MoonshotAI / MoonshotAI/kimi-code

Feature request: track incoming/outgoing tokens per session in Kimi vis, /status, and context status line

Open
#874 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
TypeScript
Stars
7.5k
Forks
1.2k
Avg merge
11h 53m
Merged PRs (30d)
350

Description

It would be very useful to see a per-session breakdown of token consumption, split into incoming (input/prompt/context) and outgoing (output/completion) tokens.

Where this information should be available:

  1. Kimi vis — show input/output token counters alongside the existing visual context map.
  2. /status command — add lines such as:
    tokens (session): 145.2k in / 38.7k out
    tokens (turn):    12.4k in / 3.1k out
    
  3. Context status line — optionally display the counters next to the context usage indicator, e.g.:
    context: 66.8% (175.1k/262.1k) | tokens: 145.2k in / 38.7k out
    
Why this helps
  • Users can quickly understand whether they are running out of context because of large file reads, tool outputs, or because the model is generating long responses.
  • It makes it easier to optimize workflows and decide when to compact, restart, or switch to a model with a larger context window.
Suggested data to expose
  • session_tokens_in / session_tokens_out — cumulative since the session started.
  • turn_tokens_in / turn_tokens_out — for the current agent turn.
  • Ideally also model/tokenizer-aware numbers when the provider reports them.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing the existing context usage data and display paths for Kimi vis, the /status command, and the context status line. Then inspect how provider-reported token counts could map to session and turn totals. Done means the requested input/output counters are available on all three surfaces, with model-aware values used when reported.

Written by the indexing model from the issue text.

Assessment

Tech stack
typescript
Domain
cli
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
52/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.