FP Manajemen Insiden - Kelompok 5

App Design

First, startup the backend as described in the backend README.

Second, run the development server of the frontend as described in the frontend README.

Create .env from .env.example template

# 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-3.5-turbo

# 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=YOUR_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=3

# The time in milliseconds to wait for the stream to return a response.
STREAM_TIMEOUT=60000

# FILESERVER_URL_PREFIX is the URL prefix of the server storing the images generated by the interpreter.
FILESERVER_URL_PREFIX=http://localhost:8000/api/files

# The system prompt for the AI model.
SYSTEM_PROMPT=You are a helpful assistant who helps users with their questions.

Alternative LLM Models

• OpenAI Alternative models
  • https://platform.openai.com/docs/models
• Gemini API
  • https://aistudio.google.com/app/apikey