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Chequebook deployment uses a fixed 175,000 gas limit; it needs about 630,000 under Glamsterdam (live on Sepolia since 2026-10-06)

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Since Oct 8, 2026.

  • #5655 by @sbackend123 — open

Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
85/100
Issue type
Bug
Clarity
Clearly specified
Activity status
Active
Tech stack
go
Domain
blockchain

Research direction

The problematic fixed gas limit is in pkg/settlement/swap/chequebook/factory.go at line 72, used for deploySimpleSwap calls. Start by replacing the fixed 175,000 value with a gas estimation call that uses 175,000 as the minimum floor, matching the pattern from the related fix in the crtahlin/wasp fork. Two other fixed gas limits in pkg/settlement/swap/erc20/erc20.go:82 and pkg/settlement/swap/chequebook/chequebook.go:346 follow the same pattern and may need the same adjustment. Run the chequebook deployment test suite to verify the change works for post-Glamsterdam networks.

Written by the indexing model from the issue text.

Description

Context

Bee master at b19432c30bac0d22979ffc98799eae77fde577a8 (code reviewed, not run as a node). Network: Sepolia testnet, where Glamsterdam has been active since 2026-10-06 13:53:36 UTC. Measured with Foundry cast 1.8.5 against a public Sepolia RPC (geth).

Summary

pkg/settlement/swap/chequebook/factory.go:72 sends the chequebook deployment (deploySimpleSwap) with GasLimit: 175000. A non-zero GasLimit skips estimation. Glamsterdam (EIP-8037) raises CREATE to 183,600 gas, code deposit to 1,530 per byte and a new storage slot to 97,920.

The last chequebook deployment through the testnet factory before the fork used 141,905 of its 175,000 limit. On post-fork Sepolia the same call estimates at 629,945, and an eth_call at 175,000 runs out of gas.

Expected behavior

The chequebook deployment succeeds on Glamsterdam networks: gas is estimated (with the current 175,000 as a floor) rather than fixed.

Actual behavior

The deployment is sent with a fixed 175,000 gas limit. On post-fork Sepolia it needs about 630,000. A newly started swap-enabled node on Sepolia would send the deployment with 175,000 gas and, per the eth_call below, run out of gas. The same will apply on other networks when they adopt Glamsterdam.

Steps to reproduce

Sepolia, testnet factory 0x0fF044F6bB4F684a5A149B46D7eC03ea659F98A1 (from pkg/config/chain.go):

$ cast receipt 0xffe5788fd36d9b5baef11ee13aed913577502450c325b5c12109ddec585be781 --rpc-url https://rpc.sepolia.ethpandaops.io | grep -E 'blockNumber|gasUsed|status'
blockNumber          11849218
gasUsed              141905
status               1 (success)
$ cast tx 0xffe5788fd36d9b5baef11ee13aed913577502450c325b5c12109ddec585be781 gas --rpc-url https://rpc.sepolia.ethpandaops.io
175000
$ cast estimate --rpc-url https://rpc.sepolia.ethpandaops.io --from 0x54ae96b6967f9dc13d6b0ce320764a522376d809 0x0fF044F6bB4F684a5A149B46D7eC03ea659F98A1 'deploySimpleSwap(address,uint256,bytes32)' 0x54ae96b6967f9dc13d6b0ce320764a522376d809 0 0x6838e6e36468d1e308bf9b65e8d82463e51dabf1a7adab89553a311a21601272
629945
$ cast call --rpc-url https://rpc.sepolia.ethpandaops.io --from 0x54ae96b6967f9dc13d6b0ce320764a522376d809 --gas-limit 175000 0x0fF044F6bB4F684a5A149B46D7eC03ea659F98A1 'deploySimpleSwap(address,uint256,bytes32)' 0x54ae96b6967f9dc13d6b0ce320764a522376d809 0 0x6838e6e36468d1e308bf9b65e8d82463e51dabf1a7adab89553a311a21601272
Error: server returned an error response: error code -32003: out of gas

The issuer and salt are random. The call has the same shape as init.go: Deploy(ctx, overlayEthAddress, big.NewInt(0), nonce).

Possible solution

Estimate gas for the deployment, using the current 175,000 as the floor.

Related:

  • The same limit is in the fork crtahlin/wasp (issue #541), fixed there in #546 by estimating gas with the old value as a floor.
  • Two other fixed limits follow the same pattern and were not measured here: pkg/settlement/swap/erc20/erc20.go:82 (90,000) and pkg/settlement/swap/chequebook/chequebook.go:346 (95,000).
AI Disclosure
  • This issue contains suggestions and text generated by an LLM.
  • I have reviewed the AI generated content thoroughly.
  • I possess the technical expertise to responsibly review the AI generated content mentioned in this issue.
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