require('CopilotChat.config').functions.vectorspace= {description='Semantic search through workspace using vector embeddings. Find relevant code with natural language queries.',schema= {type='object',properties= {query= {type='string',description='The search query to find relevant code snippets.',            },max= {type='integer',description='Maximum number of results to return.',default=10,            },        },required= {'query'},    },resolve=function(input,source)localutils=require('CopilotChat.utils')localembeddings=utils.curl_post('http://localhost:8000/query', {json_request=true,json_response=true,body= {dir=source.cwd(),text=input.query,max=tonumber(input.maxor10),            }        }).bodyutils.schedule_main()returnvim.iter(embeddings)            :map(function(embedding)embedding.filetype=utils.filetype(embedding.filename)returnembeddingend)            :filter(function(embedding)returnembedding.filetypeend)            :map(function(embedding)return {uri='file://'..embedding.filename,name=embedding.filename,mimetype=utils.filetype_to_mimetype(utils.filetype(embedding.filename)),data=embedding.text,                }end)            :totable()end,}

pipx run python-vectorspace==0.0.6