feat(llm): add model-specific reasoning effort controls

packages/llm/llm-pi-ai/tests/adapter.e2e.ts

@@ -1,6 +1,6 @@
 import { afterEach, describe, expect, it } from 'vitest'
 import { Context } from 'cordis'
-import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
+import LlmService, { CallId, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import type { Message, ToolSchema } from '@deepseek-ai/dsh-llm'
 import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
 import type { PiAiProviderProfile } from '@deepseek-ai/dsh-llm-pi-ai'
@@ -9,7 +9,7 @@ import { assemble, type AssembledResult } from './assemble.ts'
 
 /**
  * Real-API e2e for the pi-ai-backed adapter: V4 Flash + V4 Pro with provider
- * defaults and representative high/xhigh reasoning. Mirrors the native
+ * defaults and representative high/max reasoning. Mirrors the native
  * adapter's StreamChunk contract and exercises a replayed tool follow-up.
  * Key-gated.
  */
@@ -75,9 +75,10 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
   })
 
   it.each([FLASH, PRO])('%s + reasoning high: reasoning blocks present', async (model) => {
-    const ctx = await harness(model, { reasoning: 'high' })
+    const ctx = await harness(model)
     const result = await assemble(ctx,{
       model,
+      reasoningEffort: ReasoningEffortId('high'),
       messages: ask('Which is larger, 9.11 or 9.8? Answer with just the number.'),
       maxTokens: 2000,
     })
@@ -86,11 +87,12 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
     expect(textOf(result)).toContain('9.8')
   })
 
-  it('pro + reasoning xhigh (wire max): tool-call round trip', async () => {
-    const ctx = await harness(PRO, { reasoning: 'xhigh' })
+  it('pro + reasoning max: tool-call round trip', async () => {
+    const ctx = await harness(PRO)
 
     const first = await assemble(ctx,{
       model: PRO,
+      reasoningEffort: ReasoningEffortId('max'),
       messages: ask('What is the weather in Paris right now? Use the get_weather tool.'),
       tools: [weatherTool],
       maxTokens: 2000,
@@ -103,6 +105,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
 
     const second = await assemble(ctx,{
       model: PRO,
+      reasoningEffort: ReasoningEffortId('max'),
       messages: [
         ...ask('What is the weather in Paris right now? Use the get_weather tool.'),
         first.message,