query_tecton_sdk_reference_tool
Look up Tecton SDK reference for specific classes and functions to get import paths, definitions, and docstrings for accurate code usage.
Instructions
Fetches the Tecton SDK reference for a specific list of classes/functions.
IMPORTANT: The class_names list MUST only contain names from the 'Available classes/functions' list below.
Providing any names not in this list will result in an error or empty output.
Use this tool when you need information about specific Tecton components from the allowed list.
Output Format:
Starts with a bulleted list of the found public classes/functions matching the query.
Followed by details for each item, including:
Type (Class/Function)
Name
Recommended import path (e.g.,
tectonortecton.types)The definition header (e.g.,
class FeatureView(...)ordef batch_feature_view(...))The full docstring.
Available classes/functions: Aggregate, AggregationFunction, AggregationLeadingEdge, Array, Attribute, AutoscalingConfig, BatchFeatureView, BatchSource, BatchTriggerType, BigQueryConfig, BigtableConfig, CacheConfig, Calculation, ComputeMode, DataFrame, DataSource, DatabricksClusterConfig, DatabricksJsonClusterConfig, Dataset, DatetimePartitionColumn, DeltaConfig, DynamoConfig, EMRClusterConfig, EMRJsonClusterConfig, Embedding, Entity, FeatureServerGroup, FeatureService, FeatureTable, FeatureVector, FeatureView, Field, FileConfig, FilterContext, HiveConfig, IcebergConfig, KafkaConfig, KafkaOutputStream, KinesisConfig, KinesisOutputStream, LifetimeWindow, Map, MockContext, ModelConfig, OfflineStoreConfig, OnlineServingIndex, PandasBatchConfig, ParquetConfig, ProvisionedScalingConfig, PushConfig, PyArrowBatchConfig, RealtimeContext, RealtimeFeatureView, RedisConfig, RedshiftConfig, RequestSource, RiftBatchConfig, SdkDataType, Secret, SnowflakeConfig, SparkBatchConfig, SparkStreamConfig, StreamFeatureView, StreamProcessingMode, StreamSource, Struct, TectonDataFrame, TectonTimeConstant, TestRepo, TimeWindow, TimeWindowSeries, TransformServerGroup, Transformation, UnityCatalogAccessMode, UnityConfig, Workspace, approx_count_distinct, approx_percentile, batch_feature_view, const, first, first_distinct, last, last_distinct, materialization_context, pandas_batch_config, pyarrow_batch_config, realtime_feature_view, spark_batch_config, spark_stream_config, stream_feature_view, transformation
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| class_names | Yes |