Files
turnstone/docs/settings.md
T
Patrick Buckley 50544c0d1b feat: MCP Registry integration — discover and install servers from the official registry
Backend: standalone MCPRegistryClient (httpx async) queries the official MCP
Registry API (registry.modelcontextprotocol.io, v0.1). Two new console admin
endpoints: GET /v1/api/admin/mcp-registry/search (proxy with installed-status
annotation, dedup, uninstallable server filtering) and POST
/v1/api/admin/mcp-registry/install (auto-reloads all cluster nodes). Migration
019 adds registry_name/version/meta columns to mcp_servers with partial unique
index. Configurable registry URL via mcp.registry_url setting for
enterprise/private registries. resolve_install_config() handles both remote
(streamable-http) and package (npm→npx, pypi→uvx) installs. Pydantic models,
OpenAPI spec, Python + TypeScript SDK methods.

Frontend: unified MCP admin tab with Servers/Registry pill toggle (ARIA
tablist). Servers view: tri-state source badges (CONFIG/MANUAL/REGISTRY).
Registry view: search bar with type filter (remote/npm/pypi), auto-browse on
tab switch, result cards with source-type badges and repo links, one-click
install for zero-config remotes, install modal with dynamic form for servers
needing env vars/headers/URL variables. Package install warning banner.
Post-install status polling with connection/error feedback toasts. Trust
notice banner linking to the official registry.

Safety: 30s connect timeout on streamablehttp_client and session.initialize()
prevents hung connections from blocking the MCP event loop indefinitely.
Required-only headers in install config prevents empty auth headers from
causing silent 401s.

71 new tests (registry client, API endpoints, storage columns). Docs:
dedicated docs/mcp-registry.md, updated api-reference, architecture, console,
sdk, settings docs. Updated MCP architecture diagram.
2026-03-15 21:09:27 -07:00

9.9 KiB

System Settings

See also: Settings Architecture diagram

The system settings feature provides database-backed configuration for server nodes. Settings are stored in the system_settings table and managed through the admin API or console Settings tab. This replaces config.toml for non-bootstrap settings on server entry points, while the CLI continues to read config.toml directly.

Overview

Settings follow a typed registry pattern: every storable setting has a SettingDef entry in settings_registry.py with type, default, description, validation constraints, and a restart_required flag. Unknown keys are rejected at the API boundary.

At runtime, ConfigStore loads all settings from storage into an in-memory cache. Reads are lock-free dict lookups on an immutable snapshot. Writes acquire a lock, persist to storage, and swap the cache atomically.


Precedence

Settings resolution differs between entry points:

Entry point Chain
Server (turnstone-server, turnstone-bridge) CLI flag > ConfigStore > registry default
CLI (turnstone) CLI flag > config.toml > argparse default

The server's apply_config() ignores config.toml sections that overlap with ConfigStore. A startup warning is logged for each overlapping key, directing users to the admin Settings API.


Bootstrap vs ConfigStore

Bootstrap settings are required before storage is available (database connection, Redis, auth secrets, server bind address). These stay in config.toml and environment variables.

Category Section Where
API credentials [api] config.toml / env
Database [database] config.toml / env
Redis [redis] config.toml / env
Auth [auth] config.toml / env
Bridge identity [bridge] config.toml / env
Console bind [console] config.toml / env

ConfigStore settings (~40 settings) are loaded from the database after storage initialization:

Section Settings
model name, temperature, max_tokens, reasoning_effort, context_window
session instructions, retention_days, compact_max_tokens, auto_compact_pct
tools timeout, truncation, agent_max_turns, skip_permissions, search, search_threshold, search_max_results
server workstream_idle_timeout, max_workstreams
mcp config_path, refresh_interval, registry_url
ratelimit enabled, requests_per_second, burst
health backend_probe_interval, backend_probe_timeout, circuit_breaker_threshold, circuit_breaker_cooldown
judge enabled, model, provider, base_url, api_key, confidence_threshold, max_context_ratio, timeout, read_only_tools
memory relevance_k, fetch_limit, max_content, nudge_cooldown, nudges

Settings are addressed by dotted key (e.g. memory.relevance_k). Each has a declared type (int, float, str, bool), optional min_value/max_value range, optional choices list, and an is_secret flag.


Storage

The system_settings table (migration 015) stores settings as JSON-encoded values with a composite primary key of (key, node_id):

Column Type Description
key text Dotted setting key (e.g. model.temperature)
value text JSON-encoded value
node_id text Node ID for per-node overrides (empty string = global)
is_secret int 1 if the setting contains secrets
changed_by text Username of last editor
created text ISO timestamp
updated text ISO timestamp

Per-node overrides layer on top of global settings. When ConfigStore loads, it fetches global settings first, then overlays per-node values.


Admin API

Four endpoints on the console server, all requiring the admin.settings permission.

GET /v1/api/admin/settings

List all settings with their effective values, defaults, and metadata.

Response: 200

{
  "settings": [
    {
      "key": "model.temperature",
      "value": 0.7,
      "source": "storage",
      "type": "float",
      "description": "Sampling temperature",
      "section": "model",
      "is_secret": false,
      "node_id": "",
      "changed_by": "admin",
      "updated": "2026-03-14T10:00:00",
      "restart_required": false
    }
  ]
}

GET /v1/api/admin/settings/schema

Return the full registry catalog (all defined settings with metadata). Useful for building dynamic admin UIs.

Response: 200

{
  "schema": [
    {
      "key": "model.temperature",
      "type": "float",
      "default": 0.5,
      "description": "Sampling temperature",
      "section": "model",
      "is_secret": false,
      "min_value": 0.0,
      "max_value": 2.0,
      "choices": null,
      "restart_required": false
    }
  ]
}

PUT /v1/api/admin/settings/{key}

Update a setting. The value is validated against the registry (type coercion, range, choices). Secret settings (is_secret=true) cannot be written via the API -- they must be configured via config.toml or environment variables.

Path parameters:

Parameter Type Description
key string Dotted setting key (e.g. model.temperature)

Request body:

{
  "value": 0.7,
  "node_id": ""
}
Field Type Required Default Description
value any yes -- New value (type-coerced against registry)
node_id string no "" Node ID for per-node override

Response (success): 200

{
  "key": "model.temperature",
  "value": 0.7,
  "source": "storage",
  "type": "float",
  "description": "Sampling temperature",
  "section": "model",
  "is_secret": false,
  "node_id": "",
  "changed_by": "admin",
  "updated": "",
  "restart_required": false
}

Errors:

Status Condition
400 Unknown key, invalid value, type mismatch, out of range
403 Secret setting (must use config.toml or env)

DELETE /v1/api/admin/settings/{key}

Reset a setting to its registry default by removing it from storage.

Path parameters:

Parameter Type Description
key string Dotted setting key

Query parameters:

Parameter Type Required Default Description
node_id string no "" Node ID (empty = global)

Response (success): 200

{"status": "ok", "key": "model.temperature", "default": 0.5}

Response (not found): 404

{"error": "Setting 'model.temperature' has no stored value"}

Secret Settings

Settings with is_secret=True (currently only judge.api_key) are blocked from the write API with a 403 response. This prevents accidental exposure through the admin UI or audit logs. Secret settings must be configured via config.toml or environment variables.

The list endpoint masks secret values: stored secrets appear as "***" rather than their actual value.


Hot Reload

ConfigStore caches all settings in memory for fast, lock-free reads. To refresh the cache after external changes (e.g. direct database edits or cluster-wide propagation):

POST /v1/api/_internal/config-reload

This triggers ConfigStore.reload(), which re-reads all settings from storage and atomically swaps the cache. The version counter increments on every reload.

Behavior after reload:

  • New workstreams pick up updated values immediately (via session_factory)
  • Existing sessions keep their frozen configuration (settings are captured at workstream creation time, not read on every turn)
  • Settings marked restart_required=True need a server restart to take effect

Migration from config.toml

On startup, warn_migrated_settings() scans config.toml for keys that are now managed by ConfigStore. Each overlap produces a warning:

WARNING config.toml [model] temperature is now managed via Settings API —
this value will be ignored. Use the admin Settings tab or
PUT /v1/api/admin/settings/model.temperature to configure.

To migrate:

  1. Note the values from config.toml for sections that overlap with ConfigStore
  2. Use PUT /v1/api/admin/settings/{key} or the console Settings tab to set each value
  3. Remove the migrated sections from config.toml
  4. Restart the server to verify no warnings

SDK

Python

from turnstone.sdk import TurnstoneConsole

with TurnstoneConsole("http://localhost:9090", token="tok_xxx") as admin:
    # List all settings with effective values
    result = admin.list_settings()
    for s in result["settings"]:
        print(f"{s['key']} = {s['value']} (source: {s['source']})")

    # Get the schema catalog
    schema = admin.get_settings_schema()

    # Update a setting
    admin.update_setting("model.temperature", value=0.7)

    # Update with per-node override
    admin.update_setting("model.temperature", value=0.3, node_id="node-2")

    # Reset to default
    admin.delete_setting("model.temperature")

TypeScript

import { TurnstoneConsole } from "@turnstone/sdk";

const admin = new TurnstoneConsole({
  baseUrl: "http://localhost:9090",
  token: "tok_xxx",
});

// List all settings
const result = await admin.listSettings();
for (const s of result.settings) {
  console.log(`${s.key} = ${s.value} (source: ${s.source})`);
}

// Get schema catalog
const schema = await admin.getSettingsSchema();

// Update a setting
await admin.updateSetting("model.temperature", { value: 0.7 });

// Reset to default
await admin.deleteSetting("model.temperature");

Architecture

See Settings Architecture diagram for the full data flow covering server startup, admin API writes, hot reload, and settings precedence.