“Models” have been fully integrated into a “Plugin” ecosystem. For detailed development instructions on model plugins, please refer to Plugin Development. The following content has been archived.
All entities mentioned below are based on
Pydantic BaseModel
and can be found in theentities
module.
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 namedescription
(object) Provider description, i18n
zh_Hans
(string) [optional] Chinese descriptionen_US
(string) English descriptionicon_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 ICONen_US
(string) English ICONicon_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 ICONen_US
(string) English ICONbackground
(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 titleen_US
(string) English titleurl
(object) help link, i18n
zh_Hans
(string) [optional] Chinese linken_US
(string) English linksupported_model_types
(array[ModelType]) Supported model typesconfigurate_methods
(array[ConfigurateMethod]) Configuration methodsprovider_credential_schema
(ProviderCredentialSchema) Provider credential specificationmodel_credential_schema
(ModelCredentialSchema) Model credential specificationmodel
(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 nameen_US
(string) English label namemodel_type
(ModelType) Model typefeatures
(array[ModelFeature]) [optional] Supported feature listmodel_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 rulespricing
(PriceConfig) [optional] Pricing informationdeprecated
(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.llm
Text generation modeltext-embedding
Text Embedding modelrerank
Rerank modelspeech2text
Speech to texttts
Text to speechmoderation
Moderationpredefined-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.
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
predefined-model
Predefined modelfetch-from-remote
Remote modelcompletion
Text completionchat
Dialoguename
(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 nameen_US
(string) English label nametype
(string) [optional] Parameter type
int
Integerfloat
Floatstring
Stringboolean
Booleanhelp
(string) [optional] Help information
zh_Hans
(string) [optional] Chinese help informationen_US
(string) English help informationrequired
(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
input
(float) Input price, i.e., Prompt priceoutput
(float) Output price, i.e., returned content priceunit
(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 unitcredential_form_schemas
(array[CredentialFormSchema]) Credential form standardmodel
(object) Model identifier, variable name defaults to model
label
(object) Model form item display name
en_US
(string) Englishzh_Hans
(string) [optional] Chineseplaceholder
(object) Model prompt content
en_US
(string) Englishzh_Hans
(string) [optional] Chinesecredential_form_schemas
(array[CredentialFormSchema]) Credential form standardvariable
(string) Form item variable namelabel
(object) Form item label name
en_US
(string) Englishzh_Hans
(string) [optional] Chinesetype
(FormType) Form item typerequired
(bool) Whether requireddefault
(string) Default valueoptions
(array[FormOption]) Specific property of form items of type select
or radio
, defining dropdown contentplaceholder
(object) Specific property of form items of type text-input
, placeholder content
en_US
(string) Englishzh_Hans
(string) [optional] Chinesemax_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 componentsecret-input
Password input componentselect
Single-choice dropdownradio
Radio componentswitch
Switch component, only supports true
and false
valueslabel
(object) Label
en_US
(string) Englishzh_Hans
(string) [optional] Chinesevalue
(string) Dropdown option valueshow_on
(array[FormShowOnObject]) Displayed when other form item values meet certain conditions, displayed always if empty.variable
(string) Variable name of other form itemsvalue
(string) Variable value of other form itemsEdit this page | Report an issue