diff --git a/core/backend/llm.go b/core/backend/llm.go
index 1cad6db5..14eb8569 100644
--- a/core/backend/llm.go
+++ b/core/backend/llm.go
@@ -116,6 +116,11 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 		}
 
 		if tokenCallback != nil {
+
+			if c.TemplateConfig.ReplyPrefix != "" {
+				tokenCallback(c.TemplateConfig.ReplyPrefix, tokenUsage)
+			}
+
 			ss := ""
 
 			var partialRune []byte
@@ -165,8 +170,13 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 			tokenUsage.TimingTokenGeneration = reply.TimingTokenGeneration
 			tokenUsage.TimingPromptProcessing = reply.TimingPromptProcessing
 
+			response := string(reply.Message)
+			if c.TemplateConfig.ReplyPrefix != "" {
+				response = c.TemplateConfig.ReplyPrefix + response
+			}
+
 			return LLMResponse{
-				Response: string(reply.Message),
+				Response: response,
 				Usage:    tokenUsage,
 			}, err
 		}
diff --git a/core/config/backend_config.go b/core/config/backend_config.go
index 1da58c9d..56ffa38c 100644
--- a/core/config/backend_config.go
+++ b/core/config/backend_config.go
@@ -130,28 +130,28 @@ type LLMConfig struct {
 	TrimSpace       []string `yaml:"trimspace"`
 	TrimSuffix      []string `yaml:"trimsuffix"`
 
-	ContextSize          *int               `yaml:"context_size"`
-	NUMA                 bool               `yaml:"numa"`
-	LoraAdapter          string             `yaml:"lora_adapter"`
-	LoraBase             string             `yaml:"lora_base"`
-	LoraAdapters         []string           `yaml:"lora_adapters"`
-	LoraScales           []float32          `yaml:"lora_scales"`
-	LoraScale            float32            `yaml:"lora_scale"`
-	NoMulMatQ            bool               `yaml:"no_mulmatq"`
-	DraftModel           string             `yaml:"draft_model"`
-	NDraft               int32              `yaml:"n_draft"`
-	Quantization         string             `yaml:"quantization"`
-	LoadFormat           string             `yaml:"load_format"`
-	GPUMemoryUtilization float32            `yaml:"gpu_memory_utilization"` // vLLM
-	TrustRemoteCode      bool               `yaml:"trust_remote_code"`      // vLLM
-	EnforceEager         bool               `yaml:"enforce_eager"`          // vLLM
-	SwapSpace            int                `yaml:"swap_space"`             // vLLM
-	MaxModelLen          int                `yaml:"max_model_len"`          // vLLM
-	TensorParallelSize   int                `yaml:"tensor_parallel_size"`   // vLLM
-	DisableLogStatus     bool               `yaml:"disable_log_stats"`      // vLLM
-	DType                string             `yaml:"dtype"`                  // vLLM
-	LimitMMPerPrompt     LimitMMPerPrompt   `yaml:"limit_mm_per_prompt"`    // vLLM
-	MMProj               string             `yaml:"mmproj"`
+	ContextSize          *int             `yaml:"context_size"`
+	NUMA                 bool             `yaml:"numa"`
+	LoraAdapter          string           `yaml:"lora_adapter"`
+	LoraBase             string           `yaml:"lora_base"`
+	LoraAdapters         []string         `yaml:"lora_adapters"`
+	LoraScales           []float32        `yaml:"lora_scales"`
+	LoraScale            float32          `yaml:"lora_scale"`
+	NoMulMatQ            bool             `yaml:"no_mulmatq"`
+	DraftModel           string           `yaml:"draft_model"`
+	NDraft               int32            `yaml:"n_draft"`
+	Quantization         string           `yaml:"quantization"`
+	LoadFormat           string           `yaml:"load_format"`
+	GPUMemoryUtilization float32          `yaml:"gpu_memory_utilization"` // vLLM
+	TrustRemoteCode      bool             `yaml:"trust_remote_code"`      // vLLM
+	EnforceEager         bool             `yaml:"enforce_eager"`          // vLLM
+	SwapSpace            int              `yaml:"swap_space"`             // vLLM
+	MaxModelLen          int              `yaml:"max_model_len"`          // vLLM
+	TensorParallelSize   int              `yaml:"tensor_parallel_size"`   // vLLM
+	DisableLogStatus     bool             `yaml:"disable_log_stats"`      // vLLM
+	DType                string           `yaml:"dtype"`                  // vLLM
+	LimitMMPerPrompt     LimitMMPerPrompt `yaml:"limit_mm_per_prompt"`    // vLLM
+	MMProj               string           `yaml:"mmproj"`
 
 	FlashAttention bool   `yaml:"flash_attention"`
 	NoKVOffloading bool   `yaml:"no_kv_offloading"`
@@ -171,9 +171,9 @@ type LLMConfig struct {
 
 // LimitMMPerPrompt is a struct that holds the configuration for the limit-mm-per-prompt config in vLLM
 type LimitMMPerPrompt struct {
-	LimitImagePerPrompt   int   `yaml:"image"`
-	LimitVideoPerPrompt   int   `yaml:"video"`
-	LimitAudioPerPrompt   int   `yaml:"audio"`
+	LimitImagePerPrompt int `yaml:"image"`
+	LimitVideoPerPrompt int `yaml:"video"`
+	LimitAudioPerPrompt int `yaml:"audio"`
 }
 
 // AutoGPTQ is a struct that holds the configuration specific to the AutoGPTQ backend
@@ -213,6 +213,8 @@ type TemplateConfig struct {
 	Multimodal string `yaml:"multimodal"`
 
 	JinjaTemplate bool `yaml:"jinja_template"`
+
+	ReplyPrefix string `yaml:"reply_prefix"`
 }
 
 func (c *BackendConfig) UnmarshalYAML(value *yaml.Node) error {