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Configuration
Michael Elliott edited this page Mar 14, 2026
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Config file: ~/.titan/titan.json
{
"agent": { "model": "anthropic/claude-sonnet-4-20250514" },
"gateway": { "port": 48420, "auth": { "mode": "password", "password": "your-password" } }
}| Variable | Purpose |
|---|---|
ANTHROPIC_API_KEY |
Claude API key |
OPENAI_API_KEY |
GPT API key |
GOOGLE_API_KEY |
Gemini API key |
OLLAMA_BASE_URL |
Ollama server URL |
GROQ_API_KEY |
Groq API key |
MISTRAL_API_KEY |
Mistral API key |
OPENROUTER_API_KEY |
OpenRouter API key |
FIREWORKS_API_KEY |
Fireworks AI key |
XAI_API_KEY |
xAI (Grok) key |
TOGETHER_API_KEY |
Together AI key |
DEEPSEEK_API_KEY |
DeepSeek key |
CEREBRAS_API_KEY |
Cerebras key |
COHERE_API_KEY |
Cohere key |
PERPLEXITY_API_KEY |
Perplexity key |
GITHUB_TOKEN |
GitHub PAT |
GMAIL_ADDRESS / GMAIL_APP_PASSWORD
|
|
HOME_ASSISTANT_URL / HOME_ASSISTANT_TOKEN
|
Smart home |
GOOGLE_CALENDAR_API_KEY |
Calendar |
DISCORD_TOKEN / TELEGRAM_TOKEN / SLACK_TOKEN
|
Channels |
LIVEKIT_URL / LIVEKIT_API_KEY / LIVEKIT_API_SECRET
|
LiveKit voice |
CAPSOLVER_API_KEY |
CapSolver CAPTCHA solving |
X_API_KEY / X_API_SECRET / X_ACCESS_TOKEN / X_ACCESS_SECRET
|
X/Twitter |
{ "agent": { "modelAliases": { "fast": "openai/gpt-4o-mini", "smart": "anthropic/claude-sonnet-4-20250514" } } }Use: /model fast or titan model --alias fast openai/gpt-4o-mini
{ "providers": { "anthropic": { "apiKey": "primary", "profiles": [{ "apiKey": "backup1" }] } } }Auto-rotates on errors with 60s cooldown.
{ "agent": { "allowedModels": ["anthropic/*", "openai/gpt-4o"] } }{
"agent": {
"fallbackChain": [
"anthropic/claude-sonnet-4-20250514",
"openai/gpt-4o",
"ollama/devstral-small-2"
],
"fallbackSelfHeal": true
}
}Automatic failover through the chain on provider errors. Self-heal retries the primary after recovery.
{
"autopilot": {
"enabled": true,
"mode": "goals",
"schedule": "*/30 * * * *",
"maxActionsPerRun": 5
}
}Modes: goals (work toward defined goals), checklist (execute task list), self-improve (evaluate and improve own performance).
{
"agent": {
"autonomy": {
"mode": "supervised",
"selfInitiative": true,
"goalManagement": true,
"maxConcurrentGoals": 5
}
}
}{
"training": {
"enabled": true,
"baseModel": "qwen3.5:35b",
"method": "lora",
"backend": "unsloth",
"exportFormat": "gguf",
"ollamaAutoImport": true,
"dualPipeline": true
}
}Dual pipelines: Tool Router (classify tool calls) and Main Agent (general fine-tuning).
{
"selfImprovement": {
"enabled": true,
"evalSchedule": "0 3 * * *",
"judge": "anthropic/claude-sonnet-4-20250514",
"autoresearch": true
}
}{
"browsing": {
"poolSize": 3,
"headless": true,
"timeout": 30000
},
"captcha": {
"provider": "capsolver",
"apiKey": "YOUR_CAPSOLVER_KEY",
"autoSolve": true
}
}{
"metrics": {
"enabled": true,
"port": 9090,
"path": "/metrics"
}
}Exposes request counts, latencies, token usage, provider health, and skill execution metrics.
{
"contextEngine": {
"plugins": ["memory-graph", "rag-search", "briefing"],
"maxContextTokens": 8000
}
}Plugins inject relevant context before each LLM call.