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All entities mentioned below are based on Pydantic BaseModel and can be found in the entities module.
Provider
provider (string) Provider identifier, e.g., openai
label (object) Provider display name, i18n, with en_US English and zh_Hans Chinese language settings
zh_Hans (string) [optional] Chinese label name, if zh_Hans is not set, en_US will be used by default.
en_US (string) English label name
description (object) Provider description, i18n
zh_Hans (string) [optional] Chinese description
en_US (string) English description
icon_small (string) [optional] Small provider ICON, stored in the _assets directory under the corresponding provider implementation directory, with the same language strategy as label
zh_Hans (string) Chinese ICON
en_US (string) English ICON
icon_large (string) [optional] Large provider ICON, stored in the _assets directory under the corresponding provider implementation directory, with the same language strategy as label
zh_Hans (string) Chinese ICON
en_US (string) English ICON
background (string) [optional] Background color value, e.g., #FFFFFF, if empty, the default frontend color value will be displayed.
help (object) [optional] help information
title (object) help title, i18n
zh_Hans (string) [optional] Chinese title
en_US (string) English title
url (object) help link, i18n
zh_Hans (string) [optional] Chinese link
en_US (string) English link
supported_model_types (array[ModelType]) Supported model types
configurate_methods (array[ConfigurateMethod]) Configuration methods
provider_credential_schema (ProviderCredentialSchema) Provider credential specification
model_credential_schema (ModelCredentialSchema) Model credential specification
AIModelEntity
model (string) Model identifier, e.g., gpt-3.5-turbo
label (object) [optional] Model display name, i18n, with en_US English and zh_Hans Chinese language settings
zh_Hans (string) [optional] Chinese label name
en_US (string) English label name
model_type (ModelType) Model type
features (array[ModelFeature]) [optional] Supported feature list
model_properties (object) Model properties
mode (LLMMode) Mode (available for model type llm)
context_size (int) Context size (available for model types llm, text-embedding)
max_chunks (int) Maximum number of chunks (available for model types text-embedding, moderation)
file_upload_limit (int) Maximum file upload limit, in MB (available for model type speech2text)
supported_file_extensions (string) Supported file extension formats, e.g., mp3, mp4 (available for model type speech2text)
default_voice (string) default voice, e.g.:alloy,echo,fable,onyx,nova,shimmer(available for model type tts)
voices (list) List of available voice.(available for model type tts)
mode (string) voice model.(available for model type tts)
name (string) voice model display name.(available for model type tts)
language (string) the voice model supports languages.(available for model type tts)
word_limit (int) Single conversion word limit, paragraphwise by default(available for model type tts)
audio_type (string) Support audio file extension format, e.g.:mp3,wav(available for model type tts)
max_workers (int) Number of concurrent workers supporting text and audio conversion(available for model typetts)
max_characters_per_chunk (int) Maximum characters per chunk (available for model type moderation)
parameter_rules (array[ParameterRule]) [optional] Model invocation parameter rules
pricing (PriceConfig) [optional] Pricing information
deprecated (bool) Whether deprecated. If deprecated, the model will no longer be displayed in the list, but those already configured can continue to be used. Default False.
ModelType
llm Text generation model
text-embedding Text Embedding model
rerank Rerank model
speech2text Speech to text
tts Text to speech
moderation Moderation
ConfigurateMethod
-
predefined-model Predefined model
Indicates that users can use the predefined models under the provider by configuring the unified provider credentials.
-
customizable-model Customizable model
Users need to add credential configuration for each model.
-
fetch-from-remote Fetch from remote
Consistent with the predefined-model configuration method, only unified provider credentials need to be configured, and models are obtained from the provider through credential information.
ModelFeature
agent-thought Agent reasoning, generally over 70B with thought chain capability.
vision Vision, i.e., image understanding.
tool-call
multi-tool-call
stream-tool-call
FetchFrom
predefined-model Predefined model
fetch-from-remote Remote model
LLMMode
completion Text completion
chat Dialogue
ParameterRule
-
name (string) Actual model invocation parameter name
-
use_template (string) [optional] Using template
By default, 5 variable content configuration templates are preset:
temperature
top_p
frequency_penalty
presence_penalty
max_tokens
In use_template, you can directly set the template variable name, which will use the default configuration in entities.defaults.PARAMETER_RULE_TEMPLATE
No need to set any parameters other than name and use_template. If additional configuration parameters are set, they will override the default configuration.
Refer to openai/llm/gpt-3.5-turbo.yaml.
-
label (object) [optional] Label, i18n
zh_Hans(string) [optional] Chinese label name
en_US (string) English label name
-
type(string) [optional] Parameter type
int Integer
float Float
string String
boolean Boolean
-
help (string) [optional] Help information
zh_Hans (string) [optional] Chinese help information
en_US (string) English help information
-
required (bool) Required, default False.
-
default(int/float/string/bool) [optional] Default value
-
min(int/float) [optional] Minimum value, applicable only to numeric types
-
max(int/float) [optional] Maximum value, applicable only to numeric types
-
precision(int) [optional] Precision, number of decimal places to keep, applicable only to numeric types
-
options (array[string]) [optional] Dropdown option values, applicable only when type is string, if not set or null, option values are not restricted
PriceConfig
input (float) Input price, i.e., Prompt price
output (float) Output price, i.e., returned content price
unit (float) Pricing unit, e.g., if the price is meausred in 1M tokens, the corresponding token amount for the unit price is 0.000001.
currency (string) Currency unit
ProviderCredentialSchema
ModelCredentialSchema
model (object) Model identifier, variable name defaults to model
label (object) Model form item display name
en_US (string) English
zh_Hans(string) [optional] Chinese
placeholder (object) Model prompt content
en_US(string) English
zh_Hans(string) [optional] Chinese
credential_form_schemas (array[CredentialFormSchema]) Credential form standard
variable (string) Form item variable name
label (object) Form item label name
en_US(string) English
zh_Hans (string) [optional] Chinese
type (FormType) Form item type
required (bool) Whether required
default(string) Default value
options (array[FormOption]) Specific property of form items of type select or radio, defining dropdown content
placeholder(object) Specific property of form items of type text-input, placeholder content
en_US(string) English
zh_Hans (string) [optional] Chinese
max_length (int) Specific property of form items of type text-input, defining maximum input length, 0 for no limit.
show_on (array[FormShowOnObject]) Displayed when other form item values meet certain conditions, displayed always if empty.
text-input Text input component
secret-input Password input component
select Single-choice dropdown
radio Radio component
switch Switch component, only supports true and false values
label (object) Label
en_US(string) English
zh_Hans(string) [optional] Chinese
value (string) Dropdown option value
show_on (array[FormShowOnObject]) Displayed when other form item values meet certain conditions, displayed always if empty.
variable (string) Variable name of other form items
value (string) Variable value of other form items