fix: possible incorrect seed values

constants/Inference.ts

@@ -256,6 +256,27 @@ const constructStopSequence = (instruct: InstructType): Array<string> => {
     return sequence
 }
 
+const getRandomSeed = () => {
+    return Math.floor(Math.random() * 99999)
+}
+
+const getSeed = (seed: string | number | undefined): number => {
+    if (!seed) return getRandomSeed()
+
+    if (typeof seed === 'string') {
+        const newSeed = parseInt(seed)
+        if (newSeed !== -1) return newSeed
+        return getRandomSeed()
+    }
+
+    if (typeof seed === 'number') {
+        if (seed === -1) return getRandomSeed()
+        return seed
+    }
+
+    return getRandomSeed()
+}
+
 // Payloads
 
 const constructKAIPayload = () => {
@@ -275,10 +296,7 @@ const constructKAIPayload = () => {
         top_p: parseFloat(preset.top_p),
         typical: parseFloat(preset.typical),
         sampler_order: [6, 0, 1, 3, 4, 2, 5],
-        sampler_seed:
-            parseInt(preset.seed) === -1
-                ? Math.floor(Math.random() * 999999)
-                : parseInt(preset.seed),
+        sampler_seed: getSeed(preset?.seed),
         stop_sequence: constructStopSequence(currentInstruct),
         mirostat: parseInt(preset.mirostat_mode),
         mirostat_tau: parseFloat(preset.mirostat_tau),
@@ -385,10 +403,7 @@ const constructTGWUIPayload = () => {
         ban_eos_token: preset.ban_eos_token,
         skip_special_tokens: preset.skip_special_tokens,
         stopping_strings: constructStopSequence(currentInstruct),
-        seed:
-            preset?.seed === undefined || preset.seed === -1
-                ? Math.floor(Math.random() * 999999)
-                : parseInt(preset.seed),
+        seed: getSeed(preset?.seed),
         guidance_scale: preset.guidance_scale,
         negative_prompt: preset.negative_prompt,
         temperature_last: parseFloat(preset.min_p) !== 1,
@@ -431,6 +446,7 @@ const constructCompletionsPayload = () => {
     const completionsModel = getObject(Global.CompletionsModel)
     const preset = getObject(Global.PresetData)
     const currentInstruct = Instructs.useInstruct.getState().replacedMacros()
+
     return {
         stream: true,
         max_context_length: preset.max_length,
@@ -452,12 +468,9 @@ const constructCompletionsPayload = () => {
         mirostat_tau: preset.mirostat_tau,
         mirostat_eta: preset.mirostat_eta,
         grammar: preset.grammar_string,
-        seed:
-            preset?.seed === undefined || preset.seed === -1
-                ? Math.floor(Math.random() * 999999)
-                : parseInt(preset.seed),
+        seed: getSeed(preset?.seed),
         sampler_order: [6, 0, 1, 3, 4, 2, 5],
-        stop: ['\n\n\n\n\n', currentInstruct.input_prefix],
+        stop: constructStopSequence(currentInstruct),
         frequency_penalty: preset.freq_pen,
         presence_penalty: preset.presence_pen,
         smoothing_factor: preset.smoothing_factor,
@@ -488,26 +501,23 @@ const constructLocalPayload = () => {
         tfs_z: preset.tfs,
         typical_p: preset.typical,
         min_p: preset.min_p,
-        seed: parseInt(preset.seed) ?? -1,
+        seed: getSeed(preset?.seed),
     }
 }
 
 const constructOpenRouterPayload = () => {
     const openRouterModel = getObject(Global.OpenRouterModel)
     const currentInstruct = Instructs.useInstruct.getState().replacedMacros()
     const preset = getObject(Global.PresetData)
-
+    console.log(getSeed(preset.seed))
     return {
         messages: buildChatCompletionContext(openRouterModel.context_length),
         model: openRouterModel.id,
         frequency_penalty: preset.freq_pen,
         max_tokens: preset.genamt,
         presence_penalty: preset.presence_pen,
         response_format: { type: 'json_object' },
-        seed:
-            preset?.seed === undefined || preset.seed === -1
-                ? Math.floor(Math.random() * 999999)
-                : parseInt(preset.seed),
+        seed: getSeed(preset?.seed),
         stop: constructStopSequence(currentInstruct),
         stream: true,
         temperature: preset.temp,
@@ -526,10 +536,7 @@ const constructOpenAIPayload = () => {
         max_tokens: preset.genamt,
         frequency_penalty: preset.freq_pen,
         presence_penalty: preset.presence_pen,
-        seed:
-            preset?.seed === undefined || preset.seed === -1
-                ? Math.floor(Math.random() * 999999)
-                : parseInt(preset.seed),
+        seed: getSeed(preset?.seed),
         stop: constructStopSequence(currentInstruct),
         stream: true,
         temperature: preset.temp,