feat(ai): support Gemini thinking levels (#39796)

packages/ai/AGENTS.md

@@ -12,6 +12,8 @@
 
 Per-type constructors live on the type, not as top-level re-exports. Use `Message.system(...)`, `Message.user(...)`, `Message.assistant(...)`, `Message.tool(...)`, `Model.make(...)`, `ToolDefinition.make(...)`, `ToolCallPart.make(...)`, `ToolResultPart.make(...)`, `ToolChoice.make(...)`, `ToolChoice.named(...)`, `SystemPart.make(...)`, and `GenerationOptions.make(...)` directly. The top-level `LLM` namespace is reserved for request-shaped call APIs: `LLM.request`, `LLM.generate`, `LLM.stream`, `LLM.updateRequest`, and `LLM.generateObject`. Two ways to construct the same thing is one too many.
 
+- Keep provider-defined string enums forward-compatible. Expose known values for autocomplete while accepting future values with `Known | (string & {})`; use `Schema.String` at runtime unless rejecting unknown values is required for correctness.
+
 ## Tests
 
 - Use `testEffect(...)` from `test/lib/effect.ts` for tests requiring Effect layers.

packages/ai/src/protocols/gemini.ts

@@ -29,9 +29,30 @@ export const DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1bet
 
 export interface OptionsInput {
   readonly [key: string]: unknown
+  readonly cachedContent?: string
+  readonly safetySettings?: ReadonlyArray<{
+    readonly category:
+      | "HARM_CATEGORY_UNSPECIFIED"
+      | "HARM_CATEGORY_HATE_SPEECH"
+      | "HARM_CATEGORY_DANGEROUS_CONTENT"
+      | "HARM_CATEGORY_HARASSMENT"
+      | "HARM_CATEGORY_SEXUALLY_EXPLICIT"
+      | "HARM_CATEGORY_CIVIC_INTEGRITY"
+      | (string & {})
+    readonly threshold:
+      | "HARM_BLOCK_THRESHOLD_UNSPECIFIED"
+      | "BLOCK_LOW_AND_ABOVE"
+      | "BLOCK_MEDIUM_AND_ABOVE"
+      | "BLOCK_ONLY_HIGH"
+      | "BLOCK_NONE"
+      | "OFF"
+      | (string & {})
+  }>
+  readonly serviceTier?: "standard" | "flex" | "priority" | (string & {})
   readonly thinkingConfig?: {
     readonly thinkingBudget?: number
     readonly includeThoughts?: boolean
+    readonly thinkingLevel?: "minimal" | "low" | "medium" | "high" | (string & {})
   }
 }
 
@@ -111,6 +132,12 @@ const GeminiToolConfig = Schema.Struct({
 const GeminiThinkingConfig = Schema.Struct({
   thinkingBudget: Schema.optional(Schema.Number),
   includeThoughts: Schema.optional(Schema.Boolean),
+  thinkingLevel: Schema.optional(Schema.String),
+})
+
+const GeminiSafetySetting = Schema.Struct({
+  category: Schema.String,
+  threshold: Schema.String,
 })
 
 const GeminiGenerationConfig = Schema.Struct({
@@ -123,7 +150,10 @@ const GeminiGenerationConfig = Schema.Struct({
 })
 
 const GeminiBodyFields = {
+  cachedContent: Schema.optional(Schema.String),
   contents: Schema.Array(GeminiContent),
+  safetySettings: optionalArray(GeminiSafetySetting),
+  serviceTier: Schema.optional(Schema.String),
   systemInstruction: Schema.optional(GeminiSystemInstruction),
   tools: optionalArray(GeminiTool),
   toolConfig: Schema.optional(GeminiToolConfig),
@@ -316,17 +346,38 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
 })
 
 const resolveOptions = (request: LLMRequest) => {
-  const value = request.providerOptions?.gemini?.thinkingConfig
-  if (!ProviderShared.isRecord(value)) return {}
+  const input = request.providerOptions?.gemini
+  const value = input?.thinkingConfig
   const thinkingConfig = {
-    thinkingBudget: typeof value.thinkingBudget === "number" ? value.thinkingBudget : undefined,
-    includeThoughts: typeof value.includeThoughts === "boolean" ? value.includeThoughts : undefined,
+    thinkingBudget:
+      ProviderShared.isRecord(value) && typeof value.thinkingBudget === "number" ? value.thinkingBudget : undefined,
+    includeThoughts:
+      ProviderShared.isRecord(value) && typeof value.includeThoughts === "boolean"
+        ? value.includeThoughts
+        : ProviderShared.isRecord(value)
+          ? true
+          : undefined,
+    thinkingLevel:
+      ProviderShared.isRecord(value) && typeof value.thinkingLevel === "string" ? value.thinkingLevel : undefined,
   }
   return {
+    cachedContent: typeof input?.cachedContent === "string" ? input.cachedContent : undefined,
+    safetySettings: mapSafetySettings(input?.safetySettings),
+    serviceTier: typeof input?.serviceTier === "string" ? input.serviceTier : undefined,
     thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,
   }
 }
 
+function mapSafetySettings(value: unknown) {
+  if (!Array.isArray(value)) return undefined
+  const settings = value.flatMap((item) =>
+    ProviderShared.isRecord(item) && typeof item.category === "string" && typeof item.threshold === "string"
+      ? [{ category: item.category, threshold: item.threshold }]
+      : [],
+  )
+  return settings
+}
+
 const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMRequest) {
   const hasTools = request.tools.length > 0
   const generation = request.generation
@@ -342,7 +393,10 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
   }
 
   return {
+    cachedContent: options.cachedContent,
     contents: yield* lowerMessages(request),
+    safetySettings: options.safetySettings,
+    serviceTier: options.serviceTier,
     systemInstruction:
       request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },
     tools: hasTools

packages/ai/src/provider-package.ts

@@ -6,7 +6,6 @@ export interface Settings extends Readonly<Record<string, unknown>> {
   readonly body?: Readonly<Record<string, unknown>>
   readonly limits?: {
     readonly context: number
-    readonly input?: number
     readonly output: number
   }
 }

packages/ai/src/schema/options.ts

@@ -123,7 +123,6 @@ export const mergeGenerationOptions = (...items: ReadonlyArray<GenerationOptions
 
 export class ModelLimits extends Schema.Class<ModelLimits>("LLM.ModelLimits")({
   context: Schema.optional(Schema.Number),
-  input: Schema.optional(Schema.Number),
   output: Schema.optional(Schema.Number),
 }) {}
 

packages/ai/test/provider-options/google.types.ts

@@ -9,9 +9,39 @@ LLM.request({
   providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1024 } } },
 })
 
+LLM.request({
+  model,
+  prompt: "Hello",
+  providerOptions: {
+    gemini: {
+      // @ts-expect-error Gemini safety settings require a threshold for every category.
+      safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH" }],
+    },
+  },
+})
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  providerOptions: {
+    gemini: {
+      cachedContent: "cachedContents/example",
+      safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
+      serviceTier: "future-tier",
+      thinkingConfig: { thinkingLevel: "high", includeThoughts: true },
+    },
+  },
+})
+
 LLM.request({
   model,
   prompt: "Hello",
   // @ts-expect-error Gemini thinking budgets must be numeric.
   providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "large" } } },
 })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  providerOptions: { gemini: { thinkingConfig: { thinkingLevel: "maximum" } } },
+})

packages/ai/test/provider/gemini.test.ts

@@ -41,7 +41,14 @@ describe("Gemini route", () => {
     Effect.gen(function* () {
       const prepared = yield* compileRequest(
         LLMRequest.update(request, {
-          providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } } },
+          providerOptions: {
+            gemini: {
+              cachedContent: "cachedContents/example",
+              safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
+              serviceTier: "priority",
+              thinkingConfig: { thinkingBudget: 0, includeThoughts: false, thinkingLevel: "high" },
+            },
+          },
         }),
       )
       const filtered = yield* compileRequest(
@@ -49,12 +56,33 @@ describe("Gemini route", () => {
           providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } } },
         }),
       )
+      const defaulted = yield* compileRequest(
+        LLMRequest.update(request, {
+          providerOptions: { gemini: { thinkingConfig: { thinkingLevel: "high" } } },
+        }),
+      )
+      const emptySafetySettings = yield* compileRequest(
+        LLMRequest.update(request, {
+          providerOptions: { gemini: { safetySettings: [] } },
+        }),
+      )
 
       expect(prepared.body.generationConfig?.thinkingConfig).toEqual({
         thinkingBudget: 0,
         includeThoughts: false,
+        thinkingLevel: "high",
       })
+      expect(prepared.body.cachedContent).toBe("cachedContents/example")
+      expect(prepared.body.safetySettings).toEqual([
+        { category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" },
+      ])
+      expect(prepared.body.serviceTier).toBe("priority")
       expect(filtered.body.generationConfig?.thinkingConfig).toEqual({ includeThoughts: false })
+      expect(defaulted.body.generationConfig?.thinkingConfig).toEqual({
+        includeThoughts: true,
+        thinkingLevel: "high",
+      })
+      expect(emptySafetySettings.body.safetySettings).toEqual([])
     }),
   )
 

packages/core/src/aisdk-native.ts

@@ -1,5 +1,7 @@
 export * as AISDKNative from "./aisdk-native"
 
+import { isRecord } from "@opencode-ai/ai/utils/record"
+
 export interface Mapping {
   readonly package: string
   readonly settings: Readonly<Record<string, unknown>>
@@ -14,7 +16,7 @@ export function map(packageName: string | undefined, settings: Readonly<Record<s
         settings: {
           ...baseSettings,
           ...mapAPIKey(settings),
-          ...mapProviderOptions("gemini", settings),
+          ...mapGoogleOptions(settings),
         },
       }
     case "@openrouter/ai-sdk-provider":
@@ -48,6 +50,25 @@ function mapAPIKey(settings: Readonly<Record<string, unknown>>) {
   return typeof settings.apiKey === "string" ? { apiKey: settings.apiKey } : {}
 }
 
+function mapGoogleOptions(settings: Readonly<Record<string, unknown>>) {
+  const input = settings.thinkingConfig
+  const thinkingConfig = {
+    ...(isRecord(input) && typeof input.thinkingBudget === "number" ? { thinkingBudget: input.thinkingBudget } : {}),
+    ...(isRecord(input) && typeof input.includeThoughts === "boolean"
+      ? { includeThoughts: input.includeThoughts }
+      : {}),
+    ...(isRecord(input) && typeof input.thinkingLevel === "string" ? { thinkingLevel: input.thinkingLevel } : {}),
+  }
+  const options = {
+    ...(typeof settings.cachedContent === "string" ? { cachedContent: settings.cachedContent } : {}),
+    ...(Array.isArray(settings.safetySettings) ? { safetySettings: settings.safetySettings } : {}),
+    ...(typeof settings.serviceTier === "string" ? { serviceTier: settings.serviceTier } : {}),
+    ...(Object.keys(thinkingConfig).length > 0 ? { thinkingConfig } : {}),
+  }
+  if (Object.keys(options).length === 0) return {}
+  return { providerOptions: { gemini: options } }
+}
+
 function mapXAIOptions(settings: Readonly<Record<string, unknown>>) {
   const options = {
     ...(typeof settings.reasoningEffort === "string" ? { reasoningEffort: settings.reasoningEffort } : {}),

packages/core/src/aisdk.ts

@@ -332,7 +332,7 @@ function modelFromLanguage(info: Info, language: LanguageModelV3) {
               body: projected.body === undefined ? undefined : { ...projected.body },
               headers: info.headers,
             },
-      limits: { context: info.limit.context, input: info.limit.input, output: info.limit.output },
+      limits: { context: info.limit.context, output: info.limit.output },
       providerOptions,
     },
     body: {

packages/core/src/model-resolver.ts

@@ -81,7 +81,7 @@ const withDefaults = (model: Info, route: AnyRoute) =>
     headers: providerHeaders(model),
     providerOptions: providerOptions(model),
     http: model.body === undefined ? undefined : { body: model.body },
-    limits: { context: model.limit.context, input: model.limit.input, output: model.limit.output },
+    limits: { context: model.limit.context, output: model.limit.output },
   })
 
 const providerHeaders = (model: Info) => {
@@ -204,7 +204,7 @@ export const fromCatalogModel = (
       ...nativeCredentialSettings(specifier, credential),
       headers: resolved.headers,
       body: resolved.body,
-      limits: { context: resolved.limit.context, input: resolved.limit.input, output: resolved.limit.output },
+      limits: { context: resolved.limit.context, output: resolved.limit.output },
     }
     return yield* Effect.try({
       try: () => {

packages/core/src/plugin/provider/openai.ts

@@ -220,8 +220,12 @@ export const OpenAIPlugin = define({
             return
           }
           draft.cost = []
-          // Match Codex CLI so context consumption and subscription usage stay consistent between clients.
-          draft.limit = { ...draft.limit, context: 272_000, input: 272_000 }
+          if (draft.id.includes("gpt-5.5")) {
+            draft.limit = { context: 400_000, input: 272_000, output: 128_000 }
+          }
+          if (draft.id.includes("gpt-5.6")) {
+            draft.limit = { context: 500_000, input: 372_000, output: 128_000 }
+          }
         })
       }
     })

packages/core/src/session/compaction.ts

@@ -351,14 +351,10 @@ const make = (dependencies: Dependencies) => {
     )
     if (!last) return false
     const output = Math.min(input.model.route.defaults.limits?.output ?? 0, OUTPUT_TOKEN_MAX)
-    const limit = Math.min(
-      input.model.route.defaults.limits?.input ?? Number.POSITIVE_INFINITY,
-      context - (output || config.buffer),
-    )
     const used =
       last.tokens.input + last.tokens.output + last.tokens.reasoning + last.tokens.cache.read + last.tokens.cache.write
     if (used <= 0) return false
-    return used >= limit
+    return used >= context - (output || config.buffer)
   }
   const compactManual = Effect.fn("SessionCompaction.compactManual")(function* (input: ManualInput) {
     const content = planContent(input.messages, config.tokens)

packages/core/test/aisdk-native.test.ts

@@ -2,6 +2,66 @@ import { describe, expect, test } from "bun:test"
 import { AISDKNative } from "@opencode-ai/core/aisdk-native"
 
 describe("AISDKNative", () => {
+  test("maps every Google thinking setting", () => {
+    expect(
+      AISDKNative.map("@ai-sdk/google", {
+        cachedContent: "cachedContents/example",
+        safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+        serviceTier: "flex",
+        thinkingConfig: {
+          thinkingBudget: 0,
+          includeThoughts: false,
+          thinkingLevel: "high",
+          unknown: true,
+        },
+      }),
+    ).toEqual({
+      package: "@opencode-ai/ai/providers/google",
+      settings: {
+        providerOptions: {
+          gemini: {
+            cachedContent: "cachedContents/example",
+            safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+            serviceTier: "flex",
+            thinkingConfig: {
+              thinkingBudget: 0,
+              includeThoughts: false,
+              thinkingLevel: "high",
+            },
+          },
+        },
+      },
+    })
+  })
+
+  test("maps Google thinking settings independently", () => {
+    for (const thinkingConfig of [{ thinkingBudget: -1 }, { includeThoughts: true }, { thinkingLevel: "medium" }]) {
+      expect(AISDKNative.map("@ai-sdk/google", { thinkingConfig })).toMatchObject({
+        settings: { providerOptions: { gemini: { thinkingConfig } } },
+      })
+    }
+  })
+
+  test("maps Google request options without thinking settings", () => {
+    expect(
+      AISDKNative.map("@ai-sdk/google", {
+        cachedContent: "cachedContents/example",
+        safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+        serviceTier: "future-tier",
+      }),
+    ).toMatchObject({
+      settings: {
+        providerOptions: {
+          gemini: {
+            cachedContent: "cachedContents/example",
+            safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+            serviceTier: "future-tier",
+          },
+        },
+      },
+    })
+  })
+
   test("maps supported xAI settings", () => {
     expect(
       AISDKNative.map("@ai-sdk/xai", {

packages/core/test/model-resolver.test.ts

@@ -17,7 +17,6 @@ interface ModelOptions {
   readonly headers?: Info["headers"]
   readonly body?: Info["body"]
   readonly variants?: Info["variants"]
-  readonly limit?: Info["limit"]
 }
 
 const model = (packageName: string | undefined, options: ModelOptions = {}) =>
@@ -37,7 +36,7 @@ const model = (packageName: string | undefined, options: ModelOptions = {}) =>
     cost: [],
     status: "active",
     enabled: true,
-    limit: options.limit ?? { context: 100, output: 20 },
+    limit: { context: 100, output: 20 },
   })
 
 describe("ModelResolver", () => {
@@ -45,7 +44,6 @@ describe("ModelResolver", () => {
     Effect.gen(function* () {
       const catalog = model(Provider.aisdk("@ai-sdk/openai"), {
         settings: { baseURL: "https://openai.example/v1" },
-        limit: { context: 100, input: 80, output: 20 },
       })
       const resolved = yield* ModelResolver.fromCatalogModel(catalog)
 
@@ -57,7 +55,7 @@ describe("ModelResolver", () => {
         endpoint: { baseURL: "https://openai.example/v1" },
         defaults: {
           headers: { "x-test": "header" },
-          limits: { context: 100, input: 80, output: 20 },
+          limits: { context: 100, output: 20 },
           http: { body: { custom_extension: { enabled: true } } },
         },
       })
@@ -492,16 +490,31 @@ describe("ModelResolver", () => {
     Effect.gen(function* () {
       const native = yield* ModelResolver.fromCatalogModel(model(Provider.aisdk("@ai-sdk/openai")))
       const packages = [
-        ["@ai-sdk/google", "@opencode-ai/ai/providers/google", "gemini"],
-        ["@openrouter/ai-sdk-provider", "@opencode-ai/ai/providers/openrouter", "openrouter"],
-        ["@ai-sdk/xai", "@opencode-ai/ai/providers/xai", "xai"],
+        [
+          "@ai-sdk/google",
+          "@opencode-ai/ai/providers/google",
+          { thinkingConfig: { thinkingLevel: "high" } },
+          { gemini: { thinkingConfig: { thinkingLevel: "high" } } },
+        ],
+        [
+          "@openrouter/ai-sdk-provider",
+          "@opencode-ai/ai/providers/openrouter",
+          { reasoning: { effort: "high" } },
+          { openrouter: { reasoning: { effort: "high" } } },
+        ],
+        [
+          "@ai-sdk/xai",
+          "@opencode-ai/ai/providers/xai",
+          { reasoningEffort: "high" },
+          { xai: { reasoningEffort: "high" } },
+        ],
       ] as const
 
-      yield* Effect.forEach(packages, ([catalogPackage, nativePackage, optionKey]) =>
+      yield* Effect.forEach(packages, ([catalogPackage, nativePackage, sourceOptions, providerOptions]) =>
         ModelResolver.fromCatalogModel(
           model(Provider.aisdk(catalogPackage), {
             modelID: "api-model",
-            settings: { baseURL: "https://provider.example/v1", reasoningEffort: "high" },
+            settings: { baseURL: "https://provider.example/v1", ...sourceOptions },
             headers: { "x-provider": "header" },
             body: { custom: true },
           }),
@@ -518,7 +531,7 @@ describe("ModelResolver", () => {
                     headers: { "x-provider": "header" },
                     body: { custom: true },
                     limits: { context: 100, output: 20 },
-                    providerOptions: { [optionKey]: { reasoningEffort: "high" } },
+                    providerOptions,
                   })
                   return Model.make({ id: modelID, provider: "native-provider", route: native.route })
                 },

packages/core/test/plugin/provider-openai.test.ts

@@ -74,9 +74,6 @@ describe("OpenAIPlugin", () => {
           ]
         })
         catalog.model.update(item.id, Model.ID.make("gpt-5.5-pro"), () => {})
-        catalog.model.update(item.id, Model.ID.make("gpt-5.4"), (model) => {
-          model.limit = { context: 1_050_000, input: 922_000, output: 64_000 }
-        })
         catalog.model.update(item.id, Model.ID.make("gpt-5.4-pro"), (model) => {
           model.modelID = Model.ID.make("gpt-5.4")
           model.body = { reasoning: { mode: "pro" } }
@@ -140,7 +137,7 @@ describe("OpenAIPlugin", () => {
       const eligible = required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.5")))
       expect(eligible.package).toBe("@opencode-ai/ai/providers/openai")
       expect(eligible.cost).toEqual([])
-      expect(eligible.limit).toEqual({ context: 272_000, input: 272_000, output: 128_000 })
+      expect(eligible.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
       expect(eligible.enabled).toBe(true)
       expect(required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.5-pro"))).enabled).toBe(
         false,
@@ -148,15 +145,10 @@ describe("OpenAIPlugin", () => {
       expect(required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.4-pro"))).enabled).toBe(
         false,
       )
-      expect(required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.4"))).limit).toEqual({
-        context: 272_000,
-        input: 272_000,
-        output: 64_000,
-      })
       expect(required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.6"))).enabled).toBe(false)
       const gpt56 = required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-5.6-sol")))
       expect(gpt56.enabled).toBe(true)
-      expect(gpt56.limit).toEqual({ context: 272_000, input: 272_000, output: 128_000 })
+      expect(gpt56.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
       expect(required(yield* catalog.model.get(Provider.ID.openai, Model.ID.make("gpt-4.1"))).enabled).toBe(false)
     }),
   )

packages/core/test/session-compaction.test.ts

@@ -19,11 +19,9 @@ import { Session } from "@opencode-ai/core/session"
 import { Project } from "@opencode-ai/core/project"
 import { ProjectTable } from "@opencode-ai/core/project/sql"
 import { App } from "@opencode-ai/core/app"
-import { Agent } from "@opencode-ai/core/agent"
-import { Location } from "@opencode-ai/core/location"
 import { AbsolutePath } from "@opencode-ai/core/schema"
 import { Money } from "@opencode-ai/schema/money"
-import { DateTime, Effect, Fiber, Layer, Schema, Stream } from "effect"
+import { DateTime, Effect, Fiber, Layer, Stream } from "effect"
 import { asc, eq } from "drizzle-orm"
 import { testEffect } from "./lib/effect"
 
@@ -132,43 +130,6 @@ test("compaction prompt requires the checkpoint headings in order", () => {
   expect(prompt).toContain("Keep every section, even when empty.")
 })
 
-it.effect("auto compaction respects explicit model input limits", () =>
-  Effect.gen(function* () {
-    const compaction = yield* SessionCompaction.Service
-    const session = Session.Info.make({
-      id: Session.ID.make("ses_input_limit"),
-      projectID: Project.ID.global,
-      cost: Money.USD.zero,
-      tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
-      time: { created: DateTime.makeUnsafe(0), updated: DateTime.makeUnsafe(0) },
-      location: Location.Ref.make({ directory: AbsolutePath.make("/tmp") }),
-    })
-    const input = (tokens: number) => ({
-      session,
-      model: Model.make({
-        id: "test-model",
-        provider: "test-provider",
-        route: OpenAIChat.route.with({ limits: { context: 1_000, input: 100, output: 100 } }),
-      }),
-      cost: [],
-      messages: [
-        Schema.decodeUnknownSync(SessionMessage.Assistant)({
-          id: SessionMessage.ID.make("msg_assistant"),
-          type: "assistant",
-          agent: Agent.defaultID,
-          model: { id: "test-model", providerID: "test-provider" },
-          content: [],
-          tokens: { input: tokens, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
-          time: { created: 0, completed: 0 },
-        }),
-      ],
-    })
-
-    expect(compaction.required(input(99))).toBe(false)
-    expect(compaction.required(input(100))).toBe(true)
-  }),
-)
-
 it.effect("manual compaction summarizes short context instead of no-op", () =>
   Effect.gen(function* () {
     requests = []