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DSPy is a framework for programming language models rather than relying on static prompts. It enables you to build modular AI systems with code instead of hand-crafted prompting, and it offers methods to automatically optimize these systems. Features
  • Programmatic approach to LLM interactions through Python
  • Modular components for building complex AI pipelines
  • Self-improvement algorithms that optimize prompts and weights
  • Support for various applications from simple classifiers to RAG systems and agent loops

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Installing Libraries

pip install -U dspy
Set your Together AI API key: 
export TOGETHER_API_KEY=***

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Example

Setup and connect DSPy to LLMs on Together AI 
import dspy

# Configure dspy with a LLM from Together AI
lm = dspy.LM(
    "together_ai/togethercomputer/llama-2-70b-chat",
    api_key=os.environ.get("TOGETHER_API_KEY"),
    api_base="https://api.together.xyz/v1",
)

# Now you can call the LLM directly as follows
lm("Say this is a test!", temperature=0.7)  # => ['This is a test!']
lm(
    messages=[{"role": "user", "content": "Say this is a test!"}]
)  # => ['This is a test!']
Now we can set up a DSPy module, like dspy.ReAct with a task-specific signature. For example, question -> answer: float tells the module to take a question and to produce a floating point number answer below. 
# Configure dspy to use the LLM
dspy.configure(lm=lm)


# Gives the agent access to a python interpreter
def evaluate_math(expression: str):
    return dspy.PythonInterpreter({}).execute(expression)


# Gives the agent access to a wikipedia search tool
def search_wikipedia(query: str):

    results = dspy.ColBERTv2(url="http://20.102.90.50:2017/wiki17_abstracts")(
        query, k=3
    )
    return [x["text"] for x in results]


# setup ReAct module with question and math answer signature
react = dspy.ReAct(
    "question -> answer: float",
    tools=[evaluate_math, search_wikipedia],
)

pred = react(
    question="What is 9362158 divided by the year of birth of David Gregory of Kinnairdy castle?"
)

print(pred.answer)

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Next Steps

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DSPy - Together AI Notebook

Learn more about building agents using DSPy with Together AI in our notebook .
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