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Turain Software Pvt. Ltd. > Blog > Blog > TLV Parameters SMPP in Kannel
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TLV Parameters SMPP in Kannel

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Last updated: September 22, 2025 12:21 pm
Tarun Karan
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My SMS service provider asked me to set the below TLV parameters while connecting to him over SMPP: PRICEPOINT (0x1400) PRODUCT (0x1401) PARTNER ROLE ID (0x1402) How to configure the same in Kannel as it is the first time for me using this SMPP client app, I set the below data in Kannel.conf file, but when I pushed/sent a message, the gateway didn’t feel the TLV which I have set. group = smpp-tlv name = PRICEPOINT tag = 0x1400 type = integer length = 4 smsc-id = SMSC01 group = smpp-tlv name = PRODUCT tag = 0x1401 type = integer length = 4 smsc-id = SMSC01 group = smpp-tlv name = PARTNERROLEID tag = 0x1402 type = integer length = 4 smsc-id = SMSC01 You did the right thing with the configuration but what it does is that it simply informs Kannel as to what possible TLV parameters exist for the SMSC. To actually use them, you have to set the values in the sendsms call in a meta-data parameter formatted like this ?smsc-type?key1=value1&key2=value2&key3=value3… You must take into account that when constructing this string, the smsc-type, the keys and the values must be urlencoded, and then the whole resulting string has to be urlencoded again. In your case it would look something like this: http://host:port/cgi-bin/sendsms?username=user&password=password&to=recipientphone&
from=senderphone&text=content&smsc=smsc&meta-data=%3Fsmpp%3FPRICEPOINT%3D1%26PRODUCT%3D2%26PARTNERROLEID%3D3.
The %3Fsmpp%3FPRICEPOINT%3D1%26PRODUCT%3D2%26PARTNERROLEID%3D3 in the example is urlencoded ?smpp?PRICEPOINT=1&PRODUCT=2&PARTNERROLEID=3. Here’s the relevant section in the documentation: http://kannel.org/download/1.4.4/userguide-1.4.4/userguide.html#AEN6370

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ByTarun Karan
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Tarun Karan is a technology writer and digital innovation enthusiast who covers emerging AI tools, automation platforms, and modern no-code workflows. With a strong focus on user-centric storytelling, Tarun simplifies complex concepts and translates them into clear, practical insights for creators, businesses, and learners. His writing aims to help audiences understand how new AI ecosystems—like Google’s experimental platforms—shape the future of productivity and digital creation.
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