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