Merge pull request #17 from lordmathis/fix/forbidden-logs

fix: Refactor log fetching to use instancesApi

README.md

@@ -2,90 +2,132 @@
 
 ![Build and Release](https://github.com/lordmathis/llamactl/actions/workflows/release.yaml/badge.svg) ![Go Tests](https://github.com/lordmathis/llamactl/actions/workflows/go_test.yaml/badge.svg) ![WebUI Tests](https://github.com/lordmathis/llamactl/actions/workflows/webui_test.yaml/badge.svg)
 
-A control server for managing multiple Llama Server instances with a web-based dashboard.
+**Management server for multiple llama.cpp instances with OpenAI-compatible API routing.**
 
-## Features
+## Why llamactl?
 
-- **Multi-instance Management**: Create, start, stop, restart, and delete multiple llama-server instances
+🚀 **Multiple Model Serving**: Run different models simultaneously (7B for speed, 70B for quality)  
-- **Web Dashboard**: Modern React-based UI for managing instances
+🔗 **OpenAI API Compatible**: Drop-in replacement - route requests by model name  
-- **Auto-restart**: Configurable automatic restart on instance failure
+🌐 **Web Dashboard**: Modern React UI for visual management (unlike CLI-only tools)  
-- **Instance Monitoring**: Real-time health checks and status monitoring
+🔐 **API Key Authentication**: Separate keys for management vs inference access  
-- **Log Management**: View, search, and download instance logs
+📊 **Instance Monitoring**: Health checks, auto-restart, log management  
-- **Data Persistence**: Persistent storage of instance state.
+⚡ **Persistent State**: Instances survive server restarts
-- **REST API**: Full API for programmatic control
-- **OpenAI Compatible**: Route requests to instances by instance name
-- **Configuration Management**: Comprehensive llama-server parameter support
-- **System Information**: View llama-server version, devices, and help
-- **API Key Authentication**: Secure access with separate management and inference keys
 
-## Prerequisites
+**Choose llamactl if**: You need authentication, health monitoring, auto-restart, and centralized management of multiple llama-server instances  
+**Choose Ollama if**: You want the simplest setup with strong community ecosystem and third-party integrations  
+**Choose LM Studio if**: You prefer a polished desktop GUI experience with easy model management
 
-This project requires `llama-server` from llama.cpp to be installed and available in your PATH.
+## Quick Start
 
-**Install llama.cpp:**
+```bash
-Follow the installation instructions at https://github.com/ggml-org/llama.cpp
+# 1. Install llama-server (one-time setup)
+# See: https://github.com/ggml-org/llama.cpp#quick-start
+
+# 2. Download and run llamactl
+LATEST_VERSION=$(curl -s https://api.github.com/repos/lordmathis/llamactl/releases/latest | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/')
+curl -L https://github.com/lordmathis/llamactl/releases/download/${LATEST_VERSION}/llamactl-${LATEST_VERSION}-linux-amd64.tar.gz | tar -xz
+sudo mv llamactl /usr/local/bin/
+
+# 3. Start the server
+llamactl
+# Access dashboard at http://localhost:8080
+```
+
+## Usage
+
+### Create and manage instances via web dashboard:
+1. Open http://localhost:8080
+2. Click "Create Instance"
+3. Set model path and GPU layers
+4. Start or stop the instance
+
+### Or use the REST API:
+```bash
+# Create instance
+curl -X POST localhost:8080/api/v1/instances/my-7b-model \
+  -H "Authorization: Bearer your-key" \
+  -d '{"model": "/path/to/model.gguf", "gpu_layers": 32}'
+
+# Use with OpenAI SDK
+curl -X POST localhost:8080/v1/chat/completions \
+  -H "Authorization: Bearer your-key" \
+  -d '{"model": "my-7b-model", "messages": [{"role": "user", "content": "Hello!"}]}'
+```
 
 ## Installation
 
-### Download Prebuilt Binaries
+### Option 1: Download Binary (Recommended)
 
-The easiest way to install llamactl is to download a prebuilt binary from the [releases page](https://github.com/lordmathis/llamactl/releases).
-
-**Linux/macOS:**
 ```bash
-# Download the latest release for your platform
+# Linux/macOS - Get latest version and download
-curl -L https://github.com/lordmathis/llamactl/releases/latest/download/llamactl-$(curl -s https://api.github.com/repos/lordmathis/llamactl/releases/latest | grep tag_name | cut -d '"' -f 4)-linux-amd64.tar.gz | tar -xz
+LATEST_VERSION=$(curl -s https://api.github.com/repos/lordmathis/llamactl/releases/latest | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/')
-
+curl -L https://github.com/lordmathis/llamactl/releases/download/${LATEST_VERSION}/llamactl-${LATEST_VERSION}-$(uname -s | tr '[:upper:]' '[:lower:]')-$(uname -m).tar.gz | tar -xz
-# Move to PATH
 sudo mv llamactl /usr/local/bin/
 
-# Run the server
+# Or download manually from the releases page:
-llamactl
+# https://github.com/lordmathis/llamactl/releases/latest
+
+# Windows - Download from releases page
 ```
 
-**Manual Download:**
+### Option 2: Build from Source
-1. Go to the [releases page](https://github.com/lordmathis/llamactl/releases)
+Requires Go 1.24+ and Node.js 22+
-2. Download the appropriate archive for your platform
-3. Extract the archive and move the binary to a directory in your PATH
-
-### Build from Source
-
-If you prefer to build from source or need the latest development version:
-
-#### Build Requirements
-
-- Go 1.24 or later
-- Node.js 22 or later (for building the web UI)
-
-#### Building with Web UI
-
 ```bash
-# Clone the repository
 git clone https://github.com/lordmathis/llamactl.git
 cd llamactl
-
+cd webui && npm ci && npm run build && cd ..
-# Install Node.js dependencies
-cd webui
-npm ci
-
-# Build the web UI
-npm run build
-
-# Return to project root and build
-cd ..
 go build -o llamactl ./cmd/server
+```
 
-# Run the server
+## Prerequisites
-./llamactl
+
+You need `llama-server` from [llama.cpp](https://github.com/ggml-org/llama.cpp) installed:
+
+```bash
+# Quick install methods:
+# Homebrew (macOS)
+brew install llama.cpp
+
+# Or build from source - see llama.cpp docs
 ```
 
 ## Configuration
 
+llamactl works out of the box with sensible defaults.
+
+```yaml
+server:
+  host: "0.0.0.0"                # Server host to bind to
+  port: 8080                     # Server port to bind to
+  allowed_origins: ["*"]         # Allowed CORS origins (default: all)
+  enable_swagger: false          # Enable Swagger UI for API docs
+
+instances:
+  port_range: [8000, 9000]       # Port range for instances
+  data_dir: ~/.local/share/llamactl         # Data directory (platform-specific, see below)
+  configs_dir: ~/.local/share/llamactl/instances  # Instance configs directory
+  logs_dir: ~/.local/share/llamactl/logs    # Logs directory
+  auto_create_dirs: true         # Auto-create data/config/logs dirs if missing
+  max_instances: -1              # Max instances (-1 = unlimited)
+  llama_executable: llama-server # Path to llama-server executable
+  default_auto_restart: true     # Auto-restart new instances by default
+  default_max_restarts: 3        # Max restarts for new instances
+  default_restart_delay: 5       # Restart delay (seconds) for new instances
+
+auth:
+  require_inference_auth: true   # Require auth for inference endpoints
+  inference_keys: []             # Keys for inference endpoints
+  require_management_auth: true  # Require auth for management endpoints
+  management_keys: []            # Keys for management endpoints
+```
+
+<details><summary><strong>Full Configuration Guide</strong></summary>
+
 llamactl can be configured via configuration files or environment variables. Configuration is loaded in the following order of precedence:  
 
-1. Hardcoded defaults
+```
-2. Configuration file
+Defaults < Configuration file < Environment variables
-3. Environment variables
+```
 
 ### Configuration Files
 
@@ -168,147 +210,8 @@ auth:
 - `LLAMACTL_REQUIRE_MANAGEMENT_AUTH` - Require auth for management endpoints (true/false)
 - `LLAMACTL_MANAGEMENT_KEYS` - Comma-separated management API keys
 
-### Example Configuration
+</details>
-
-```yaml
-server:
-  host: "0.0.0.0"
-  port: 8080
-
-instances:
-  port_range: [8001, 8100]
-  data_dir: "/var/lib/llamactl"
-  configs_dir: "/var/lib/llamactl/instances"
-  logs_dir: "/var/log/llamactl"
-  auto_create_dirs: true
-  max_instances: 10
-  llama_executable: "/usr/local/bin/llama-server"
-  default_auto_restart: true
-  default_max_restarts: 5
-  default_restart_delay: 10
-
-auth:
-  require_inference_auth: true
-  inference_keys: ["sk-inference-abc123"]
-  require_management_auth: true
-  management_keys: ["sk-management-xyz456"]
-```
-
-## Usage
-
-### Starting the Server
-
-```bash
-# Start with default configuration
-./llamactl
-
-# Start with custom config file
-LLAMACTL_CONFIG_PATH=/path/to/config.yaml ./llamactl
-
-# Start with environment variables
-LLAMACTL_PORT=9090 LLAMACTL_LOG_DIR=/custom/logs ./llamactl
-```
-
-### Authentication
-
-llamactl supports API Key authentication for both management and inference (OpenAI-compatible) endpoints. There are separate keys for management and inference APIs:
-
-- **Management keys** grant full access to instance management
-- **Inference keys** grant access to OpenAI-compatible endpoints
-- Management keys also work for inference endpoints (higher privilege)
-
-**How to Use:**
-Pass your API key in requests using one of:
-- `Authorization: Bearer <key>` header
-- `X-API-Key: <key>` header
-- `api_key=<key>` query parameter
-
-**Auto-generated keys**: If no keys are set and authentication is required, a key will be generated and printed to the terminal at startup. For production, set your own keys in config or environment variables.
-
-### Web Dashboard
-
-Open your browser and navigate to `http://localhost:8080` to access the web dashboard.
-
-### API Usage
-
-The REST API is available at `http://localhost:8080/api/v1`. See the Swagger documentation at `http://localhost:8080/swagger/` for complete API reference.
-
-#### Create an Instance
-
-```bash
-curl -X POST http://localhost:8080/api/v1/instances/my-instance \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer sk-management-your-key" \
-  -d '{
-    "model": "/path/to/model.gguf",
-    "gpu_layers": 32,
-    "auto_restart": true
-  }'
-```
-
-#### List Instances
-
-```bash
-curl -H "Authorization: Bearer sk-management-your-key" \
-  http://localhost:8080/api/v1/instances
-```
-
-#### Start/Stop Instance
-
-```bash
-# Start
-curl -X POST \
-  -H "Authorization: Bearer sk-management-your-key" \
-  http://localhost:8080/api/v1/instances/my-instance/start
-
-# Stop
-curl -X POST \
-  -H "Authorization: Bearer sk-management-your-key" \
-  http://localhost:8080/api/v1/instances/my-instance/stop
-```
-
-### OpenAI Compatible Endpoints
-
-Route requests to instances by including the instance name as the model parameter:
-
-```bash
-curl -X POST http://localhost:8080/v1/chat/completions \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer sk-inference-your-key" \
-  -d '{
-    "model": "my-instance",
-    "messages": [{"role": "user", "content": "Hello!"}]
-  }'
-```
-
-## Development
-
-### Running Tests
-
-```bash
-# Go tests
-go test ./...
-
-# Web UI tests
-cd webui
-npm test
-```
-
-### Development Server
-
-```bash
-# Start Go server in development mode
-go run ./cmd/server
-
-# Start web UI development server (in another terminal)
-cd webui
-npm run dev
-```
-
-## API Documentation
-
-Interactive API documentation is available at `http://localhost:8080/swagger/` when the server is running.
 
 ## License
 
-This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
+MIT License - see [LICENSE](LICENSE) file.

pkg/backends/llamacpp/llama.go

@@ -15,12 +15,12 @@ type LlamaServerOptions struct {
 	CPUMask                 string   `json:"cpu_mask,omitempty"`
 	CPURange                string   `json:"cpu_range,omitempty"`
 	CPUStrict               int      `json:"cpu_strict,omitempty"`
-	Priority                int      `json:"priority,omitempty"`
+	Prio                    int      `json:"prio,omitempty"`
 	Poll                    int      `json:"poll,omitempty"`
 	CPUMaskBatch            string   `json:"cpu_mask_batch,omitempty"`
 	CPURangeBatch           string   `json:"cpu_range_batch,omitempty"`
 	CPUStrictBatch          int      `json:"cpu_strict_batch,omitempty"`
-	PriorityBatch           int      `json:"priority_batch,omitempty"`
+	PrioBatch               int      `json:"prio_batch,omitempty"`
 	PollBatch               int      `json:"poll_batch,omitempty"`
 	CtxSize                 int      `json:"ctx_size,omitempty"`
 	Predict                 int      `json:"predict,omitempty"`
@@ -83,7 +83,7 @@ type LlamaServerOptions struct {
 	Seed               int      `json:"seed,omitempty"`
 	SamplingSeq        string   `json:"sampling_seq,omitempty"`
 	IgnoreEOS          bool     `json:"ignore_eos,omitempty"`
-	Temperature        float64  `json:"temperature,omitempty"`
+	Temperature        float64  `json:"temp,omitempty"`
 	TopK               int      `json:"top_k,omitempty"`
 	TopP               float64  `json:"top_p,omitempty"`
 	MinP               float64  `json:"min_p,omitempty"`
@@ -110,7 +110,7 @@ type LlamaServerOptions struct {
 	JSONSchema         string   `json:"json_schema,omitempty"`
 	JSONSchemaFile     string   `json:"json_schema_file,omitempty"`
 
-	// Server/Example-specific params
+	// Example-specific params
 	NoContextShift       bool    `json:"no_context_shift,omitempty"`
 	Special              bool    `json:"special,omitempty"`
 	NoWarmup             bool    `json:"no_warmup,omitempty"`
@@ -150,8 +150,6 @@ type LlamaServerOptions struct {
 	NoPrefillAssistant   bool    `json:"no_prefill_assistant,omitempty"`
 	SlotPromptSimilarity float64 `json:"slot_prompt_similarity,omitempty"`
 	LoraInitWithoutApply bool    `json:"lora_init_without_apply,omitempty"`
-
-	// Speculative decoding params
 	DraftMax             int     `json:"draft_max,omitempty"`
 	DraftMin             int     `json:"draft_min,omitempty"`
 	DraftPMin            float64 `json:"draft_p_min,omitempty"`
@@ -199,7 +197,7 @@ func (o *LlamaServerOptions) UnmarshalJSON(data []byte) error {
 
 	// Handle alternative field names
 	fieldMappings := map[string]string{
-		// Official llama-server short forms from the documentation
+		// Common params
 		"t":             "threads",         // -t, --threads N
 		"tb":            "threads_batch",   // -tb, --threads-batch N
 		"C":             "cpu_mask",        // -C, --cpu-mask M
@@ -207,7 +205,8 @@ func (o *LlamaServerOptions) UnmarshalJSON(data []byte) error {
 		"Cb":            "cpu_mask_batch",  // -Cb, --cpu-mask-batch M
 		"Crb":           "cpu_range_batch", // -Crb, --cpu-range-batch lo-hi
 		"c":             "ctx_size",        // -c, --ctx-size N
-		"n":    "predict",                // -n, --predict, --n-predict N
+		"n":             "predict",         // -n, --predict N
+		"n-predict":     "predict",         // --n-predict N
 		"b":             "batch_size",      // -b, --batch-size N
 		"ub":            "ubatch_size",     // -ub, --ubatch-size N
 		"fa":            "flash_attn",      // -fa, --flash-attn
@@ -221,6 +220,7 @@ func (o *LlamaServerOptions) UnmarshalJSON(data []byte) error {
 		"dev":           "device",          // -dev, --device <dev1,dev2,..>
 		"ot":            "override_tensor", // --override-tensor, -ot
 		"ngl":           "gpu_layers",      // -ngl, --gpu-layers, --n-gpu-layers N
+		"n-gpu-layers":  "gpu_layers",      // --n-gpu-layers N
 		"sm":            "split_mode",      // -sm, --split-mode
 		"ts":            "tensor_split",    // -ts, --tensor-split N0,N1,N2,...
 		"mg":            "main_gpu",        // -mg, --main-gpu INDEX
@@ -236,21 +236,32 @@ func (o *LlamaServerOptions) UnmarshalJSON(data []byte) error {
 		"hffv":          "hf_file_v",       // -hffv, --hf-file-v FILE
 		"hft":           "hf_token",        // -hft, --hf-token TOKEN
 		"v":             "verbose",         // -v, --verbose, --log-verbose
+		"log-verbose":   "verbose",         // --log-verbose
 		"lv":            "verbosity",       // -lv, --verbosity, --log-verbosity N
+		"log-verbosity": "verbosity",       // --log-verbosity N
+
+		// Sampling params
 		"s":  "seed",             // -s, --seed SEED
-		"temp": "temperature",            // --temp N
 		"l":  "logit_bias",       // -l, --logit-bias
 		"j":  "json_schema",      // -j, --json-schema SCHEMA
 		"jf": "json_schema_file", // -jf, --json-schema-file FILE
+
+		// Example-specific params
 		"sp":                 "special",                // -sp, --special
 		"cb":                 "cont_batching",          // -cb, --cont-batching
 		"nocb":               "no_cont_batching",       // -nocb, --no-cont-batching
 		"a":                  "alias",                  // -a, --alias STRING
+		"embeddings":         "embedding",              // --embeddings
+		"rerank":             "reranking",              // --reranking
 		"to":                 "timeout",                // -to, --timeout N
 		"sps":                "slot_prompt_similarity", // -sps, --slot-prompt-similarity
+		"draft":              "draft-max",              // -draft, --draft-max N
+		"draft-n":            "draft-max",              // --draft-n-max N
+		"draft-n-min":        "draft_min",              // --draft-n-min N
 		"cd":                 "ctx_size_draft",         // -cd, --ctx-size-draft N
 		"devd":               "device_draft",           // -devd, --device-draft
 		"ngld":               "gpu_layers_draft",       // -ngld, --gpu-layers-draft
+		"n-gpu-layers-draft": "gpu_layers_draft",       // --n-gpu-layers-draft N
 		"md":                 "model_draft",            // -md, --model-draft FNAME
 		"ctkd":               "cache_type_k_draft",     // -ctkd, --cache-type-k-draft TYPE
 		"ctvd":               "cache_type_v_draft",     // -ctvd, --cache-type-v-draft TYPE

pkg/backends/llamacpp/llama_test.go

@@ -113,7 +113,7 @@ func TestBuildCommandArgs_NumericFields(t *testing.T) {
 		"--threads":    "4",
 		"--ctx-size":   "2048",
 		"--gpu-layers": "16",
-		"--temperature": "0.7",
+		"--temp":       "0.7",
 		"--top-k":      "40",
 		"--top-p":      "0.9",
 	}
@@ -231,7 +231,7 @@ func TestUnmarshalJSON_StandardFields(t *testing.T) {
 		"verbose": true,
 		"ctx_size": 4096,
 		"gpu_layers": 32,
-		"temperature": 0.7
+		"temp": 0.7
 	}`
 
 	var options llamacpp.LlamaServerOptions

webui/src/components/LogDialog.tsx

@@ -11,6 +11,7 @@ import {
   DialogTitle,
 } from '@/components/ui/dialog'
 import { Badge } from '@/components/ui/badge'
+import { instancesApi } from '@/lib/api'
 import { 
   RefreshCw, 
   Download, 
@@ -46,21 +47,15 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
   const refreshIntervalRef = useRef<NodeJS.Timeout | null>(null)
 
   // Fetch logs function
-  const fetchLogs = async (lines?: number) => {
+  const fetchLogs = React.useCallback(
+    async (lines?: number) => {
       if (!instanceName) return
       
       setLoading(true)
       setError(null)
       
       try {
-      const params = lines ? `?lines=${lines}` : ''
+        const logText = await instancesApi.getLogs(instanceName, lines)
-      const response = await fetch(`/api/v1/instances/${instanceName}/logs${params}`)
-      
-      if (!response.ok) {
-        throw new Error(`Failed to fetch logs: ${response.status}`)
-      }
-      
-      const logText = await response.text()
         setLogs(logText)
         
         // Auto-scroll to bottom
@@ -74,20 +69,22 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
       } finally {
         setLoading(false)
       }
-  }
+    },
+    [instanceName]
+  )
 
   // Initial load when dialog opens
   useEffect(() => {
     if (open && instanceName) {
-      fetchLogs(lineCount)
+      void fetchLogs(lineCount)
     }
-  }, [open, instanceName])
+  }, [open, instanceName, fetchLogs, lineCount])
 
   // Auto-refresh effect
   useEffect(() => {
     if (autoRefresh && isRunning && open) {
       refreshIntervalRef.current = setInterval(() => {
-        fetchLogs(lineCount)
+        void fetchLogs(lineCount)
       }, 2000) // Refresh every 2 seconds
     } else {
       if (refreshIntervalRef.current) {
@@ -101,7 +98,7 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
         clearInterval(refreshIntervalRef.current)
       }
     }
-  }, [autoRefresh, isRunning, open, lineCount])
+  }, [autoRefresh, isRunning, open, lineCount, fetchLogs])
 
   // Copy logs to clipboard
   const copyLogs = async () => {
@@ -135,7 +132,7 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
 
   // Apply new line count
   const applyLineCount = () => {
-    fetchLogs(lineCount)
+    void fetchLogs(lineCount)
     setShowSettings(false)
   }
 
@@ -198,7 +195,7 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
               <Button
                 variant="outline"
                 size="sm"
-                onClick={() => fetchLogs(lineCount)}
+                onClick={() => void fetchLogs(lineCount)}
                 disabled={loading}
               >
                 {loading ? (
@@ -290,7 +287,7 @@ const LogsDialog: React.FC<LogsDialogProps> = ({
           <div className="flex items-center gap-2 w-full">
             <Button
               variant="outline"
-              onClick={copyLogs}
+              onClick={() => void copyLogs()}
               disabled={!logs}
             >
               {copied ? (

webui/src/components/ZodFormField.tsx

@@ -7,8 +7,8 @@ import { getFieldType, basicFieldsConfig } from '@/lib/zodFormUtils'
 
 interface ZodFormFieldProps {
   fieldKey: keyof CreateInstanceOptions
-  value: any
+  value: string | number | boolean | string[] | undefined
-  onChange: (key: keyof CreateInstanceOptions, value: any) => void
+  onChange: (key: keyof CreateInstanceOptions, value: string | number | boolean | string[] | undefined) => void
 }
 
 const ZodFormField: React.FC<ZodFormFieldProps> = ({ fieldKey, value, onChange }) => {
@@ -18,7 +18,7 @@ const ZodFormField: React.FC<ZodFormFieldProps> = ({ fieldKey, value, onChange }
   // Get type from Zod schema
   const fieldType = getFieldType(fieldKey)
 
-  const handleChange = (newValue: any) => {
+  const handleChange = (newValue: string | number | boolean | string[] | undefined) => {
     onChange(fieldKey, newValue)
   }
 
@@ -29,7 +29,7 @@ const ZodFormField: React.FC<ZodFormFieldProps> = ({ fieldKey, value, onChange }
           <div className="flex items-center space-x-2">
             <Checkbox
               id={fieldKey}
-              checked={value || false}
+              checked={typeof value === 'boolean' ? value : false}
               onCheckedChange={(checked) => handleChange(checked)}
             />
             <Label htmlFor={fieldKey} className="text-sm font-normal">
@@ -51,10 +51,14 @@ const ZodFormField: React.FC<ZodFormFieldProps> = ({ fieldKey, value, onChange }
             <Input
               id={fieldKey}
               type="number"
-              value={value || ''}
+              step="any" // This allows decimal numbers
+              value={typeof value === 'string' || typeof value === 'number' ? value : ''}
               onChange={(e) => {
                 const numValue = e.target.value ? parseFloat(e.target.value) : undefined
+                // Only update if the parsed value is valid or the input is empty
+                if (e.target.value === '' || (numValue !== undefined && !isNaN(numValue))) {
                   handleChange(numValue)
+                }
               }}
               placeholder={config.placeholder}
             />
@@ -101,7 +105,7 @@ const ZodFormField: React.FC<ZodFormFieldProps> = ({ fieldKey, value, onChange }
             <Input
               id={fieldKey}
               type="text"
-              value={value || ''}
+              value={typeof value === 'string' || typeof value === 'number' ? value : ''}
               onChange={(e) => handleChange(e.target.value || undefined)}
               placeholder={config.placeholder}
             />

webui/src/lib/zodFormUtils.ts

@@ -1,5 +1,4 @@
-import type { CreateInstanceOptions} from '@/schemas/instanceOptions';
+import { type CreateInstanceOptions, getAllFieldKeys } from '@/schemas/instanceOptions'
-import { getAllFieldKeys } from '@/schemas/instanceOptions'
 
 // Only define the basic fields we want to show by default
 export const basicFieldsConfig: Record<string, { 

webui/src/schemas/instanceOptions.ts

@@ -14,12 +14,12 @@ export const CreateInstanceOptionsSchema = z.object({
   cpu_mask: z.string().optional(),
   cpu_range: z.string().optional(),
   cpu_strict: z.number().optional(),
-  priority: z.number().optional(),
+  prio: z.number().optional(),
   poll: z.number().optional(),
   cpu_mask_batch: z.string().optional(),
   cpu_range_batch: z.string().optional(),
   cpu_strict_batch: z.number().optional(),
-  priority_batch: z.number().optional(),
+  prio_batch: z.number().optional(),
   poll_batch: z.number().optional(),
   ctx_size: z.number().optional(),
   predict: z.number().optional(),
@@ -82,7 +82,7 @@ export const CreateInstanceOptionsSchema = z.object({
   seed: z.number().optional(),
   sampling_seq: z.string().optional(),
   ignore_eos: z.boolean().optional(),
-  temperature: z.number().optional(),
+  temp: z.number().optional(),
   top_k: z.number().optional(),
   top_p: z.number().optional(),
   min_p: z.number().optional(),
@@ -109,7 +109,7 @@ export const CreateInstanceOptionsSchema = z.object({
   json_schema: z.string().optional(),
   json_schema_file: z.string().optional(),
 
-  // Server/Example-specific params
+  // Example-specific params
   no_context_shift: z.boolean().optional(),
   special: z.boolean().optional(),
   no_warmup: z.boolean().optional(),
@@ -149,8 +149,6 @@ export const CreateInstanceOptionsSchema = z.object({
   no_prefill_assistant: z.boolean().optional(),
   slot_prompt_similarity: z.number().optional(),
   lora_init_without_apply: z.boolean().optional(),
-
-  // Speculative decoding params
   draft_max: z.number().optional(),
   draft_min: z.number().optional(),
   draft_p_min: z.number().optional(),