## Update Test Criteria Configuration `client.Evaluations.Tasks.Update(ctx, alias, params) (*Evaluation, error)` **patch** `/v5/evaluations/{evaluation_id}/tasks/{alias}` Replace the full configuration of a single test criteria, identified by its alias. The alias must match an existing test criteria on the evaluation, and the replacement configuration is validated against the evaluation's current items before being applied. The request is rejected if the evaluation is archived, if no test criteria matches the alias, or if any contributor annotation task for the evaluation has already been claimed or completed — at that point labelers are in-flight and mutating the task definition would corrupt their work. ### Parameters - `alias string` - `params EvaluationTaskUpdateParams` - `EvaluationID param.Field[string]` Path param - `Configuration param.Field[map[string, any]]` Body param: Full replacement for the test criteria's configuration JSON. Only allowed when no contributor annotation tasks for this evaluation have been claimed or completed. ### Returns - `type Evaluation struct{…}` - `ID string` The unique identifier of the entity. - `CreatedAt Time` The date and time when the entity was created in ISO format. - `CreatedBy Identity` The identity that created the entity. - `ID string` - `Type IdentityType` - `const IdentityTypeUser IdentityType = "user"` - `const IdentityTypeServiceAccount IdentityType = "service_account"` - `Object IdentityObject` - `const IdentityObjectIdentity IdentityObject = "identity"` - `Datasets []Dataset` - `ID string` The unique identifier of the entity. - `CreatedAt Time` The date and time when the entity was created in ISO format. - `CreatedBy Identity` The identity that created the entity. - `CurrentVersionNum int64` - `Name string` - `Tags []string` The tags associated with the entity - `ArchivedAt Time` The date and time when the entity was archived in ISO format. - `Description string` - `Object DatasetObject` - `const DatasetObjectDataset DatasetObject = "dataset"` - `Name string` - `Status EvaluationStatus` - `const EvaluationStatusFailed EvaluationStatus = "failed"` - `const EvaluationStatusCompleted EvaluationStatus = "completed"` - `const EvaluationStatusRunning EvaluationStatus = "running"` - `Tags []string` The tags associated with the entity - `ArchivedAt Time` The date and time when the entity was archived in ISO format. - `Description string` - `ErrorCount int64` Number of task errors across all items in this evaluation. - `Metadata map[string, any]` Metadata key-value pairs for the evaluation - `Object EvaluationObject` - `const EvaluationObjectEvaluation EvaluationObject = "evaluation"` - `Progress EvaluationTasksProgressSchema` Progress of the evaluation's underlying async job - `Items EvaluationTasksProgressSchemaItems` - `Failed int64` - `Pending int64` - `Successful int64` - `Total int64` - `FailedItems []EvaluationTasksProgressSchemaItemsFailedItem` - `ItemID string` - `Error string` - `ErrorType string` - `Workflows EvaluationTasksProgressSchemaWorkflows` - `Completed int64` - `Failed int64` - `Pending int64` - `Total int64` - `StatusReason string` Reason for evaluation status - `Tasks []EvaluationTaskUnion` Tasks executed during evaluation. Populated with optional `task` view. - `type EvaluationTaskChatCompletion struct{…}` - `Configuration EvaluationTaskChatCompletionConfiguration` - `Messages EvaluationTaskChatCompletionConfigurationMessagesUnion` openai standard message format - `type EvaluationTaskChatCompletionConfigurationMessagesArray []map[string, any]` - `type ItemLocator string` - `Model string` model specified as `model_vendor/model`, for example `openai/gpt-4o` - `Audio EvaluationTaskChatCompletionConfigurationAudioUnion` Parameters for audio output. Required when audio output is requested with modalities: ['audio']. - `type EvaluationTaskChatCompletionConfigurationAudioMap map[string, any]` - `type ItemLocator string` - `FrequencyPenalty EvaluationTaskChatCompletionConfigurationFrequencyPenaltyUnion` Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far. - `float64` - `type ItemLocator string` - `FunctionCall EvaluationTaskChatCompletionConfigurationFunctionCallUnion` Deprecated in favor of tool_choice. Controls which function is called by the model. - `type EvaluationTaskChatCompletionConfigurationFunctionCallMap map[string, any]` - `type ItemLocator string` - `Functions EvaluationTaskChatCompletionConfigurationFunctionsUnion` Deprecated in favor of tools. A list of functions the model may generate JSON inputs for. - `type EvaluationTaskChatCompletionConfigurationFunctionsArray []map[string, any]` - `type ItemLocator string` - `LogitBias EvaluationTaskChatCompletionConfigurationLogitBiasUnion` Modify the likelihood of specified tokens appearing in the completion. Maps tokens to bias values from -100 to 100. - `type EvaluationTaskChatCompletionConfigurationLogitBiasMap map[string, int64]` - `type ItemLocator string` - `Logprobs EvaluationTaskChatCompletionConfigurationLogprobsUnion` Whether to return log probabilities of the output tokens or not. - `bool` - `type ItemLocator string` - `MaxCompletionTokens EvaluationTaskChatCompletionConfigurationMaxCompletionTokensUnion` An upper bound for the number of tokens that can be generated, including visible output tokens and reasoning tokens. - `int64` - `type ItemLocator string` - `MaxTokens EvaluationTaskChatCompletionConfigurationMaxTokensUnion` Deprecated in favor of max_completion_tokens. The maximum number of tokens to generate. - `int64` - `type ItemLocator string` - `Metadata EvaluationTaskChatCompletionConfigurationMetadataUnion` Developer-defined tags and values used for filtering completions in the dashboard. - `type EvaluationTaskChatCompletionConfigurationMetadataMap map[string, string]` - `type ItemLocator string` - `Modalities EvaluationTaskChatCompletionConfigurationModalitiesUnion` Output types that you would like the model to generate for this request. - `type EvaluationTaskChatCompletionConfigurationModalitiesArray []string` - `type ItemLocator string` - `N EvaluationTaskChatCompletionConfigurationNUnion` How many chat completion choices to generate for each input message. - `int64` - `type ItemLocator string` - `ParallelToolCalls EvaluationTaskChatCompletionConfigurationParallelToolCallsUnion` Whether to enable parallel function calling during tool use. - `bool` - `type ItemLocator string` - `Prediction EvaluationTaskChatCompletionConfigurationPredictionUnion` Static predicted output content, such as the content of a text file being regenerated. - `type EvaluationTaskChatCompletionConfigurationPredictionMap map[string, any]` - `type ItemLocator string` - `PresencePenalty EvaluationTaskChatCompletionConfigurationPresencePenaltyUnion` Number between -2.0 and 2.0. Positive values penalize tokens based on whether they appear in the text so far. - `float64` - `type ItemLocator string` - `ReasoningEffort string` For o1 models only. Constrains effort on reasoning. Values: low, medium, high. - `ResponseFormat EvaluationTaskChatCompletionConfigurationResponseFormatUnion` An object specifying the format that the model must output. - `type EvaluationTaskChatCompletionConfigurationResponseFormatMap map[string, any]` - `type ItemLocator string` - `Seed EvaluationTaskChatCompletionConfigurationSeedUnion` If specified, system will attempt to sample deterministically for repeated requests with same seed. - `int64` - `type ItemLocator string` - `Stop EvaluationTaskChatCompletionConfigurationStopUnion` Up to 4 sequences where the API will stop generating further tokens. - `string` - `type EvaluationTaskChatCompletionConfigurationStopArray []string` - `Store EvaluationTaskChatCompletionConfigurationStoreUnion` Whether to store the output for use in model distillation or evals products. - `bool` - `type ItemLocator string` - `Temperature EvaluationTaskChatCompletionConfigurationTemperatureUnion` What sampling temperature to use. Higher values make output more random, lower more focused. - `float64` - `type ItemLocator string` - `ToolChoice EvaluationTaskChatCompletionConfigurationToolChoiceUnion` Controls which tool is called by the model. Values: none, auto, required, or specific tool. - `string` - `type EvaluationTaskChatCompletionConfigurationToolChoiceMap map[string, any]` - `Tools EvaluationTaskChatCompletionConfigurationToolsUnion` A list of tools the model may call. Currently, only functions are supported. Max 128 functions. - `type EvaluationTaskChatCompletionConfigurationToolsArray []map[string, any]` - `type ItemLocator string` - `TopK EvaluationTaskChatCompletionConfigurationTopKUnion` Only sample from the top K options for each subsequent token - `int64` - `type ItemLocator string` - `TopLogprobs EvaluationTaskChatCompletionConfigurationTopLogprobsUnion` Number of most likely tokens to return at each position, with associated log probability. - `int64` - `type ItemLocator string` - `TopP EvaluationTaskChatCompletionConfigurationTopPUnion` Alternative to temperature. Only tokens comprising top_p probability mass are considered. - `float64` - `type ItemLocator string` - `Alias string` Alias to title the results column. Defaults to the `chat_completion` - `TaskType string` - `const EvaluationTaskChatCompletionTaskTypeChatCompletion EvaluationTaskChatCompletionTaskType = "chat_completion"` - `type EvaluationTaskInference struct{…}` - `Configuration EvaluationTaskInferenceConfiguration` - `Model string` model specified as `vendor/name` (ex. openai/gpt-5) - `Args EvaluationTaskInferenceConfigurationArgsUnion` Arguments passed into model - `type EvaluationTaskInferenceConfigurationArgsMap map[string, any]` - `type ItemLocator string` - `InferenceConfiguration EvaluationTaskInferenceConfigurationInferenceConfigurationUnion` Vendor specific configuration - `type LaunchInferenceConfiguration struct{…}` - `NumRetries int64` - `TimeoutSeconds int64` - `type ItemLocator string` - `Alias string` Alias to title the results column. Defaults to the `inference` - `TaskType string` - `const EvaluationTaskInferenceTaskTypeInference EvaluationTaskInferenceTaskType = "inference"` - `type EvaluationTaskApplicationVariant struct{…}` - `Configuration EvaluationTaskApplicationVariantConfiguration` - `ApplicationVariantID string` - `Inputs EvaluationTaskApplicationVariantConfigurationInputsUnion` Input data for the application. For agents service variants, you must provide inputs as a mapping from `{input_name: input_value}`. For V0 variants, you must specify the node your input should be passed to, structuring your input as `{node_id: {input_name: input_value}}`. - `type EvaluationTaskApplicationVariantConfigurationInputsMap map[string, any]` - `type ItemLocator string` - `History EvaluationTaskApplicationVariantConfigurationHistoryUnion` History of the application - `type EvaluationTaskApplicationVariantConfigurationHistoryApplicationRequestResponsePairArray []EvaluationTaskApplicationVariantConfigurationHistoryApplicationRequestResponsePairArrayItem` - `Request string` Request inputs - `Response string` Response outputs - `SessionData map[string, any]` Session data corresponding to the request response pair - `type ItemLocator string` - `OperationMetadata EvaluationTaskApplicationVariantConfigurationOperationMetadataUnion` Arbitrary user-defined metadata that can be attached to the process operations and will be registered in the interaction. - `type EvaluationTaskApplicationVariantConfigurationOperationMetadataMap map[string, any]` - `type ItemLocator string` - `OverridesProperty EvaluationTaskApplicationVariantConfigurationOverridesUnion` Optional overrides for the application - `type EvaluationTaskApplicationVariantConfigurationOverridesAgenticApplicationOverrides struct{…}` Execution override options for agentic applications - `Concurrent bool` - `InitialState EvaluationTaskApplicationVariantConfigurationOverridesAgenticApplicationOverridesInitialState` - `CurrentNode string` - `State map[string, any]` - `PartialTrace []EvaluationTaskApplicationVariantConfigurationOverridesAgenticApplicationOverridesPartialTrace` - `DurationMs int64` - `NodeID string` - `OperationInput string` - `OperationOutput string` - `OperationType string` - `StartTimestamp string` - `WorkflowID string` - `OperationMetadata map[string, any]` - `ReturnSpan bool` - `UseChannels bool` - `type EvaluationTaskApplicationVariantConfigurationOverridesMap map[string, EvaluationTaskApplicationVariantConfigurationOverridesMapItem]` - `ArtifactIDsFilter []string` - `ArtifactNameRegex []string` - `Type string` - `const EvaluationTaskApplicationVariantConfigurationOverridesMapItemTypeKnowledgeBaseSchema EvaluationTaskApplicationVariantConfigurationOverridesMapItemType = "knowledge_base_schema"` - `type ItemLocator string` - `Alias string` Alias to title the results column. Defaults to the `application_variant` - `TaskType string` - `const EvaluationTaskApplicationVariantTaskTypeApplicationVariant EvaluationTaskApplicationVariantTaskType = "application_variant"` - `type EvaluationTaskAgentexOutput struct{…}` - `Configuration EvaluationTaskAgentexOutputConfiguration` - `AgentexAgentID string` The ID of the Agentex agent to use - `InputColumn EvaluationTaskAgentexOutputConfigurationInputColumnUnion` The dataset column to use as input for the agent - `string` - `type EvaluationTaskAgentexOutputConfigurationInputColumnMap map[string, any]` - `type EvaluationTaskAgentexOutputConfigurationInputColumnArray []any` - `AgentTaskParams EvaluationTaskAgentexOutputConfigurationAgentTaskParamsUnion` Extra params merged into the Agentex `task/create` call's `params` object and forwarded verbatim to the agent. Required by agents that demand configuration at task creation -- the golden agent, for example, rejects any task whose params omit `config_id`. SGP always pins `is_eval: true`; a caller-supplied `description` overrides the SGP default. Nested `item.`-prefixed strings and `{{item.x}}` templates are resolved per evaluation item, so a per-row `config_id` can come from a dataset column. - `type EvaluationTaskAgentexOutputConfigurationAgentTaskParamsMap map[string, any]` - `type ItemLocator string` - `CompletionMode string` How the agent's first turn is judged finished. `first_message` (the default) grades the first non-empty agent text message after the input, which is cheap but grades a streaming harness on whatever text block streamed first. `turn_quiescence` keeps listening while the agent is still producing messages and grades once at least one agent text message exists and nothing new has arrived for `quiescence_seconds` -- the right choice for tool-using agents. Neither mode requires the agent to mark the task complete; a terminal task status always ends the wait, and `timeout_seconds` always bounds it. - `const EvaluationTaskAgentexOutputConfigurationCompletionModeFirstMessage EvaluationTaskAgentexOutputConfigurationCompletionMode = "first_message"` - `const EvaluationTaskAgentexOutputConfigurationCompletionModeTurnQuiescence EvaluationTaskAgentexOutputConfigurationCompletionMode = "turn_quiescence"` - `DeploymentID string` Optional Agentex deployment ID to pin the eval to a specific deployment. When set, RPC traffic routes through /agents/{agent_id}/deployments/{deployment_id}/rpc. When unset, traffic uses the agent's default RPC endpoint, which resolves through the agent's current routing rules on the Agentex side. - `IncludeTraces EvaluationTaskAgentexOutputConfigurationIncludeTracesUnion` Whether to include trace data in the evaluation results. Traces are read from SGP's own span store for the agent's trace, not from Agentex. - `bool` - `type ItemLocator string` - `InputMode string` How the resolved `input_column` is delivered to the agent. `text` (the default) sends a TextContent message with the value stringified. `data` sends a DataContent message whose `data` is the value as a JSON object; the resolved value must be an object, or a string that parses to one. Most agents accept text only and reject `data`. - `const EvaluationTaskAgentexOutputConfigurationInputModeText EvaluationTaskAgentexOutputConfigurationInputMode = "text"` - `const EvaluationTaskAgentexOutputConfigurationInputModeData EvaluationTaskAgentexOutputConfigurationInputMode = "data"` - `QuiescenceSeconds EvaluationTaskAgentexOutputConfigurationQuiescenceSecondsUnion` Seconds of no new messages before `completion_mode: turn_quiescence` considers the turn finished. Ignored in `first_message` mode. Should exceed the agent's longest expected gap between messages (a slow tool call), or the turn is graded early. - `int64` - `type ItemLocator string` - `TimeoutSeconds EvaluationTaskAgentexOutputConfigurationTimeoutSecondsUnion` Maximum seconds to wait for the agent's first-turn response per item. If not set, the server-side default of 600s applies. Capped at 1500s to stay within the evaluation item activity's 1800s start-to-close budget. - `int64` - `type ItemLocator string` - `Alias string` Alias to title the results column. Defaults to the `agentex_output` - `TaskType string` - `const EvaluationTaskAgentexOutputTaskTypeAgentexOutput EvaluationTaskAgentexOutputTaskType = "agentex_output"` - `type EvaluationTaskMetric struct{…}` - `Configuration EvaluationTaskMetricConfigurationUnion` - `type EvaluationTaskMetricConfigurationBleu struct{…}` - `Candidate string` - `Reference string` - `Type Bleu` - `const BleuBleu Bleu = "bleu"` - `type EvaluationTaskMetricConfigurationMeteor struct{…}` - `Candidate string` - `Reference string` - `Type Meteor` - `const MeteorMeteor Meteor = "meteor"` - `type EvaluationTaskMetricConfigurationCosineSimilarity struct{…}` - `Candidate string` - `Reference string` - `Type CosineSimilarity` - `const CosineSimilarityCosineSimilarity CosineSimilarity = "cosine_similarity"` - `type EvaluationTaskMetricConfigurationF1 struct{…}` - `Candidate string` - `Reference string` - `Type F1` - `const F1F1 F1 = "f1"` - `type EvaluationTaskMetricConfigurationRouge1 struct{…}` - `Candidate string` - `Reference string` - `Type Rouge1` - `const Rouge1Rouge1 Rouge1 = "rouge1"` - `type EvaluationTaskMetricConfigurationRouge2 struct{…}` - `Candidate string` - `Reference string` - `Type Rouge2` - `const Rouge2Rouge2 Rouge2 = "rouge2"` - `type EvaluationTaskMetricConfigurationRougeL struct{…}` - `Candidate string` - `Reference string` - `Type RougeL` - `const RougeLRougeL RougeL = "rougeL"` - `Alias string` Alias to title the results column. Defaults to the metric type specified in the configuration - `TaskType string` - `const EvaluationTaskMetricTaskTypeMetric EvaluationTaskMetricTaskType = "metric"` - `type EvaluationTaskAutoEvaluationQuestion struct{…}` - `Configuration EvaluationTaskAutoEvaluationQuestionConfiguration` - `Model string` model specified as `model_vendor/model_name` - `Prompt string` - `QuestionID string` question to be evaluated - `Alias string` Alias to title the results column. Defaults to the `auto_evaluation_question` - `TaskType string` - `const EvaluationTaskAutoEvaluationQuestionTaskTypeAutoEvaluationQuestion EvaluationTaskAutoEvaluationQuestionTaskType = "auto_evaluation.question"` - `type EvaluationTaskAutoEvaluationGuidedDecoding struct{…}` - `Configuration EvaluationTaskAutoEvaluationGuidedDecodingConfigurationUnion` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocator struct{…}` - `Model string` model specified as `model_vendor/model_name` - `Prompt string` - `ResponseFormat map[string, any]` JSON schema used for structuring the model response - `InferenceArgs map[string, any]` Additional arguments to pass to the inference request - `RunCondition EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionUnion` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionConst struct{…}` - `Op string` - `const EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionConstOpConst EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionConstOp = "const"` - `Value EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionConstValueUnion` - `string` - `float64` - `bool` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionVar struct{…}` - `Path string` - `Op string` - `const EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionVarOpVar EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationStructuredOutputTaskRequestWithItemLocatorRunConditionVarOp = "var"` - `type EqEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op EqEvaluationRunConditionOp` - `const EqEvaluationRunConditionOpEq EqEvaluationRunConditionOp = "eq"` - `type NeEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op NeEvaluationRunConditionOp` - `const NeEvaluationRunConditionOpNe NeEvaluationRunConditionOp = "ne"` - `type LtEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op LtEvaluationRunConditionOp` - `const LtEvaluationRunConditionOpLt LtEvaluationRunConditionOp = "lt"` - `type LteEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op LteEvaluationRunConditionOp` - `const LteEvaluationRunConditionOpLte LteEvaluationRunConditionOp = "lte"` - `type GtEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op GtEvaluationRunConditionOp` - `const GtEvaluationRunConditionOpGt GtEvaluationRunConditionOp = "gt"` - `type GteEvaluationRunCondition struct{…}` - `Left any` - `Right any` - `Op GteEvaluationRunConditionOp` - `const GteEvaluationRunConditionOpGte GteEvaluationRunConditionOp = "gte"` - `type AndEvaluationRunCondition struct{…}` - `Operands []any` - `Op AndEvaluationRunConditionOp` - `const AndEvaluationRunConditionOpAnd AndEvaluationRunConditionOp = "and"` - `type OrEvaluationRunCondition struct{…}` - `Operands []any` - `Op OrEvaluationRunConditionOp` - `const OrEvaluationRunConditionOpOr OrEvaluationRunConditionOp = "or"` - `type InEvaluationRunCondition struct{…}` - `Left any` - `Operands []any` - `Op InEvaluationRunConditionOp` - `const InEvaluationRunConditionOpIn InEvaluationRunConditionOp = "in"` - `type NotInEvaluationRunCondition struct{…}` - `Left any` - `Operands []any` - `Op NotInEvaluationRunConditionOp` - `const NotInEvaluationRunConditionOpNotIn NotInEvaluationRunConditionOp = "not_in"` - `type NotEvaluationRunCondition struct{…}` - `Operands []any` - `Op NotEvaluationRunConditionOp` - `const NotEvaluationRunConditionOpNot NotEvaluationRunConditionOp = "not"` - `type IsNullEvaluationRunCondition struct{…}` - `Operands []any` - `Op IsNullEvaluationRunConditionOp` - `const IsNullEvaluationRunConditionOpIsNull IsNullEvaluationRunConditionOp = "is_null"` - `type IsNotNullEvaluationRunCondition struct{…}` - `Operands []any` - `Op IsNotNullEvaluationRunConditionOp` - `const IsNotNullEvaluationRunConditionOpIsNotNull IsNotNullEvaluationRunConditionOp = "is_not_null"` - `SystemPrompt string` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocator struct{…}` - `Choices []string` Choices array cannot be empty - `Model string` model specified as `model_vendor/model_name` - `Prompt string` - `InferenceArgs map[string, any]` Additional arguments to pass to the inference request - `RunCondition EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionUnion` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionConst struct{…}` - `Op string` - `const EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionConstOpConst EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionConstOp = "const"` - `Value EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionConstValueUnion` - `string` - `float64` - `bool` - `type EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionVar struct{…}` - `Path string` - `Op string` - `const EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionVarOpVar EvaluationTaskAutoEvaluationGuidedDecodingConfigurationAutoEvaluationGuidedDecodingTaskRequestWithItemLocatorRunConditionVarOp = "var"` - `type EqEvaluationRunCondition struct{…}` - `type NeEvaluationRunCondition struct{…}` - `type LtEvaluationRunCondition struct{…}` - `type LteEvaluationRunCondition struct{…}` - `type GtEvaluationRunCondition struct{…}` - `type GteEvaluationRunCondition struct{…}` - `type AndEvaluationRunCondition struct{…}` - `type OrEvaluationRunCondition struct{…}` - `type InEvaluationRunCondition struct{…}` - `type NotInEvaluationRunCondition struct{…}` - `type NotEvaluationRunCondition struct{…}` - `type IsNullEvaluationRunCondition struct{…}` - `type IsNotNullEvaluationRunCondition struct{…}` - `SystemPrompt string` - `type AutoEvaluationAgentTaskRequestWithItemLocator struct{…}` - `Definition string` - `Name string` - `OutputRules []string` - `DataFields []string` - `DesignatedTo AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToUnion` - `type AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToApeAgent struct{…}` - `Config AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToApeAgentConfig` - `Model string` - `Temperature float64` - `AgentName string` - `const AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToApeAgentAgentNameApeAgent AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToApeAgentAgentName = "APEAgent"` - `type AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToIfAgent struct{…}` - `Config AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToIfAgentConfig` - `Model string` - `AgentName string` - `const AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToIfAgentAgentNameIfAgent AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToIfAgentAgentName = "IFAgent"` - `type AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToTruthfulnessAgent struct{…}` - `Config AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToTruthfulnessAgentConfig` - `Model string` - `AgentName string` - `const AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToTruthfulnessAgentAgentNameTruthfulnessAgent AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToTruthfulnessAgentAgentName = "TruthfulnessAgent"` - `type AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToBaseAgent struct{…}` - `Config AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToBaseAgentConfig` - `Model string` - `AgentName string` - `const AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToBaseAgentAgentNameBaseAgent AutoEvaluationAgentTaskRequestWithItemLocatorDesignatedToBaseAgentAgentName = "BaseAgent"` - `OutputType AutoEvaluationAgentTaskRequestWithItemLocatorOutputType` - `const AutoEvaluationAgentTaskRequestWithItemLocatorOutputTypeText AutoEvaluationAgentTaskRequestWithItemLocatorOutputType = "text"` - `const AutoEvaluationAgentTaskRequestWithItemLocatorOutputTypeInteger AutoEvaluationAgentTaskRequestWithItemLocatorOutputType = "integer"` - `const AutoEvaluationAgentTaskRequestWithItemLocatorOutputTypeFloat AutoEvaluationAgentTaskRequestWithItemLocatorOutputType = "float"` - `const AutoEvaluationAgentTaskRequestWithItemLocatorOutputTypeBoolean AutoEvaluationAgentTaskRequestWithItemLocatorOutputType = "boolean"` - `OutputValues []AutoEvaluationAgentTaskRequestWithItemLocatorOutputValueUnion` - `string` - `float64` - `bool` - `RubricID string` - `RubricVersion int64` - `Alias string` Alias to title the results column. Defaults to the `auto_evaluation_guided_decoding` - `TaskType string` - `const EvaluationTaskAutoEvaluationGuidedDecodingTaskTypeAutoEvaluationGuidedDecoding EvaluationTaskAutoEvaluationGuidedDecodingTaskType = "auto_evaluation.guided_decoding"` - `type EvaluationTaskAutoEvaluationAgent struct{…}` - `Configuration AutoEvaluationAgentTaskRequestWithItemLocator` - `Alias string` Alias to title the results column. Defaults to the `auto_evaluation_agent` - `TaskType string` - `const EvaluationTaskAutoEvaluationAgentTaskTypeAutoEvaluationAgent EvaluationTaskAutoEvaluationAgentTaskType = "auto_evaluation.agent"` - `type EvaluationTaskContributorEvaluationQuestion struct{…}` - `Configuration EvaluationTaskContributorEvaluationQuestionConfiguration` - `Layout Container` - `Children []ContainerChildUnion` The children to be displayed within the container - `type Container struct{…}` - `type Component struct{…}` - `Data ItemLocator` A pointer to the data in each evaluation item to be displayed within the component - `Label string` - `Direction ContainerDirection` The axis that children are placed in the container. Based on CSS `flex-direction` (see: https://developer.mozilla.org/en-US/docs/Web/CSS/flex-direction) - `const ContainerDirectionRow ContainerDirection = "row"` - `const ContainerDirectionColumn ContainerDirection = "column"` - `QuestionID string` - `PrefillFrom string` Dataset column to prefill contributor question task result - `QueueID string` The contributor annotation queue to include this task in. Defaults to `default` - `Required bool` Whether the question is required to be answered - `RubricID string` ID of the rubric to use for scoring this evaluation question - `Alias string` Alias to title the results column. Defaults to the `contributor_evaluation_question` - `TaskType string` - `const EvaluationTaskContributorEvaluationQuestionTaskTypeContributorEvaluationQuestion EvaluationTaskContributorEvaluationQuestionTaskType = "contributor_evaluation.question"` - `type EvaluationTaskCustomFunction struct{…}` - `Configuration EvaluationTaskCustomFunctionConfiguration` Configuration for a custom Python function evaluation task. - `FunctionSource string` Python function source code - `ArgMapping map[string, string]` Mapping of function parameter names to item locators (e.g. item.field). Auto-derived from function signature if not provided. - `ConfigArgs map[string, any]` Literal argument values for function parameters, such as thresholds or RNG seeds. Serialized JSON must be at most 10000 characters. - `Outputs []EvaluationTaskCustomFunctionConfigurationOutput` Optional output paths to materialize as separate result columns. If omitted, the function return value is stored only under the task alias/data key. - `Path string` Dot path in the custom function return value to materialize. - `Alias string` Result column alias. Defaults to path with dots replaced by underscores. - `Alias string` Alias to title the results column. Defaults to the function name. - `TaskType string` - `const EvaluationTaskCustomFunctionTaskTypeCustomFunction EvaluationTaskCustomFunctionTaskType = "custom_function"` ### Example ```go package main import ( "context" "fmt" "github.com/scaleapi/sgp-dev-go" "github.com/scaleapi/sgp-dev-go/option" ) func main() { client := sgpdev.NewClient( option.WithAPIKey("My API Key"), option.WithAccountID("My Account ID"), ) evaluation, err := client.Evaluations.Tasks.Update( context.TODO(), "alias", sgpdev.EvaluationTaskUpdateParams{ EvaluationID: "evaluation_id", Configuration: map[string]any{ "foo": "bar", }, }, ) if err != nil { panic(err.Error()) } fmt.Printf("%+v\n", evaluation.ID) } ``` #### Response ```json { "id": "id", "created_at": "2019-12-27T18:11:19.117Z", "created_by": { "id": "id", "type": "user", "object": "identity" }, "datasets": [ { "id": "id", "created_at": "2019-12-27T18:11:19.117Z", "created_by": { "id": "id", "type": "user", "object": "identity" }, "current_version_num": 0, "name": "name", "tags": [ "string" ], "archived_at": "2019-12-27T18:11:19.117Z", "description": "description", "object": "dataset" } ], "name": "name", "status": "failed", "tags": [ "string" ], "archived_at": "2019-12-27T18:11:19.117Z", "description": "description", "error_count": 0, "metadata": { "foo": "bar" }, "object": "evaluation", "progress": { "items": { "failed": 0, "pending": 0, "successful": 0, "total": 0, "failed_items": [ { "item_id": "item_id", "error": "error", "error_type": "error_type" } ] }, "workflows": { "completed": 0, "failed": 0, "pending": 0, "total": 0 } }, "status_reason": "status_reason", "tasks": [ { "configuration": { "messages": [ { "foo": "bar" } ], "model": "model", "audio": { "foo": "bar" }, "frequency_penalty": -2, "function_call": { "foo": "bar" }, "functions": [ { "foo": "bar" } ], "logit_bias": { "foo": 0 }, "logprobs": true, "max_completion_tokens": 0, "max_tokens": 0, "metadata": { "foo": "string" }, "modalities": [ "string" ], "n": 0, "parallel_tool_calls": true, "prediction": { "foo": "bar" }, "presence_penalty": -2, "reasoning_effort": "reasoning_effort", "response_format": { "foo": "bar" }, "seed": 0, "stop": "string", "store": true, "temperature": 0, "tool_choice": "string", "tools": [ { "foo": "bar" } ], "top_k": 0, "top_logprobs": 0, "top_p": 0 }, "alias": "alias", "task_type": "chat_completion" } ] } ```