# 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.*

```yaml
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) ... |`