## Description
This PR adds usage frequency tracking to help identify which graph
elements (nodes) are most frequently accessed during user searches.
**Related Issue:** Closes [#1458]
**The Problem:**
When users search repeatedly, we had no way to track which pieces of
information were being referenced most often. This made it impossible
to:
- Prioritize popular content in search results
- Understand which topics users care about most
- Improve retrieval by boosting frequently-used nodes
**The Solution:**
I've implemented a system that tracks usage patterns by:
1. Leveraging the existing `save_interaction=True` flag in
`cognee.search()` which creates `CogneeUserInteraction` nodes
2. Following the `used_graph_element_to_answer` edges to see which graph
elements each search referenced
3. Counting how many times each element was accessed within a
configurable time window (default: 7 days)
4. Writing a `frequency_weight` property back to frequently-accessed
nodes
This gives us a simple numeric weight on nodes that reflects real usage
patterns, which can be used to improve search ranking, analytics
dashboards, or identifying trending topics.
**Key Design Decisions:**
- Time-windowed counting (not cumulative) - focuses on recent usage
patterns
- Configurable minimum threshold - filters out noise from rarely
accessed nodes
- Neo4j-first implementation using Cypher queries - works with our
primary production database
- Documented Kuzu limitation - requires schema changes, leaving for
future work as acceptable per team discussion
The implementation follows existing patterns in Cognee's memify pipeline
and can be run as a scheduled task or on-demand.
**Known Limitations:**
**Kuzu adapter not currently supported** - Kuzu requires properties to
be defined in the schema at node creation time, so dynamic property
updates don't work. I'm opening a separate issue to track Kuzu support,
which will require schema modifications in the Kuzu adapter. For now,
this feature works with Neo4j (our primary production database).
**Follow-up Issue:** #1993
## Acceptance Criteria
**Core Functionality:**
- ✅ `extract_usage_frequency()` correctly counts node access frequencies
from interaction data
- ✅ `add_frequency_weights()` writes `frequency_weight` property to
Neo4j nodes
- ✅ Time window filtering works (only counts recent interactions)
- ✅ Minimum threshold filtering works (excludes rarely-used nodes)
- ✅ Element type distribution tracked for analytics
- ✅ Gracefully handles unsupported adapters (logs warning, doesn't
crash)
**Testing Verification:**
1. Run the end-to-end example with Neo4j:
```bash
# Update .env for Neo4j
GRAPH_DATABASE_PROVIDER=neo4j
GRAPH_DATASET_HANDLER=neo4j_aura_dev
python extract_usage_frequency_examplepy
```
Should show frequencies extracted and applied to nodes
2. Verify in Neo4j Browser (http://localhost:7474):
```cypher
MATCH (n) WHERE n.frequency_weight IS NOT NULL
RETURN n.frequency_weight, labels(n), n.text
ORDER BY n.frequency_weight DESC LIMIT 10
```
Should return nodes with frequency weights
3. Run unit tests:
```bash
python test_usage_frequency.py
```
All tests pass (tests are adapter-agnostic and test core logic)
4. Test graceful handling with unsupported adapter:
```bash
# Update .env for Kuzu
GRAPH_DATABASE_PROVIDER=kuzu
GRAPH_DATASET_HANDLER=kuzu
python extract_usage_frequency_example.py
```
Should log warning about Kuzu not being supported but not crash
**Files Added:**
- `cognee/tasks/memify/extract_usage_frequency.py` - Core implementation
(215 lines)
- `extract_usage_frequency_example.py` - Complete working example with
documentation
- `test_usage_frequency.py` - Unit tests for core logic
- Test utilities and Neo4j setup scripts for local development
**Tested With:**
- Neo4j 5.x (primary target, fully working)
- Kuzu (gracefully skips with warning)
- Python 3.10, 3.11
- Existing Cognee interaction tracking (save_interaction=True)
**What This Solves:**
This directly addresses the need for usage-based ranking mentioned in
[#1458]. Now teams can:
- See which information gets referenced most in their knowledge base
- Build analytics dashboards showing popular topics
- Weight search results by actual usage patterns
- Identify content that needs improvement (low frequency despite high
relevance)
## Type of Change
- [x] New feature (non-breaking change that adds functionality)
## Screenshots
**Output from running the E2E example showing frequency extraction:**
<img width="1125" height="664" alt="image"
src="https://github.com/user-attachments/assets/455c1ee4-525d-498b-8219-8f12a15292eb"
/>
<img width="1125" height="664" alt="image"
src="https://github.com/user-attachments/assets/64d5da31-85db-427b-b4b4-df47a9c12d6f"
/>
<img width="822" height="456" alt="image"
src="https://github.com/user-attachments/assets/69967354-d550-4818-9aff-a2273e48c5f3"
/>
**Neo4j Browser verification:**
```
✓ Found 6 nodes with frequency_weight in Neo4j!
Sample weighted nodes:
- Weight: 37, Type: ['DocumentChunk']
- Weight: 30, Type: ['Entity']
```
## Pre-submission Checklist
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## Release Notes
* **New Features**
* Added usage frequency extraction that aggregates interaction data and
weights frequently accessed graph elements.
* Frequency analysis supports configurable time windows, minimum
interaction thresholds, and element type filtering.
* Automatic frequency weight propagation to Neo4j, Kuzu, and generic
graph database backends.
* **Documentation**
* Added comprehensive example script demonstrating end-to-end usage
frequency extraction, weighting, and analysis.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
- Remove 3 tests for use_combined_context from test_search.py
- Remove 1 test for use_combined_context from test_search_prepare_search_result_contract.py
- Simplify test_authorized_search_non_combined_delegates to test delegation only
These tests relied on the removed use_combined_context parameter and
CombinedSearchResult type. The functionality is no longer available
after removing combined search support.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Remove use_combined_context parameter from search functions
- Remove CombinedSearchResult class from types module
- Update API routers to remove combined search support
- Remove prepare_combined_context helper function
- Update tutorial notebook to remove use_combined_context usage
- Simplify search return types to always return List[SearchResult]
This removes the combined search feature which aggregated results
across multiple datasets into a single response. Users can still
search across multiple datasets and get results per dataset.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Update all cognify test assertions to expect the chunks_per_batch=None
parameter that was added to the CLI command. This fixes three failing tests:
- test_execute_basic_cognify
- test_cognify_invalid_chunk_size
- test_cognify_nonexistent_ontology_file
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Fix AttributeError when args.chunks_per_batch is not present in the
argparse.Namespace object. Use getattr() with default value of None
to safely access the optional chunks_per_batch parameter.
This resolves test failures in test_cli_edge_cases.py where Namespace
objects were created without the chunks_per_batch attribute.
Changes:
- Use getattr(args, 'chunks_per_batch', None) instead of direct access
- Update test assertion to expect chunks_per_batch=None parameter
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
<!-- .github/pull_request_template.md -->
## Description
Resolves#1986
I addressed all `ANN001` errors in `cognee/shared/utils.py`.
Updated functions:
1. send_telemetry
2. start_visualization_server
3. _sanitize_nested_properties
4. embed_logo
While fixing these errors, i've noticed that the `send_telemetry`
function lacked a type hint for `user_id`. After analyzing the `User`
models and usage patterns in the codebase, I found that `user_id` is not
strictly a `str` but can also be a `uuid.UUID` object.
Therefore, I updated the type hint to `Union[str, uuid.UUID]` (importing
`uuid` and `typing.Union`) to accurately reflect the data structure and
improve type safety.
## Acceptance Criteria
* [x] The code passes static analysis (`ruff`) without `ANN001` errors
in `cognee/shared/utils.py`.
* [x] Correct imports (`uuid`, `Union`) are added and sorted.
[Check Steps]
1. Run 'uv run ruff check cognee/shared/utils.py --select ANN001'
5. Expected result: No errors found.
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Refactor**
* Improved type annotations across telemetry and sanitization utilities
for safer handling of IDs and nested properties.
* Ensured additional properties are sanitized before telemetry is sent.
* Added explicit type hints for visualization startup and logo embedding
parameters for clearer IDE support.
This release contains no user-facing changes.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!--
Please provide a clear, human-generated description of the changes in
this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
-->
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
-->
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Bug Fixes**
* Improved error messaging in search functionality with clearer,
actionable feedback when database or user configuration prerequisites
are not met
* Standardized error response format for consistent and informative
error reporting across search operations
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!--
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this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
-->
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
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## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
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- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
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## Pre-submission Checklist
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- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
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- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Clarifies and tightens coreference resolution guidance across
knowledge-graph prompt templates.
>
> - Updates coreference rules to emphasize using the most complete,
human-readable identifiers consistently (`generate_graph_prompt*.txt`)
> - Tweaks examples, notably replacing the John Doe example with a
generic "X" case in the one-shot prompt
> - Minor wording/formatting cleanups; no code changes or logic
modifications
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
8499258272. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Chores**
* Refined entity resolution guidance in knowledge graph generation
prompts to use more generic instructions, improving flexibility and
consistency in how entities are identified throughout the system.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Updated example Helm chart:
* connected PostgreSQL + pgvector to Cognee
* Added required variables and secrets
* Tested with port forwarding
* Updated readme
<!--
Please provide a clear, human-generated description of the changes in
this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
-->
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
-->
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [x] Other (please specify): Cloud
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
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- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Updated deployment guide with example setup instructions, deployment
commands, and port forwarding details for local access.
* **Configuration**
* Added LLM model and provider configuration settings.
* Enhanced deployment with environment variables and memory resource
limits.
* Implemented secure secret management for API keys.
* Adjusted resource allocations for services.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Removed `List and Format check` steps. It's all done by pre-commit
checks
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
-->
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [x] Other (please specify): Dev Experience
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Chores**
* Streamlined the continuous integration workflow by removing redundant
job steps from the automated testing pipeline. Unit tests and
integration tests continue to run as expected.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Update poetry lock for distributed Cognee
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
-->
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
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- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- .github/pull_request_template.md -->
## Description
Fix security issue with langchain raised by Dependabot:
https://github.com/topoteretes/cognee/security/dependabot/73
Older version of langchain has an issue
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
test it locally;
* Proof that it's sufficiently tested.
-->
## Type of Change
<!-- Please check the relevant option -->
- [X ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [ X] **I have tested my changes thoroughly before submitting this PR**
- [X ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ X] My code follows the project's coding standards and style
guidelines
- [ X] I have added tests that prove my fix is effective or that my
feature works
- [ X] I have added necessary documentation (if applicable)
- [X ] All new and existing tests pass
- [X ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ X] I have linked any relevant issues in the description
- [ X] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Addresses Dependabot alerts by updating critical dependencies and
refreshing the Python lockfile.
>
> - Adds `langchain-core` to optional deps and updates locked version to
`1.2.6` (introduces `uuid-utils`)
> - Tightens HTTP stack: raises `aiohttp` to `>=3.13.3`, adds `urllib3`
runtime dep (locked to `2.6.2`)
> - Bumps frontend `next` to `16.1.7`
> - Regenerates `uv.lock` with numerous package/version updates and
platform wheels; adjusts `kubernetes` to `33.1.0` with `oauthlib` dep
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
1eb4197f1a. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Chores**
* Updated Next.js to 16.1.7.
* Relaxed aiohttp dependency constraint.
* Added urllib3 as a dependency.
* Added langchain-core to optional dependencies.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
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<!-- .github/pull_request_template.md -->
## Description
Fix security issue reported by the user
https://github.com/topoteretes/cognee/issues/1950
## Acceptance Criteria
<!--
* Key requirements to the new feature or modification;
* Proof that the changes work and meet the requirements;
* Include instructions on how to verify the changes. Describe how to
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* Proof that it's sufficiently tested.
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## Type of Change
<!-- Please check the relevant option -->
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
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- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> - **Dependencies:** Adds `cbor2>=5.8.0` to `pyproject.toml`; updates
`uv.lock` (including version bump and wheels) to reflect new dependency.
> - **CI/Docs:** Refines `.github/pull_request_template.md` (simplified
change types; renamed `Screenshots` section to request proof of local
tests passing).
> - **Code cleanup:** Minor formatting changes in
`LiteLLMEmbeddingEngine.py` and `get_api_auth_backend.py` with no
functional impact.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
aa4ab1ed8a. This will update automatically
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Chores**
* Added the cbor2 serialization library to project dependencies.
* **Documentation**
* Updated the pull request template: simplified change-type options,
tightened acceptance criteria, expanded the pre-submission checklist
with additional verification items, and renamed/clarified the
screenshots section to request local test evidence.
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settings.</sub>
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