Update default configuration functions by register_default

docs/depractated/howto/use-a-custom-llm.mdx

@@ -15,7 +15,7 @@ import requests
 default_prompt = "Please write a joke about {subject}"
 
 url = "https://<api-server-url>/generate"
-ag.config.default(prompt=default_prompt,
+ag.config.register_default(prompt=default_prompt,
                   temperature=0.8)
 
 @ag.entrypoint
@@ -31,7 +31,7 @@ def generate(subject:str)->str:
 
 The above code is a simple LLM app that generates jokes about a given subject, using a vLLM hosted model. It is structured as follows:
 
-`ag.config.default` sets the default values for the configuration of the LLM application. In this example, the default prompt is "Please write a joke about {subject}", and the temperature is set at 0.8.
+`ag.config.register_default` sets the default values for the configuration of the LLM application. In this example, the default prompt is "Please write a joke about {subject}", and the temperature is set at 0.8.
 
 The `@ag.entrypoint` decorator marks the function that will be called. The function `generate` accepts a subject as input and returns a joke as output. It calls the vLLM hosted model using the requests library.
 

docs/developer_guides/sdk/config_datatypes.mdx

@@ -12,7 +12,7 @@ There are multiple data types that can be used for the parameters in the configu
 This display a text area widget in the playground. 
 
 ```python
-agenta.config.default(prompt_system = ag.TextParam("You are an expert in geography."),
+agenta.config.register_default(prompt_system = ag.TextParam("You are an expert in geography."),
                       prompt_user = ag.TextParam("What is the capital of {country}?"))
 ``` 
 
@@ -21,7 +21,7 @@ agenta.config.default(prompt_system = ag.TextParam("You are an expert in geograp
 This displays a slider widget in the playground with a step 1 (integers). 
 
 ```python
-agenta.config.default(intval1 = ag.IntParam(default=1, minval=0, maxval=2),
+agenta.config.register_default(intval1 = ag.IntParam(default=1, minval=0, maxval=2),
                       intval2 = ag.IntParam(1)
 ```
 
@@ -31,7 +31,7 @@ This displays a slider widget in the playground with a step 0.1 (float).
 
 
 ```python
-agenta.config.default(temperature = ag.IntParam(default=0.5, minval=0, maxval=2),
+agenta.config.register_default(temperature = ag.IntParam(default=0.5, minval=0, maxval=2),
                       temperature2 = ag.IntParam(0.5)
 ```
 
@@ -41,7 +41,7 @@ This displays a binary switch in the playground.
 
 
 ```python
-agenta.config.default(temperature = ag.IntParam(default=0.5, minval=0, maxval=2),
+agenta.config.register_default(temperature = ag.IntParam(default=0.5, minval=0, maxval=2),
                       force_json = BinaryParam())
 ```
 

docs/developer_guides/sdk/config_default.mdx

@@ -1,22 +1,27 @@
 ---
-title: "config.default()"
+title: "config.register_default()"
 description: "Register the default configuration for your application"
 ---
 
-`agenta.config.default(**kwargs)`
+```python
+agenta.config.register_default(**kwargs)
+#alias
+agenta.config.default(**kwargs)
+```
+```
 
 Set the default configuration for your variant. For instance if you set 
 
 ```python
-agenta.config.default(prompt = ag.TextParam("Hello world"))
+agenta.config.register_default(prompt = ag.TextParam("Hello world"))
 ```
 
 This will set the default value of the prompt to "Hello World". This means that the default configuration (the configuration in the variant variant_name.default) will have the value "Hello World".
 
-agenta.config.default should be used to set the parameters that you are planning to test and iterate on in the playground. For instance if your application has two different prompts in addition to temperature, you might want to use the following:
+agenta.config.register_default should be used to set the parameters that you are planning to test and iterate on in the playground. For instance if your application has two different prompts in addition to temperature, you might want to use the following:
 
 ```python
-agenta.config.default(prompt1 = ag.TextParam("my prompt1"),
+agenta.config.register_default(prompt1 = ag.TextParam("my prompt1"),
                       prompt2 = ag.TextParam("my prompt2"),
                       temperature = ag.FloatParam(0.5),
                       temperature2 = ag.FloatParam(0.5))

docs/developer_guides/sdk/quick_start.mdx

@@ -8,7 +8,7 @@ The agenta SDK allows you to experiment with AI applications with LLMs (and in t
 The most commenly used functions are:
 
 - `agenta.init` - initialize your variant
-- `agenta.config.default` - set the default configuration
+- `agenta.config.register_default` - set the default configuration
 
 
 

docs/developer_guides/tutorials/build-rag-application.mdx

@@ -264,7 +264,7 @@ from llama_index.llms import OpenAI
 from llama_index.text_splitter import TokenTextSplitter
 
 ag.init()
-ag.config.default(
+ag.config.register_default(
     chunk_size=ag.IntParam(1024, 256, 4096),
     chunk_overlap=ag.IntParam(20, 0, 100),
     temperature=ag.IntParam(0.9, 0.0, 1.0),

docs/developer_guides/tutorials/deploy-mistral-model.mdx

@@ -39,7 +39,7 @@ API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-v0.1
 headers = {"Authorization": "Bearer [Your_Token]"}
 
 ag.init()
-ag.config.default(
+ag.config.register_default(
     prompt_template=ag.TextParam("Summarize the following text: {text}"),
 )
 
@@ -116,7 +116,7 @@ agenta variant serve app.py
    headers = {"Authorization": f"Bearer [Your_Token]"}
 
    ag.init()
-   ag.config.default(
+   ag.config.register_default(
        prompt_template=ag.TextParam("Summarize the following text: {text}")
    )
 

docs/developer_guides/tutorials/first-app-with-langchain.mdx

@@ -92,7 +92,7 @@ default_prompt = """
     startup idea: {startup_idea}"""
 
 ag.init()
-ag.config.default(prompt_template=default_prompt, temperature=0.5)
+ag.config.register_default(prompt_template=default_prompt, temperature=0.5)
 
 @ag.entrypoint
 def generate(
@@ -113,7 +113,7 @@ Let's examine how we modified the original code.
 
 ```python
 ag.init()
-ag.config.default(prompt_template=ag.TextParam(default_prompt), temperature=ag.FloatParam(0.5))
+ag.config.register_default(prompt_template=ag.TextParam(default_prompt), temperature=ag.FloatParam(0.5))
 ```
 
 These two lines initialize agenta, then set a default configuration for the app.