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Troubleshooting

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Troubleshooting

Use this page to isolate where a failure lives. Start with the smallest surface that proves the most: local CLI first, then gateway, then WebUI or chat apps.

Fast Diagnosis Order

Run these in order:

bash
nanobot --version
nanobot status
nanobot agent -m "Hello!"

Then, only if the CLI works:

bash
nanobot gateway

This separates failures into layers:

LayerWhat it proves
nanobot --versionInstall and shell command discovery
nanobot statusConfig path, workspace path, active model, and provider summary
nanobot agent -m "Hello!"Config loading, provider/model access, workspace writes, and agent loop
nanobot gatewayChannel startup, cron system jobs, heartbeat, WebUI/WebSocket, and health endpoint

If nanobot agent -m "Hello!" fails, fix that before debugging WebUI, Telegram, Discord, Docker, systemd, or any chat app.

How to Read nanobot status

nanobot status does not call a model. It only checks whether nanobot can find the default config, default workspace, active model or preset, and provider setup summary.

The output has this shape:

text
nanobot Status

Config: /path/to/config.json ✓
Workspace: /path/to/workspace ✓
Model: provider/model-name (preset: primary)
Provider A: not set
Provider B: ✓
Local Provider: ✓ http://localhost:11434/v1
OAuth Provider: ✓ (OAuth)

Read it like this:

LineGood signWhat to do if it looks wrong
ConfigIt points to the config file you meant to use and shows .Run nanobot onboard, or pass --config to nanobot agent, gateway, or serve when testing a non-default instance.
WorkspaceIt points to the workspace you meant to use and shows .Run nanobot onboard, create the folder, fix permissions, or pass --workspace on commands that support it.
ModelIt shows the active model or the preset name you expect.Set agents.defaults.modelPreset to the intended preset, or check /model if you changed models during a chat session.
Provider rowsThe provider used by the active preset shows , an OAuth marker, or a local URL.Configure only the active provider first. It is normal for unused providers to say not set.

If nanobot status looks right but nanobot agent -m "Hello!" fails, the install and config paths are probably fine. Continue with Provider and Model Problems.

Installation Problems

Use the same Python command for install checks and module fallback. On macOS/Linux that may be python3; on Windows it may be python or py.

SymptomCheck
python: command not foundTry python3 --version on macOS/Linux or py --version on Windows. Then replace python in docs commands with the command that worked.
curl: command not foundThe macOS/Linux one-command installer could not download the script. Install curl, or use a manual isolated install such as uv tool install nanobot-ai or pipx install nanobot-ai.
irm is not recognizedPowerShell could not run the download helper. Use manual install: uv tool install nanobot-ai, pipx install nanobot-ai, or py -m pip install nanobot-ai inside an environment you control.
Could not download raw.githubusercontent.comYour network, proxy, or firewall blocked the installer script download. Use manual install from PyPI, or configure your proxy and rerun the command.
nanobot: command not foundUse the module form, for example python -m nanobot ..., python3 -m nanobot ..., or py -m nanobot .... Reinstall with the same Python command, or add that Python's scripts directory to PATH.
No module named nanobotYou are running a different Python than the one used for installation. Run python -m pip show nanobot-ai, python3 -m pip show nanobot-ai, or py -m pip show nanobot-ai, matching the command that installed nanobot.
pip is not availableWhen the installer uses a virtual environment, it tries python -m ensurepip --upgrade. If that fails, install pip for that Python, or use a Python installer/distribution that includes pip.
externally-managed-environmentYour system Python blocks global pip installs. Use the one-command installer, uv tool install nanobot-ai, pipx install nanobot-ai, or create a virtual environment; do not add --break-system-packages for nanobot.
Installer chose the wrong PythonSet PYTHON before running the installer, such as `curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh
Editable source install does not updateFrom the repo root, run python -m pip install -e . again with the Python command used for development, then check python -m nanobot --version or nanobot --version.
WebUI build tools missingThey are only needed for WebUI development. Packaged installs already include the WebUI bundle.

Config Problems

Default config path:

text
~/.nanobot/config.json

Default workspace path:

text
~/.nanobot/workspace/

nanobot status reads the default config. Use explicit paths on commands that support them when debugging multiple instances:

bash
nanobot agent --config ./bot-a/config.json --workspace ./bot-a/workspace -m "Hello"
nanobot gateway --config ./bot-a/config.json --workspace ./bot-a/workspace

Common config mistakes:

SymptomCheck
JSON parse errorValidate commas, braces, and quotes. Most docs examples are partial snippets to merge.
Unknown or missing providerUse provider registry names such as openrouter, anthropic, openai, ollama, vllm, lm_studio, or define a custom OpenAI-compatible provider key under providers and reference that exact key from the active preset.
snake_case vs camelCase confusionBoth are accepted, but docs use camelCase because nanobot writes config with aliases such as apiKey, modelPresets, intervalS.
Environment variable error${VAR_NAME} references are resolved at startup. Set the variable before running nanobot.
Edited config but behavior did not changeRestart nanobot gateway; long-running processes read config at startup.

To refresh missing defaults without overwriting existing settings, run:

bash
nanobot onboard

When prompted about overwriting the config, choose the option that keeps current values and merges missing defaults.

Provider and Model Problems

First prove the provider in the CLI:

bash
nanobot agent -m "Hello!"

Then compare your config against providers.md.

If you need a known-good snippet instead of diagnosis, use provider-cookbook.md.

SymptomLikely cause
401, unauthorized, invalid API keyKey is missing, expired, pasted with whitespace, or under the wrong provider key.
Model not foundThe model ID belongs to a different provider or gateway.
Provider cannot be inferredPin modelPresets.<name>.provider in the active preset instead of using "auto". For legacy direct configs, pin agents.defaults.provider.
Local model connection refusedOllama, vLLM, LM Studio, or another local server is not running, or apiBase points to the wrong port.
Bedrock validation errorCheck AWS region, credentials, model access, model ID, and whether the model supports Converse.
OAuth provider failsRun nanobot provider login openai-codex or nanobot provider login github-copilot, then select the provider explicitly.

Langfuse Problems

Langfuse tracing is optional and controlled by environment variables.

SymptomCheck
LANGFUSE_SECRET_KEY is set but langfuse is not installedInstall langfuse in the same Python environment that runs nanobot, then restart the process.
No traces appearSet LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, and LANGFUSE_BASE_URL before starting nanobot.
Wrong Langfuse project or regionCheck that the key pair and LANGFUSE_BASE_URL come from the same Langfuse project/region.
Only some providers traceLangfuse tracing applies to OpenAI-compatible provider calls; native providers may not use that client path.

See configuration.md#langfuse-observability for setup commands.

Gateway Problems

nanobot gateway is required for WebUI, chat apps, heartbeat, Dream, and long-running channel connections.

Default ports:

SurfaceDefault
Gateway health endpointhttp://127.0.0.1:18790/health
WebUI/WebSocket channelhttp://127.0.0.1:8765
OpenAI-compatible API (nanobot serve)http://127.0.0.1:8900

Common gateway checks:

bash
nanobot gateway --verbose
SymptomCheck
Port already in useChange gateway.port, channels.websocket.port, or the --port CLI flag for the relevant command.
WebUI opened on 18790 but shows nothing usefulOpen 8765; 18790 is the health endpoint.
Config changes ignoredRestart the gateway.
Heartbeat never runsKeep the gateway running, add tasks under <workspace>/HEARTBEAT.md -> ## Active Tasks, and make sure gateway.heartbeat.enabled is true.
Cron jobs disappeared after switching workspacesCron jobs are workspace-scoped at <workspace>/cron/jobs.json; check you are using the intended workspace.

WebUI Problems

The packaged WebUI is served by the WebSocket channel.

Minimal config:

json
{
  "channels": {
    "websocket": {
      "enabled": true
    }
  }
}

Then run:

bash
nanobot gateway

Open:

text
http://127.0.0.1:8765

If accessing from another device, bind the WebSocket channel to 0.0.0.0 and set token or tokenIssueSecret. The WebSocket channel refuses public binds without a token or token issue secret.

See webui.md#lan-access for LAN setup and ../webui/README.md for frontend development.

Chat App Problems

Before debugging a chat app:

bash
nanobot agent -m "Hello!"
nanobot channels status
nanobot gateway

Then check:

SymptomCheck
Bot never repliesGateway is not running, the channel is not enabled, or the bot/app token is wrong.
Unknown sender ignoredConfigure allowFrom, pairing, or the channel-specific allow list.
Telegram failsConfirm the BotFather token and allowFrom user ID.
Discord replies missingEnable Message Content intent and invite the bot with the required permissions.
WhatsApp or WeChat login expiredRe-run nanobot channels login whatsapp or nanobot channels login weixin.
Chat app works but WebUI does notThe provider and gateway are likely fine; debug the WebSocket channel separately.

See chat-apps.md for channel-specific setup.

Tool and Workspace Problems

SymptomCheck
File access deniedCheck tools.restrictToWorkspace and whether the target path is inside the active workspace.
Shell commands fail in DockerSandbox settings may need Linux capabilities; see deployment.md.
Web fetch blockedSSRF protection blocks unsafe targets; use tools.ssrfWhitelist only for trusted private networks.
MCP tools missingCheck tools.mcpServers, server startup command, environment variables, and tool allow list.
Generated artifacts are missingCheck the active workspace and channel media directory.

Memory and Session Problems

SymptomCheck
Conversation context seems wrongConfirm the active workspace and session. WebUI chats and chat app threads may use different sessions.
Memory does not update immediatelyDream consolidation is periodic; recent turns still live in session history.
Old sessions appear after moving configSession files are stored under <workspace>/sessions/; verify the workspace path.
You want one shared session across devicesSet agents.defaults.unifiedSession intentionally; otherwise keep separate sessions.

Collect Useful Evidence

When opening an issue or asking for help, include:

  • install method and nanobot --version;
  • operating system and Python version;
  • the command you ran;
  • relevant nanobot status output;
  • sanitized config snippets, especially provider, model, channel, and tool settings;
  • gateway logs from nanobot gateway --verbose;
  • whether nanobot agent -m "Hello!" works.

Never paste real API keys, bot tokens, OAuth tokens, or private chat IDs into public issues.

If you find a docs mistake, outdated command, or confusing step, please open an issue: https://github.com/HKUDS/nanobot/issues.