diff --git a/ai-provider/model-runtime/entity/ai-model.go b/ai-provider/model-runtime/entity/ai-model.go new file mode 100644 index 00000000..9da9072c --- /dev/null +++ b/ai-provider/model-runtime/entity/ai-model.go @@ -0,0 +1,21 @@ +package entity + +type AIModel struct { + Model string `json:"model" yaml:"model"` + Label map[string]string `json:"label" yaml:"label"` + ModelType string `json:"model_type" yaml:"model_type"` + Features []string `json:"features" yaml:"features"` + ModelProperties map[string]string `json:"model_properties" yaml:"model_properties"` + ParameterRules []ParameterRule `json:"parameter_rules" yaml:"parameter_rules"` +} + +type ParameterRule struct { + Name string `json:"name" yaml:"name"` + Default interface{} `json:"default" yaml:"default"` + Label map[string]string `json:"label" yaml:"label"` + Type string `json:"type" yaml:"type"` + Min float64 `json:"min" yaml:"min"` + Max float64 `json:"max" yaml:"max"` + Precision int `json:"precision" yaml:"precision"` + Required bool `json:"required" yaml:"required"` +} diff --git a/ai-provider/model-runtime/entity/provider.go b/ai-provider/model-runtime/entity/provider.go new file mode 100644 index 00000000..56bf29d7 --- /dev/null +++ b/ai-provider/model-runtime/entity/provider.go @@ -0,0 +1,42 @@ +package entity + +var ( + ModelTypeLLM = "llm" + ModelTypeTextEmbedding = "text-embedding" + ModelTypeSpeech2Text = "speech2text" + ModelTypeTTS = "tts" + ModelTypeModeration = "moderation" + + LanguageEnglish = "en_US" + LanguageChinese = "zh_Hans" +) + +type Provider struct { + Provider string `json:"provider" yaml:"provider"` + Label map[string]string `json:"label" yaml:"label"` + Description map[string]string `json:"description" yaml:"description"` + IconSmall map[string]string `json:"icon_small" yaml:"icon_small"` + IconLarge map[string]string `json:"icon_large" yaml:"icon_large"` + Background string `json:"background" yaml:"background"` + Help Help `json:"help" yaml:"help"` + SupportedModelTypes []string `json:"supported_model_types" yaml:"supported_model_types"` + ProviderCredentialSchema ProviderCredentialSchema `json:"provider_credential_schema" yaml:"provider_credential_schema"` + Default map[string]string `json:"default"` +} + +type ProviderCredentialSchema struct { + CredentialFormSchemas []CredentialFormSchema `json:"credential_form_schemas" yaml:"credential_form_schemas"` +} + +type CredentialFormSchema struct { + Variable string `json:"variable" yaml:"variable"` + Label map[string]string `json:"label" yaml:"label"` + Type string `json:"type" yaml:"type"` + Required bool `json:"required" yaml:"required"` + Placeholder map[string]string `json:"placeholder" yaml:"placeholder"` +} + +type Help struct { + Title map[string]string `json:"title" yaml:"title"` + URL map[string]string `json:"url" yaml:"url"` +} diff --git a/ai-provider/model-runtime/load_test.go b/ai-provider/model-runtime/load_test.go new file mode 100644 index 00000000..2f661db3 --- /dev/null +++ b/ai-provider/model-runtime/load_test.go @@ -0,0 +1,11 @@ +package model_runtime + +import "testing" + +func TestLoad(t *testing.T) { + Load() + for _, p := range Providers() { + t.Logf("Provider: %s", p.ID()) + t.Log(p.DefaultModel("llm")) + } +} diff --git a/ai-provider/model-runtime/loader.go b/ai-provider/model-runtime/loader.go new file mode 100644 index 00000000..ac0edd54 --- /dev/null +++ b/ai-provider/model-runtime/loader.go @@ -0,0 +1,100 @@ +package model_runtime + +import ( + "embed" + "errors" + "fmt" + "github.com/eolinker/eosc" + "strings" +) + +var ( + ErrInvalidAPIKey = errors.New("invalid api key") +) + +type IConfig interface { + Check(cfg string) error + DefaultConfig() string +} + +const ( + DirAssets = "assets" +) + +var ( + //go:embed model-providers/* + providerDir embed.FS +) + +func Load() error { + files, err := providerDir.ReadDir("model-providers") + if err != nil { + return err + } + for _, file := range files { + if !file.IsDir() { + continue + } + name := fmt.Sprintf("model-providers/%s", file.Name()) + err = LoadProvider(name) + if err != nil { + return err + } + } + return nil +} + +func LoadProvider(name string) error { + files, err := providerDir.ReadDir(name) + if err != nil { + return err + } + var providerFile string + models := make(map[string]eosc.Untyped[string, string]) + for _, file := range files { + if file.IsDir() { + result, err := ReadFile(providerDir, fmt.Sprintf("%s/%s", name, file.Name())) + if err != nil { + return err + } + models[file.Name()] = result + continue + } + if strings.HasSuffix(file.Name(), ".yaml") { + data, err := providerDir.ReadFile(fmt.Sprintf("%s/%s", name, file.Name())) + if err != nil { + return err + } + providerFile = string(data) + } + } + provider, err := NewProvider(providerFile, models) + if err != nil { + return err + } + Register(provider.ID(), provider) + return nil +} + +func ReadFile(dir embed.FS, name string) (eosc.Untyped[string, string], error) { + + files, err := dir.ReadDir(name) + if err != nil { + return nil, err + } + result := eosc.BuildUntyped[string, string]() + for _, file := range files { + if file.IsDir() { + continue + } + if !strings.HasSuffix(file.Name(), ".yaml") { + continue + } + data, err := dir.ReadFile(fmt.Sprintf("%s/%s", name, file.Name())) + if err != nil { + return nil, fmt.Errorf("open file %s error: %w", file.Name(), err) + } + result.Set(file.Name(), string(data)) + } + return result, nil +} diff --git a/ai-provider/model-runtime/manager.go b/ai-provider/model-runtime/manager.go new file mode 100644 index 00000000..382866e4 --- /dev/null +++ b/ai-provider/model-runtime/manager.go @@ -0,0 +1,43 @@ +package model_runtime + +import "github.com/eolinker/eosc" + +var ( + defaultManager = NewManager() +) + +type Manager struct { + providers eosc.Untyped[string, IProvider] +} + +func NewManager() *Manager { + return &Manager{providers: eosc.BuildUntyped[string, IProvider]()} +} + +func (m *Manager) Set(name string, driver IProvider) { + m.providers.Set(name, driver) +} + +func (m *Manager) Get(name string) (IProvider, bool) { + return m.providers.Get(name) +} + +func (m *Manager) Del(name string) { + m.providers.Del(name) +} + +func (m *Manager) List() []IProvider { + return m.providers.List() +} + +func Register(name string, driver IProvider) { + defaultManager.Set(name, driver) +} + +func GetProvider(name string) (IProvider, bool) { + return defaultManager.Get(name) +} + +func Providers() []IProvider { + return defaultManager.List() +} diff --git a/ai-provider/model-runtime/model-providers/authropic/anthropic.yaml b/ai-provider/model-runtime/model-providers/authropic/anthropic.yaml new file mode 100644 index 00000000..cf41f544 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/anthropic.yaml @@ -0,0 +1,39 @@ +provider: anthropic +label: + en_US: Anthropic +description: + en_US: Anthropic’s powerful models, such as Claude 3. + zh_Hans: Anthropic 的强大模型，例如 Claude 3。 +icon_small: + en_US: icon_s_en.svg +icon_large: + en_US: icon_l_en.svg +background: "#F0F0EB" +help: + title: + en_US: Get your API Key from Anthropic + zh_Hans: 从 Anthropic 获取 API Key + url: + en_US: https://console.anthropic.com/account/keys +supported_model_types: + - llm +configurate_methods: + - predefined-model +provider_credential_schema: + credential_form_schemas: + - variable: anthropic_api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key + - variable: anthropic_api_url + label: + en_US: API URL + type: text-input + required: false + placeholder: + zh_Hans: 在此输入您的 API URL + en_US: Enter your API URL diff --git a/ai-provider/model-runtime/model-providers/authropic/assets/icon_l_en.svg b/ai-provider/model-runtime/model-providers/authropic/assets/icon_l_en.svg new file mode 100644 index 00000000..cace17da --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/assets/icon_l_en.svg @@ -0,0 +1,78 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ai-provider/model-runtime/model-providers/authropic/assets/icon_s_en.svg b/ai-provider/model-runtime/model-providers/authropic/assets/icon_s_en.svg new file mode 100644 index 00000000..d852f044 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/assets/icon_s_en.svg @@ -0,0 +1,4 @@ + + + + diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/_position.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/_position.yaml new file mode 100644 index 00000000..8394c427 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/_position.yaml @@ -0,0 +1,8 @@ +- claude-3-5-sonnet-20240620 +- claude-3-haiku-20240307 +- claude-3-opus-20240229 +- claude-3-sonnet-20240229 +- claude-2.1 +- claude-instant-1.2 +- claude-2 +- claude-instant-1 diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.1.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.1.yaml new file mode 100644 index 00000000..6707c345 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.1.yaml @@ -0,0 +1,36 @@ +model: claude-2.1 +label: + en_US: claude-2.1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '8.00' + output: '24.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.yaml new file mode 100644 index 00000000..19869471 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-2.yaml @@ -0,0 +1,37 @@ +model: claude-2 +label: + en_US: claude-2 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 100000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '8.00' + output: '24.00' + unit: '0.000001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20240620.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20240620.yaml new file mode 100644 index 00000000..e02c5517 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20240620.yaml @@ -0,0 +1,39 @@ +model: claude-3-5-sonnet-20240620 +label: + en_US: claude-3-5-sonnet-20240620 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '3.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-haiku-20240307.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-haiku-20240307.yaml new file mode 100644 index 00000000..cb2af130 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-haiku-20240307.yaml @@ -0,0 +1,39 @@ +model: claude-3-haiku-20240307 +label: + en_US: claude-3-haiku-20240307 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '0.25' + output: '1.25' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-opus-20240229.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-opus-20240229.yaml new file mode 100644 index 00000000..101f54c3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-opus-20240229.yaml @@ -0,0 +1,39 @@ +model: claude-3-opus-20240229 +label: + en_US: claude-3-opus-20240229 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '15.00' + output: '75.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-sonnet-20240229.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-sonnet-20240229.yaml new file mode 100644 index 00000000..daf55553 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-sonnet-20240229.yaml @@ -0,0 +1,39 @@ +model: claude-3-sonnet-20240229 +label: + en_US: claude-3-sonnet-20240229 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '3.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.2.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.2.yaml new file mode 100644 index 00000000..ac69bbf4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.2.yaml @@ -0,0 +1,36 @@ +model: claude-instant-1.2 +label: + en_US: claude-instant-1.2 +model_type: llm +features: [ ] +model_properties: + mode: chat + context_size: 100000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '1.63' + output: '5.51' + unit: '0.000001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.yaml new file mode 100644 index 00000000..5e76d5b1 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.yaml @@ -0,0 +1,36 @@ +model: claude-instant-1 +label: + en_US: claude-instant-1 +model_type: llm +features: [ ] +model_properties: + mode: chat + context_size: 100000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '1.63' + output: '5.51' + unit: '0.000001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/google/assets/icon_l_en.svg b/ai-provider/model-runtime/model-providers/google/assets/icon_l_en.svg new file mode 100644 index 00000000..bb23bffc --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/assets/icon_l_en.svg @@ -0,0 +1,15 @@ + + + + + + + + + + + + + + + diff --git a/ai-provider/model-runtime/model-providers/google/assets/icon_s_en.svg b/ai-provider/model-runtime/model-providers/google/assets/icon_s_en.svg new file mode 100644 index 00000000..c5c608cd --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/assets/icon_s_en.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/ai-provider/model-runtime/model-providers/google/google.yaml b/ai-provider/model-runtime/model-providers/google/google.yaml new file mode 100644 index 00000000..69d4e371 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/google.yaml @@ -0,0 +1,31 @@ +provider: google +label: + en_US: Google +description: + en_US: Google's Gemini model. + zh_Hans: 谷歌提供的 Gemini 模型. +icon_small: + en_US: icon_s_en.svg +icon_large: + en_US: icon_l_en.svg +background: "#FCFDFF" +help: + title: + en_US: Get your API Key from Google + zh_Hans: 从 Google 获取 API Key + url: + en_US: https://ai.google.dev/ +supported_model_types: + - llm +configurate_methods: + - predefined-model +provider_credential_schema: + credential_form_schemas: + - variable: google_api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml new file mode 100644 index 00000000..bbc697e9 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-flash-8b-exp-0827 +label: + en_US: Gemini 1.5 Flash 8B 0827 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-exp-0827.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-exp-0827.yaml new file mode 100644 index 00000000..c5695e5d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-exp-0827.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-flash-exp-0827 +label: + en_US: Gemini 1.5 Flash 0827 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-latest.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-latest.yaml new file mode 100644 index 00000000..24b1c5af --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-latest.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-flash-latest +label: + en_US: Gemini 1.5 Flash +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0801.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0801.yaml new file mode 100644 index 00000000..0a918e0d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0801.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-pro-exp-0801 +label: + en_US: Gemini 1.5 Pro 0801 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0827.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0827.yaml new file mode 100644 index 00000000..7452ce46 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-exp-0827.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-pro-exp-0827 +label: + en_US: Gemini 1.5 Pro 0827 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-latest.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-latest.yaml new file mode 100644 index 00000000..b3e1ecf3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-latest.yaml @@ -0,0 +1,39 @@ +model: gemini-1.5-pro-latest +label: + en_US: Gemini 1.5 Pro +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-pro-vision.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-pro-vision.yaml new file mode 100644 index 00000000..075e484e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-pro-vision.yaml @@ -0,0 +1,34 @@ +model: gemini-pro-vision +label: + en_US: Gemini Pro Vision +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 12288 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-pro.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-pro.yaml new file mode 100644 index 00000000..4e9f59e7 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-pro.yaml @@ -0,0 +1,38 @@ +model: gemini-pro +label: + en_US: Gemini Pro +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 30720 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens_to_sample + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 2048 + - name: response_format + use_template: response_format +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/assets/icon_l_en.svg b/ai-provider/model-runtime/model-providers/openAI/assets/icon_l_en.svg new file mode 100644 index 00000000..dae73f58 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/assets/icon_l_en.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/ai-provider/model-runtime/model-providers/openAI/assets/icon_s_en.svg b/ai-provider/model-runtime/model-providers/openAI/assets/icon_s_en.svg new file mode 100644 index 00000000..70686f9b --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/assets/icon_s_en.svg @@ -0,0 +1,4 @@ + + + + diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/chatgpt-4o-latest.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/chatgpt-4o-latest.yaml new file mode 100644 index 00000000..b47449a4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/chatgpt-4o-latest.yaml @@ -0,0 +1,44 @@ +model: chatgpt-4o-latest +label: + zh_Hans: chatgpt-4o-latest + en_US: chatgpt-4o-latest +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '2.50' + output: '10.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0125.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0125.yaml new file mode 100644 index 00000000..ffa725ec --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0125.yaml @@ -0,0 +1,43 @@ +model: gpt-3.5-turbo-0125 +label: + zh_Hans: gpt-3.5-turbo-0125 + en_US: gpt-3.5-turbo-0125 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16385 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.0005' + output: '0.0015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0613.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0613.yaml new file mode 100644 index 00000000..a1ad07d7 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-0613.yaml @@ -0,0 +1,34 @@ +model: gpt-3.5-turbo-0613 +label: + zh_Hans: gpt-3.5-turbo-0613 + en_US: gpt-3.5-turbo-0613 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '0.0015' + output: '0.002' + unit: '0.001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-1106.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-1106.yaml new file mode 100644 index 00000000..21150fc3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-1106.yaml @@ -0,0 +1,43 @@ +model: gpt-3.5-turbo-1106 +label: + zh_Hans: gpt-3.5-turbo-1106 + en_US: gpt-3.5-turbo-1106 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16385 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.001' + output: '0.002' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k-0613.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k-0613.yaml new file mode 100644 index 00000000..4e302792 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k-0613.yaml @@ -0,0 +1,34 @@ +model: gpt-3.5-turbo-16k-0613 +label: + zh_Hans: gpt-3.5-turbo-16k-0613 + en_US: gpt-3.5-turbo-16k-0613 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16385 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16385 + - name: response_format + use_template: response_format +pricing: + input: '0.003' + output: '0.004' + unit: '0.001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k.yaml new file mode 100644 index 00000000..3684c194 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-16k.yaml @@ -0,0 +1,33 @@ +model: gpt-3.5-turbo-16k +label: + zh_Hans: gpt-3.5-turbo-16k + en_US: gpt-3.5-turbo-16k +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16385 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16385 + - name: response_format + use_template: response_format +pricing: + input: '0.003' + output: '0.004' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-instruct.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-instruct.yaml new file mode 100644 index 00000000..ad831539 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo-instruct.yaml @@ -0,0 +1,30 @@ +model: gpt-3.5-turbo-instruct +label: + zh_Hans: gpt-3.5-turbo-instruct + en_US: gpt-3.5-turbo-instruct +model_type: llm +features: [ ] +model_properties: + mode: completion + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + use_template: response_format +pricing: + input: '0.0015' + output: '0.002' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo.yaml new file mode 100644 index 00000000..d3a8ee53 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-3.5-turbo.yaml @@ -0,0 +1,43 @@ +model: gpt-3.5-turbo +label: + zh_Hans: gpt-3.5-turbo + en_US: gpt-3.5-turbo +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16385 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.0005' + output: '0.0015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-0125-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-0125-preview.yaml new file mode 100644 index 00000000..ac4ec584 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-0125-preview.yaml @@ -0,0 +1,56 @@ +model: gpt-4-0125-preview +label: + zh_Hans: gpt-4-0125-preview + en_US: gpt-4-0125-preview +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-1106-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-1106-preview.yaml new file mode 100644 index 00000000..d7752397 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-1106-preview.yaml @@ -0,0 +1,56 @@ +model: gpt-4-1106-preview +label: + zh_Hans: gpt-4-1106-preview + en_US: gpt-4-1106-preview +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-32k.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-32k.yaml new file mode 100644 index 00000000..8358425e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-32k.yaml @@ -0,0 +1,56 @@ +model: gpt-4-32k +label: + zh_Hans: gpt-4-32k + en_US: gpt-4-32k +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 32768 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.06' + output: '0.12' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-2024-04-09.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-2024-04-09.yaml new file mode 100644 index 00000000..02344991 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-2024-04-09.yaml @@ -0,0 +1,57 @@ +model: gpt-4-turbo-2024-04-09 +label: + zh_Hans: gpt-4-turbo-2024-04-09 + en_US: gpt-4-turbo-2024-04-09 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-preview.yaml new file mode 100644 index 00000000..8d29cf0c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo-preview.yaml @@ -0,0 +1,56 @@ +model: gpt-4-turbo-preview +label: + zh_Hans: gpt-4-turbo-preview + en_US: gpt-4-turbo-preview +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo.yaml new file mode 100644 index 00000000..b25ff6a8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-turbo.yaml @@ -0,0 +1,57 @@ +model: gpt-4-turbo +label: + zh_Hans: gpt-4-turbo + en_US: gpt-4-turbo +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-vision-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-vision-preview.yaml new file mode 100644 index 00000000..07037c66 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4-vision-preview.yaml @@ -0,0 +1,54 @@ +model: gpt-4-vision-preview +label: + zh_Hans: gpt-4-vision-preview + en_US: gpt-4-vision-preview +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.01' + output: '0.03' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4.yaml new file mode 100644 index 00000000..f7b5138b --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4.yaml @@ -0,0 +1,56 @@ +model: gpt-4 +label: + zh_Hans: gpt-4 + en_US: gpt-4 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: seed + label: + zh_Hans: 种子 + en_US: Seed + type: int + help: + zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint + 响应参数来监视变化。 + en_US: If specified, model will make a best effort to sample deterministically, + such that repeated requests with the same seed and parameters should return + the same result. Determinism is not guaranteed, and you should refer to the + system_fingerprint response parameter to monitor changes in the backend. + required: false + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.03' + output: '0.06' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-05-13.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-05-13.yaml new file mode 100644 index 00000000..b630d6f6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-05-13.yaml @@ -0,0 +1,44 @@ +model: gpt-4o-2024-05-13 +label: + zh_Hans: gpt-4o-2024-05-13 + en_US: gpt-4o-2024-05-13 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '5.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-08-06.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-08-06.yaml new file mode 100644 index 00000000..73b7f697 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-08-06.yaml @@ -0,0 +1,47 @@ +model: gpt-4o-2024-08-06 +label: + zh_Hans: gpt-4o-2024-08-06 + en_US: gpt-4o-2024-08-06 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object + - json_schema + - name: json_schema + use_template: json_schema +pricing: + input: '2.50' + output: '10.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini-2024-07-18.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini-2024-07-18.yaml new file mode 100644 index 00000000..df38270f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini-2024-07-18.yaml @@ -0,0 +1,47 @@ +model: gpt-4o-mini-2024-07-18 +label: + zh_Hans: gpt-4o-mini-2024-07-18 + en_US: gpt-4o-mini-2024-07-18 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object + - json_schema + - name: json_schema + use_template: json_schema +pricing: + input: '0.15' + output: '0.60' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini.yaml new file mode 100644 index 00000000..5e3c94fb --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-mini.yaml @@ -0,0 +1,47 @@ +model: gpt-4o-mini +label: + zh_Hans: gpt-4o-mini + en_US: gpt-4o-mini +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object + - json_schema + - name: json_schema + use_template: json_schema +pricing: + input: '0.15' + output: '0.60' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o.yaml new file mode 100644 index 00000000..3090a9e0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o.yaml @@ -0,0 +1,44 @@ +model: gpt-4o +label: + zh_Hans: gpt-4o + en_US: gpt-4o +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '5.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini-2024-09-12.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini-2024-09-12.yaml new file mode 100644 index 00000000..0ade7f8d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini-2024-09-12.yaml @@ -0,0 +1,33 @@ +model: o1-mini-2024-09-12 +label: + zh_Hans: o1-mini-2024-09-12 + en_US: o1-mini-2024-09-12 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 65536 + min: 1 + max: 65536 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '3.00' + output: '12.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini.yaml new file mode 100644 index 00000000..60816c5d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1-mini.yaml @@ -0,0 +1,33 @@ +model: o1-mini +label: + zh_Hans: o1-mini + en_US: o1-mini +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 65536 + min: 1 + max: 65536 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '3.00' + output: '12.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview-2024-09-12.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview-2024-09-12.yaml new file mode 100644 index 00000000..c9da96f6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview-2024-09-12.yaml @@ -0,0 +1,33 @@ +model: o1-preview-2024-09-12 +label: + zh_Hans: o1-preview-2024-09-12 + en_US: o1-preview-2024-09-12 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 32768 + min: 1 + max: 32768 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '15.00' + output: '60.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview.yaml new file mode 100644 index 00000000..c83874b7 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1-preview.yaml @@ -0,0 +1,33 @@ +model: o1-preview +label: + zh_Hans: o1-preview + en_US: o1-preview +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 32768 + min: 1 + max: 32768 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '15.00' + output: '60.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/text-davinci-003.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/text-davinci-003.yaml new file mode 100644 index 00000000..76b5d848 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/text-davinci-003.yaml @@ -0,0 +1,29 @@ +model: text-davinci-003 +label: + zh_Hans: text-davinci-003 + en_US: text-davinci-003 +model_type: llm +features: [ ] +model_properties: + mode: completion + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 +pricing: + input: '0.001' + output: '0.002' + unit: '0.001' + currency: USD +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/openAI/openai.yaml b/ai-provider/model-runtime/model-providers/openAI/openai.yaml new file mode 100644 index 00000000..b4dc8fd4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/openai.yaml @@ -0,0 +1,89 @@ +provider: openai +label: + en_US: OpenAI +description: + en_US: Models provided by OpenAI, such as GPT-3.5-Turbo and GPT-4. + zh_Hans: OpenAI 提供的模型，例如 GPT-3.5-Turbo 和 GPT-4。 +icon_small: + en_US: icon_s_en.svg +icon_large: + en_US: icon_l_en.svg +background: "#E5E7EB" +help: + title: + en_US: Get your API Key from OpenAI + zh_Hans: 从 OpenAI 获取 API Key + url: + en_US: https://platform.openai.com/account/api-keys +supported_model_types: + - llm + - text-embedding + - speech2text + - moderation + - tts +configurate_methods: + - predefined-model + - customizable-model +model_credential_schema: + model: + label: + en_US: Model Name + zh_Hans: 模型名称 + placeholder: + en_US: Enter your model name + zh_Hans: 输入模型名称 + credential_form_schemas: + - variable: openai_api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key + - variable: openai_organization + label: + zh_Hans: 组织 ID + en_US: Organization + type: text-input + required: false + placeholder: + zh_Hans: 在此输入您的组织 ID + en_US: Enter your Organization ID + - variable: openai_api_base + label: + zh_Hans: API Base + en_US: API Base + type: text-input + required: false + placeholder: + zh_Hans: 在此输入您的 API Base + en_US: Enter your API Base +provider_credential_schema: + credential_form_schemas: + - variable: openai_api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key + - variable: openai_organization + label: + zh_Hans: 组织 ID + en_US: Organization + type: text-input + required: false + placeholder: + zh_Hans: 在此输入您的组织 ID + en_US: Enter your Organization ID + - variable: openai_api_base + label: + zh_Hans: API Base + en_US: API Base + type: text-input + required: false + placeholder: + zh_Hans: 在此输入您的 API Base, 如：https://api.openai.com + en_US: Enter your API Base, e.g. https://api.openai.com diff --git a/ai-provider/model-runtime/model.go b/ai-provider/model-runtime/model.go new file mode 100644 index 00000000..5e5503cb --- /dev/null +++ b/ai-provider/model-runtime/model.go @@ -0,0 +1,120 @@ +package model_runtime + +import ( + "encoding/json" + "github.com/APIParkLab/APIPark/ai-provider/model-runtime/entity" + "gopkg.in/yaml.v3" + "strconv" +) + +type IModel interface { + ID() string + Logo() string + IConfig +} + +type Model struct { + id string + logo string + defaultConfig string + validator IParamValidator +} + +func (m *Model) ID() string { + return m.id +} + +func (m *Model) Logo() string { + return m.logo +} + +func (m *Model) Check(cfg string) error { + data := make(map[string]interface{}) + err := json.Unmarshal([]byte(cfg), &data) + if err != nil { + return err + } + return m.validator.Valid(data) +} + +func (m *Model) DefaultConfig() string { + return m.defaultConfig +} + +func NewModel(data string, logo string) (IModel, error) { + var cfg entity.AIModel + err := yaml.Unmarshal([]byte(data), &cfg) + if err != nil { + return nil, err + } + params := make(ParamValidator, 0, len(cfg.ParameterRules)) + defaultConfig := make(map[string]interface{}) + for _, p := range cfg.ParameterRules { + t := p.Type + if t == "" { + t = ParameterTypeStr + } + switch t { + case ParameterTypeInt: + switch t := p.Default.(type) { + case int: + defaultConfig[p.Name] = t + case float64: + defaultConfig[p.Name] = int(t) + default: + defaultConfig[p.Name] = 0 + } + case ParameterTypeStr: + switch t := p.Default.(type) { + case int: + defaultConfig[p.Name] = t + case float64: + defaultConfig[p.Name] = int(t) + case string: + defaultConfig[p.Name] = t + case bool: + defaultConfig[p.Name] = strconv.FormatBool(t) + default: + defaultConfig[p.Name] = "" + } + case ParameterTypeFloat: + switch t := p.Default.(type) { + case int: + defaultConfig[p.Name] = float64(t) + case float64: + defaultConfig[p.Name] = t + default: + defaultConfig[p.Name] = float64(0) + } + case ParameterTypeBool: + switch t := p.Default.(type) { + case bool: + defaultConfig[p.Name] = t + case string: + defaultConfig[p.Name] = t == "true" + default: + defaultConfig[p.Name] = false + } + default: + continue + } + params = append(params, Param{ + Name: p.Name, + Default: p.Default, + Type: t, + Min: p.Min, + Max: p.Max, + Required: p.Required, + }) + } + dCfg, err := json.Marshal(defaultConfig) + if err != nil { + return nil, err + } + return &Model{ + id: cfg.Model, + logo: logo, + defaultConfig: string(dCfg), + validator: params, + }, nil +} diff --git a/ai-provider/model-runtime/param.go b/ai-provider/model-runtime/param.go new file mode 100644 index 00000000..22e504e5 --- /dev/null +++ b/ai-provider/model-runtime/param.go @@ -0,0 +1,67 @@ +package model_runtime + +import "fmt" + +const ( + ParameterTypeInt = "int" + ParameterTypeStr = "string" + ParameterTypeFloat = "float" + ParameterTypeBool = "bool" +) + +type IParamValidator interface { + Valid(map[string]interface{}) error +} + +type ParamValidator []Param + +type Param struct { + Name string `json:"name" yaml:"name"` + Default interface{} `json:"default" yaml:"default"` + Type string `json:"type" yaml:"type"` + Min float64 `json:"min" yaml:"min"` + Max float64 `json:"max" yaml:"max"` + Required bool `json:"required" yaml:"required"` +} + +func (p ParamValidator) Valid(params map[string]interface{}) error { + for _, rule := range p { + v, ok := params[rule.Name] + if !ok { + if rule.Required { + return fmt.Errorf("missing required parameter %s", rule.Name) + } + continue + } + + switch rule.Type { + case ParameterTypeInt: + r, ok := v.(int) + if !ok { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + if r < int(rule.Min) || r > int(rule.Max) { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + case ParameterTypeFloat: + r, ok := v.(float64) + if !ok { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + if r < rule.Min || r > rule.Max { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + case ParameterTypeStr: + _, ok = v.(string) + if !ok { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + case ParameterTypeBool: + _, ok = v.(bool) + if !ok { + return fmt.Errorf("invalid parameter %s: %v", rule.Name, v) + } + } + } + return nil +} diff --git a/ai-provider/model-runtime/provider.go b/ai-provider/model-runtime/provider.go new file mode 100644 index 00000000..89a7f273 --- /dev/null +++ b/ai-provider/model-runtime/provider.go @@ -0,0 +1,205 @@ +package model_runtime + +import ( + "encoding/json" + "fmt" + "github.com/APIParkLab/APIPark/ai-provider/model-runtime/entity" + "github.com/eolinker/eosc" + "gopkg.in/yaml.v3" + "strings" +) + +const ( + ModelTypeLLM = "llm" +) + +type IProvider interface { + IProviderInfo + GetModel(name string) (IModel, bool) + Models() []IModel + ModelsByType(modelType string) ([]IModel, bool) + IConfig + MaskConfig(cfg string) string +} + +type IProviderInfo interface { + ID() string + Name() string + DefaultModel(modelType string) (IModel, bool) + HelpUrl() string + Logo() string +} + +func NewProvider(providerData string, modelContents map[string]eosc.Untyped[string, string]) (IProvider, error) { + var providerCfg entity.Provider + err := yaml.Unmarshal([]byte(providerData), &providerCfg) + if err != nil { + return nil, err + } + + assetsFiles, ok := modelContents[DirAssets] + if !ok { + return nil, fmt.Errorf("assets not found") + } + delete(modelContents, DirAssets) + providerLogo, _ := assetsFiles.Get(providerCfg.IconLarge[entity.LanguageEnglish]) + modelLogo, _ := assetsFiles.Get(providerCfg.IconSmall[entity.LanguageEnglish]) + provider := &Provider{ + id: providerCfg.Provider, + name: providerCfg.Label[entity.LanguageEnglish], + logo: providerLogo, + helpUrl: providerCfg.Help.URL[entity.LanguageEnglish], + models: eosc.BuildUntyped[string, IModel](), + defaultModels: eosc.BuildUntyped[string, IModel](), + modelsByType: eosc.BuildUntyped[string, []IModel](), + maskKeys: make([]string, 0), + } + defaultCfg := make(map[string]string) + params := make(ParamValidator, 0, len(providerCfg.ProviderCredentialSchema.CredentialFormSchemas)) + for _, v := range providerCfg.ProviderCredentialSchema.CredentialFormSchemas { + params = append(params, Param{ + Name: v.Variable, + Default: v.Label[entity.LanguageEnglish], + Type: ParameterTypeStr, + Required: v.Required, + }) + if v.Type == "secret-input" { + provider.maskKeys = append(provider.maskKeys, v.Variable) + } + defaultCfg[v.Variable] = v.Label[entity.LanguageEnglish] + } + defaultCfgByte, _ := json.Marshal(defaultCfg) + provider.defaultConfig = string(defaultCfgByte) + provider.paramValidator = params + for name, f := range modelContents { + models := make([]IModel, 0, f.Count()) + defaultModel := providerCfg.Default[name] + for i, v := range f.List() { + model, err := NewModel(v, modelLogo) + if err != nil { + return nil, err + } + provider.SetModel(model.ID(), model) + if i == 0 && defaultModel == "" { + defaultModel = model.ID() + } + if model.ID() == defaultModel { + provider.SetDefaultModel(name, model) + } + } + provider.SetModelsByType(name, models) + } + return provider, nil +} + +type Provider struct { + id string + name string + logo string + helpUrl string + defaultConfig string + paramValidator IParamValidator + models eosc.Untyped[string, IModel] + defaultModels eosc.Untyped[string, IModel] + modelsByType eosc.Untyped[string, []IModel] + maskKeys []string +} + +func (p *Provider) ID() string { + return p.id +} + +func (p *Provider) Name() string { + return p.name +} + +func (p *Provider) HelpUrl() string { + return p.helpUrl +} + +func (p *Provider) Logo() string { + return p.logo +} + +func (p *Provider) DefaultModel(modelType string) (IModel, bool) { + return p.defaultModels.Get(modelType) +} + +func (p *Provider) GetModel(name string) (IModel, bool) { + return p.models.Get(name) +} + +func (p *Provider) Models() []IModel { + return p.models.List() +} + +func (p *Provider) ModelsByType(modelType string) ([]IModel, bool) { + return p.modelsByType.Get(modelType) +} + +func (p *Provider) Check(cfg string) error { + data := make(map[string]interface{}) + err := json.Unmarshal([]byte(cfg), &data) + if err != nil { + return err + } + return p.paramValidator.Valid(data) +} + +func (p *Provider) DefaultConfig() string { + return p.defaultConfig +} + +func (p *Provider) MaskConfig(cfg string) string { + var data map[string]string + err := json.Unmarshal([]byte(cfg), &data) + if err != nil { + return cfg + } + for _, key := range p.maskKeys { + if v, ok := data[key]; ok { + data[key] = PartialMasking(v, 0, -1) + } + } + result, _ := json.Marshal(data) + return string(result) +} + +func (p *Provider) SetDefaultModel(modelType string, model IModel) { + p.defaultModels.Set(modelType, model) +} + +func (p *Provider) SetModel(id string, model IModel) { + p.models.Set(id, model) +} + +func (p *Provider) SetModelsByType(modelType string, models []IModel) { + p.modelsByType.Set(modelType, models) +} + +func PartialMasking(origin string, begin int, length int) string { + target := strings.Builder{} + runes := []rune(origin) + size := len(runes) + if begin > size { + return origin + } else if length == -1 || begin+length > size { + for i := 0; i < begin; i++ { + target.WriteRune(runes[i]) + } + for i := begin; i < size; i++ { + target.WriteRune('*') + } + } else { + for i := 0; i < begin; i++ { + target.WriteRune(runes[i]) + } + for i := begin; i < begin+length; i++ { + target.WriteRune('*') + } + for i := begin + length; i < size; i++ { + target.WriteRune(runes[i]) + } + } + return target.String() +} diff --git a/module/ai-api/iml.go b/module/ai-api/iml.go index d2927d58..cfeb389c 100644 --- a/module/ai-api/iml.go +++ b/module/ai-api/iml.go @@ -5,8 +5,8 @@ import ( "encoding/json" "errors" "fmt" + model_runtime "github.com/APIParkLab/APIPark/ai-provider/model-runtime" ai_api_dto "github.com/APIParkLab/APIPark/module/ai-api/dto" - "github.com/APIParkLab/APIPark/module/ai/provider" ai_api "github.com/APIParkLab/APIPark/service/ai-api" api_doc "github.com/APIParkLab/APIPark/service/api-doc" "github.com/APIParkLab/APIPark/service/service" @@ -203,7 +203,7 @@ func (i *imlAPIModule) List(ctx context.Context, keyword string, serviceId strin if err != nil { return nil, err } - p, has := provider.GetProvider(info.AdditionalConfig["provider"]) + p, has := model_runtime.GetProvider(info.AdditionalConfig["provider"]) if !has { return nil, fmt.Errorf("provider not found") } @@ -211,9 +211,9 @@ func (i *imlAPIModule) List(ctx context.Context, keyword string, serviceId strin modelItem := ai_api_dto.ModelItem{ Id: t.Model, } - model, has := p.LLM(t.Model) + model, has := p.DefaultModel(t.Model) if has { - modelItem.Logo = model.Logo + modelItem.Logo = model.Logo() } return &ai_api_dto.APIItem{ Id: t.ID, diff --git a/module/ai/iml.go b/module/ai/iml.go index 15665ee6..0dd683bb 100644 --- a/module/ai/iml.go +++ b/module/ai/iml.go @@ -4,12 +4,11 @@ import ( "context" "errors" "fmt" + model_runtime "github.com/APIParkLab/APIPark/ai-provider/model-runtime" ai_dto "github.com/APIParkLab/APIPark/module/ai/dto" - "github.com/APIParkLab/APIPark/module/ai/provider" "github.com/APIParkLab/APIPark/service/ai" "github.com/eolinker/go-common/utils" "gorm.io/gorm" - "sort" ) var _ IProviderModule = (*imlProviderModule)(nil) @@ -23,25 +22,20 @@ func (i *imlProviderModule) SimpleProviders(ctx context.Context) ([]*ai_dto.Simp if err != nil { return nil, err } - providers := provider.Providers() - sort.SliceIsSorted(providers, func(i, j int) bool { - return providers[i].Index() < providers[j].Index() - }) + providers := model_runtime.Providers() + providerMap := utils.SliceToMap(list, func(e *ai.Provider) string { return e.Id }) items := make([]*ai_dto.SimpleProviderItem, 0, len(providers)) for _, v := range providers { item := &ai_dto.SimpleProviderItem{ - Id: v.Info().Id, - Name: v.Info().Name, - Logo: v.Info().Logo, + Id: v.ID(), + Name: v.Name(), + Logo: v.Logo(), } - if info, has := providerMap[v.Info().Id]; has { - err = v.GlobalConfig().CheckConfig(info.Config) - if err == nil { - item.Configured = true - } + if _, has := providerMap[v.ID()]; has { + item.Configured = true } items = append(items, item) } @@ -53,32 +47,25 @@ func (i *imlProviderModule) Providers(ctx context.Context) ([]*ai_dto.ProviderIt if err != nil { return nil, err } - providers := provider.Providers() - sort.SliceIsSorted(providers, func(i, j int) bool { - return providers[i].Index() < providers[j].Index() - }) + providers := model_runtime.Providers() providerMap := utils.SliceToMap(list, func(e *ai.Provider) string { return e.Id }) items := make([]*ai_dto.ProviderItem, 0, len(providers)) for _, v := range providers { - item := &ai_dto.ProviderItem{ - Id: v.Info().Id, - Name: v.Info().Name, - Logo: v.Info().Logo, - DefaultLLM: v.Info().DefaultLLM, + defaultLLM, has := v.DefaultModel(model_runtime.ModelTypeLLM) + if !has { + continue } - if info, has := providerMap[v.Info().Id]; has { - llm, has := v.LLM(info.DefaultLLM) - if !has { - continue - } - err = v.GlobalConfig().CheckConfig(info.Config) - if err == nil { - item.Configured = true - } - item.DefaultLLM = info.DefaultLLM - item.DefaultLLMLogo = llm.Logo + item := &ai_dto.ProviderItem{ + Id: v.ID(), + Name: v.Name(), + Logo: v.Logo(), + DefaultLLM: defaultLLM.ID(), + DefaultLLMLogo: defaultLLM.Logo(), + } + if _, has = providerMap[v.ID()]; has { + item.Configured = true } items = append(items, item) } @@ -86,7 +73,7 @@ func (i *imlProviderModule) Providers(ctx context.Context) ([]*ai_dto.ProviderIt } func (i *imlProviderModule) Provider(ctx context.Context, id string) (*ai_dto.Provider, error) { - p, has := provider.GetProvider(id) + p, has := model_runtime.GetProvider(id) if !has { return nil, fmt.Errorf("ai provider not found") } @@ -96,36 +83,41 @@ func (i *imlProviderModule) Provider(ctx context.Context, id string) (*ai_dto.Pr return nil, err } return &ai_dto.Provider{ - Id: p.Info().Id, - Name: p.Info().Name, - Config: p.GlobalConfig().DefaultConfig(), - GetAPIKeyUrl: p.Info().GetAPIKeyUrl, + Id: p.ID(), + Name: p.Name(), + Config: p.DefaultConfig(), + GetAPIKeyUrl: p.HelpUrl(), }, nil } return &ai_dto.Provider{ Id: info.Id, Name: info.Name, - Config: p.GlobalConfig().MaskConfig(info.Config), - GetAPIKeyUrl: p.Info().GetAPIKeyUrl, + Config: p.MaskConfig(info.Config), + GetAPIKeyUrl: p.HelpUrl(), }, nil } func (i *imlProviderModule) LLMs(ctx context.Context, driver string) ([]*ai_dto.LLMItem, *ai_dto.ProviderItem, error) { - p, has := provider.GetProvider(driver) + p, has := model_runtime.GetProvider(driver) if !has { return nil, nil, fmt.Errorf("ai provider not found") } - llms := p.LLMs() + llms, has := p.ModelsByType(model_runtime.ModelTypeLLM) + if !has { + return nil, nil, fmt.Errorf("ai provider not found") + } items := make([]*ai_dto.LLMItem, 0, len(llms)) for _, v := range llms { items = append(items, &ai_dto.LLMItem{ - Id: v.Id, - Logo: v.Logo, - Config: p.InvokeConfig().DefaultConfig(), - Scopes: v.Scopes, + Id: v.ID(), + Logo: v.Logo(), + Config: p.DefaultConfig(), + Scopes: []string{ + "chat", + }, }) } info, err := i.providerService.Get(ctx, driver) @@ -133,17 +125,20 @@ func (i *imlProviderModule) LLMs(ctx context.Context, driver string) ([]*ai_dto. if !errors.Is(err, gorm.ErrRecordNotFound) { return nil, nil, err } - + defaultLLM, has := p.DefaultModel(model_runtime.ModelTypeLLM) + if !has { + return nil, nil, fmt.Errorf("ai provider default llm not found") + } return items, &ai_dto.ProviderItem{ - Id: p.Info().Id, - Name: p.Info().Name, - DefaultLLM: p.Info().DefaultLLM, - Logo: p.Info().Logo, + Id: p.ID(), + Name: p.Name(), + DefaultLLM: defaultLLM.ID(), + Logo: p.Logo(), Configured: false, }, err } - return items, &ai_dto.ProviderItem{Id: info.Id, Name: info.Name, DefaultLLM: info.DefaultLLM, Logo: p.Info().Logo, Configured: true}, nil + return items, &ai_dto.ProviderItem{Id: info.Id, Name: info.Name, DefaultLLM: info.DefaultLLM, Logo: p.Logo(), Configured: true}, nil } func (i *imlProviderModule) UpdateProviderStatus(ctx context.Context, id string, enable bool) error { @@ -152,14 +147,20 @@ func (i *imlProviderModule) UpdateProviderStatus(ctx context.Context, id string, if !errors.Is(err, gorm.ErrRecordNotFound) { return err } - p, has := provider.GetProvider(id) + p, has := model_runtime.GetProvider(id) if !has { return fmt.Errorf("ai provider not found") } - cfg := p.GlobalConfig().DefaultConfig() + cfg := p.DefaultConfig() + name := p.Name() + defaultLLm, ok := p.DefaultModel(model_runtime.ModelTypeLLM) + if !ok { + return fmt.Errorf("ai provider default llm not found") + } + defaultLLmId := defaultLLm.ID() return i.providerService.Save(ctx, id, &ai.SetProvider{ - Name: &p.Info().Name, - DefaultLLM: &p.Info().DefaultLLM, + Name: &name, + DefaultLLM: &defaultLLmId, Config: &cfg, Status: &enable, }) @@ -176,13 +177,19 @@ func (i *imlProviderModule) UpdateProviderConfig(ctx context.Context, id string, if !errors.Is(err, gorm.ErrRecordNotFound) { return err } - p, has := provider.GetProvider(id) + p, has := model_runtime.GetProvider(id) if !has { return fmt.Errorf("ai provider not found") } + name := p.Name() + defaultLLm, ok := p.DefaultModel(model_runtime.ModelTypeLLM) + if !ok { + return fmt.Errorf("ai provider default llm not found") + } + defaultLLmId := defaultLLm.ID() return i.providerService.Save(ctx, id, &ai.SetProvider{ - Name: &p.Info().Name, - DefaultLLM: &p.Info().DefaultLLM, + Name: &name, + DefaultLLM: &defaultLLmId, Config: &input.Config, }) } @@ -197,13 +204,14 @@ func (i *imlProviderModule) UpdateProviderDefaultLLM(ctx context.Context, id str if !errors.Is(err, gorm.ErrRecordNotFound) { return err } - p, has := provider.GetProvider(id) + p, has := model_runtime.GetProvider(id) if !has { return fmt.Errorf("ai provider not found") } - cfg := p.GlobalConfig().DefaultConfig() + name := p.Name() + cfg := p.DefaultConfig() return i.providerService.Save(ctx, id, &ai.SetProvider{ - Name: &p.Info().Name, + Name: &name, DefaultLLM: &input.LLM, Config: &cfg, }) diff --git a/module/ai/module.go b/module/ai/module.go index 6f598248..c81db942 100644 --- a/module/ai/module.go +++ b/module/ai/module.go @@ -3,7 +3,6 @@ package ai import ( "context" ai_dto "github.com/APIParkLab/APIPark/module/ai/dto" - "github.com/APIParkLab/APIPark/module/ai/provider/openAI" "github.com/eolinker/go-common/autowire" "reflect" ) @@ -19,7 +18,6 @@ type IProviderModule interface { } func init() { - openAI.Register() autowire.Auto[IProviderModule](func() reflect.Value { return reflect.ValueOf(&imlProviderModule{}) }) diff --git a/module/ai/provider/error.go b/module/ai/provider/error.go deleted file mode 100644 index 5d582d0d..00000000 --- a/module/ai/provider/error.go +++ /dev/null @@ -1,7 +0,0 @@ -package provider - -import "errors" - -var ( - ErrInvalidAPIKey = errors.New("invalid api key") -) diff --git a/module/ai/provider/manager.go b/module/ai/provider/manager.go deleted file mode 100644 index e1a5f7ff..00000000 --- a/module/ai/provider/manager.go +++ /dev/null @@ -1,43 +0,0 @@ -package provider - -import "github.com/eolinker/eosc" - -var ( - defaultManager = NewManager() -) - -type Manager struct { - providers eosc.Untyped[string, IAIProvider] -} - -func NewManager() *Manager { - return &Manager{providers: eosc.BuildUntyped[string, IAIProvider]()} -} - -func (m *Manager) Set(name string, driver IAIProvider) { - m.providers.Set(name, driver) -} - -func (m *Manager) Get(name string) (IAIProvider, bool) { - return m.providers.Get(name) -} - -func (m *Manager) Del(name string) { - m.providers.Del(name) -} - -func (m *Manager) List() []IAIProvider { - return m.providers.List() -} - -func Register(name string, driver IAIProvider) { - defaultManager.Set(name, driver) -} - -func GetProvider(name string) (IAIProvider, bool) { - return defaultManager.Get(name) -} - -func Providers() []IAIProvider { - return defaultManager.List() -} diff --git a/module/ai/provider/openAI/config.go b/module/ai/provider/openAI/config.go deleted file mode 100644 index 8380561e..00000000 --- a/module/ai/provider/openAI/config.go +++ /dev/null @@ -1,132 +0,0 @@ -package openAI - -import ( - "encoding/json" - "fmt" - "github.com/APIParkLab/APIPark/module/ai/provider" - openai "github.com/sashabaranov/go-openai" - "net/url" -) - -type GlobalConfig struct { - APIKey string `json:"api_key"` - BaseUrl string `json:"base_url"` -} - -type GlobalConfigDriver struct { -} - -func NewGlobalConfigDriver() provider.IAIConfig { - return &GlobalConfigDriver{} -} - -func (g *GlobalConfigDriver) CheckConfig(cfg string) error { - var c GlobalConfig - err := json.Unmarshal([]byte(cfg), &c) - if err != nil { - return err - } - if c.APIKey == "" { - return provider.ErrInvalidAPIKey - } - if c.APIKey == defaultAPIKey { - return fmt.Errorf("unconfigued api key") - } - if c.BaseUrl != "" { - u, err := url.Parse(c.BaseUrl) - if err != nil || u.Scheme == "" || u.Host == "" { - return fmt.Errorf("invalid base url: %s", c.BaseUrl) - } - } - return nil -} - -var defaultAPIKey = "Your Open AI API Key" - -func (g *GlobalConfigDriver) DefaultConfig() string { - return fmt.Sprintf(`{ - "api_key":"%s", - "base_url":"" -}`, defaultAPIKey) -} - -func (g *GlobalConfigDriver) MaskConfig(cfg string) string { - c := new(GlobalConfig) - err := json.Unmarshal([]byte(cfg), c) - if err != nil { - return cfg - } - if c.APIKey != defaultAPIKey { - c.APIKey = provider.PartialMasking(c.APIKey, 5, 15) - } - result, _ := json.Marshal(c) - return string(result) -} - -type InvokeConfig struct { - Temperature *float32 `json:"temperature"` - TopP *float32 `json:"top_p"` - PresencePenalty *float32 `json:"presence_penalty"` - FrequencyPenalty *float32 `json:"frequency_penalty"` - MaxTokens *int `json:"max_tokens"` - ResponseFormat *openai.ChatCompletionResponseFormat `json:"response_format"` -} - -type InvokeConfigDriver struct { -} - -func NewInvokeConfigDriver() provider.IAIConfig { - return &InvokeConfigDriver{} -} - -var validResponseFormat = map[openai.ChatCompletionResponseFormatType]struct{}{ - openai.ChatCompletionResponseFormatTypeText: {}, - openai.ChatCompletionResponseFormatTypeJSONObject: {}, -} - -func (i *InvokeConfigDriver) CheckConfig(cfg string) error { - var c InvokeConfig - err := json.Unmarshal([]byte(cfg), &c) - if err != nil { - return err - } - if c.Temperature != nil && (*c.Temperature < 0 || *c.Temperature > 2) { - return fmt.Errorf("invalid temperature: %f", c.Temperature) - } - if c.TopP != nil && (*c.TopP < 0 || *c.TopP > 1) { - return fmt.Errorf("invalid top_p: %f", c.TopP) - } - if c.PresencePenalty != nil && (*c.PresencePenalty < 0 || *c.PresencePenalty > 1) { - return fmt.Errorf("invalid presence_penalty: %f", c.PresencePenalty) - } - if c.FrequencyPenalty != nil && (*c.FrequencyPenalty < 0 || *c.FrequencyPenalty > 1) { - return fmt.Errorf("invalid frequency_penalty: %f", c.FrequencyPenalty) - } - if c.MaxTokens != nil && (*c.MaxTokens < 0) { - return fmt.Errorf("invalid max_tokens: %d", c.MaxTokens) - } - if c.ResponseFormat != nil { - if _, ok := validResponseFormat[c.ResponseFormat.Type]; !ok { - return fmt.Errorf("invalid response_format: %v", c.ResponseFormat) - } - } - - return nil -} - -func (i *InvokeConfigDriver) DefaultConfig() string { - return `{ - "temperature": 0, - "top_p": 1, - "presence_penalty": 0, - "frequency_penalty": 0, - "max_tokens": 512, - "response_format": { - "type": "json_object" - } -}` -} - -func (i *InvokeConfigDriver) MaskConfig(cfg string) string { - return cfg -} diff --git a/module/ai/provider/openAI/model.go b/module/ai/provider/openAI/model.go deleted file mode 100644 index 216982fb..00000000 --- a/module/ai/provider/openAI/model.go +++ /dev/null @@ -1,114 +0,0 @@ -package openAI - -import ( - _ "embed" - "encoding/json" - "github.com/APIParkLab/APIPark/module/ai/provider" - "github.com/eolinker/eosc" - "sync" -) - -func Register() { - provider.Register("openai", NewModel()) -} - -var ( - //go:embed model.json - modelJson []byte -) - -type ModelData struct { - Id string `json:"id"` - OwnedBy string `json:"owned_by"` - Logo string `json:"logo"` - Scopes []string `json:"scopes"` - Features []string `json:"features"` -} - -type Model struct { - globalConfig provider.IAIConfig - invokeConfig provider.IAIConfig - models eosc.Untyped[string, *ModelData] - locker sync.RWMutex -} - -func NewModel() provider.IAIProvider { - modelData := make([]*ModelData, 0) - json.Unmarshal(modelJson, &modelData) - m := &Model{ - globalConfig: NewGlobalConfigDriver(), - invokeConfig: NewInvokeConfigDriver(), - models: eosc.BuildUntyped[string, *ModelData](), - locker: sync.RWMutex{}, - } - for _, v := range modelData { - m.models.Set(v.Id, v) - } - return m -} - -func (m *Model) Index() int { - return 1 -} - -func (m *Model) Info() *provider.Info { - return &provider.Info{ - Id: "openai", - Name: "OpenAI", - Logo: ` - - - - - - - - - - -`, - GetAPIKeyUrl: "https://platform.openai.com/account/api-keys", - DefaultLLM: "gpt-3.5-turbo", - } -} - -func (m *Model) GlobalConfig() provider.IAIConfig { - return m.globalConfig -} - -func (m *Model) InvokeConfig() provider.IAIConfig { - return m.invokeConfig -} - -func (m *Model) UpdateLLMs() error { - m.locker.Lock() - defer m.locker.Unlock() - // TODO: 后续需要实现自动更新llm逻辑 - return nil -} - -func (m *Model) LLMs() []*provider.LLM { - models := m.models - result := make([]*provider.LLM, 0, models.Count()) - for _, model := range models.List() { - llm := &provider.LLM{ - Id: model.Id, - Logo: model.Logo, - Scopes: model.Scopes, - } - result = append(result, llm) - } - return result -} - -func (m *Model) LLM(id string) (*provider.LLM, bool) { - model, has := m.models.Get(id) - if !has { - return nil, false - } - return &provider.LLM{ - Id: model.Id, - Logo: model.Logo, - Scopes: model.Scopes, - }, true -} diff --git a/module/ai/provider/openAI/model.json b/module/ai/provider/openAI/model.json deleted file mode 100644 index c8533578..00000000 --- a/module/ai/provider/openAI/model.json +++ /dev/null @@ -1,218 +0,0 @@ -[ - { - "id": "gpt-3.5-turbo", - "owned_by": "openai", - "logo": "\u003csvg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http://www.w3.org/2000/svg\"\u003e\n \u003crect 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6.26047C8.20903 6.75739 8.04224 7.33169 8.04224 7.91974V11.7541C8.04339 11.7587 8.04454 11.7627 8.04568 11.7661C8.04683 11.7696 8.04855 11.773 8.05084 11.7765C8.05313 11.7799 8.056 11.7833 8.05944 11.7868C8.06173 11.7891 8.06517 11.7914 8.06976 11.7937L9.45735 12.5949V7.96101ZM10.2105 13.0282L11.997 14.0599L13.7835 13.0282V10.9666L11.9987 9.93493L10.2122 10.9666L10.2105 13.0282Z\" fill=\"white\"\u003e\u003c/path\u003e\u003c/svg\u003e", - "scopes": [ - "chat" - ], - "features": null - } -] \ No newline at end of file diff --git a/module/ai/provider/openAI/model_test.go b/module/ai/provider/openAI/model_test.go deleted file mode 100644 index 793eb6f3..00000000 --- a/module/ai/provider/openAI/model_test.go +++ /dev/null @@ -1,29 +0,0 @@ -package openAI - -import ( - "encoding/json" - "os" - "strings" - "testing" -) - -func TestPaddingLogo(t *testing.T) { - data := make([]*ModelData, 0) - err := json.Unmarshal(modelJson, &data) - if err != nil { - t.Fatal(err) - } - for _, d := range data { - if strings.HasPrefix(d.Id, "gpt-4") { - d.Logo = `` - } else { - d.Logo = ` - - - -` - } - } - result, _ := json.Marshal(data) - os.WriteFile("model_new.json", result, 0644) -} diff --git a/module/ai/provider/provider.go b/module/ai/provider/provider.go deleted file mode 100644 index 43ec8b2b..00000000 --- a/module/ai/provider/provider.go +++ /dev/null @@ -1,70 +0,0 @@ -package provider - -import "strings" - -//type ModelScope string -// -//func (m ModelScope) String() string { -// return string(m) -//} -// -//const ( -// ModelScopeChat ModelScope = "chat" -//) - -type IAIProvider interface { - Index() int - Info() *Info - GlobalConfig() IAIConfig - InvokeConfig() IAIConfig - UpdateLLMs() error - LLMs() []*LLM - LLM(id string) (*LLM, bool) -} - -type IAIConfig interface { - CheckConfig(cfg string) error - DefaultConfig() string - MaskConfig(cfg string) string -} - -type Info struct { - Id string - Name string - Logo string - DefaultLLM string - GetAPIKeyUrl string -} - -type LLM struct { - Id string - Logo string - Scopes []string -} - -func PartialMasking(origin string, begin int, length int) string { - target := strings.Builder{} - runes := []rune(origin) - size := len(runes) - if begin > size { - return origin - } else if length == -1 || begin+length > size { - for i := 0; i < begin; i++ { - target.WriteRune(runes[i]) - } - for i := begin; i < size; i++ { - target.WriteRune('*') - } - } else { - for i := 0; i < begin; i++ { - target.WriteRune(runes[i]) - } - for i := begin; i < begin+length; i++ { - target.WriteRune('*') - } - for i := begin + length; i < size; i++ { - target.WriteRune(runes[i]) - } - } - return target.String() -}