A BaseChatAgent implementation backed by an OpenAI Assistant. See the OpenAI AI assistant cookbook in the core library for reference. Why is this needed? Assistant is useful single agent abstraction used by many applications. Sign up for free to join this conversation on GitHub. Already have an...
We are deliberately using open source tools. But you can easily use public APIs for embedding generation and question answering. For example, for embedding generation, you can use OpenAI API: Python 1 2 3 4 5 6 def create_embedding(content): # embeddings = model.encode([content], device=...
Once the tools are configured, simply build the agent using the OPENAI_FUNCTIONS type after configuring the llm using the ChatOpenAI() method: from langchain.agentsimportAgentType from langchain.agentsimportinitialize_agent from langchain.chat_modelsimportChatOpenAI llm=ChatOpenAI(model="gpt-3.5-turb...
publicstaticSystem.Threading.Tasks.Task<Microsoft.SemanticKernel.Agents.OpenAI.OpenAIAssistantAgent> CreateAsync (Microsoft.SemanticKernel.Kernel kernel, Microsoft.SemanticKernel.Agents.OpenAI.OpenAIClientProvider clientProvider, Microsoft.SemanticKernel.Agents.OpenAI.OpenAIAssistantDefinition definition, Syst...
OpenAI // name: OpenAI // api_key: your OpenAI apikey // model: the name of your open ai model. Accepted options below // temperature: the temperature used when generating responses between -2 and 2 { "name": "OpenAI", "api_key": "sk-...", "model": "gpt-3.5-turbo", "temper...
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// Get the response from the AI var result = await chatCompletionService.GetChatMessageContentAsync( history, executionSettings: openAIPromptExecutionSettings, kernel: kernel); // Print the results Console.WriteLine("Assistant > " + result); // Add the message from the agent to the chat history...
Tools: Choose from a variety of agent tools (functions called by the LLM), such as: Code Interpreter: Executes Python code in a secure Jupyter notebook environment Artifact Code Generator: Generates code artifacts that can be run in a sandbox ...
People are alreadycallingOpenAI’s marketplace plan a great idea which is said to promote trust, quality, and help incentralisingAI tools in one place. However the scepticism lies in the monetary structure. OpenAI has not disclosed any information on how they would charge the app developers or...
os.environ["OPENAI_API_KEY"]=getpass.getpass("OpenAI API Key:") os.environ["SERPAPI_API_KEY"]=getpass.getpass("Serpapi API Key:") Step 3: Importing Libraries for Building Tools Use the LangChain dependencies to import libraries like Tool, AgentExecutor, BaseSingleActionAgent, etc. libra...