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  <titleInfo>
    <title>AI agents in action</title>
  </titleInfo>
  <name type="personal">
    <namePart>Lanham, Micheal</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Manning Publications</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxii, 317 p.</extent>
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  <abstract>In AI Agents in Action, you'll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You'll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you'll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI</abstract>
  <note type="statement of responsibility">Micheal Lanham</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Agent platform</topic>
  </subject>
  <subject>
    <topic>Agent memory</topic>
  </subject>
  <subject>
    <topic>Agent planning</topic>
  </subject>
  <classification authority="ddc">006.3 LAN-A</classification>
  <identifier type="isbn">9781633436343</identifier>
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    <recordCreationDate encoding="marc">260804</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260804161734.0</recordChangeDate>
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