Fetches the full Tecton SDK reference. Use this only if you need to get the full SDK reference for all classes/functions. If you care only about a subset, use the query_tecton_sdk_reference_tool tool instead.

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., tecton or tecton.types)

  • The definition header (e.g., class FeatureView(...) or def 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