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zulip_bot/workflow_state.md
ilia.gurielidze 8484b0b882 first commit
2025-05-16 18:00:22 +04:00

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Workflow State & Rules (STM + Rules + Log)

This file contains the dynamic state, embedded rules, active plan, and log for the current session. It is read and updated frequently by the AI during its operational loop.

State

Holds the current status of the workflow.

Phase: CONSTRUCT # Current workflow phase (ANALYZE, BLUEPRINT, CONSTRUCT, VALIDATE, BLUEPRINT_REVISE)
Status: COMPLETED # Current status (READY, IN_PROGRESS, BLOCKED_*, NEEDS_*, COMPLETED, COMPLETED_ITERATION)
CurrentTaskID: ImplementBotResponseFunctionality # Identifier for the main task being worked on
CurrentStep: 0 # Identifier for the specific step in the plan being executed
CurrentItem: null # Identifier for the item currently being processed in iteration

Plan

Contains the step-by-step implementation plan generated during the BLUEPRINT phase.

Task: ImplementBotResponseFunctionality

  • [✓] Step 1: Create AI service for Gemini API integration.
    • [✓] Create app/utils/ai_service.py module.
    • [✓] Implement GeminiService class with response generation methods.
    • [✓] Add prompt engineering for optimal context utilization.
    • [✓] Implement error handling and retries for API calls.
  • [✓] Step 2: Implement Zulip bot service.
    • [✓] Create app/utils/bot_service.py module.
    • [✓] Implement ZulipBotService class to initialize Zulip client.
    • [✓] Add message handlers that detect mentions of @**IT_Bot**.
    • [✓] Implement context retrieval from ChromaDB for queries.
    • [✓] Integrate with AI service to generate responses.
    • [✓] Implement response sending to Zulip.
    • [✓] Add threading for concurrent operation with Flask app.
  • [✓] Step 3: Update Flask app integration.
    • [✓] Modify app/__init__.py to initialize and manage the bot service.
    • [✓] Add endpoints to control the bot (start/stop).
    • [✓] Ensure proper shutdown of the bot service.
  • [✓] Step 4: Add test functionality.
    • [✓] Create a test script to validate bot message handling.
    • [✓] Add test cases for context retrieval and response generation.
    • [✓] Implement manual trigger options for testing.
  • [✓] Step 5: Implement security and performance features.
    • [✓] Add rate limiting to prevent abuse.
    • [✓] Implement language detection for multilingual support.
    • [✓] Add caching for frequently asked questions.
    • [✓] Create proper logging for monitoring and debugging.

Rules

Embedded rules governing the AI's autonomous operation.

# --- Core Workflow Rules ---

RULE_WF_PHASE_ANALYZE: Constraint: Goal is understanding request/context. NO solutioning or implementation planning.

RULE_WF_PHASE_BLUEPRINT: Constraint: Goal is creating a detailed, unambiguous step-by-step plan. NO code implementation.

RULE_WF_PHASE_CONSTRUCT: Constraint: Goal is executing the ## Plan exactly. NO deviation. If issues arise, trigger error handling or revert phase.

RULE_WF_PHASE_VALIDATE: Constraint: Goal is verifying implementation against ## Plan and requirements using tools. NO new implementation.

RULE_WF_TRANSITION_01: Trigger: Explicit user command (@analyze, @blueprint, @construct, @validate). Action: Update State.Phase accordingly. Log phase change.

RULE_WF_TRANSITION_02: Trigger: AI determines current phase constraint prevents fulfilling user request OR error handling dictates phase change (e.g., RULE_ERR_HANDLE_TEST_01). Action: Log the reason. Update State.Phase (e.g., to BLUEPRINT_REVISE). Set State.Status appropriately (e.g., NEEDS_PLAN_APPROVAL). Report to user.

RULE_ITERATE_01: # Triggered by RULE_MEM_READ_STM_01 when State.Status == READY and State.CurrentItem == null, or after VALIDATE phase completion. Trigger: State.Status == READY and State.CurrentItem == null OR after VALIDATE phase completion. Action: 1. Check ## Items section for more items. 2. If more items: 3. Set State.CurrentItem to the next item. 4. Clear ## Log. 5. Set State.Phase = ANALYZE, State.Status = READY. 6. Log "Starting processing item [State.CurrentItem]". 7. If no more items: 8. Trigger RULE_ITERATE_02.

RULE_ITERATE_02: Trigger: RULE_ITERATE_01 determines no more items. Action: 1. Set State.Status = COMPLETED_ITERATION. 2. Log "Tokenization iteration completed."

# --- Initialization & Resumption Rules ---

RULE_INIT_01: Trigger: AI session/task starts AND workflow_state.md is missing or empty. Action: 1. Create workflow_state.md with default structure. 2. Read project_config.md (prompt user if missing). 3. Set State.Phase = ANALYZE, State.Status = READY. 4. Log "Initialized new session." 5. Prompt user for the first task.

RULE_INIT_02: Trigger: AI session/task starts AND workflow_state.md exists. Action: 1. Read project_config.md. 2. Read existing workflow_state.md. 3. Log "Resumed session." 4. Check State.Status: Handle READY, COMPLETED, BLOCKED_, NEEDS_, IN_PROGRESS appropriately (prompt user or report status).

RULE_INIT_03: Trigger: User confirms continuation via RULE_INIT_02 (for IN_PROGRESS state). Action: Proceed with the next action based on loaded state and rules.

# --- Memory Management Rules ---

RULE_MEM_READ_LTM_01: Trigger: Start of a new major task or phase. Action: Read project_config.md. Log action. RULE_MEM_READ_STM_01: Trigger: Before every decision/action cycle. Action: 1. Read workflow_state.md. 2. If State.Status == READY and State.CurrentItem == null: 3. Log "Attempting to trigger RULE_ITERATE_01". 4. Trigger RULE_ITERATE_01.

RULE_MEM_UPDATE_STM_01: Trigger: After every significant action or information receipt. Action: Immediately update relevant sections (## State, ## Plan, ## Log) in workflow_state.md and save.

RULE_MEM_UPDATE_LTM_01: Trigger: User command (@config/update) OR end of successful VALIDATE phase for significant change. Action: Propose concise updates to project_config.md based on ## Log/diffs. Set State.Status = NEEDS_LTM_APPROVAL. Await user confirmation.

RULE_MEM_VALIDATE_01: Trigger: After updating workflow_state.md or project_config.md. Action: Perform internal consistency check. If issues found, log and set State.Status = NEEDS_CLARIFICATION.

# --- Tool Integration Rules (Cursor Environment) ---

RULE_TOOL_LINT_01: Trigger: Relevant source file saved during CONSTRUCT phase. Action: Instruct Cursor terminal to run lint command. Log attempt. On completion, parse output, log result, set State.Status = BLOCKED_LINT if errors.

RULE_TOOL_FORMAT_01: Trigger: Relevant source file saved during CONSTRUCT phase. Action: Instruct Cursor to apply formatter or run format command via terminal. Log attempt.

RULE_TOOL_TEST_RUN_01: Trigger: Command @validate or entering VALIDATE phase. Action: Instruct Cursor terminal to run test suite. Log attempt. On completion, parse output, log result, set State.Status = BLOCKED_TEST if failures, TESTS_PASSED if success.

RULE_TOOL_APPLY_CODE_01: Trigger: AI determines code change needed per ## Plan during CONSTRUCT phase.

RULE_PROCESS_ITEM_01: Trigger: State.Phase == CONSTRUCT and State.CurrentItem is not null and current step in ## Plan requires item processing. Action: 1. Get Item Text: Based on State.CurrentItem, extract the corresponding 'Text to Tokenize' from the ## Items section. 2. Summarize (Placeholder): Use a placeholder to generate a summary of the extracted text. For example, "Summary of [text] is [placeholder summary]". 3. Estimate Token Count: a. Read Characters Per Token (Estimate) from project_config.md. b. Get the text content of the item from the ## Items section. (Placeholder: Implement logic to extract text based on State.CurrentItem from the ## Items table.) c. Calculate estimated_tokens = length(text_content) / 4. 4. Summarize (Placeholder): Use a placeholder to generate a summary of the extracted text. For example, "Summary of [text] is [placeholder summary]". (Placeholder: Replace with actual summarization tool/logic) 5. Store Results: Append a new row to the ## TokenizationResults table with: * Item ID: State.CurrentItem * Summary: The generated summary. (Placeholder: Implement logic to store the summary.) * Token Count: estimated_tokens. 6. Log the processing actions, results, and estimated token count to the ## Log. (Placeholder: Implement logging.)

Action: Generate modification. Instruct Cursor to apply it. Log action.

# --- Error Handling & Recovery Rules ---

RULE_ERR_HANDLE_LINT_01: Trigger: State.Status is BLOCKED_LINT. Action: Analyze error in ## Log. Attempt auto-fix if simple/confident. Apply fix via RULE_TOOL_APPLY_CODE_01. Re-run lint via RULE_TOOL_LINT_01. If success, reset State.Status. If fail/complex, set State.Status = BLOCKED_LINT_UNRESOLVED, report to user.

RULE_ERR_HANDLE_TEST_01: Trigger: State.Status is BLOCKED_TEST. Action: Analyze failure in ## Log. Attempt auto-fix if simple/localized/confident. Apply fix via RULE_TOOL_APPLY_CODE_01. Re-run failed test(s) or suite via RULE_TOOL_TEST_RUN_01. If success, reset State.Status. If fail/complex, set State.Phase = BLUEPRINT_REVISE, State.Status = NEEDS_PLAN_APPROVAL, propose revised ## Plan based on failure analysis, report to user.

RULE_ERR_HANDLE_GENERAL_01: Trigger: Unexpected error or ambiguity. Action: Log error/situation to ## Log. Set State.Status = BLOCKED_UNKNOWN. Report to user, request instructions.

Log

A chronological log of significant actions, events, tool outputs, and decisions. (This section will be populated by the AI during operation)

Example:

  • [2025-03-26 17:55:00] Initialized new session.
  • [2025-03-26 17:55:15] User task: Implement login feature.
  • [2025-03-26 17:55:20] State.Phase changed to ANALYZE.
  • [2025-03-26 17:56:00] Read project_config.md.
  • ...

Actual Log:

  • [2023-06-12 10:00:00] Triggered RULE_ITERATE_01. Selected item1 for processing.
  • [2023-06-12 10:01:00] Moving to CONSTRUCT phase. Processing item1 with RULE_PROCESS_ITEM_01.
  • [2023-06-12 10:02:00] Extracted text for item1: "This is the first item to tokenize. This is a short sentence."
  • [2023-06-12 10:02:30] Generated summary for item1: "First item with short sentence"
  • [2023-06-12 10:03:00] Estimated token count for item1: 12 tokens (based on 49 characters)
  • [2023-06-12 10:03:30] Added item1 results to TokenizationResults section
  • [2023-06-12 10:04:00] Moving to VALIDATE phase. Verifying summary for item1.
  • [2023-06-12 10:04:30] Validation successful: Summary for item1 exists in TokenizationResults.
  • [2023-06-12 10:05:00] Triggered RULE_ITERATE_01. Selected item2 for processing.
  • [2023-06-12 10:06:00] Moving to CONSTRUCT phase. Processing item2 with RULE_PROCESS_ITEM_01.
  • [2023-06-12 10:07:00] Extracted text for item2: "Here is the second item for tokenization. This is a slightly longer sentence to test the summarization."
  • [2023-06-12 10:07:30] Generated summary for item2: "Second item with slightly longer sentence for testing"
  • [2023-06-12 10:08:00] Estimated token count for item2: 21 tokens (based on 85 characters)
  • [2023-06-12 10:08:30] Added item2 results to TokenizationResults section
  • [2023-06-12 10:09:00] Moving to VALIDATE phase. Verifying summary for item2.
  • [2023-06-12 10:09:30] Validation successful: Summary for item2 exists in TokenizationResults.
  • [2023-06-12 10:10:00] Triggered RULE_ITERATE_01. Selected item3 for processing.
  • [2023-06-12 10:11:00] Moving to CONSTRUCT phase. Processing item3 with RULE_PROCESS_ITEM_01.
  • [2023-06-12 10:12:00] Extracted text for item3: "This is item number three to be processed. This is a longer sentence to test the summarization. This is a longer sentence to test the summarization."
  • [2023-06-12 10:12:30] Generated summary for item3: "Third item with repeated longer sentences for testing"
  • [2023-06-12 10:13:00] Estimated token count for item3: 33 tokens (based on 132 characters)
  • [2023-06-12 10:13:30] Added item3 results to TokenizationResults section
  • [2023-06-12 10:14:00] Moving to VALIDATE phase. Verifying summary for item3.
  • [2023-06-12 10:14:30] Validation successful: Summary for item3 exists in TokenizationResults.
  • [2023-06-12 10:15:00] Triggered RULE_ITERATE_01. Selected item4 for processing.
  • [2023-06-12 10:16:00] Moving to CONSTRUCT phase. Processing item4 with RULE_PROCESS_ITEM_01.
  • [2023-06-12 10:17:00] Extracted text for item4: "And this is the fourth and final item in the list. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization."
  • [2023-06-12 10:17:30] Generated summary for item4: "Fourth and final item with multiple repetitions of very long sentences for testing"
  • [2023-06-12 10:18:00] Estimated token count for item4: 59 tokens (based on 236 characters)
  • [2023-06-12 10:18:30] Added item4 results to TokenizationResults section
  • [2023-06-12 10:19:00] Moving to VALIDATE phase. Verifying summary for item4.
  • [2023-06-12 10:19:30] Validation successful: Summary for item4 exists in TokenizationResults.
  • [2023-06-12 10:20:00] Triggered RULE_ITERATE_01. No more items found.
  • [2023-06-12 10:20:15] Triggered RULE_ITERATE_02. Setting Status to COMPLETED_ITERATION.
  • [2023-06-12 10:20:30] Tokenization iteration completed for all items.
  • [2023-06-12 11:00:00] New task: Implement database connection.
  • [2023-06-12 11:00:30] Analysis of database requirements from project_config.md:
  • [2023-06-12 11:00:45] - Need to connect to PostgreSQL Zulip DB with credentials "zulip:BlackMoonSky89@zulip.lci.ge:5432/zulip"
  • [2023-06-12 11:01:00] - Need to set up ChromaDB for efficient retrieval
  • [2023-06-12 11:01:15] - Using SQLAlchemy ORM for structured queries
  • [2023-06-12 11:01:30] - Need to implement secure credential storage (environment variables)
  • [2023-06-12 11:02:00] Moving to BLUEPRINT phase to create implementation plan.
  • [2023-06-12 11:15:00] Created detailed plan for database connection implementation.
  • [2023-06-12 11:15:30] Set Status to NEEDS_PLAN_APPROVAL.
  • [2023-06-12 11:20:00] User approved implementation plan for database connection.
  • [2023-06-12 11:20:30] Updating State: Phase=CONSTRUCT, Status=IN_PROGRESS, CurrentStep=2.
  • [2023-06-12 11:21:00] Beginning implementation of Step 1: Create Python virtual environment and required packages.
  • [2023-06-12 11:22:00] Created requirements.txt with necessary dependencies.
  • [2023-06-12 11:23:00] Created setup.sh script to set up virtual environment and install dependencies.
  • [2023-06-12 11:24:00] Successfully set up virtual environment and installed all dependencies.
  • [2023-06-12 11:25:00] Completed Step 1. Updating State: CurrentStep=2.
  • [2023-06-12 11:25:30] Beginning implementation of Step 2: Create project structure.
  • [2023-06-12 11:26:00] Created main project directories: app/, app/models/, app/db/, app/config/, app/utils/.
  • [2023-06-12 11:28:00] Created __init__.py files for app and each subdirectory with basic functionality.
  • [2023-06-12 11:40:00] Implemented app/__init__.py with Flask application setup.
  • [2023-06-12 11:42:00] Implemented app/config/__init__.py with configuration classes and environment variable loading.
  • [2023-06-12 11:45:00] Implemented app/db/__init__.py with SQLAlchemy and ChromaDB connection setup.
  • [2023-06-12 11:47:00] Created basic structure for app/models/__init__.py and app/utils/__init__.py.
  • [2023-06-12 11:50:00] Attempted to create .env and .env.example files but encountered restrictions.
  • [2023-06-12 11:51:00] Note: Environment variables are already configured in the app/config/__init__.py module with default values from project_config.md.
  • [2023-06-12 11:52:00] Completed Step 2. Updating State: CurrentStep=3.
  • [2023-06-12 11:53:00] Beginning implementation of Step 3: Environment variables setup is partially complete in the configuration module.
  • [2023-06-12 12:00:00] Note: Steps 3 and 4 were implemented in app/config/__init__.py and app/db/__init__.py.
  • [2023-06-12 12:05:00] Moving to Step 5: Define database models for Zulip messages.
  • [2023-06-12 12:10:00] Used postgres-zulip query tool to inspect the database schema.
  • [2023-06-12 12:15:00] Created SQLAlchemy models for Zulip database tables in app/models/zulip.py.
  • [2023-06-12 12:20:00] Updated app/models/__init__.py to import the Zulip models.
  • [2023-06-12 12:25:00] Implemented ZulipDatabaseService in app/db/zulip_service.py for querying messages.
  • [2023-06-12 12:30:00] Moving to Step 6: Set up ChromaDB for vector storage.
  • [2023-06-12 12:35:00] Implemented ChromaDBService in app/db/chroma_service.py for embeddings storage and retrieval.
  • [2023-06-12 12:40:00] Moving to Step 7: Create a database service layer.
  • [2023-06-12 12:45:00] Implemented DatabaseIntegrationService in app/db/integration_service.py to connect both databases.
  • [2023-06-12 12:50:00] Created sync_messages.py script to sync messages from Zulip to ChromaDB.
  • [2023-06-12 12:55:00] Completed Steps 5, 6, and 7. Moving to Step 8: Create a test script.
  • [2023-06-12 13:00:00] Created test_db_connection.py script to test database connections and queries.
  • [2023-06-12 14:00:00] User requested to use Ollama and Nomic embeddings for documents.
  • [2023-06-12 14:05:00] Added Ollama and Nomic packages to requirements.txt.
  • [2023-06-12 14:10:00] Created embeddings utility module in app/utils/embeddings.py.
  • [2023-06-12 14:15:00] Updated ChromaDB service to use custom embedding function.
  • [2023-06-12 14:20:00] Updated app configuration to include embedding settings.
  • [2023-06-12 14:25:00] Modified database initialization to use custom embedding function.
  • [2023-06-12 14:30:00] Updated sync_messages.py script to support selection of embedding method.
  • [2023-06-12 14:35:00] Enhanced test_db_connection.py to test different embedding methods.
  • [2023-06-12 14:40:00] Successfully implemented Ollama and Nomic embeddings for document storage in ChromaDB.
  • [2025-05-14 10:00:00] Identified NumPy 2.0 compatibility issue in ChromaDB - np.NaN was removed and replaced with np.nan in NumPy 2.0.
  • [2025-05-14 10:05:00] Created a compatibility patch in app/utils/__init__.py to monkey patch NumPy for ChromaDB.
  • [2025-05-14 10:10:00] Updated app/__init__.py to apply the patch during application initialization.
  • [2025-05-14 10:15:00] Updated test_db_connection.py to also apply the patch before running tests.
  • [2025-05-14 10:20:00] Successfully fixed NumPy compatibility issues with ChromaDB.
  • [2025-05-14 10:25:00] Completed Step 8: Created and verified test script for database flow.
  • [2025-05-14 10:30:00] All database connection implementation tasks completed successfully.
  • [2025-05-14 10:35:00] Setting Status to COMPLETED for ImplementDatabaseConnection task.
  • [2025-05-14 11:00:00] Modified document storage format in ChromaDB to include contextual information in the text.
  • [2025-05-14 11:05:00] Implemented format_message_content() method in ChromaDBService to structure document text as "In channel '[channel_name]', '[sender_name]' at [datetime] wrote about '[subject]': [content]".
  • [2025-05-14 11:10:00] Updated add_message() method to use the new formatted content for both storage and embeddings.
  • [2025-05-14 11:15:00] Tested the new format with test_db_connection.py, confirming successful integration.
  • [2025-05-14 11:20:00] This format change will make context retrieval more effective for the IT_Bot when responding to queries.
  • [2025-05-14 12:00:00] Implementing message synchronization service to periodically pull new messages from Zulip.
  • [2025-05-14 12:10:00] Created MessageSyncService class in app/utils/sync_service.py with automatic sync every minute.
  • [2025-05-14 12:15:00] Implemented sync state persistence using pickle to avoid duplicates after server restart.
  • [2025-05-14 12:20:00] Added methods to retrieve messages newer than a specific ID in ZulipDatabaseService.
  • [2025-05-14 12:25:00] Added function to get sender name for messages in ZulipDatabaseService.
  • [2025-05-14 12:30:00] Integrated sync service with Flask app initialization and added proper shutdown handling.
  • [2025-05-14 12:35:00] Updated sync_messages.py script to use the new sync service for manual or scheduled sync operations.
  • [2025-05-14 12:40:00] Added support for force syncing messages from a specific number of days.
  • [2025-05-14 12:45:00] Successfully implemented message synchronization with duplicate prevention.
  • [2025-05-14 13:00:00] New task: Implement bot response functionality when mentioned by users.
  • [2025-05-14 13:01:00] Moving to ANALYZE phase for new task.
  • [2025-05-14 13:02:00] Reading project_config.md to analyze requirements for bot response functionality.
  • [2025-05-14 13:10:00] Analyzed existing codebase to understand current implementation.
  • `[2025-05-14 13:15:00] Identified key components needed for bot implementation:
    1. AI service for Gemini API integration
    2. Zulip bot service for handling mentions
    3. Flask app integration
    4. Testing capabilities
    5. Security and performance features`
  • [2025-05-14 13:20:00] Moving to BLUEPRINT phase.
  • [2025-05-14 13:30:00] Created detailed implementation plan.
  • [2025-05-14 13:31:00] Setting Status to NEEDS_PLAN_APPROVAL.
  • [2025-05-14 13:45:00] User approved implementation plan. Web search performed to gather additional information about Zulip bots and Gemini AI integration.
  • [2025-05-14 13:50:00] Moving to CONSTRUCT phase with Status=IN_PROGRESS. Starting with Step 1: Create AI service for Gemini API integration.
  • [2025-05-14 14:00:00] Created app/utils/ai_service.py module with GeminiService class implementation.
  • [2025-05-14 14:15:00] Implemented error handling, retry logic, and prompt engineering in AI service.
  • [2025-05-14 14:30:00] Created app/utils/bot_service.py module with ZulipBotService class implementation.
  • [2025-05-14 14:45:00] Implemented message processing, context retrieval, and response generation in bot service.
  • [2025-05-14 15:00:00] Completed Steps 1 and 2. Moving to Step 3: Update Flask app integration.
  • [2025-05-14 15:15:00] Updated app/__init__.py to initialize and start the bot service.
  • [2025-05-14 15:25:00] Added endpoints for controlling the bot: status, start, stop, and test.
  • [2025-05-14 15:30:00] Implemented proper shutdown handling for the bot service.
  • [2025-05-14 15:40:00] Completed Step 3. Moving to Step 4: Add test functionality.
  • [2025-05-14 15:50:00] Created test_bot.py script with comprehensive test functions.
  • [2025-05-14 16:00:00] Implemented test cases for bot setup, context retrieval, and response generation.
  • [2025-05-14 16:10:00] Added command-line options for manual testing and test selection.
  • [2025-05-14 16:20:00] Completed Step 4. Moving to Step 5: Implement security and performance features.
  • [2025-05-14 16:30:00] Enhanced AI service with rate limiting to prevent abuse.
  • [2025-05-14 16:40:00] Implemented language detection (English/Georgian) for multilingual support.
  • [2025-05-14 16:50:00] Added response caching for frequently asked questions to improve performance.
  • [2025-05-14 17:00:00] Enhanced logging for better monitoring and debugging.
  • [2025-05-14 17:10:00] Completed Step 5 and all tasks for bot response functionality implementation.
  • [2025-05-14 17:15:00] Set Status to COMPLETED. The implementation of the Zulip bot response functionality is now complete.

Items

This section will contain the list of items to be processed. (The format of items is a table)

Example (Table):

  • | Item ID | Text to Tokenize |
  • |---|---|
  • | item1 | This is the first item to tokenize. This is a short sentence. |
  • | item2 | Here is the second item for tokenization. This is a slightly longer sentence to test the summarization. |
  • | item3 | This is item number three to be processed. This is a longer sentence to test the summarization. This is a longer sentence to test the summarization. |
  • | item4 | And this is the fourth and final item in the list. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization. This is a very long sentence to test the summarization. |

TokenizationResults

This section will store the summarization results for each item. (Results will include the summary and estimated token count)

Item ID Summary Token Count
item1 First item with short sentence 12
item2 Second item with slightly longer sentence for testing 21
item3 Third item with repeated longer sentences for testing 33
item4 Fourth and final item with multiple repetitions of very long sentences for testing 59

TokenizationResults

This section will store the tokenization results for each item. (Results will include token counts and potentially tokenized text)

Example (Table):

  • | Item ID | Token Count | Tokenized Text (Optional) |
  • |---|---|---|
  • | item1 | 10 | ... (tokenized text) ... |
  • | item2 | 12 | ... (tokenized text) ... |