# Chroma MCP Server - Test Flow Simulation

This document outlines a sequence of Model Context Protocol (MCP) tool calls to simulate a basic workflow and test the functionality of the `chroma-mcp-server`. This is useful for verifying that the server and its tools are operating correctly after setup or changes.

**Important Note on Tool Naming:** The tool call examples in this document use generic base tool names (e.g., `chroma_create_collection`, `chroma_get_server_version`). When executing these tests, you will need to **prepend the correct prefix for your specific Chroma MCP server instance** as defined in your MCP client configuration (e.g., if your server is named `my_chroma` in `.cursor/mcp.json`, a tool call would look like `default_api.my_chroma_chroma_create_collection(...)`).

**Test-Driven Learning Automation:**

For information on the automated test-driven learning workflow, including:

- Setting up automated test failure and success tracking
- Running tests with the `--auto-capture-workflow` flag
- Detecting and promoting test transitions automatically
- Creating validation evidence from test improvements

See the [Automated Test Workflow Guide](usage/automated_test_workflow.md) and use the client commands:

```bash
# Setup test workflow automation
chroma-mcp-client setup-test-workflow --workspace-dir /path/to/workspace

# Check for test transitions after making changes
chroma-mcp-client check-test-transitions --workspace-dir /path/to/workspace --auto-promote
```

**Assumptions:**

- The `chroma-mcp-server` is running and accessible via the MCP client (e.g., through Cursor's `chroma_test` or `chroma` configuration).
- **Embedding Function:** The server uses an embedding function (configured via `--embedding-function` CLI arg or `CHROMA_EMBEDDING_FUNCTION` env var, defaulting to `all-MiniLM-L6-v2`). The specific function used can slightly affect the results of semantic searches (query/find_similar operations).
- **Recent Refactoring:** Document `add`, `update`, and `delete` tools now operate on **single documents** to improve compatibility with certain clients/models. Query and Get operations still support multiple items/results.

**Error Handling Note:**

- All tool implementations now raise `mcp.shared.exceptions.McpError` on failure (e.g., validation errors, collection not found, ChromaDB errors). Expect error responses to be structured accordingly, rather than returning `isError=True`.

**Tool Usage Format Note:**

- For tools that accept a `tool_usage` parameter (such as `chroma_log_chat`), the standard format requires each item to have a `name` key and an optional `args` object:

  ```json
  {"name": "tool_name", "args": {"param1": "value1", "param2": "value2"}}
  ```

- The legacy format with `tool` and `params` keys is deprecated but still supported for backward compatibility.
- For complete details on tool usage format, see the [Tool Usage Format Specification](../usage/tool_usage_format.md).

**Client-Side/Framework Limitations Note (Important):**

- Testing has revealed that some MCP clients or the framework layer (particularly the test harness) might have limitations in correctly serializing or interpreting tool parameters, especially lists or values **explicitly provided** for parameters that were originally designed as optional.
- Specifically:
  - **Formerly Optional Parameters:** Providing values for parameters like `limit`, `offset`, `n_results`, `session_id`, `branch_id`, `threshold`, `increment_index` in a test tool call can lead to errors like `Parameter '...' must be of type undefined, got number/string`. The framework layer seems to misinterpret the argument *before* it reaches Python/Pydantic validation.
  - **List Parameters:** Required list parameters like `ids` or `query_texts` may be incorrectly serialized as strings by some clients (e.g., `'["id1", "id2"]'`) instead of proper JSON arrays, causing Pydantic validation errors on the server.
- **Workarounds (Mainly for Test Environment):**
  - **Omit formerly optional parameters** (`limit`, `offset`, `n_results`, `session_id`, `branch_id`, `threshold`, `increment_index`) in tool calls whenever possible, especially in the test harness. Rely on the default values defined in the implementation (e.g., `limit=0`, `offset=0`, `n_results=10`, `session_id=""`, `threshold=-1.0`, `increment_index=True`). The implementation code handles these defaults correctly.
  - For specifying included fields in `get` operations, use the dedicated tool variants (`chroma_get_documents_by_ids_embeddings`, `chroma_get_documents_by_ids_all`). Base tools now always use ChromaDB defaults.
  - **JSON String Parameters:** Ensure `metadata`, `where`, `where_document` are passed as valid **JSON strings** (e.g., `'{"key": "value"}'`). Do not pass Python dictionaries directly for these.
  - Required lists (`ids`, `query_texts`) remain potentially susceptible to client-side list serialization bugs, which might make tools requiring them unusable with certain clients.
- Single-item operations (add, update, delete) and simple *required* string/boolean parameters are generally unaffected by these issues.

## Test Sequence

### 1. Check Server Version

Verify the server is responding and get its version.

```tool_code
print(default_api.chroma_get_server_version(random_string="check"))
```

*Expected Outcome:* A JSON response containing the package name and installed version.

### 2. Create a New Collection

Let's create a collection to store test data using the basic tool.

```tool_code
print(default_api.chroma_create_collection(collection_name="mcp_flow_test_coll"))
```

*Expected Outcome:* Confirmation of creation with collection name, ID, and default metadata/settings. If the collection already exists, an `McpError` indicating this will be raised.

### 2b. Create Collection with Metadata

Create a second collection, this time specifying metadata upfront.

```tool_code
print(default_api.chroma_create_collection_with_metadata(
    collection_name="mcp_flow_test_coll_meta",
    metadata='{\"description\": \"Collection for metadata tests\", \"topic\": \"testing\"}'
))
```

*Expected Outcome:* Confirmation of creation with the specified metadata.

### 2c. Rename Collection

Rename the second collection.

```tool_code
print(default_api.chroma_rename_collection(
    collection_name="mcp_flow_test_coll_meta",
    new_name="mcp_flow_test_coll_renamed"
))
```

*Expected Outcome:* Confirmation of rename.

### 3. List Collections

Verify the new collection appears in the list.

```tool_code
print(default_api.chroma_list_collections())
```

**Note:** Due to potential client limitations with optional parameters, `name_contains` is omitted. Verify manually if needed.

*Expected Outcome:* A list including `"mcp_flow_test_coll"` and `"mcp_flow_test_coll_renamed"`.

### 4. Get Collection Details

Retrieve information about the newly created collection.

```tool_code
print(default_api.chroma_get_collection(collection_name="mcp_flow_test_coll"))
```

*Expected Outcome:* Details including name, ID, metadata, count (should be 0 initially), and sample entries (should be empty initially).

### 5. Add a Document (with Metadata as JSON String)

Add a sample document using the single-item tool that expects metadata as a JSON string.

```tool_code
print(default_api.chroma_add_document_with_metadata(
    collection_name="mcp_flow_test_coll",
    document="This is the first test document.",
    metadata='{\"source\": \"test_flow\", \"topic\": \"general\"}' # Single JSON string
    # increment_index is optional, defaults to True as per server implementation (omitted here to rely on default)
))
```

*Expected Outcome:* Confirmation that 1 document was added. The response might include the auto-generated ID if the tool implementation returns it (design choice). Let's assume we don't know the ID for now.

### 5b. Add Another Document (with ID)

Add another document, this time specifying an ID.

```tool_code
print(default_api.chroma_add_document_with_id(
    collection_name="mcp_flow_test_coll",
    document="Here is another document for testing purposes.",
    id="test-doc-2" # Parameter remains singular 'id' as per schema
))
```

*Expected Outcome:* Confirmation that 1 document was added with the specified ID.

### 5c. Add Third Document (with ID and Metadata)

Add a third document with both ID and metadata.

```tool_code
print(default_api.chroma_add_document_with_id_and_metadata(
    collection_name="mcp_flow_test_coll",
    document="The quick brown fox jumps over the lazy dog.",
    id="test-doc-pangram",
    metadata='{\"source\": \"test_flow\", \"topic\": \"pangram\"}'
))
```

*Expected Outcome:* Confirmation that 1 document was added with the specified ID and metadata.

### 5d. Add Document (Basic)

Add a basic document without specifying ID or metadata to the first collection.

```tool_code
print(default_api.chroma_add_document(
    collection_name="mcp_flow_test_coll",
    document="This is a basic document with no extra info."
))
```

*Expected Outcome:* Confirmation that 1 document was added (response might include the generated ID).

### 6. Peek at Collection

Check the first few entries.

```tool_code
print(default_api.chroma_peek_collection(collection_name="mcp_flow_test_coll"))
```

**Note:** `limit` is omitted due to potential client issues.

*Expected Outcome:* A sample of documents (default limit is 10) including the ones we added (e.g., ID "test-doc-2", "test-doc-pangram", and one auto-generated ID).

### 6b. Get All Documents

Retrieve all documents from the first collection (respecting potential default limits).

```tool_code
print(default_api.chroma_get_all_documents(collection_name="mcp_flow_test_coll"))
```

*Expected Outcome:* A list containing all documents currently in `mcp_flow_test_coll`.

### 7. Query Documents

Perform a semantic search. This tool now queries both the specified `collection_name` AND the `derived_learnings_v1` collection, merging the results.

**Note:** The quality and specific ranking of results depend on the chosen embedding function and the content of both collections. Each result item's metadata will include a `source_collection` field indicating its origin.

```tool_code
print(default_api.chroma_query_documents(
    collection_name="mcp_flow_test_coll",
    query_texts=["Tell me about test documents"], # Required list, should work
    # n_results is optional (defaults to 10), include is optional
))
```

**Note:** Optional parameters omitted due to potential client issues. Use specific variants for filtering if needed and if the client supports them.

*Expected Outcome (Client Limitation possible):* A list of results including relevant documents from BOTH `mcp_flow_test_coll` and potentially `derived_learnings_v1`. Each result item's metadata should include a `source_collection` field indicating its origin (`mcp_flow_test_coll` or `derived_learnings_v1`). May fail if client cannot handle `query_texts` list.

### 7b. Query with Metadata Filter (`where`)

Perform a query filtering by metadata.

```tool_code
print(default_api.chroma_query_documents_with_where_filter(
    collection_name="mcp_flow_test_coll",
    query_texts=["Tell me about pangrams"],
    where='{\"topic\": \"pangram\"}' # Filter for topic as JSON string
))
```

*Expected Outcome:* Results containing the "pangram" document.

### 7c. Query with Document Filter (`where_document`)

Perform a query filtering by document content.

```tool_code
print(default_api.chroma_query_documents_with_document_filter(
    collection_name="mcp_flow_test_coll",
    query_texts=["Tell me about general test documents"],
    where_document='{\"$contains\": \"first test\"}' # Filter for content as JSON string
))
```

*Expected Outcome:* Results containing the document with "first test" in its content.

### 8. Get Specific Documents by ID

Retrieve documents using their known IDs. Use the specific `_by_ids` variant. **This step might fail with affected clients due to list handling.**

```tool_code
# Use the IDs we specified earlier.
print(default_api.chroma_get_documents_by_ids(
    collection_name="mcp_flow_test_coll",
    ids=["test-doc-2", "test-doc-pangram"] # Required list
    # Optional parameters like 'include' are omitted as per client limitations note / Pydantic models
))
```

*Expected Outcome (in affected clients):* Likely failure due to client list handling.
*Expected Outcome (if successful):* JSON containing the requested documents "test-doc-2" and "test-doc-pangram".

### 8b. Get Documents with Metadata Filter (`where`)

Retrieve documents filtering by metadata.

```tool_code
print(default_api.chroma_get_documents_with_where_filter(
    collection_name="mcp_flow_test_coll",
    where='{\"source\": \"test_flow\"}' # Filter for source as JSON string
    # Optional parameters like 'limit', 'offset', 'include' are omitted
))
```

*Expected Outcome:* Documents matching the `source` metadata.

### 8c. Get Documents with Document Filter (`where_document`)

Retrieve documents filtering by content.

```tool_code
print(default_api.chroma_get_documents_with_document_filter(
    collection_name="mcp_flow_test_coll",
    where_document='{\"$contains\": \"basic document\"}' # Filter for content as JSON string
    # Optional parameters like 'limit', 'offset', 'include' are omitted
))
```

*Expected Outcome:* Documents containing "basic document".

### 8d. Get Specific Documents by ID (Embeddings Only)

Retrieve document embeddings only using their known IDs. **This step might fail with affected clients due to list handling.**

```tool_code
# Use the IDs we specified earlier.
print(default_api.chroma_get_documents_by_ids_embeddings(
    collection_name="mcp_flow_test_coll",
    ids=["test-doc-2", "test-doc-pangram"] # Required list
))
```

*Expected Outcome (in affected clients):* Likely failure due to client list handling.
*Expected Outcome (if successful):* JSON containing `ids` and `embeddings` for the requested documents.

### 9. Update Document Content

Modify a document's content using its ID. Use the single-item update tool.

```tool_code
# Use one of the known IDs.
print(default_api.chroma_update_document_content(
    collection_name="mcp_flow_test_coll",
    id="test-doc-2", # Single ID
    document="This document content has been updated." # Single document content
))
```

**Note:** To update metadata, use `default_api.chroma_update_document_metadata` (takes single `id` and `metadata` dict/JSON string).

*Expected Outcome:* Confirmation of update request for 1 document.

### 9b. Update Document Metadata

Update the metadata of a document.

```tool_code
print(default_api.chroma_update_document_metadata(
    collection_name="mcp_flow_test_coll",
    id="test-doc-pangram",
    metadata='{\"source\": \"test_flow_updated\", \"topic\": \"pangram\", \"status\": \"updated\"}' # New metadata as JSON string
))
```

*Expected Outcome:* Confirmation of metadata update request.

### 10. Verify Update with Get (All Data)

Retrieve the updated documents using their IDs and the "all" variant tool to see the changes. **Required `ids` list might still fail with affected clients.**

```tool_code
# Use the same IDs used in Step 9/9b.
print(default_api.chroma_get_documents_by_ids_all(
    collection_name="mcp_flow_test_coll",
    ids=["test-doc-2", "test-doc-pangram"] # Required list
))
```

*Expected Outcome (in affected clients):* Likely failure due to client list handling.
*Expected Outcome (if successful):* JSON containing `ids`, `documents`, `metadatas`, `embeddings` for the requested documents, showing the updated content for `test-doc-2` and updated metadata for `test-doc-pangram`. May raise an `McpError` with code `INVALID_PARAMS` if the collection doesn't support loading URIs/data.

### 11. Delete Document by ID

Remove a specific document using its ID. Use the single-item delete tool.

```tool_code
# Use one of the known IDs.
print(default_api.chroma_delete_document_by_id(
    collection_name="mcp_flow_test_coll",
    id="test-doc-2" # Single ID
))
```

**Note:** Use filter variants (`delete_documents_by_where_filter`, `delete_documents_by_document_filter`) for bulk deletion based on criteria.

*Expected Outcome:* Confirmation of delete request for 1 document.

### 12. Verify Deletion with Get

Attempt to retrieve the deleted document. **This step might fail with affected clients due to list handling.**

```tool_code
# Use the same ID used in Step 11.
print(default_api.chroma_get_documents_by_ids(
    collection_name="mcp_flow_test_coll",
    ids=["test-doc-2"] # Required list
))
```

*Expected Outcome (in affected clients):* Likely failure due to client list handling.
*Expected Outcome (if successful):* JSON response indicating the document with ID "test-doc-2" was not found (e.g., empty result or specific error).

### 12b. Attempt Get on Non-Existent Document

Attempt to retrieve a document ID that never existed. **This step might fail with affected clients due to list handling.**

```tool_code
print(default_api.chroma_get_documents_by_ids(
    collection_name="mcp_flow_test_coll",
    ids=["this-id-never-existed"] # Required list
))
```

*Expected Outcome (in affected clients):* Likely failure due to client list handling.
*Expected Outcome (if successful):* JSON response indicating document not found.

### 13. Delete Remaining Documents (`test-doc-pangram`, generated IDs)

Delete the other known documents from the first collection.

```tool_code
# First, delete the pangram doc
print(default_api.chroma_delete_document_by_id(
    collection_name="mcp_flow_test_coll",
    id="test-doc-pangram" # Single ID
))

# Need to retrieve IDs of auto-generated docs to delete them
# For this example, we'll assume we know one from a peek/get_all result
# Replace 'generated-doc-id-1' with an actual ID obtained from Step 6b
# print(default_api.chroma_delete_document_by_id(
#     collection_name="mcp_flow_test_coll",
#     id="generated-doc-id-1"
# ))
# print(default_api.chroma_delete_document_by_id(
#     collection_name="mcp_flow_test_coll",
#     id="generated-doc-id-2"
# ))
```

*Expected Outcome:* Confirmation of delete requests. *Note: Manual step needed to get generated IDs for full cleanup in a real run.*

### 14. Delete First Collection (`mcp_flow_test_coll`)

Clean up by deleting the first test collection.

```tool_code
print(default_api.chroma_delete_collection(collection_name="mcp_flow_test_coll"))
```

*Expected Outcome:* Confirmation of deletion. If it doesn't exist, an `McpError` is raised.

### 14b. Delete Second Collection (`mcp_flow_test_coll_renamed`)

Clean up by deleting the second (renamed) test collection.

```tool_code
print(default_api.chroma_delete_collection(collection_name="mcp_flow_test_coll_renamed"))
```

*Expected Outcome:* Confirmation of deletion.

### 15. Verify Collection Deletion

Attempt to list collections (should be empty or only contain non-test collections).

```tool_code
print(default_api.chroma_list_collections())
```

**Note:** `name_contains` omitted. Verify manually.

*Expected Outcome:* A list of collection names that does not include `mcp_flow_test_coll` or `mcp_flow_test_coll_renamed`.

---

## Advanced: Thinking Tools (Example Flow)

This section demonstrates a more realistic workflow using the sequential thinking tools, simulating debugging and feature planning. These tools operate independently and use their own internal storage mechanisms.

**Note:** A `session_id` is generated on the first call for a new sequence and should be reused for subsequent thoughts in that sequence.

### T1. Start Session 1: Debugging Login

Record the first thought in a new session about a login issue.

```tool_code
print(default_api.chroma_sequential_thinking(
    thought="User reports login fails frequently after recent deployment. Need to check server logs for errors.",
    thought_number=1,
    total_thoughts=3
    # session_id is omitted, will be generated for session 1
))
```

*Expected Outcome:* Confirmation, including the generated `session_id` (let's call it `session_id_1`).

### T2. Continue Session 1: Identify Error

Record the second thought, using `session_id_1`.

```tool_code
# Replace 'session_id_1' with the actual ID from T1's output
print(default_api.chroma_sequential_thinking(
    session_id="session_id_1",
    thought="Logs show intermittent 'InvalidCredentialsError'. Suspect password hashing or comparison logic in auth_utils.py.",
    thought_number=2,
    total_thoughts=3
))
```

*Expected Outcome:* Confirmation.

### T3. Continue Session 1: Found Bug

Record the final thought for the debugging session.

```tool_code
# Replace 'session_id_1' with the actual ID from T1's output
print(default_api.chroma_sequential_thinking(
    session_id="session_id_1",
    thought="Found the bug! Salt generation during registration used a non-deterministic source. Fixing auth_utils.py.",
    thought_number=3,
    total_thoughts=3
))
```

*Expected Outcome:* Confirmation.

### T3a. Get Session 1 Summary

Retrieve the summary of the first thinking session.

```tool_code
# Replace 'session_id_1' with the actual ID from T1's output
print(default_api.chroma_get_session_summary(
    session_id="session_id_1" # Use actual session_id_1
    # include_branches defaults to True, omit for test simplicity due to client limitations
))
```

*Expected Outcome:* A JSON object containing thoughts from `session_id_1`.

### T4. Start Session 2: Planning MFA

Start a new session for planning a new feature.

```tool_code
print(default_api.chroma_sequential_thinking(
    thought="Product requirement: Add multi-factor authentication (MFA) for enhanced security.",
    thought_number=1,
    total_thoughts=3
    # session_id is omitted, will be generated for session 2
))
```

*Expected Outcome:* Confirmation, including a *new* generated `session_id` (let's call it `session_id_2`).

### T5. Continue Session 2: Research Options

Record the second thought for the MFA planning.

```tool_code
# Replace 'session_id_2' with the actual ID from T4's output
print(default_api.chroma_sequential_thinking(
    session_id="session_id_2",
    thought="Researching MFA options. TOTP (like Google Authenticator) seems the best balance of security and user experience vs SMS/Email codes. Will investigate the 'pyotp' library.",
    thought_number=2,
    total_thoughts=3
))
```

*Expected Outcome:* Confirmation.

### T5a. Continue Session 2: Implementation Plan

Record the final thought outlining the implementation plan.

```tool_code
# Replace 'session_id_2' with the actual ID from T4's output
print(default_api.chroma_sequential_thinking(
    session_id="session_id_2",
    thought="MFA Implementation Plan: 1. Update User model (add TOTP secret field). 2. Integrate 'pyotp' library. 3. Create QR code setup flow in user profile page. 4. Modify login view/API to check for TOTP code after password validation.",
    thought_number=3,
    total_thoughts=3
))
```

*Expected Outcome:* Confirmation.

### T5b. Get Session 2 Summary

Retrieve the summary of the second thinking session.

```tool_code
# Replace 'session_id_2' with the actual ID from T4's output
print(default_api.chroma_get_session_summary(
    session_id="session_id_2" # Use actual session_id_2
))
```

*Expected Outcome:* A JSON object containing thoughts from `session_id_2`.

### T5c. Find Similar Thoughts

Search for thoughts related to a specific topic across sessions.

```tool_code
# Example query
print(default_api.chroma_find_similar_thoughts(
    query="password hashing issue",
    # session_id, n_results, threshold, include_branches are optional.
    # Omitting them here to rely on defaults and due to client limitations.
    # Defaults: n_results=5, threshold=-1.0 (uses server default, e.g. 0.75), include_branches=True
))
```

*Expected Outcome:* A list of thoughts semantically similar to "password hashing issue". Should likely find the second thought from `session_id_1`.

### T5d. Ensure Sessions Collection Exists

Ensure the internal collection used by `find_similar_sessions` exists. This might normally be handled by server initialization, but we include it here for test robustness.

```tool_code
# This command remains the same
print(default_api.chroma_create_collection(collection_name="thinking_sessions"))
```

*Expected Outcome:* Confirmation of creation or an McpError indicating it already exists (which is also acceptable for the test).

### T6. Find Similar Sessions

Search for entire sessions similar to a query related to the new examples. We will test with different thresholds.

**Note:** Session similarity scores depend on the chosen embedding function.

```tool_code
# Query relevant to both Session 1 (login issue) and Session 2 (MFA involves auth)
print(default_api.chroma_find_similar_sessions(
    query="frequent login failures after deployment",
    # We will vary the threshold in the actual test runs (e.g., 0.5, 0.75)
    threshold=0.5 # Placeholder value, will be changed in execution
))
```

*Expected Outcome:* A list of session IDs and summaries that are semantically similar to the query, depending on the threshold used during execution.

---

## Advanced: Auto Log Chat (Enhanced Chat Logging)

This section demonstrates using the auto_log_chat functionality to log comprehensive chat summaries with rich context to the `chat_history_v1` ChromaDB collection.

### LC1. Log Basic Chat

Log a basic chat interaction with essential information:

```tool_code
print(default_api.chroma_log_chat(
    prompt_summary="User asked about implementing JWT authentication",
    response_summary="Provided code example for JWT implementation",
    raw_prompt="How do I implement JWT authentication in my Express application?",
    raw_response="Here's how to implement JWT authentication in Express: [code example]"
    # The following parameters are optional and will use defaults:
    # tool_usage, file_changes, involved_entities, session_id, collection_name
))
```

*Expected Outcome:* Confirmation of successful logging with a generated chat_id (UUID).

### LC2. Log Chat with Tool Usage (Standard Format)

Log a chat interaction including the tool_usage parameter using the standard format:

```tool_code
print(default_api.chroma_log_chat(
    prompt_summary="User asked for help debugging authentication error",
    response_summary="Fixed incorrect parameter in JWT verification",
    raw_prompt="My JWT verification is failing with 'invalid signature'",
    raw_response="The issue is in your verification options. Here's the fix: [code]",
    tool_usage=[
        {"name": "codebase_search", "args": {"query": "JWT verification"}},
        {"name": "read_file", "args": {"target_file": "auth.js"}},
        {"name": "edit_file", "args": {"target_file": "auth.js"}}
    ]
))
```

*Expected Outcome:* Confirmation of successful logging with a generated chat_id.

### LC3. Log Chat with File Changes

Log a chat interaction that includes file changes:

```tool_code
print(default_api.chroma_log_chat(
    prompt_summary="User requested optimization of database query",
    response_summary="Added index and optimized query pattern",
    raw_prompt="My database query is slow, can you help optimize it?",
    raw_response="I've optimized your query by adding an index and restructuring the join.",
    tool_usage=[
        {"name": "read_file", "args": {"target_file": "database.js"}},
        {"name": "edit_file", "args": {"target_file": "database.js"}}
    ],
    file_changes=[
        {
            "file_path": "database.js",
            "before_content": "db.users.find({email: userEmail}).sort({created: -1})",
            "after_content": "db.users.find({email: userEmail}).hint({email: 1}).sort({created: -1})"
        }
    ],
    involved_entities="database.js,query optimization,MongoDB,indexing"
))
```

*Expected Outcome:* Confirmation of successful logging with enhanced context and file changes.

### LC4. Query Logged Chats

Query the chat history for relevant entries:

```tool_code
print(default_api.chroma_query_documents(
    collection_name="chat_history_v1",
    query_texts=["JWT authentication implementation"],
    n_results=3
))
```

*Expected Outcome:* A result set containing chat entries related to JWT authentication, likely including the entries created in LC1 and LC2.

**Note:** The chat history is also automatically included in the results of regular queries to document collections through the updated `chroma_query_documents` tool (which now queries both the specified collection AND the `derived_learnings_v1` collection).

---

This flow covers the primary CRUD operations, filter/query variations, and provides a more detailed example of the thinking tools. Client limitations with list parameters may still affect query/get operations.
