The name device_command_run was ambiguous and easily confused with
device_config_send. device_show_run makes the read-only intent explicit,
forming a clear pair: config_send (write) vs show_run (read).
- Tool description and param schema now use 'commands' (matching ExecuteMultipleDeviceCommands)
- Updated error message in handler
- Clarified in docstring that this is read-only; use device_config_send for config changes
template_list was annotated as dict[str, Any] but _run_handler_sync always
returns a list envelope ([{"type":"text",...}]). Other tools use
list[dict[str, Any]] consistently. This caused a Pydantic dict_type
validation error on the client.
When MCP client authenticates with API key, _resolve_token now
returns a newly generated JWT. This JWT is stored in the ContextVar
and used by all subsequent tool handler API calls - zero extra bcrypt.
- Expose optional 'fields' parameter to AI via tool description
- List all available node fields in the parameter description
- Mention inherited template_id in batch mode
- Batch mode now inherits top-level template_id as default per-node
- Both single and batch modes filter response to minimal fields by default
(node_id, name, node_type, status, console)
- Optional 'fields' parameter overrides the default field set
_ jw t_username_var set in _resolve_token for both JWT and API key auth.
Passed to handlers via gns3_ctx['jwt_username']. No raw key exposure,
no fake-user fallback.
config_tools_nornir expects config_commands, while
display_tools_nornir and vpcs_tools_netmiko expect commands.
Render template now uses the correct field name.
- Add optional 'template' param with Jinja2 syntax
- Each device entry can use 'vars' dict instead of 'config_commands'
- Template rendered per device, merged with existing commands
- Rendering errors returned inline for AI self-correction
- Each tool accepts either node_id (single) or node_ids (batch)
- Batch mode runs actions in parallel via ThreadPoolExecutor
- Useful for starting/stopping nodes by topology region
- node_create accepts nodes=[{template_id, x, y, name?}] for batch creation
- link_create accepts links=[{nodes, link_type?, filters?}] for batch creation
- Uses ThreadPoolExecutor for parallel REST API calls
- Max 10 concurrent workers per batch, backward compatible with single mode
REST API auth already supports gns3_ keys, so there's no need
to create a temporary 5-min JWT. The raw API key is passed
through as the Bearer token, eliminating token expiry issues.
_db_engine is not available when register_starlette_routes() is
called (it's set later during lifespan startup). Store the app
reference instead and access app.state._db_engine lazily.
- New db model: api_keys table with bcrypt-hashed keys
- New API: POST/GET/DELETE /v3/access/api-keys endpoints
- MCP _resolve_token: validates API keys, resolves to 5-min JWT
- API keys inherit the creating user's RBAC permissions
- MCP auth supports both JWT (24h) and API key (permanent) tokens
YueGuobin