> ## Documentation Index > Fetch the complete documentation index at: https://docs.getbifrost.ai/llms.txt > Use this file to discover all available pages before exploring further. # Custom Providers > Create custom provider configurations with specific request type restrictions, custom naming, and controlled access patterns. ## What Are Custom Providers? Custom providers allow you to create multiple instances of the same base provider, each with different configurations and access patterns. The key feature is request type control, which enables you to restrict what operations each custom provider instance can perform. Think of custom providers as "multiple views" of the same underlying provider - you can create several custom configurations for OpenAI, Anthropic, or any other provider, each optimized for different use cases while sharing the same API keys and base infrastructure. ## Key Benefits * **Multiple Provider Instances**: Create several configurations of the same base provider (e.g., multiple OpenAI configurations) * **Request Type Control**: Restrict which operations (chat, embeddings, speech, etc.) each custom provider can perform * **Custom Naming**: Use descriptive names like "openai-production" or "openai-staging" * **Provider Reuse**: Maximize the value of your existing provider accounts ## How to Configure Custom providers are configured using the `custom_provider_config` field, which extends the standard provider configuration. The main purpose is to create multiple instances of the same base provider, each with different request type restrictions. **Important**: The `allowed_requests` field follows a specific behavior: * **Omitted entirely**: All operations are allowed (default behavior) * **Partially specified**: Only explicitly set fields are allowed, others default to `false` * **Fully specified**: Only the operations you explicitly enable are allowed * **Present but empty object (`{}`)**: All fields are set to false Provider Configuration Interface 1. Go to **[http://localhost:8080](http://localhost:8080)** 2. Navigate to **"Providers"** in the sidebar 3. Click **"Add New Provider"** 4. Choose a unique provider name (e.g., "openai-custom") 5. Select the base provider type (e.g., "openai") 6. Configure which request types are allowed 7. Save configuration ```bash theme={null} # Create a chat-only custom provider curl --location 'http://localhost:8080/api/providers' \ --header 'Content-Type: application/json' \ --data '{ "provider": "openai-custom", "keys": [ { "name": "openai-custom-key-1", "value": "env.OPENAI_API_KEY", "models": ["*"], "weight": 1.0 } ], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "list_models": false, "text_completion": false, "text_completion_stream": false, "chat_completion": true, "chat_completion_stream": true, "responses": false, "responses_stream": false, "embedding": false, "speech": false, "speech_stream": false, "transcription": false, "transcription_stream": false }, "request_path_overrides": { "chat_completion": "/v1/chat/completions" } } }' ``` ```json theme={null} { "providers": { "openai-custom": { "keys": [ { "name": "openai-custom-key-1", "value": "env.OPENAI_API_KEY", "models": ["*"], "weight": 1.0 } ], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "list_models": false, "text_completion": false, "text_completion_stream": false, "chat_completion": true, "chat_completion_stream": true, "responses": false, "responses_stream": false, "embedding": false, "speech": false, "speech_stream": false, "transcription": false, "transcription_stream": false }, "request_path_overrides": { "chat_completion": "/v1/chat/completions" } } } } } ``` Create a custom provider using the Go SDK by implementing the Account interface with custom provider configuration: ```go theme={null} package main import ( "context" "fmt" "os" "time" "github.com/maximhq/bifrost/core/schemas" ) // Define custom provider name const ProviderOpenAICustom = schemas.ModelProvider("openai-custom") type MyAccount struct{} func (a *MyAccount) GetConfiguredProviders() ([]schemas.ModelProvider, error) { return []schemas.ModelProvider{ schemas.OpenAI, ProviderOpenAICustom, // Include your custom provider }, nil } func (a *MyAccount) GetKeysForProvider(ctx context.Context, provider schemas.ModelProvider) ([]schemas.Key, error) { switch provider { case schemas.OpenAI: return []schemas.Key{{ Value: os.Getenv("OPENAI_API_KEY"), Models: []string{}, Weight: 1.0, }}, nil case ProviderOpenAICustom: return []schemas.Key{{ Value: os.Getenv("OPENAI_CUSTOM_API_KEY"), // API key for OpenAI-compatible endpoint Models: []string{}, Weight: 1.0, }}, nil } return nil, fmt.Errorf("provider %s not supported", provider) } func (a *MyAccount) GetConfigForProvider(provider schemas.ModelProvider) (*schemas.ProviderConfig, error) { switch provider { case schemas.OpenAI: return &schemas.ProviderConfig{ NetworkConfig: schemas.DefaultNetworkConfig, ConcurrencyAndBufferSize: schemas.DefaultConcurrencyAndBufferSize, }, nil case ProviderOpenAICustom: return &schemas.ProviderConfig{ NetworkConfig: schemas.NetworkConfig{ BaseURL: "https://your-openai-compatible-endpoint.com", // Custom base URL DefaultRequestTimeoutInSeconds: 60, MaxRetries: 1, RetryBackoffInitial: 100 * time.Millisecond, RetryBackoffMax: 2 * time.Second, }, ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ Concurrency: 3, BufferSize: 10, }, CustomProviderConfig: &schemas.CustomProviderConfig{ BaseProviderType: schemas.OpenAI, // Use OpenAI protocol AllowedRequests: &schemas.AllowedRequests{ TextCompletion: false, TextCompletionStream: false, ChatCompletion: true, // Enable chat completion ChatCompletionStream: true, // Enable streaming Responses: false, ResponsesStream: false, Embedding: false, Speech: false, SpeechStream: false, Transcription: false, TranscriptionStream: false, }, RequestPathOverrides: map[schemas.RequestType]string{ schemas.ChatCompletionRequest: "/v1/chat/completions", schemas.ChatCompletionStreamRequest: "/v1/chat/completions", }, }, }, nil } return nil, fmt.Errorf("provider %s not supported", provider) } ``` ## Configuration Options ### Allowed Request Types Control which operations your custom provider can perform. The behavior is: * **If `allowed_requests` is not specified**: All operations are allowed by default * **If `allowed_requests` is specified**: Only the fields set to `true` are allowed, all others default to `false` Available operations: * **`text_completion`**: Legacy text completion requests * **`text_completion_stream`**: Streaming text completion requests * **`chat_completion`**: Standard chat completion requests * **`chat_completion_stream`**: Streaming chat responses * **`responses`**: Standard responses requests * **`responses_stream`**: Streaming responses requests * **`embedding`**: Text embedding generation * **`speech`**: Text-to-speech conversion * **`speech_stream`**: Streaming text-to-speech * **`transcription`**: Speech-to-text conversion * **`transcription_stream`**: Streaming speech-to-text ### Base Provider Types Custom providers can be built on these supported providers: * `openai` - OpenAI API * `anthropic` - Anthropic Claude * `bedrock` - AWS Bedrock * `cohere` - Cohere * `gemini` - Gemini * `replicate` - Replicate ### Request Path Overrides The `request_path_overrides` field allows you to override the default API endpoint paths for specific request types. This is useful when: * Connecting to custom or self-hosted model providers * Integrating with proxies that expect specific URL patterns * Using provider forks with modified API paths **Not Supported:** `request_path_overrides` is not supported for `gemini` and `bedrock` base provider types due to their specialized API implementations. The field accepts a mapping of request types to either custom **paths** or **full URLs**: **Using Paths (relative to `base_url`):** ```json theme={null} { "request_path_overrides": { "chat_completion": "/v1/chat/completions", "chat_completion_stream": "/v1/chat/completions", "embedding": "/v1/embeddings", "text_completion": "/v1/completions" } } ``` **Using Full URLs (bypasses `base_url`):** ```json theme={null} { "request_path_overrides": { "chat_completion": "https://specific-endpoint.com/chat", "embedding": "http://another-service:8080/embeddings" } } ``` When a full URL (with scheme and host) is provided in `request_path_overrides`, Bifrost will use that URL directly and ignore the `base_url` from `network_config` for that specific request type. This allows you to route different request types to completely different endpoints. **Example: OpenAI-Compatible Endpoint with Custom Paths** ```json theme={null} { "custom-llm": { "keys": [{ "name": "custom-llm-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "network_config": { "base_url": "https://your-openai-compatible-endpoint.com" }, "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true }, "request_path_overrides": { "chat_completion": "/api/v2/chat", "chat_completion_stream": "/api/v2/chat" } } } } ``` In this example, instead of using OpenAI's default `/v1/chat/completions` path, requests will be sent to `https://custom-endpoint.example.com/api/v2/chat`. ### TLS for Self-Signed or Internal Certificates When connecting to providers with HTTPS endpoints that use self-signed certificates or internal CAs (e.g., air-gapped environments, internal services), you can configure TLS in `network_config`: | Field | Type | Description | | ---------------------- | ------- | --------------------------------------------------------------------------------------------------------------------- | | `insecure_skip_verify` | boolean | Disable TLS certificate verification. Use only for trusted internal environments. **Not recommended for production.** | | `ca_cert_pem` | string | PEM-encoded CA certificate to trust for provider connections. Use when the endpoint uses a custom CA. | These options are mutually exclusive. Do not set `insecure_skip_verify: true` together with `ca_cert_pem`; provider config validation rejects that combination. **Option 1: Skip verification (air-gapped / self-signed)** ```json theme={null} { "my-air-gapped-provider": { "keys": [{ "name": "key-1", "value": "env.API_KEY", "models": ["*"], "weight": 1.0 }], "network_config": { "base_url": "https://internal-llm.example.com", "insecure_skip_verify": true }, "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true } } } } ``` **Option 2: Custom CA certificate (preferred when you have the CA)** ```json theme={null} { "my-internal-provider": { "keys": [{ "name": "key-1", "value": "env.API_KEY", "models": ["*"], "weight": 1.0 }], "network_config": { "base_url": "https://internal-llm.example.com", "ca_cert_pem": "-----BEGIN CERTIFICATE-----\n...\n-----END CERTIFICATE-----" }, "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true } } } } ``` Using `insecure_skip_verify` disables all certificate verification and is insecure. Prefer `ca_cert_pem` when you have the CA certificate. Only use `insecure_skip_verify` in trusted, isolated environments (e.g., air-gapped networks). ## Use Cases ### 1. Environment-Specific Configurations Create different configurations for production, staging, and development environments: ```json theme={null} { "openai-production": { "keys": [{ "name": "openai-prod-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true, "embedding": true, "speech": true, "speech_stream": true } } }, "openai-staging": { "keys": [{ "name": "openai-stage-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true, "embedding": true, "speech": false, "speech_stream": false } } }, "openai-dev": { "keys": [{ "name": "openai-dev-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": false, "embedding": false, "speech": false, "speech_stream": false } } } } ``` ### 2. Role-Based Access Control Restrict capabilities based on user roles or team permissions. You can then create virtual keys for better management of who can access which providers, providing granular control over team permissions and resource usage. This integrates seamlessly with Bifrost's **[governance](../features/governance/virtual-keys)** features for comprehensive access control and monitoring: ```json theme={null} { "openai-developers": { "keys": [{ "name": "openai-developers-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true, "embedding": true, "text_completion": true } } }, "openai-analysts": { "keys": [{ "name": "openai-analysts-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "embedding": true } } }, "openai-support": { "keys": [{ "name": "openai-support-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": false } } } } ``` ### 3. Feature Testing and Rollouts Test new features with limited user groups: ```json theme={null} { "openai-beta-streaming": { "keys": [{ "name": "openai-streaming-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": true, "embedding": false } } }, "openai-stable": { "keys": [{ "name": "openai-stable-key-1", "value": "env.PROVIDER_API_KEY", "models": ["*"], "weight": 1.0 }], "custom_provider_config": { "base_provider_type": "openai", "allowed_requests": { "chat_completion": true, "chat_completion_stream": false, "embedding": true } } } } ``` ## Making Requests Use your custom provider name in requests: ```bash theme={null} # Request to custom provider curl --location 'http://localhost:8080/v1/chat/completions' \ --header 'Content-Type: application/json' \ --data '{ "model": "openai-custom/gpt-4o-mini", "messages": [ {"role": "user", "content": "Hello!"} ] }' ``` ## Relationship to Provider Configuration Custom providers extend the standard provider configuration system. They inherit all the capabilities of their base provider while adding request type restrictions. **Learn more about provider configuration:** * **[Gateway Provider Configuration](../quickstart/gateway/provider-configuration)** * **[Go SDK Provider Configuration](../quickstart/go-sdk/provider-configuration)** ## Next Steps * **[Fallbacks](../features/fallbacks)** - Automatic failover between providers * **[Load Balancing](../features/keys-management)** - Intelligent API key management with weighted load balancing * **[Governance](../features/governance/virtual-keys)** - Advanced access control and monitoring