feat: openai default model uses gpt-4o-mini (#1526)

embedchain/docs/api-reference/advanced/configuration.mdx

@@ -20,7 +20,7 @@ app:
 llm:
   provider: openai
   config:
-    model: 'gpt-3.5-turbo'
+    model: 'gpt-4o-mini'
     temperature: 0.5
     max_tokens: 1000
     top_p: 1
@@ -82,7 +82,7 @@ cache:
   "llm": {
     "provider": "openai",
     "config": {
-      "model": "gpt-3.5-turbo",
+      "model": "gpt-4o-mini",
       "temperature": 0.5,
       "max_tokens": 1000,
       "top_p": 1,
@@ -140,7 +140,7 @@ config = {
     'llm': {
         'provider': 'openai',
         'config': {
-            'model': 'gpt-3.5-turbo',
+            'model': 'gpt-4o-mini',
             'temperature': 0.5,
             'max_tokens': 1000,
             'top_p': 1,
@@ -206,7 +206,7 @@ Alright, let's dive into what each key means in the yaml config above:
 2. `llm` Section:
     - `provider` (String): The provider for the language model, which is set to 'openai'. You can find the full list of llm providers in [our docs](/components/llms).
     - `config`:
-        - `model` (String): The specific model being used, 'gpt-3.5-turbo'.
+        - `model` (String): The specific model being used, 'gpt-4o-mini'.
         - `temperature` (Float): Controls the randomness of the model's output. A higher value (closer to 1) makes the output more random.
         - `max_tokens` (Integer): Controls how many tokens are used in the response.
         - `top_p` (Float): Controls the diversity of word selection. A higher value (closer to 1) makes word selection more diverse.

embedchain/docs/components/llms.mdx

@@ -62,7 +62,7 @@ app = App.from_config(config_path="config.yaml")
 llm:
   provider: openai
   config:
-    model: 'gpt-3.5-turbo'
+    model: 'gpt-4o-mini'
     temperature: 0.5
     max_tokens: 1000
     top_p: 1
@@ -205,7 +205,7 @@ app = App.from_config(config_path="config.yaml")
 llm:
   provider: azure_openai
   config:
-    model: gpt-3.5-turbo
+    model: gpt-4o-mini
     deployment_name: your_llm_deployment_name
     temperature: 0.5
     max_tokens: 1000
@@ -887,7 +887,7 @@ response = app.chat("Which companies did Elon Musk found?")
 llm:
   provider: openai
   config:
-    model: gpt-3.5-turbo
+    model: gpt-4o-mini
     temperature: 0.5
     max_tokens: 1000
     token_usage: true

embedchain/docs/examples/rest-api/create.mdx

@@ -32,7 +32,7 @@ app:
 llm:
   provider: openai
   config:
-    model: "gpt-3.5-turbo"
+    model: "gpt-4o-mini"
     temperature: 0.5
     max_tokens: 1000
     top_p: 1

embedchain/docs/get-started/faq.mdx

@@ -122,7 +122,7 @@ You can achieve this by setting `stream` to `true` in the config file.
 llm:
   provider: openai
   config:
-    model: 'gpt-3.5-turbo'
+    model: 'gpt-4o-mini'
     temperature: 0.5
     max_tokens: 1000
     top_p: 1