Model
Model Designing Rules
- Model provider rules are based on the Provider entity.
- Model rules are based on the AIModelEntity entity.
All entities below are based on Pydantic BaseModel and can be found in the entities module.
Provider
provider
(string): Provider identifier, e.g., openailabel
(object): Provider display name, i18n, supports en_US (English) and zh_Hans (Chinese)zh_Hans
(string) [optional]: Chinese label, defaults to en_US if not seten_US
(string): English label
description
(object) [optional]: Provider description, i18nzh_Hans
(string) [optional]: Chinese descriptionen_US
(string): English description
icon_small
(string) [optional]: Provider small icon, stored in _assets directoryzh_Hans
(string) [optional]: Chinese iconen_US
(string): English icon
icon_large
(string) [optional]: Provider large icon, stored in _assets directoryzh_Hans
(string) [optional]: Chinese iconen_US
(string): English icon
background
(string) [optional]: Background color value, e.g., #FFFFFF, uses frontend default if emptyhelp
(object) [optional]: Help informationtitle
(object): Help title, i18nzh_Hans
(string) [optional]: Chinese titleen_US
(string): English title
url
(object): Help link, i18nzh_Hans
(string) [optional]: Chinese linken_US
(string): English link
supported_model_types
(array[ModelType]): Supported model typesconfigurate_methods
(array[ConfigurateMethod]): Configuration methodsprovider_credential_schema
([ProviderCredentialSchema]): Provider credential specificationsmodel_credential_schema
([ModelCredentialSchema]): Model credential specifications
AIModelEntity
model
(string): Model identifier, e.g., gpt-3.5-turbolabel
(object) [optional]: Model display name, i18nzh_Hans
(string) [optional]: Chinese labelen_US
(string): English label
model_type
([ModelType]): Model typefeatures
(array[[ModelFeature]]) [optional]: List of supported featuresmodel_properties
(object): Model propertiesmode
([LLMMode]): Mode (available for llm model type)context_size
(int): Context size (available for llm and text-embedding types)max_chunks
(int): Maximum number of chunks (available for text-embedding and moderation types)file_upload_limit
(int): Maximum file upload limit in MB (available for speech2text type)supported_file_extensions
(string): Supported file extensions, e.g., mp3,mp4 (available for speech2text type)default_voice
(string): Default voice, must be one of: alloy,echo,fable,onyx,nova,shimmer (available for tts type)voices
(list): Available voice listmode
(string): Voice model (available for tts type)name
(string): Voice model display name (available for tts type)language
(string): Voice model supported languages (available for tts type)word_limit
(int): Single conversion word limit, defaults to paragraph division (available for tts type)audio_type
(string): Supported audio file extensions, e.g., mp3,wav (available for tts type)max_workers
(int): Maximum concurrent tasks for text-to-audio conversion (available for tts type)max_characters_per_chunk
(int): Maximum characters per chunk (available for moderation type)
parameter_rules
(array[ParameterRule]) [optional]: Model call parameter rulespricing
([PriceConfig]) [optional]: Pricing informationdeprecated
(bool): Whether deprecated. If true, model won’t show in list but configured ones can still be used. Default: False
ModelType
llm
: Text generation modeltext-embedding
: Text embedding modelrerank
: Rerank modelspeech2text
: Speech to texttts
: Text to speechmoderation
: Moderation
ConfigurateMethod
predefined-model
: Predefined models Users only need to configure unified provider credentials to use predefined models under the provider.customizable-model
: Custom models Users need to add credential configurations for each model.fetch-from-remote
: Fetch from remote Similar to predefined-model configuration, only requires unified provider credentials, models are fetched from provider using credential information.
ModelFeature
agent-thought
: Agent reasoning, generally models over 70B have chain-of-thought capabilityvision
: Visual capability, i.e., image understandingtool-call
: Tool callingmulti-tool-call
: Multiple tool callingstream-tool-call
: Streaming tool calling
FetchFrom
predefined-model
: Predefined modelsfetch-from-remote
: Remote models
LLMMode
completion
: Text completionchat
: Conversation
ParameterRule
name
(string): Actual parameter name for model callsuse_template
(string) [optional]: Template usage Five preset variable content configuration templates:- temperature
- top_p
- frequency_penalty
- presence_penalty
- max_tokens Can directly set template variable name in use_template, will use default config from entities.defaults.PARAMETER_RULE_TEMPLATE
label
(object) [optional]: Labels, i18nzh_Hans
(string) [optional]: Chinese labelen_US
(string): English label
type
(string) [optional]: Parameter typeint
: Integerfloat
: Floatstring
: Stringboolean
: Boolean
help
(string) [optional]: Help informationzh_Hans
(string) [optional]: Chinese help infoen_US
(string): English help info
required
(bool): Whether required, default Falsedefault
(int/float/string/bool) [optional]: Default valuemin
(int/float) [optional]: Minimum value, only for numeric typesmax
(int/float) [optional]: Maximum value, only for numeric typesprecision
(int) [optional]: Precision, decimal places, only for numeric typesoptions
(array[string]) [optional]: Dropdown options, only for string type
PriceConfig
input
(float): Input price, i.e., Prompt priceoutput
(float): Output price, i.e., Return content priceunit
(float): Price unit, e.g., if priced per 1M tokens, unit token number is 0.000001currency
(string): Currency unit
ProviderCredentialSchema
credential_form_schemas
(array[CredentialFormSchema]): Credential form specifications
ModelCredentialSchema
model
(object): Model identifier, default variable name is ‘model’label
(object): Model form item display nameen_US
(string): Englishzh_Hans
(string) [optional]: Chinese
placeholder
(object): Model prompt contenten_US
(string): Englishzh_Hans
(string) [optional]: Chinese
credential_form_schemas
(array[CredentialFormSchema]): Credential form specifications
CredentialFormSchema
variable
(string): Form item variable namelabel
(object): Form item labelen_US
(string): Englishzh_Hans
(string) [optional]: Chinese
type
([FormType]): Form item typerequired
(bool): Whether requireddefault
(string): Default valueoptions
(array[FormOption]): Form item options for select or radio typesplaceholder
(object): Form item placeholder for text-input typeen_US
(string): Englishzh_Hans
(string) [optional]: Chinese
max_length
(int): Maximum input length for text-input type, 0 means no limitshow_on
(array[FormShowOnObject]): Show when other form items meet conditions, always show if empty
FormType
text-input
: Text input componentsecret-input
: Password input componentselect
: Single-select dropdownradio
: Radio componentswitch
: Switch component, only supports true and false
FormOption
label
(object): Labelen_US
(string): Englishzh_Hans
(string) [optional]: Chinese
value
(string): Dropdown option valueshow_on
(array[FormShowOnObject]): Show when other form items meet conditions, always show if empty
FormShowOnObject
variable
(string): Other form item variable namevalue
(string): Other form item variable value
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