externalfunctions#

import "github.com/ansys/aali-flowkit/pkg/externalfunctions"

Index#

Variables
func AddAvailableAttributesToSystemPrompt(userDesignRequirements string, systemPromptTemplate string, allAvailableAttributes []sharedtypes.MaterialAttribute, availableSearchCriteria []string, traceID string, spanID string) (fullSystemPrompt string, childSpanID string)
func AddDataRequest(collectionName string, documentData []sharedtypes.DbData)
func AddGraphDbParameter(parameters aali_graphdb.ParameterMap, name string, value string, paramType string) aali_graphdb.ParameterMap
func AddGuidsToAttributes(criteriaSuggestions []sharedtypes.MaterialLlmCriterion, availableAttributes []sharedtypes.MaterialAttribute, traceID string, spanID string) (criteriaWithGuids []sharedtypes.MaterialCriterionWithGuid, childSpanID string)
func AecGetContextFromRetrieverModule(retrieverModuleEndpoint string, userQuery string, dataSources []string, physics []string, topK int, plattform string, retrieverModuleKey string) (context []sharedtypes.AnsysGPTRetrieverModuleChunk)
func AecPerformLLMFinalRequest(systemTemplate string, userTemplate string, query string, history []sharedtypes.HistoricMessage, context []sharedtypes.AnsysGPTRetrieverModuleChunk, prohibitedWords []string, errorList1 []string, errorList2 []string, tokenCountEndpoint string, previousInputTokenCount int, previousOutputTokenCount int, tokenCountModelName string, isStream bool, userEmail string, jwtToken string) (message string, stream *chan string)
func AisAcsSemanticHybridSearchs(acsEndpoint string, acsApiKey string, acsApiVersion string, query string, embeddedQuery []float32, indexList []string, physics []string, topK int) []sharedtypes.ACSSearchResponse
func AisChangeAcsResponsesByFactor(factors map[string]float64, semanticSearchOutput []sharedtypes.ACSSearchResponse) (changedSemanticSearchOutput []sharedtypes.ACSSearchResponse)
func AisPerformLLMRephraseRequest(systemTemplate string, userTemplate string, query string, history []sharedtypes.HistoricMessage, tokenCountModelName string) (rephrasedQuery string, inputTokenCount int, outputTokenCount int)
func AisReturnIndexList(accessPoint string, physics []string, version []string) (indexList []string)
func AnsysGPTACSSemanticHybridSearchs(acsEndpoint string, acsApiKey string, acsApiVersion string, query string, embeddedQuery []float32, indexList []string, filter map[string]string, topK int) (output []sharedtypes.ACSSearchResponse)
func AnsysGPTBuildFinalQuery(refrasedQuery string, context []sharedtypes.ACSSearchResponse) (finalQuery string, errorResponse string, displayFixedMessageToUser bool)
func AnsysGPTCheckProhibitedWords(query string, prohibitedWords []string, errorResponseMessage string) (foundProhibited bool, responseMessage string)
func AnsysGPTExtractFieldsFromQuery(query string, fieldValues map[string][]string, defaultFields []sharedtypes.AnsysGPTDefaultFields) (fields map[string]string)
func AnsysGPTGetSystemPrompt(query string, prohibitedWords []string, template string) (systemPrompt string)
func AnsysGPTPerformLLMRephraseRequest(userTemplate string, query string, history []sharedtypes.HistoricMessage, systemPrompt string) (rephrasedQuery string)
func AnsysGPTPerformLLMRephraseRequestNew(template string, query string, history []sharedtypes.HistoricMessage) (rephrasedQuery string)
func AnsysGPTPerformLLMRequest(finalQuery string, history []sharedtypes.HistoricMessage, systemPrompt string, isStream bool) (message string, stream *chan string)
func AnsysGPTRemoveNoneCitationsFromSearchResponse(semanticSearchOutput []sharedtypes.ACSSearchResponse, citations []sharedtypes.AnsysGPTCitation) (reducedSemanticSearchOutput []sharedtypes.ACSSearchResponse)
func AnsysGPTReorderSearchResponseAndReturnOnlyTopK(semanticSearchOutput []sharedtypes.ACSSearchResponse, topK int) (reorderedSemanticSearchOutput []sharedtypes.ACSSearchResponse)
func AnsysGPTReturnIndexList(indexGroups []string) (indexList []string)
func AppendMeshPilotHistory(history []map[string]string, role, content string) (updatedHistory []map[string]string)
func AppendMessageHistory(newMessage string, role AppendMessageHistoryRole, history []sharedtypes.HistoricMessage) (updatedHistory []sharedtypes.HistoricMessage)
func AppendStringSlices(slice1, slice2, slice3, slice4, slice5 []string) []string
func AppendToolHistory(toolHistory []map[string]string, toolId, toolName, toolArguments, toolResponse string) (updatedToolHistory []map[string]string)
func AssignStringToString(inputString string) (outputString string)
func BuildFinalQueryForCodeLLMRequest(request string, knowledgedbResponse []sharedtypes.DbResponse) (finalQuery string)
func BuildFinalQueryForGeneralLLMRequest(request string, knowledgedbResponse []sharedtypes.DbResponse) (finalQuery string)
func BuildLibraryContext(message string, libraryContext string) (messageWithContext string)
func CastAnyToBool(data any) bool
func CastAnyToByte(data any) byte
func CastAnyToComplex128(data any) complex128
func CastAnyToComplex64(data any) complex64
func CastAnyToFloat32(data any) float32
func CastAnyToFloat64(data any) float64
func CastAnyToInt(data any) int
func CastAnyToInt16(data any) int16
func CastAnyToInt32(data any) int32
func CastAnyToInt64(data any) int64
func CastAnyToInt8(data any) int8
func CastAnyToInterface(data any) interface{}
func CastAnyToRune(data any) rune
func CastAnyToString(data any) string
func CastAnyToUint(data any) uint
func CastAnyToUint16(data any) uint16
func CastAnyToUint32(data any) uint32
func CastAnyToUint64(data any) uint64
func CastAnyToUint8(data any) uint8
func CastArrayMapStringAnyToAny(data []map[string]any) any
func CastBoolToAny(data bool) any
func CastByteToAny(data byte) any
func CastComplex128ToAny(data complex128) any
func CastComplex64ToAny(data complex64) any
func CastFloat32ToAny(data float32) any
func CastFloat64ToAny(data float64) any
func CastInt16ToAny(data int16) any
func CastInt32ToAny(data int32) any
func CastInt64ToAny(data int64) any
func CastInt8ToAny(data int8) any
func CastIntToAny(data int) any
func CastInterfaceToAny(data interface{}) any
func CastRuneToAny(data rune) any
func CastStringToAny(data string) any
func CastUint16ToAny(data uint16) any
func CastUint32ToAny(data uint32) any
func CastUint64ToAny(data uint64) any
func CastUint8ToAny(data uint8) any
func CastUintToAny(data uint) any
func CheckApiKeyAuthKvDb(kvdbEndpoint string, apiKey string, traceID string, spanID string) (isAuthenticated bool, childSpanID string)
func CheckApiKeyAuthMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (isAuthenticated bool)
func CheckCreateUserIdMongoDb(userId string, temporaryTokenLimit int, hoursUntilTokenLimitReset int, modelId []string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (existingUser bool)
func CheckTokenLimitReached(query string, tokenLimit int, modelName string, tokenLimitMessage string) (tokenLimitReached bool, responseMessage string)
func CreateChildSpan(ctx *logging.ContextMap, traceID string, parentSpanID string) (childSpanID string)
func CreateCollectionRequest(collectionName string, vectorSize uint64, vectorDistance string)
func CreateDbFilter(guid []string, documentId []string, documentName []string, level []string, tags sharedtypes.DbArrayFilter, keywords sharedtypes.DbArrayFilter, metadata []sharedtypes.DbJsonFilter) (databaseFilter sharedtypes.DbFilters)
func CreateEmbeddings(dense bool, sparse bool, colbert bool, isDocument bool, passages []string) (dense_vector [][]float32, lexical_weights []map[uint]float32, colbert_vecs [][][]float32, func_error error)
func CreateGeneralDataExtractionDocumentObjects(documentName string, documentChunks []string, denseEmbeddings [][]float32, sparseEmbeddings []map[uint]float32) (extractionData []interface{})
func CreateKeywordsDbFilter(keywords []string, needAll bool) (databaseFilter sharedtypes.DbArrayFilter)
func CreateMessageWithVariable(message string, variable string) (updatedMessage string)
func CreateMetadataDbFilter(fieldName string, fieldType string, filterData []string, needAll bool) (databaseFilter sharedtypes.DbJsonFilter)
func CreateTagsDbFilter(tags []string, needAll bool) (databaseFilter sharedtypes.DbArrayFilter)
func DenyCustomerAccessAndSendWarningKvDb(kvdbEndpoint string, apiKey string, traceID string, spanID string) (customerName string, sendWarning bool, childSpanID string)
func DenyCustomerAccessAndSendWarningMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (customerName string, sendWarning bool)
func DenyCustomerAccessAndSendWarningMongoDbUserId(userId string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (sendWarning bool)
func DownloadGithubFileContent(githubRepoName string, githubRepoOwner string, githubRepoBranch string, gihubFilePath string, githubAccessToken string) (checksum string, content []byte)
func DownloadGithubFilesContent(githubRepoName string, githubRepoOwner string, githubRepoBranch string, gihubFilePaths []string, githubAccessToken string) (filesMap map[string][]byte)
func ExecuteTool(serverURL, toolName string, args map[string]interface{}) (map[string]interface{}, error)
func ExtractCriteriaSuggestions(llmResponse string, traceID string, spanID string) (criteriaSuggestions []sharedtypes.MaterialLlmCriterion, childSpanID string)
func ExtractDesignRequirementsAndSearchCriteria(userInput string, traceID string, spanID string) (designRequirements string, availableSearchCriteria []string, childSpanID string)
func ExtractJSONStringField(jsonStr string, keyPath string) string
func ExtractJson(text string, traceID string, spanID string) (json string, childSpanID string)
func FetchActionsPathFromPathDescription(db_name, description, nodeLabel string) (actions []map[string]string)
func FetchNodeDescriptionsFromPathDescription(db_name, description string) (actionDescriptions string)
func FetchPropertiesFromPathDescription(db_name, description string) (properties []string)
func FilterOutDuplicateAttributes(criteriaSuggestions []sharedtypes.MaterialLlmCriterion, traceID string, spanID string) (filtered []sharedtypes.MaterialLlmCriterion, childSpanID string)
func FilterOutNonExistingAttributes(criteriaSuggestions []sharedtypes.MaterialCriterionWithGuid, availableSearchCriteria []string, traceID string, spanID string) (filtered []sharedtypes.MaterialCriterionWithGuid, childSpanID string)
func FinalizeMessage(message string) (result string)
func FinalizeResult(actions []map[string]string, toolName string) (result string)
func FindRelevantPathDescription(descriptions []string, message string) (relevantDescription string)
func GeneralGraphDbQuery(query string, parameters aali_graphdb.ParameterMap) []map[string]any
func GeneralQuery(collectionName string, maxRetrievalCount int, outputFields []string, filters sharedtypes.DbFilters) (databaseResponse []sharedtypes.DbResponse)
func GenerateActionsSubWorkflowPrompt(userInstruction string) (systemPrompt string, userPrompt string)
func GenerateDocumentTree(documentName string, documentId string, documentChunks []string, embeddingsDimensions int, getSummary bool, getKeywords bool, numKeywords int, chunkSize int, numLlmWorkers int) (returnedDocumentData []sharedtypes.DbData)
func GenerateHelperSubWorkflowPrompt(userInstruction string) (systemPrompt string, userPrompt string)
func GenerateUUID() string
func GenerateUserPrompt(userInstruction string, userPromptTemplate string) (userPrompt string)
func GenerateUserPromptWithContext(userInstruction string, context string, userPromptTemplate string) (userPrompt string)
func GenerateUserPromptWithList(userInstruction string, userList []string, userPromptTemplate string) (userPrompt string)
func GetActionsFromConfig(toolName string) (result string)
func GetDocumentType(filePath string) (documentType string)
func GetGithubFilesToExtract(githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string, githubFileExtensions []string, githubFilteredDirectories []string, githubExcludedDirectories []string) (githubFilesToExtract []string)
func GetListCollections() (collectionsList []string)
func GetLocalFileContent(localFilePath string) (checksum string, content []byte)
func GetLocalFilesContent(localFilePaths []string) (filesMap map[string][]byte)
func GetLocalFilesToExtract(localPath string, localFileExtensions []string, localFilteredDirectories []string, localExcludedDirectories []string) (localFilesToExtract []string)
func GetResource(serverURL, resourceName string) (map[string]interface{}, error)
func GetSelectedSolution(arguments string) (solution string)
func GetSolutionsToFixProblem(db_name, fmFailureCode, primeMeshFailureCode string) (solutions string)
func GetSystemPrompt(serverURL, promptName string) (string, error)
func JsonPath(pat string, data any, oneResult bool) any
func LangchainSplitter(bytesContent []byte, documentType string, chunkSize int, chunkOverlap int) (output []string)
func ListAll(serverURL string) (map[string][]string, error)
func LoadAndCheckExampleDependencies(dependenciesContent []byte, elements []sharedtypes.CodeGenerationElement, instancesReplacementDict map[string]string, InstancesReplacementPriorityList []string) (checkedDependenciesMap map[string][]string, equivalencesMap map[string]map[string]string)
func LoadCodeGenerationElements(content []byte, elementsFilePath string) (elements []sharedtypes.CodeGenerationElement)
func LoadCodeGenerationExamples(source string, examplesToExtract []string, githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string, dependencies map[string][]string, equivalencesMap map[string]map[string]string, chunkSize int, chunkOverlap int) (examples []sharedtypes.CodeGenerationExample)
func LoadUserGuideSections(source string, sectionFilePaths []string, githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string) (sections []sharedtypes.CodeGenerationUserGuideSection)
func LogRequestFailed(traceID string, spanID string) (childSpanID string)
func LogRequestFailedDebugWithMessage(msg1, msg2 string, traceID string, spanID string) (childSpanID string)
func LogRequestSuccess(traceID string, spanID string) (childSpanID string)
func MarkdownToHTML(markdown string) (html string)
func ParseHistory(historyJson string) (history []map[string]string)
func ParseHistoryToHistoricMessages(historyJson string) (history []sharedtypes.HistoricMessage)
func PerformBatchEmbeddingRequest(input []string) (embeddedVectors [][]float32)
func PerformBatchHybridEmbeddingRequest(input []string, maxBatchSize int) (denseEmbeddings [][]float32, sparseEmbeddings []map[uint]float32)
func PerformCodeLLMRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, validateCode bool) (message string, stream *chan string)
func PerformGeneralModelSpecificationRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt map[string]string, modelIds []string) (message string, stream *chan string)
func PerformGeneralRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string) (message string, stream *chan string)
func PerformGeneralRequestNoStreaming(input string, history []sharedtypes.HistoricMessage, systemPrompt string) (message string)
func PerformGeneralRequestSpecificModel(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string) (message string, stream *chan string)
func PerformGeneralRequestSpecificModelAndModelOptions(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions) (message string, stream *chan string)
func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, tokenCountModelName string) (message string, inputTokenCount int, outputTokenCount int)
func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, tokenCountModelName string) (message string, tokenCount int)
func PerformGeneralRequestSpecificModelModelOptionsAndImages(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, images []string) (message string, stream *chan string)
func PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, tokenCountModelName string) (message string, tokenCount int)
func PerformGeneralRequestWithImages(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, images []string) (message string, stream *chan string)
func PerformKeywordExtractionRequest(input string, maxKeywordsSearch uint32) (keywords []string)
func PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, tokenCountModelName string, n int, traceID string, spanID string) (uniqueCriterion []sharedtypes.MaterialLlmCriterion, tokenCount int, childSpanID string)
func PerformSummaryRequest(input string) (summary string)
func PerformVectorEmbeddingRequest(input string) (embeddedVector []float32)
func PerformVectorEmbeddingRequestWithTokenLimitCatch(input string, tokenLimitMessage string) (embeddedVector []float32, tokenLimitReached bool, responseMessage string)
func PrintFeedback(feedback sharedtypes.Feedback)
func ProcessMainAgentOutput(llmOutput string) (messageTo string, message string)
func ProcessSubworkflowIdentificationOutput(llmOutput string) (status string, workflowName string)
func QdrantCreateCollection(collectionName string, vectorSize uint64, vectorDistance string)
func QdrantCreateIndex(collectionName string, fieldName string, fieldType string, wait bool)
func QdrantInsertData(collectionName string, data []interface{}, idFieldName string, vectorFieldName string)
func RetrieveDependencies(relationshipName string, relationshipDirection string, sourceDocumentId string, nodeTypesFilter sharedtypes.DbArrayFilter, maxHopsNumber int) (dependenciesIds []string)
func SelectedSolution(selectedSolution string) (solution string)
func SendLogicAppNotificationEmail(logicAppEndpoint string, email string, subject string, content string)
func SendRestAPICall(requestType string, endpoint string, header map[string]string, query map[string]string, jsonBody string) (success bool, returnJsonBody string)
func SendVectorsToKnowledgeDB(vector []float32, keywords []string, keywordsSearch bool, collection string, similaritySearchResults int, similaritySearchMinScore float64) (databaseResponse []sharedtypes.DbResponse)
func SerializeResponse(criteriaSuggestions []sharedtypes.MaterialCriterionWithGuid, tokens int, traceID string, spanID string) (result string, childSpanID string)
func SetCopilotGenerateRequestJsonBody(query string, sessionID string, mode string, timeout int, priority int, agentPreference string, saveIntermediate bool, similarityTopK int, noCritique bool, maxIterations int, forceAzure bool) (jsonBody string)
func ShortenMessageHistory(history []sharedtypes.HistoricMessage, maxLength int) (updatedHistory []sharedtypes.HistoricMessage)
func SimilaritySearch(collectionName string, embeddedVector []float32, maxRetrievalCount int, filters sharedtypes.DbFilters, minScore float64, getLeafNodes bool, getSiblings bool, getParent bool, getChildren bool) (databaseResponse []sharedtypes.DbResponse)
func SimilartitySearchOnPathDescriptions(instruction string, toolName string) (descriptions []string)
func SimilartitySearchOnPathDescriptionsQdrant(vector []float32, collection string, similaritySearchResults int, similaritySearchMinScore float64) (descriptions []string)
func StartTrace() (traceID string, spanID string)
func StoreElementsInGraphDatabase(elements []sharedtypes.CodeGenerationElement)
func StoreElementsInVectorDatabase(elements []sharedtypes.CodeGenerationElement, elementsCollectionName string, batchSize int, vectorDistance string)
func StoreExamplesInGraphDatabase(examples []sharedtypes.CodeGenerationExample)
func StoreExamplesInVectorDatabase(examples []sharedtypes.CodeGenerationExample, examplesCollectionName string, batchSize int, vectorDistance string)
func StoreUserGuideSectionsInGraphDatabase(sections []sharedtypes.CodeGenerationUserGuideSection)
func StoreUserGuideSectionsInVectorDatabase(sections []sharedtypes.CodeGenerationUserGuideSection, userGuideCollectionName string, batchSize int, chunkSize int, chunkOverlap int, vectorDistance string)
func StringConcat(a string, b string, separator string) string
func StringFormat(data any, format string) string
func SynthesizeActions(message string, properties []string, actions []map[string]string) (updatedActions []map[string]string)
func SynthesizeActionsTool11(content string) (result string)
func SynthesizeActionsTool12(content string) (result string)
func SynthesizeActionsTool17(content string) (result string)
func SynthesizeActionsTool2(message string, actions []map[string]string) (updatedActions []map[string]string)
func UpdateTotalTokenCountForCustomerKvDb(kvdbEndpoint string, apiKey string, additionalTokenCount int, traceID string, spanID string) (tokenLimitReached bool, childSpanID string)
func UpdateTotalTokenCountForCustomerMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string, additionalTokenCount int) (tokenLimitReached bool)
func UpdateTotalTokenCountForUserIdMongoDb(userId string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string, additionalInputTokenCount int, additionalOutputTokenCount int, hoursUntilTokenLimitReset int) (tokenLimitReached bool)
type ACSSearchRequest
type ACSSearchResponseALH
type ACSSearchResponseCrtech
type ACSSearchResponseLSdyna
type ACSSearchResponseStruct
type ACSSearchResponseStructALH
type ACSSearchResponseStructCrtech
type ACSSearchResponseStructLSdyna
type ACSVectorQuery
type AnsysGPTRetrieverModuleRequest
type AppendMessageHistoryRole
type DataExtractionBranch
type DataExtractionLLMInputChannelItem
type DataExtractionSplitterServiceRequest
type DataExtractionSplitterServiceResponse
type EmailRequest
type GeneralDataExtractionDocument
type LlmCriteria
type MongoDbContext
type MongoDbCustomerObject
type MongoDbCustomerObjectDisco
type Response
type TokenCountUpdateRequest

Variables#

var ExternalFunctionsMap = map[string]interface{}{

    "PerformVectorEmbeddingRequest":                                                             PerformVectorEmbeddingRequest,
    "PerformVectorEmbeddingRequestWithTokenLimitCatch":                                          PerformVectorEmbeddingRequestWithTokenLimitCatch,
    "PerformBatchEmbeddingRequest":                                                              PerformBatchEmbeddingRequest,
    "PerformBatchHybridEmbeddingRequest":                                                        PerformBatchHybridEmbeddingRequest,
    "PerformKeywordExtractionRequest":                                                           PerformKeywordExtractionRequest,
    "PerformGeneralRequest":                                                                     PerformGeneralRequest,
    "PerformGeneralRequestWithImages":                                                           PerformGeneralRequestWithImages,
    "PerformGeneralModelSpecificationRequest":                                                   PerformGeneralModelSpecificationRequest,
    "PerformGeneralRequestSpecificModel":                                                        PerformGeneralRequestSpecificModel,
    "PerformGeneralRequestSpecificModelAndModelOptions":                                         PerformGeneralRequestSpecificModelAndModelOptions,
    "PerformGeneralRequestSpecificModelModelOptionsAndImages":                                   PerformGeneralRequestSpecificModelModelOptionsAndImages,
    "PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput":                           PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput,
    "PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput":            PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput,
    "PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput": PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput,
    "PerformCodeLLMRequest":                                                                     PerformCodeLLMRequest,
    "PerformGeneralRequestNoStreaming":                                                          PerformGeneralRequestNoStreaming,
    "BuildLibraryContext":                                                                       BuildLibraryContext,
    "BuildFinalQueryForGeneralLLMRequest":                                                       BuildFinalQueryForGeneralLLMRequest,
    "BuildFinalQueryForCodeLLMRequest":                                                          BuildFinalQueryForCodeLLMRequest,
    "AppendMessageHistory":                                                                      AppendMessageHistory,
    "ShortenMessageHistory":                                                                     ShortenMessageHistory,
    "CheckTokenLimitReached":                                                                    CheckTokenLimitReached,

    "SendVectorsToKnowledgeDB": SendVectorsToKnowledgeDB,
    "GetListCollections":       GetListCollections,
    "RetrieveDependencies":     RetrieveDependencies,
    "GeneralGraphDbQuery":      GeneralGraphDbQuery,
    "AddGraphDbParameter":      AddGraphDbParameter,
    "GeneralQuery":             GeneralQuery,
    "SimilaritySearch":         SimilaritySearch,
    "CreateKeywordsDbFilter":   CreateKeywordsDbFilter,
    "CreateTagsDbFilter":       CreateTagsDbFilter,
    "CreateMetadataDbFilter":   CreateMetadataDbFilter,
    "CreateDbFilter":           CreateDbFilter,

    "AnsysGPTCheckProhibitedWords":                   AnsysGPTCheckProhibitedWords,
    "AnsysGPTExtractFieldsFromQuery":                 AnsysGPTExtractFieldsFromQuery,
    "AnsysGPTPerformLLMRephraseRequest":              AnsysGPTPerformLLMRephraseRequest,
    "AnsysGPTPerformLLMRephraseRequestNew":           AnsysGPTPerformLLMRephraseRequestNew,
    "AnsysGPTBuildFinalQuery":                        AnsysGPTBuildFinalQuery,
    "AnsysGPTPerformLLMRequest":                      AnsysGPTPerformLLMRequest,
    "AnsysGPTReturnIndexList":                        AnsysGPTReturnIndexList,
    "AnsysGPTACSSemanticHybridSearchs":               AnsysGPTACSSemanticHybridSearchs,
    "AnsysGPTRemoveNoneCitationsFromSearchResponse":  AnsysGPTRemoveNoneCitationsFromSearchResponse,
    "AnsysGPTReorderSearchResponseAndReturnOnlyTopK": AnsysGPTReorderSearchResponseAndReturnOnlyTopK,
    "AnsysGPTGetSystemPrompt":                        AnsysGPTGetSystemPrompt,
    "AisPerformLLMRephraseRequest":                   AisPerformLLMRephraseRequest,
    "AisReturnIndexList":                             AisReturnIndexList,
    "AisAcsSemanticHybridSearchs":                    AisAcsSemanticHybridSearchs,
    "AisChangeAcsResponsesByFactor":                  AisChangeAcsResponsesByFactor,
    "AecGetContextFromRetrieverModule":               AecGetContextFromRetrieverModule,
    "AecPerformLLMFinalRequest":                      AecPerformLLMFinalRequest,

    "GetGithubFilesToExtract":                    GetGithubFilesToExtract,
    "GetLocalFilesToExtract":                     GetLocalFilesToExtract,
    "AppendStringSlices":                         AppendStringSlices,
    "DownloadGithubFileContent":                  DownloadGithubFileContent,
    "GetLocalFileContent":                        GetLocalFileContent,
    "GetDocumentType":                            GetDocumentType,
    "LangchainSplitter":                          LangchainSplitter,
    "GenerateDocumentTree":                       GenerateDocumentTree,
    "AddDataRequest":                             AddDataRequest,
    "CreateCollectionRequest":                    CreateCollectionRequest,
    "CreateGeneralDataExtractionDocumentObjects": CreateGeneralDataExtractionDocumentObjects,

    "AssignStringToString":   AssignStringToString,
    "SendRestAPICall":        SendRestAPICall,
    "PrintFeedback":          PrintFeedback,
    "ExtractJSONStringField": ExtractJSONStringField,
    "GenerateUUID":           GenerateUUID,
    "JsonPath":               JsonPath,
    "StringConcat":           StringConcat,
    "StringFormat":           StringFormat,

    "LoadCodeGenerationElements":      LoadCodeGenerationElements,
    "LoadCodeGenerationExamples":      LoadCodeGenerationExamples,
    "LoadAndCheckExampleDependencies": LoadAndCheckExampleDependencies,
    "LoadUserGuideSections":           LoadUserGuideSections,

    "StoreElementsInVectorDatabase":          StoreElementsInVectorDatabase,
    "StoreElementsInGraphDatabase":           StoreElementsInGraphDatabase,
    "StoreExamplesInVectorDatabase":          StoreExamplesInVectorDatabase,
    "StoreExamplesInGraphDatabase":           StoreExamplesInGraphDatabase,
    "StoreUserGuideSectionsInVectorDatabase": StoreUserGuideSectionsInVectorDatabase,
    "StoreUserGuideSectionsInGraphDatabase":  StoreUserGuideSectionsInGraphDatabase,

    "SimilartitySearchOnPathDescriptions":       SimilartitySearchOnPathDescriptions,
    "FindRelevantPathDescription":               FindRelevantPathDescription,
    "FetchPropertiesFromPathDescription":        FetchPropertiesFromPathDescription,
    "FetchNodeDescriptionsFromPathDescription":  FetchNodeDescriptionsFromPathDescription,
    "FetchActionsPathFromPathDescription":       FetchActionsPathFromPathDescription,
    "SynthesizeActions":                         SynthesizeActions,
    "FinalizeResult":                            FinalizeResult,
    "GetSolutionsToFixProblem":                  GetSolutionsToFixProblem,
    "GetSelectedSolution":                       GetSelectedSolution,
    "AppendToolHistory":                         AppendToolHistory,
    "AppendMeshPilotHistory":                    AppendMeshPilotHistory,
    "GetActionsFromConfig":                      GetActionsFromConfig,
    "ParseHistory":                              ParseHistory,
    "SynthesizeActionsTool2":                    SynthesizeActionsTool2,
    "SynthesizeActionsTool11":                   SynthesizeActionsTool11,
    "SynthesizeActionsTool12":                   SynthesizeActionsTool12,
    "SynthesizeActionsTool17":                   SynthesizeActionsTool17,
    "SimilartitySearchOnPathDescriptionsQdrant": SimilartitySearchOnPathDescriptionsQdrant,
    "GenerateActionsSubWorkflowPrompt":          GenerateActionsSubWorkflowPrompt,
    "ProcessSubworkflowIdentificationOutput":    ProcessSubworkflowIdentificationOutput,
    "MarkdownToHTML":                            MarkdownToHTML,
    "ParseHistoryToHistoricMessages":            ParseHistoryToHistoricMessages,
    "FinalizeMessage":                           FinalizeMessage,
    "GenerateUserPrompt":                        GenerateUserPrompt,
    "GenerateUserPromptWithList":                GenerateUserPromptWithList,
    "GenerateUserPromptWithContext":             GenerateUserPromptWithContext,
    "SelectedSolution":                          SelectedSolution,
    "ProcessMainAgentOutput":                    ProcessMainAgentOutput,
    "GenerateHelperSubWorkflowPrompt":           GenerateHelperSubWorkflowPrompt,

    "QdrantCreateCollection": QdrantCreateCollection,
    "QdrantInsertData":       QdrantInsertData,

    "CheckApiKeyAuthMongoDb":                        CheckApiKeyAuthMongoDb,
    "CheckCreateUserIdMongoDb":                      CheckCreateUserIdMongoDb,
    "UpdateTotalTokenCountForCustomerMongoDb":       UpdateTotalTokenCountForCustomerMongoDb,
    "UpdateTotalTokenCountForUserIdMongoDb":         UpdateTotalTokenCountForUserIdMongoDb,
    "DenyCustomerAccessAndSendWarningMongoDb":       DenyCustomerAccessAndSendWarningMongoDb,
    "DenyCustomerAccessAndSendWarningMongoDbUserId": DenyCustomerAccessAndSendWarningMongoDbUserId,
    "SendLogicAppNotificationEmail":                 SendLogicAppNotificationEmail,
    "CreateMessageWithVariable":                     CreateMessageWithVariable,

    "ListAll":         ListAll,
    "ExecuteTool":     ExecuteTool,
    "GetResource":     GetResource,
    "GetSystemPrompt": GetSystemPrompt,

    "StartTrace":                       StartTrace,
    "SerializeResponse":                SerializeResponse,
    "AddGuidsToAttributes":             AddGuidsToAttributes,
    "FilterOutNonExistingAttributes":   FilterOutNonExistingAttributes,
    "FilterOutDuplicateAttributes":     FilterOutDuplicateAttributes,
    "ExtractCriteriaSuggestions":       ExtractCriteriaSuggestions,
    "LogRequestSuccess":                LogRequestSuccess,
    "LogRequestFailed":                 LogRequestFailed,
    "LogRequestFailedDebugWithMessage": LogRequestFailedDebugWithMessage,
    "PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput": PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput,
    "CheckApiKeyAuthKvDb":                        CheckApiKeyAuthKvDb,
    "UpdateTotalTokenCountForCustomerKvDb":       UpdateTotalTokenCountForCustomerKvDb,
    "DenyCustomerAccessAndSendWarningKvDb":       DenyCustomerAccessAndSendWarningKvDb,
    "AddAvailableAttributesToSystemPrompt":       AddAvailableAttributesToSystemPrompt,
    "ExtractDesignRequirementsAndSearchCriteria": ExtractDesignRequirementsAndSearchCriteria,

    "SetCopilotGenerateRequestJsonBody": SetCopilotGenerateRequestJsonBody,
}

func AddAvailableAttributesToSystemPrompt#

func AddAvailableAttributesToSystemPrompt(userDesignRequirements string, systemPromptTemplate string, allAvailableAttributes []sharedtypes.MaterialAttribute, availableSearchCriteria []string, traceID string, spanID string) (fullSystemPrompt string, childSpanID string)

AddAvailableAttributesToSystemPrompt adds available attributes to the system prompt template.

Tags:

@displayName: Add Available Attributes to System Prompt

Parameters:

userDesignRequirements: design requirements provided by the user
systemPromptTemplate: the prompt template string to modify
allAvailableAttributes: the list of all available attributes
availableSearchCriteria: the list of available search criteria (GUIDs)
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

fullSystemPrompt: the full system prompt to send to the LLM, including available attributes
childSpanID: the child span ID created for this operation

func AddDataRequest#

func AddDataRequest(collectionName string, documentData []sharedtypes.DbData)

AddDataRequest sends a request to the add_data endpoint.

Tags:

@displayName: Add Data

Parameters:

collectionName: name of the collection the request is sent to.
data: the data to add.

func AddGraphDbParameter#

func AddGraphDbParameter(parameters aali_graphdb.ParameterMap, name string, value string, paramType string) aali_graphdb.ParameterMap

AddGraphDbParameter adds a new GraphDbParameter to a map[string]GraphDbParameter

Tags:

@displayName: Add Graph DB Parameter

Parameters:

parameters: the existing collection of parameters
name: the name of the new parameter
value: the value of the new parameter
paramType: the type of the new parameter

Returns:

The original parameters with the new one added

func AddGuidsToAttributes#

func AddGuidsToAttributes(criteriaSuggestions []sharedtypes.MaterialLlmCriterion, availableAttributes []sharedtypes.MaterialAttribute, traceID string, spanID string) (criteriaWithGuids []sharedtypes.MaterialCriterionWithGuid, childSpanID string)

AddGuidsToAttributes adds GUIDs to the attributes in the criteria

Tags:

@displayName: Add GUIDs to criteria suggestions

Parameters:

criteriaSuggestions: the list of criteria without identities
availableAttributes: the list of available attributes with their identities
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

criteriaWithGuids: the list of criteria with their identities
childSpanID: the child span ID created for this operation

func AecGetContextFromRetrieverModule#

func AecGetContextFromRetrieverModule(retrieverModuleEndpoint string, userQuery string, dataSources []string, physics []string, topK int, plattform string, retrieverModuleKey string) (context []sharedtypes.AnsysGPTRetrieverModuleChunk)

AecGetContextFromRetrieverModule retrieves context from the Ansys GPT Retriever Module

Tags:

@displayName: AEC Get Context from Retriever Module

Parameters:

retrieverModuleEndpoint: the endpoint of the retriever module
userQuery: the user query
dataSources: the data sources
physics: the physics
topK: the number of results to be returned
plattform: the platform
retrieverModuleKey: the key for the retriever module

Returns:

context: the context retrieved from the retriever module

func AecPerformLLMFinalRequest#

func AecPerformLLMFinalRequest(systemTemplate string, userTemplate string, query string, history []sharedtypes.HistoricMessage, context []sharedtypes.AnsysGPTRetrieverModuleChunk, prohibitedWords []string, errorList1 []string, errorList2 []string, tokenCountEndpoint string, previousInputTokenCount int, previousOutputTokenCount int, tokenCountModelName string, isStream bool, userEmail string, jwtToken string) (message string, stream *chan string)

AecPerformLLMFinalRequest performs a final request to LLM

Tags:

@displayName: AEC Final Request

Parameters:

systemTemplate: the system template for the final request
userTemplate: the user template for the final request
query: the user query
history: the conversation history
prohibitedWords: the list of prohibited words
errorList1: the list of error words
errorList2: the list of error words

Returns:

stream: the stream channel

func AisAcsSemanticHybridSearchs#

func AisAcsSemanticHybridSearchs(acsEndpoint string, acsApiKey string, acsApiVersion string, query string, embeddedQuery []float32, indexList []string, physics []string, topK int) []sharedtypes.ACSSearchResponse

AisAcsSemanticHybridSearchs performs a semantic hybrid search in ACS

Tags:

@displayName: AIS ACS Semantic Hybrid Search

Parameters:

query: the query string
embeddedQuery: the embedded query
indexList: the index list
physics: the physics
topK: the number of results to be returned

Returns:

output: the search results

func AisChangeAcsResponsesByFactor#

func AisChangeAcsResponsesByFactor(factors map[string]float64, semanticSearchOutput []sharedtypes.ACSSearchResponse) (changedSemanticSearchOutput []sharedtypes.ACSSearchResponse)

AisChangeAcsResponsesByFactor changes the ACS responses by a factor

Tags:

@displayName: Change ACS Responses By Factor

Parameters:

factors: the factors
semanticSearchOutput: the search response

Returns:

changedSemanticSearchOutput: the changed search response

func AisPerformLLMRephraseRequest#

func AisPerformLLMRephraseRequest(systemTemplate string, userTemplate string, query string, history []sharedtypes.HistoricMessage, tokenCountModelName string) (rephrasedQuery string, inputTokenCount int, outputTokenCount int)

AisPerformLLMRephraseRequest performs a rephrase request to LLM

Tags:

@displayName: AIS Rephrase Request

Parameters:

systemTemplate: the system template for the rephrase request
userTemplate: the user template for the rephrase request
query: the user query
history: the conversation history

Returns:

rephrasedQuery: the rephrased query

func AisReturnIndexList#

func AisReturnIndexList(accessPoint string, physics []string, version []string) (indexList []string)

AisReturnIndexList returns the index list for AIS

Tags:

@displayName: Get AIS Index List

Parameters:

accessPoint: the access point

Returns:

indexList: the index list

func AnsysGPTACSSemanticHybridSearchs#

func AnsysGPTACSSemanticHybridSearchs(acsEndpoint string, acsApiKey string, acsApiVersion string, query string, embeddedQuery []float32, indexList []string, filter map[string]string, topK int) (output []sharedtypes.ACSSearchResponse)

AnsysGPTACSSemanticHybridSearchs performs a semantic hybrid search in ACS

Tags:

@displayName: ACS Semantic Hybrid Search

Parameters:

query: the query string
embeddedQuery: the embedded query
indexList: the index list
typeOfAsset: the type of asset
physics: the physics
product: the product
productMain: the main product
filter: the filter
filterAfterVectorSearch: the flag to define the filter order
returnedProperties: the properties to be returned
topK: the number of results to be returned from vector search
searchedEmbeddedFields: the ACS fields to be searched

Returns:

output: the search results

func AnsysGPTBuildFinalQuery#

func AnsysGPTBuildFinalQuery(refrasedQuery string, context []sharedtypes.ACSSearchResponse) (finalQuery string, errorResponse string, displayFixedMessageToUser bool)

AnsysGPTBuildFinalQuery builds the final query for Ansys GPT

Tags:

@displayName: Build Final Query

Parameters:

refrasedQuery: the refrased query
context: the context

Returns:

finalQuery: the final query

func AnsysGPTCheckProhibitedWords#

func AnsysGPTCheckProhibitedWords(query string, prohibitedWords []string, errorResponseMessage string) (foundProhibited bool, responseMessage string)

AnsysGPTCheckProhibitedWords checks the user query for prohibited words

Tags:

@displayName: Check Prohibited Words

Parameters:

query: the user query
prohibitedWords: the list of prohibited words
errorResponseMessage: the error response message

Returns:

foundProhibited: the flag indicating whether prohibited words were found
responseMessage: the response message

func AnsysGPTExtractFieldsFromQuery#

func AnsysGPTExtractFieldsFromQuery(query string, fieldValues map[string][]string, defaultFields []sharedtypes.AnsysGPTDefaultFields) (fields map[string]string)

AnsysGPTExtractFieldsFromQuery extracts the fields from the user query

Tags:

@displayName: Extract Fields

Parameters:

query: the user query
fieldValues: the field values that the user query can contain
defaultFields: the default fields that the user query can contain

Returns:

fields: the extracted fields

func AnsysGPTGetSystemPrompt#

func AnsysGPTGetSystemPrompt(query string, prohibitedWords []string, template string) (systemPrompt string)

AnsysGPTGetSystemPrompt returns the system prompt for Ansys GPT

Tags:

@displayName: Get System Prompt

Parameters:

rephrasedQuery: the rephrased query

Returns:

systemPrompt: the system prompt

func AnsysGPTPerformLLMRephraseRequest#

func AnsysGPTPerformLLMRephraseRequest(userTemplate string, query string, history []sharedtypes.HistoricMessage, systemPrompt string) (rephrasedQuery string)

AnsysGPTPerformLLMRephraseRequest performs a rephrase request to LLM

Tags:

@displayName: Rephrase Request

Parameters:

template: the template for the rephrase request
query: the user query
history: the conversation history

Returns:

rephrasedQuery: the rephrased query

func AnsysGPTPerformLLMRephraseRequestNew#

func AnsysGPTPerformLLMRephraseRequestNew(template string, query string, history []sharedtypes.HistoricMessage) (rephrasedQuery string)

AnsysGPTPerformLLMRephraseRequestNew performs a rephrase request to LLM

Tags:

@displayName: Rephrase Request New

Parameters:

template: the template for the rephrase request
query: the user query
history: the conversation history

Returns:

rephrasedQuery: the rephrased query

func AnsysGPTPerformLLMRequest#

func AnsysGPTPerformLLMRequest(finalQuery string, history []sharedtypes.HistoricMessage, systemPrompt string, isStream bool) (message string, stream *chan string)

AnsysGPTPerformLLMRequest performs a request to Ansys GPT

Tags:

@displayName: LLM Request

Parameters:

finalQuery: the final query
history: the conversation history
systemPrompt: the system prompt

Returns:

stream: the stream channel

func AnsysGPTRemoveNoneCitationsFromSearchResponse#

func AnsysGPTRemoveNoneCitationsFromSearchResponse(semanticSearchOutput []sharedtypes.ACSSearchResponse, citations []sharedtypes.AnsysGPTCitation) (reducedSemanticSearchOutput []sharedtypes.ACSSearchResponse)

AnsysGPTRemoveNoneCitationsFromSearchResponse removes none citations from search response

Tags:

@displayName: Remove None Citations

Parameters:

semanticSearchOutput: the search response
citations: the citations

Returns:

reducedSemanticSearchOutput: the reduced search response

func AnsysGPTReorderSearchResponseAndReturnOnlyTopK#

func AnsysGPTReorderSearchResponseAndReturnOnlyTopK(semanticSearchOutput []sharedtypes.ACSSearchResponse, topK int) (reorderedSemanticSearchOutput []sharedtypes.ACSSearchResponse)

AnsysGPTReorderSearchResponseAndReturnOnlyTopK reorders the search response

Tags:

@displayName: Reorder Search Response

Parameters:

semanticSearchOutput: the search response
topK: the number of results to be returned

Returns:

reorderedSemanticSearchOutput: the reordered search response

func AnsysGPTReturnIndexList#

func AnsysGPTReturnIndexList(indexGroups []string) (indexList []string)

AnsysGPTReturnIndexList returns the index list for Ansys GPT

Tags:

@displayName: List Indexes

Parameters:

indexGroups: the index groups

Returns:

indexList: the index list

func AppendMeshPilotHistory#

func AppendMeshPilotHistory(history []map[string]string, role, content string) (updatedHistory []map[string]string)

AppendMeshPilotHistory this function append mesh pilot history

Tags:

@displayName: AppendMeshPilotHistory

Parameters:

history: the tool history
role: the tool id
content: the tool name

Returns:

updatedHistory: the updated mesh pilot history

func AppendMessageHistory#

func AppendMessageHistory(newMessage string, role AppendMessageHistoryRole, history []sharedtypes.HistoricMessage) (updatedHistory []sharedtypes.HistoricMessage)

AppendMessageHistory appends a new message to the conversation history

Tags:

@displayName: Append Message History

Parameters:

newMessage: the new message
role: the role of the message
history: the conversation history

Returns:

updatedHistory: the updated conversation history

func AppendStringSlices#

func AppendStringSlices(slice1, slice2, slice3, slice4, slice5 []string) []string

AppendStringSlices creates a new slice by appending all elements of the provided slices.

Tags:

@displayName: Append String Slices

Parameters:

slice1, slice2, slice3, slice4, slice5: slices to append.

Returns:

result: a new slice with all elements appended.

func AppendToolHistory#

func AppendToolHistory(toolHistory []map[string]string, toolId, toolName, toolArguments, toolResponse string) (updatedToolHistory []map[string]string)

AppendToolHistory this function append tool history

Tags:

@displayName: AppendToolHistory

Parameters:

toolHistory: the tool history
toolId: the tool id
toolName: the tool name
toolArguments: the tool arguments
toolResponse: the tool response

Returns:

updatedToolHistory: the updated tool history

func AssignStringToString#

func AssignStringToString(inputString string) (outputString string)

AssignStringToString assigns a string to another string

Tags:

@displayName: Assign String to String

Parameters:

inputString: the input string

Returns:

outputString: the output string

func BuildFinalQueryForCodeLLMRequest#

func BuildFinalQueryForCodeLLMRequest(request string, knowledgedbResponse []sharedtypes.DbResponse) (finalQuery string)

BuildFinalQueryForCodeLLMRequest builds the final query for a code generation request to LLM. The final query is a markdown string that contains the original request and the code examples from the KnowledgeDB.

Tags:

@displayName: Final Query (Code LLM Request)

Parameters:

request: the original request
knowledgedbResponse: the KnowledgeDB response

Returns:

finalQuery: the final query

func BuildFinalQueryForGeneralLLMRequest#

func BuildFinalQueryForGeneralLLMRequest(request string, knowledgedbResponse []sharedtypes.DbResponse) (finalQuery string)

BuildFinalQueryForGeneralLLMRequest builds the final query for a general request to LLM. The final query is a markdown string that contains the original request and the examples from the KnowledgeDB.

Tags:

@displayName: Final Query (General LLM Request)

Parameters:

request: the original request
knowledgedbResponse: the KnowledgeDB response

Returns:

finalQuery: the final query

func BuildLibraryContext#

func BuildLibraryContext(message string, libraryContext string) (messageWithContext string)

BuildLibraryContext builds the context string for the query

Tags:

@displayName: Library Context

Parameters:

message: the message string
libraryContext: the library context string

Returns:

messageWithContext: the message with context

func CastAnyToBool#

func CastAnyToBool(data any) bool

CastAnyToBool casts data of type any to bool

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Bool

Parameters:

data (any)

Returns

bool

func CastAnyToByte#

func CastAnyToByte(data any) byte

CastAnyToByte casts data of type any to byte

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Byte

Parameters:

data (any)

Returns

byte

func CastAnyToComplex128#

func CastAnyToComplex128(data any) complex128

CastAnyToComplex128 casts data of type any to complex128

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Complex128

Parameters:

data (any)

Returns

complex128

func CastAnyToComplex64#

func CastAnyToComplex64(data any) complex64

CastAnyToComplex64 casts data of type any to complex64

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Complex64

Parameters:

data (any)

Returns

complex64

func CastAnyToFloat32#

func CastAnyToFloat32(data any) float32

CastAnyToFloat32 casts data of type any to float32

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Float32

Parameters:

data (any)

Returns

float32

func CastAnyToFloat64#

func CastAnyToFloat64(data any) float64

CastAnyToFloat64 casts data of type any to float64

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Float64

Parameters:

data (any)

Returns

float64

func CastAnyToInt#

func CastAnyToInt(data any) int

CastAnyToInt casts data of type any to int

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Int

Parameters:

data (any)

Returns

int

func CastAnyToInt16#

func CastAnyToInt16(data any) int16

CastAnyToInt16 casts data of type any to int16

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Int16

Parameters:

data (any)

Returns

int16

func CastAnyToInt32#

func CastAnyToInt32(data any) int32

CastAnyToInt32 casts data of type any to int32

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Int32

Parameters:

data (any)

Returns

int32

func CastAnyToInt64#

func CastAnyToInt64(data any) int64

CastAnyToInt64 casts data of type any to int64

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Int64

Parameters:

data (any)

Returns

int64

func CastAnyToInt8#

func CastAnyToInt8(data any) int8

CastAnyToInt8 casts data of type any to int8

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Int8

Parameters:

data (any)

Returns

int8

func CastAnyToInterface#

func CastAnyToInterface(data any) interface{}

CastAnyToInterface casts data of type any to interface {}

Tags:

@displayName: Cast any to interface{}

Parameters:

data (any)

Returns

interface {}

func CastAnyToRune#

func CastAnyToRune(data any) rune

CastAnyToRune casts data of type any to rune

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Rune

Parameters:

data (any)

Returns

rune

func CastAnyToString#

func CastAnyToString(data any) string

CastAnyToString casts data of type any to string

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to String

Parameters:

data (any)

Returns

string

func CastAnyToUint#

func CastAnyToUint(data any) uint

CastAnyToUint casts data of type any to uint

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Uint

Parameters:

data (any)

Returns

uint

func CastAnyToUint16#

func CastAnyToUint16(data any) uint16

CastAnyToUint16 casts data of type any to uint16

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Uint16

Parameters:

data (any)

Returns

uint16

func CastAnyToUint32#

func CastAnyToUint32(data any) uint32

CastAnyToUint32 casts data of type any to uint32

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Uint32

Parameters:

data (any)

Returns

uint32

func CastAnyToUint64#

func CastAnyToUint64(data any) uint64

CastAnyToUint64 casts data of type any to uint64

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Uint64

Parameters:

data (any)

Returns

uint64

func CastAnyToUint8#

func CastAnyToUint8(data any) uint8

CastAnyToUint8 casts data of type any to uint8

This is done via a type assertion. Will panic if assertion fails.

Tags:

@displayName: Cast Any to Uint8

Parameters:

data (any)

Returns

uint8

func CastArrayMapStringAnyToAny#

func CastArrayMapStringAnyToAny(data []map[string]any) any

CastArrayMapStringAnyToAny casts data of type []map[string]any to any

Tags:

@displayName: Cast []map[string]any to any

Parameters:

data ([]map[string]any)

Returns

any

func CastBoolToAny#

func CastBoolToAny(data bool) any

CastBoolToAny casts data of type bool to any

Tags:

@displayName: Cast Bool to Any

Parameters:

data (bool)

Returns

any

func CastByteToAny#

func CastByteToAny(data byte) any

CastByteToAny casts data of type byte to any

Tags:

@displayName: Cast Byte to Any

Parameters:

data (byte)

Returns

any

func CastComplex128ToAny#

func CastComplex128ToAny(data complex128) any

CastComplex128ToAny casts data of type complex128 to any

Tags:

@displayName: Cast Complex128 to Any

Parameters:

data (complex128)

Returns

any

func CastComplex64ToAny#

func CastComplex64ToAny(data complex64) any

CastComplex64ToAny casts data of type complex64 to any

Tags:

@displayName: Cast Complex64 to Any

Parameters:

data (complex64)

Returns

any

func CastFloat32ToAny#

func CastFloat32ToAny(data float32) any

CastFloat32ToAny casts data of type float32 to any

Tags:

@displayName: Cast Float32 to Any

Parameters:

data (float32)

Returns

any

func CastFloat64ToAny#

func CastFloat64ToAny(data float64) any

CastFloat64ToAny casts data of type float64 to any

Tags:

@displayName: Cast Float64 to Any

Parameters:

data (float64)

Returns

any

func CastInt16ToAny#

func CastInt16ToAny(data int16) any

CastInt16ToAny casts data of type int16 to any

Tags:

@displayName: Cast Int16 to Any

Parameters:

data (int16)

Returns

any

func CastInt32ToAny#

func CastInt32ToAny(data int32) any

CastInt32ToAny casts data of type int32 to any

Tags:

@displayName: Cast Int32 to Any

Parameters:

data (int32)

Returns

any

func CastInt64ToAny#

func CastInt64ToAny(data int64) any

CastInt64ToAny casts data of type int64 to any

Tags:

@displayName: Cast Int64 to Any

Parameters:

data (int64)

Returns

any

func CastInt8ToAny#

func CastInt8ToAny(data int8) any

CastInt8ToAny casts data of type int8 to any

Tags:

@displayName: Cast Int8 to Any

Parameters:

data (int8)

Returns

any

func CastIntToAny#

func CastIntToAny(data int) any

CastIntToAny casts data of type int to any

Tags:

@displayName: Cast Int to Any

Parameters:

data (int)

Returns

any

func CastInterfaceToAny#

func CastInterfaceToAny(data interface{}) any

CastInterfaceToAny casts data of type interface {} to any

Tags:

@displayName: Cast interface{} to any

Parameters:

data (interface {})

Returns

any

func CastRuneToAny#

func CastRuneToAny(data rune) any

CastRuneToAny casts data of type rune to any

Tags:

@displayName: Cast Rune to Any

Parameters:

data (rune)

Returns

any

func CastStringToAny#

func CastStringToAny(data string) any

CastStringToAny casts data of type string to any

Tags:

@displayName: Cast String to Any

Parameters:

data (string)

Returns

any

func CastUint16ToAny#

func CastUint16ToAny(data uint16) any

CastUint16ToAny casts data of type uint16 to any

Tags:

@displayName: Cast Uint16 to Any

Parameters:

data (uint16)

Returns

any

func CastUint32ToAny#

func CastUint32ToAny(data uint32) any

CastUint32ToAny casts data of type uint32 to any

Tags:

@displayName: Cast Uint32 to Any

Parameters:

data (uint32)

Returns

any

func CastUint64ToAny#

func CastUint64ToAny(data uint64) any

CastUint64ToAny casts data of type uint64 to any

Tags:

@displayName: Cast Uint64 to Any

Parameters:

data (uint64)

Returns

any

func CastUint8ToAny#

func CastUint8ToAny(data uint8) any

CastUint8ToAny casts data of type uint8 to any

Tags:

@displayName: Cast Uint8 to Any

Parameters:

data (uint8)

Returns

any

func CastUintToAny#

func CastUintToAny(data uint) any

CastUintToAny casts data of type uint to any

Tags:

@displayName: Cast Uint to Any

Parameters:

data (uint)

Returns

any

func CheckApiKeyAuthKvDb#

func CheckApiKeyAuthKvDb(kvdbEndpoint string, apiKey string, traceID string, spanID string) (isAuthenticated bool, childSpanID string)

CheckApiKeyAuthKvDb checks if the provided API key is authenticated against the KVDB.

Tags:

@displayName: Verify API Key

Parameters:

kvdbEndpoint: the KVDB endpoint
apiKey: The API key to check
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

isAuthenticated: true if the API key is authenticated, false otherwise
childSpanID: the child span ID created for this operation

func CheckApiKeyAuthMongoDb#

func CheckApiKeyAuthMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (isAuthenticated bool)

CheckApiKeyAuthMongoDb checks if the given API key is valid and has access to the service.

Tags:

@displayName: Verify API Key

Parameters:

apiKey: The API key to check.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.

Returns:

isAuthenticated: A boolean indicating whether the API key is authenticated.

func CheckCreateUserIdMongoDb#

func CheckCreateUserIdMongoDb(userId string, temporaryTokenLimit int, hoursUntilTokenLimitReset int, modelId []string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (existingUser bool)

CheckCreateUserIdMongoDb checks if a user ID exists in the MongoDB database and creates it if it doesn’t.

Tags:

@displayName: Check and Create User ID

Parameters:

userId: The user ID to check.
tokenLimitForNewUsers: The token limit for new users.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.

Returns:

existingUser: A boolean indicating whether the user ID already exists.

func CheckTokenLimitReached#

func CheckTokenLimitReached(query string, tokenLimit int, modelName string, tokenLimitMessage string) (tokenLimitReached bool, responseMessage string)

CheckTokenLimitReached checks if the query exceeds the token limit for the specified model

Tags:

@displayName: Check Token Limit Reached

Parameters:

query: the query string
tokenLimit: the token limit
modelName: the name of the model to check against

Returns:

tokenLimitReached: true if the token limit is reached, false otherwise

func CreateChildSpan#

func CreateChildSpan(ctx *logging.ContextMap, traceID string, parentSpanID string) (childSpanID string)

func CreateCollectionRequest#

func CreateCollectionRequest(collectionName string, vectorSize uint64, vectorDistance string)

CreateCollectionRequest sends a request to the collection endpoint.

Tags:

@displayName: Create Collection

Parameters:

collectionName: the name of the collection to create.
vectorSize: the length of the vector embeddings
vectorDistance: the vector similarity distance algorithm to use for the vector index (cosine, dot, euclid, manhattan)

func CreateDbFilter#

func CreateDbFilter(guid []string, documentId []string, documentName []string, level []string, tags sharedtypes.DbArrayFilter, keywords sharedtypes.DbArrayFilter, metadata []sharedtypes.DbJsonFilter) (databaseFilter sharedtypes.DbFilters)

CreateDbFilter creates a filter for the KnowledgeDB.

The function returns the filter.

Tags:

@displayName: Create Filter

Parameters:

guid: the guid filter
documentId: the document ID filter
documentName: the document name filter
level: the level filter
tags: the tags filter
keywords: the keywords filter
metadata: the metadata filter

Returns:

databaseFilter: the filter

func CreateEmbeddings#

func CreateEmbeddings(dense bool, sparse bool, colbert bool, isDocument bool, passages []string) (dense_vector [][]float32, lexical_weights []map[uint]float32, colbert_vecs [][][]float32, func_error error)

func CreateGeneralDataExtractionDocumentObjects#

func CreateGeneralDataExtractionDocumentObjects(documentName string, documentChunks []string, denseEmbeddings [][]float32, sparseEmbeddings []map[uint]float32) (extractionData []interface{})

CreateGeneralDataExtractionDocumentObjects creates general data extraction document objects from the provided document chunks, dense embeddings, and sparse embeddings.

Tags:

@displayName: Create General Data Extraction Document Objects

Parameters:

documentName: name of the document.
documentChunks: chunks of the document.
denseEmbeddings: dense embeddings of the document.
sparseEmbeddings: sparse embeddings of the document.

Returns:

extractionData: general data extraction document objects in interface format.

func CreateKeywordsDbFilter#

func CreateKeywordsDbFilter(keywords []string, needAll bool) (databaseFilter sharedtypes.DbArrayFilter)

CreateKeywordsDbFilter creates a keywords filter for the KnowledgeDB.

The function returns the keywords filter.

Tags:

@displayName: Keywords Filter

Parameters:

keywords: the keywords to be used for the filter
needAll: flag to indicate whether all keywords are needed

Returns:

databaseFilter: the keywords filter

func CreateMessageWithVariable#

func CreateMessageWithVariable(message string, variable string) (updatedMessage string)

CreateMessageWithVariable creates a message with a variable.

Tags:

@displayName: Create Message with Variable

Parameters:

message: The message to create.
variable: The variable to insert into the message.

Returns:

updatedMessage: The updated message with the variable inserted.

func CreateMetadataDbFilter#

func CreateMetadataDbFilter(fieldName string, fieldType string, filterData []string, needAll bool) (databaseFilter sharedtypes.DbJsonFilter)

CreateMetadataDbFilter creates a metadata filter for the KnowledgeDB.

The function returns the metadata filter.

Tags:

@displayName: Metadata Filter

Parameters:

fieldName: the name of the field
fieldType: the type of the field
filterData: the filter data
needAll: flag to indicate whether all data is needed

Returns:

databaseFilter: the metadata filter

func CreateTagsDbFilter#

func CreateTagsDbFilter(tags []string, needAll bool) (databaseFilter sharedtypes.DbArrayFilter)

CreateTagsDbFilter creates a tags filter for the KnowledgeDB.

The function returns the tags filter.

Tags:

@displayName: Tags Filter

Parameters:

tags: the tags to be used for the filter
needAll: flag to indicate whether all tags are needed

Returns:

databaseFilter: the tags filter

func DenyCustomerAccessAndSendWarningKvDb#

func DenyCustomerAccessAndSendWarningKvDb(kvdbEndpoint string, apiKey string, traceID string, spanID string) (customerName string, sendWarning bool, childSpanID string)

DenyCustomerAccessAndSendWarningKvDb denies access to a customer and sends a warning if not already sent

Tags:

@displayName: Deny Customer Access and Send Warning

Parameters:

kvdbEndpoint: the KVDB endpoint
apiKey: The API key of the customer
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

customerName: The name of the customer
sendWarning: true if a warning was sent, false if it was already sent
childSpanID: the child span ID created for this operation

func DenyCustomerAccessAndSendWarningMongoDb#

func DenyCustomerAccessAndSendWarningMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (customerName string, sendWarning bool)

DenyCustomerAccessAndSendWarningMongoDb denies access to the customer and sends a warning if necessary.

Tags:

@displayName: Deny Customer Access

Parameters:

apiKey: The API key of the customer.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.

Returns:

customerName: The name of the customer.
sendWarning: A boolean indicating whether a warning should be sent to the customer.

func DenyCustomerAccessAndSendWarningMongoDbUserId#

func DenyCustomerAccessAndSendWarningMongoDbUserId(userId string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string) (sendWarning bool)

DenyCustomerAccessAndSendWarningMongoDbUserId denies access to the customer by user ID and sends a warning if necessary.

Tags:

@displayName: Deny Customer Access by User ID

Parameters:

userId: The user ID of the customer.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.

Returns:

sendWarning: A boolean indicating whether a warning should be sent to the customer.

func DownloadGithubFileContent#

func DownloadGithubFileContent(githubRepoName string, githubRepoOwner string, githubRepoBranch string, gihubFilePath string, githubAccessToken string) (checksum string, content []byte)

DownloadGithubFileContent downloads file content from github and returns checksum and content.

Tags:

@displayName: Download Github File Content

Parameters:

githubRepoName: name of the github repository.
githubRepoOwner: owner of the github repository.
githubRepoBranch: branch of the github repository.
gihubFilePath: path to file in the github repository.
githubAccessToken: access token for github.

Returns:

checksum: checksum of file.
content: content of file.

func DownloadGithubFilesContent#

func DownloadGithubFilesContent(githubRepoName string, githubRepoOwner string, githubRepoBranch string, gihubFilePaths []string, githubAccessToken string) (filesMap map[string][]byte)

DownloadGithubFilesContent downloads file content from github and returns checksum and content.

Tags:

@displayName: Download Github Files Content

Parameters:

githubRepoName: name of the github repository.
githubRepoOwner: owner of the github repository.
githubRepoBranch: branch of the github repository.
gihubFilePath: path to file in the github repository.
githubAccessToken: access token for github.

Returns:

filesMap: map of file paths to file content.

func ExecuteTool#

func ExecuteTool(serverURL, toolName string, args map[string]interface{}) (map[string]interface{}, error)

ExecuteTool executes a specific tool via the MCP server with provided arguments.

Tags:

@displayName: Execute MCP Tool

Parameters:

serverURL: the WebSocket URL of the MCP server
toolName: the name of the tool to execute
args: a map of arguments to pass to the tool

Returns:

result: the response from the tool execution
error: any error that occurred during execution

func ExtractCriteriaSuggestions#

func ExtractCriteriaSuggestions(llmResponse string, traceID string, spanID string) (criteriaSuggestions []sharedtypes.MaterialLlmCriterion, childSpanID string)

ExtractCriteriaSuggestions extracts criteria suggestions from the LLM response text

Tags:

@displayName: Extract criteria suggestions from LLM response

Parameters:

llmResponse: the text response from the LLM containing JSON with criteria suggestions
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

criteriaSuggestions: the list of criteria suggestions extracted from the LLM response
childSpanID: the child span ID created for this operation

func ExtractDesignRequirementsAndSearchCriteria#

func ExtractDesignRequirementsAndSearchCriteria(userInput string, traceID string, spanID string) (designRequirements string, availableSearchCriteria []string, childSpanID string)

ExtractDesignRequirementsAndSearchCriteria parses the user input JSON and returns the design requirements string and the list of available search criteria GUIDs.

Tags:

@displayName: Extract Design Requirements and Search Criteria

Parameters:

userInput: the user input JSON string
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

designRequirements: the extracted design requirements string
availableSearchCriteria: the extracted list of attribute GUIDs
childSpanID: the child span ID created for this operation

func ExtractJSONStringField#

func ExtractJSONStringField(jsonStr string, keyPath string) string

ExtractJSONStringField extracts a string field from a JSON string using a key path. The key path is a dot-separated string that specifies the path to the field in the JSON object.

Tags:

@displayName: Extract JSON String Field

Parameters:

jsonStr: the JSON string to extract the field from
keyPath: the dot-separated path to the field in the JSON object

Returns:

the value of the field as a string

func ExtractJson#

func ExtractJson(text string, traceID string, spanID string) (json string, childSpanID string)

func FetchActionsPathFromPathDescription#

func FetchActionsPathFromPathDescription(db_name, description, nodeLabel string) (actions []map[string]string)

FetchActionsPathFromPathDescription fetch actions from path description

Tags:

@displayName: FetchActionsPathFromPathDescription

Parameters:

description: the desctiption of path
nodeLabel: the label of the node

Returns:

actions: the list of actions to execute

func FetchNodeDescriptionsFromPathDescription#

func FetchNodeDescriptionsFromPathDescription(db_name, description string) (actionDescriptions string)

FetchNodeDescriptionsFromPathDescription get node descriptions from path description

Tags:

@displayName: FetchNodeDescriptionsFromPathDescription

Parameters:

description: the desctiption of path

Returns:

actionDescriptions: action descriptions

func FetchPropertiesFromPathDescription#

func FetchPropertiesFromPathDescription(db_name, description string) (properties []string)

FetchPropertiesFromPathDescription get properties from path description

Tags:

@displayName: FetchPropertiesFromPathDescription

Parameters:

description: the desctiption of path

Returns:

properties: the list of descriptions

func FilterOutDuplicateAttributes#

func FilterOutDuplicateAttributes(criteriaSuggestions []sharedtypes.MaterialLlmCriterion, traceID string, spanID string) (filtered []sharedtypes.MaterialLlmCriterion, childSpanID string)

FilterOutDuplicateAttributes filters out duplicate attributes from the criteria suggestions based on their names

Tags:

@displayName: Filter out duplicate attributes

Parameters:

criteriaSuggestions: current list of criteria suggestions
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

filtered: the list of criteria suggestions excluding duplicates based on attribute names
childSpanID: the child span ID created for this operation

func FilterOutNonExistingAttributes#

func FilterOutNonExistingAttributes(criteriaSuggestions []sharedtypes.MaterialCriterionWithGuid, availableSearchCriteria []string, traceID string, spanID string) (filtered []sharedtypes.MaterialCriterionWithGuid, childSpanID string)

FilterOutNonExistingAttributes filters out criteria suggestions that do not match any of the available attributes based on their GUIDs

Tags:

@displayName: Filter out non-existing attributes

Parameters:

criteriaSuggestions: current list of criteria suggestions
availableSearchCriteria: the list of available search criteria (GUIDs)
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

filtered: the list of criteria suggestions excluding those that do not match any of the available search criteria
childSpanID: the child span ID created for this operation

func FinalizeMessage#

func FinalizeMessage(message string) (result string)

FinalizeMessage this function takes message and generate response schema

Tags:

@displayName: FinalizeMessage

Parameters:

message: final message

Returns:

result: response schema sent to chat interface

func FinalizeResult#

func FinalizeResult(actions []map[string]string, toolName string) (result string)

FinalizeResult converts actions to json string to send back data

Tags:

@displayName: FinalizeResult

Parameters:

actions: the executable actions
toolName: tool name to create customize messages

Returns:

result: the actions in json format

func FindRelevantPathDescription#

func FindRelevantPathDescription(descriptions []string, message string) (relevantDescription string)

FindRelevantPathDescription finds the relevant description by prompting

Tags:

@displayName: FindRelevantPathDescription

Parameters:

descriptions: the list of descriptions
message: the message from llm

Returns:

relevantDescription: the relevant desctiption

func GeneralGraphDbQuery#

func GeneralGraphDbQuery(query string, parameters aali_graphdb.ParameterMap) []map[string]any

GeneralGraphDbQuery executes the given Cypher query and returns the response.

The function returns the graph db response.

Tags:

@displayName: General Graph DB Query

Parameters:

query: the Cypher query to be executed.
parameters: parameters to pass to the query during execution

Returns:

databaseResponse: the graph db response

func GeneralQuery#

func GeneralQuery(collectionName string, maxRetrievalCount int, outputFields []string, filters sharedtypes.DbFilters) (databaseResponse []sharedtypes.DbResponse)

GeneralQuery performs a general query in the KnowledgeDB.

The function returns the query results.

Tags:

@displayName: Query

Parameters:

collectionName: the name of the collection to which the data objects will be added.
maxRetrievalCount: the maximum number of results to be retrieved.
outputFields: the fields to be included in the output.
filters: the filter for the query.

Returns:

databaseResponse: the query results

func GenerateActionsSubWorkflowPrompt#

func GenerateActionsSubWorkflowPrompt(userInstruction string) (systemPrompt string, userPrompt string)

GenerateActionsSubWorkflowPrompt generates system and user prompts for subworkflow identification.

Tags:

@displayName: GenerateActionsSubWorkflowPrompt

Parameters:

userInstruction: user instruction

Returns:

systemPrompt: the system prompt
userPrompt: the user prompt

func GenerateDocumentTree#

func GenerateDocumentTree(documentName string, documentId string, documentChunks []string, embeddingsDimensions int, getSummary bool, getKeywords bool, numKeywords int, chunkSize int, numLlmWorkers int) (returnedDocumentData []sharedtypes.DbData)

GenerateDocumentTree generates a tree structure from the document chunks.

Tags:

@displayName: Document Tree

Parameters:

documentName: name of the document.
documentId: id of the document.
documentChunks: chunks of the document.
embeddingsDimensions: dimensions of the embeddings.
getSummary: whether to get summary.
getKeywords: whether to get keywords.
numKeywords: number of keywords.
chunkSize: size of the chunks.
numLlmWorkers: number of llm workers.

Returns:

documentData: tree structure of the document.

func GenerateHelperSubWorkflowPrompt#

func GenerateHelperSubWorkflowPrompt(userInstruction string) (systemPrompt string, userPrompt string)

GenerateHelperSubWorkflowPrompt generates system and user prompts for helper subworkflow identification.

Tags:

@displayName: GenerateHelperSubWorkflowPrompt

Parameters:

userInstruction: user instruction

Returns:

systemPrompt: the system prompt
userPrompt: the user prompt

func GenerateUUID#

func GenerateUUID() string

GenerateUUID generates a new UUID (Universally Unique Identifier).

Tags:

@displayName: Generate UUID

Returns:

a string representation of the generated UUID

func GenerateUserPrompt#

func GenerateUserPrompt(userInstruction string, userPromptTemplate string) (userPrompt string)

GenerateUserPrompt generates user instruction prompt based on the provided template.

Tags:

@displayName: GenerateUserPrompt

Parameters:

userInstruction: user instruction
userPromptTemplate: user prompt template

Returns:

userPrompt: the user prompt

func GenerateUserPromptWithContext#

func GenerateUserPromptWithContext(userInstruction string, context string, userPromptTemplate string) (userPrompt string)

GenerateUserPromptWithContext generates user instruction prompt based on the provided template with instruction and context.

Tags:

@displayName: GenerateUserPromptWithContext

Parameters:

userInstruction: user instruction
context: user context
userPromptTemplate: user prompt template

Returns:

userPrompt: the user prompt

func GenerateUserPromptWithList#

func GenerateUserPromptWithList(userInstruction string, userList []string, userPromptTemplate string) (userPrompt string)

GenerateUserPromptWithList generates user instruction prompt based on the provided template, instruction, list.

Tags:

@displayName: GenerateUserPromptWithList

Parameters:

userInstruction: user instruction
userList: list of items to include in the prompt
userPromptTemplate: user prompt template

Returns:

userPrompt: the user prompt

func GetActionsFromConfig#

func GetActionsFromConfig(toolName string) (result string)

FinalizeResult converts actions to json string to send back data

Tags:

@displayName: GetActionsFromConfig

Parameters:

toolName: tool name to create customize messages

Returns:

result: the actions in json format

func GetDocumentType#

func GetDocumentType(filePath string) (documentType string)

GetDocumentType returns the document type of a file.

Tags:

@displayName: Get Document Type

Parameters:

filePath: path to file.

Returns:

documentType: file extension.

func GetGithubFilesToExtract#

func GetGithubFilesToExtract(githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string, githubFileExtensions []string, githubFilteredDirectories []string, githubExcludedDirectories []string) (githubFilesToExtract []string)

GetGithubFilesToExtract gets all files from github that need to be extracted.

Tags:

@displayName: List Github Files

Parameters:

githubRepoName: name of the github repository.
githubRepoOwner: owner of the github repository.
githubRepoBranch: branch of the github repository.
githubAccessToken: access token for github.
githubFileExtensions: github file extensions.
githubFilteredDirectories: github filtered directories.
githubExcludedDirectories: github excluded directories.

Returns:

githubFilesToExtract: github files to extract.

func GetListCollections#

func GetListCollections() (collectionsList []string)

GetListCollections retrieves the list of collections from the KnowledgeDB.

Tags:

@displayName: List Collections

The function returns the list of collections.

Parameters:

knowledgeDbEndpoint: the KnowledgeDB endpoint

Returns:

collectionsList: the list of collections

func GetLocalFileContent#

func GetLocalFileContent(localFilePath string) (checksum string, content []byte)

GetLocalFileContent reads local file and returns checksum and content.

Tags:

@displayName: Get Local File Content

Parameters:

localFilePath: path to file.

Returns:

checksum: checksum of file.
content: content of file.

func GetLocalFilesContent#

func GetLocalFilesContent(localFilePaths []string) (filesMap map[string][]byte)

GetLocalFilesContent reads local files and returns content.

Tags:

@displayName: Get Local Files Content

Parameters:

localFilePaths: paths to files.

Returns:

filesMap: map of file paths to file content.

func GetLocalFilesToExtract#

func GetLocalFilesToExtract(localPath string, localFileExtensions []string, localFilteredDirectories []string, localExcludedDirectories []string) (localFilesToExtract []string)

GetLocalFilesToExtract gets all files from local that need to be extracted.

Tags:

@displayName: List Local Files

Parameters:

localPath: path to the local directory.
localFileExtensions: local file extensions.
localFilteredDirectories: local filtered directories.
localExcludedDirectories: local excluded directories.

Returns:

localFilesToExtract: local files to extract.

func GetResource#

func GetResource(serverURL, resourceName string) (map[string]interface{}, error)

GetResource retrieves a named resource from the MCP server.

Tags:

@displayName: Get MCP Resource

Parameters:

serverURL: the WebSocket URL of the MCP server
resourceName: the name of the resource to retrieve

Returns:

result: the retrieved resource as a map
error: any error that occurred during the request

func GetSelectedSolution#

func GetSelectedSolution(arguments string) (solution string)

GetSelectedSolution get user selected solutions from the options provided

Tags:

@displayName: GetSelectedSolution

Parameters:

arguments: these are the arguments ReAct found based on user choice

Returns:

solution: the selected solution

func GetSolutionsToFixProblem#

func GetSolutionsToFixProblem(db_name, fmFailureCode, primeMeshFailureCode string) (solutions string)

GetSolutionsToFixProblem do similarity search on path description

Tags:

@displayName: GetSolutionsToFixProblem

Parameters:

fmFailureCode: FM failure Code
primeMeshFailureCode: Prime Mesh Failure Code

Returns:

solutions: the list of solutions in json

func GetSystemPrompt#

func GetSystemPrompt(serverURL, promptName string) (string, error)

GetSystemPrompt retrieves a system prompt by name from the MCP server.

Tags:

@displayName: Get MCP Prompt

Parameters:

serverURL: the WebSocket URL of the MCP server
promptName: the name of the system prompt to retrieve

Returns:

promptStr: the text of the retrieved prompt
error: any error that occurred during the request

func JsonPath#

func JsonPath(pat string, data any, oneResult bool) any

JsonPath extracts some data from an arbitrary data structure using a JSONPath pattern

Tags:

@displayName: JSON Path

Parameters:

pat (string): The JSON Path pattern
data (any): The data to extract from
oneResult (bool): Whether you are expecting to extract 1 result or an array of results If you set oneResult=true but there are not exactle 1 result in the output, you will receive an error. This should only be set if the result is guaranteed to have length 1.

Returns

The extracted data. If oneResult=false, this will be an array of any.

func LangchainSplitter#

func LangchainSplitter(bytesContent []byte, documentType string, chunkSize int, chunkOverlap int) (output []string)

LangchainSplitter splits content into chunks using langchain.

Tags:

@displayName: Split Content

Parameters:

content: content to split.
documentType: type of document.
chunkSize: size of the chunks.
chunkOverlap: overlap of the chunks.

Returns:

output: chunks as an slice of strings.

func ListAll#

func ListAll(serverURL string) (map[string][]string, error)

ListAll retrieves all tools, resources, and prompts from the MCP server.

Tags:

@displayName: List MCP Items

Parameters:

serverURL: the WebSocket URL of the MCP server

Returns:

result: a map with lists of tool/resource/prompt names categorized by type
error: any error that occurred during the process

func LoadAndCheckExampleDependencies#

func LoadAndCheckExampleDependencies(dependenciesContent []byte, elements []sharedtypes.CodeGenerationElement, instancesReplacementDict map[string]string, InstancesReplacementPriorityList []string) (checkedDependenciesMap map[string][]string, equivalencesMap map[string]map[string]string)

LoadAndCheckExampleDependencies loads and checks the dependencies of the examples.

Tags:

@displayName: Load and Check Example Dependencies

Parameters:

dependenciesContent: content of the dependencies file in []byte format.
elements: code generation elements.
instancesReplacementDict: dictionary of instances replacements.
InstancesReplacementPriorityList: list of instances replacement priority.

Returns:

checkedDependenciesMap: checked dependencies.
equivalencesMap: equivalences.

func LoadCodeGenerationElements#

func LoadCodeGenerationElements(content []byte, elementsFilePath string) (elements []sharedtypes.CodeGenerationElement)

LoadCodeGenerationElements loads code generation elements from an xml or json file.

Tags:

@displayName: Load Code Generation Elements

Parameters:

content: content of the file in []byte format.
elementsFilePath: path to the file.

Returns:

elements: code generation elements.

func LoadCodeGenerationExamples#

func LoadCodeGenerationExamples(source string, examplesToExtract []string, githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string, dependencies map[string][]string, equivalencesMap map[string]map[string]string, chunkSize int, chunkOverlap int) (examples []sharedtypes.CodeGenerationExample)

LoadCodeGenerationExamples loads code generation examples from the provided paths.

Tags:

@displayName: Load Code Generation Examples

Parameters:

source: source of the examples (local or github).
examplesToExtract: paths to the examples.
githubRepoName: name of the github repository.
githubRepoOwner: owner of the github repository.
githubRepoBranch: branch of the github repository.
githubAccessToken: access token for the github repository.
dependencies: dependencies of the examples.
equivalencesMap: equivalences of the examples.
chunkSize: size of the chunks.
chunkOverlap: overlap of the chunks.

Returns:

examples: code generation examples.

func LoadUserGuideSections#

func LoadUserGuideSections(source string, sectionFilePaths []string, githubRepoName string, githubRepoOwner string, githubRepoBranch string, githubAccessToken string) (sections []sharedtypes.CodeGenerationUserGuideSection)

LoadUserGuideSections loads user guide sections from the provided paths.

Tags:

@displayName: Load User Guide Sections

Parameters:

source: source of the sections (local or github).
sectionFilePaths: paths to the sections.
githubRepoName: name of the github repository.
githubRepoOwner: owner of the github repository.
githubRepoBranch: branch of the github repository.
githubAccessToken: access token for the github repository.

Returns:

sections: user guide sections.

func LogRequestFailed#

func LogRequestFailed(traceID string, spanID string) (childSpanID string)

LogRequestFailed writes a .Info log entry indicating that a request was not completed successfully.

Tags:

@displayName: Log request failed

Parameters:

traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

childSpanID: the child span ID created for this operation

func LogRequestFailedDebugWithMessage#

func LogRequestFailedDebugWithMessage(msg1, msg2 string, traceID string, spanID string) (childSpanID string)

LogRequestFailedDebugWithMessage writes a .Debug log entry indicating that a request was not completed successfully with additional message.

Tags:

@displayName: Log request failed with message

Parameters:

msg1: the first part of the debug message
msg2: the second part of the debug message
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

childSpanID: the child span ID created for this operation

func LogRequestSuccess#

func LogRequestSuccess(traceID string, spanID string) (childSpanID string)

LogRequestSuccess writes a .Info log entry indicating that a request was completed successfully.

Tags:

@displayName: Log request success

Parameters:

traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

childSpanID: the child span ID created for this operation

func MarkdownToHTML#

func MarkdownToHTML(markdown string) (html string)

MarkdownToHTML this function converts markdown to html

Tags:

@displayName: MarkdownToHTML

Parameters:

markdown: content in markdown format

Returns:

html: content in html format

func ParseHistory#

func ParseHistory(historyJson string) (history []map[string]string)

ParseHistory this function parses history from json to map

Tags:

@displayName: ParseHistory

Parameters:

historyJson: history in json format

Returns:

history: the parsed history

func ParseHistoryToHistoricMessages#

func ParseHistoryToHistoricMessages(historyJson string) (history []sharedtypes.HistoricMessage)

ParseHistoryToHistoricMessages this function to convert chat history to historic messages

Tags:

@displayName: ParseHistoryToHistoricMessages

Parameters:

historyJson: chat history in json format

Returns:

history: the history in sharedtypes.HistoricMessage format

func PerformBatchEmbeddingRequest#

func PerformBatchEmbeddingRequest(input []string) (embeddedVectors [][]float32)

PerformBatchEmbeddingRequest performs a batch vector embedding request to LLM

Tags:

@displayName: Batch Embeddings

Parameters:

input: the input strings

Returns:

embeddedVectors: the embedded vectors in float32 format

func PerformBatchHybridEmbeddingRequest#

func PerformBatchHybridEmbeddingRequest(input []string, maxBatchSize int) (denseEmbeddings [][]float32, sparseEmbeddings []map[uint]float32)

PerformBatchHybridEmbeddingRequest performs a batch hybrid embedding request to LLM returning the sparse and dense embeddings

Tags:

@displayName: Batch Hybrid Embeddings

Parameters:

input: the input strings

Returns:

denseEmbeddings: the dense embeddings in float32 format
sparseEmbeddings: the sparse embeddings in map format

func PerformCodeLLMRequest#

func PerformCodeLLMRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, validateCode bool) (message string, stream *chan string)

PerformCodeLLMRequest performs a code generation request to LLM

Tags:

@displayName: Code LLM Request

Parameters:

input: the input string
history: the conversation history
isStream: the stream flag

Returns:

message: the generated code
stream: the stream channel

func PerformGeneralModelSpecificationRequest#

func PerformGeneralModelSpecificationRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt map[string]string, modelIds []string) (message string, stream *chan string)

PerformGeneralModelSpecificationRequest performs a specified request to LLM with a configured model and Systemprompt.

Tags:

@displayName: General LLM Request (Specified System Prompt)

Parameters:

input: the user input
history: the conversation history
isStream: the flag to indicate whether the response should be streamed
systemPrompt: the system prompt
modelId: the model ID

Returns:

message: the response message
stream: the stream channel

func PerformGeneralRequest#

func PerformGeneralRequest(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string) (message string, stream *chan string)

PerformGeneralRequest performs a general chat completion request to LLM

Tags:

@displayName: General LLM Request

Parameters:

input: the input string
history: the conversation history
isStream: the stream flag
systemPrompt: the system prompt

Returns:

message: the generated message
stream: the stream channel

func PerformGeneralRequestNoStreaming#

func PerformGeneralRequestNoStreaming(input string, history []sharedtypes.HistoricMessage, systemPrompt string) (message string)

PerformGeneralRequestNoStreaming performs a general chat completion request to LLM without streaming

Tags:

@displayName: General LLM Request (no streaming)

Parameters:

input: the input string
history: the conversation history
systemPrompt: the system prompt

Returns:

message: the generated message

func PerformGeneralRequestSpecificModel#

func PerformGeneralRequestSpecificModel(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string) (message string, stream *chan string)

PerformGeneralRequestSpecificModel performs a general request to LLM with a specific model

Tags:

@displayName: General LLM Request (Specific Models)

Parameters:

input: the user input
history: the conversation history
isStream: the flag to indicate whether the response should be streamed
systemPrompt: the system prompt
modelId: the model ID

Returns:

message: the response message
stream: the stream channel

func PerformGeneralRequestSpecificModelAndModelOptions#

func PerformGeneralRequestSpecificModelAndModelOptions(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions) (message string, stream *chan string)

PerformGeneralRequestSpecificModel performs a general request to LLM with a specific model

Tags:

@displayName: General LLM Request (Specific Models & Model Options)

Parameters:

input: the user input
history: the conversation history
isStream: the flag to indicate whether the response should be streamed
systemPrompt: the system prompt
modelId: the model ID
modelOptions: the model options

Returns:

message: the response message
stream: the stream channel

func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput#

func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, tokenCountModelName string) (message string, inputTokenCount int, outputTokenCount int)

PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiInputOutputTokenOutput performs a general request to LLM with a specific model and model options, and returns the token count using OpenAI token count model. Does not stream the response.

Tags:

@displayName: General LLM Request (Specific Models, Model Options, No Stream, OpenAI Input & Output Token Output)

Parameters:

input: the user input
history: the conversation history
systemPrompt: the system prompt
modelIds: the model IDs of the AI models to use
modelOptions: the model options
tokenCountModelName: the model name to use for token count

Returns:

message: the response message
inputTokenCount: the input token count
outputTokenCount: the output token count

func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput#

func PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, tokenCountModelName string) (message string, tokenCount int)

PerformGeneralRequestSpecificModelAndModelOptionsNoStreamWithOpenAiTokenOutput performs a general request to LLM with a specific model and model options, and returns the token count using OpenAI token count model. Does not stream the response.

Tags:

@displayName: General LLM Request (Specific Models, Model Options, No Stream, OpenAI Token Output)

Parameters:

input: the user input
history: the conversation history
systemPrompt: the system prompt
modelIds: the model IDs of the AI models to use
modelOptions: the model options
tokenCountModelName: the model name to use for token count

Returns:

message: the response message
tokenCount: the token count

func PerformGeneralRequestSpecificModelModelOptionsAndImages#

func PerformGeneralRequestSpecificModelModelOptionsAndImages(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, modelIds []string, modelOptions sharedtypes.ModelOptions, images []string) (message string, stream *chan string)

PerformGeneralRequestSpecificModelModelOptionsAndImages performs a general request to LLM with a specific model including model options and images

Tags:

@displayName: General LLM Request (Specific Models, Model Options & Images)

Parameters:

input: the user input
history: the conversation history
isStream: the flag to indicate whether the response should be streamed
systemPrompt: the system prompt
modelId: the model ID
modelOptions: the model options
images: the images to include in the request

Returns:

message: the response message
stream: the stream channel

func PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput#

func PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, tokenCountModelName string) (message string, tokenCount int)

PerformGeneralRequestSpecificModelNoStreamWithOpenAiTokenOutput performs a general request to LLM with a specific model and returns the token count using OpenAI token count model. Does not stream the response.

Tags:

@displayName: General LLM Request (Specific Models, No Stream, OpenAI Token Output)

Parameters:

input: the user input
history: the conversation history
systemPrompt: the system prompt
modelIds: the model IDs of the AI models to use
tokenCountModelName: the model name to use for token count

Returns:

message: the response message
tokenCount: the token count

func PerformGeneralRequestWithImages#

func PerformGeneralRequestWithImages(input string, history []sharedtypes.HistoricMessage, isStream bool, systemPrompt string, images []string) (message string, stream *chan string)

PerformGeneralRequestWithImages performs a general request to LLM with images

Tags:

@displayName: General LLM Request (with Images)

Parameters:

input: the user input
history: the conversation history
isStream: the flag to indicate whether the response should be streamed
systemPrompt: the system prompt
images: the images

Returns:

message: the response message
stream: the stream channel

func PerformKeywordExtractionRequest#

func PerformKeywordExtractionRequest(input string, maxKeywordsSearch uint32) (keywords []string)

PerformKeywordExtractionRequest performs a keywords extraction request to LLM

Tags:

@displayName: Keyword Extraction

Parameters:

input: the input string
maxKeywordsSearch: the maximum number of keywords to search for

Returns:

keywords: the keywords extracted from the input string as a slice of strings

func PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput#

func PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput(input string, history []sharedtypes.HistoricMessage, systemPrompt string, modelIds []string, tokenCountModelName string, n int, traceID string, spanID string) (uniqueCriterion []sharedtypes.MaterialLlmCriterion, tokenCount int, childSpanID string)

PerformMultipleGeneralRequestsAndExtractAttributesWithOpenAiTokenOutput performs multiple general LLM requests using specific models, extracts structured attributes (criteria) from the responses, and returns the total token count using the specified OpenAI token counting model. This version does not stream responses.

Tags:

@displayName: Multiple General LLM Requests (Specific Models, No Stream, Attribute Extraction, OpenAI Token Output)

Parameters:

input: the user input string
history: the conversation history for context
systemPrompt: the system prompt to guide the LLM
modelIds: the model IDs of the LLMs to query
tokenCountModelName: the model name used for token count calculation
n: number of parallel requests to perform
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

uniqueCriterion: a deduplicated list of extracted attributes (criteria) from all responses
tokenCount: the total token count (input tokens × n + combined output tokens)
childSpanID: the child span ID created for this operation

func PerformSummaryRequest#

func PerformSummaryRequest(input string) (summary string)

PerformSummaryRequest performs a summary request to LLM

Tags:

@displayName: Summary

Parameters:

input: the input string

Returns:

summary: the summary extracted from the input string

func PerformVectorEmbeddingRequest#

func PerformVectorEmbeddingRequest(input string) (embeddedVector []float32)

PerformVectorEmbeddingRequest performs a vector embedding request to LLM

Tags:

@displayName: Embeddings

Parameters:

input: the input string

Returns:

embeddedVector: the embedded vector in float32 format

func PerformVectorEmbeddingRequestWithTokenLimitCatch#

func PerformVectorEmbeddingRequestWithTokenLimitCatch(input string, tokenLimitMessage string) (embeddedVector []float32, tokenLimitReached bool, responseMessage string)

PerformVectorEmbeddingRequestWithTokenLimitCatch performs a vector embedding request to LLM and catches the token limit error message

Tags:

@displayName: Embeddings with Token Limit Catch

Parameters:

input: the input string

Returns:

embeddedVector: the embedded vector in float32 format

func PrintFeedback#

func PrintFeedback(feedback sharedtypes.Feedback)

PrintFeedback prints the feedback to the console in JSON format

Tags:

@displayName: Print Feedback

Parameters:

feedback: the feedback to print

func ProcessMainAgentOutput#

func ProcessMainAgentOutput(llmOutput string) (messageTo string, message string)

ProcessMainAgentOutput this function process output of llm

Tags:

@displayName: ProcessMainAgentOutput

Parameters:

llmOutput: the llm output for main agent

Returns:

messageTo: send the message to this recipient
message: message to send to the recipient

func ProcessSubworkflowIdentificationOutput#

func ProcessSubworkflowIdentificationOutput(llmOutput string) (status string, workflowName string)

ProcessSubworkflowIdentificationOutput this function process output of llm

Tags:

@displayName: ProcessSubworkflowIdentificationOutput

Parameters:

llmOutput: the llm output for subworkflow identification

Returns:

status: status of processing
workflowName: the identified subworkflow name

func QdrantCreateCollection#

func QdrantCreateCollection(collectionName string, vectorSize uint64, vectorDistance string)

QdrantCreateCollection creates a collection in qdrant

Tags:

@displayName: Create Qdrant Collection

Params:

collectionName (string): The name of the collection
vectorSize (uint64): The size of the vectors stored in this collection
vectorDistance (string): The distance metric to use of vector similarity search (cosine, dot, euclid, manhattan)

func QdrantCreateIndex#

func QdrantCreateIndex(collectionName string, fieldName string, fieldType string, wait bool)

QdrantCreateIndex creates a field index on a qdrant collection

Tags:

@displayName: Create Qdrant Index

Params:

collectionName (string): The name of the collection
fieldName (string): The name of the payload field to create an index on
fieldType (string): The qdrant type that the payload field is expected to be
wait (bool): Whether to wait for the index to be created or return immediately & continue indexing in background

func QdrantInsertData#

func QdrantInsertData(collectionName string, data []interface{}, idFieldName string, vectorFieldName string)

QdrantInsertData inserts data into a collection in qdrant

Tags:

@displayName: Insert Data into Qdrant

Params:

collectionName (string): The name of the collection
data ([]interface{}): The data points to insert (func will fail if elements are not `map[string]any`)
idFieldName (string): The name of the field to use as the ID
vectorFieldName (string): The name of the field to use as the vector

func RetrieveDependencies#

func RetrieveDependencies(relationshipName string, relationshipDirection string, sourceDocumentId string, nodeTypesFilter sharedtypes.DbArrayFilter, maxHopsNumber int) (dependenciesIds []string)

RetrieveDependencies retrieves the dependencies of the specified source node.

The function returns the list of dependencies.

Tags:

@displayName: Retrieve Dependencies

Parameters:

relationshipName: the name of the relationship to retrieve dependencies for.
relationshipDirection: the direction of the relationship to retrieve dependencies for.
sourceDocumentId: the document ID of the source node.
nodeTypesFilter: filter based on node types.
maxHopsNumber: maximum number of hops to traverse.

Returns:

dependenciesIds: the list of dependencies

func SelectedSolution#

func SelectedSolution(selectedSolution string) (solution string)

SelectedSolution this function parse the selected solution

Tags:

@displayName: SelectedSolution

Parameters:

selectedSolution: selected solution found by the LLM

Returns:

solution: parsed solution

func SendLogicAppNotificationEmail#

func SendLogicAppNotificationEmail(logicAppEndpoint string, email string, subject string, content string)

SendLogicAppNotificationEmail sends a POST request to the email service.

Tags:

@displayName: Send Email Notification

Parameters:

endpoint: The email service endpoint.
email: The email address.
subject: The email subject.
content: The email content.

func SendRestAPICall#

func SendRestAPICall(requestType string, endpoint string, header map[string]string, query map[string]string, jsonBody string) (success bool, returnJsonBody string)

SendAPICall sends an API call to the specified URL with the specified headers and query parameters.

Tags:

@displayName: REST Call

Parameters:

requestType: the type of the request (GET, POST, PUT, PATCH, DELETE)
urlString: the URL to send the request to
headers: the headers to include in the request
query: the query parameters to include in the request
jsonBody: the body of the request as a JSON string

Returns:

success: a boolean indicating whether the request was successful
returnJsonBody: the JSON body of the response as a string

func SendVectorsToKnowledgeDB#

func SendVectorsToKnowledgeDB(vector []float32, keywords []string, keywordsSearch bool, collection string, similaritySearchResults int, similaritySearchMinScore float64) (databaseResponse []sharedtypes.DbResponse)

SendVectorsToKnowledgeDB sends the given vector to the KnowledgeDB and returns the most relevant data. The number of results is specified in the config file. The keywords are used to filter the results. The min score filter is also specified in the config file. If it is not specified, the default value is used.

The function returns the most relevant data.

Tags:

@displayName: Similarity Search

Parameters:

vector: the vector to be sent to the KnowledgeDB
keywords: the keywords to be used to filter the results
keywordsSearch: the flag to enable the keywords search
collection: the collection name
similaritySearchResults: the number of results to be returned
similaritySearchMinScore: the minimum score for the results

Returns:

databaseResponse: an array of the most relevant data

func SerializeResponse#

func SerializeResponse(criteriaSuggestions []sharedtypes.MaterialCriterionWithGuid, tokens int, traceID string, spanID string) (result string, childSpanID string)

SerializeResponse formats the criteria to a response suitable for the UI clients in string format

Tags:

@displayName: Serialize response for clients

Parameters:

tokens: tokens consumed by the request
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

result: string representation of the response in JSON format
childSpanID: the child span ID created for this operation

func SetCopilotGenerateRequestJsonBody#

func SetCopilotGenerateRequestJsonBody(query string, sessionID string, mode string, timeout int, priority int, agentPreference string, saveIntermediate bool, similarityTopK int, noCritique bool, maxIterations int, forceAzure bool) (jsonBody string)

SetGenerateRequestJsonBody creates a JSON body for the generate request to RHSC Copilot. It takes various parameters to configure the request and returns the JSON string.

Tags:

@displayName: Copilot Generate Request JSON Body

Parameters:

query: the query string for the request.
sessionID: the session ID for the request.
mode: the mode of operation for the request.
timeout: the timeout for the request in seconds.
priority: the priority of the request.
agentPreference: the preferred agent for the request.
saveIntermediate: whether to save intermediate results.
similarityTopK: the number of top similar results to consider.
noCritique: whether to disable critique.
maxIterations: the maximum number of iterations for the request.
forceAzure: whether to force the use of Azure for the request.

func ShortenMessageHistory#

func ShortenMessageHistory(history []sharedtypes.HistoricMessage, maxLength int) (updatedHistory []sharedtypes.HistoricMessage)

ShortenMessageHistory shortens the conversation history to a maximum length. It will retain only the most recent messages and older messages will be removed.

Tags:

@displayName: Shorten History

Parameters:

history: the conversation history
maxLength: the maximum length of the conversation history

Returns:

updatedHistory: the updated conversation history

func SimilaritySearch#

func SimilaritySearch(collectionName string, embeddedVector []float32, maxRetrievalCount int, filters sharedtypes.DbFilters, minScore float64, getLeafNodes bool, getSiblings bool, getParent bool, getChildren bool) (databaseResponse []sharedtypes.DbResponse)

SimilaritySearch performs a similarity search in the KnowledgeDB.

The function returns the similarity search results.

Tags:

@displayName: Similarity Search (Filtered)

Parameters:

collectionName: the name of the collection to which the data objects will be added.
embeddedVector: the embedded vector used for searching.
maxRetrievalCount: the maximum number of results to be retrieved.
outputFields: the fields to be included in the output.
filters: the filter for the query.
minScore: the minimum score filter.
getLeafNodes: flag to indicate whether to retrieve all the leaf nodes in the result node branch.
getSiblings: flag to indicate whether to retrieve the previous and next node to the result nodes.
getParent: flag to indicate whether to retrieve the parent object.
getChildren: flag to indicate whether to retrieve the children objects.

Returns:

databaseResponse: the similarity search results

func SimilartitySearchOnPathDescriptions#

func SimilartitySearchOnPathDescriptions(instruction string, toolName string) (descriptions []string)

SimilartitySearchOnPathDescriptions do similarity search on path description

Tags:

@displayName: SimilartitySearchOnPathDescriptions

Parameters:

instruction: the user query
toolName: the tool name

Returns:

descriptions: the list of descriptions

func SimilartitySearchOnPathDescriptionsQdrant#

func SimilartitySearchOnPathDescriptionsQdrant(vector []float32, collection string, similaritySearchResults int, similaritySearchMinScore float64) (descriptions []string)

SimilartitySearchOnPathDescriptions (Qdrant) do similarity search on path description

Tags:

@displayName: SimilartitySearchOnPathDescriptions (Qdrant)

Parameters:

instruction: the user query
toolName: the tool name

Returns:

descriptions: the list of descriptions

func StartTrace#

func StartTrace() (traceID string, spanID string)

StartTrace generates a new trace ID and span ID for tracing

Tags:

@displayName: Start new trace

Parameters:

str: a string

Returns:

traceID: a 128-bit trace ID in decimal format
spanID: a 64-bit span ID in decimal format

func StoreElementsInGraphDatabase#

func StoreElementsInGraphDatabase(elements []sharedtypes.CodeGenerationElement)

StoreElementsInGraphDatabase stores elements in the graph database.

Tags:

@displayName: Store Elements in Graph Database

Parameters:

elements: code generation elements.

func StoreElementsInVectorDatabase#

func StoreElementsInVectorDatabase(elements []sharedtypes.CodeGenerationElement, elementsCollectionName string, batchSize int, vectorDistance string)

StoreElementsInVectorDatabase stores elements in the vector database.

Tags:

@displayName: Store Elements in Vector Database

Parameters:

elements: code generation elements.
elementsCollectionName: name of the collection.
batchSize: batch size for embeddings.
vectorDistance: the distance metric to use for the vector index (cosine, dot, euclid, manhattan)

func StoreExamplesInGraphDatabase#

func StoreExamplesInGraphDatabase(examples []sharedtypes.CodeGenerationExample)

StoreExamplesInGraphDatabase stores examples in the graph database.

Tags:

@displayName: Store Examples in Graph Database

Parameters:

examples: code generation examples.

func StoreExamplesInVectorDatabase#

func StoreExamplesInVectorDatabase(examples []sharedtypes.CodeGenerationExample, examplesCollectionName string, batchSize int, vectorDistance string)

StoreExamplesInVectorDatabase stores examples in the vector database.

Tags:

@displayName: Store Examples in Vector Database

Parameters:

examples: code generation examples.
examplesCollectionName: name of the collection.
batchSize: batch size for embeddings.
vectorDistance: the distance metric to use for the vector index (cosine, dot, euclid, manhattan)

func StoreUserGuideSectionsInGraphDatabase#

func StoreUserGuideSectionsInGraphDatabase(sections []sharedtypes.CodeGenerationUserGuideSection)

StoreUserGuideSectionsInGraphDatabase stores user guide sections in the graph database.

Tags:

@displayName: Store User Guide Sections in Graph Database

Parameters:

elements: user guide sections.
label: label for the sections (UserGuide by default).

func StoreUserGuideSectionsInVectorDatabase#

func StoreUserGuideSectionsInVectorDatabase(sections []sharedtypes.CodeGenerationUserGuideSection, userGuideCollectionName string, batchSize int, chunkSize int, chunkOverlap int, vectorDistance string)

StoreUserGuideSectionsInVectorDatabase stores user guide sections in the vector database.

Tags:

@displayName: Store User Guide Sections in Vector Database

Parameters:

sections: user guide sections.
userGuideCollectionName: name of the collection.
batchSize: batch size for embeddings.
chunkSize: size of the chunks.
chunkOverlap: overlap of the chunks.
vectorDistance: the distance metric to use for the vector index (cosine, dot, euclid, manhattan)

func StringConcat#

func StringConcat(a string, b string, separator string) string

StringConcat concatenates 2 strings together, with an optional separator.

Tags:

@displayName: Concatenate Strings

Parameters

a (string) the first string
b (string) the second string
separator (string) the separator string. If not provided, will be an empty string.

func StringFormat#

func StringFormat(data any, format string) string

StringFormat formats any data as a string.

Use this to turn non-string data into a string representation. This uses go’s `fmt.Sprintf` under the hood.

Tags:

@displayName: Format data as string

Parameters

data (any): the data to format as a string
format (string): the format specifier to use. If not provided will default to “%v”. See the [go fmt docs](https://pkg.go.dev/fmt) for details.

func SynthesizeActions#

func SynthesizeActions(message string, properties []string, actions []map[string]string) (updatedActions []map[string]string)

SynthesizeActions update action as per user instruction

Tags:

@displayName: SynthesizeActions

Parameters:

message: the message from the llm
properties: the list of properties
actions: the list of actions

Returns:

updatedActions: the list of synthesized actions

func SynthesizeActionsTool11#

func SynthesizeActionsTool11(content string) (result string)

SynthesizeActionsTool11 synthesize actions based on user instruction

Tags:

@displayName: SynthesizeActionsTool11

Parameters:

content: the llm content

Returns:

result: the synthesized string

func SynthesizeActionsTool12#

func SynthesizeActionsTool12(content string) (result string)

SynthesizeActionsTool12 synthesize actions based on user instruction

Tags:

@displayName: SynthesizeActionsTool12

Parameters:

content: the llm content

Returns:

result: the synthesized string

func SynthesizeActionsTool17#

func SynthesizeActionsTool17(content string) (result string)

SynthesizeActionsTool17 synthesize actions based on user instruction

Tags:

@displayName: SynthesizeActionsTool17

Parameters:

content: the llm content

Returns:

result: the synthesized string

func SynthesizeActionsTool2#

func SynthesizeActionsTool2(message string, actions []map[string]string) (updatedActions []map[string]string)

SynthesizeActionsTool2 update action as per user instruction

Tags:

@displayName: SynthesizeActionsTool2

Parameters:

message: the message from the llm
actions: the list of actions

Returns:

updatedActions: the list of synthesized actions

func UpdateTotalTokenCountForCustomerKvDb#

func UpdateTotalTokenCountForCustomerKvDb(kvdbEndpoint string, apiKey string, additionalTokenCount int, traceID string, spanID string) (tokenLimitReached bool, childSpanID string)

UpdateTotalTokenCountForCustomerKvDb updates the total token count for a customer in the KVDB

Tags:

@displayName: Update Customer Token Count

Parameters:

kvdbEndpoint: the KVDB endpoint
apiKey: The API key of the customer
additionalTokenCount: The number of tokens to add to the customer’s total token count
traceID: the trace ID in decimal format
spanID: the span ID in decimal format

Returns:

tokenLimitReached: true if the new total token count exceeds the customer’s token limit, false otherwise
childSpanID: the child span ID created for this operation

func UpdateTotalTokenCountForCustomerMongoDb#

func UpdateTotalTokenCountForCustomerMongoDb(apiKey string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string, additionalTokenCount int) (tokenLimitReached bool)

UpdateTotalTokenCountForCustomerMongoDb updates the total token count for the given customer in the MongoDB database.

Tags:

@displayName: Update Total Token Count

Parameters:

apiKey: The API key of the customer.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.
additionalTokenCount: The number of additional tokens to add to the total token count.

Returns:

tokenLimitReached: A boolean indicating whether the customer has reached the token limit.

func UpdateTotalTokenCountForUserIdMongoDb#

func UpdateTotalTokenCountForUserIdMongoDb(userId string, mongoDbUrl string, mongoDatabaseName string, mongoDbCollectionName string, additionalInputTokenCount int, additionalOutputTokenCount int, hoursUntilTokenLimitReset int) (tokenLimitReached bool)

UpdateTotalTokenCountForUserIdMongoDb updates the total token count for the given user ID in the MongoDB database.

Tags:

@displayName: Update Total Token Count by User ID

Parameters:

userId: The user ID of the customer.
mongoDbUrl: The URL of the MongoDB database.
mongoDatabaseName: The name of the MongoDB database.
mongoDbCollectionName: The name of the MongoDB collection.
additionalTokenCount: The number of additional tokens to add to the total token count.

Returns:

tokenLimitReached: A boolean indicating whether the customer has reached the token limit.

type ACSSearchRequest#

ACSRequest represents the request structure for the Azure Cognitive Search.

type ACSSearchRequest struct {
    Search                string           `json:"search"`
    VectorQueries         []ACSVectorQuery `json:"vectorQueries"`
    VectorFilterMode      string           `json:"vectorFilterMode"`
    Filter                string           `json:"filter"`
    QueryType             string           `json:"queryType"`
    SemanticConfiguration string           `json:"semanticConfiguration"`
    Top                   int              `json:"top"`
    Select                string           `json:"select"`
    Count                 bool             `json:"count"`
}

type ACSSearchResponseALH#

ACSSearchResponse represents the response structure for the Azure Cognitive Search for ansysgpt-alh & ansysgpt-scbu.

type ACSSearchResponseALH struct {
    SourcetitleSAP      string  `json:"sourcetitleSAP"`
    SourceURLSAP        string  `json:"sourceURLSAP"`
    SourcetitleDCB      string  `json:"sourcetitleDCB"`
    SourceURLDCB        string  `json:"sourceURLDCB"`
    Content             string  `json:"content"`
    TypeOFasset         string  `json:"typeOFasset"`
    Physics             string  `json:"physics"`
    Product             string  `json:"product"`
    Version             string  `json:"version"`
    Weight              float64 `json:"weight"`
    TokenSize           int     `json:"token_size"`
    SearchScore         float64 `json:"@search.score"`
    SearchRerankerScore float64 `json:"@search.rerankerScore"`
    IndexName           string  `json:"indexName"`
}

type ACSSearchResponseCrtech#

ACSSearchResponseCrtech represents the response structure for the Azure Cognitive Search for external-crtech-thermal-desktop.

type ACSSearchResponseCrtech struct {
    Physics             string  `json:"physics"`
    SourceTitleLvl3     string  `json:"sourceTitle_lvl3"`
    SourceURLLvl3       string  `json:"sourceURL_lvl3"`
    TokenSize           int     `json:"token_size"`
    SourceTitleLvl2     string  `json:"sourceTitle_lvl2"`
    Weight              float64 `json:"weight"`
    SourceURLLvl2       string  `json:"sourceURL_lvl2"`
    Product             string  `json:"product"`
    Content             string  `json:"content"`
    TypeOFasset         string  `json:"typeOFasset"`
    Version             string  `json:"version"`
    BridgeId            string  `json:"bridge_id"`
    SearchScore         float64 `json:"@search.score"`
    SearchRerankerScore float64 `json:"@search.rerankerScore"`
    IndexName           string  `json:"indexName"`
}

type ACSSearchResponseLSdyna#

ACSSearchResponse represents the response structure for the Azure Cognitive Search for lsdyna-documentation-r14.

type ACSSearchResponseLSdyna struct {
    Title               string  `json:"title"`
    Url                 string  `json:"url"`
    Content             string  `json:"content"`
    TypeOFasset         string  `json:"typeOFasset"`
    Physics             string  `json:"physics"`
    Product             string  `json:"product"`
    TokenSize           int     `json:"token_size"`
    SearchScore         float64 `json:"@search.score"`
    SearchRerankerScore float64 `json:"@search.rerankerScore"`
    IndexName           string  `json:"indexName"`
}

type ACSSearchResponseStruct#

ACSSearchResponseStruct represents the response structure for the Azure Cognitive Search for granular-ansysgpt, ansysgpt-documentation-2023r2, scade-documentation-2023r2, ansys-dot-com-marketing.

type ACSSearchResponseStruct struct {
    OdataContext string                          `json:"@odata.context"`
    OdataCount   int                             `json:"@odata.count"`
    Value        []sharedtypes.ACSSearchResponse `json:"value"`
}

type ACSSearchResponseStructALH#

ACSSearchResponseStruct represents the response structure for the Azure Cognitive Search for ansysgpt-alh & ansysgpt-scbu.

type ACSSearchResponseStructALH struct {
    OdataContext string                 `json:"@odata.context"`
    OdataCount   int                    `json:"@odata.count"`
    Value        []ACSSearchResponseALH `json:"value"`
}

type ACSSearchResponseStructCrtech#

ACSSearchResponseStructCrtech represents the response structure for the Azure Cognitive Search for external-crtech-thermal-desktop.

type ACSSearchResponseStructCrtech struct {
    OdataContext string                    `json:"@odata.context"`
    OdataCount   int                       `json:"@odata.count"`
    Value        []ACSSearchResponseCrtech `json:"value"`
}

type ACSSearchResponseStructLSdyna#

ACSSearchResponseStruct represents the response structure for the Azure Cognitive Search for lsdyna-documentation-r14.

type ACSSearchResponseStructLSdyna struct {
    OdataContext string                    `json:"@odata.context"`
    OdataCount   int                       `json:"@odata.count"`
    Value        []ACSSearchResponseLSdyna `json:"value"`
}

type ACSVectorQuery#

ACSVectorQuery represents the vector query structure for the Azure Cognitive Search.

type ACSVectorQuery struct {
    Kind   string    `json:"kind"`
    K      int       `json:"k"`
    Vector []float32 `json:"vector"`
    Fields string    `json:"fields"`
}

type AnsysGPTRetrieverModuleRequest#

AnsysGPTRetrieverModuleRequest represents the request structure for the Ansys GPT Retriever Module.

type AnsysGPTRetrieverModuleRequest struct {
    UserInput     string `json:"user_input"`
    DataSource    string `json:"data_source"`
    FilterPhysics string `json:"filter_physics"`
    NumDocs       int    `json:"num_docs"`
    Platform      string `json:"platform"`
}

type AppendMessageHistoryRole#

type AppendMessageHistoryRole string

type DataExtractionBranch#

DataExtractionBranch represents the branch structure for the data extraction.

type DataExtractionBranch struct {
    Text             string
    ChildDataObjects []*sharedtypes.DbData
    ChildDataIds     []uuid.UUID
}

type DataExtractionLLMInputChannelItem#

DataExtractionLLMInputChannelItem represents the input channel item for the data extraction llm handler workers.

type DataExtractionLLMInputChannelItem struct {
    Data                *sharedtypes.DbData
    Adapter             string
    ChatRequestType     string
    MaxNumberOfKeywords uint32

    InstructionSequenceWaitGroup *sync.WaitGroup
    Lock                         *sync.Mutex

    EmbeddingVector []float32
    Summary         string
    Keywords        []string
    CollectionName  string
}

type DataExtractionSplitterServiceRequest#

type DataExtractionSplitterServiceRequest struct {
    DocumentContent []byte `json:"document_content"`
    ChunkSize       int    `json:"chunk_size"`
    ChunkOverlap    int    `json:"chunk_overlap"`
}

type DataExtractionSplitterServiceResponse#

type DataExtractionSplitterServiceResponse struct {
    Chunks []string `json:"chunks"`
}

type EmailRequest#

EmailRequest represents the structure of the POST request body

type EmailRequest struct {
    Email   string `json:"email"`
    Subject string `json:"subject"`
    Content string `json:"content"`
}

type GeneralDataExtractionDocument#

type GeneralDataExtractionDocument struct {
    DocumentName  string           `json:"document_name"`
    Guid          string           `json:"guid"`
    PreviousChunk string           `json:"previous_chunk"`
    NextChunk     string           `json:"next_chunk"`
    DenseVector   []float32        `json:"dense_vector"`
    SparseVector  map[uint]float32 `json:"sparse_vector"`
    Text          string           `json:"text"`
}

type LlmCriteria#

type LlmCriteria struct {
    Criteria []sharedtypes.MaterialLlmCriterion
}

type MongoDbContext#

MongoDbContext is the structure for the mongodb client

type MongoDbContext struct {
    Client     *mongo.Client
    Database   *mongo.Database
    Collection *mongo.Collection
}

type MongoDbCustomerObject#

type MongoDbCustomerObject struct {
    ApiKey          string `bson:"api_key"`
    CustomerName    string `bson:"customer_name"`
    AccessDenied    bool   `bson:"access_denied"`
    TotalTokenCount int    `bson:"total_token_usage"`
    TokenLimit      int    `bson:"token_limit"`
    WarningSent     bool   `bson:"warning_sent"`
}

type MongoDbCustomerObjectDisco#

type MongoDbCustomerObjectDisco struct {
    UserId              string   `bson:"user_id"`
    AccessDenied        bool     `bson:"access_denied"`
    ModelId             []string `bson:"model_id"`
    InputTokenCount     int      `bson:"input_token_count"`
    OutputTokenCount    int      `bson:"output_token_count"`
    TokenLimit          int      `bson:"token_limit"`
    TokenLimitTimestamp int64    `bson:"token_limit_timestamp"`
    WarningSent         bool     `bson:"warning_sent"`
}

type Response#

type Response struct {
    Criteria []sharedtypes.MaterialCriterionWithGuid
    Tokens   int
}

type TokenCountUpdateRequest#

type TokenCountUpdateRequest struct {
    InputToken  int    `json:"input_token"`
    OutputToken int    `json:"output_token"`
    Platform    string `json:"platform"`
}

Generated by gomarkdoc