docs: env template (#6)

* docs: env template

* env developement

.env.development

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+# The Llama Cloud API key.
+# LLAMA_CLOUD_API_KEY=
+
+# The provider for the AI models to use.
+MODEL_PROVIDER=openai
+
+# The name of LLM model to use.
+MODEL=gpt-4o-mini
+
+# Name of the embedding model to use.
+EMBEDDING_MODEL=text-embedding-3-large
+
+# Dimension of the embedding model to use.
+EMBEDDING_DIM=1024
+
+# The questions to help users get started (multi-line).
+# CONVERSATION_STARTERS=
+
+# The OpenAI API key to use.
+OPENAI_API_KEY=
+
+# Temperature for sampling from the model.
+# LLM_TEMPERATURE=
+
+# Maximum number of tokens to generate.
+# LLM_MAX_TOKENS=
+
+# The number of similar embeddings to return when retrieving documents.
+# TOP_K=
+
+# The directory to store the local storage cache.
+# STORAGE_CACHE_DIR=.cache
+
+# FILESERVER_URL_PREFIX is the URL prefix of the server storing the images generated by the interpreter.
+FILESERVER_URL_PREFIX=http://localhost:3000/api/files
+
+# Customize prompt to generate the next question suggestions based on the conversation history.
+# Disable this prompt to disable the next question suggestions feature.
+NEXT_QUESTION_PROMPT="You're a helpful assistant! Your task is to suggest the next question that user might ask. 
+Here is the conversation history
+---------------------
+{conversation}
+---------------------
+Given the conversation history, please give me 3 questions that you might ask next!
+Your answer should be wrapped in three sticks which follows the following format:
+```
+<question 1>
+<question 2>
+<question 3>
+```"
+
+# The system prompt for the AI model.
+SYSTEM_PROMPT="You are a DuckDuckGo search agent. 
+You can use the duckduckgo search tool to get information from the web to answer user questions.
+For better results, you can specify the region parameter to get results from a specific region but it's optional.
+"
+