213454 Shock Absorber 22-1/2" Long 88mm OD
SKU: 95438403057

213454 Shock Absorber 22-1/2" Long 88mm OD

Sale price$112.45 Regular price$124.95
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Description

213454 Shock Absorber 22-1/2" Long 88mm ODPart details DESCRIPTION Shock Absorber 22 1 2" Long 88mm OD CONDITION Used PART NUMBER 213454 OTHER OEM PART NUMBERS THAT WILL WORK , 092650 R1 Function of this part The brake system uses air pressure, valves, and mechanical components to slow and stop the vehicle safely. It may include foot valves, relay valves, ABS components, calipers, drums, and rotors. Why this part matters Brake components are safety critical. Reliable braking hardware is

Part details

DESCRIPTION Shock Absorber 22-1/2" Long 88mm OD
CONDITION Used
PART NUMBER 213454
OTHER OEM PART NUMBERS THAT WILL WORK , 092650 R1

Function of this part

The brake system uses air pressure, valves, and mechanical components to slow and stop the vehicle safely. It may include foot valves, relay valves, ABS components, calipers, drums, and rotors.

Why this part matters

Brake components are safety-critical. Reliable braking hardware is essential for meeting DOT requirements and protecting drivers, cargo, and other road users.

About the brand

Second Truck Parts components are commonly used in commercial truck and equipment applications where dependable performance and proper fit are important.

Fitment & usage

Used OEM parts are a smart choice for controlling repair costs while still using original-equipment components. Always match the OEM part number(s) listed to your existing part, and consult your service manual, dealer, or technician if you are unsure about fitment.

Note: Because this is a used component, normal signs of wear such as scratches, discoloration, or light surface corrosion may be present. Refer to the product photos and information on Second Truck Parts for the best representation of the part you will receive.

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SKU: 95438403057

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David Escobar
Cuba, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
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Filipe Fernandes
Natrona Heights, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
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Eddwin Paz
Cuba, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Cuba, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Birmingham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025

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