MoonshotAI / MoonshotAI/kimi-cli
会一直出现"用户没有发新消息,系统只是插入了一个空消息" || will always appear "The user did not send a new message, the system just inserted an empty message"
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- Dominant language
- Python
- Stars
- 11.4k
- Forks
- 1.3k
- Avg merge
- 9h 47m
- Merged PRs (30d)
- 2
Description
What version of Kimi Code CLI is running?
kimi, version 1.37.0
Which open platform/subscription were you using?
Kimi For Coding
Which model were you using?
kimi-for-coding
What platform is your computer?
Darwin 24.6.0 arm64 arm
What issue are you seeing?
在思考过程中,毕竟频繁的出现“用户没有发新消息,系统只是插入了一个空消息”,大多是发生在 thinking 的开头
What steps can reproduce the bug?
给 agent 一个任务,在多步骤迭代过程中,就可能在任务最后几步的时候出现。
What is the expected behavior?
No response
Additional information
No response
What version of Kimi Code CLI is running?
kimi, version 1.37.0
Which open platform/subscription were you using?
Kimi For Coding
Which model were you using?
kimi-for-coding
What platform is your computer?
Darwin 24.6.0 arm64 arm
What issue are you seeing?
During the thinking process, after all, "the user did not send a new message, the system just inserted an empty message" frequently appeared, mostly at the beginning of thinking.
What steps can reproduce the bug?
Give the agent a task, and in a multi-step iterative process, it may appear in the last few steps of the task.
What is the expected behavior?
No response
Additional information
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the issue with Kimi Code CLI 1.37.0 on Darwin arm64 using the kimi-for-coding model, following a multi-step iterative agent task. Then trace the CLI handling of messages during the thinking phase, especially near the beginning and final steps. Done means identifying why the empty-message notice appears and preventing the repeated notice without disrupting agent progress.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100