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⌀ | filepath
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values | is_public
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classes | is_private
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classes | line_start
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1.54k
⌀ | line_end
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1.56k
⌀ | annotation
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stringclasses 236
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⌀ | api_element_summary
stringlengths 199
23k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
method
|
__init__
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.__init__
|
Initialize the OpenAI embeddings client core.
Args:
model: The model to use
model_provider: The provider of the model
token_counter: Counter for estimating token usage
client: The OpenAI client
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 34 | 55 | null | null |
[
"self",
"model",
"model_provider",
"token_counter",
"client"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.__init__
Docstring: Initialize the OpenAI embeddings client core.
Args:
model: The model to use
model_provider: The provider of the model
token_counter: Counter for estimating token usage
client: The OpenAI client
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model", "model_provider", "token_counter", "client"]
Returns: none
Parent Class: OpenAIEmbeddingsCore
|
method
|
reset_metrics
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.reset_metrics
|
Reset the metrics.
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 57 | 59 | null |
None
|
[
"self"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: reset_metrics
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.reset_metrics
Docstring: Reset the metrics.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: None
Parent Class: OpenAIEmbeddingsCore
|
method
|
get_metrics
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.get_metrics
|
Get the metrics.
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 61 | 63 | null |
RMMetrics
|
[
"self"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: get_metrics
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.get_metrics
Docstring: Get the metrics.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: RMMetrics
Parent Class: OpenAIEmbeddingsCore
|
method
|
make_single_request
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.make_single_request
|
Make a single request to the OpenAI API.
Args:
request: The text to embed
Returns:
The embedding vector or an exception
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 65 | 121 | null |
Union[None, List[float], TransientException, FatalException]
|
[
"self",
"request"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: make_single_request
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.make_single_request
Docstring: Make a single request to the OpenAI API.
Args:
request: The text to embed
Returns:
The embedding vector or an exception
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: Union[None, List[float], TransientException, FatalException]
Parent Class: OpenAIEmbeddingsCore
|
method
|
get_request_key
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.get_request_key
|
Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 123 | 132 | null |
str
|
[
"self",
"request"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: get_request_key
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.get_request_key
Docstring: Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: str
Parent Class: OpenAIEmbeddingsCore
|
method
|
estimate_tokens_for_request
|
fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.estimate_tokens_for_request
|
Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate with input token count
|
site-packages/fenic/_inference/common_openai/openai_embeddings_core.py
| true | false | 134 | 143 | null |
TokenEstimate
|
[
"self",
"request"
] |
OpenAIEmbeddingsCore
| null | null |
Type: method
Member Name: estimate_tokens_for_request
Qualified Name: fenic._inference.common_openai.openai_embeddings_core.OpenAIEmbeddingsCore.estimate_tokens_for_request
Docstring: Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate with input token count
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: TokenEstimate
Parent Class: OpenAIEmbeddingsCore
|
module
|
openai_profile_manager
|
fenic._inference.common_openai.openai_profile_manager
| null |
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: openai_profile_manager
Qualified Name: fenic._inference.common_openai.openai_profile_manager
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
OpenAICompletionProfileConfiguration
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionProfileConfiguration
| null |
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | 9 | 12 | null | null | null | null | null |
[
"BaseProfileConfiguration"
] |
Type: class
Member Name: OpenAICompletionProfileConfiguration
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionProfileConfiguration
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionProfileConfiguration.__init__
| null |
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | 0 | 0 | null |
None
|
[
"self",
"additional_parameters",
"expected_additional_reasoning_tokens"
] |
OpenAICompletionProfileConfiguration
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionProfileConfiguration.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "additional_parameters", "expected_additional_reasoning_tokens"]
Returns: None
Parent Class: OpenAICompletionProfileConfiguration
|
class
|
OpenAICompletionsProfileManager
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager
|
Manages OpenAI-specific profile configurations.
|
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | 15 | 74 | null | null | null | null | null |
[
"ProfileManager[ResolvedOpenAIModelProfile, OpenAICompletionProfileConfiguration]"
] |
Type: class
Member Name: OpenAICompletionsProfileManager
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager
Docstring: Manages OpenAI-specific profile configurations.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager.__init__
| null |
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | 19 | 26 | null | null |
[
"self",
"model_parameters",
"profile_configurations",
"default_profile_name"
] |
OpenAICompletionsProfileManager
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_parameters", "profile_configurations", "default_profile_name"]
Returns: none
Parent Class: OpenAICompletionsProfileManager
|
method
|
_process_profile
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager._process_profile
|
Process OpenAI profile configuration.
|
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| false | true | 28 | 55 | null |
OpenAICompletionProfileConfiguration
|
[
"self",
"profile"
] |
OpenAICompletionsProfileManager
| null | null |
Type: method
Member Name: _process_profile
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager._process_profile
Docstring: Process OpenAI profile configuration.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "profile"]
Returns: OpenAICompletionProfileConfiguration
Parent Class: OpenAICompletionsProfileManager
|
method
|
get_default_profile
|
fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager.get_default_profile
|
Get default OpenAI configuration.
|
site-packages/fenic/_inference/common_openai/openai_profile_manager.py
| true | false | 57 | 74 | null |
OpenAICompletionProfileConfiguration
|
[
"self"
] |
OpenAICompletionsProfileManager
| null | null |
Type: method
Member Name: get_default_profile
Qualified Name: fenic._inference.common_openai.openai_profile_manager.OpenAICompletionsProfileManager.get_default_profile
Docstring: Get default OpenAI configuration.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: OpenAICompletionProfileConfiguration
Parent Class: OpenAICompletionsProfileManager
|
module
|
anthropic
|
fenic._inference.anthropic
| null |
site-packages/fenic/_inference/anthropic/__init__.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: anthropic
Qualified Name: fenic._inference.anthropic
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
anthropic_profile_manager
|
fenic._inference.anthropic.anthropic_profile_manager
| null |
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: anthropic_profile_manager
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
AnthropicProfileConfiguration
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicProfileConfiguration
|
Configuration for Anthropic model profiles.
Attributes:
thinking_enabled: Whether thinking/reasoning is enabled for this profile
thinking_token_budget: Token budget allocated for thinking/reasoning
thinking_config: Anthropic-specific thinking configuration
|
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | 11 | 23 | null | null | null | null | null |
[
"BaseProfileConfiguration"
] |
Type: class
Member Name: AnthropicProfileConfiguration
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicProfileConfiguration
Docstring: Configuration for Anthropic model profiles.
Attributes:
thinking_enabled: Whether thinking/reasoning is enabled for this profile
thinking_token_budget: Token budget allocated for thinking/reasoning
thinking_config: Anthropic-specific thinking configuration
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicProfileConfiguration.__init__
| null |
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | 0 | 0 | null |
None
|
[
"self",
"thinking_enabled",
"thinking_token_budget",
"thinking_config"
] |
AnthropicProfileConfiguration
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicProfileConfiguration.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "thinking_enabled", "thinking_token_budget", "thinking_config"]
Returns: None
Parent Class: AnthropicProfileConfiguration
|
class
|
AnthropicCompletionsProfileManager
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager
|
Manages Anthropic-specific profile configurations.
This class handles the conversion of Fenic profile configurations to
Anthropic-specific configurations, including thinking/reasoning settings.
|
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | 26 | 79 | null | null | null | null | null |
[
"ProfileManager[ResolvedAnthropicModelProfile, AnthropicProfileConfiguration]"
] |
Type: class
Member Name: AnthropicCompletionsProfileManager
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager
Docstring: Manages Anthropic-specific profile configurations.
This class handles the conversion of Fenic profile configurations to
Anthropic-specific configurations, including thinking/reasoning settings.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager.__init__
|
Initialize the Anthropic profile configuration manager.
Args:
model_parameters: Parameters for the completion model
profile_configurations: Dictionary of profile configurations
default_profile_name: Name of the default profile to use
|
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | 33 | 47 | null | null |
[
"self",
"model_parameters",
"profile_configurations",
"default_profile_name"
] |
AnthropicCompletionsProfileManager
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager.__init__
Docstring: Initialize the Anthropic profile configuration manager.
Args:
model_parameters: Parameters for the completion model
profile_configurations: Dictionary of profile configurations
default_profile_name: Name of the default profile to use
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_parameters", "profile_configurations", "default_profile_name"]
Returns: none
Parent Class: AnthropicCompletionsProfileManager
|
method
|
_process_profile
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager._process_profile
|
Process Anthropic profile configuration.
Converts a Fenic profile configuration to an Anthropic-specific configuration,
handling thinking/reasoning settings based on model capabilities.
Args:
profile: The Fenic profile configuration to process
Returns:
Anthropic-specific profile configuration
|
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| false | true | 49 | 71 | null |
AnthropicProfileConfiguration
|
[
"self",
"profile"
] |
AnthropicCompletionsProfileManager
| null | null |
Type: method
Member Name: _process_profile
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager._process_profile
Docstring: Process Anthropic profile configuration.
Converts a Fenic profile configuration to an Anthropic-specific configuration,
handling thinking/reasoning settings based on model capabilities.
Args:
profile: The Fenic profile configuration to process
Returns:
Anthropic-specific profile configuration
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "profile"]
Returns: AnthropicProfileConfiguration
Parent Class: AnthropicCompletionsProfileManager
|
method
|
get_default_profile
|
fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager.get_default_profile
|
Get default Anthropic configuration.
Returns:
Default configuration with thinking disabled
|
site-packages/fenic/_inference/anthropic/anthropic_profile_manager.py
| true | false | 73 | 79 | null |
AnthropicProfileConfiguration
|
[
"self"
] |
AnthropicCompletionsProfileManager
| null | null |
Type: method
Member Name: get_default_profile
Qualified Name: fenic._inference.anthropic.anthropic_profile_manager.AnthropicCompletionsProfileManager.get_default_profile
Docstring: Get default Anthropic configuration.
Returns:
Default configuration with thinking disabled
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: AnthropicProfileConfiguration
Parent Class: AnthropicCompletionsProfileManager
|
module
|
anthropic_batch_chat_completions_client
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: anthropic_batch_chat_completions_client
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
TEXT_DELTA
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.TEXT_DELTA
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 51 | 51 | null | null | null | null |
'text_delta'
| null |
Type: attribute
Member Name: TEXT_DELTA
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.TEXT_DELTA
Docstring: none
Value: 'text_delta'
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
MESSAGE_STOP
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.MESSAGE_STOP
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 53 | 53 | null | null | null | null |
'message_stop'
| null |
Type: attribute
Member Name: MESSAGE_STOP
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.MESSAGE_STOP
Docstring: none
Value: 'message_stop'
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
INPUT_JSON_DELTA
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.INPUT_JSON_DELTA
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 55 | 55 | null | null | null | null |
'input_json_delta'
| null |
Type: attribute
Member Name: INPUT_JSON_DELTA
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.INPUT_JSON_DELTA
Docstring: none
Value: 'input_json_delta'
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
CONTENT_BLOCK_DELTA
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.CONTENT_BLOCK_DELTA
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 57 | 57 | null | null | null | null |
'content_block_delta'
| null |
Type: attribute
Member Name: CONTENT_BLOCK_DELTA
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.CONTENT_BLOCK_DELTA
Docstring: none
Value: 'content_block_delta'
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
EPHEMERAL_CACHE_CONTROL
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.EPHEMERAL_CACHE_CONTROL
| null |
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 59 | 59 | null | null | null | null |
CacheControlEphemeralParam(type='ephemeral')
| null |
Type: attribute
Member Name: EPHEMERAL_CACHE_CONTROL
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.EPHEMERAL_CACHE_CONTROL
Docstring: none
Value: CacheControlEphemeralParam(type='ephemeral')
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
AnthropicBatchCompletionsClient
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient
|
Anthropic batch chat completions client.
This client handles communication with Anthropic's Claude models for batch
chat completions. It supports streaming responses, structured output,
thinking/reasoning capabilities, and token counting with Anthropic-specific
adjustments.
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 62 | 403 | null | null | null | null | null |
[
"ModelClient[FenicCompletionsRequest, FenicCompletionsResponse]"
] |
Type: class
Member Name: AnthropicBatchCompletionsClient
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient
Docstring: Anthropic batch chat completions client.
This client handles communication with Anthropic's Claude models for batch
chat completions. It supports streaming responses, structured output,
thinking/reasoning capabilities, and token counting with Anthropic-specific
adjustments.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.__init__
|
Initialize the Anthropic batch completions client.
Args:
rate_limit_strategy: Strategy for rate limiting requests
queue_size: Maximum size of the request queue
model: Anthropic model name to use
max_backoffs: Maximum number of retry backoffs
profiles: Dictionary of profile configurations
default_profile_name: Name of the default profile to use
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 74 | 116 | null | null |
[
"self",
"rate_limit_strategy",
"model",
"queue_size",
"max_backoffs",
"profiles",
"default_profile_name"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.__init__
Docstring: Initialize the Anthropic batch completions client.
Args:
rate_limit_strategy: Strategy for rate limiting requests
queue_size: Maximum size of the request queue
model: Anthropic model name to use
max_backoffs: Maximum number of retry backoffs
profiles: Dictionary of profile configurations
default_profile_name: Name of the default profile to use
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rate_limit_strategy", "model", "queue_size", "max_backoffs", "profiles", "default_profile_name"]
Returns: none
Parent Class: AnthropicBatchCompletionsClient
|
method
|
make_single_request
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.make_single_request
|
Make a single completion request to Anthropic.
Handles both text and structured output requests, with support for
thinking/reasoning when enabled. Processes streaming responses and
extracts usage metrics.
Args:
request: The completion request to process
Returns:
Completion response, transient exception, or fatal exception
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 118 | 198 | null |
Union[None, FenicCompletionsResponse, TransientException, FatalException]
|
[
"self",
"request"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: make_single_request
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.make_single_request
Docstring: Make a single completion request to Anthropic.
Handles both text and structured output requests, with support for
thinking/reasoning when enabled. Processes streaming responses and
extracts usage metrics.
Args:
request: The completion request to process
Returns:
Completion response, transient exception, or fatal exception
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: Union[None, FenicCompletionsResponse, TransientException, FatalException]
Parent Class: AnthropicBatchCompletionsClient
|
method
|
_handle_text_streaming_response
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._handle_text_streaming_response
|
Handle streaming text response from Anthropic.
Processes streaming chunks to extract text content and usage data.
Args:
payload: The request payload sent to Anthropic
Returns:
Tuple of (content, usage_data)
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| false | true | 200 | 220 | null |
tuple[str, Optional[anthropic.types.Usage]]
|
[
"self",
"payload"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: _handle_text_streaming_response
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._handle_text_streaming_response
Docstring: Handle streaming text response from Anthropic.
Processes streaming chunks to extract text content and usage data.
Args:
payload: The request payload sent to Anthropic
Returns:
Tuple of (content, usage_data)
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "payload"]
Returns: tuple[str, Optional[anthropic.types.Usage]]
Parent Class: AnthropicBatchCompletionsClient
|
method
|
_handle_structured_output_streaming_response
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._handle_structured_output_streaming_response
|
Handle streaming structured output response from Anthropic.
Processes streaming chunks to extract JSON content from tool use and usage data.
Args:
payload: The request payload sent to Anthropic
Returns:
Tuple of (tool_use_content, usage_data)
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| false | true | 222 | 242 | null |
tuple[str, Optional[anthropic.types.Usage]]
|
[
"self",
"payload"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: _handle_structured_output_streaming_response
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._handle_structured_output_streaming_response
Docstring: Handle streaming structured output response from Anthropic.
Processes streaming chunks to extract JSON content from tool use and usage data.
Args:
payload: The request payload sent to Anthropic
Returns:
Tuple of (tool_use_content, usage_data)
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "payload"]
Returns: tuple[str, Optional[anthropic.types.Usage]]
Parent Class: AnthropicBatchCompletionsClient
|
method
|
estimate_response_format_tokens
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.estimate_response_format_tokens
|
Estimate token count for a response format schema.
Uses Anthropic's API to count tokens in a tool parameter that represents
the response format schema. Results are cached for performance.
Args:
response_format: Pydantic model class defining the response format
Returns:
Estimated token count for the response format
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 246 | 270 | null |
int
|
[
"self",
"response_format"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: estimate_response_format_tokens
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.estimate_response_format_tokens
Docstring: Estimate token count for a response format schema.
Uses Anthropic's API to count tokens in a tool parameter that represents
the response format schema. Results are cached for performance.
Args:
response_format: Pydantic model class defining the response format
Returns:
Estimated token count for the response format
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "response_format"]
Returns: int
Parent Class: AnthropicBatchCompletionsClient
|
method
|
_estimate_structured_output_overhead
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._estimate_structured_output_overhead
|
Use Anthropic's API-based token counting for structured output.
Args:
response_format: Pydantic model class defining the response format
Returns:
Estimated token overhead for structured output
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| false | true | 272 | 281 | null |
int
|
[
"self",
"response_format"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: _estimate_structured_output_overhead
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._estimate_structured_output_overhead
Docstring: Use Anthropic's API-based token counting for structured output.
Args:
response_format: Pydantic model class defining the response format
Returns:
Estimated token overhead for structured output
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "response_format"]
Returns: int
Parent Class: AnthropicBatchCompletionsClient
|
method
|
_get_max_output_tokens
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._get_max_output_tokens
|
Get maximum output tokens including thinking budget.
Args:
request: The completion request
Returns:
Maximum output tokens (completion + thinking budget)
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| false | true | 283 | 292 | null |
int
|
[
"self",
"request"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: _get_max_output_tokens
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient._get_max_output_tokens
Docstring: Get maximum output tokens including thinking budget.
Args:
request: The completion request
Returns:
Maximum output tokens (completion + thinking budget)
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "request"]
Returns: int
Parent Class: AnthropicBatchCompletionsClient
|
method
|
count_tokens
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.count_tokens
|
Count tokens with Anthropic encoding adjustment.
Applies a tokenizer adjustment ratio to account for differences
between Anthropic's and OpenAI's tokenization.
Args:
messages: Messages to count tokens for
Returns:
Adjusted token count
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 297 | 309 | null |
int
|
[
"self",
"messages"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: count_tokens
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.count_tokens
Docstring: Count tokens with Anthropic encoding adjustment.
Applies a tokenizer adjustment ratio to account for differences
between Anthropic's and OpenAI's tokenization.
Args:
messages: Messages to count tokens for
Returns:
Adjusted token count
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "messages"]
Returns: int
Parent Class: AnthropicBatchCompletionsClient
|
method
|
get_request_key
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.get_request_key
|
Generate a unique key for the request.
Args:
request: The completion request
Returns:
Unique request key for caching
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 311 | 320 | null |
str
|
[
"self",
"request"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: get_request_key
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.get_request_key
Docstring: Generate a unique key for the request.
Args:
request: The completion request
Returns:
Unique request key for caching
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: str
Parent Class: AnthropicBatchCompletionsClient
|
method
|
estimate_tokens_for_request
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.estimate_tokens_for_request
|
Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate: The estimated token usage
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 322 | 342 | null | null |
[
"self",
"request"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: estimate_tokens_for_request
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.estimate_tokens_for_request
Docstring: Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate: The estimated token usage
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: none
Parent Class: AnthropicBatchCompletionsClient
|
method
|
get_metrics
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.get_metrics
|
Get current metrics.
Returns:
Current language model metrics
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 344 | 350 | null |
LMMetrics
|
[
"self"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: get_metrics
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.get_metrics
Docstring: Get current metrics.
Returns:
Current language model metrics
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: LMMetrics
Parent Class: AnthropicBatchCompletionsClient
|
method
|
reset_metrics
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.reset_metrics
|
Reset metrics to initial state.
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 352 | 354 | null | null |
[
"self"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: reset_metrics
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.reset_metrics
Docstring: Reset metrics to initial state.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: AnthropicBatchCompletionsClient
|
method
|
create_response_format_tool
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.create_response_format_tool
|
Create a tool parameter for structured output.
Converts a JSON schema to an Anthropic tool parameter for
structured output formatting.
Args:
response_format: Resolved JSON schema defining the response format
Returns:
Anthropic tool parameter
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 356 | 374 | null |
ToolParam
|
[
"self",
"response_format"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: create_response_format_tool
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.create_response_format_tool
Docstring: Create a tool parameter for structured output.
Converts a JSON schema to an Anthropic tool parameter for
structured output formatting.
Args:
response_format: Resolved JSON schema defining the response format
Returns:
Anthropic tool parameter
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "response_format"]
Returns: ToolParam
Parent Class: AnthropicBatchCompletionsClient
|
method
|
convert_messages
|
fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.convert_messages
|
Convert Fenic messages to Anthropic format.
Converts Fenic LMRequestMessages to Anthropic's TextBlockParam and
MessageParam format, including system prompt and conversation history.
Args:
messages: Fenic message format
Returns:
Tuple of (system_prompt, message_params)
|
site-packages/fenic/_inference/anthropic/anthropic_batch_chat_completions_client.py
| true | false | 376 | 403 | null |
tuple[TextBlockParam, list[MessageParam]]
|
[
"self",
"messages"
] |
AnthropicBatchCompletionsClient
| null | null |
Type: method
Member Name: convert_messages
Qualified Name: fenic._inference.anthropic.anthropic_batch_chat_completions_client.AnthropicBatchCompletionsClient.convert_messages
Docstring: Convert Fenic messages to Anthropic format.
Converts Fenic LMRequestMessages to Anthropic's TextBlockParam and
MessageParam format, including system prompt and conversation history.
Args:
messages: Fenic message format
Returns:
Tuple of (system_prompt, message_params)
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "messages"]
Returns: tuple[TextBlockParam, list[MessageParam]]
Parent Class: AnthropicBatchCompletionsClient
|
module
|
anthropic_provider
|
fenic._inference.anthropic.anthropic_provider
|
Anthropic model provider implementation.
|
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: anthropic_provider
Qualified Name: fenic._inference.anthropic.anthropic_provider
Docstring: Anthropic model provider implementation.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
logger
|
fenic._inference.anthropic.anthropic_provider.logger
| null |
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | 9 | 9 | null | null | null | null |
logging.getLogger(__name__)
| null |
Type: attribute
Member Name: logger
Qualified Name: fenic._inference.anthropic.anthropic_provider.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
AnthropicModelProvider
|
fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider
|
Anthropic implementation of ModelProvider.
|
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | 12 | 31 | null | null | null | null | null |
[
"ModelProviderClass"
] |
Type: class
Member Name: AnthropicModelProvider
Qualified Name: fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider
Docstring: Anthropic implementation of ModelProvider.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
create_client
|
fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.create_client
|
Create an Anthropic sync client instance.
|
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | 19 | 21 | null | null |
[
"self"
] |
AnthropicModelProvider
| null | null |
Type: method
Member Name: create_client
Qualified Name: fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.create_client
Docstring: Create an Anthropic sync client instance.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: AnthropicModelProvider
|
method
|
create_aio_client
|
fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.create_aio_client
|
Create an Anthropic async client instance.
|
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | 23 | 25 | null | null |
[
"self"
] |
AnthropicModelProvider
| null | null |
Type: method
Member Name: create_aio_client
Qualified Name: fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.create_aio_client
Docstring: Create an Anthropic async client instance.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: AnthropicModelProvider
|
method
|
validate_api_key
|
fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.validate_api_key
|
Validate Anthropic API key by making a minimal completion request.
|
site-packages/fenic/_inference/anthropic/anthropic_provider.py
| true | false | 27 | 31 | null |
None
|
[
"self"
] |
AnthropicModelProvider
| null | null |
Type: method
Member Name: validate_api_key
Qualified Name: fenic._inference.anthropic.anthropic_provider.AnthropicModelProvider.validate_api_key
Docstring: Validate Anthropic API key by making a minimal completion request.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: None
Parent Class: AnthropicModelProvider
|
module
|
openai
|
fenic._inference.openai
| null |
site-packages/fenic/_inference/openai/__init__.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: openai
Qualified Name: fenic._inference.openai
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
openai_batch_embeddings_client
|
fenic._inference.openai.openai_batch_embeddings_client
|
Client for making batch requests to OpenAI's embeddings API.
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: openai_batch_embeddings_client
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client
Docstring: Client for making batch requests to OpenAI's embeddings API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
logger
|
fenic._inference.openai.openai_batch_embeddings_client.logger
| null |
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 25 | 25 | null | null | null | null |
logging.getLogger(__name__)
| null |
Type: attribute
Member Name: logger
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
OpenAIBatchEmbeddingsClient
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient
|
Client for making batch requests to OpenAI's embeddings API.
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 28 | 117 | null | null | null | null | null |
[
"ModelClient[FenicEmbeddingsRequest, list[float]]"
] |
Type: class
Member Name: OpenAIBatchEmbeddingsClient
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient
Docstring: Client for making batch requests to OpenAI's embeddings API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.__init__
|
Initialize the OpenAI batch embeddings client.
Args:
rate_limit_strategy: Strategy for handling rate limits
queue_size: Size of the request queue
model: The model to use
max_backoffs: Maximum number of backoff attempts
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 31 | 61 | null | null |
[
"self",
"rate_limit_strategy",
"model",
"queue_size",
"max_backoffs"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.__init__
Docstring: Initialize the OpenAI batch embeddings client.
Args:
rate_limit_strategy: Strategy for handling rate limits
queue_size: Size of the request queue
model: The model to use
max_backoffs: Maximum number of backoff attempts
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rate_limit_strategy", "model", "queue_size", "max_backoffs"]
Returns: none
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
make_single_request
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.make_single_request
|
Make a single request to the OpenAI API.
Args:
request: The request to make
Returns:
The response from the API or an exception
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 63 | 74 | null |
Union[None, list[float], TransientException, FatalException]
|
[
"self",
"request"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: make_single_request
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.make_single_request
Docstring: Make a single request to the OpenAI API.
Args:
request: The request to make
Returns:
The response from the API or an exception
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: Union[None, list[float], TransientException, FatalException]
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
get_request_key
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.get_request_key
|
Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 76 | 85 | null |
str
|
[
"self",
"request"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: get_request_key
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.get_request_key
Docstring: Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: str
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
estimate_tokens_for_request
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.estimate_tokens_for_request
|
Estimate the number of tokens for a request. Overriding the behavior in the base class
as Embedding models do not generate any output tokens.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate with input token count
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 87 | 97 | null |
TokenEstimate
|
[
"self",
"request"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: estimate_tokens_for_request
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.estimate_tokens_for_request
Docstring: Estimate the number of tokens for a request. Overriding the behavior in the base class
as Embedding models do not generate any output tokens.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate with input token count
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: TokenEstimate
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
reset_metrics
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.reset_metrics
|
Reset all metrics to their initial values.
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 99 | 101 | null | null |
[
"self"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: reset_metrics
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.reset_metrics
Docstring: Reset all metrics to their initial values.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
get_metrics
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.get_metrics
|
Get the current metrics.
Returns:
The current metrics
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 103 | 109 | null |
RMMetrics
|
[
"self"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: get_metrics
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.get_metrics
Docstring: Get the current metrics.
Returns:
The current metrics
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: RMMetrics
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
_get_max_output_tokens
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient._get_max_output_tokens
| null |
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| false | true | 111 | 112 | null |
int
|
[
"self",
"request"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: _get_max_output_tokens
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient._get_max_output_tokens
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "request"]
Returns: int
Parent Class: OpenAIBatchEmbeddingsClient
|
method
|
validate_api_key
|
fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.validate_api_key
|
Validate the OpenAI API token by making a minimal API call.
|
site-packages/fenic/_inference/openai/openai_batch_embeddings_client.py
| true | false | 114 | 117 | null | null |
[
"self"
] |
OpenAIBatchEmbeddingsClient
| null | null |
Type: method
Member Name: validate_api_key
Qualified Name: fenic._inference.openai.openai_batch_embeddings_client.OpenAIBatchEmbeddingsClient.validate_api_key
Docstring: Validate the OpenAI API token by making a minimal API call.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: OpenAIBatchEmbeddingsClient
|
module
|
openai_batch_chat_completions_client
|
fenic._inference.openai.openai_batch_chat_completions_client
|
Client for making batch requests to OpenAI's chat completions API.
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: openai_batch_chat_completions_client
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client
Docstring: Client for making batch requests to OpenAI's chat completions API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
class
|
OpenAIBatchChatCompletionsClient
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient
|
Client for making batch requests to OpenAI's chat completions API.
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 27 | 127 | null | null | null | null | null |
[
"ModelClient[FenicCompletionsRequest, FenicCompletionsResponse]"
] |
Type: class
Member Name: OpenAIBatchChatCompletionsClient
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient
Docstring: Client for making batch requests to OpenAI's chat completions API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.__init__
|
Initialize the OpenAI batch chat completions client.
Args:
rate_limit_strategy: Strategy for handling rate limits
queue_size: Size of the request queue
model: The model to use
max_backoffs: Maximum number of backoff attempts
profiles: Dictionary of profile configurations
default_profile_name: Default profile to use when none specified
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 30 | 69 | null | null |
[
"self",
"rate_limit_strategy",
"model",
"queue_size",
"max_backoffs",
"profiles",
"default_profile_name"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.__init__
Docstring: Initialize the OpenAI batch chat completions client.
Args:
rate_limit_strategy: Strategy for handling rate limits
queue_size: Size of the request queue
model: The model to use
max_backoffs: Maximum number of backoff attempts
profiles: Dictionary of profile configurations
default_profile_name: Default profile to use when none specified
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rate_limit_strategy", "model", "queue_size", "max_backoffs", "profiles", "default_profile_name"]
Returns: none
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
make_single_request
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.make_single_request
|
Make a single request to the OpenAI API.
Args:
request: The request to make
Returns:
The response from the API or an exception
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 71 | 82 | null |
Union[None, FenicCompletionsResponse, TransientException, FatalException]
|
[
"self",
"request"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: make_single_request
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.make_single_request
Docstring: Make a single request to the OpenAI API.
Args:
request: The request to make
Returns:
The response from the API or an exception
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: Union[None, FenicCompletionsResponse, TransientException, FatalException]
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
get_request_key
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.get_request_key
|
Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 84 | 93 | null |
str
|
[
"self",
"request"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: get_request_key
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.get_request_key
Docstring: Generate a unique key for request deduplication.
Args:
request: The request to generate a key for
Returns:
A unique key for the request
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: str
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
estimate_tokens_for_request
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.estimate_tokens_for_request
|
Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate: The estimated token usage
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 95 | 107 | null |
TokenEstimate
|
[
"self",
"request"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: estimate_tokens_for_request
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.estimate_tokens_for_request
Docstring: Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate: The estimated token usage
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "request"]
Returns: TokenEstimate
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
reset_metrics
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.reset_metrics
|
Reset all metrics to their initial values.
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 109 | 111 | null | null |
[
"self"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: reset_metrics
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.reset_metrics
Docstring: Reset all metrics to their initial values.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
get_metrics
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.get_metrics
|
Get the current metrics.
Returns:
The current metrics
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| true | false | 113 | 119 | null |
LMMetrics
|
[
"self"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: get_metrics
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient.get_metrics
Docstring: Get the current metrics.
Returns:
The current metrics
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: LMMetrics
Parent Class: OpenAIBatchChatCompletionsClient
|
method
|
_get_max_output_tokens
|
fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient._get_max_output_tokens
|
Conservative estimate: max_completion_tokens + reasoning effort-based thinking tokens.
|
site-packages/fenic/_inference/openai/openai_batch_chat_completions_client.py
| false | true | 121 | 127 | null |
int
|
[
"self",
"request"
] |
OpenAIBatchChatCompletionsClient
| null | null |
Type: method
Member Name: _get_max_output_tokens
Qualified Name: fenic._inference.openai.openai_batch_chat_completions_client.OpenAIBatchChatCompletionsClient._get_max_output_tokens
Docstring: Conservative estimate: max_completion_tokens + reasoning effort-based thinking tokens.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "request"]
Returns: int
Parent Class: OpenAIBatchChatCompletionsClient
|
module
|
_gen
|
fenic._gen
|
Generated code for fenic.
|
site-packages/fenic/_gen/__init__.py
| false | true | null | null | null | null | null | null | null | null |
Type: module
Member Name: _gen
Qualified Name: fenic._gen
Docstring: Generated code for fenic.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none
|
module
|
protos
|
fenic._gen.protos
|
Generated protobuf files for fenic.
|
site-packages/fenic/_gen/protos/__init__.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: protos
Qualified Name: fenic._gen.protos
Docstring: Generated protobuf files for fenic.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
logical_plan
|
fenic._gen.protos.logical_plan
|
Logical plan protobuf files.
|
site-packages/fenic/_gen/protos/logical_plan/__init__.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: logical_plan
Qualified Name: fenic._gen.protos.logical_plan
Docstring: Logical plan protobuf files.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
v1
|
fenic._gen.protos.logical_plan.v1
|
Logical plan v1 protobuf files.
|
site-packages/fenic/_gen/protos/logical_plan/v1/__init__.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: v1
Qualified Name: fenic._gen.protos.logical_plan.v1
Docstring: Logical plan v1 protobuf files.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
enums_pb2_grpc
|
fenic._gen.protos.logical_plan.v1.enums_pb2_grpc
|
Client and server classes corresponding to protobuf-defined services.
|
site-packages/fenic/_gen/protos/logical_plan/v1/enums_pb2_grpc.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: enums_pb2_grpc
Qualified Name: fenic._gen.protos.logical_plan.v1.enums_pb2_grpc
Docstring: Client and server classes corresponding to protobuf-defined services.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
tools_pb2
|
fenic._gen.protos.logical_plan.v1.tools_pb2
|
Generated protocol buffer code.
|
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: tools_pb2
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2
Docstring: Generated protocol buffer code.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
_sym_db
|
fenic._gen.protos.logical_plan.v1.tools_pb2._sym_db
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| false | true | 22 | 22 | null | null | null | null |
_symbol_database.Default()
| null |
Type: attribute
Member Name: _sym_db
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2._sym_db
Docstring: none
Value: _symbol_database.Default()
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
DESCRIPTOR
|
fenic._gen.protos.logical_plan.v1.tools_pb2.DESCRIPTOR
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | 30 | 30 |
_descriptor.FileDescriptor
| null | null | null |
_descriptor_pool.Default().AddSerializedFile(b'\n\x1blogical_plan/v1/tools.proto\x12\x0flogical_plan.v1\x1a\x1flogical_plan/v1/datatypes.proto\x1a#logical_plan/v1/complex_types.proto\x1a\x1blogical_plan/v1/plans.proto"\xd9\x02\n\rToolParameter\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12 \n\x0bdescription\x18\x02 \x01(\tR\x0bdescription\x126\n\tdata_type\x18\x03 \x01(\x0b2\x19.logical_plan.v1.DataTypeR\x08dataType\x12\x1a\n\x08required\x18\x04 \x01(\x08R\x08required\x12\x1f\n\x0bhas_default\x18\x05 \x01(\x08R\nhasDefault\x12F\n\rdefault_value\x18\x06 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueH\x00R\x0cdefaultValue\x88\x01\x01\x12C\n\x0eallowed_values\x18\x07 \x03(\x0b2\x1c.logical_plan.v1.ScalarValueR\rallowedValuesB\x10\n\x0e_default_value"\xee\x01\n\x0eToolDefinition\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12 \n\x0bdescription\x18\x02 \x01(\tR\x0bdescription\x126\n\x06params\x18\x03 \x03(\x0b2\x1e.logical_plan.v1.ToolParameterR\x06params\x12K\n\x12parameterized_view\x18\x04 \x01(\x0b2\x1c.logical_plan.v1.LogicalPlanR\x11parameterizedView\x12!\n\x0cresult_limit\x18\x05 \x01(\x05R\x0bresultLimitBz\n\x13com.logical_plan.v1B\nToolsProtoP\x01\xa2\x02\x03LXX\xaa\x02\x0eLogicalPlan.V1\xca\x02\x0eLogicalPlan\\V1\xe2\x02\x1aLogicalPlan\\V1\\GPBMetadata\xea\x02\x0fLogicalPlan::V1b\x06proto3')
| null |
Type: attribute
Member Name: DESCRIPTOR
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2.DESCRIPTOR
Docstring: none
Value: _descriptor_pool.Default().AddSerializedFile(b'\n\x1blogical_plan/v1/tools.proto\x12\x0flogical_plan.v1\x1a\x1flogical_plan/v1/datatypes.proto\x1a#logical_plan/v1/complex_types.proto\x1a\x1blogical_plan/v1/plans.proto"\xd9\x02\n\rToolParameter\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12 \n\x0bdescription\x18\x02 \x01(\tR\x0bdescription\x126\n\tdata_type\x18\x03 \x01(\x0b2\x19.logical_plan.v1.DataTypeR\x08dataType\x12\x1a\n\x08required\x18\x04 \x01(\x08R\x08required\x12\x1f\n\x0bhas_default\x18\x05 \x01(\x08R\nhasDefault\x12F\n\rdefault_value\x18\x06 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueH\x00R\x0cdefaultValue\x88\x01\x01\x12C\n\x0eallowed_values\x18\x07 \x03(\x0b2\x1c.logical_plan.v1.ScalarValueR\rallowedValuesB\x10\n\x0e_default_value"\xee\x01\n\x0eToolDefinition\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12 \n\x0bdescription\x18\x02 \x01(\tR\x0bdescription\x126\n\x06params\x18\x03 \x03(\x0b2\x1e.logical_plan.v1.ToolParameterR\x06params\x12K\n\x12parameterized_view\x18\x04 \x01(\x0b2\x1c.logical_plan.v1.LogicalPlanR\x11parameterizedView\x12!\n\x0cresult_limit\x18\x05 \x01(\x05R\x0bresultLimitBz\n\x13com.logical_plan.v1B\nToolsProtoP\x01\xa2\x02\x03LXX\xaa\x02\x0eLogicalPlan.V1\xca\x02\x0eLogicalPlan\\V1\xe2\x02\x1aLogicalPlan\\V1\\GPBMetadata\xea\x02\x0fLogicalPlan::V1b\x06proto3')
Annotation: _descriptor.FileDescriptor
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
_globals
|
fenic._gen.protos.logical_plan.v1.tools_pb2._globals
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| false | true | 32 | 32 | null | null | null | null |
globals()
| null |
Type: attribute
Member Name: _globals
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2._globals
Docstring: none
Value: globals()
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none
|
class
|
ToolParameter
|
fenic._gen.protos.logical_plan.v1.tools_pb2.ToolParameter
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | 11 | 27 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ToolParameter
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2.ToolParameter
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.tools_pb2.ToolParameter.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | 27 | 27 | null |
None
|
[
"self",
"name",
"description",
"data_type",
"required",
"has_default",
"default_value",
"allowed_values"
] |
ToolParameter
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2.ToolParameter.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "name", "description", "data_type", "required", "has_default", "default_value", "allowed_values"]
Returns: None
Parent Class: ToolParameter
|
class
|
ToolDefinition
|
fenic._gen.protos.logical_plan.v1.tools_pb2.ToolDefinition
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | 29 | 41 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ToolDefinition
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2.ToolDefinition
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.tools_pb2.ToolDefinition.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2.py
| true | false | 41 | 41 | null |
None
|
[
"self",
"name",
"description",
"params",
"parameterized_view",
"result_limit"
] |
ToolDefinition
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2.ToolDefinition.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "name", "description", "params", "parameterized_view", "result_limit"]
Returns: None
Parent Class: ToolDefinition
|
module
|
tools_pb2_grpc
|
fenic._gen.protos.logical_plan.v1.tools_pb2_grpc
|
Client and server classes corresponding to protobuf-defined services.
|
site-packages/fenic/_gen/protos/logical_plan/v1/tools_pb2_grpc.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: tools_pb2_grpc
Qualified Name: fenic._gen.protos.logical_plan.v1.tools_pb2_grpc
Docstring: Client and server classes corresponding to protobuf-defined services.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
module
|
complex_types_pb2
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2
|
Generated protocol buffer code.
|
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | null | null | null | null | null | null | null | null |
Type: module
Member Name: complex_types_pb2
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2
Docstring: Generated protocol buffer code.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
_sym_db
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2._sym_db
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| false | true | 22 | 22 | null | null | null | null |
_symbol_database.Default()
| null |
Type: attribute
Member Name: _sym_db
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2._sym_db
Docstring: none
Value: _symbol_database.Default()
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
DESCRIPTOR
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.DESCRIPTOR
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 28 | 28 |
_descriptor.FileDescriptor
| null | null | null |
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| null |
Type: attribute
Member Name: DESCRIPTOR
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.DESCRIPTOR
Docstring: none
Value: _descriptor_pool.Default().AddSerializedFile(b'\n#logical_plan/v1/complex_types.proto\x12\x0flogical_plan.v1\x1a\x1flogical_plan/v1/datatypes.proto"\xcd\x02\n\x0bScalarValue\x12#\n\x0cstring_value\x18\x01 \x01(\tH\x00R\x0bstringValue\x12\x1d\n\tint_value\x18\x02 \x01(\x05H\x00R\x08intValue\x12#\n\x0cdouble_value\x18\x03 \x01(\x01H\x00R\x0bdoubleValue\x12\x1f\n\nbool_value\x18\x04 \x01(\x08H\x00R\tboolValue\x12!\n\x0bbytes_value\x18\x05 \x01(\x0cH\x00R\nbytesValue\x12?\n\x0barray_value\x18\x06 \x01(\x0b2\x1c.logical_plan.v1.ScalarArrayH\x00R\narrayValue\x12B\n\x0cstruct_value\x18\x07 \x01(\x0b2\x1d.logical_plan.v1.ScalarStructH\x00R\x0bstructValueB\x0c\n\nvalue_type"G\n\x0bScalarArray\x128\n\x08elements\x18\x01 \x03(\x0b2\x1c.logical_plan.v1.ScalarValueR\x08elements"J\n\x0cScalarStruct\x12:\n\x06fields\x18\x01 \x03(\x0b2".logical_plan.v1.ScalarStructFieldR\x06fields"[\n\x11ScalarStructField\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x122\n\x05value\x18\x02 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueR\x05value"f\n\x17ResolvedClassDefinition\x12\x14\n\x05label\x18\x01 \x01(\tR\x05label\x12%\n\x0bdescription\x18\x02 \x01(\tH\x00R\x0bdescription\x88\x01\x01B\x0e\n\x0c_description"S\n\x12ResolvedModelAlias\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12\x1d\n\x07profile\x18\x02 \x01(\tH\x00R\x07profile\x88\x01\x01B\n\n\x08_profile"\xdd\x01\n\x16ResolvedResponseFormat\x12\x16\n\x06schema\x18\x01 \x01(\tR\x06schema\x12?\n\x0bstruct_type\x18\x02 \x01(\x0b2\x19.logical_plan.v1.DataTypeH\x00R\nstructType\x88\x01\x01\x12=\n\x18prompt_schema_definition\x18\x03 \x01(\tH\x01R\x16promptSchemaDefinition\x88\x01\x01B\x0e\n\x0c_struct_typeB\x1b\n\x19_prompt_schema_definition"L\n\nNumpyArray\x12\x12\n\x04data\x18\x01 \x01(\x0cR\x04data\x12\x14\n\x05shape\x18\x02 \x03(\x05R\x05shape\x12\x14\n\x05dtype\x18\x03 \x01(\tR\x05dtype"*\n\tKeyPoints\x12\x1d\n\nmax_points\x18\x01 \x01(\x05R\tmaxPoints"(\n\tParagraph\x12\x1b\n\tmax_words\x18\x01 \x01(\x05R\x08maxWords"\x9d\x01\n\x13SummarizationFormat\x12;\n\nkey_points\x18\x01 \x01(\x0b2\x1a.logical_plan.v1.KeyPointsH\x00R\tkeyPoints\x12:\n\tparagraph\x18\x02 \x01(\x0b2\x1a.logical_plan.v1.ParagraphH\x00R\tparagraphB\r\n\x0bformat_type"\xba\x01\n\nMapExample\x12<\n\x05input\x18\x01 \x03(\x0b2&.logical_plan.v1.MapExample.InputEntryR\x05input\x12\x16\n\x06output\x18\x02 \x01(\tR\x06output\x1aV\n\nInputEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x122\n\x05value\x18\x02 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueR\x05value:\x028\x01"O\n\x14MapExampleCollection\x127\n\x08examples\x18\x01 \x03(\x0b2\x1b.logical_plan.v1.MapExampleR\x08examples"?\n\x0fClassifyExample\x12\x14\n\x05input\x18\x01 \x01(\tR\x05input\x12\x16\n\x06output\x18\x02 \x01(\tR\x06output"Y\n\x19ClassifyExampleCollection\x12<\n\x08examples\x18\x01 \x03(\x0b2 .logical_plan.v1.ClassifyExampleR\x08examples"\xc6\x01\n\x10PredicateExample\x12B\n\x05input\x18\x01 \x03(\x0b2,.logical_plan.v1.PredicateExample.InputEntryR\x05input\x12\x16\n\x06output\x18\x02 \x01(\x08R\x06output\x1aV\n\nInputEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x122\n\x05value\x18\x02 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueR\x05value:\x028\x01"[\n\x1aPredicateExampleCollection\x12=\n\x08examples\x18\x01 \x03(\x0b2!.logical_plan.v1.PredicateExampleR\x08examples"\x8b\x01\n\x0bJoinExample\x120\n\x04left\x18\x01 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueR\x04left\x122\n\x05right\x18\x02 \x01(\x0b2\x1c.logical_plan.v1.ScalarValueR\x05right\x12\x16\n\x06output\x18\x03 \x01(\x08R\x06output"Q\n\x15JoinExampleCollection\x128\n\x08examples\x18\x01 \x03(\x0b2\x1c.logical_plan.v1.JoinExampleR\x08examplesB\x81\x01\n\x13com.logical_plan.v1B\x11ComplexTypesProtoP\x01\xa2\x02\x03LXX\xaa\x02\x0eLogicalPlan.V1\xca\x02\x0eLogicalPlan\\V1\xe2\x02\x1aLogicalPlan\\V1\\GPBMetadata\xea\x02\x0fLogicalPlan::V1b\x06proto3')
Annotation: _descriptor.FileDescriptor
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
attribute
|
_globals
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2._globals
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| false | true | 30 | 30 | null | null | null | null |
globals()
| null |
Type: attribute
Member Name: _globals
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2._globals
Docstring: none
Value: globals()
Annotation: none
is Public? : false
is Private? : true
Parameters: none
Returns: none
Parent Class: none
|
class
|
ScalarValue
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarValue
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 9 | 25 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ScalarValue
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarValue
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarValue.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 25 | 25 | null |
None
|
[
"self",
"string_value",
"int_value",
"double_value",
"bool_value",
"bytes_value",
"array_value",
"struct_value"
] |
ScalarValue
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarValue.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "string_value", "int_value", "double_value", "bool_value", "bytes_value", "array_value", "struct_value"]
Returns: None
Parent Class: ScalarValue
|
class
|
ScalarArray
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarArray
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 27 | 31 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ScalarArray
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarArray
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarArray.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 31 | 31 | null |
None
|
[
"self",
"elements"
] |
ScalarArray
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarArray.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "elements"]
Returns: None
Parent Class: ScalarArray
|
class
|
ScalarStruct
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStruct
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 33 | 37 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ScalarStruct
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStruct
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStruct.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 37 | 37 | null |
None
|
[
"self",
"fields"
] |
ScalarStruct
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStruct.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "fields"]
Returns: None
Parent Class: ScalarStruct
|
class
|
ScalarStructField
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStructField
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 39 | 45 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ScalarStructField
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStructField
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStructField.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 45 | 45 | null |
None
|
[
"self",
"name",
"value"
] |
ScalarStructField
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ScalarStructField.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "name", "value"]
Returns: None
Parent Class: ScalarStructField
|
class
|
ResolvedClassDefinition
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedClassDefinition
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 47 | 53 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ResolvedClassDefinition
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedClassDefinition
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedClassDefinition.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 53 | 53 | null |
None
|
[
"self",
"label",
"description"
] |
ResolvedClassDefinition
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedClassDefinition.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "label", "description"]
Returns: None
Parent Class: ResolvedClassDefinition
|
class
|
ResolvedModelAlias
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedModelAlias
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 55 | 61 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ResolvedModelAlias
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedModelAlias
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
method
|
__init__
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedModelAlias.__init__
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 61 | 61 | null |
None
|
[
"self",
"name",
"profile"
] |
ResolvedModelAlias
| null | null |
Type: method
Member Name: __init__
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedModelAlias.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "name", "profile"]
Returns: None
Parent Class: ResolvedModelAlias
|
class
|
ResolvedResponseFormat
|
fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedResponseFormat
| null |
site-packages/fenic/_gen/protos/logical_plan/v1/complex_types_pb2.py
| true | false | 63 | 71 | null | null | null | null | null |
[
"_message.Message"
] |
Type: class
Member Name: ResolvedResponseFormat
Qualified Name: fenic._gen.protos.logical_plan.v1.complex_types_pb2.ResolvedResponseFormat
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none
|
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