Dspy openai 1-8B-Instruct', max_tokens=3000) gpt4o = dspy. This is not DSPy prompt optimization as it is normally used, but it is a good example of how to use multimodal DSPy. OpenAI's text-embedding-3-small) via litellm integration; Custom embedding functions that you provide; For hosted models, simply pass the model name as a string (e. configure(lm=lm) Install dependencies and download data ¶ To do the retrieval, we'll use the cool BM25S library, as it's pretty lightweight. The goal here is education, and to explore how one might build agents from scratch in DSPy. OpenAI(api_base = openai. However, if you install old version before OpenAI changed their API openai~=0. 4. current is >1 : pip install -U openai. While different options are available, this example demonstrates how to utilize OpenAI embeddings specifically. This class provides a unified interface for both: Hosted embedding models (e. DSPy utilizes the logging library to print logs. MIPROv2, 2 and building datasets for your modules and using them to finetune the LM weights in your Dec 29, 2024 · DSPy is my go-to framework for its simplicity and thoughtful design. ChainOfThought。 后者的定义是为了实现我们的 GenerateAnswer 签名。 forward 方法将描述使用现有模块回答问题的控制流： 给定问题后，我们将搜索前 3 个相关段落，然后将其作为生成答案的上下文。 import dspy turbo = dspy. , "openai/text-embedding-3 May 7, 2024 · GPT-4 is a large language model (LLM) created by OpenAI that attempts to predict the most likely tokens (fragments of encoded data) in a sequence. Here’s a brief overview of the system components: DSPy Framework: Serves as the core for language model interactions, offering advanced NLP capabilities. A future upgrade would be to create a dataset of initial, final prompts to optimize the prompt generation. The first step in any DSPy code is to set up your language model. you’re way behind on your openai version for that code. 6. k (int, optional): The number of top passages to retrieve Mar 18, 2024 · Note: We will also have to create an . May 21, 2024 · @edmald Within the dspy modules, dsp>modules>azure_openai. The embedding function should take a list of text strings as input and output a list of embeddings. It provides: Composable and declarative APIs that allow developers to describe the architecture of their LLM application in the form of a "module" (inspired by PyTorch's nn. from_csv( f"cmrc2018_sampled. They are the building blocks of prompt programming in DSPy. Either openai_client or embedding_func must be provided. Replace "YOUR_API_KEY" with your OpenAI API key before running Aug 15, 2024 · 想知道如何实现 DSPy 和 LangChain 的无缝集成吗？本文将深入探讨这一话题，从多个方面解析两者的结合方式，并通过实践示例展示如何使用 DSPy 优化 LCEL。 This full-stack application combines the DSPy Framework with OpenAI, Cohere, Arize Phoenix, and Weaviate DB in a cohesive ecosystem. DSPy is a framework that systematically optimizes language model prompts and weights, making it easier to build and refine complex systems with LMs by automating the tuning process and improving reliability. LM ("openai/gpt-4o-mini", api_key = "API_KEY") # デフォルトで利用するグローバルな設定 dspy. 0. DSPy simplifies this process by using signatures, which define structured input-output mappings. settings. Ideal for NLP professionals seeking efficiency and high performance in their AI workflows. File metadata Mar 11, 2024 · llm = dspy. Reload to refresh your session. You can easily swap this out for other providers or local models . I was recommended to use OpenAI endpoint Mar 17, 2024 · Hopefully the new LM backend will allow us to make better use of models that are trained for "Chat". Concise Code: Create capable AI Agents in just 40 lines 2. 0+ Streaming is also supported in DSPy 2. configure ( lm = turbo ) Now that we have the LM client setup it's time to import the train-dev split in GSM8k class that DSPy provides us: Jun 12, 2024 · I am trying to use langchain's implementation of OpenAI instead of dspy's llm = OpenAI(model_name=model_name) #llm = dspy. Parameter Optimization: DSPy then uses methods like random search, TPE, or Optuna to select the best candidate. However, you should check the latest documentation for the most up-to-date information on model compatibility. Training a prompt requires quite a number of calls which means 99% you will experience a timeout. Dec 24, 2024 · lm = dspy. 5-turbo"): # 1,2 signatureの宣言とModuleの宣言 classify = dspy. Discover its features, advantages, and how to master it! With the resounding success of AI chatbots such as ChatGPT , artificial intelligence and natural language processing (NLP) are experiencing a significant boom. Benefits of Using DSPy. Programming—not prompting—LMs. 5-turbo',api_key=openai_key, max_tokens=300) When using DSPy, keep in mind that LLM responses are Mar 6, 2025 · In this example, we’ll use DSPy to build a question-answering (QA) system that retrieves relevant documents and generates accurate answers. Defaults to "text-embedding-ada-002". retrieve. Here, we tell DSPy to use OpenAI's gpt-4o-mini model in our program. LM ( model = 'openai/gpt-3. Streaming, in DSPy 2. 참고로, 모든 LLM 호출은 기본적으로 캐시됩니다. When using mlflow. The current max_time is hard-coded as part of the Backoff decorator and set to Apr 30, 2024 · dspy 是一个专门用于算法优化语言模型（lm）提示和权重的框架，特别适用于在管道中多次使用 lm 的情况。将问题分解为多个步骤逐步优化每个步骤的提示，直到它们单独运行良好调整这些步骤以确保它们协同工作生成合成示例来微调每个步骤使用这些示例微调较小的 lm 以降低成本目前，这个过程既 安装完成后，用户需要告诉 DSPy 使用 OpenAI 的模型。在此示例中，我们将使用 gpt-4o-mini。要进行身份验证，DSPy 将查找用户的 OPENAI_API_KEY。用户可以根据需要替换为其他提供商或本地模型。 以下是配置 DSPy 环境的代码示例： May 5, 2024 · Alternatively, you can use dspy. Both are supported. g. configure (lm = lm) # 以下のコンテキストではgpt-3. 1', ) # This sets the language model for DSPy. To authenticate, DSPy reads your OPENAI_API_KEY . 5-turbo' , max_tokens = 250 ) dspy . LM('openai/gpt-4o') dspy. LM('openai/gpt-4o', max_tokens=3000) dspy. Jul 17, 2024 · import dspy from dspy. If not created the Oct 24, 2023 · Signatures. modules. 在上面的代码中，首先通过环境变量设置了 OpenAI 的 API 密钥。然后，创建了一个语言模型对象 lm，并将其配置为 DSPy 的默认模型。 不同的语言模型. It allows you to iterate fast on building modular AI systems and offers algorithms for optimizing their prompts and weights, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops. configure You can then call the LM directly with a raw prompt string, but the recommended way is to use DSPy modules and signatures which provide a more structured way to interact with Jun 13, 2024 · DSPy가 체계적인 언어 모델 최적화를 통해 AI 프로젝트를 어떻게 변화시킬 수 있는지 알아보세요. Let’s dive in to see what they are about! Signatures: Specification of input/output OpenAI (model = 'gpt-3. `sentence` (str) Your output fields are: 1. By the end of this tutorial, we will Aug 30, 2024 · DSPy is a framework dedicated to the development of applications based on large language models like OpenAI GPT or Anthropic Claude. You signed out in another tab or window. If you want to debug your DSPy code, set the logging level to DEBUG with the example code below. GPT-4o-mini is a lightweight version of OpenAI’s GPT-4o model, making it cost-efficient for experimentation. DSPy is the framework for programming—rather than prompting—language models. Set Verbose Level. retrieve. [[ ## sentence ## ]] {sentence} [[ ## label ## ]] {label} # note: the Prerequisites. csv", fields=("question Let's tell DSPy that we will use OpenAI's gpt-4o-mini in our modules. Aug 20, 2024 · OpenAI 的 API 规范已俨然成为行业的标杆，很多 API 供应商、第三方代理商都兼容了 OpenAI SDK（比如国内知名的 DeepSeek），一些开源项目在设计及实现时也都会考虑并遵守这一点。 dspy 确实尝试兼容了 OpenAI 的 API 规范，但在实现上却不够彻底。 Jan 8, 2025 · DSPy program¶. DSPy是斯坦福大学自然语言处理实验室开发的一个开源框架,旨在为基础模型提供一种新的编程范式,取代传统的提示工程方法。 Feb 15, 2024 · AttributeError: module 'dspy' has no attribute 'OpenAI' The text was updated successfully, but these errors were encountered: All reactions. Setting up the ChromadbRM Client The constructor initializes an instance of the ChromadbRM class, with the option to use OpenAI's embeddings or any alternative supported by chromadb, as detailed in the official chromadb embeddings Jun 13, 2024 · 了解 dspy 如何通过系统语言模型优化转变您的 ai 项目。逐步学习如何使用 dspy 构建、优化和评估强大的 ai 系统。非常适合寻求 ai 工作流程效率和高性能的 nlp 专业人士。 Feb 6, 2017 · File details. It unifies techniques for prompting and fine-tuning LMs — and approaches for reasoning, self-improvement, and augmentation with retrieval and tools. Jan 27, 2024 · Configuring a language model from OpenAI is as simple as this: llm = dspy. One of the key concepts in DSPy is the Signature. Feb 6, 2016 · Different optimizers in DSPy will tune your program's quality by synthesizing good few-shot examples for every module, like dspy. pip install dspy-ai. It can be used to craft computer code and analyze Jan 29, 2024 · oof. We will build a text classifier leveraging OpenAI. 5-turbo model to simulate prompting tasks within Aug 1, 2024 · dspy 是一个框架，旨在将程序流程与每个步骤的参数（如 llm 提示和权重）分离开来。 这种模块化的设计思路使得开发者可以以更高的可靠性和可预测性构建复杂的 ai 系统。 DSPy embedding class. This is achieved 有人说大语言模型的提示语是一个特别重要的工作，我曾认为提示语是中间产物，未来提示语应该可以自动的生成符合需求的提示语，而发现DSPy就是做的这个工作。 DSPy 是一个用于算法优化da大语言模提示和权重的框架，特别是 Apr 2, 2024 · DSPy, with its “declarative” approach to instructing LLMs that favors programming over prompting, has quickly gained a lot of interest in the community. Dec 25, 2024 · import dspy lm = dspy. To authenticate, DSPy will look into your OPENAI_API_KEY. DSPy. MIPROv2 (Multiprompt Instruction PRoposal Optimizer Version 2) is an prompt optimizer capable of optimizing both instructions and few-shot examples jointly. Under the hood, MLflow uses cloudpickle to serialize the DSPy object, but some DSPy artifacts are note serializable. OpenAI(model='gpt-4-0125-preview', api_key=api_key, max_tokens = 4096) DSPy abstracts prompts, enabling algorithmic optimization as part of the overall pipeline. Nov 9, 2024 · 底层prompt及响应： System message: Your input fields are: 1. This defines the input and output of the LLM, Signatures are defined in a way reminescent of building PyTorch networks. Leveraging OpenAI Nov 23, 2024 · Next, we’ll create a basic DSPy predictor using OpenAI’s GPT-4o-mini. Learn step-by-step to build, optimize, and evaluate powerful AI systems using DSPy. Feb 12, 2024 · younes-io changed the title Using DSPy with Azure OpenAI fails Using DSPy with Azure OpenAI fails (when openai >= 1. Dec 6, 2024 · You can run models locally through systems like ollama or huggingface or you can run them using an API if you're using OpenAI's ChatGPT or GPT-4. zcanurnvsmfyfasowzmoqzwptaxeqmwrmcaybncqvoldwrtdzwrnafbtegqwriojbqvsa