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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
method | _validate_against_join_types | fenic.core.types.semantic_examples.JoinExampleCollection._validate_against_join_types | Validate that example types match the actual join column types.
Args:
left_type: DataType of the left join column
right_type: DataType of the right join column
Raises:
InvalidExampleCollectionError: If example types don't match column types. | null | false | true | 644 | 658 | null | None | null | [
"self",
"left_type",
"right_type"
] | null | JoinExampleCollection | Type: method
Member Name: _validate_against_join_types
Qualified Name: fenic.core.types.semantic_examples.JoinExampleCollection._validate_against_join_types
Docstring: Validate that example types match the actual join column types.
Args:
left_type: DataType of the left join column
right_type: DataType of the r... |
method | _as_df_input | fenic.core.types.semantic_examples.JoinExampleCollection._as_df_input | Convert examples to a list of dictionaries suitable for DataFrame creation. | null | false | true | 660 | 676 | null | List[Dict[str, Any]] | null | [
"self"
] | null | JoinExampleCollection | Type: method
Member Name: _as_df_input
Qualified Name: fenic.core.types.semantic_examples.JoinExampleCollection._as_df_input
Docstring: Convert examples to a list of dictionaries suitable for DataFrame creation.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: List[Dict[s... |
class | _ExampleTypeValidator | fenic.core.types.semantic_examples._ExampleTypeValidator | Validates types across examples with no None values allowed. | null | false | true | 678 | 748 | null | null | null | null | [] | null | Type: class
Member Name: _ExampleTypeValidator
Qualified Name: fenic.core.types.semantic_examples._ExampleTypeValidator
Docstring: Validates types across examples with no None values allowed.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core.types.semantic_examples._ExampleTypeValidator.__init__ | null | null | true | false | 681 | 683 | null | null | null | [
"self"
] | null | _ExampleTypeValidator | Type: method
Member Name: __init__
Qualified Name: fenic.core.types.semantic_examples._ExampleTypeValidator.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: _ExampleTypeValidator |
method | process_example | fenic.core.types.semantic_examples._ExampleTypeValidator.process_example | Process an example dict, establishing or validating types. | null | true | false | 685 | 718 | null | None | null | [
"self",
"example_dict",
"example_num"
] | null | _ExampleTypeValidator | Type: method
Member Name: process_example
Qualified Name: fenic.core.types.semantic_examples._ExampleTypeValidator.process_example
Docstring: Process an example dict, establishing or validating types.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "example_dict", "example_num"]
... |
method | validate_against_column_types | fenic.core.types.semantic_examples._ExampleTypeValidator.validate_against_column_types | Validate that column types are a subset of example field types.
Args:
column_types: Mapping of column names to their DataType from the query plan.
Raises:
InvalidExampleCollectionError: If column types don't match example types
or if columns are missing from examples. | null | true | false | 720 | 748 | null | None | null | [
"self",
"column_types"
] | null | _ExampleTypeValidator | Type: method
Member Name: validate_against_column_types
Qualified Name: fenic.core.types.semantic_examples._ExampleTypeValidator.validate_against_column_types
Docstring: Validate that column types are a subset of example field types.
Args:
column_types: Mapping of column names to their DataType from the query plan... |
module | schema | fenic.core.types.schema | Schema definitions for DataFrame structures.
This module provides classes for defining and working with DataFrame schemas.
It includes ColumnField for individual column definitions and Schema for complete
DataFrame structure definitions. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/types/schema.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: schema
Qualified Name: fenic.core.types.schema
Docstring: Schema definitions for DataFrame structures.
This module provides classes for defining and working with DataFrame schemas.
It includes ColumnField for individual column definitions and Schema for complete
DataFrame structure definition... |
class | ColumnField | fenic.core.types.schema.ColumnField | Represents a typed column in a DataFrame schema.
A ColumnField defines the structure of a single column by specifying its name
and data type. This is used as a building block for DataFrame schemas.
Attributes:
name: The name of the column.
data_type: The data type of the column, as a DataType instance. | null | true | false | 17 | 74 | null | null | null | null | [] | null | Type: class
Member Name: ColumnField
Qualified Name: fenic.core.types.schema.ColumnField
Docstring: Represents a typed column in a DataFrame schema.
A ColumnField defines the structure of a single column by specifying its name
and data type. This is used as a building block for DataFrame schemas.
Attributes:
name... |
method | __str__ | fenic.core.types.schema.ColumnField.__str__ | Return a string representation of the ColumnField.
Returns:
A string in the format "ColumnField(name='name', data_type=type)". | null | true | false | 32 | 38 | null | str | null | [
"self"
] | null | ColumnField | Type: method
Member Name: __str__
Qualified Name: fenic.core.types.schema.ColumnField.__str__
Docstring: Return a string representation of the ColumnField.
Returns:
A string in the format "ColumnField(name='name', data_type=type)".
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["se... |
method | _str_with_indent | fenic.core.types.schema.ColumnField._str_with_indent | Return a pretty-printed string representation with indentation.
Args:
indent: Number of spaces to indent.
Returns:
A formatted string representation of the ColumnField. | null | false | true | 40 | 74 | null | str | null | [
"self",
"indent"
] | null | ColumnField | Type: method
Member Name: _str_with_indent
Qualified Name: fenic.core.types.schema.ColumnField._str_with_indent
Docstring: Return a pretty-printed string representation with indentation.
Args:
indent: Number of spaces to indent.
Returns:
A formatted string representation of the ColumnField.
Value: none
Annota... |
class | Schema | fenic.core.types.schema.Schema | Represents the schema of a DataFrame.
A Schema defines the structure of a DataFrame by specifying an ordered collection
of column fields. Each column field defines the name and data type of a column
in the DataFrame.
Attributes:
column_fields: An ordered list of ColumnField objects that define the
structu... | null | true | false | 77 | 123 | null | null | null | null | [] | null | Type: class
Member Name: Schema
Qualified Name: fenic.core.types.schema.Schema
Docstring: Represents the schema of a DataFrame.
A Schema defines the structure of a DataFrame by specifying an ordered collection
of column fields. Each column field defines the name and data type of a column
in the DataFrame.
Attributes:... |
method | __str__ | fenic.core.types.schema.Schema.__str__ | Return a string representation of the Schema.
Returns:
A multi-line string with proper indentation showing the schema structure. | null | true | false | 92 | 98 | null | str | null | [
"self"
] | null | Schema | Type: method
Member Name: __str__
Qualified Name: fenic.core.types.schema.Schema.__str__
Docstring: Return a string representation of the Schema.
Returns:
A multi-line string with proper indentation showing the schema structure.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"... |
method | _str_with_indent | fenic.core.types.schema.Schema._str_with_indent | Return a pretty-printed string with custom base indentation.
Args:
base_indent: Number of spaces to use as base indentation.
Returns:
A multi-line string with proper indentation relative to base_indent. | null | false | true | 100 | 115 | null | str | null | [
"self",
"base_indent"
] | null | Schema | Type: method
Member Name: _str_with_indent
Qualified Name: fenic.core.types.schema.Schema._str_with_indent
Docstring: Return a pretty-printed string with custom base indentation.
Args:
base_indent: Number of spaces to use as base indentation.
Returns:
A multi-line string with proper indentation relative to ba... |
method | column_names | fenic.core.types.schema.Schema.column_names | Get a list of all column names in the schema.
Returns:
A list of strings containing the names of all columns in the schema. | null | true | false | 117 | 123 | null | List[str] | null | [
"self"
] | null | Schema | Type: method
Member Name: column_names
Qualified Name: fenic.core.types.schema.Schema.column_names
Docstring: Get a list of all column names in the schema.
Returns:
A list of strings containing the names of all columns in the schema.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["... |
class | DatasetMetadata | fenic.core.types.schema.DatasetMetadata | Metadata for a dataset (table or view).
Attributes:
schema: The schema of the dataset.
description: The natural language description of the dataset's contents. | null | true | false | 126 | 135 | null | null | null | null | [] | null | Type: class
Member Name: DatasetMetadata
Qualified Name: fenic.core.types.schema.DatasetMetadata
Docstring: Metadata for a dataset (table or view).
Attributes:
schema: The schema of the dataset.
description: The natural language description of the dataset's contents.
Value: none
Annotation: none
is Public? : t... |
module | _inference | fenic.core._inference | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_inference/__init__.py | false | true | null | null | null | null | null | null | null | null | Type: module
Member Name: _inference
Qualified Name: fenic.core._inference
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none |
module | output_token_limits | fenic.core._inference.output_token_limits | Helpers for validating visible completion and reasoning token budgets. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_inference/output_token_limits.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: output_token_limits
Qualified Name: fenic.core._inference.output_token_limits
Docstring: Helpers for validating visible completion and reasoning token budgets.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | ResolvedModelProfile | fenic.core._inference.output_token_limits.ResolvedModelProfile | null | null | true | false | 20 | 25 | null | null | Union[ResolvedAnthropicModelProfile, ResolvedGoogleModelProfile, ResolvedOpenAIModelProfile, ResolvedOpenRouterModelProfile] | null | null | null | Type: attribute
Member Name: ResolvedModelProfile
Qualified Name: fenic.core._inference.output_token_limits.ResolvedModelProfile
Docstring: none
Value: Union[ResolvedAnthropicModelProfile, ResolvedGoogleModelProfile, ResolvedOpenAIModelProfile, ResolvedOpenRouterModelProfile]
Annotation: none
is Public? : true
is Priva... |
attribute | OPENAI_REASONING_TOKEN_ESTIMATES | fenic.core._inference.output_token_limits.OPENAI_REASONING_TOKEN_ESTIMATES | null | null | true | false | 27 | 35 | Final[dict[str, int]] | null | {'none': 0, 'minimal': 2048, 'low': 4096, 'medium': 8192, 'high': 16384, 'xhigh': 32768, 'max': 65536} | null | null | null | Type: attribute
Member Name: OPENAI_REASONING_TOKEN_ESTIMATES
Qualified Name: fenic.core._inference.output_token_limits.OPENAI_REASONING_TOKEN_ESTIMATES
Docstring: none
Value: {'none': 0, 'minimal': 2048, 'low': 4096, 'medium': 8192, 'high': 16384, 'xhigh': 32768, 'max': 65536}
Annotation: Final[dict[str, int]]
is Publ... |
attribute | OPENROUTER_REASONING_EFFORT_RATIOS | fenic.core._inference.output_token_limits.OPENROUTER_REASONING_EFFORT_RATIOS | null | null | true | false | 37 | 45 | Final[dict[str, float]] | null | {'none': 0.0, 'minimal': 0.1, 'low': 0.2, 'medium': 0.5, 'high': 0.8, 'xhigh': 0.95, 'max': 0.95} | null | null | null | Type: attribute
Member Name: OPENROUTER_REASONING_EFFORT_RATIOS
Qualified Name: fenic.core._inference.output_token_limits.OPENROUTER_REASONING_EFFORT_RATIOS
Docstring: none
Value: {'none': 0.0, 'minimal': 0.1, 'low': 0.2, 'medium': 0.5, 'high': 0.8, 'xhigh': 0.95, 'max': 0.95}
Annotation: Final[dict[str, float]]
is Pub... |
attribute | GOOGLE_THINKING_LEVEL_TOKEN_ESTIMATES | fenic.core._inference.output_token_limits.GOOGLE_THINKING_LEVEL_TOKEN_ESTIMATES | null | null | true | false | 47 | 52 | Final[dict[str, int]] | null | {'minimal': 2048, 'low': 8192, 'medium': 16384, 'high': 32768} | null | null | null | Type: attribute
Member Name: GOOGLE_THINKING_LEVEL_TOKEN_ESTIMATES
Qualified Name: fenic.core._inference.output_token_limits.GOOGLE_THINKING_LEVEL_TOKEN_ESTIMATES
Docstring: none
Value: {'minimal': 2048, 'low': 8192, 'medium': 16384, 'high': 32768}
Annotation: Final[dict[str, int]]
is Public? : true
is Private? : false... |
attribute | GOOGLE_REASONING_SAFETY_MARGIN | fenic.core._inference.output_token_limits.GOOGLE_REASONING_SAFETY_MARGIN | null | null | true | false | 59 | 59 | Final[float] | null | 1.5 | null | null | null | Type: attribute
Member Name: GOOGLE_REASONING_SAFETY_MARGIN
Qualified Name: fenic.core._inference.output_token_limits.GOOGLE_REASONING_SAFETY_MARGIN
Docstring: none
Value: 1.5
Annotation: Final[float]
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | ANTHROPIC_ADAPTIVE_THINKING_EFFORT_RATIOS | fenic.core._inference.output_token_limits.ANTHROPIC_ADAPTIVE_THINKING_EFFORT_RATIOS | null | null | true | false | 61 | 67 | Final[dict[str, float]] | null | {'low': 0.2, 'medium': 0.5, 'high': 0.8, 'xhigh': 0.95, 'max': 1.0} | null | null | null | Type: attribute
Member Name: ANTHROPIC_ADAPTIVE_THINKING_EFFORT_RATIOS
Qualified Name: fenic.core._inference.output_token_limits.ANTHROPIC_ADAPTIVE_THINKING_EFFORT_RATIOS
Docstring: none
Value: {'low': 0.2, 'medium': 0.5, 'high': 0.8, 'xhigh': 0.95, 'max': 1.0}
Annotation: Final[dict[str, float]]
is Public? : true
is P... |
function | validate_effective_output_token_limit | fenic.core._inference.output_token_limits.validate_effective_output_token_limit | Return the provider request limit after validating reasoning headroom.
`requested_completion_tokens` is the visible completion budget. Reasoning
models often require a larger provider-side output limit to preserve that
visible budget. Fail when the combined visible + estimated reasoning budget
exceeds the model cap in... | null | true | false | 70 | 111 | null | Optional[int] | null | [
"model_provider",
"model_name",
"model_max_output_tokens",
"requested_completion_tokens",
"estimated_reasoning_tokens",
"reasoning_shares_output_window"
] | null | null | Type: function
Member Name: validate_effective_output_token_limit
Qualified Name: fenic.core._inference.output_token_limits.validate_effective_output_token_limit
Docstring: Return the provider request limit after validating reasoning headroom.
`requested_completion_tokens` is the visible completion budget. Reasoning
m... |
function | resolve_openai_reasoning_effort | fenic.core._inference.output_token_limits.resolve_openai_reasoning_effort | Resolve the effective OpenAI reasoning effort for a profile.
Reasoning effort behavior varies by model:
- o-series/gpt-5 models: do not support disabling reasoning, default to
the lowest supported effort (minimal or low)
- gpt-5.1+ models: support 'none' to disable reasoning, default to 'none'
- models with a catalo... | null | true | false | 114 | 134 | null | str | null | [
"completion_parameters",
"reasoning_effort"
] | null | null | Type: function
Member Name: resolve_openai_reasoning_effort
Qualified Name: fenic.core._inference.output_token_limits.resolve_openai_reasoning_effort
Docstring: Resolve the effective OpenAI reasoning effort for a profile.
Reasoning effort behavior varies by model:
- o-series/gpt-5 models: do not support disabling reas... |
function | estimate_reasoning_tokens_for_resolved_profile | fenic.core._inference.output_token_limits.estimate_reasoning_tokens_for_resolved_profile | Estimate provider-side reasoning tokens for a resolved model profile. | null | true | false | 137 | 154 | null | int | null | [
"model_config",
"completion_parameters",
"profile_name"
] | null | null | Type: function
Member Name: estimate_reasoning_tokens_for_resolved_profile
Qualified Name: fenic.core._inference.output_token_limits.estimate_reasoning_tokens_for_resolved_profile
Docstring: Estimate provider-side reasoning tokens for a resolved model profile.
Value: none
Annotation: none
is Public? : true
is Private? ... |
function | reasoning_shares_output_window_for_resolved_profile | fenic.core._inference.output_token_limits.reasoning_shares_output_window_for_resolved_profile | Whether the resolved profile uses a reasoning budget that shares the output window.
True only for Anthropic adaptive-thinking effort profiles, where the
thinking budget is an adaptive maximum inside `max_tokens` rather than a
fixed reservation on top of the visible completion budget. | null | true | false | 157 | 174 | null | bool | null | [
"model_config",
"completion_parameters",
"profile_name"
] | null | null | Type: function
Member Name: reasoning_shares_output_window_for_resolved_profile
Qualified Name: fenic.core._inference.output_token_limits.reasoning_shares_output_window_for_resolved_profile
Docstring: Whether the resolved profile uses a reasoning budget that shares the output window.
True only for Anthropic adaptive-t... |
function | _resolve_profile | fenic.core._inference.output_token_limits._resolve_profile | null | null | false | true | 177 | 182 | null | Optional[ResolvedModelProfile] | null | [
"model_config",
"profile_name"
] | null | null | Type: function
Member Name: _resolve_profile
Qualified Name: fenic.core._inference.output_token_limits._resolve_profile
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["model_config", "profile_name"]
Returns: Optional[ResolvedModelProfile]
Parent Class: none |
function | _estimate_openai_reasoning_tokens | fenic.core._inference.output_token_limits._estimate_openai_reasoning_tokens | null | null | false | true | 185 | 194 | null | int | null | [
"completion_parameters",
"profile"
] | null | null | Type: function
Member Name: _estimate_openai_reasoning_tokens
Qualified Name: fenic.core._inference.output_token_limits._estimate_openai_reasoning_tokens
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["completion_parameters", "profile"]
Returns: int
Parent Class: none |
function | _estimate_google_reasoning_tokens | fenic.core._inference.output_token_limits._estimate_google_reasoning_tokens | null | null | false | true | 197 | 217 | null | int | null | [
"completion_parameters",
"profile"
] | null | null | Type: function
Member Name: _estimate_google_reasoning_tokens
Qualified Name: fenic.core._inference.output_token_limits._estimate_google_reasoning_tokens
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["completion_parameters", "profile"]
Returns: int
Parent Class: none |
function | _with_google_safety_margin | fenic.core._inference.output_token_limits._with_google_safety_margin | null | null | false | true | 220 | 221 | null | int | null | [
"expected_thinking_tokens"
] | null | null | Type: function
Member Name: _with_google_safety_margin
Qualified Name: fenic.core._inference.output_token_limits._with_google_safety_margin
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["expected_thinking_tokens"]
Returns: int
Parent Class: none |
function | _estimate_anthropic_reasoning_tokens | fenic.core._inference.output_token_limits._estimate_anthropic_reasoning_tokens | null | null | false | true | 224 | 237 | null | int | null | [
"completion_parameters",
"profile"
] | null | null | Type: function
Member Name: _estimate_anthropic_reasoning_tokens
Qualified Name: fenic.core._inference.output_token_limits._estimate_anthropic_reasoning_tokens
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["completion_parameters", "profile"]
Returns: int
Parent Class: n... |
function | _estimate_openrouter_reasoning_tokens | fenic.core._inference.output_token_limits._estimate_openrouter_reasoning_tokens | null | null | false | true | 240 | 252 | null | int | null | [
"completion_parameters",
"profile"
] | null | null | Type: function
Member Name: _estimate_openrouter_reasoning_tokens
Qualified Name: fenic.core._inference.output_token_limits._estimate_openrouter_reasoning_tokens
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["completion_parameters", "profile"]
Returns: int
Parent Class:... |
module | model_provider | fenic.core._inference.model_provider | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_inference/model_provider.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: model_provider
Qualified Name: fenic.core._inference.model_provider
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | ModelProviderClass | fenic.core._inference.model_provider.ModelProviderClass | Abstract base class for model providers.
This class defines the interface that all model providers must implement,
including API key validation functionality. | null | true | false | 4 | 52 | null | null | null | null | [
"ABC"
] | null | Type: class
Member Name: ModelProviderClass
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass
Docstring: Abstract base class for model providers.
This class defines the interface that all model providers must implement,
including API key validation functionality.
Value: none
Annotation: none
is P... |
method | create_client | fenic.core._inference.model_provider.ModelProviderClass.create_client | Create a synchronous client for this provider.
Returns the provider-specific synchronous client instance configured with the
appropriate credentials and settings. | null | true | false | 17 | 24 | null | null | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: create_client
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.create_client
Docstring: Create a synchronous client for this provider.
Returns the provider-specific synchronous client instance configured with the
appropriate credentials and settings.
Value: none
Annotat... |
method | create_aio_client | fenic.core._inference.model_provider.ModelProviderClass.create_aio_client | Create an async client for this provider.
Returns the provider-specific asynchronous client instance configured with the
appropriate credentials and settings. | null | true | false | 26 | 33 | null | null | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: create_aio_client
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.create_aio_client
Docstring: Create an async client for this provider.
Returns the provider-specific asynchronous client instance configured with the
appropriate credentials and settings.
Value: none
Ann... |
method | validate_api_key | fenic.core._inference.model_provider.ModelProviderClass.validate_api_key | Validate the API key for this provider.
This method should create the appropriate client and perform a lightweight
API call to verify that the configured credentials are valid and the
service is accessible. Should log success but let exceptions bubble up. | null | true | false | 35 | 43 | null | None | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: validate_api_key
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.validate_api_key
Docstring: Validate the API key for this provider.
This method should create the appropriate client and perform a lightweight
API call to verify that the configured credentials are valid... |
method | __str__ | fenic.core._inference.model_provider.ModelProviderClass.__str__ | null | null | true | false | 45 | 46 | null | str | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: __str__
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.__str__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: str
Parent Class: ModelProviderClass |
method | __repr__ | fenic.core._inference.model_provider.ModelProviderClass.__repr__ | null | null | true | false | 48 | 49 | null | str | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: __repr__
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.__repr__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: str
Parent Class: ModelProviderClass |
method | __hash__ | fenic.core._inference.model_provider.ModelProviderClass.__hash__ | null | null | true | false | 51 | 52 | null | int | null | [
"self"
] | null | ModelProviderClass | Type: method
Member Name: __hash__
Qualified Name: fenic.core._inference.model_provider.ModelProviderClass.__hash__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: ModelProviderClass |
module | model_catalog | fenic.core._inference.model_catalog | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/_inference/model_catalog.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: model_catalog
Qualified Name: fenic.core._inference.model_catalog
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic.core._inference.model_catalog.logger | null | null | true | false | 8 | 8 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic.core._inference.model_catalog.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | ThinkingLevelType | fenic.core._inference.model_catalog.ThinkingLevelType | null | null | true | false | 11 | 11 | null | null | Literal['high', 'medium', 'low', 'minimal'] | null | null | null | Type: attribute
Member Name: ThinkingLevelType
Qualified Name: fenic.core._inference.model_catalog.ThinkingLevelType
Docstring: none
Value: Literal['high', 'medium', 'low', 'minimal']
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | MediaResolutionType | fenic.core._inference.model_catalog.MediaResolutionType | null | null | true | false | 12 | 12 | null | null | Literal['low', 'medium', 'high'] | null | null | null | Type: attribute
Member Name: MediaResolutionType
Qualified Name: fenic.core._inference.model_catalog.MediaResolutionType
Docstring: none
Value: Literal['low', 'medium', 'high']
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | AnthropicReasoningEffortType | fenic.core._inference.model_catalog.AnthropicReasoningEffortType | null | null | true | false | 13 | 13 | null | null | Literal['low', 'medium', 'high', 'xhigh', 'max'] | null | null | null | Type: attribute
Member Name: AnthropicReasoningEffortType
Qualified Name: fenic.core._inference.model_catalog.AnthropicReasoningEffortType
Docstring: none
Value: Literal['low', 'medium', 'high', 'xhigh', 'max']
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | GEMINI_3X_PRO_THINKING_LEVELS | fenic.core._inference.model_catalog.GEMINI_3X_PRO_THINKING_LEVELS | null | null | true | false | 16 | 16 | Final[Set[ThinkingLevelType]] | null | {'high', 'medium', 'low'} | null | null | null | Type: attribute
Member Name: GEMINI_3X_PRO_THINKING_LEVELS
Qualified Name: fenic.core._inference.model_catalog.GEMINI_3X_PRO_THINKING_LEVELS
Docstring: none
Value: {'high', 'medium', 'low'}
Annotation: Final[Set[ThinkingLevelType]]
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | GEMINI_3X_FLASH_THINKING_LEVELS | fenic.core._inference.model_catalog.GEMINI_3X_FLASH_THINKING_LEVELS | null | null | true | false | 17 | 17 | Final[Set[ThinkingLevelType]] | null | {'high', 'medium', 'low', 'minimal'} | null | null | null | Type: attribute
Member Name: GEMINI_3X_FLASH_THINKING_LEVELS
Qualified Name: fenic.core._inference.model_catalog.GEMINI_3X_FLASH_THINKING_LEVELS
Docstring: none
Value: {'high', 'medium', 'low', 'minimal'}
Annotation: Final[Set[ThinkingLevelType]]
is Public? : true
is Private? : false
Parameters: none
Returns: none
Pare... |
attribute | ANTHROPIC_OPUS_4_7_PLUS_EFFORTS | fenic.core._inference.model_catalog.ANTHROPIC_OPUS_4_7_PLUS_EFFORTS | null | null | true | false | 18 | 18 | Final[Set[AnthropicReasoningEffortType]] | null | {'low', 'medium', 'high', 'xhigh', 'max'} | null | null | null | Type: attribute
Member Name: ANTHROPIC_OPUS_4_7_PLUS_EFFORTS
Qualified Name: fenic.core._inference.model_catalog.ANTHROPIC_OPUS_4_7_PLUS_EFFORTS
Docstring: none
Value: {'low', 'medium', 'high', 'xhigh', 'max'}
Annotation: Final[Set[AnthropicReasoningEffortType]]
is Public? : true
is Private? : false
Parameters: none
Re... |
attribute | ANTHROPIC_4_6_EFFORTS | fenic.core._inference.model_catalog.ANTHROPIC_4_6_EFFORTS | null | null | true | false | 19 | 19 | Final[Set[AnthropicReasoningEffortType]] | null | {'low', 'medium', 'high', 'max'} | null | null | null | Type: attribute
Member Name: ANTHROPIC_4_6_EFFORTS
Qualified Name: fenic.core._inference.model_catalog.ANTHROPIC_4_6_EFFORTS
Docstring: none
Value: {'low', 'medium', 'high', 'max'}
Annotation: Final[Set[AnthropicReasoningEffortType]]
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: non... |
attribute | ANTHROPIC_OPUS_4_5_EFFORTS | fenic.core._inference.model_catalog.ANTHROPIC_OPUS_4_5_EFFORTS | null | null | true | false | 20 | 20 | Final[Set[AnthropicReasoningEffortType]] | null | {'low', 'medium', 'high'} | null | null | null | Type: attribute
Member Name: ANTHROPIC_OPUS_4_5_EFFORTS
Qualified Name: fenic.core._inference.model_catalog.ANTHROPIC_OPUS_4_5_EFFORTS
Docstring: none
Value: {'low', 'medium', 'high'}
Annotation: Final[Set[AnthropicReasoningEffortType]]
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: ... |
class | ModelProvider | fenic.core._inference.model_catalog.ModelProvider | Enum representing different model providers supported by the system. | null | true | false | 23 | 31 | null | null | null | null | [
"Enum"
] | null | Type: class
Member Name: ModelProvider
Qualified Name: fenic.core._inference.model_catalog.ModelProvider
Docstring: Enum representing different model providers supported by the system.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | TieredTokenCost | fenic.core._inference.model_catalog.TieredTokenCost | null | null | true | false | 34 | 45 | null | null | null | null | [] | null | Type: class
Member Name: TieredTokenCost
Qualified Name: fenic.core._inference.model_catalog.TieredTokenCost
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic.core._inference.model_catalog.TieredTokenCost.__init__ | null | null | true | false | 35 | 45 | null | null | null | [
"self",
"input_token_cost",
"cached_input_token_read_cost",
"output_token_cost",
"cached_input_token_write_cost"
] | null | TieredTokenCost | Type: method
Member Name: __init__
Qualified Name: fenic.core._inference.model_catalog.TieredTokenCost.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "input_token_cost", "cached_input_token_read_cost", "output_token_cost", "cached_input_token_write_cost"... |
class | CompletionModelParameters | fenic.core._inference.model_catalog.CompletionModelParameters | Parameters for completion models including costs and context window size.
Attributes:
input_token_cost: Cost per input token in USD
cached_input_token_read_cost: Cost per cached input token read in USD
cached_input_token_write_cost: Cost per cached input token write in USD
output_token_cost: Cost per o... | null | true | false | 47 | 138 | null | null | null | null | [] | null | Type: class
Member Name: CompletionModelParameters
Qualified Name: fenic.core._inference.model_catalog.CompletionModelParameters
Docstring: Parameters for completion models including costs and context window size.
Attributes:
input_token_cost: Cost per input token in USD
cached_input_token_read_cost: Cost per ... |
method | __init__ | fenic.core._inference.model_catalog.CompletionModelParameters.__init__ | null | null | true | false | 77 | 129 | null | null | null | [
"self",
"input_token_cost",
"output_token_cost",
"context_window_length",
"max_output_tokens",
"max_temperature",
"cached_input_token_write_cost",
"cached_input_token_read_cost",
"tiered_token_costs",
"supports_profiles",
"supports_reasoning",
"supports_minimal_reasoning",
"supports_disabled... | null | CompletionModelParameters | Type: method
Member Name: __init__
Qualified Name: fenic.core._inference.model_catalog.CompletionModelParameters.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "input_token_cost", "output_token_cost", "context_window_length", "max_output_tokens", "max_te... |
method | __str__ | fenic.core._inference.model_catalog.CompletionModelParameters.__str__ | null | null | true | false | 131 | 138 | null | null | null | [
"self"
] | null | CompletionModelParameters | Type: method
Member Name: __str__
Qualified Name: fenic.core._inference.model_catalog.CompletionModelParameters.__str__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: CompletionModelParameters |
class | EmbeddingModelParameters | fenic.core._inference.model_catalog.EmbeddingModelParameters | Parameters for embedding models including costs and output dimensions.
Attributes:
input_token_cost: Cost per input token in USD
output_dimensions: Number of dimensions in the embedding output
max_input_size: Maximum number of tokens in the input string | null | true | false | 141 | 188 | null | null | null | null | [] | null | Type: class
Member Name: EmbeddingModelParameters
Qualified Name: fenic.core._inference.model_catalog.EmbeddingModelParameters
Docstring: Parameters for embedding models including costs and output dimensions.
Attributes:
input_token_cost: Cost per input token in USD
output_dimensions: Number of dimensions in t... |
method | __init__ | fenic.core._inference.model_catalog.EmbeddingModelParameters.__init__ | null | null | true | false | 150 | 174 | null | null | null | [
"self",
"input_token_cost",
"allowed_output_dimensions",
"max_input_size",
"default_dimensionality"
] | null | EmbeddingModelParameters | Type: method
Member Name: __init__
Qualified Name: fenic.core._inference.model_catalog.EmbeddingModelParameters.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "input_token_cost", "allowed_output_dimensions", "max_input_size", "default_dimensionality"]
Re... |
method | get_possible_dimensions | fenic.core._inference.model_catalog.EmbeddingModelParameters.get_possible_dimensions | Get the possible dimensions for the model. | null | true | false | 176 | 181 | null | list[int] | null | [
"self"
] | null | EmbeddingModelParameters | Type: method
Member Name: get_possible_dimensions
Qualified Name: fenic.core._inference.model_catalog.EmbeddingModelParameters.get_possible_dimensions
Docstring: Get the possible dimensions for the model.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: list[int]
Parent C... |
method | supports_dimensions | fenic.core._inference.model_catalog.EmbeddingModelParameters.supports_dimensions | Validate if requested dimensions are supported. | null | true | false | 183 | 188 | null | bool | null | [
"self",
"requested_dimensions"
] | null | EmbeddingModelParameters | Type: method
Member Name: supports_dimensions
Qualified Name: fenic.core._inference.model_catalog.EmbeddingModelParameters.supports_dimensions
Docstring: Validate if requested dimensions are supported.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "requested_dimensions"]
Return... |
attribute | CompletionModelCollection | fenic.core._inference.model_catalog.CompletionModelCollection | null | null | true | false | 191 | 191 | TypeAlias | null | Dict[str, CompletionModelParameters] | null | null | null | Type: attribute
Member Name: CompletionModelCollection
Qualified Name: fenic.core._inference.model_catalog.CompletionModelCollection
Docstring: none
Value: Dict[str, CompletionModelParameters]
Annotation: TypeAlias
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | EmbeddingModelCollection | fenic.core._inference.model_catalog.EmbeddingModelCollection | null | null | true | false | 192 | 192 | TypeAlias | null | Dict[str, EmbeddingModelParameters] | null | null | null | Type: attribute
Member Name: EmbeddingModelCollection
Qualified Name: fenic.core._inference.model_catalog.EmbeddingModelCollection
Docstring: none
Value: Dict[str, EmbeddingModelParameters]
Annotation: TypeAlias
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | OpenAILanguageModelName | fenic.core._inference.model_catalog.OpenAILanguageModelName | null | null | true | false | 193 | 234 | null | null | Literal['gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.5', 'gpt-5.5-2026-04-23', 'gpt-5.4', 'gpt-5.4-2026-03-05', 'gpt-5.4-mini', 'gpt-5.4-mini-2026-03-17', 'gpt-5.4-nano', 'gpt-5.4-nano-2026-03-17', 'gpt-5.2', 'gpt-5.1', 'gpt-5.1-2025-11-13', 'gpt-5', 'gpt-5-2025-08-07', 'gpt-5-mini', 'gpt-5-mini-2025-08-07', ... | null | null | null | Type: attribute
Member Name: OpenAILanguageModelName
Qualified Name: fenic.core._inference.model_catalog.OpenAILanguageModelName
Docstring: none
Value: Literal['gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.5', 'gpt-5.5-2026-04-23', 'gpt-5.4', 'gpt-5.4-2026-03-05', 'gpt-5.4-mini', 'gpt-5.4-mini-2026-03-17', 'gp... |
attribute | OpenAIEmbeddingModelName | fenic.core._inference.model_catalog.OpenAIEmbeddingModelName | null | null | true | false | 236 | 238 | null | null | Literal['text-embedding-3-small', 'text-embedding-3-large'] | null | null | null | Type: attribute
Member Name: OpenAIEmbeddingModelName
Qualified Name: fenic.core._inference.model_catalog.OpenAIEmbeddingModelName
Docstring: none
Value: Literal['text-embedding-3-small', 'text-embedding-3-large']
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | GoogleVertexEmbeddingModelName | fenic.core._inference.model_catalog.GoogleVertexEmbeddingModelName | null | null | true | false | 240 | 246 | null | null | Literal['gemini-embedding-2', 'gemini-embedding-2-preview', 'gemini-embedding-001', 'text-multilingual-embedding-002', 'text-embedding-005'] | null | null | null | Type: attribute
Member Name: GoogleVertexEmbeddingModelName
Qualified Name: fenic.core._inference.model_catalog.GoogleVertexEmbeddingModelName
Docstring: none
Value: Literal['gemini-embedding-2', 'gemini-embedding-2-preview', 'gemini-embedding-001', 'text-multilingual-embedding-002', 'text-embedding-005']
Annotation: n... |
attribute | GoogleDeveloperEmbeddingModelName | fenic.core._inference.model_catalog.GoogleDeveloperEmbeddingModelName | null | null | true | false | 248 | 252 | null | null | Literal['gemini-embedding-2', 'gemini-embedding-2-preview', 'gemini-embedding-001'] | null | null | null | Type: attribute
Member Name: GoogleDeveloperEmbeddingModelName
Qualified Name: fenic.core._inference.model_catalog.GoogleDeveloperEmbeddingModelName
Docstring: none
Value: Literal['gemini-embedding-2', 'gemini-embedding-2-preview', 'gemini-embedding-001']
Annotation: none
is Public? : true
is Private? : false
Parameter... |
attribute | AnthropicLanguageModelName | fenic.core._inference.model_catalog.AnthropicLanguageModelName | null | null | true | false | 254 | 269 | null | null | Literal['claude-fable-5', 'claude-sonnet-5', 'claude-opus-4-8', 'claude-opus-4-7', 'claude-opus-4-6', 'claude-sonnet-4-6', 'claude-opus-4-5', 'claude-opus-4-5-20251101', 'claude-sonnet-4-5', 'claude-sonnet-4-5-20250929', 'claude-haiku-4-5', 'claude-haiku-4-5-20251001', 'claude-opus-4-1', 'claude-opus-4-1-20250805'] | null | null | null | Type: attribute
Member Name: AnthropicLanguageModelName
Qualified Name: fenic.core._inference.model_catalog.AnthropicLanguageModelName
Docstring: none
Value: Literal['claude-fable-5', 'claude-sonnet-5', 'claude-opus-4-8', 'claude-opus-4-7', 'claude-opus-4-6', 'claude-sonnet-4-6', 'claude-opus-4-5', 'claude-opus-4-5-202... |
attribute | CohereEmbeddingModelName | fenic.core._inference.model_catalog.CohereEmbeddingModelName | null | null | true | false | 271 | 277 | null | null | Literal['embed-v4.0', 'embed-english-v3.0', 'embed-english-light-v3.0', 'embed-multilingual-v3.0', 'embed-multilingual-light-v3.0'] | null | null | null | Type: attribute
Member Name: CohereEmbeddingModelName
Qualified Name: fenic.core._inference.model_catalog.CohereEmbeddingModelName
Docstring: none
Value: Literal['embed-v4.0', 'embed-english-v3.0', 'embed-english-light-v3.0', 'embed-multilingual-v3.0', 'embed-multilingual-light-v3.0']
Annotation: none
is Public? : true... |
attribute | GoogleDeveloperLanguageModelName | fenic.core._inference.model_catalog.GoogleDeveloperLanguageModelName | null | null | true | false | 280 | 289 | null | null | Literal['gemini-3.5-flash', 'gemini-3.1-pro-preview', 'gemini-3.1-pro-preview-customtools', 'gemini-3.1-flash-lite', 'gemini-3-flash-preview', 'gemini-2.5-pro', 'gemini-2.5-flash', 'gemini-2.5-flash-lite'] | null | null | null | Type: attribute
Member Name: GoogleDeveloperLanguageModelName
Qualified Name: fenic.core._inference.model_catalog.GoogleDeveloperLanguageModelName
Docstring: none
Value: Literal['gemini-3.5-flash', 'gemini-3.1-pro-preview', 'gemini-3.1-pro-preview-customtools', 'gemini-3.1-flash-lite', 'gemini-3-flash-preview', 'gemini... |
attribute | GoogleVertexLanguageModelName | fenic.core._inference.model_catalog.GoogleVertexLanguageModelName | null | null | true | false | 290 | 290 | null | null | GoogleDeveloperLanguageModelName | null | null | null | Type: attribute
Member Name: GoogleVertexLanguageModelName
Qualified Name: fenic.core._inference.model_catalog.GoogleVertexLanguageModelName
Docstring: none
Value: GoogleDeveloperLanguageModelName
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | ProviderModelCollection | fenic.core._inference.model_catalog.ProviderModelCollection | A collection of models for a specific provider.
This class maintains a collection of models for a specific provider,
including their costs, context windows, and other parameters. It provides methods
to query model information and calculate costs for different operations. | null | true | false | 293 | 340 | null | null | null | null | [] | null | Type: class
Member Name: ProviderModelCollection
Qualified Name: fenic.core._inference.model_catalog.ProviderModelCollection
Docstring: A collection of models for a specific provider.
This class maintains a collection of models for a specific provider,
including their costs, context windows, and other parameters. It p... |
method | __init__ | fenic.core._inference.model_catalog.ProviderModelCollection.__init__ | null | null | true | false | 302 | 305 | null | None | null | [
"self",
"provider"
] | null | ProviderModelCollection | Type: method
Member Name: __init__
Qualified Name: fenic.core._inference.model_catalog.ProviderModelCollection.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "provider"]
Returns: None
Parent Class: ProviderModelCollection |
method | add_model | fenic.core._inference.model_catalog.ProviderModelCollection.add_model | null | null | true | false | 308 | 340 | null | null | null | [
"self",
"name",
"parameters",
"snapshots"
] | null | ProviderModelCollection | Type: method
Member Name: add_model
Qualified Name: fenic.core._inference.model_catalog.ProviderModelCollection.add_model
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "name", "parameters", "snapshots"]
Returns: none
Parent Class: ProviderModelCollection |
class | ModelCatalog | fenic.core._inference.model_catalog.ModelCatalog | Catalog of supported models and their parameters for different providers.
This class maintains a registry of all supported models across different providers,
including their costs, context windows, and other parameters. It provides methods
to query model information and calculate costs for different operations. | null | true | false | 343 | 1,728 | null | null | null | null | [] | null | Type: class
Member Name: ModelCatalog
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog
Docstring: Catalog of supported models and their parameters for different providers.
This class maintains a registry of all supported models across different providers,
including their costs, context windows, and oth... |
method | __init__ | fenic.core._inference.model_catalog.ModelCatalog.__init__ | null | null | true | false | 351 | 364 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: __init__
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: ModelCatalog |
method | _initialize_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_models | Initialize all models in the catalog using the new API. | null | false | true | 366 | 372 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_models
Docstring: Initialize all models in the catalog using the new API.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: ModelCat... |
method | _initialize_anthropic_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_anthropic_models | Initialize Anthropic models in the catalog. | null | false | true | 374 | 540 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_anthropic_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_anthropic_models
Docstring: Initialize Anthropic models in the catalog.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: ... |
method | _initialize_openai_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_openai_models | Initialize OpenAI models in the catalog. | null | false | true | 542 | 1,011 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_openai_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_openai_models
Docstring: Initialize OpenAI models in the catalog.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: ModelCata... |
method | _initialize_google_vertex_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_google_vertex_models | Initialize the Google Vertex Models. | null | false | true | 1,013 | 1,203 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_google_vertex_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_google_vertex_models
Docstring: Initialize the Google Vertex Models.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class:... |
method | _initialize_google_gla_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_google_gla_models | Initialize Google models in the catalog. | null | false | true | 1,205 | 1,373 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_google_gla_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_google_gla_models
Docstring: Initialize Google models in the catalog.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: M... |
method | _initialize_cohere_models | fenic.core._inference.model_catalog.ModelCatalog._initialize_cohere_models | Initialize Cohere models in the catalog. | null | false | true | 1,375 | 1,431 | null | null | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: _initialize_cohere_models
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._initialize_cohere_models
Docstring: Initialize Cohere models in the catalog.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: ModelCata... |
method | get_completion_model_parameters | fenic.core._inference.model_catalog.ModelCatalog.get_completion_model_parameters | Gets the parameters for a specific completion model.
Args:
model_provider: The provider of the model
model_name: The name of the model
Returns:
Model parameters if found, None otherwise | null | true | false | 1,434 | 1,445 | null | CompletionModelParameters | None | null | [
"self",
"model_provider",
"model_name"
] | null | ModelCatalog | Type: method
Member Name: get_completion_model_parameters
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.get_completion_model_parameters
Docstring: Gets the parameters for a specific completion model.
Args:
model_provider: The provider of the model
model_name: The name of the model
Returns:
... |
method | get_embedding_model_parameters | fenic.core._inference.model_catalog.ModelCatalog.get_embedding_model_parameters | Gets the parameters for a specific embedding model.
Args:
model_provider: The provider of the model
model_name: The name of the model
Returns:
Model parameters if found, None otherwise | null | true | false | 1,447 | 1,457 | null | EmbeddingModelParameters | None | null | [
"self",
"model_provider",
"model_name"
] | null | ModelCatalog | Type: method
Member Name: get_embedding_model_parameters
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.get_embedding_model_parameters
Docstring: Gets the parameters for a specific embedding model.
Args:
model_provider: The provider of the model
model_name: The name of the model
Returns:
... |
method | generate_unsupported_completion_model_error_message | fenic.core._inference.model_catalog.ModelCatalog.generate_unsupported_completion_model_error_message | Generates an error message for unsupported completion models.
Args:
model_provider: The provider of the unsupported model
model_name: The name of the unsupported model
Returns:
Error message string | null | true | false | 1,459 | 1,471 | null | str | null | [
"self",
"model_provider",
"model_name"
] | null | ModelCatalog | Type: method
Member Name: generate_unsupported_completion_model_error_message
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.generate_unsupported_completion_model_error_message
Docstring: Generates an error message for unsupported completion models.
Args:
model_provider: The provider of the unsup... |
method | generate_unsupported_embedding_model_error_message | fenic.core._inference.model_catalog.ModelCatalog.generate_unsupported_embedding_model_error_message | Generates an error message for unsupported embedding models.
Args:
model_provider: The provider of the unsupported model
model_name: The name of the unsupported model
Returns:
Error message string | null | true | false | 1,473 | 1,484 | null | str | null | [
"self",
"model_provider",
"model_name"
] | null | ModelCatalog | Type: method
Member Name: generate_unsupported_embedding_model_error_message
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.generate_unsupported_embedding_model_error_message
Docstring: Generates an error message for unsupported embedding models.
Args:
model_provider: The provider of the unsuppor... |
method | get_supported_completions_models_as_string | fenic.core._inference.model_catalog.ModelCatalog.get_supported_completions_models_as_string | Returns a comma-separated string of all supported completion models.
Returns:
Comma-separated string of model names in format 'provider:model' | null | true | false | 1,486 | 1,496 | null | str | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: get_supported_completions_models_as_string
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.get_supported_completions_models_as_string
Docstring: Returns a comma-separated string of all supported completion models.
Returns:
Comma-separated string of model names in format '... |
method | get_models_for_criteria | fenic.core._inference.model_catalog.ModelCatalog.get_models_for_criteria | Returns a comma-separated string of all models that match the given criteria.
Args:
criteria: A function that takes CompletionModelParameters and returns True if the model matches
Returns:
Comma-separated string of model names | null | true | false | 1,498 | 1,512 | null | str | null | [
"self",
"criteria"
] | null | ModelCatalog | Type: method
Member Name: get_models_for_criteria
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.get_models_for_criteria
Docstring: Returns a comma-separated string of all models that match the given criteria.
Args:
criteria: A function that takes CompletionModelParameters and returns True if the... |
method | get_supported_embeddings_models_as_string | fenic.core._inference.model_catalog.ModelCatalog.get_supported_embeddings_models_as_string | Returns a comma-separated string of all supported embedding models.
Returns:
Comma-separated string of model names | null | true | false | 1,514 | 1,524 | null | str | null | [
"self"
] | null | ModelCatalog | Type: method
Member Name: get_supported_embeddings_models_as_string
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.get_supported_embeddings_models_as_string
Docstring: Returns a comma-separated string of all supported embedding models.
Returns:
Comma-separated string of model names
Value: none
An... |
method | calculate_completion_model_cost | fenic.core._inference.model_catalog.ModelCatalog.calculate_completion_model_cost | Calculates the total cost for a completion model operation.
Args:
model_provider: The provider of the model
model_name: The name of the model
uncached_input_tokens: Number of uncached input tokens
cached_input_tokens_read: Number of cached input tokens read
output_tokens: Number of output tokens
... | null | true | false | 1,526 | 1,571 | null | float | null | [
"self",
"model_provider",
"model_name",
"uncached_input_tokens",
"cached_input_tokens_read",
"output_tokens",
"cached_input_tokens_written"
] | null | ModelCatalog | Type: method
Member Name: calculate_completion_model_cost
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.calculate_completion_model_cost
Docstring: Calculates the total cost for a completion model operation.
Args:
model_provider: The provider of the model
model_name: The name of the model
... |
method | calculate_embedding_model_cost | fenic.core._inference.model_catalog.ModelCatalog.calculate_embedding_model_cost | Calculates the total cost for an embedding model operation.
Args:
model_provider: The provider of the model
model_name: The name of the model
billable_inputs: Number of tokens or characters to embed (some Google models charge per character)
Returns:
Total cost in USD
Raises:
ValueError: If the mo... | null | true | false | 1,573 | 1,596 | null | float | null | [
"self",
"model_provider",
"model_name",
"billable_inputs"
] | null | ModelCatalog | Type: method
Member Name: calculate_embedding_model_cost
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.calculate_embedding_model_cost
Docstring: Calculates the total cost for an embedding model operation.
Args:
model_provider: The provider of the model
model_name: The name of the model
b... |
method | _add_model_to_catalog | fenic.core._inference.model_catalog.ModelCatalog._add_model_to_catalog | A helper method to add a model to the catalog, adding it to the appropriate provider collection.
Args:
model_provider: The provider of the model
name: The name of the model
parameters: The parameters of the model
snapshots: The optional list of snapshot names for the model
Raises:
InternalError: I... | null | false | true | 1,598 | 1,620 | null | null | null | [
"self",
"model_provider",
"name",
"parameters",
"snapshots"
] | null | ModelCatalog | Type: method
Member Name: _add_model_to_catalog
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._add_model_to_catalog
Docstring: A helper method to add a model to the catalog, adding it to the appropriate provider collection.
Args:
model_provider: The provider of the model
name: The name of th... |
method | add_model | fenic.core._inference.model_catalog.ModelCatalog.add_model | null | null | true | false | 1,623 | 1,636 | null | None | null | [
"self",
"model_provider",
"name",
"parameters",
"snapshots"
] | null | ModelCatalog | Type: method
Member Name: add_model
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.add_model
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_provider", "name", "parameters", "snapshots"]
Returns: None
Parent Class: ModelCatalog |
method | register_dynamic_provider | fenic.core._inference.model_catalog.ModelCatalog.register_dynamic_provider | Register a one-time loader that populates models on first request.
The loader should synchronously call add_model() for each model to register. | null | true | false | 1,638 | 1,645 | null | None | null | [
"self",
"model_provider",
"loader"
] | null | ModelCatalog | Type: method
Member Name: register_dynamic_provider
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog.register_dynamic_provider
Docstring: Register a one-time loader that populates models on first request.
The loader should synchronously call add_model() for each model to register.
Value: none
Annotatio... |
method | _get_supported_completions_models_by_provider | fenic.core._inference.model_catalog.ModelCatalog._get_supported_completions_models_by_provider | Returns the collection of completion models for a specific provider.
Args:
model_provider: The provider to get models for
Returns:
Collection of completion models for the specified provider, including snapshots | null | false | true | 1,647 | 1,677 | null | CompletionModelCollection | null | [
"self",
"model_provider"
] | null | ModelCatalog | Type: method
Member Name: _get_supported_completions_models_by_provider
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._get_supported_completions_models_by_provider
Docstring: Returns the collection of completion models for a specific provider.
Args:
model_provider: The provider to get models for... |
method | _get_supported_embeddings_models_by_provider | fenic.core._inference.model_catalog.ModelCatalog._get_supported_embeddings_models_by_provider | Returns the collection of embedding models for a specific provider.
Args:
model_provider: The provider to get models for
Returns:
Collection of embedding models for the specified provider, including snapshots | null | false | true | 1,679 | 1,690 | null | EmbeddingModelCollection | null | [
"self",
"model_provider"
] | null | ModelCatalog | Type: method
Member Name: _get_supported_embeddings_models_by_provider
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._get_supported_embeddings_models_by_provider
Docstring: Returns the collection of embedding models for a specific provider.
Args:
model_provider: The provider to get models for
R... |
method | _get_supported_completions_models_by_provider_as_string | fenic.core._inference.model_catalog.ModelCatalog._get_supported_completions_models_by_provider_as_string | Returns a comma-separated string of supported completion model names for a provider.
Args:
model_provider: The provider to get model names for
Returns:
Comma-separated string of model names | null | false | true | 1,692 | 1,709 | null | str | null | [
"self",
"model_provider"
] | null | ModelCatalog | Type: method
Member Name: _get_supported_completions_models_by_provider_as_string
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._get_supported_completions_models_by_provider_as_string
Docstring: Returns a comma-separated string of supported completion model names for a provider.
Args:
model_prov... |
method | _get_supported_embeddings_models_by_provider_as_string | fenic.core._inference.model_catalog.ModelCatalog._get_supported_embeddings_models_by_provider_as_string | Returns a comma-separated string of supported completion model names for a provider.
Args:
model_provider: The provider to get model names for
Returns:
Comma-separated string of model names | null | false | true | 1,711 | 1,728 | null | str | null | [
"self",
"model_provider"
] | null | ModelCatalog | Type: method
Member Name: _get_supported_embeddings_models_by_provider_as_string
Qualified Name: fenic.core._inference.model_catalog.ModelCatalog._get_supported_embeddings_models_by_provider_as_string
Docstring: Returns a comma-separated string of supported completion model names for a provider.
Args:
model_provid... |
attribute | model_catalog | fenic.core._inference.model_catalog.model_catalog | null | null | true | false | 1,732 | 1,732 | null | null | ModelCatalog() | null | null | null | Type: attribute
Member Name: model_catalog
Qualified Name: fenic.core._inference.model_catalog.model_catalog
Docstring: none
Value: ModelCatalog()
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
module | mcp | fenic.core.mcp | MCP Tool Generation/FastMCP Server Management. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/core/mcp/__init__.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: mcp
Qualified Name: fenic.core.mcp
Docstring: MCP Tool Generation/FastMCP Server Management.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
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