", "time_modified": "2025-11-04 18:05:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When retrieving user-specific data requiring precise filtering (e.g., songs by a specific artist)", "category": "comparative", "created_time": "2025-11-04 18:05:59", "modified_time": "2025-11-04 18:05:59", "extra_info": {"tags": ["spotify", "artist filtering", "pagination", "data completeness", "api validation"], "generalized_query": "Identify the least played media item by a specific creator from a user's library"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5a8b2b8f80c34f268b9d535190230663", "memory_type": "task", "when_to_use": "When accessing another person's data via third-party APIs", "content": "Never assume cross-account data accessibility without explicit API permissions. Always verify API scope and authentication boundaries before attempting to access another user's private data", "score": 0, "time_created": "2025-11-04 18:06:15", "time_modified": "2025-11-04 18:06:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When accessing another person's data via third-party APIs", "category": "failure", "created_time": "2025-11-04 18:06:15", "modified_time": "2025-11-04 18:06:15", "extra_info": {"tags": ["spotify", "authentication", "cross-account", "data-access", "privacy"], "generalized_query": "Retrieving personal music consumption data from a third party's account"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a29e463876aa440897ac643aaab73948", "memory_type": "task", "when_to_use": "When interpreting 'most played' metrics from music platforms", "content": "Always validate if the API endpoint provides actual play count data or only like/playlist metadata. Use the appropriate endpoints (e.g., show_liked_songs vs. show_song_library) based on what metrics are available", "score": 0, "time_created": "2025-11-04 18:06:15", "time_modified": "2025-11-04 18:06:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When interpreting 'most played' metrics from music platforms", "category": "failure", "created_time": "2025-11-04 18:06:15", "modified_time": "2025-11-04 18:06:15", "extra_info": {"tags": ["spotify", "play-count", "analytics", "endpoint-selection"], "generalized_query": "Extracting consumption analytics from music streaming services"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "025cf4813c1e46668426c8c3c27aa535", "memory_type": "task", "when_to_use": "When filtering multi-artist tracks to isolate specific contributor's works", "content": "Used nested list comprehension to filter search results by exact artist name in artist array. This ensures accuracy when tracks may contain multiple artists, preventing misattribution to similarly named artists or featured collaborators.", "score": 0, "time_created": "2025-11-04 18:06:21", "time_modified": "2025-11-04 18:06:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When filtering multi-artist tracks to isolate specific contributor's works", "category": "success", "created_time": "2025-11-04 18:06:21", "modified_time": "2025-11-04 18:06:21", "extra_info": {"tags": ["artist filtering", "metadata validation", "multi-artist tracks", "Spotify API"], "generalized_query": "Isolate media items where specific creator is primary contributor"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b333905519d2440aad10e1866d56e3a5", "memory_type": "task", "when_to_use": "When retrieving maximum value items from paginated API responses", "content": "Set page_limit to maximum allowed value (20) to minimize API calls while ensuring comprehensive dataset coverage. Combined with immediate metric-based sorting, this reduces computational overhead compared to multiple round-trip requests.", "score": 0, "time_created": "2025-11-04 18:06:21", "time_modified": "2025-11-04 18:06:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When retrieving maximum value items from paginated API responses", "category": "success", "created_time": "2025-11-04 18:06:21", "modified_time": "2025-11-04 18:06:21", "extra_info": {"tags": ["API pagination", "extreme value detection", "performance optimization"], "generalized_query": "Extract extreme value items (max/min) from API-paginated datasets"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4aa4a401f14b4f0bb6e86e47bb44ad39", "memory_type": "task", "when_to_use": "When needing to follow artists based on user-liked songs in Spotify, especially when dealing with paginated API responses and nested data structures", "content": "The successful approach involved: 1) Pagination handling for both liked songs and following artists lists 2) Structural inspection of API responses to correctly extract artist IDs (noting initial KeyError when assuming 'artist_id' vs actual 'artists[0][id]' structure) 3) Set-based comparison to identify new follows 4) Batch processing of follow actions after full data collection. Critical decision points included verifying API response structures after errors and using set operations for efficient comparison.", "score": 0, "time_created": "2025-11-04 18:06:26", "time_modified": "2025-11-04 18:06:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When needing to follow artists based on user-liked songs in Spotify, especially when dealing with paginated API responses and nested data structures", "category": "success", "created_time": "2025-11-04 18:06:26", "modified_time": "2025-11-04 18:06:26", "extra_info": {"tags": ["Spotify", "artist follow", "pagination", "API structure", "set operations"], "generalized_query": "Follow entities (artists, creators) based on user-liked content in a music streaming platform using paginated API endpoints"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dbf16703662e4ab4b41058705d54262e", "memory_type": "task", "when_to_use": "When extracting nested data from API responses with unexpected structures", "content": "Always verify API response structure before accessing nested fields - use explicit key checks and data traversal. When working with paginated results, ensure you're correctly parsing the actual data fields returned by the API rather than assuming field names or nesting levels.", "score": 0, "time_created": "2025-11-04 18:06:25", "time_modified": "2025-11-04 18:06:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When extracting nested data from API responses with unexpected structures", "category": "failure", "created_time": "2025-11-04 18:06:25", "modified_time": "2025-11-04 18:06:25", "extra_info": {"tags": ["api_data_parsing", "nested_data_structure", "music_platform", "artist_relationships"], "generalized_query": "Identify and process artist-song relationships from music streaming platform APIs"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "20d9fb7a42074f27940acb19e3560d30", "memory_type": "task", "when_to_use": "When performing set operations on user relationships and preferences", "content": "Use set operations for efficient comparison of large datasets (e.g., following vs. liked content creators). Always convert API response data into appropriate data structures (sets/dictionaries) before performing these operations to ensure O(1) lookup times.", "score": 0, "time_created": "2025-11-04 18:06:25", "time_modified": "2025-11-04 18:06:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When performing set operations on user relationships and preferences", "category": "failure", "created_time": "2025-11-04 18:06:25", "modified_time": "2025-11-04 18:06:25", "extra_info": {"tags": ["set_operations", "user_following", "engagement_analysis", "social_platform"], "generalized_query": "Determine differences between user followings and engagement history in social platforms"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "02d08321c66542c9ac6309c0dd36e22f", "memory_type": "task", "when_to_use": "When dealing with paginated APIs and needing to avoid redundant actions", "content": "The higher-scoring approach efficiently handled pagination for both liked songs and followed artists, while also checking existing followed artists to avoid duplicates. The lower-scoring approach failed initially due to incorrect API usage (non-existent 'show_artists') and later used inefficient individual 'show_artist' calls instead of batch processing. The higher approach's use of 'show_following_artists' with pagination and set-based comparison reduced API calls and ensured completeness.", "score": 0, "time_created": "2025-11-04 18:07:03", "time_modified": "2025-11-04 18:07:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When dealing with paginated APIs and needing to avoid redundant actions", "category": "comparative", "created_time": "2025-11-04 18:07:03", "modified_time": "2025-11-04 18:07:03", "extra_info": {"tags": ["api-pagination", "duplicate-avoidance", "batch-processing", "artist-following"], "generalized_query": "Automate following entities based on user preferences requiring multi-step API interactions"}, "utility": 0, "freq": 0}}
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f2c0427ba4714559a23f532db622f379", "memory_type": "task", "when_to_use": "When interacting with APIs that require processing multiple items and no bulk API exists", "content": "When an API does not provide a bulk operation for a collection of items, iterate through each item individually using the available single-item API endpoint. Always verify API specifications before assuming bulk capabilities exist.", "score": 0, "time_created": "2025-11-04 18:07:04", "time_modified": "2025-11-04 18:07:04", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When interacting with APIs that require processing multiple items and no bulk API exists", "category": "failure", "created_time": "2025-11-04 18:07:04", "modified_time": "2025-11-04 18:07:04", "extra_info": {"tags": ["API design", "bulk operations", "individual processing", "API documentation"], "generalized_query": "Process multiple entities (e.g., artists, songs) via an API when only individual operations are available"}, "utility": 0, "freq": 0}}
