dify
https://github.com/langgenius/dify
TypeScript
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
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- Issues
- refactor(web): migrate appDetail from Zustand to TanStack Query
- feat: add task type
- The knowledge base interface reports an error after migrating Dify from the test environment to the production environment.
- feat: add filtering and lookup for workflow node executions
- feat(api): add dataset-scoped API key permission validation
- If the query returns an empty result when calling the knowledge base, the entire process will terminate.
- Malformed DSL Import Creates Broken App and Crashes `/apps` Page.
- refactor: port api/controllers/console/datasets/datasets.py api/core/ops/arize_phoenix_trace/arize_phoenix_trace.py api/core/ops/langsmith_trace/entities/langsmith_trace_entity.py api/core/ops/weave_trace/entities/weave_trace_entity.py api/core/prompt/simple_prompt_transform.py api/core/rag/datasource/vdb/opensearch/opensearch_vector.py api/core/rag/extractor/extract_processor.py to match
- feat: adding input variable description field
- [Chore/Refactor] Complete decoupling of Domain Models (WorkflowExecution & WorkflowNodeExecution) from the persistence layer
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