type stringclasses 5
values | name stringlengths 1 55 | qualified_name stringlengths 5 147 | docstring stringlengths 15 4.52k ⌀ | filepath stringclasses 206
values | is_public bool 2
classes | is_private bool 2
classes | line_start int64 0 1.99k ⌀ | line_end int64 0 2.01k ⌀ | annotation stringclasses 14
values | returns stringclasses 308
values | value stringclasses 152
values | parameters listlengths 0 117 ⌀ | bases listlengths 0 3 ⌀ | parent_class stringclasses 376
values | api_element_summary stringlengths 199 33.8k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
class | ResolvedOpenRouterProviderRouting | fenic.core._resolved_session_config.ResolvedOpenRouterProviderRouting | null | null | true | false | 73 | 82 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedOpenRouterProviderRouting
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterProviderRouting
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedOpenRouterProviderRouting.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"order",
"sort",
"quantizations",
"data_collection",
"only",
"ignore",
"max_prompt_price",
"max_completion_price"
] | null | ResolvedOpenRouterProviderRouting | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterProviderRouting.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "order", "sort", "quantizations", "data_collection", "only", "ignore", "max_prompt_pri... |
class | ResolvedOpenRouterModelProfile | fenic.core._resolved_session_config.ResolvedOpenRouterModelProfile | null | null | true | false | 85 | 92 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedOpenRouterModelProfile
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterModelProfile
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedOpenRouterModelProfile.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"reasoning_effort",
"reasoning_max_tokens",
"models",
"provider",
"structured_output_strategy",
"parsing_engine"
] | null | ResolvedOpenRouterModelProfile | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterModelProfile.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "reasoning_effort", "reasoning_max_tokens", "models", "provider", "structured_output_stra... |
class | ResolvedOpenAIModelConfig | fenic.core._resolved_session_config.ResolvedOpenAIModelConfig | null | null | true | false | 95 | 103 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedOpenAIModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenAIModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedOpenAIModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_name",
"rpm",
"tpm",
"model_provider",
"profiles",
"default_profile",
"base_url"
] | null | ResolvedOpenAIModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenAIModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_name", "rpm", "tpm", "model_provider", "profiles", "default_profile", "base_url"]
Retur... |
class | ResolvedAnthropicModelConfig | fenic.core._resolved_session_config.ResolvedAnthropicModelConfig | null | null | true | false | 106 | 115 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedAnthropicModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedAnthropicModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedAnthropicModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_name",
"rpm",
"input_tpm",
"output_tpm",
"model_provider",
"profiles",
"default_profile",
"base_url"
] | null | ResolvedAnthropicModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedAnthropicModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_name", "rpm", "input_tpm", "output_tpm", "model_provider", "profiles", "default_prof... |
class | ResolvedGoogleModelConfig | fenic.core._resolved_session_config.ResolvedGoogleModelConfig | null | null | true | false | 118 | 125 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedGoogleModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedGoogleModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedGoogleModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_name",
"model_provider",
"rpm",
"tpm",
"profiles",
"default_profile"
] | null | ResolvedGoogleModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedGoogleModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_name", "model_provider", "rpm", "tpm", "profiles", "default_profile"]
Returns: None
Par... |
class | ResolvedCohereModelConfig | fenic.core._resolved_session_config.ResolvedCohereModelConfig | null | null | true | false | 128 | 135 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedCohereModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedCohereModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedCohereModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_name",
"rpm",
"tpm",
"model_provider",
"profiles",
"default_profile"
] | null | ResolvedCohereModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedCohereModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_name", "rpm", "tpm", "model_provider", "profiles", "default_profile"]
Returns: None
Par... |
class | ResolvedOpenRouterModelConfig | fenic.core._resolved_session_config.ResolvedOpenRouterModelConfig | null | null | true | false | 138 | 144 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedOpenRouterModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedOpenRouterModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_name",
"profiles",
"model_provider",
"default_profile",
"parsing_engine"
] | null | ResolvedOpenRouterModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedOpenRouterModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_name", "profiles", "model_provider", "default_profile", "parsing_engine"]
Returns: ... |
attribute | ResolvedModelConfig | fenic.core._resolved_session_config.ResolvedModelConfig | null | null | true | false | 147 | 153 | null | null | Union[ResolvedOpenAIModelConfig, ResolvedAnthropicModelConfig, ResolvedGoogleModelConfig, ResolvedCohereModelConfig, ResolvedOpenRouterModelConfig] | null | null | null | Type: attribute
Member Name: ResolvedModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedModelConfig
Docstring: none
Value: Union[ResolvedOpenAIModelConfig, ResolvedAnthropicModelConfig, ResolvedGoogleModelConfig, ResolvedCohereModelConfig, ResolvedOpenRouterModelConfig]
Annotation: none
is Public? ... |
class | ResolvedAdaptiveTokenEstimationConfig | fenic.core._resolved_session_config.ResolvedAdaptiveTokenEstimationConfig | Resolved adaptive output-token estimation config (always populated; never None). | null | true | false | 159 | 164 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedAdaptiveTokenEstimationConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedAdaptiveTokenEstimationConfig
Docstring: Resolved adaptive output-token estimation config (always populated; never None).
Value: none
Annotation: none
is Public? : true
is Private? : false
Paramete... |
method | __init__ | fenic.core._resolved_session_config.ResolvedAdaptiveTokenEstimationConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"enabled",
"safety_margin"
] | null | ResolvedAdaptiveTokenEstimationConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedAdaptiveTokenEstimationConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "enabled", "safety_margin"]
Returns: None
Parent Class: ResolvedAdaptiveTokenEstim... |
class | ResolvedSemanticConfig | fenic.core._resolved_session_config.ResolvedSemanticConfig | null | null | true | false | 167 | 174 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedSemanticConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedSemanticConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedSemanticConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"language_models",
"embedding_models",
"llm_response_cache",
"adaptive_token_estimation"
] | null | ResolvedSemanticConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedSemanticConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "language_models", "embedding_models", "llm_response_cache", "adaptive_token_estimation"]
Returns... |
class | ResolvedLanguageModelConfig | fenic.core._resolved_session_config.ResolvedLanguageModelConfig | null | null | true | false | 177 | 180 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedLanguageModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedLanguageModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedLanguageModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_configs",
"default_model"
] | null | ResolvedLanguageModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedLanguageModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_configs", "default_model"]
Returns: None
Parent Class: ResolvedLanguageModelConfig |
class | ResolvedEmbeddingModelConfig | fenic.core._resolved_session_config.ResolvedEmbeddingModelConfig | null | null | true | false | 183 | 186 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedEmbeddingModelConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedEmbeddingModelConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedEmbeddingModelConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"model_configs",
"default_model"
] | null | ResolvedEmbeddingModelConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedEmbeddingModelConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_configs", "default_model"]
Returns: None
Parent Class: ResolvedEmbeddingModelConfig |
class | ResolvedCloudConfig | fenic.core._resolved_session_config.ResolvedCloudConfig | null | null | true | false | 189 | 191 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedCloudConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedCloudConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedCloudConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"size"
] | null | ResolvedCloudConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedCloudConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "size"]
Returns: None
Parent Class: ResolvedCloudConfig |
class | ResolvedCacheConfig | fenic.core._resolved_session_config.ResolvedCacheConfig | Resolved cache configuration for LLM responses.
Attributes:
enabled: Whether caching is enabled.
ttl: Time-to-live duration string (e.g., "1h", "30m").
ttl_seconds: TTL converted to seconds.
max_size_mb: Maximum cache size in MB.
namespace: Cache namespace for isolation. | null | true | false | 194 | 210 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedCacheConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedCacheConfig
Docstring: Resolved cache configuration for LLM responses.
Attributes:
enabled: Whether caching is enabled.
ttl: Time-to-live duration string (e.g., "1h", "30m").
ttl_seconds: TTL converted ... |
method | __init__ | fenic.core._resolved_session_config.ResolvedCacheConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"backend",
"ttl",
"ttl_seconds",
"max_size_mb",
"namespace"
] | null | ResolvedCacheConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedCacheConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "backend", "ttl", "ttl_seconds", "max_size_mb", "namespace"]
Returns: None
Parent Class: ResolvedCac... |
class | ResolvedSessionConfig | fenic.core._resolved_session_config.ResolvedSessionConfig | null | null | true | false | 213 | 218 | null | null | null | null | [] | null | Type: class
Member Name: ResolvedSessionConfig
Qualified Name: fenic.core._resolved_session_config.ResolvedSessionConfig
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._resolved_session_config.ResolvedSessionConfig.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"app_name",
"db_path",
"semantic",
"cloud"
] | null | ResolvedSessionConfig | Type: method
Member Name: __init__
Qualified Name: fenic.core._resolved_session_config.ResolvedSessionConfig.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "app_name", "db_path", "semantic", "cloud"]
Returns: None
Parent Class: ResolvedSessionConfig |
module | _utils | fenic.core._utils | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/__init__.py | false | true | null | null | null | null | null | null | null | null | Type: module
Member Name: _utils
Qualified Name: fenic.core._utils
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none |
module | misc | fenic.core._utils.misc | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/misc.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: misc
Qualified Name: fenic.core._utils.misc
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
function | get_content_hash | fenic.core._utils.misc.get_content_hash | Generate a short, consistent hash for a string.
This uses UUIDv5 (namespaced UUID) to generate a deterministic hash
of the content string, and returns the first 8 characters for brevity.
Args:
content: The input string to hash.
Returns:
A short string representing the hash of the input.
Example:
>>> get... | null | true | false | 5 | 21 | null | str | null | [
"content"
] | null | null | Type: function
Member Name: get_content_hash
Qualified Name: fenic.core._utils.misc.get_content_hash
Docstring: Generate a short, consistent hash for a string.
This uses UUIDv5 (namespaced UUID) to generate a deterministic hash
of the content string, and returns the first 8 characters for brevity.
Args:
content: ... |
function | generate_unique_view_name | fenic.core._utils.misc.generate_unique_view_name | Generate a unique temporary view name for an Arrow table.
This is useful for assigning a one-off name to a view or table when
working with in-memory or temporary datasets.
Returns:
A string representing a unique temporary view name.
Example:
>>> generate_unique_view_name()
'temp_view_1a2b3c4d5e6f...' | null | true | false | 24 | 37 | null | str | null | [] | null | null | Type: function
Member Name: generate_unique_view_name
Qualified Name: fenic.core._utils.misc.generate_unique_view_name
Docstring: Generate a unique temporary view name for an Arrow table.
This is useful for assigning a one-off name to a view or table when
working with in-memory or temporary datasets.
Returns:
A s... |
function | to_snake_case | fenic.core._utils.misc.to_snake_case | null | null | true | false | 39 | 47 | null | str | null | [
"name"
] | null | null | Type: function
Member Name: to_snake_case
Qualified Name: fenic.core._utils.misc.to_snake_case
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["name"]
Returns: str
Parent Class: none |
module | type_inference | fenic.core._utils.type_inference | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/type_inference.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: type_inference
Qualified Name: fenic.core._utils.type_inference
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | TypeInferenceError | fenic.core._utils.type_inference.TypeInferenceError | null | null | true | false | 27 | 31 | null | null | null | null | [
"ValueError"
] | null | Type: class
Member Name: TypeInferenceError
Qualified Name: fenic.core._utils.type_inference.TypeInferenceError
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._utils.type_inference.TypeInferenceError.__init__ | null | null | true | false | 28 | 31 | null | null | null | [
"self",
"message",
"path"
] | null | TypeInferenceError | Type: method
Member Name: __init__
Qualified Name: fenic.core._utils.type_inference.TypeInferenceError.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "message", "path"]
Returns: none
Parent Class: TypeInferenceError |
function | infer_pytype_from_dtype | fenic.core._utils.type_inference.infer_pytype_from_dtype | null | null | true | false | 33 | 57 | null | type | null | [
"dtype"
] | null | null | Type: function
Member Name: infer_pytype_from_dtype
Qualified Name: fenic.core._utils.type_inference.infer_pytype_from_dtype
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["dtype"]
Returns: type
Parent Class: none |
function | infer_dtype_from_pyobj | fenic.core._utils.type_inference.infer_dtype_from_pyobj | null | null | true | false | 59 | 99 | null | DataType | null | [
"value",
"path"
] | null | null | Type: function
Member Name: infer_dtype_from_pyobj
Qualified Name: fenic.core._utils.type_inference.infer_dtype_from_pyobj
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["value", "path"]
Returns: DataType
Parent Class: none |
function | _find_common_supertype | fenic.core._utils.type_inference._find_common_supertype | null | null | false | true | 102 | 139 | null | DataType | null | [
"type1",
"type2",
"path"
] | null | null | Type: function
Member Name: _find_common_supertype
Qualified Name: fenic.core._utils.type_inference._find_common_supertype
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["type1", "type2", "path"]
Returns: DataType
Parent Class: none |
function | infer_dtype_from_polars | fenic.core._utils.type_inference.infer_dtype_from_polars | Convert a Polars data type to a Fenic DataType.
Args:
pl_dtype: A Polars data type
Returns:
The corresponding Fenic DataType
Raises:
TypeInferenceError: If the Polars dtype cannot be mapped to a Fenic type | null | true | false | 142 | 181 | null | DataType | null | [
"pl_dtype"
] | null | null | Type: function
Member Name: infer_dtype_from_polars
Qualified Name: fenic.core._utils.type_inference.infer_dtype_from_polars
Docstring: Convert a Polars data type to a Fenic DataType.
Args:
pl_dtype: A Polars data type
Returns:
The corresponding Fenic DataType
Raises:
TypeInferenceError: If the Polars dt... |
module | file_content | fenic.core._utils.file_content | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/file_content.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: file_content
Qualified Name: fenic.core._utils.file_content
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
function | validate_paths_and_return_list_of_strings | fenic.core._utils.file_content.validate_paths_and_return_list_of_strings | Validate paths arg type and return a list of strings. | null | true | false | 7 | 27 | null | list[str] | null | [
"paths"
] | null | null | Type: function
Member Name: validate_paths_and_return_list_of_strings
Qualified Name: fenic.core._utils.file_content.validate_paths_and_return_list_of_strings
Docstring: Validate paths arg type and return a list of strings.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["paths"]
Returns... |
module | structured_outputs | fenic.core._utils.structured_outputs | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/structured_outputs.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: structured_outputs
Qualified Name: fenic.core._utils.structured_outputs
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic.core._utils.structured_outputs.logger | null | null | true | false | 18 | 18 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic.core._utils.structured_outputs.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | OutputFormatValidationError | fenic.core._utils.structured_outputs.OutputFormatValidationError | Error raised when a semantic operation schema is invalid. | null | true | false | 20 | 21 | null | null | null | null | [
"Exception"
] | null | Type: class
Member Name: OutputFormatValidationError
Qualified Name: fenic.core._utils.structured_outputs.OutputFormatValidationError
Docstring: Error raised when a semantic operation schema is invalid.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
function | validate_output_format | fenic.core._utils.structured_outputs.validate_output_format | Check a Pydantic model type to ensure it is valid schema for semantic operations.
This function validates schemas used by semantic operations like extract, map, etc.
to ensure they have proper field descriptions and supported types.
Args:
model: The Pydantic model class to validate
Raises:
SemanticSchemaVali... | null | true | false | 24 | 51 | null | None | null | [
"model"
] | null | null | Type: function
Member Name: validate_output_format
Qualified Name: fenic.core._utils.structured_outputs.validate_output_format
Docstring: Check a Pydantic model type to ensure it is valid schema for semantic operations.
This function validates schemas used by semantic operations like extract, map, etc.
to ensure they ... |
function | _validate_semantic_field_type | fenic.core._utils.structured_outputs._validate_semantic_field_type | Recursively validate field types for semantic operations. | null | false | true | 54 | 97 | null | None | null | [
"annotation",
"field_name"
] | null | null | Type: function
Member Name: _validate_semantic_field_type
Qualified Name: fenic.core._utils.structured_outputs._validate_semantic_field_type
Docstring: Recursively validate field types for semantic operations.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["annotation", "field_name"]
Re... |
function | convert_pydantic_model_to_key_descriptions | fenic.core._utils.structured_outputs.convert_pydantic_model_to_key_descriptions | Extract keys, types, and descriptions from a Pydantic model, including nested models and lists.
This function is used by structured semantic operations (extract, map, etc.) to convert
Pydantic schema models into human-readable field descriptions for LLM prompts.
Args:
schema (Type[BaseModel]): The Pydantic model ... | null | true | false | 100 | 187 | null | str | null | [
"schema"
] | null | null | Type: function
Member Name: convert_pydantic_model_to_key_descriptions
Qualified Name: fenic.core._utils.structured_outputs.convert_pydantic_model_to_key_descriptions
Docstring: Extract keys, types, and descriptions from a Pydantic model, including nested models and lists.
This function is used by structured semantic ... |
function | check_if_model_uses_unserializable_features | fenic.core._utils.structured_outputs.check_if_model_uses_unserializable_features | Validate a Pydantic model to determine if information will be lost when serializing.
We cannot serialize the arbitrary python code in pydantic field/model validators, as well as
the use of `default_factory` with an arbitrary callable. If the model contains usages of these,
we can still serialize them, but these valida... | null | true | false | 189 | 218 | null | None | null | [
"model"
] | null | null | Type: function
Member Name: check_if_model_uses_unserializable_features
Qualified Name: fenic.core._utils.structured_outputs.check_if_model_uses_unserializable_features
Docstring: Validate a Pydantic model to determine if information will be lost when serializing.
We cannot serialize the arbitrary python code in pydan... |
module | schema | fenic.core._utils.schema | Utilities for converting between different schema representations. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_utils/schema.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: schema
Qualified Name: fenic.core._utils.schema
Docstring: Utilities for converting between different schema representations.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
function | convert_polars_schema_to_custom_schema | fenic.core._utils.schema.convert_polars_schema_to_custom_schema | Convert a Polars schema to a fenic Schema.
Args:
polars_schema: The Polars schema to convert
Returns:
The corresponding fenic Schema with equivalent column fields
Example:
>>> custom_schema = convert_polars_schema_to_custom_schema(df.schema) | null | true | false | 31 | 53 | null | Schema | null | [
"polars_schema"
] | null | null | Type: function
Member Name: convert_polars_schema_to_custom_schema
Qualified Name: fenic.core._utils.schema.convert_polars_schema_to_custom_schema
Docstring: Convert a Polars schema to a fenic Schema.
Args:
polars_schema: The Polars schema to convert
Returns:
The corresponding fenic Schema with equivalent col... |
function | convert_custom_schema_to_polars_schema | fenic.core._utils.schema.convert_custom_schema_to_polars_schema | Convert a fenic Schema to a Polars schema.
Args:
custom_schema: The fenic Schema to convert
Returns:
The corresponding Polars schema with equivalent fields
Example:
>>> polars_schema = convert_custom_schema_to_polars_schema(custom_schema) | null | true | false | 56 | 75 | null | pl.Schema | null | [
"custom_schema"
] | null | null | Type: function
Member Name: convert_custom_schema_to_polars_schema
Qualified Name: fenic.core._utils.schema.convert_custom_schema_to_polars_schema
Docstring: Convert a fenic Schema to a Polars schema.
Args:
custom_schema: The fenic Schema to convert
Returns:
The corresponding Polars schema with equivalent fie... |
function | convert_pydantic_type_to_custom_struct_type | fenic.core._utils.schema.convert_pydantic_type_to_custom_struct_type | Convert a Pydantic model to a custom StructType.
Args:
model: The Pydantic model to convert (either an instance or a class)
Returns:
The corresponding custom StructType
Raises:
ValueError: If the model is not a Pydantic model
Example:
>>> struct_type = convert_pydantic_type_to_custom_struct_type(mod... | null | true | false | 78 | 134 | null | StructType | null | [
"model"
] | null | null | Type: function
Member Name: convert_pydantic_type_to_custom_struct_type
Qualified Name: fenic.core._utils.schema.convert_pydantic_type_to_custom_struct_type
Docstring: Convert a Pydantic model to a custom StructType.
Args:
model: The Pydantic model to convert (either an instance or a class)
Returns:
The corre... |
function | convert_custom_dtype_to_polars | fenic.core._utils.schema.convert_custom_dtype_to_polars | Convert custom data type to the Polars data type.
Args:
custom_dtype: Custom data type
Returns:
pl.DataType: Corresponding Polars data type
Raises:
ValueError: If the custom data type is not supported | null | true | false | 136 | 190 | null | pl.DataType | null | [
"custom_dtype"
] | null | null | Type: function
Member Name: convert_custom_dtype_to_polars
Qualified Name: fenic.core._utils.schema.convert_custom_dtype_to_polars
Docstring: Convert custom data type to the Polars data type.
Args:
custom_dtype: Custom data type
Returns:
pl.DataType: Corresponding Polars data type
Raises:
ValueError: If ... |
function | _convert_pytype_to_custom_dtype | fenic.core._utils.schema._convert_pytype_to_custom_dtype | Convert a basic Python type to a PrimitiveType. | null | false | true | 193 | 210 | null | _PrimitiveType | null | [
"py_type"
] | null | null | Type: function
Member Name: _convert_pytype_to_custom_dtype
Qualified Name: fenic.core._utils.schema._convert_pytype_to_custom_dtype
Docstring: Convert a basic Python type to a PrimitiveType.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["py_type"]
Returns: _PrimitiveType
Parent Class:... |
function | _unwrap_optional_type | fenic.core._utils.schema._unwrap_optional_type | Unwrap Optional type and return (actual_type, is_optional). | null | false | true | 213 | 229 | null | type | null | [
"annotation"
] | null | null | Type: function
Member Name: _unwrap_optional_type
Qualified Name: fenic.core._utils.schema._unwrap_optional_type
Docstring: Unwrap Optional type and return (actual_type, is_optional).
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["annotation"]
Returns: type
Parent Class: none |
module | types | fenic.core.types | Schema module for defining and manipulating DataFrame schemas. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/__init__.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: types
Qualified Name: fenic.core.types
Docstring: Schema module for defining and manipulating DataFrame schemas.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | __all__ | fenic.core.types.__all__ | null | null | false | false | 55 | 98 | null | null | ['ArrayType', 'BooleanType', 'BranchSide', 'ClassDefinition', 'ClassifyExample', 'ClassifyExampleCollection', 'ColumnField', 'DataType', 'DataLike', 'DataLikeType', 'DateType', 'QueryResult', 'DocumentPathType', 'DoubleType', 'EmbeddingType', 'FloatType', 'HtmlType', 'IntegerType', 'JoinExample', 'JoinExampleCollection... | null | null | null | Type: attribute
Member Name: __all__
Qualified Name: fenic.core.types.__all__
Docstring: none
Value: ['ArrayType', 'BooleanType', 'BranchSide', 'ClassDefinition', 'ClassifyExample', 'ClassifyExampleCollection', 'ColumnField', 'DataType', 'DataLike', 'DataLikeType', 'DateType', 'QueryResult', 'DocumentPathType', 'Double... |
module | query_result | fenic.core.types.query_result | QueryResult class and related types. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/query_result.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: query_result
Qualified Name: fenic.core.types.query_result
Docstring: QueryResult class and related types.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | DataLikeType | fenic.core.types.query_result.DataLikeType | String literal type for specifying data output formats.
Valid values:
- "polars": Native Polars DataFrame format
- "pandas": Pandas DataFrame with PyArrow extension arrays
- "pydict": Python dictionary with column names as keys, lists as values
- "pylist": Python list of dictionaries, each representing... | null | true | false | 13 | 13 | null | null | Literal['polars', 'pandas', 'pydict', 'pylist', 'arrow'] | null | null | null | Type: attribute
Member Name: DataLikeType
Qualified Name: fenic.core.types.query_result.DataLikeType
Docstring: String literal type for specifying data output formats.
Valid values:
- "polars": Native Polars DataFrame format
- "pandas": Pandas DataFrame with PyArrow extension arrays
- "pydict": Python dict... |
attribute | DataLike | fenic.core.types.query_result.DataLike | Union type representing any supported data format for both input and output operations.
This type encompasses all possible data structures that can be:
1. Used as input when creating DataFrames
2. Returned as output from query results
Supported formats:
- pl.DataFrame: Native Polars DataFrame with efficient colum... | null | true | false | 28 | 34 | null | null | Union[pl.DataFrame, pd.DataFrame, Dict[str, List[Any]], List[Dict[str, Any]], pa.Table] | null | null | null | Type: attribute
Member Name: DataLike
Qualified Name: fenic.core.types.query_result.DataLike
Docstring: Union type representing any supported data format for both input and output operations.
This type encompasses all possible data structures that can be:
1. Used as input when creating DataFrames
2. Returned as output... |
class | QueryResult | fenic.core.types.query_result.QueryResult | Container for query execution results and associated metadata.
This dataclass bundles together the materialized data from a query execution
along with metrics about the execution process. It provides a unified interface
for accessing both the computed results and performance information.
Attributes:
data (DataLik... | null | true | false | 61 | 106 | null | null | null | null | [] | null | Type: class
Member Name: QueryResult
Qualified Name: fenic.core.types.query_result.QueryResult
Docstring: Container for query execution results and associated metadata.
This dataclass bundles together the materialized data from a query execution
along with metrics about the execution process. It provides a unified int... |
method | __init__ | fenic.core.types.query_result.QueryResult.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"data",
"metrics"
] | null | QueryResult | Type: method
Member Name: __init__
Qualified Name: fenic.core.types.query_result.QueryResult.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "data", "metrics"]
Returns: None
Parent Class: QueryResult |
module | enums | fenic.core.types.enums | Enums used in the DataFrame API. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/enums.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: enums
Qualified Name: fenic.core.types.enums
Docstring: Enums used in the DataFrame API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | SemanticSimilarityMetric | fenic.core.types.enums.SemanticSimilarityMetric | Type alias representing supported semantic similarity metrics.
Valid values:
- "cosine": Cosine similarity, measures the cosine of the angle between two vectors.
- "l2": Euclidean (L2) distance, measures the straight-line distance between two vectors.
- "dot": Dot product similarity, the raw inner product of two vect... | null | true | false | 8 | 8 | null | null | Literal['cosine', 'l2', 'dot'] | null | null | null | Type: attribute
Member Name: SemanticSimilarityMetric
Qualified Name: fenic.core.types.enums.SemanticSimilarityMetric
Docstring: Type alias representing supported semantic similarity metrics.
Valid values:
- "cosine": Cosine similarity, measures the cosine of the angle between two vectors.
- "l2": Euclidean (L2) dist... |
attribute | BranchSide | fenic.core.types.enums.BranchSide | Type alias representing the side of a branch in a lineage graph.
Valid values:
- "left": The left branch of a join.
- "right": The right branch of a join. | null | true | false | 23 | 23 | null | null | Literal['left', 'right'] | null | null | null | Type: attribute
Member Name: BranchSide
Qualified Name: fenic.core.types.enums.BranchSide
Docstring: Type alias representing the side of a branch in a lineage graph.
Valid values:
- "left": The left branch of a join.
- "right": The right branch of a join.
Value: Literal['left', 'right']
Annotation: none
is Public? : ... |
attribute | TranscriptFormatType | fenic.core.types.enums.TranscriptFormatType | Type alias representing supported transcript formats.
Valid values:
- "srt": SubRip Subtitle format with indexed entries and timestamp ranges
- "generic": Conversation transcript format with speaker names and timestamps
- "webvtt": Web Video Text Tracks format with speaker names and timestamps
All formats are parsed... | null | true | false | 33 | 33 | null | null | Literal['srt', 'generic', 'webvtt'] | null | null | null | Type: attribute
Member Name: TranscriptFormatType
Qualified Name: fenic.core.types.enums.TranscriptFormatType
Docstring: Type alias representing supported transcript formats.
Valid values:
- "srt": SubRip Subtitle format with indexed entries and timestamp ranges
- "generic": Conversation transcript format with speake... |
attribute | JoinType | fenic.core.types.enums.JoinType | Type alias representing supported join types.
Valid values:
- "inner": Inner join, returns only rows that have matching values in both tables.
- "outer": Outer join, returns all rows from both tables, filling missing values with nulls.
- "left": Left join, returns all rows from the left table and matching rows from t... | null | true | false | 47 | 47 | null | null | Literal['inner', 'full', 'left', 'right', 'cross'] | null | null | null | Type: attribute
Member Name: JoinType
Qualified Name: fenic.core.types.enums.JoinType
Docstring: Type alias representing supported join types.
Valid values:
- "inner": Inner join, returns only rows that have matching values in both tables.
- "outer": Outer join, returns all rows from both tables, filling missing valu... |
attribute | FuzzySimilarityMethod | fenic.core.types.enums.FuzzySimilarityMethod | Type alias representing the supported fuzzy string similarity algorithms.
These algorithms quantify the similarity or difference between two strings using various distance or similarity metrics:
- "indel":
Computes the Indel (Insertion-Deletion) distance, which counts only insertions and deletions needed to transfo... | null | true | false | 60 | 60 | null | null | Literal['indel', 'levenshtein', 'damerau_levenshtein', 'jaro_winkler', 'jaro', 'hamming'] | null | null | null | Type: attribute
Member Name: FuzzySimilarityMethod
Qualified Name: fenic.core.types.enums.FuzzySimilarityMethod
Docstring: Type alias representing the supported fuzzy string similarity algorithms.
These algorithms quantify the similarity or difference between two strings using various distance or similarity metrics:
... |
attribute | StringCasingType | fenic.core.types.enums.StringCasingType | Type alias representing the type of string casing.
Valid values:
- "lower": Convert to lowercase.
- "upper": Convert to uppercase.
- "title": Convert to title case. | null | true | false | 82 | 82 | null | null | Literal['lower', 'upper', 'title'] | null | null | null | Type: attribute
Member Name: StringCasingType
Qualified Name: fenic.core.types.enums.StringCasingType
Docstring: Type alias representing the type of string casing.
Valid values:
- "lower": Convert to lowercase.
- "upper": Convert to uppercase.
- "title": Convert to title case.
Value: Literal['lower', 'upper', 'title'... |
attribute | StripCharsSide | fenic.core.types.enums.StripCharsSide | Type alias representing the side of a string to strip characters from.
Valid values:
- "left": Strip characters from the left side.
- "right": Strip characters from the right side.
- "both": Strip characters from both sides. | null | true | false | 93 | 93 | null | null | Literal['left', 'right', 'both'] | null | null | null | Type: attribute
Member Name: StripCharsSide
Qualified Name: fenic.core.types.enums.StripCharsSide
Docstring: Type alias representing the side of a string to strip characters from.
Valid values:
- "left": Strip characters from the left side.
- "right": Strip characters from the right side.
- "both": Strip characters f... |
attribute | DocContentType | fenic.core.types.enums.DocContentType | Type alias representing the type of document content.
Valid values:
- "markdown": Markdown format.
- "json": JSON format.
- "pdf": PDF format. | null | true | false | 104 | 104 | null | null | Literal['markdown', 'json', 'pdf'] | null | null | null | Type: attribute
Member Name: DocContentType
Qualified Name: fenic.core.types.enums.DocContentType
Docstring: Type alias representing the type of document content.
Valid values:
- "markdown": Markdown format.
- "json": JSON format.
- "pdf": PDF format.
Value: Literal['markdown', 'json', 'pdf']
Annotation: none
is Publ... |
attribute | DateTimeUnit | fenic.core.types.enums.DateTimeUnit | Type alias representing the supported date part or time unit to be used in date functions.
Valid values:
- "year": Year.
- "month": Month.
- "day": Day.
- "hour": Hour.
- "minute": Minute.
- "second": Second.
- "millisecond": Millisecond. | null | true | false | 115 | 115 | null | null | Literal['year', 'month', 'day', 'hour', 'minute', 'second', 'millisecond'] | null | null | null | Type: attribute
Member Name: DateTimeUnit
Qualified Name: fenic.core.types.enums.DateTimeUnit
Docstring: Type alias representing the supported date part or time unit to be used in date functions.
Valid values:
- "year": Year.
- "month": Month.
- "day": Day.
- "hour": Hour.
- "minute": Minute.
- "second": Second.
- "m... |
class | CacheBackend | fenic.core.types.enums.CacheBackend | Cache backend implementations.
Attributes:
LOCAL: Local persistent cache backend. | null | true | false | 131 | 138 | null | null | null | null | [
"str",
"Enum"
] | null | Type: class
Member Name: CacheBackend
Qualified Name: fenic.core.types.enums.CacheBackend
Docstring: Cache backend implementations.
Attributes:
LOCAL: Local persistent cache backend.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
module | semantic | fenic.core.types.semantic | Types used to configure model selection for semantic functions. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/semantic.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: semantic
Qualified Name: fenic.core.types.semantic
Docstring: Types used to configure model selection for semantic functions.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | ParsingEngine | fenic.core.types.semantic.ParsingEngine | null | null | true | false | 10 | 10 | null | null | Literal['mistral-ocr', 'cloudflare-ai', 'pdf-text', 'native'] | null | null | null | Type: attribute
Member Name: ParsingEngine
Qualified Name: fenic.core.types.semantic.ParsingEngine
Docstring: none
Value: Literal['mistral-ocr', 'cloudflare-ai', 'pdf-text', 'native']
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | ModelAlias | fenic.core.types.semantic.ModelAlias | A combination of a model name and a required profile for that model.
Model aliases are used to select a specific model to use in a semantic operation.
Both the model name and profile must be specified when creating a ModelAlias.
Attributes:
name: The name of the model.
profile: The name of a profile configura... | null | true | false | 12 | 29 | null | null | null | null | [
"BaseModel"
] | null | Type: class
Member Name: ModelAlias
Qualified Name: fenic.core.types.semantic.ModelAlias
Docstring: A combination of a model name and a required profile for that model.
Model aliases are used to select a specific model to use in a semantic operation.
Both the model name and profile must be specified when creating a Mo... |
function | _resolve_model_alias | fenic.core.types.semantic._resolve_model_alias | Convert a model alias from the API layer to the expression layer format.
Args:
model_alias: Either a string, a ModelAlias, or None
Returns:
A ResolvedModelAlias with optional profile, or None | null | false | true | 31 | 47 | null | Optional[ResolvedModelAlias] | null | [
"model_alias"
] | null | null | Type: function
Member Name: _resolve_model_alias
Qualified Name: fenic.core.types.semantic._resolve_model_alias
Docstring: Convert a model alias from the API layer to the expression layer format.
Args:
model_alias: Either a string, a ModelAlias, or None
Returns:
A ResolvedModelAlias with optional profile, or ... |
module | classify | fenic.core.types.classify | Definition of a ClassDefinition class with optional description for semantic.classify. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/classify.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: classify
Qualified Name: fenic.core.types.classify
Docstring: Definition of a ClassDefinition class with optional description for semantic.classify.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | ClassDefinition | fenic.core.types.classify.ClassDefinition | Definition of a classification class with optional description.
Used to define the available classes for semantic classification operations.
The description helps the LLM understand what each class represents. | null | true | false | 6 | 14 | null | null | null | null | [
"BaseModel"
] | null | Type: class
Member Name: ClassDefinition
Qualified Name: fenic.core.types.classify.ClassDefinition
Docstring: Definition of a classification class with optional description.
Used to define the available classes for semantic classification operations.
The description helps the LLM understand what each class represents.... |
module | provider_routing | fenic.core.types.provider_routing | Provider routing shared types and constants.
Defines the allowed provider sorting strategies for OpenRouter provider routing. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/provider_routing.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: provider_routing
Qualified Name: fenic.core.types.provider_routing
Docstring: Provider routing shared types and constants.
Defines the allowed provider sorting strategies for OpenRouter provider routing.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Retur... |
attribute | ProviderSort | fenic.core.types.provider_routing.ProviderSort | Type alias representing provider sorting strategies used by OpenRouter routing.
Valid values:
- "price": Prefer providers with the lowest recent price.
- "throughput": Prefer providers with the highest recent throughput.
- "latency": Prefer providers with the lowest recent latency. | null | true | false | 11 | 11 | null | null | Literal['price', 'throughput', 'latency'] | null | null | null | Type: attribute
Member Name: ProviderSort
Qualified Name: fenic.core.types.provider_routing.ProviderSort
Docstring: Type alias representing provider sorting strategies used by OpenRouter routing.
Valid values:
- "price": Prefer providers with the lowest recent price.
- "throughput": Prefer providers with the highest ... |
attribute | DataCollection | fenic.core.types.provider_routing.DataCollection | Type alias representing provider data collection policies.
Valid values:
- "allow": Permit providers that may retain or train on prompts non-transiently.
- "deny": Restrict to providers that do not collect/store user data. | null | true | false | 21 | 21 | null | null | Literal['allow', 'deny'] | null | null | null | Type: attribute
Member Name: DataCollection
Qualified Name: fenic.core.types.provider_routing.DataCollection
Docstring: Type alias representing provider data collection policies.
Valid values:
- "allow": Permit providers that may retain or train on prompts non-transiently.
- "deny": Restrict to providers that do not ... |
attribute | ModelQuantization | fenic.core.types.provider_routing.ModelQuantization | Type alias representing supported quantization formats for provider models.
Common values:
- "int4", "int8": Integer quantization for smaller, faster models.
- "fp4", "fp6", "fp8": Low-precision floating point formats.
- "fp16", "bf16": Half-precision formats commonly used on GPUs/TPUs.
- "fp32": Full precision float... | null | true | false | 30 | 40 | null | null | Literal['int4', 'int8', 'fp4', 'fp6', 'fp8', 'fp16', 'bf16', 'fp32', 'unknown'] | null | null | null | Type: attribute
Member Name: ModelQuantization
Qualified Name: fenic.core.types.provider_routing.ModelQuantization
Docstring: Type alias representing supported quantization formats for provider models.
Common values:
- "int4", "int8": Integer quantization for smaller, faster models.
- "fp4", "fp6", "fp8": Low-precisi... |
attribute | StructuredOutputStrategy | fenic.core.types.provider_routing.StructuredOutputStrategy | Type alias representing the strategy to use when a model supports both
tool-calling and response-format-based structured outputs.
Valid values:
- "prefer_tools": Prefer tool/function calling with a JSON schema.
- "prefer_response_format": Prefer response_format structured outputs. | null | true | false | 53 | 53 | null | null | Literal['prefer_tools', 'prefer_response_format'] | null | null | null | Type: attribute
Member Name: StructuredOutputStrategy
Qualified Name: fenic.core.types.provider_routing.StructuredOutputStrategy
Docstring: Type alias representing the strategy to use when a model supports both
tool-calling and response-format-based structured outputs.
Valid values:
- "prefer_tools": Prefer tool/func... |
module | summarize | fenic.core.types.summarize | Summary structures for different formats of summaries. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/summarize.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: summarize
Qualified Name: fenic.core.types.summarize
Docstring: Summary structures for different formats of summaries.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | KeyPoints | fenic.core.types.summarize.KeyPoints | Summary as a concise bulleted list.
Each bullet should capture a distinct and essential idea, with a maximum number of points specified.
Attributes:
max_points: The maximum number of key points to include in the summary. | null | true | false | 6 | 27 | null | null | null | null | [
"BaseModel"
] | null | Type: class
Member Name: KeyPoints
Qualified Name: fenic.core.types.summarize.KeyPoints
Docstring: Summary as a concise bulleted list.
Each bullet should capture a distinct and essential idea, with a maximum number of points specified.
Attributes:
max_points: The maximum number of key points to include in the sum... |
method | __str__ | fenic.core.types.summarize.KeyPoints.__str__ | Return a description of the summary format for KeyPoints. | null | true | false | 17 | 23 | null | null | null | [
"self"
] | null | KeyPoints | Type: method
Member Name: __str__
Qualified Name: fenic.core.types.summarize.KeyPoints.__str__
Docstring: Return a description of the summary format for KeyPoints.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: KeyPoints |
method | max_tokens | fenic.core.types.summarize.KeyPoints.max_tokens | Calculate the maximum number of tokens for the summary based on the number of key points. | null | true | false | 25 | 27 | null | int | null | [
"self"
] | null | KeyPoints | Type: method
Member Name: max_tokens
Qualified Name: fenic.core.types.summarize.KeyPoints.max_tokens
Docstring: Calculate the maximum number of tokens for the summary based on the number of key points.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: Key... |
class | Paragraph | fenic.core.types.summarize.Paragraph | Summary as a cohesive narrative.
The summary should flow naturally and not exceed a specified maximum word count.
Attributes:
max_words: The maximum number of words allowed in the summary. | null | true | false | 29 | 48 | null | null | null | null | [
"BaseModel"
] | null | Type: class
Member Name: Paragraph
Qualified Name: fenic.core.types.summarize.Paragraph
Docstring: Summary as a cohesive narrative.
The summary should flow naturally and not exceed a specified maximum word count.
Attributes:
max_words: The maximum number of words allowed in the summary.
Value: none
Annotation: no... |
method | __str__ | fenic.core.types.summarize.Paragraph.__str__ | Return a description of the summary format for Paragraph. | null | true | false | 40 | 44 | null | null | null | [
"self"
] | null | Paragraph | Type: method
Member Name: __str__
Qualified Name: fenic.core.types.summarize.Paragraph.__str__
Docstring: Return a description of the summary format for Paragraph.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: Paragraph |
method | max_tokens | fenic.core.types.summarize.Paragraph.max_tokens | Calculate the maximum number of tokens for the summary based on the number of words. | null | true | false | 46 | 48 | null | int | null | [
"self"
] | null | Paragraph | Type: method
Member Name: max_tokens
Qualified Name: fenic.core.types.summarize.Paragraph.max_tokens
Docstring: Calculate the maximum number of tokens for the summary based on the number of words.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: Paragrap... |
module | datatypes | fenic.core.types.datatypes | Core data type definitions for the DataFrame API.
This module defines the type system used throughout the DataFrame API. It includes:
- Base classes for all data types
- Primitive types (string, integer, float, etc.)
- Composite types (arrays, structs)
- Specialized types (embeddings, markdown, etc.) | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/datatypes.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: datatypes
Qualified Name: fenic.core.types.datatypes
Docstring: Core data type definitions for the DataFrame API.
This module defines the type system used throughout the DataFrame API. It includes:
- Base classes for all data types
- Primitive types (string, integer, float, etc.)
- Composite ... |
class | DataType | fenic.core.types.datatypes.DataType | Base class for all data types.
You won't instantiate this class directly. Instead, use one of the
concrete types like `StringType`, `ArrayType`, or `StructType`.
Used for casting, type validation, and schema inference in the DataFrame API. | null | true | false | 19 | 67 | null | null | null | null | [
"ABC"
] | null | Type: class
Member Name: DataType
Qualified Name: fenic.core.types.datatypes.DataType
Docstring: Base class for all data types.
You won't instantiate this class directly. Instead, use one of the
concrete types like `StringType`, `ArrayType`, or `StructType`.
Used for casting, type validation, and schema inference in ... |
method | __str__ | fenic.core.types.datatypes.DataType.__str__ | Return a string representation of the data type.
Returns:
A string describing the data type. | null | true | false | 28 | 35 | null | str | null | [
"self"
] | null | DataType | Type: method
Member Name: __str__
Qualified Name: fenic.core.types.datatypes.DataType.__str__
Docstring: Return a string representation of the data type.
Returns:
A string describing the data type.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: str
Parent Class: Da... |
method | __eq__ | fenic.core.types.datatypes.DataType.__eq__ | Compare this data type with another object for equality.
Args:
other: The object to compare with.
Returns:
True if the objects are equal, False otherwise. | null | true | false | 37 | 47 | null | bool | null | [
"self",
"other"
] | null | DataType | Type: method
Member Name: __eq__
Qualified Name: fenic.core.types.datatypes.DataType.__eq__
Docstring: Compare this data type with another object for equality.
Args:
other: The object to compare with.
Returns:
True if the objects are equal, False otherwise.
Value: none
Annotation: none
is Public? : true
is Pr... |
method | __ne__ | fenic.core.types.datatypes.DataType.__ne__ | Compare this data type with another object for inequality.
Args:
other: The object to compare with.
Returns:
True if the objects are not equal, False otherwise. | null | true | false | 49 | 58 | null | bool | null | [
"self",
"other"
] | null | DataType | Type: method
Member Name: __ne__
Qualified Name: fenic.core.types.datatypes.DataType.__ne__
Docstring: Compare this data type with another object for inequality.
Args:
other: The object to compare with.
Returns:
True if the objects are not equal, False otherwise.
Value: none
Annotation: none
is Public? : true... |
method | __hash__ | fenic.core.types.datatypes.DataType.__hash__ | Return a hash value for this data type.
Returns:
An integer hash value. | null | true | false | 60 | 67 | null | null | null | [
"self"
] | null | DataType | Type: method
Member Name: __hash__
Qualified Name: fenic.core.types.datatypes.DataType.__hash__
Docstring: Return a hash value for this data type.
Returns:
An integer hash value.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: DataType |
class | _PrimitiveType | fenic.core.types.datatypes._PrimitiveType | Marker class for all primitive type. | null | false | true | 70 | 73 | null | null | null | null | [
"DataType"
] | null | Type: class
Member Name: _PrimitiveType
Qualified Name: fenic.core.types.datatypes._PrimitiveType
Docstring: Marker class for all primitive type.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none |
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