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answer
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7753ba2d37
FEAT: NEW WORKFLOW ENGINE (#3160)
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hai 1 ano |
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code
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083ef2e6fc
improve: exract Code Node provider for each supported scripting language (#4164)
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hai 1 ano |
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end
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ff67a6d338
feat: llm text stream support for workflow app (#3798)
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hai 1 ano |
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http_request
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109aabc6f2
fix: incorrect handling when http header value contain multiple colons. (#4574)
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hai 1 ano |
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if_else
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7753ba2d37
FEAT: NEW WORKFLOW ENGINE (#3160)
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hai 1 ano |
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iteration
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e852a21634
Feat/workflow phase2 (#4687)
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hai 1 ano |
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knowledge_retrieval
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7749b71fff
Optimize knowledge retrieval performance by batching dataset quries. (#4917)
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hai 1 ano |
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llm
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8578ee0864
feat: support LLM jinja2 template prompt (#3968)
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hai 1 ano |
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loop
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e852a21634
Feat/workflow phase2 (#4687)
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hai 1 ano |
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parameter_extractor
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e852a21634
Feat/workflow phase2 (#4687)
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hai 1 ano |
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question_classifier
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21ac2afb3a
fix: question classifier instruction npe (#4931)
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hai 1 ano |
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start
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3da179f77b
feat: add conversation_id and user_id in chatflow/workflow system vars (#3771)
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hai 1 ano |
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template_transform
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083ef2e6fc
improve: exract Code Node provider for each supported scripting language (#4164)
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hai 1 ano |
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tool
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d4cd6149ac
fix: incorrect workflow max call depth (#4759)
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hai 1 ano |
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variable_aggregator
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4b91383efc
feat: workflow variable aggregator support group (#4811)
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hai 1 ano |
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__init__.py
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7753ba2d37
FEAT: NEW WORKFLOW ENGINE (#3160)
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hai 1 ano |
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base_node.py
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e852a21634
Feat/workflow phase2 (#4687)
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hai 1 ano |
JasonVV
7749b71fff
Optimize knowledge retrieval performance by batching dataset quries. (#4917)