refactor(models): unify preset names

docs/chat-commands.md

@@ -47,7 +47,7 @@ Use `/model` to inspect the current runtime model:
 /model
 ```
 
-The response shows the current session's model and preset, plus the available preset names. Named presets come from the top-level `modelPresets` config and are the recommended way to configure model choices. `default` is always available and represents the model settings from direct `agents.defaults.*` fields.
+The response shows the current session's model and preset, plus the available preset names. Each key under the top-level `modelPresets` config is the preset's canonical name everywhere nanobot displays or references it. `default` is always available and represents the model settings from direct `agents.defaults.*` fields.
 
 To switch presets for future turns:
 

docs/configuration.md

@@ -1404,21 +1404,6 @@ Existing configs do not need to change. Direct `agents.defaults.model`, `provide
 {
   "modelPresets": {
     "fast": {
-      "provider": "openrouter",
-      "model": "anthropic/claude-sonnet-4.5",
-      "maxTokens": 4096,
-      "contextWindowTokens": 65536
-    }
-  },
-  "agents": {
-    "defaults": {
-      "modelPreset": "fast",
-      "fallbackModels": ["deep", "localSmall"]
-    }
-  },
-  "modelPresets": {
-    "fast": {
-      "label": "Fast",
       "model": "gpt-4.1-mini",
       "provider": "openai",
       "maxTokens": 4096,
@@ -1427,7 +1412,6 @@ Existing configs do not need to change. Direct `agents.defaults.model`, `provide
       "reasoningEffort": "low"
     },
     "deep": {
-      "label": "Deep",
       "model": "claude-opus-4-5",
       "provider": "anthropic",
       "maxTokens": 8192,
@@ -1435,22 +1419,28 @@ Existing configs do not need to change. Direct `agents.defaults.model`, `provide
       "reasoningEffort": "high"
     },
     "localSmall": {
-      "label": "Local Small",
       "model": "llama3.2",
       "provider": "ollama",
       "maxTokens": 4096,
       "contextWindowTokens": 32768,
       "temperature": 0.2
     }
+  },
+  "agents": {
+    "defaults": {
+      "modelPreset": "fast",
+      "fallbackModels": ["deep", "localSmall"]
+    }
   }
 }
 ```
 
-`modelPresets` is a top-level object. The keys under it (`fast`, `deep`, `coding`, etc.) are user-defined preset names. Each preset supports:
+`modelPresets` is a top-level object. Each key (`fast`, `deep`, `coding`, etc.) is the preset's one canonical name: it is shown in the interface, passed to `/model <name>`, and referenced by defaults, fallbacks, sessions, and Dream. Names must be unique ignoring case. Each preset supports:
+
+Older configs may still contain a `label` inside a preset. It is accepted when loading for compatibility but ignored; the object key remains the canonical name.
 
 | Field | Description |
 |-------|-------------|
-| `label` | Optional display name shown in model lists. |
 | `model` | Model name to use for this preset. |
 | `provider` | Provider name, or `"auto"` to use provider auto-detection. |
 | `maxTokens` | Maximum completion/output tokens. |

docs/provider-cookbook.md

@@ -71,7 +71,6 @@ This recipe applies when one API key routes many hosted model families.
   },
   "modelPresets": {
     "primary": {
-      "label": "Primary",
       "provider": "openrouter",
       "model": "anthropic/claude-sonnet-4.5",
       "maxTokens": 4096,
@@ -113,7 +112,6 @@ OpenCode Zen:
   },
   "modelPresets": {
     "primary": {
-      "label": "OpenCode Zen",
       "provider": "opencode_zen",
       "model": "opencode/deepseek-v4-pro",
       "maxTokens": 4096,
@@ -140,7 +138,6 @@ OpenCode Go:
   },
   "modelPresets": {
     "primary": {
-      "label": "OpenCode Go",
       "provider": "opencode_go",
       "model": "opencode-go/deepseek-v4-flash",
       "maxTokens": 4096,
@@ -182,7 +179,6 @@ This recipe applies when you have an OpenAI API key and want to call OpenAI dire
   },
   "modelPresets": {
     "primary": {
-      "label": "OpenAI",
       "provider": "openai",
       "model": "gpt-5",
       "maxTokens": 4096,
@@ -219,7 +215,6 @@ This recipe applies when your key comes from Anthropic and your model name is an
   },
   "modelPresets": {
     "primary": {
-      "label": "Anthropic",
       "provider": "anthropic",
       "model": "claude-sonnet-4-5",
       "maxTokens": 4096,
@@ -255,7 +250,6 @@ If you use an Anthropic-compatible proxy, keep the preset provider as `anthropic
   },
   "modelPresets": {
     "primary": {
-      "label": "Anthropic proxy",
       "provider": "anthropic",
       "model": "claude-sonnet-4-5",
       "maxTokens": 4096,
@@ -286,7 +280,6 @@ This recipe applies when your key comes from Kimi's Coding Plan endpoint. Nanobo
   },
   "modelPresets": {
     "kimiCoding": {
-      "label": "Kimi Coding",
       "provider": "kimi_coding",
       "model": "kimi-for-coding",
       "maxTokens": 4096,
@@ -324,7 +317,6 @@ This recipe applies to an OpenAI-compatible service that is not a named nanobot
   },
   "modelPresets": {
     "primary": {
-      "label": "Custom",
       "provider": "custom",
       "model": "provider-model-name",
       "maxTokens": 4096,
@@ -364,7 +356,6 @@ For multiple custom endpoints, do not overload the single `custom` block. Name e
   },
   "modelPresets": {
     "work": {
-      "label": "Work proxy",
       "provider": "workProxy",
       "model": "gpt-4o-mini",
       "maxTokens": 4096,
@@ -372,7 +363,6 @@ For multiple custom endpoints, do not overload the single `custom` block. Name e
       "temperature": 0.1
     },
     "lab": {
-      "label": "Lab local",
       "provider": "lab-local",
       "model": "served-model-name",
       "maxTokens": 4096,
@@ -408,7 +398,6 @@ ollama pull llama3.2
   },
   "modelPresets": {
     "local": {
-      "label": "Local",
       "provider": "ollama",
       "model": "llama3.2",
       "maxTokens": 2048,
@@ -453,7 +442,6 @@ This recipe applies when a local server exposes an OpenAI-compatible `/v1` API.
   },
   "modelPresets": {
     "local": {
-      "label": "Local",
       "provider": "vllm",
       "model": "served-model-name",
       "maxTokens": 4096,
@@ -480,7 +468,6 @@ For LM Studio, use its local base URL and provider name:
   },
   "modelPresets": {
     "local": {
-      "label": "LM Studio",
       "provider": "lm_studio",
       "model": "local-model",
       "maxTokens": 2048,
@@ -505,7 +492,6 @@ This recipe applies when one provider sometimes rate-limits, one model is expens
 {
   "modelPresets": {
     "fast": {
-      "label": "Fast",
       "provider": "openrouter",
       "model": "anthropic/claude-sonnet-4.5",
       "maxTokens": 4096,
@@ -513,7 +499,6 @@ This recipe applies when one provider sometimes rate-limits, one model is expens
       "temperature": 0.1
     },
     "deep": {
-      "label": "Deep",
       "provider": "anthropic",
       "model": "claude-sonnet-4-5",
       "maxTokens": 4096,
@@ -521,7 +506,6 @@ This recipe applies when one provider sometimes rate-limits, one model is expens
       "temperature": 0.1
     },
     "local": {
-      "label": "Local",
       "provider": "ollama",
       "model": "llama3.2",
       "maxTokens": 2048,
@@ -580,14 +564,12 @@ Use this after you have more than one preset and are chatting through a supporte
 {
   "modelPresets": {
     "fast": {
-      "label": "Fast",
       "provider": "openrouter",
       "model": "anthropic/claude-sonnet-4.5",
       "maxTokens": 4096,
       "contextWindowTokens": 65536
     },
     "local": {
-      "label": "Local",
       "provider": "ollama",
       "model": "llama3.2",
       "maxTokens": 2048,

docs/providers.md

@@ -633,7 +633,6 @@ Model presets are the recommended model configuration surface. Use them when you
 {
   "modelPresets": {
     "fast": {
-      "label": "Fast",
       "provider": "openrouter",
       "model": "anthropic/claude-sonnet-4.5",
       "maxTokens": 4096,
@@ -641,7 +640,6 @@ Model presets are the recommended model configuration surface. Use them when you
       "temperature": 0.1
     },
     "deep": {
-      "label": "Deep",
       "provider": "anthropic",
       "model": "claude-opus-4-5",
       "maxTokens": 8192,
@@ -667,7 +665,6 @@ Fallbacks are useful for transient provider failures, rate limits, or model avai
 {
   "modelPresets": {
     "fast": {
-      "label": "Fast",
       "provider": "openrouter",
       "model": "anthropic/claude-sonnet-4.5",
       "maxTokens": 4096,
@@ -675,7 +672,6 @@ Fallbacks are useful for transient provider failures, rate limits, or model avai
       "temperature": 0.1
     },
     "deep": {
-      "label": "Deep",
       "provider": "anthropic",
       "model": "claude-opus-4-5",
       "maxTokens": 8192,
@@ -683,7 +679,6 @@ Fallbacks are useful for transient provider failures, rate limits, or model avai
       "temperature": 0.1
     },
     "localSmall": {
-      "label": "Local Small",
       "provider": "ollama",
       "model": "llama3.2",
       "maxTokens": 4096,