feat: OpenAI provider/types/UI updates; provider state persistence

packages/types/src/model.ts

@@ -4,7 +4,7 @@ import { z } from "zod"
  * ReasoningEffort
  */
 
-export const reasoningEfforts = ["low", "medium", "high"] as const
+export const reasoningEfforts = ["minimal", "low", "medium", "high"] as const
 
 export const reasoningEffortsSchema = z.enum(reasoningEfforts)
 
@@ -44,11 +44,19 @@ export const modelInfoSchema = z.object({
 	supportsImages: z.boolean().optional(),
 	supportsComputerUse: z.boolean().optional(),
 	supportsPromptCache: z.boolean(),
+	// Whether this model supports temperature. Some Responses models (e.g. o-series) do not.
+	supportsTemperature: z.boolean().optional(),
 	// Capability flag to indicate whether the model supports an output verbosity parameter
 	supportsVerbosity: z.boolean().optional(),
 	supportsReasoningBudget: z.boolean().optional(),
 	requiredReasoningBudget: z.boolean().optional(),
 	supportsReasoningEffort: z.boolean().optional(),
+	// Whether this model supports Responses API reasoning summaries
+	supportsReasoningSummary: z.boolean().optional(),
+	// The role to use for the system prompt ('system' or 'developer')
+	systemPromptRole: z.enum(["system", "developer"]).optional(),
+	// The default temperature for the model
+	defaultTemperature: z.number().optional(),
 	supportedParameters: z.array(modelParametersSchema).optional(),
 	inputPrice: z.number().optional(),
 	outputPrice: z.number().optional(),

packages/types/src/providers/__tests__/openai.models.spec.ts

@@ -0,0 +1,24 @@
+import { describe, it, expect } from "vitest"
+import { openAiNativeModels } from "../openai.js"
+import type { ModelInfo } from "../../model.js"
+
+describe("openAiNativeModels temperature invariants", () => {
+	it("models with supportsTemperature === false must not specify defaultTemperature", () => {
+		for (const [_id, info] of Object.entries(openAiNativeModels)) {
+			const modelInfo = info as ModelInfo & { supportsTemperature?: boolean; defaultTemperature?: number }
+			if (modelInfo.supportsTemperature === false) {
+				expect(modelInfo.defaultTemperature).toBeUndefined()
+			}
+		}
+	})
+
+	it("gpt-5 family models must have supportsTemperature: false and no defaultTemperature", () => {
+		const gpt5Ids = ["gpt-5-2025-08-07", "gpt-5-mini-2025-08-07", "gpt-5-nano-2025-08-07"]
+		for (const id of gpt5Ids) {
+			const info = openAiNativeModels[id as keyof typeof openAiNativeModels] as ModelInfo & { supportsTemperature?: boolean; defaultTemperature?: number }
+			expect(info).toBeDefined()
+			expect(info.supportsTemperature).toBe(false)
+			expect(info.defaultTemperature).toBeUndefined()
+		}
+	})
+})

packages/types/src/providers/openai.ts

@@ -3,7 +3,7 @@ import type { ModelInfo } from "../model.js"
 // https://openai.com/api/pricing/
 export type OpenAiNativeModelId = keyof typeof openAiNativeModels
 
-export const openAiNativeDefaultModelId: OpenAiNativeModelId = "gpt-5-2025-08-07"
+export const openAiNativeDefaultModelId: OpenAiNativeModelId = "gpt-5"
 
 export const openAiNativeModels = {
 	"gpt-5-2025-08-07": {
@@ -19,6 +19,28 @@ export const openAiNativeModels = {
 		description: "GPT-5: The best model for coding and agentic tasks across domains",
 		// supportsVerbosity is a new capability; ensure ModelInfo includes it
 		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
+	},
+	"gpt-5": {
+		maxTokens: 128000,
+		contextWindow: 400000,
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: true,
+		reasoningEffort: "medium",
+		inputPrice: 1.25,
+		outputPrice: 10.0,
+		cacheReadsPrice: 0.13,
+		description: "GPT-5: The best model for coding and agentic tasks across domains",
+		// supportsVerbosity is a new capability; ensure ModelInfo includes it
+		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"gpt-5-mini-2025-08-07": {
 		maxTokens: 128000,
@@ -32,6 +54,27 @@ export const openAiNativeModels = {
 		cacheReadsPrice: 0.03,
 		description: "GPT-5 Mini: A faster, more cost-efficient version of GPT-5 for well-defined tasks",
 		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
+	},
+	"gpt-5-mini": {
+		maxTokens: 128000,
+		contextWindow: 400000,
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: true,
+		reasoningEffort: "medium",
+		inputPrice: 0.25,
+		outputPrice: 2.0,
+		cacheReadsPrice: 0.03,
+		description: "GPT-5 Mini: A faster, more cost-efficient version of GPT-5 for well-defined tasks",
+		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"gpt-5-nano-2025-08-07": {
 		maxTokens: 128000,
@@ -45,6 +88,27 @@ export const openAiNativeModels = {
 		cacheReadsPrice: 0.01,
 		description: "GPT-5 Nano: Fastest, most cost-efficient version of GPT-5",
 		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
+	},
+	"gpt-5-nano": {
+		maxTokens: 128000,
+		contextWindow: 400000,
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: true,
+		reasoningEffort: "medium",
+		inputPrice: 0.05,
+		outputPrice: 0.4,
+		cacheReadsPrice: 0.01,
+		description: "GPT-5 Nano: Fastest, most cost-efficient version of GPT-5",
+		supportsVerbosity: true,
+		// GPT-5 supports Responses API reasoning summaries
+		supportsReasoningSummary: true,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"gpt-4.1": {
 		maxTokens: 32_768,
@@ -54,6 +118,9 @@ export const openAiNativeModels = {
 		inputPrice: 2,
 		outputPrice: 8,
 		cacheReadsPrice: 0.5,
+		systemPromptRole: "system",
+		defaultTemperature: 0,
+		supportsTemperature: true,
 	},
 	"gpt-4.1-mini": {
 		maxTokens: 32_768,
@@ -63,6 +130,9 @@ export const openAiNativeModels = {
 		inputPrice: 0.4,
 		outputPrice: 1.6,
 		cacheReadsPrice: 0.1,
+		systemPromptRole: "system",
+		defaultTemperature: 0,
+		supportsTemperature: true,
 	},
 	"gpt-4.1-nano": {
 		maxTokens: 32_768,
@@ -72,6 +142,9 @@ export const openAiNativeModels = {
 		inputPrice: 0.1,
 		outputPrice: 0.4,
 		cacheReadsPrice: 0.025,
+		systemPromptRole: "system",
+		defaultTemperature: 0,
+		supportsTemperature: true,
 	},
 	o3: {
 		maxTokens: 100_000,
@@ -83,26 +156,8 @@ export const openAiNativeModels = {
 		cacheReadsPrice: 0.5,
 		supportsReasoningEffort: true,
 		reasoningEffort: "medium",
-	},
-	"o3-high": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 2.0,
-		outputPrice: 8.0,
-		cacheReadsPrice: 0.5,
-		reasoningEffort: "high",
-	},
-	"o3-low": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 2.0,
-		outputPrice: 8.0,
-		cacheReadsPrice: 0.5,
-		reasoningEffort: "low",
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"o4-mini": {
 		maxTokens: 100_000,
@@ -114,26 +169,8 @@ export const openAiNativeModels = {
 		cacheReadsPrice: 0.275,
 		supportsReasoningEffort: true,
 		reasoningEffort: "medium",
-	},
-	"o4-mini-high": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 1.1,
-		outputPrice: 4.4,
-		cacheReadsPrice: 0.275,
-		reasoningEffort: "high",
-	},
-	"o4-mini-low": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 1.1,
-		outputPrice: 4.4,
-		cacheReadsPrice: 0.275,
-		reasoningEffort: "low",
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"o3-mini": {
 		maxTokens: 100_000,
@@ -145,26 +182,8 @@ export const openAiNativeModels = {
 		cacheReadsPrice: 0.55,
 		supportsReasoningEffort: true,
 		reasoningEffort: "medium",
-	},
-	"o3-mini-high": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: false,
-		supportsPromptCache: true,
-		inputPrice: 1.1,
-		outputPrice: 4.4,
-		cacheReadsPrice: 0.55,
-		reasoningEffort: "high",
-	},
-	"o3-mini-low": {
-		maxTokens: 100_000,
-		contextWindow: 200_000,
-		supportsImages: false,
-		supportsPromptCache: true,
-		inputPrice: 1.1,
-		outputPrice: 4.4,
-		cacheReadsPrice: 0.55,
-		reasoningEffort: "low",
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	o1: {
 		maxTokens: 100_000,
@@ -174,15 +193,8 @@ export const openAiNativeModels = {
 		inputPrice: 15,
 		outputPrice: 60,
 		cacheReadsPrice: 7.5,
-	},
-	"o1-preview": {
-		maxTokens: 32_768,
-		contextWindow: 128_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 15,
-		outputPrice: 60,
-		cacheReadsPrice: 7.5,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"o1-mini": {
 		maxTokens: 65_536,
@@ -192,15 +204,8 @@ export const openAiNativeModels = {
 		inputPrice: 1.1,
 		outputPrice: 4.4,
 		cacheReadsPrice: 0.55,
-	},
-	"gpt-4.5-preview": {
-		maxTokens: 16_384,
-		contextWindow: 128_000,
-		supportsImages: true,
-		supportsPromptCache: true,
-		inputPrice: 75,
-		outputPrice: 150,
-		cacheReadsPrice: 37.5,
+		systemPromptRole: "developer",
+		supportsTemperature: false,
 	},
 	"gpt-4o": {
 		maxTokens: 16_384,
@@ -210,6 +215,9 @@ export const openAiNativeModels = {
 		inputPrice: 2.5,
 		outputPrice: 10,
 		cacheReadsPrice: 1.25,
+		systemPromptRole: "system",
+		defaultTemperature: 0,
+		supportsTemperature: true,
 	},
 	"gpt-4o-mini": {
 		maxTokens: 16_384,
@@ -219,6 +227,8 @@ export const openAiNativeModels = {
 		inputPrice: 0.15,
 		outputPrice: 0.6,
 		cacheReadsPrice: 0.075,
+		systemPromptRole: "system",
+		defaultTemperature: 0,
 	},
 	"codex-mini-latest": {
 		maxTokens: 16_384,
@@ -240,13 +250,11 @@ export const openAiModelInfoSaneDefaults: ModelInfo = {
 	supportsPromptCache: false,
 	inputPrice: 0,
 	outputPrice: 0,
+	defaultTemperature: 0,
 }
 
 // https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation
 // https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#api-specs
 export const azureOpenAiDefaultApiVersion = "2024-08-01-preview"
 
-export const OPENAI_NATIVE_DEFAULT_TEMPERATURE = 0
-export const GPT5_DEFAULT_TEMPERATURE = 1.0
-
 export const OPENAI_AZURE_AI_INFERENCE_PATH = "/models/chat/completions"

src/api/index.ts

@@ -51,6 +51,20 @@ export interface ApiHandlerCreateMessageMetadata {
 	 * Used to enforce "skip once" after a condense operation.
 	 */
 	suppressPreviousResponseId?: boolean
+
+	/**
+	 * Force this call to operate statelessly (providers should set store=false and
+	 * suppress any previous_response_id). Intended for the first call after local
+	 * context rewriting (condense or sliding-window).
+	 */
+	forceStateless?: boolean
+
+	/**
+	 * Optional stable cache key for OpenAI Responses API caching.
+	 * When provided, providers that support it should pass it as prompt_cache_key.
+	 * Per-call metadata takes precedence over handler options.
+	 */
+	promptCacheKey?: string
 }
 
 export interface ApiHandler {

src/core/task-persistence/providerState.ts

@@ -0,0 +1,76 @@
+import * as path from "path"
+import * as fs from "fs/promises"
+
+import { safeWriteJson } from "../../utils/safeWriteJson"
+import { fileExistsAtPath } from "../../utils/fs"
+import { getTaskDirectoryPath } from "../../utils/storage"
+import { GlobalFileNames } from "../../shared/globalFileNames"
+
+/**
+ * Persistent state for OpenAI Native (Responses API) provider.
+ * Stores encrypted reasoning content (via conversationHistory) and lineage (lastResponseId)
+ * so stateless flows can be resumed across pauses, crashes, and task switches.
+ */
+export type OpenAiNativePersistentState = {
+	lastResponseId?: string
+	conversationHistory: any[]
+	/**
+	 * Pairing of assistant turn -> its encrypted reasoning artifact, for precise stateless restoration.
+	 * Each item is a Responses API input item containing the encrypted artifact for that responseId.
+	 */
+	encryptedArtifacts?: Array<{ responseId: string; item: any }>
+}
+
+export type ReadOpenAiNativeStateOptions = {
+	taskId: string
+	globalStoragePath: string
+}
+
+export type SaveOpenAiNativeStateOptions = ReadOpenAiNativeStateOptions & {
+	state: OpenAiNativePersistentState
+}
+
+/**
+ * Read provider state persisted for a specific task.
+ * Returns undefined if no state exists yet.
+ */
+export async function readOpenAiNativeState({
+	taskId,
+	globalStoragePath,
+}: ReadOpenAiNativeStateOptions): Promise<OpenAiNativePersistentState | undefined> {
+	const taskDir = await getTaskDirectoryPath(globalStoragePath, taskId)
+	const filePath = path.join(taskDir, GlobalFileNames.openAiNativeState)
+
+	try {
+		if (await fileExistsAtPath(filePath)) {
+			const raw = await fs.readFile(filePath, "utf8")
+			const parsed = JSON.parse(raw)
+			// Basic shape sanity
+			if (parsed && typeof parsed === "object" && Array.isArray(parsed.conversationHistory || [])) {
+				return parsed as OpenAiNativePersistentState
+			}
+		}
+	} catch (error) {
+		console.error(`[OpenAiNativeState] Failed to read state for task ${taskId}:`, error)
+	}
+
+	return undefined
+}
+
+/**
+ * Persist provider state to the task directory (atomic via safeWriteJson).
+ */
+export async function saveOpenAiNativeState({
+	taskId,
+	globalStoragePath,
+	state,
+}: SaveOpenAiNativeStateOptions): Promise<void> {
+	const taskDir = await getTaskDirectoryPath(globalStoragePath, taskId)
+	const filePath = path.join(taskDir, GlobalFileNames.openAiNativeState)
+
+	try {
+		await safeWriteJson(filePath, state)
+	} catch (error) {
+		console.error(`[OpenAiNativeState] Failed to write state for task ${taskId}:`, error)
+	}
+}

src/core/task/Task.ts

@@ -254,6 +254,10 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 	isAssistantMessageParserEnabled = false
 	private lastUsedInstructions?: string
 	private skipPrevResponseIdOnce: boolean = false
+	private forceStatelessNextCallOnce: boolean = false
+	// Re-entrancy guard for the first post-condense/sliding-window call
+	private _postCondenseFirstCallScheduled?: boolean
+	private _postCondenseFirstCallInFlight?: boolean
 
 	constructor({
 		provider,
@@ -841,6 +845,18 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 			{ isNonInteractive: true } /* options */,
 			contextCondense,
 		)
+		// Ensure the immediate next model call is stateless after manual condense,
+		// and suppress previous_response_id once to avoid lineage mismatches.
+		this.skipPrevResponseIdOnce = true
+		this.forceStatelessNextCallOnce = true
+		// Mark that the immediate next call is the post-condense first call (one-shot)
+		this._postCondenseFirstCallScheduled = true
+		this._postCondenseFirstCallInFlight = false
+		try {
+			this.providerRef
+				.deref()
+				?.log(`[post-condense] manual condense scheduled first-turn stateless call for task ${this.taskId}`)
+		} catch {}
 	}
 
 	async say(
@@ -2015,6 +2031,9 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 				state?.listApiConfigMeta.find((profile) => profile.name === state?.currentApiConfigName)?.id ??
 				"default"
 
+			// Track whether the immediate next call must be stateless due to local context rewriting.
+			let forceStatelessNextCall = false
+
 			const truncateResult = await truncateConversationIfNeeded({
 				messages: this.apiConversationHistory,
 				totalTokens: contextTokens,
@@ -2030,15 +2049,20 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 				profileThresholds,
 				currentProfileId,
 			})
-			if (truncateResult.messages !== this.apiConversationHistory) {
+
+			const didRewriteContext = truncateResult.messages !== this.apiConversationHistory
+
+			if (didRewriteContext) {
 				await this.overwriteApiConversationHistory(truncateResult.messages)
 			}
+
 			if (truncateResult.error) {
 				await this.say("condense_context_error", truncateResult.error)
 			} else if (truncateResult.summary) {
 				// A condense operation occurred; for the next GPT‑5 API call we should NOT
 				// send previous_response_id so the request reflects the fresh condensed context.
 				this.skipPrevResponseIdOnce = true
+				forceStatelessNextCall = true
 
 				const { summary, cost, prevContextTokens, newContextTokens = 0 } = truncateResult
 				const contextCondense: ContextCondense = { summary, cost, newContextTokens, prevContextTokens }
@@ -2052,6 +2076,36 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 					{ isNonInteractive: true } /* options */,
 					contextCondense,
 				)
+			} else if (didRewriteContext) {
+				// Sliding-window truncation occurred (messages changed without a condense summary).
+				// Force the immediate next call to be stateless to align server state with locally rewritten context.
+				forceStatelessNextCall = true
+			}
+
+			// Persist the decision for this turn so we can include it in metadata for the next call.
+			if (forceStatelessNextCall) {
+				this.forceStatelessNextCallOnce = true
+				// Schedule one-shot guard for the first call after condense/sliding-window.
+				// Do not reset inFlight if a first-turn call is already in progress.
+				if (!this._postCondenseFirstCallScheduled) {
+					this._postCondenseFirstCallScheduled = true
+					this._postCondenseFirstCallInFlight = false
+					try {
+						this.providerRef
+							.deref()
+							?.log(
+								`[post-condense] scheduled first-turn guard (stateless next call) for task ${this.taskId}`,
+							)
+					} catch {}
+				} else {
+					try {
+						this.providerRef
+							.deref()
+							?.log(
+								`[post-condense] guard already scheduled; leaving in-flight state unchanged (task ${this.taskId})`,
+							)
+					} catch {}
+				}
 			}
 		}
 
@@ -2102,12 +2156,36 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 			...(previousResponseId ? { previousResponseId } : {}),
 			// If a condense just occurred, explicitly suppress continuity fallback for the next call
 			...(this.skipPrevResponseIdOnce ? { suppressPreviousResponseId: true } : {}),
+			// If either condense or sliding-window rewrote the local context, force stateless for the next call.
+			...(this.forceStatelessNextCallOnce ? { forceStateless: true } : {}),
 		}
 
-		// Reset skip flag after applying (it only affects the immediate next call)
+		// Reset one-shot flags after applying (they only affect the immediate next call)
 		if (this.skipPrevResponseIdOnce) {
 			this.skipPrevResponseIdOnce = false
 		}
+		if (this.forceStatelessNextCallOnce) {
+			this.forceStatelessNextCallOnce = false
+		}
+
+		// Re-entrancy guard: one-shot in-flight guard for the first post-condense/sliding-window call.
+		// If an external second trigger arrives while the first is in-flight, no-op the duplicate.
+		if (this._postCondenseFirstCallScheduled) {
+			if (this._postCondenseFirstCallInFlight && retryAttempt === 0) {
+				// Duplicate external trigger detected - no-op for this call
+				try {
+					this.providerRef
+						.deref()
+						?.log(`[post-condense] suppressing duplicate first-turn trigger (task ${this.taskId})`)
+				} catch {}
+				return
+			}
+			// Acquire the guard for this first-call window
+			this._postCondenseFirstCallInFlight = true
+			try {
+				this.providerRef.deref()?.log(`[post-condense] acquired first-turn guard (task ${this.taskId})`)
+			} catch {}
+		}
 
 		const stream = this.api.createMessage(systemPrompt, cleanConversationHistory, metadata)
 		const iterator = stream[Symbol.asyncIterator]()
@@ -2176,6 +2254,15 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 				// incremented retry count.
 				yield* this.attemptApiRequest(retryAttempt + 1)
 
+				// After the retried call completes, release the post-condense guard
+				this._postCondenseFirstCallScheduled = false
+				this._postCondenseFirstCallInFlight = false
+				try {
+					this.providerRef
+						.deref()
+						?.log(`[post-condense] released first-turn guard after retry completion (task ${this.taskId})`)
+				} catch {}
+
 				return
 			} else {
 				const { response } = await this.ask(
@@ -2193,6 +2280,10 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 
 				// Delegate generator output from the recursive call.
 				yield* this.attemptApiRequest()
+
+				// After the retried call completes, release the post-condense guard
+				this._postCondenseFirstCallScheduled = false
+				this._postCondenseFirstCallInFlight = false
 				return
 			}
 		}
@@ -2206,6 +2297,14 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 		// effectively passes along all subsequent chunks from the original
 		// stream.
 		yield* iterator
+		// Release one-shot post-condense guard after successful stream completion
+		this._postCondenseFirstCallScheduled = false
+		this._postCondenseFirstCallInFlight = false
+		try {
+			this.providerRef
+				.deref()
+				?.log(`[post-condense] released first-turn guard after completion (task ${this.taskId})`)
+		} catch {}
 	}
 
 	// Checkpoints
@@ -2283,6 +2382,14 @@ export class Task extends EventEmitter<TaskEvents> implements TaskLike {
 
 	// Getters
 
+	public get isPostCondenseFirstCallScheduled(): boolean {
+		return !!this._postCondenseFirstCallScheduled
+	}
+
+	public get isPostCondenseFirstCallInFlight(): boolean {
+		return !!this._postCondenseFirstCallInFlight
+	}
+
 	public get cwd() {
 		return this.workspacePath
 	}

src/core/task/__tests__/Task.spec.ts

@@ -18,6 +18,7 @@ import { MultiSearchReplaceDiffStrategy } from "../../diff/strategies/multi-sear
 import { MultiFileSearchReplaceDiffStrategy } from "../../diff/strategies/multi-file-search-replace"
 import { EXPERIMENT_IDS } from "../../../shared/experiments"
 
+import * as slidingWindowModule from "../../sliding-window"
 // Mock delay before any imports that might use it
 vi.mock("delay", () => ({
 	__esModule: true,
@@ -1615,3 +1616,152 @@ describe("Cline", () => {
 		})
 	})
 })
+
+// Additional tests for stateless override behavior after condense/sliding-window
+
+describe("Stateless overrides after context rewriting", () => {
+	const makeSimpleStream = (text: string = "ok"): AsyncGenerator<ApiStreamChunk> =>
+		(async function* () {
+			yield { type: "text", text } as any
+		})() as any
+
+	const makeProvider = () =>
+		({
+			context: { globalStorageUri: { fsPath: "/tmp/test-storage" } },
+			getState: vi.fn().mockResolvedValue({
+				// minimal state used by attemptApiRequest
+				apiConfiguration: { apiProvider: "anthropic", apiModelId: "claude-3" },
+				autoApprovalEnabled: true,
+				alwaysApproveResubmit: false,
+				requestDelaySeconds: 0,
+				autoCondenseContext: true,
+				autoCondenseContextPercent: 100,
+				profileThresholds: {},
+				listApiConfigMeta: [],
+			}),
+			postStateToWebview: vi.fn().mockResolvedValue(undefined),
+			postMessageToWebview: vi.fn().mockResolvedValue(undefined),
+			updateTaskHistory: vi.fn().mockResolvedValue(undefined),
+			log: vi.fn(),
+		}) as any
+
+	it("passes metadata.forceStateless=true (and suppressPreviousResponseId) on the next call after condense", async () => {
+		const provider = makeProvider()
+		const cline = new Task({
+			provider,
+			apiConfiguration: { apiProvider: "anthropic", apiModelId: "claude-3" },
+			task: "test",
+			startTask: false,
+		})
+
+		// Force contextTokens > 0 so the condense/sliding-window logic runs
+		vi.spyOn(cline, "getTokenUsage").mockReturnValue({ contextTokens: 100 } as any)
+
+		// Mock truncateConversationIfNeeded to simulate a condense (summary present)
+		const condenseMessages = [
+			{ role: "user", content: [{ type: "text", text: "Please continue from the following summary:" }] },
+			{ role: "assistant", content: [{ type: "text", text: "Condensed summary" }], isSummary: true },
+		] as any
+		const truncateSpy = vi.spyOn(slidingWindowModule, "truncateConversationIfNeeded").mockResolvedValue({
+			messages: condenseMessages,
+			summary: "Condensed summary",
+			cost: 0,
+			newContextTokens: 50,
+			prevContextTokens: 100,
+		} as any)
+
+		// Spy on createMessage to capture metadata
+		const cmSpy = vi.spyOn(cline.api, "createMessage").mockReturnValue(makeSimpleStream("done"))
+
+		const it1 = cline.attemptApiRequest(0)
+		await it1.next()
+
+		expect(truncateSpy).toHaveBeenCalled()
+		expect(cmSpy).toHaveBeenCalled()
+		const call = cmSpy.mock.calls[0]
+		const metadata = call?.[2] as any
+		expect(metadata).toBeDefined()
+		expect(metadata.forceStateless).toBe(true)
+		// After condense we also suppress previous_response_id
+		expect(metadata.suppressPreviousResponseId).toBe(true)
+	})
+
+	it("passes metadata.forceStateless=true (without suppressPreviousResponseId) on the next call after sliding-window truncation", async () => {
+		const provider = makeProvider()
+		const cline = new Task({
+			provider,
+			apiConfiguration: { apiProvider: "anthropic", apiModelId: "claude-3" },
+			task: "test",
+			startTask: false,
+		})
+
+		// Force contextTokens > 0 so the condense/sliding-window logic runs
+		vi.spyOn(cline, "getTokenUsage").mockReturnValue({ contextTokens: 200 } as any)
+
+		// Mock truncateConversationIfNeeded to simulate sliding-window truncation (no summary, messages changed)
+		const truncatedMessages = [
+			{ role: "user", content: [{ type: "text", text: "First message" }] },
+			{ role: "assistant", content: [{ type: "text", text: "Fourth message" }] },
+			{ role: "user", content: [{ type: "text", text: "Fifth message" }] },
+		] as any
+		const truncateSpy = vi.spyOn(slidingWindowModule, "truncateConversationIfNeeded").mockResolvedValue({
+			messages: truncatedMessages,
+			summary: "",
+			cost: 0,
+			prevContextTokens: 200,
+		} as any)
+
+		// Spy on createMessage to capture metadata
+		const cmSpy = vi.spyOn(cline.api, "createMessage").mockReturnValue(makeSimpleStream("done"))
+
+		const it1 = cline.attemptApiRequest(0)
+		await it1.next()
+
+		expect(truncateSpy).toHaveBeenCalled()
+		expect(cmSpy).toHaveBeenCalled()
+		const call = cmSpy.mock.calls[0]
+		const metadata = call?.[2] as any
+		expect(metadata).toBeDefined()
+		expect(metadata.forceStateless).toBe(true)
+		// Sliding-window path does not set suppressPreviousResponseId in metadata (provider will suppress via forceStateless)
+		expect(metadata.suppressPreviousResponseId).toBeUndefined()
+	})
+	it("only initiates one provider call for the first post-condense turn, even if two triggers fire", async () => {
+		const provider = makeProvider()
+		const cline = new Task({
+			provider,
+			apiConfiguration: { apiProvider: "anthropic", apiModelId: "claude-3" },
+			task: "test",
+			startTask: false,
+		})
+
+		// Ensure condense/sliding-window logic runs
+		vi.spyOn(cline, "getTokenUsage").mockReturnValue({ contextTokens: 100 } as any)
+
+		// Mock condense result to schedule the first post-condense call as stateless
+		const condenseMessages = [
+			{ role: "user", content: [{ type: "text", text: "Please continue from summary" }] },
+			{ role: "assistant", content: [{ type: "text", text: "Condensed summary" }], isSummary: true },
+		] as any
+		vi.spyOn(slidingWindowModule, "truncateConversationIfNeeded").mockResolvedValue({
+			messages: condenseMessages,
+			summary: "Condensed summary",
+			cost: 0,
+			newContextTokens: 50,
+			prevContextTokens: 100,
+		} as any)
+
+		// Spy on provider call and return a simple stream
+		const cmSpy = vi.spyOn(cline.api, "createMessage").mockReturnValue(makeSimpleStream("done"))
+
+		// Fire two triggers for the "first turn after condense"
+		const it1 = cline.attemptApiRequest(0)
+		await it1.next() // enters request, sets in-flight guard
+
+		const it2 = cline.attemptApiRequest(0)
+		await it2.next() // should no-op due to re-entrancy guard
+
+		// Exactly one provider invocation
+		expect(cmSpy).toHaveBeenCalledTimes(1)
+	})
+})

src/core/webview/webviewMessageHandler.ts

@@ -125,6 +125,18 @@ export const webviewMessageHandler = async (
 
 					// Initialize with history item after deletion
 					await provider.initClineWithHistoryItem(historyItem)
+
+					// Invalidate GPT‑5 continuity for the newly initialized task so the next call does NOT
+					// send previous_response_id (prevents mismatched lineage after delete/trim).
+					try {
+						const newCline = provider.getCurrentCline()
+						if (newCline) {
+							// Call overwriteClineMessages with the same array to trigger the one-turn suppression flag.
+							await newCline.overwriteClineMessages(newCline.clineMessages)
+						}
+					} catch (e) {
+						console.error("Failed to invalidate continuity after delete:", e)
+					}
 				} catch (error) {
 					console.error("Error in delete message:", error)
 					vscode.window.showErrorMessage(
@@ -345,9 +357,27 @@ export const webviewMessageHandler = async (
 			await updateGlobalState("alwaysAllowUpdateTodoList", message.bool)
 			await provider.postStateToWebview()
 			break
-		case "askResponse":
+		case "askResponse": {
+			const cline = provider.getCurrentCline?.()
+			// Optional single-flight guard: if the special first post-condense turn is in-flight,
+			// suppress duplicate UI-triggered sends to avoid racing a scheduled stateless call.
+			if (
+				cline &&
+				typeof (cline as any).isPostCondenseFirstCallScheduled === "boolean" &&
+				typeof (cline as any).isPostCondenseFirstCallInFlight === "boolean" &&
+				(cline as any).isPostCondenseFirstCallScheduled &&
+				(cline as any).isPostCondenseFirstCallInFlight
+			) {
+				try {
+					provider.log?.(
+						`[webview] askResponse suppressed during post-condense first-turn in-flight for task ${(cline as any).taskId}`,
+					)
+				} catch {}
+				break
+			}
 			provider.getCurrentCline()?.handleWebviewAskResponse(message.askResponse!, message.text, message.images)
 			break
+		}
 		case "autoCondenseContext":
 			await updateGlobalState("autoCondenseContext", message.bool)
 			await provider.postStateToWebview()

src/shared/api.ts

@@ -14,6 +14,20 @@ export type ApiHandlerOptions = Omit<ProviderSettings, "apiProvider"> & {
 	 * Defaults to true; set to false to disable summaries.
 	 */
 	enableGpt5ReasoningSummary?: boolean
+
+	/**
+	 * Controls statefulness for Responses API.
+	 * When false, treat interactions as stateless and avoid using previous_response_id.
+	 * The provider will include encrypted reasoning content to allow passing it back explicitly.
+	 * Defaults to true (stateful) if not provided.
+	 */
+	store?: boolean
+
+	/**
+	 * Optional default cache key for OpenAI Responses API prompt bucketing.
+	 * Per-call metadata.promptCacheKey takes precedence when provided.
+	 */
+	promptCacheKey?: string
 }
 
 // RouterName

src/shared/globalFileNames.ts

@@ -4,4 +4,5 @@ export const GlobalFileNames = {
 	mcpSettings: "mcp_settings.json",
 	customModes: "custom_modes.yaml",
 	taskMetadata: "task_metadata.json",
+	openAiNativeState: "openai_native_state.json",
 }

webview-ui/src/components/chat/ChatRow.tsx

@@ -115,7 +115,8 @@ export const ChatRowContent = ({
 }: ChatRowContentProps) => {
 	const { t } = useTranslation()
 	const { mcpServers, alwaysAllowMcp, currentCheckpoint, mode } = useExtensionState()
-	const [reasoningCollapsed, setReasoningCollapsed] = useState(true)
+	const [reasoningCollapsed, setReasoningCollapsed] = useState<boolean>(true)
+
 	const [isDiffErrorExpanded, setIsDiffErrorExpanded] = useState(false)
 	const [showCopySuccess, setShowCopySuccess] = useState(false)
 	const [isEditing, setIsEditing] = useState(false)

webview-ui/src/components/chat/ReasoningBlock.tsx

@@ -57,6 +57,8 @@ export const ReasoningBlock = ({ content, elapsed, isCollapsed = false, onToggle
 		processNextTransition()
 	})
 
+	// Update the preview line only when there's a meaningful delta
+	// Restore previous thresholded behavior to keep collapsed header UX (counter) stable.
 	useEffect(() => {
 		if (content.length - cursorRef.current > 160) {
 			setThought("... " + content.slice(cursorRef.current))

webview-ui/src/components/settings/ApiOptions.tsx

@@ -648,11 +648,14 @@ const ApiOptions = ({
 							fuzzyMatchThreshold={apiConfiguration.fuzzyMatchThreshold}
 							onChange={(field, value) => setApiConfigurationField(field, value)}
 						/>
-						<TemperatureControl
-							value={apiConfiguration.modelTemperature}
-							onChange={handleInputChange("modelTemperature", noTransform)}
-							maxValue={2}
-						/>
+						{/* Hide temperature UI when the selected model does not support temperature */}
+						{selectedModelInfo?.supportsTemperature !== false && (
+							<TemperatureControl
+								value={apiConfiguration.modelTemperature}
+								onChange={handleInputChange("modelTemperature", noTransform)}
+								maxValue={2}
+							/>
+						)}
 						<RateLimitSecondsControl
 							value={apiConfiguration.rateLimitSeconds || 0}
 							onChange={(value) => setApiConfigurationField("rateLimitSeconds", value)}

webview-ui/src/components/settings/ThinkingBudget.tsx

@@ -36,12 +36,16 @@ export const ThinkingBudget = ({ apiConfiguration, setApiConfigurationField, mod
 	// Only show minimal for OpenAI Native provider GPT-5 models
 	const isOpenAiNativeProvider = apiConfiguration.apiProvider === "openai-native"
 	const isGpt5Model = isOpenAiNativeProvider && selectedModelId && selectedModelId.startsWith("gpt-5")
-	// Add "minimal" option for GPT-5 models
-	// Spread to convert readonly tuple into a mutable array, then expose as readonly for safety
+	// Build list of efforts:
+	// - If GPT‑5 (OpenAI Native), include "minimal"
+	// - Otherwise hide "minimal"
+	// Also de‑dupe in case the source list already includes "minimal"
 	const baseEfforts = [...reasoningEfforts] as ReasoningEffortWithMinimal[]
+	const withMinimal = Array.from(new Set<ReasoningEffortWithMinimal>(["minimal", ...baseEfforts]))
+	const withoutMinimal = baseEfforts.filter((v) => v !== "minimal") as ReasoningEffortWithMinimal[]
 	const availableReasoningEfforts: ReadonlyArray<ReasoningEffortWithMinimal> = isGpt5Model
-		? (["minimal", ...baseEfforts] as ReasoningEffortWithMinimal[])
-		: baseEfforts
+		? withMinimal
+		: withoutMinimal
 
 	// Default reasoning effort - use model's default if available
 	// GPT-5 models have "medium" as their default in the model configuration