read ft config

litellm/proxy/proxy_config.yaml

@@ -25,6 +25,27 @@ model_list:
       api_key: "os.environ/OPENAI_API_KEY"
     model_info:
       mode: audio_speech
+
+# For /fine_tuning/jobs endpoints
+finetune_settings:
+  - custom_llm_provider: azure
+    api_base: https://exampleopenaiendpoint-production.up.railway.app/
+    api_key: fake-key
+    api_version: "2023-03-15-preview"
+  - custom_llm_provider: openai
+    api_key: fake-key
+
+# for /files endpoints
+files_settings:
+  - custom_llm_provider: azure
+    api_base: https://exampleopenaiendpoint-production.up.railway.app/
+    api_key: fake-key
+    api_version: "2023-03-15-preview"
+  - custom_llm_provider: openai
+    api_key: fake-key
+
+
+
 general_settings: 
   master_key: sk-1234
 

litellm/proxy/proxy_server.py

@@ -154,6 +154,7 @@ from litellm.proxy.common_utils.openai_endpoint_utils import (
     remove_sensitive_info_from_deployment,
 )
 from litellm.proxy.fine_tuning_endpoints.endpoints import router as fine_tuning_router
+from litellm.proxy.fine_tuning_endpoints.endpoints import set_fine_tuning_config
 from litellm.proxy.guardrails.init_guardrails import initialize_guardrails
 from litellm.proxy.health_check import perform_health_check
 from litellm.proxy.health_endpoints._health_endpoints import router as health_router
@@ -1808,6 +1809,13 @@ class ProxyConfig:
                     assistant_settings["litellm_params"][k] = v
             assistants_config = AssistantsTypedDict(**assistant_settings)  # type: ignore
 
+        ## /fine_tuning/jobs endpoints config
+        finetuning_config = config.get("finetune_settings", None)
+        set_fine_tuning_config(config=finetuning_config)
+
+        ## /files endpoint config
+        files_config = config.get("files_settings", None)
+
         ## ROUTER SETTINGS (e.g. routing_strategy, ...)
         router_settings = config.get("router_settings", None)
         if router_settings and isinstance(router_settings, dict):