Actions: 1Panel-dev/MaxKB
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Variable splitting: 1) Use jsonpath-ng.ext; 2) Cache parse result; 3) upgrade jsonpath-ng to 1.8.0.
LLM Code Review
#1659:
Pull request #4908
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1658:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1656:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1654:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1653:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1651:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1650:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1649:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1648:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1647:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1646:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1645:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1644:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1643:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1642:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1640:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1637:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1636:
Pull request #4931
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wangliang181230
Intent recognition: 1) The prompt template can be customized. 2) Output reason is configurable. 3) Show the system prompt in the execution detail.
LLM Code Review
#1635:
Pull request #4931
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wangliang181230