- Fix Windows process termination using taskkill instead of killpg
- Add Windows-compatible npm detection and commands
- Fix Next.js SSR error with dynamic imports
- Improve cloud API error handling for local mode
- Add frontend connection retry mechanism with 5 retries
- Fix string formatting in prompt loading
- Add cognee CLI entry point alongside cognee-cli
Resolves Windows compatibility issues and improves error handling
across CLI and frontend components.
Updated installation instructions and usage examples in README.
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output format is same as the othere adpaters get_filtered_graph_data.
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Only minimal changes are made in the file for adapter for kuzu database.
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#1436
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---------
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
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## Description
Temporary fix for MCP on main
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## Changes Made
Update Cognee version for MCP
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## Description
The async LLM client fails with non-reasoning models like gpt-4o with
the error: `Completion error: litellm.BadRequestError: OpenAIException -
Unrecognized request argument supplied: reasoning_effort`.
This PR add a sets the `drop_params` config to True to drop all
unsupported model configs instead of catching with a try-except block.
Additionally, the `reasoning_effort` wasn't being set for the sync
client. It adds the parameter for both async & sync for consistency.
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## Changes Made
- Set `litellm.drop_params=True` to auto-drop unsupported parameters
- Changed `reasoning_effort` from `extra_body` to a direct parameter
- Add `reasoning_effort` to the sync client
- Removed redundant retry for `reasoning_effort`
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## Description
Added auto tagging so that core team PRs always get the same lable
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## Description
Refactor BAML and LLMGateway to reduce code duplication and allow
dynamic response model generation for BAML
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
- Set litellm.drop_params=True to auto-drop unsupported parameters
- Changed reasoning_effort from extra_body to direct parameter
- Added reasoning_effort to both async and sync methods
- Removed redundant retry logic for unsupported parameters
- Ensures compatibility with models that don't support reasoning_effort
This fixes errors when using models that don't support the reasoning_effort
parameter while maintaining the optimization for models that do support it.
- Added AdvancedPdfLoader class for enhanced PDF processing using the unstructured library.
- Integrated fallback mechanism to PyPdfLoader in case of unstructured library import failure or exceptions.
- Updated supported loaders to include AdvancedPdfLoader.
- Added unit tests for AdvancedPdfLoader to ensure functionality and error handling.
- Updated poetry.lock and pyproject.toml to include new dependencies and versions.
Signed-off-by: EricXiao <taoiaox@gmail.com>
