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embed_dim: int = Field(default=384, description="The embedding dimension.") def input_spec(self) -> List[Param]: return [ diff --git a/polymind/core_tools/llm_tool.py b/polymind/core_tools/llm_tool.py index e6b7223..1f75e36 100644 --- a/polymind/core_tools/llm_tool.py +++ b/polymind/core_tools/llm_tool.py @@ -188,6 +188,7 @@ async def _embedding(self, input: List[str]) -> np.ndarray: "method": "POST", "headers": headers, "body": body, + "dimensions": self.embed_dim, } ) # Call the RESTful API diff --git a/polymind/core_tools/tool_management_tool.py b/polymind/core_tools/tool_management_tool.py index a9f495f..1f5b1ae 100644 --- a/polymind/core_tools/tool_management_tool.py +++ b/polymind/core_tools/tool_management_tool.py @@ -19,7 +19,7 @@ class ToolIndexer(Indexer): """Indexer for the learned tools.""" tool_name: str = "tool-indexer" - learned_tool_folder: str = Field(default="knowledge/tools", description="The folder to store the learned tools.") + learned_tool_folder: str = 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