Troubleshooting: Configuration

YAML Parse Errors

"Configuration parse failed"

The YAML file has a syntax error. Common causes:

• Indentation mismatch. YAML is whitespace-sensitive. Use spaces, not tabs. Each nesting level should be exactly 2 spaces.
• Unquoted special characters. Values containing :, #, {, }, [, ], or & must be quoted.
• Missing colon after key. Every key needs a : (colon followed by a space).

Validate your YAML:

triggerfish config validate

Or use an online YAML validator to find the exact line.

"Configuration file did not parse to an object"

The YAML file parsed successfully but the result is not a YAML mapping (object). This happens if your file contains only a scalar value, a list, or is empty.

Your triggerfish.yaml must have a top-level mapping. At minimum:

models:
  primary:
    provider: anthropic
    model: claude-sonnet-4-20250514
  providers:
    anthropic:
      model: claude-sonnet-4-20250514
      apiKey: "secret:provider:anthropic:apiKey"

"Configuration file not found"

Triggerfish looks for config at these paths, in order:

1. $TRIGGERFISH_CONFIG environment variable (if set)
2. $TRIGGERFISH_DATA_DIR/triggerfish.yaml (if TRIGGERFISH_DATA_DIR is set)
3. /data/triggerfish.yaml (Docker environments)
4. ~/.triggerfish/triggerfish.yaml (default)

Run the setup wizard to create one:

triggerfish dive

---

Validation Errors

"Configuration validation failed"

This means the YAML parsed but failed structural validation. Specific messages:

"models is required" or "models.primary is required"

The models section is mandatory. You need at least a primary provider and model:

models:
  primary:
    provider: anthropic
    model: claude-sonnet-4-20250514

"primary.provider must be non-empty" or "primary.model must be non-empty"

The primary field must have both provider and model set to non-empty strings.

"Invalid classification level" in classification_models

Valid levels are: RESTRICTED, CONFIDENTIAL, INTERNAL, PUBLIC. These are case-sensitive. Check your classification_models keys.

---

Secret Reference Errors

Secret not resolved at startup

If your config contains secret:some-key and that key does not exist in the keychain, the daemon exits with an error like:

Secret resolution failed: key "provider:anthropic:apiKey" not found

Fix:

# List what secrets exist
triggerfish config get-secret --list

# Store the missing secret
triggerfish config set-secret provider:anthropic:apiKey sk-ant-...

Secret backend not available

On Linux, the secret store uses secret-tool (libsecret / GNOME Keyring). If the Secret Service D-Bus interface is not available (headless servers, minimal containers), you will see errors when storing or retrieving secrets.

Workaround for headless Linux:

1. Install gnome-keyring and libsecret:

   # Debian/Ubuntu
   sudo apt install gnome-keyring libsecret-tools
   
   # Fedora
   sudo dnf install gnome-keyring libsecret

2. Start the keyring daemon:

   eval $(gnome-keyring-daemon --start --components=secrets)
   export GNOME_KEYRING_CONTROL

3. Or use the encrypted file fallback by setting:

   export TRIGGERFISH_SECRETS_MEMORY_FALLBACK=true

   Note: memory fallback means secrets are lost on restart. It is only suitable for testing.

---

Config Value Issues

Boolean coercion

When using triggerfish config set, string values "true" and "false" are automatically converted to YAML booleans. If you actually need the literal string "true", edit the YAML file directly.

Similarly, strings that look like integers ("8080") are coerced to numbers.

Dotted path syntax

The config set and config get commands use dotted paths to navigate nested YAML:

triggerfish config set models.primary.provider openai
triggerfish config get channels.telegram.ownerId
triggerfish config set scheduler.trigger.interval "30m"

If a path segment contains a dot, there is no escape syntax. Edit the YAML file directly.

Secret masking in config get

When you run triggerfish config get on a key containing "key", "secret", or "token", the output is masked: ****...**** with only the first and last 4 characters visible. This is intentional. Use triggerfish config get-secret <key> to retrieve the actual value.

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Config Backups

Triggerfish creates a timestamped backup in ~/.triggerfish/backups/ before every config set, config add-channel, or config add-plugin operation. Up to 10 backups are retained.

To restore a backup:

ls ~/.triggerfish/backups/
cp ~/.triggerfish/backups/triggerfish.yaml.2026-02-15T10-30-00Z ~/.triggerfish/triggerfish.yaml
triggerfish stop && triggerfish start

---

Provider Verification

The setup wizard verifies API keys by calling each provider's model-listing endpoint (which does not consume tokens). The verification endpoints are:

Provider	Endpoint
Anthropic	https://api.anthropic.com/v1/models
OpenAI	https://api.openai.com/v1/models
Google	https://generativelanguage.googleapis.com/v1beta/models
Fireworks	https://api.fireworks.ai/v1/accounts/fireworks/models
OpenRouter	https://openrouter.ai/api/v1/models
ZenMux	https://zenmux.ai/api/v1/models
Z.AI	https://api.z.ai/api/coding/paas/v4/models
Ollama	http://localhost:11434/v1/models
LM Studio	http://localhost:1234/v1/models

If verification fails, double-check:

• The API key is correct and not expired
• The endpoint is reachable from your network
• For local providers (Ollama, LM Studio), the server is actually running

Model not found

If verification succeeds but the model is not found, the wizard warns you. This usually means:

• Typo in the model name. Check the provider's docs for exact model IDs.
• Ollama model not pulled. Run ollama pull <model> first.
• Provider does not list the model. Some providers (Fireworks) use different naming formats. The wizard normalizes common patterns, but unusual model IDs may not match.