AI Coding Tool Status Line Configuration: From Script to Verification

    This article explains how to configure a status line for AI coding tools, from selecting fields to validating the final implementation. It covers the stdin JSON input model, Python and Bash rendering examples, graceful degradation, single-line and width constraints, color handling, security checks, performance targets, cross-platform issues, troubleshooting, and a final acceptance checklist.

    AI Coding Tool Status Line Configuration: From Script to Verification

    Conclusion first: five steps in about 15 minutes

    A status line is not UI decoration. It is a single-line text channel triggered by the tool and rendered by an external script. The practical implementation path has five steps:

    1. Choose the fields and define their priority (no more than six).
    2. Capture one real stdin sample.
    3. Write the script: read stdin -> parse -> compute -> output one line.
    4. Point statusLine to the script in the configuration file and run chmod +x.
    5. Verify it with a checklist: fault tolerance, length, performance, security, and fallback behavior.

    If all five items pass, the status line can remain stable over time. If any item is missing, problems will later appear as empty output, garbled text, missing fields, or terminal lag.

    1. Decide which fields to show and which to omit

    Status line space is limited. Too much information reduces readability. Fill in the table below before writing code.

    Field Data source Priority Truncation rule Display example
    Current directory workspace.dir P0 Keep the last 2 levels, <= 28 characters app/api
    Context usage percentage context P0 Integer percentage ctx=21%
    Model name assistant.model P1 <= 12 characters; ellipsis if longer example-l…
    Deep-thinking toggle flags.thinking P1 Short label think=on
    Agent/subtask state flags.agent P1 Short label agent=sub
    Interaction mode session.mode P2 <= 8 characters plan
    Input/output tokens context P2 Convert thousands to K/M 42.0K/3.1K
    Window capacity context.window_tokens P3 Convert to K/M 200.0K
    Session ID session.id P4 Hidden by default; shown for debugging a1b2c3

    The two P0 items must be retained on narrow terminals. The remaining fields should be dropped from low priority to high priority according to available width. Information such as reasoning effort and project name is worth showing only when the terminal width is greater than 100 columns.

    2. Configuration entry and execution model

    Most tools expose a configuration item named statusLine whose value is an executable command. On each refresh, the tool writes the current session context to the script’s standard input as JSON, reads the first line of the script’s standard output, and renders it in the terminal.

    Configuration example:

    1. {
    2. "statusLine": {
    3. "type": "command",
    4. "command": "python3 ~/.config/agentcli/statusline.py",
    5. "padding": 0
    6. }
    7. }

    Implementation steps:

    1. mkdir -p ~/.config/agentcli
    2. # Put the script at ~/.config/agentcli/statusline.py
    3. chmod +x ~/.config/agentcli/statusline.py
    4. # Test offline before connecting it to the tool
    5. echo '{"workspace":{"dir":"/srv/app/api"}}' | python3 ~/.config/agentcli/statusline.py

    Three hard constraints: output only one line, read the full input from stdin, and keep exit code 0. Some tools treat a non-zero exit code as rendering failure and fall back to the built-in status line. They may also display stderr to the user. Therefore, do not use a non-zero exit code for recoverable situations such as missing data.

    3. Input sample and graceful degradation

    Illustrative input structure. Field names vary by tool; use the actual fields provided by your tool.

    1. {
    2. "session": {"id": "s-8f2c", "mode": "plan"},
    3. "workspace": {"name": "demo", "dir": "/srv/app/api"},
    4. "assistant": {"model": "example-large-128k", "effort": "high"},
    5. "context": {"input_tokens": 42000, "output_tokens": 3100, "window_tokens": 200000},
    6. "flags": {"thinking": true, "agent": "none"}
    7. }

    Normal output: plan example-l… /app/api ctx=21% 42.0K/3.1K think=on

    Each exception type should have a matching degraded output:

    Exception Detection condition Degraded output Exit code
    Empty stdin raw.strip() == "" Status line: waiting for data 0
    Parse failure JSON raises an exception or root node is not an object Status line: parse failed · /srv/app/api (keep cwd as fallback) 0
    Missing field Key does not exist model=unknown dir=/srv/app/api ctx=? 0
    Type error context is a string, null, or negative value Ratio segment falls back to ctx=?; other segments still render 0
    Control characters or newlines Value contains \n, \r, \t, or C0 control characters Cleaned to spaces to keep a single line 0

    Key principle: always output one usable line, rather than exiting with an error, failing silently, or outputting multiple lines.

    4. Ready-to-run Python 3 example script

    1. #!/usr/bin/env python3
    2. # -*- coding: utf-8 -*-
    3. """Terminal status line renderer: read JSON from stdin -> output one line to stdout."""
    4. import json
    5. import os
    6. import shutil
    7. import sys
    8. import time
    9. USE_COLOR = os.environ.get("STATUSLINE_COLOR", "auto") != "off"
    10. DEBUG = os.environ.get("STATUSLINE_DEBUG") == "1"
    11. RESET, DIM, OK, WARN, ERR = "\033[0m", "\033[2m", "\033[36m", "\033[33m", "\033[31m"
    12. def log(msg):
    13. if not DEBUG:
    14. return
    15. try:
    16. with open(os.environ.get("STATUSLINE_LOG", "/tmp/statusline.log"), "a",
    17. encoding="utf-8") as fh:
    18. fh.write("%.3f %s\n" % (time.time(), msg))
    19. except OSError:
    20. pass
    21. def paint(text, color):
    22. return "%s%s%s" % (color, text, RESET) if USE_COLOR else text
    23. def sanitize(value, default="unknown"):
    24. """Clean a value into single-line safe text: drop C0/C1 control chars and escape residue."""
    25. if isinstance(value, bool):
    26. value = "on" if value else "off"
    27. if isinstance(value, (int, float)):
    28. return str(value)
    29. if not isinstance(value, str):
    30. return default
    31. cleaned = "".join(ch for ch in value if ch == " " or 32 <= ord(ch) < 127 or ord(ch) > 159)
    32. cleaned = " ".join(cleaned.replace("\x1b", "").split())
    33. return cleaned or default
    34. def truncate(text, limit):
    35. text = str(text)
    36. return text if limit <= 1 or len(text) <= limit else text[: limit - 1] + "…"
    37. def short_path(path, levels=2, limit=28):
    38. norm = os.path.normpath(str(path or "")).replace("\\", "/")
    39. parts = [p for p in norm.split("/") if p and p != "."]
    40. return truncate("/".join(parts[-levels:]) if parts else norm, limit)
    41. def fmt_tokens(n):
    42. if isinstance(n, bool) or not isinstance(n, (int, float)) or n < 0:
    43. return "?"
    44. if n < 1000:
    45. return "%d" % n
    46. if n < 1000000:
    47. return "%.1fK" % (n / 1000.0)
    48. return "%.1fM" % (n / 1000000.0)
    49. def ratio(ctx):
    50. """Return (integer percentage or None, used tokens or None)."""
    51. if not isinstance(ctx, dict):
    52. return None, None
    53. try:
    54. used = int(ctx.get("input_tokens") or 0) + int(ctx.get("output_tokens") or 0)
    55. window = int(ctx.get("window_tokens") or 0)
    56. except (TypeError, ValueError):
    57. return None, None
    58. if window <= 0:
    59. return None, used
    60. return int(used * 100 // window), used
    61. def build(segments):
    62. """Drop segments from low to high priority based on terminal width, keeping one line."""
    63. cols = shutil.get_terminal_size(fallback=(120, 24)).columns
    64. limit = int(os.environ.get("STATUSLINE_MAX_LEN", min(160, max(40, cols - 2))))
    65. keep = list(segments) # already ordered from high to low priority
    66. while keep and len(" ".join(s[1] for s in keep)) > limit:
    67. dropped = keep.pop()
    68. log("dropped segment: %s" % dropped[0])
    69. return " ".join(s[1] for s in keep)[:limit]
    70. def render(data):
    71. get = lambda *keys: next((data[k] for k in keys if isinstance(data.get(k), dict)), {})
    72. sess, ws, ast_, ctx, flags = get("session"), get("workspace"), get("assistant"), get("context"), get("flags")
    73. pct, used = ratio(ctx)
    74. pct_text = "ctx=%s%%" % pct if pct is not None else "ctx=?"
    75. if pct is None:
    76. pct_color = DIM
    77. elif pct >= 90:
    78. pct_color = ERR
    79. elif pct >= 70:
    80. pct_color = WARN
    81. else:
    82. pct_color = OK
    83. segments = [
    84. ("dir", paint(sanitize(ws.get("dir"), os.getcwd()), OK)),
    85. ("pct", paint(pct_text, pct_color)),
    86. ("model", sanitize(ast_.get("model"))[:12]),
    87. ("think", "think=" + sanitize(flags.get("thinking"), "off")),
    88. ]
    89. if sanitize(flags.get("agent"), "none") != "none":
    90. segments.append(("agent", "agent=" + sanitize(flags.get("agent"))))
    91. if ast_.get("effort"):
    92. segments.append(("effort", sanitize(ast_.get("effort"))))
    93. if used is not None:
    94. segments.append(("tokens", "%s/%s" % (fmt_tokens(ctx.get("input_tokens")),
    95. fmt_tokens(ctx.get("output_tokens")))))
    96. if sess.get("mode"):
    97. segments.append(("mode", sanitize(sess.get("mode"))[:8]))
    98. if DEBUG and sess.get("id"):
    99. segments.append(("sid", DIM + truncate(sanitize(sess.get("id")), 8) + RESET))
    100. return build(segments)
    101. def main():
    102. try:
    103. raw = sys.stdin.read()
    104. except Exception as exc: # still output a line even if reading fails
    105. log("stdin error: %r" % exc)
    106. print("Status line: waiting for data")
    107. return 0
    108. if not raw.strip():
    109. print("Status line: waiting for data")
    110. return 0
    111. try:
    112. data = json.loads(raw)
    113. if not isinstance(data, dict):
    114. raise ValueError("root is not object")
    115. except Exception as exc:
    116. log("parse failed: %r" % exc)
    117. print("Status line: parse failed · %s" % short_path(os.getcwd()))
    118. return 0
    119. try:
    120. line = render(data)
    121. except Exception as exc: # fallback: never print traceback to terminal
    122. log("render failed: %r" % exc)
    123. line = "Status line: render fallback · %s" % short_path(os.getcwd())
    124. sys.stdout.write(line.replace("\n", " ") + "\n")
    125. return 0
    126. if __name__ == "__main__":
    127. sys.exit(main())

    Exit code convention: 0 means “displayable text has been produced,” including all degradation branches. A non-zero exit may occur only if the script file itself is not executable or the interpreter is missing. In that case, the tool’s default status line takes over automatically.

    Minimal Bash version when Python is unavailable. It can work, but it is not recommended for long-term use because string processing is fragile:

    1. #!/usr/bin/env bash
    2. input="$(cat)"
    3. [ -z "$input" ] && { printf 'Status line: waiting for data\n'; exit 0; }
    4. model="$(printf '%s' "$input" | grep -o '"model"[[:space:]]*:[[:space:]]*"[^"]*"' | head -n1 | sed 's/.*"\([^"]*\)"$/\1/')"
    5. printf 'Status line: %s · %s\n' "${model:-unknown}" "$(basename "$PWD")"
    6. exit 0

    5. Single-line output, length control, and color toggles

    Length and truncation rules should be implemented in the script, not judged visually:

    • Total length limit: by default min(160, terminal columns - 2), overridable with STATUSLINE_MAX_LEN.
    • Width detection: use shutil.get_terminal_size() (equivalent to tput cols at the lower level). Do not hardcode 80 columns.
    • When the limit is exceeded, drop segments from right to left (lower priority first). Do not drop the P0 dir or ctx fields.
    • Per-field limits: directory 28 characters / 2 levels, model name 12 characters, mode 8 characters, session ID 8 characters in debug mode.
    • Before output, normalize all newlines with replace("\n", " ") to prevent multiple lines from breaking terminal layout.

    Color has three states:

    • STATUSLINE_COLOR=off: force plain text for CI logs, redirection, and terminals without color.
    • auto (default): use tput colors to detect support. If it returns -1 or a value below 8, disable color automatically.
    • Keep only three semantic levels: normal (cyan), warning >= 70% (yellow), danger >= 90% (red). Use \033[2m for auxiliary information.

    6. Security and permissions checklist

    The status line is called automatically and frequently by the tool. Treat it with least privilege. Check each item:

    • Restrict script permissions to chmod 750 and ensure the owner is the current user, preventing replacement by other users.
    • Read only necessary inputs (stdin and environment variables). Do not read credential files such as ~/.ssh, ~/.aws, or .env.
    • Filter newline characters, \r, \t, C0/C1 control characters, and \x1b escape sequences to prevent terminal escape injection.
    • Do not execute external commands such as git, curl, or npm. Do not make network requests or start background processes.
    • Do not write session data to disk. If caching is required, write only to a self-owned subdirectory under /tmp and do not store sensitive fields.
    • Normalize paths with os.path.normpath() to prevent path concatenation issues and separator errors.
    • Add a timeout wrapper at the calling layer: timeout 0.5 python3 ~/.config/agentcli/statusline.py.
    • Move complex statistics (token audits, cost accounting) to asynchronous pre-generated caches. The script should only read the cache.

    7. Performance and refresh strategy

    The execution time budget for a status line should be kept within 50 ms. Once it exceeds 200 ms, users may notice lag.

    • Cache key design: key = sha1(session.id + model + mode + dir + output_tokens)[:8], stored at /tmp/statusline-cache/<key>.json, with a default TTL of 5 seconds.
    • Cache only slow-changing fields (model name mapping tables, project names, path shortening results). The ctx ratio can be computed each time; it only requires two integer additions and one integer division.
    • Refresh threshold: if the token count changes by less than 2%, reuse the previous percentage to avoid unnecessary redraws caused by number jitter.
    • Timeout strategy: apply an outer timeout 0.5 and do not leave room for network or subprocess calls inside the script.
    • Measurement: run time (echo "$SAMPLE" | python3 statusline.py >/dev/null) 20 consecutive times and take p95.

    8. Cross-platform behavior and degradation

    • Color: detect before coloring. If detection fails, output plain text.
    • Paths: normalize with os.path.normpath() and display using /. Do not hardcode \ or drive letters. On Windows, both C:\a\b and /a/b can be correctly reduced to the last two levels.
    • Encoding: declare UTF-8 in the first line of the script and use explicit encoding="utf-8" for reads and writes. Verify whether locale charmap is UTF-8.
    • Width: if tput cols returns a narrow value such as 40 columns, keep only dir + ctx.

    9. Troubleshooting: from symptom to root cause

    What if the status line does not appear at all?

    Run the following in order. Any failed step helps identify the layer:

    1. ls -l ~/.config/agentcli/statusline.py # 1. File exists and is executable
    2. python3 -c "import json,sys;print(sys.version)" # 2. Interpreter is available
    3. echo '{"workspace":{"dir":"/srv/app/api"}}' \
    4. | python3 ~/.config/agentcli/statusline.py; echo "exit=$?" # 3. stdin pipeline
    5. grep -rn "statusLine" ~/.config/agentcli/settings.json # 4. Configuration points to the script

    If all four checks pass but there is still no output, check whether the tool requires restarting the session or whether the configuration item only takes effect in a new session.

    What if Chinese characters or colors become garbled or appear as squares?

    1. locale charmap # Expect UTF-8
    2. printf 'é' | iconv -f UTF-8 -t UTF-8 >/dev/null && echo utf8-ok
    3. tput colors # -1 means color is unsupported
    4. STATUSLINE_COLOR=off python3 statusline.py <<< '{"assistant":{"model":"example-model"}}'

    Garbled text is usually caused by “input is UTF-8 but the script reads it as ASCII” or “forcing \033[ output on a terminal without color support.” For color issues, use STATUSLINE_COLOR=off to narrow down the cause.

    How do you diagnose missing fields or incorrect values?

    1. STATUSLINE_DEBUG=1 STATUSLINE_LOG=/tmp/statusline.log python3 statusline.py < sample.json
    2. cat /tmp/statusline.log # Check dropped segment / parse failed records

    If the log contains dropped segment: model, the issue is width-based dropping rather than missing data. If it contains parse failed, the field names passed by the tool may differ from your assumed structure. In that case, compare the real structure with python3 -m json.tool < sample.json and add alias keys in the get() helper inside render().

    What if refresh is too slow or the terminal lags?

    1. time (for i in $(seq 20); do python3 statusline.py < sample.json >/dev/null; done)

    If p95 exceeds 200 ms, check in order: whether subprocess or network calls are used, whether paths and mapping tables are recomputed on every refresh, and whether an outer timeout 0.5 protection is missing.

    General troubleshooting flow: first make the script output fixed text to confirm the call chain, then parse fields to confirm the data, and finally add color and formatting to confirm display. Remove layers one by one.

    10. One-page acceptance checklist

    • Key fields (directory, context ratio, model) display stably. After 30 minutes of continuous use, there are no blank outputs or crashes.
    • Empty input, parse failure, missing field, and type error all produce degraded output. The exit code remains 0.
    • Output is always a single line. In both 120-column and 40-column terminals, it does not wrap and does not truncate P0 fields.
    • STATUSLINE_COLOR=off outputs plain text. When tput colors returns -1, no escape sequences remain.
    • p95 time is below 200 ms. There are no subprocesses or network requests in the call chain.
    • Script permissions are 750, credentials are not read, session data is not written, and an outer timeout exists.
    • Troubleshooting commands and debug logs are reproducible. The script is under version control and field definitions are documented.

    The value of status line configuration is not in stacking fields, but in stably and cheaply converting tool runtime state into readable information. Around five principles—clear fields, robust parsing, readable display, safe execution, and continuous maintenance—use the script and checklist above to turn each principle into verifiable actions. This small configuration can then become a long-term reusable development efficiency asset.