| # Licensed to the Apache Software Foundation (ASF) under one | |
| # or more contributor license agreements. See the NOTICE file | |
| # distributed with this work for additional information | |
| # regarding copyright ownership. The ASF licenses this file | |
| # to you under the Apache License, Version 2.0 (the | |
| # "License"); you may not use this file except in compliance | |
| # with the License. You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, | |
| # software distributed under the License is distributed on an | |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| # KIND, either express or implied. See the License for the | |
| # specific language governing permissions and limitations | |
| # under the License. | |
| from haystack.components.builders import PromptBuilder | |
| from haystack.components.embedders import OpenAITextEmbedder | |
| from haystack.components.generators import OpenAIGenerator | |
| from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever | |
| from haystack.document_stores.in_memory import InMemoryDocumentStore | |
| from burr.core import ApplicationBuilder, State, action | |
| from burr.integrations.haystack import HaystackAction | |
| @action(reads=["answer"], writes=[]) | |
| def display_answer(state: State) -> State: | |
| print(state["answer"]) | |
| return state | |
| def build_application(): | |
| embed_text = HaystackAction( | |
| component=OpenAITextEmbedder(model="text-embedding-3-small"), | |
| name="embed_text", | |
| reads=[], | |
| writes={"query_embedding": "embedding"}, | |
| ) | |
| retrieve_documents = HaystackAction( | |
| component=InMemoryEmbeddingRetriever(InMemoryDocumentStore()), | |
| name="retrieve_documents", | |
| reads=["query_embedding"], | |
| writes=["documents"], | |
| ) | |
| build_prompt = HaystackAction( | |
| component=PromptBuilder(template="Document: {{documents}} Question: {{question}}"), | |
| name="build_prompt", | |
| reads=["documents"], | |
| writes={"question_prompt": "prompt"}, | |
| ) | |
| generate_answer = HaystackAction( | |
| component=OpenAIGenerator(model="gpt-4o-mini"), | |
| name="generate_answer", | |
| reads={"prompt": "question_prompt"}, | |
| writes={"answer": "replies"}, | |
| ) | |
| return ( | |
| ApplicationBuilder() | |
| .with_actions( | |
| embed_text, | |
| retrieve_documents, | |
| build_prompt, | |
| generate_answer, | |
| display_answer, | |
| ) | |
| .with_transitions( | |
| ("embed_text", "retrieve_documents"), | |
| ("retrieve_documents", "build_prompt"), | |
| ("build_prompt", "generate_answer"), | |
| ("generate_answer", "display_answer"), | |
| ) | |
| .with_entrypoint("embed_text") | |
| .build() | |
| ) | |
| if __name__ == "__main__": | |
| import os | |
| os.environ["OPENAI_API_KEY"] = "sk-..." | |
| app = build_application() | |
| _, _, state = app.run( | |
| halt_after=["display_answer"], | |
| inputs={ | |
| "text": "What is the capital of France?", | |
| "question": "What is the capital of France?", | |
| }, | |
| ) | |
| app.visualize(include_state=True) |