Tanssi provides .txt files containing the documentation content and navigation structure, optimized for use with large language models (LLMs) and AI tools. These resources help build AI assistants, power code search, or enable custom tooling trained on Tanssi’s documentation.
Each category file includes foundational content from the Basics and Reference categories to ensure LLMs have the necessary context.
Navigation index of all Tanssi documentation pages
llms.txt
Full Documentation
Full content of all documentation pages
llms-full.txt
Basics
Tanssi's framework, architecture, and core components to help form overall general knowledge base
llms-basics.txt
Reference
Reference material including network endpoints, JSON RPC methods, and contract or token addresses
llms-reference.txt
Appchain
How to launch and manage an appchain through the dApp or the developer portal
llms-appchain.txt
Custom Runtime
Customize your appchain runtime
llms-custom-runtime.txt
EVM Template
Use the EVM template for launching complete Ethereum-compatible appchains and know their associated tooling (wallet, integrations, etc.)
llms-evm-template.txt
Substrate Template
Use the baseline Substrate template and associated tooling (wallets, integrations, etc.) for launching appchains
llms-substrate-template.txt
Operators
How to set up and run a node to secure the Tanssi ecosystem
llms-operators.txt
Sequencers
How to run a sequencer to provide appchains with block production services
llms-sequencers.txt
Note
The llms-full.txt file may exceed the input limits of some language models due to its size. If you encounter limitations, consider using the files by category.