Allow sampler seed and full determinism to be read/written in /config

aiserver.py

@@ -9880,6 +9880,60 @@ def put_config_soft_prompt(body: SoftPromptSettingSchema):
         settingschanged()
     return {}
 
+class SamplerSeedSettingSchema(KoboldSchema):
+    value: int = fields.Integer(required=True)
+
+@api_v1.get("/config/sampler_seed")
+@api_schema_wrap
+def get_config_sampler_seed():
+    """---
+    get:
+      summary: Retrieve the current global sampler seed value
+      tags:
+        - config
+      responses:
+        200:
+          description: Successful request
+          content:
+            application/json:
+              schema: SamplerSeedSettingSchema
+              example:
+                value: 3475097509890965500
+    """
+    return {"value": __import__("tpu_mtj_backend").get_rng_seed() if vars.use_colab_tpu else __import__("torch").initial_seed()}
+
+@api_v1.put("/config/sampler_seed")
+@api_schema_wrap
+def put_config_sampler_seed(body: SamplerSeedSettingSchema):
+    """---
+    put:
+      summary: Set the global sampler seed value
+      tags:
+        - config
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema: SamplerSeedSettingSchema
+            example:
+              value: 3475097509890965500
+      responses:
+        200:
+          description: Successful request
+          content:
+            application/json:
+              schema: EmptySchema
+        {api_validation_error_response}
+    """
+    if vars.use_colab_tpu:
+        import tpu_mtj_backend
+        tpu_mtj_backend.set_rng_seed(body.value)
+    else:
+        import torch
+        torch.manual_seed(body.value)
+    vars.seed = body.value
+    return {}
+
 config_endpoint_schemas: List[Type[KoboldSchema]] = []
 
 def config_endpoint_schema(c: Type[KoboldSchema]):
@@ -10087,6 +10141,16 @@ class SamplerOrderSettingSchema(KoboldSchema):
         name = "sampler order"
         example_yaml_value = "[6, 0, 1, 2, 3, 4, 5]"
 
+@config_endpoint_schema
+class SamplerFullDeterminismSettingSchema(KoboldSchema):
+    value = fields.Boolean(required=True)
+    class KoboldMeta:
+        route_name = "sampler_full_determinism"
+        obj = "vars"
+        var_name = "full_determinism"
+        name = "sampler full determinism"
+        example_yaml_value = "false"
+
 
 for schema in config_endpoint_schemas:
     create_config_endpoint(schema=schema.__name__, method="GET")