feat(moonshot): implement provider with model picker, API fetching, streaming, and model metadata (#857)

* fix(moonshot): fix provider issues with model picker, refresh, and streaming

- Fix duplicate ModelPicker by adding moonshot to PROVIDERS_WITH_CUSTOM_MODEL_UI
- Fix HTTP 404 on Refresh Models by preserving /v1 in fetcher URL
- Fix empty model list (consequence of 404 fix)
- Fix 'No output generated' error by switching MoonshotHandler from
  OpenAICompatibleHandler (Vercel AI SDK) to OpenAiHandler (OpenAI Node SDK)
  which is what Moonshot's own API docs recommend
- Add dedicated Moonshot fetcher with proper model ID prefixing
- Update tests to match new handler implementation

All 6,660 backend and 1,432 webview-ui tests pass.

* feat(moonshot): add missing models with correct pricing from official docs

Add kimi-k2.7-code, kimi-k2.7-code-highspeed, and kimi-k2.6 to static
models map with accurate pricing from Moonshot documentation.

Also fix kimi-k2.5 to correctly mark supportsImages: true.

* Update webview-ui/src/components/settings/providers/Moonshot.tsx

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* fix(moonshot): remove fallback pricing for unknown models to match handler behavior

* Bump coverage

* fix(moonshot): address PR review feedback — add tests and fix inline import type

- Replace inline import() type with top-level OpenAI.Chat.Completions.X in moonshot.ts
- Add useSelectedModel moonshot tests (default model, router override, unknown fallback, getValidatedModelId)
- Add modelCache moonshot dispatch test for fetchModelsFromProvider switch
- Create Moonshot.spec.tsx with state machine tests (idle/loading/success/error states, race condition guard)

---------

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

Author: grizmin

packages/types/src/provider-settings.ts

@@ -46,6 +46,7 @@ export const dynamicProviders = [
 	"unbound",
 	"poe",
 	"deepseek",
+	"moonshot",
 	"opencode-go",
 	"kenari",
 ] as const

packages/types/src/providers/moonshot.ts

@@ -56,15 +56,51 @@ export const moonshotModels = {
 	"kimi-k2.5": {
 		maxTokens: 16_384,
 		contextWindow: 262_144,
-		supportsImages: false,
+		supportsImages: true, // Supports text, image, and video input
 		supportsPromptCache: true,
 		inputPrice: 0.6, // $0.60 per million tokens (cache miss)
 		outputPrice: 3.0, // $3.00 per million tokens
 		cacheReadsPrice: 0.1, // $0.10 per million tokens (cache hit)
 		supportsTemperature: true,
 		defaultTemperature: 1.0,
 		description:
-			"Kimi K2.5 is the latest generation of Moonshot AI's Kimi series, featuring improved reasoning capabilities and enhanced performance across diverse tasks.",
+			"Kimi K2.5 supports text, image, and video input, thinking and non-thinking modes, and dialogue and agent tasks. Context length 256k.",
+	},
+	"kimi-k2.6": {
+		maxTokens: 16_384,
+		contextWindow: 262_144,
+		supportsImages: true, // Native multimodal: text, image, video
+		supportsPromptCache: true,
+		inputPrice: 0.95, // $0.95 per million tokens (cache miss)
+		outputPrice: 4.0, // $4.00 per million tokens
+		cacheWritesPrice: 0, // $0 per million tokens (cache writes)
+		cacheReadsPrice: 0.16, // $0.16 per million tokens (cache hit)
+		description:
+			"Kimi K2.6 is Kimi's latest and most intelligent model with stronger long-term code writing capabilities, improved instruction compliance, and self-correction. Native multimodal architecture supporting text, image, and video input. Context length 256k.",
+	},
+	"kimi-k2.7-code": {
+		maxTokens: 16_384,
+		contextWindow: 262_144,
+		supportsImages: true, // Native multimodal: text, image, video
+		supportsPromptCache: true,
+		inputPrice: 0.95, // $0.95 per million tokens (cache miss)
+		outputPrice: 4.0, // $4.00 per million tokens
+		cacheWritesPrice: 0, // $0 per million tokens (cache writes)
+		cacheReadsPrice: 0.19, // $0.19 per million tokens (cache hit)
+		description:
+			"Kimi K2.7 Code is Kimi's most intelligent Coding model for higher success rates in long context programming tasks. Native multimodal architecture supporting text, image, and video input. Context length 256k.",
+	},
+	"kimi-k2.7-code-highspeed": {
+		maxTokens: 16_384,
+		contextWindow: 262_144,
+		supportsImages: true, // Native multimodal: text, image, video
+		supportsPromptCache: true,
+		inputPrice: 1.9, // $1.90 per million tokens (cache miss)
+		outputPrice: 8.0, // $8.00 per million tokens
+		cacheWritesPrice: 0, // $0 per million tokens (cache writes)
+		cacheReadsPrice: 0.38, // $0.38 per million tokens (cache hit)
+		description:
+			"Kimi K2.7 Code HighSpeed is the high-speed version of Kimi K2.7 Code with output speed of approximately 180 Tokens/s (up to 260 Tokens/s in short context). Same model architecture, faster output. Context length 256k.",
 	},
 } as const satisfies Record<string, ModelInfo>