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Sequential Chaining In Langchain






Purpose







Example


from langchain_core.prompts import PromptTemplatefrom langchain_openai import ChatOpenAI# LLMllm = ChatOpenAI(    api_key="your_api_key",    model="gpt-4.1-mini",    temperature=0.7)# Prompt 1prompt1 = PromptTemplate.from_template(    "Generate a blog topic about {idea}")# Prompt 2prompt2 = PromptTemplate.from_template(    "Write an outline for this topic: {topic}")# Chain 1chain1 = prompt1 | llm# Chain 2chain2 = prompt2 | llm# Combine chains manuallytopic_result = chain1.invoke({    "idea": "Artificial Intelligence"})topic = topic_result.contentoutline_result = chain2.invoke({    "topic": topic})print(outline_result.content)



Output


Picture showing





Posted By  -  Karan Gupta
 
Posted On  -  Thursday, May 14, 2026

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