First Version
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server:
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host: 127.0.0.1
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port: 6000
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# ── Global timezone ─────────────────────────────────────────────────────────────
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# IANA timezone name applied globally to:
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# - cron expression evaluation (next_run_at computation)
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# - the date/time string injected into the LLM context each turn
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# When omitted, the server's local system timezone is used.
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# Examples: Europe/Rome, Europe/London, America/New_York, Asia/Tokyo
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#
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# timezone: Europe/Rome
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# ────────────────────────────────────────────────────────────────────────────────
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web:
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static_dir: ./web
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# The database lives at ./database/system.db — fixed, not configurable.
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# ── LLM clients ────────────────────────────────────────────────────────────────
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# LLM clients (providers, models, API keys, strength, scope) are configured
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# via the web app and stored in the database — not in this file.
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# ───────────────────────────────────────────────────────────────────────────────
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llm:
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# Maximum number of messages kept in the LLM context window.
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# NOTE: this setting is ignored when `compaction` is enabled — in that case
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# the compactor manages the token budget and truncating by count would silently
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# discard history that should be summarised instead. With compaction active
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# this field has no effect; without it, this is the only context-size guard.
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max_history_messages: 30
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max_tool_rounds: 100
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# Max synchronous sub-agents dispatched concurrently when the LLM emits a
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# homogeneous batch (≥2) of sub-agent calls (execute_task mode=sync /
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# execute_subtask) in a single response. Bounds fan-out to avoid provider
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# rate-limit storms. Omit for the default (4); set to 1 to force sequential.
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max_parallel_subagents: 4
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datetime:
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enabled: true
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round_minutes: 60 # Help with KV cache (instead of 10:54, it will pass 10:50 to the LLM)
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# ── Tool result size limit ──────────────────────────────────────────────────
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# When set, tool results from *previous* turns that exceed this character
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# count are replaced (at context-build time) with a short placeholder:
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# "[Tool response hidden: N chars. Call the tool again if you need it.]"
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# The original result is always preserved in the database and shown in the
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# frontend; only what the LLM receives in subsequent turns is affected.
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# The current turn always sees full results regardless of this limit.
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# Omit or comment out to disable (no limit).
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max_tool_result_chars: 10000
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# ───────────────────────────────────────────────────────────────────────────
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# ── Context compaction ──────────────────────────────────────────────────────
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# When enabled, the conversation history is automatically summarised when the
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# previous turn consumed more than `threshold_tokens` input tokens.
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# The summary is persisted to the DB and injected at the start of subsequent
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# turns, replacing the old messages while preserving the last `keep_recent`
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# raw messages for immediate context.
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#
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# `strength` controls which LLM is picked for summary generation via the AUTO
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# selector (same strength levels used for agent assignment). Compaction is a
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# simple writing task — `low` or `average` is usually sufficient.
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# Omit `strength` to use whatever AUTO picks.
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#
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# When the LLM provider does not report token usage (e.g. some LM Studio
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# setups), a rough estimate (total chars / 4) is used as a fallback.
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#
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# compaction:
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# threshold_tokens: 30000 # trigger above this many input tokens
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# keep_recent: 6 # raw messages kept outside the summary
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# strength: low # LLM strength for summary generation
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# ───────────────────────────────────────────────────────────────────────────
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# ── TIC background event processor ─────────────────────────────────────────
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# TIC runs periodically to process pending MCP events (email, calendar, WhatsApp)
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# and decide whether to surface a notification to the user.
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#
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# interval_secs — how often TIC runs (default: 900 = 15 minutes)
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# batch_size — max events processed per tick (default: 50)
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#
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# tic:
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# interval_secs: 900
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# batch_size: 50
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# ───────────────────────────────────────────────────────────────────────────
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# ── Date/time injection ─────────────────────────────────────────────────────
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# Controls how the current date/time is injected into each LLM request.
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# By default the exact timestamp is used, which changes every second and
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# prevents the dynamic tail from being KV-cached across requests.
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#
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# datetime:
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# enabled: true # set to false to disable injection entirely
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# round_minutes: 10 # round down to nearest N minutes (e.g. 10:56 → 10:50)
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# # keeps the string stable for up to N minutes
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# ───────────────────────────────────────────────────────────────────────────
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# ── LLM request/response log ────────────────────────────────────────────────
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# Logs every chat_with_tools call to the `llm_requests` table.
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# Captures the full HTTP request body, response body, headers (api-key redacted),
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# token counts, and round-trip duration.
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#
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# WARNING: disabling `enabled` also disables the home-page LLM statistics.
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#
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# What to save (all default to true):
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# request_payload_save — full request JSON (can be hundreds of KB per call)
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# response_payload_save — full response JSON
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# request_header_save — HTTP request headers (api-key always redacted)
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# response_header_save — HTTP response headers
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#
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# Cleanup policy (all optional — omit to keep data forever):
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# cleanup_request_payload_after — set request_json = '' after N days
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# cleanup_response_payload_after — set response_json = NULL after N days
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# cleanup_headers_after — null out both header columns after N days
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# cleanup_rows_after — physically delete rows after N days
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#
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# The cleaner runs 1 minute after startup, then every 12 hours.
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#
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requests_log:
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enabled: true
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request_payload_save: false
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response_payload_save: true
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request_header_save: true
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response_header_save: true
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cleanup_request_payload_after: 7
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cleanup_response_payload_after: 14
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cleanup_headers_after: 30
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cleanup_rows_after: 90
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# ───────────────────────────────────────────────────────────────────────────
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