diff --git a/packages/ai/src/protocols/open-responses.ts b/packages/ai/src/protocols/open-responses.ts index 80a0299ce35..62430ee0c25 100644 --- a/packages/ai/src/protocols/open-responses.ts +++ b/packages/ai/src/protocols/open-responses.ts @@ -79,10 +79,60 @@ const OpenResponsesReasoningItem = Schema.Struct({ encrypted_content: optionalNull(Schema.String), }) -const OpenResponsesItemReference = Schema.Struct({ - type: Schema.tag("item_reference"), - id: Schema.String, -}) +const OpenResponsesWebSearchCall = Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("web_search_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + action: optionalNull(JsonObject), + }), + [JsonObject], +) + +const OpenResponsesFileSearchCall = Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("file_search_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + queries: Schema.optional(Schema.Array(Schema.String)), + results: optionalNull(Schema.Array(JsonObject)), + }), + [JsonObject], +) + +const OpenResponsesCodeInterpreterCall = Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("code_interpreter_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + code: optionalNull(Schema.String), + container_id: optionalNull(Schema.String), + outputs: optionalNull(Schema.Array(JsonObject)), + }), + [JsonObject], +) + +const OpenResponsesMCPCall = Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("mcp_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + server_label: Schema.optional(Schema.String), + name: Schema.optional(Schema.String), + arguments: Schema.optional(Schema.String), + output: optionalNull(Schema.String), + error: Schema.optional(Schema.Unknown), + }), + [JsonObject], +) + +export const HostedToolItem = Schema.Union([ + OpenResponsesWebSearchCall, + OpenResponsesFileSearchCall, + OpenResponsesCodeInterpreterCall, + OpenResponsesMCPCall, +]) +export type HostedToolItem = Schema.Schema.Type // `function_call_output.output` accepts either a plain string or an ordered // array of content items so tools can return images and files in addition to text. @@ -111,7 +161,6 @@ export const InputItem = Schema.Union([ phase: Schema.optionalKey(MessagePhase), }), OpenResponsesReasoningItem, - OpenResponsesItemReference, Schema.Struct({ type: Schema.tag("function_call"), id: Schema.optionalKey(Schema.String), @@ -124,10 +173,17 @@ export const InputItem = Schema.Union([ call_id: Schema.String, output: OpenResponsesFunctionCallOutput, }), + HostedToolItem, ]) type OpenResponsesInputItem = Schema.Schema.Type +export type ExtendedHostedToolItem = { + readonly type: string + readonly id: string + readonly [key: string]: unknown +} type LoweredInputItem = | OpenResponsesInputItem + | ExtendedHostedToolItem | { readonly type: "message" readonly id?: string @@ -317,7 +373,7 @@ export const Event = Schema.StructWithRest( export type Event = Schema.Schema.Type // Which lowered input item a persisted item id is about to be attached to. -export type ItemKind = "message" | "reasoning" | "function-call" | "reference" +export type ItemKind = "message" | "reasoning" | "function-call" | "hosted-tool" export interface Extension { readonly id: string @@ -327,6 +383,7 @@ export interface Extension { readonly media: ProviderShared.NormalizedMedia readonly request: LLMRequest }) => MediaInput | undefined + readonly lowerHostedToolItem?: (item: unknown) => ExtendedHostedToolItem | undefined // Optional grammar check applied before a persisted item id is resent as // part of replayed history. Returning false drops the id; every lowered // item treats a dropped id the same as an absent one. @@ -346,7 +403,6 @@ export interface ParserState { readonly messageItems: ReadonlySet readonly messagePhases: Readonly> readonly reasoningItems: Readonly> - readonly store: boolean | undefined } type ReasoningSummaryStatus = "active" | "can-conclude" | "concluded" @@ -531,7 +587,6 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques const system: LoweredInputItem[] = request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }] const input: LoweredInputItem[] = [...system] - const store = OpenResponsesOptions.resolve(request).store const providerMetadataKey = request.model.route.providerMetadataKey ?? "openresponses" for (const message of request.messages) { @@ -554,8 +609,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques if (message.role === "assistant") { const content: TextPart[] = [] const reasoningItems: Record = {} - const reasoningReferences = new Set() - const hostedToolReferences = new Set() + const hostedToolItems = new Set() const flushText = () => { if (content.length === 0) return const groups = content.reduce< @@ -590,11 +644,6 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques flushText() const reasoning = lowerReasoning(part, providerMetadataKey, extension) if (!reasoning) continue - if (store !== false) { - if (!reasoningReferences.has(reasoning.id)) input.push({ type: "item_reference", id: reasoning.id }) - reasoningReferences.add(reasoning.id) - continue - } const existing = reasoningItems[reasoning.id] if (existing) { existing.summary.push(...reasoning.summary) @@ -615,24 +664,29 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques if (part.type === "tool-result" && part.providerExecuted === true) { flushText() const id = itemID(part.providerMetadata, providerMetadataKey) - const reference = acceptsItemID(extension, "reference", id) ? id : undefined - if (store !== false && reference && !hostedToolReferences.has(reference)) - input.push({ type: "item_reference", id: reference }) - if (store === false) { - // The server is not storing this exchange, so the tool outcome has to - // travel in the input. Non-content results degrade to their text form. - const content: ReadonlyArray = - part.result.type === "content" + const hosted = + part.result.type !== "json" + ? undefined + : Schema.is(HostedToolItem)(part.result.value) ? part.result.value - : [{ type: "text", text: ProviderShared.toolResultText(part) }] - input.push({ - role: "user", - content: yield* Effect.forEach(content, (item) => - lowerHostedToolResultContentItem(item, request, extension), - ), - }) + : extension.lowerHostedToolItem?.(part.result.value) + if (acceptsItemID(extension, "hosted-tool", id) && hosted?.id === id) { + if (!hostedToolItems.has(id)) { + input.push(hosted) + hostedToolItems.add(id) + } + continue } - if (reference) hostedToolReferences.add(reference) + const content: ReadonlyArray = + part.result.type === "content" + ? part.result.value + : [{ type: "text", text: ProviderShared.toolResultText(part) }] + input.push({ + role: "user", + content: yield* Effect.forEach(content, (item) => + lowerHostedToolResultContentItem(item, request, extension), + ), + }) continue } return yield* ProviderShared.unsupportedContent(extension.name, "assistant", [ @@ -964,31 +1018,21 @@ const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResul if (!event.item_id || event.summary_index === undefined) return [state, NO_EVENTS] const item = state.reasoningItems[event.item_id] if (!item) return [state, NO_EVENTS] - const events: LLMEvent[] = [] return [ { ...state, - lifecycle: - state.store !== false - ? Lifecycle.reasoningEnd( - state.lifecycle, - events, - `${event.item_id}:${event.summary_index}`, - providerMetadata(state, { itemId: event.item_id }), - ) - : state.lifecycle, reasoningItems: { ...state.reasoningItems, [event.item_id]: { ...item, summaryParts: { ...item.summaryParts, - [event.summary_index]: state.store !== false ? "concluded" : "can-conclude", + [event.summary_index]: "can-conclude", }, }, }, }, - events, + NO_EVENTS, ] } @@ -1291,7 +1335,6 @@ export const initial = (request: LLMRequest, extension: Extension = BASE): Parse messageItems: new Set(), messagePhases: {}, reasoningItems: {}, - store: OpenResponsesOptions.resolve(request).store, }) export const protocol = Protocol.make({ diff --git a/packages/ai/src/protocols/openai-responses.ts b/packages/ai/src/protocols/openai-responses.ts index b230e8f1f5f..1d1ecff4647 100644 --- a/packages/ai/src/protocols/openai-responses.ts +++ b/packages/ai/src/protocols/openai-responses.ts @@ -7,7 +7,7 @@ import { Protocol } from "../route/protocol.js" import { HttpTransport } from "../route/transport/index.js" import { LLMRequest, type JsonSchema, type ToolDefinition } from "../schema/index.js" import { OpenResponses } from "./open-responses.js" -import { optionalArray, ProviderShared } from "./shared.js" +import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js" import { OpenAIImage } from "./utils/openai-image.js" import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js" import { ToolSchemaProjection } from "./utils/tool-schema.js" @@ -32,6 +32,40 @@ const OpenAIResponsesImageGenerationTool = Schema.Struct({ size: Schema.optional(OpenAIImage.Size), }) +const OpenAIResponsesHostedToolItem = Schema.Union([ + Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("computer_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + call_id: Schema.optional(Schema.String), + action: optionalNull(JsonObject), + pending_safety_checks: Schema.optional(Schema.Array(JsonObject)), + }), + [JsonObject], + ), + Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("web_search_preview_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + action: optionalNull(JsonObject), + }), + [JsonObject], + ), + Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("image_generation_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + result: optionalNull(Schema.String), + output_format: Schema.optional(Schema.Literals(["png", "jpeg", "webp"])), + revised_prompt: optionalNull(Schema.String), + }), + [JsonObject], + ), +]) + const OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool]) const OpenAIResponsesToolChoice = Schema.Union([ @@ -41,6 +75,7 @@ const OpenAIResponsesToolChoice = Schema.Union([ const OpenAIResponsesCoreFields = { ...OpenResponses.coreFields, + input: Schema.Array(Schema.Union([OpenResponses.InputItem, OpenAIResponsesHostedToolItem])), tools: optionalArray(OpenAIResponsesTools), tool_choice: Schema.optional(OpenAIResponsesToolChoice), } @@ -54,21 +89,21 @@ export type OpenAIResponsesBody = Schema.Schema.Type // Replayed items are paired with stored server state by id, so a foreign or // synthetic token can fail request validation even when `call_id` pairing is // intact. Only resend ids in each item kind's own grammar; hosted tool -// references keep generic validation because every hosted tool mints its own +// items keep generic validation because every hosted tool mints its own // prefix. The same allowlist approach codex uses before resending history // (codex-rs core/src/client.rs, `prepare_response_items_for_request`). const ITEM_ID_PREFIXES: Record> = { message: ["msg_"], reasoning: ["rs_"], "function-call": ["fc_"], - // Every hosted tool mints its own id prefix, so references keep generic - // validation only. - reference: [], + // Every hosted tool mints its own id prefix, so items keep generic validation. + "hosted-tool": [], } const extension = { id: ADAPTER, name: NAME, + lowerHostedToolItem: (item: unknown) => (Schema.is(OpenAIResponsesHostedToolItem)(item) ? item : undefined), acceptsItemID: (kind: OpenResponses.ItemKind, id: string) => { const prefixes = ITEM_ID_PREFIXES[kind] return prefixes.length === 0 || prefixes.some((prefix) => id.startsWith(prefix)) @@ -105,6 +140,8 @@ const lowerToolChoice = (toolChoice: NonNullable, tool : { type: "function" as const, name }, }) +const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIResponsesBody)) + const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: LLMRequest) { const body = yield* OpenResponses.fromRequestWithExtension( LLMRequest.update(request, { tools: [], toolChoice: undefined }), @@ -112,7 +149,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: ) const toolSchemaCompatibility = request.model.compatibility?.toolSchema const parallelToolCalls = OpenResponses.resolveParallelToolCalls(request) - return { + return yield* decodeBody({ ...body, ...(parallelToolCalls === undefined ? {} : { parallel_tool_calls: parallelToolCalls }), tools: @@ -123,7 +160,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: ), tool_choice: body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined), - } satisfies OpenAIResponsesBody + }) }) const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: ResponsesHostedTools.Item) { diff --git a/packages/ai/src/protocols/xai-responses.ts b/packages/ai/src/protocols/xai-responses.ts index 9a620927c24..150237b07e8 100644 --- a/packages/ai/src/protocols/xai-responses.ts +++ b/packages/ai/src/protocols/xai-responses.ts @@ -1,15 +1,52 @@ +import { Effect, Schema } from "effect" import { Protocol } from "../route/protocol.js" +import type { LLMRequest } from "../schema/index.js" import { OpenResponses } from "./open-responses.js" +import { JsonObject, optionalNull, ProviderShared } from "./shared.js" import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js" const ADAPTER = "xai-responses" const NAME = "xAI Responses" +const XAIResponsesHostedToolItem = Schema.Union([ + Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("x_search_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + action: optionalNull(JsonObject), + }), + [JsonObject], + ), + Schema.StructWithRest( + Schema.Struct({ + type: Schema.tag("image_generation_call"), + id: Schema.String, + status: Schema.optional(Schema.String), + result: Schema.optional(Schema.Unknown), + error: Schema.optional(Schema.Unknown), + }), + [JsonObject], + ), +]) + +const XAIResponsesBody = Schema.Struct({ + ...OpenResponses.coreFields, + input: Schema.Array(Schema.Union([OpenResponses.InputItem, XAIResponsesHostedToolItem])), + stream: Schema.Literal(true), +}) + const extension = { id: ADAPTER, name: NAME, + lowerHostedToolItem: (item: unknown) => (Schema.is(XAIResponsesHostedToolItem)(item) ? item : undefined), } satisfies OpenResponses.Extension +const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(XAIResponsesBody)) +const fromRequest = Effect.fn("XAIResponses.fromRequest")(function* (request: LLMRequest) { + return yield* decodeBody(yield* OpenResponses.fromRequestWithExtension(request, extension)) +}) + const HOSTED_TOOLS = { web_search_call: { name: "web_search", input: (item) => item.action ?? {} }, x_search_call: { name: "x_search", input: (item) => item.action ?? {} }, @@ -35,7 +72,10 @@ const step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => { export const protocol = Protocol.make({ id: ADAPTER, - body: OpenResponses.protocol.body, + body: { + schema: XAIResponsesBody, + from: fromRequest, + }, stream: { event: OpenResponses.protocol.stream.event, initial: (request) => OpenResponses.initial(request, extension), diff --git a/packages/ai/test/fixtures/recordings/openai-responses-images/generates-and-edits-an-image-with-the-hosted-tool.json b/packages/ai/test/fixtures/recordings/openai-responses-images/generates-and-edits-an-image-with-the-hosted-tool.json index cfaa5fc8beb..457e7de5162 100644 --- a/packages/ai/test/fixtures/recordings/openai-responses-images/generates-and-edits-an-image-with-the-hosted-tool.json +++ b/packages/ai/test/fixtures/recordings/openai-responses-images/generates-and-edits-an-image-with-the-hosted-tool.json @@ -1,13 +1,9 @@ { "version": 1, "metadata": { - "tags": [ - "prefix:openai-responses-images", - "provider:openai", - "protocol:openai-responses" - ], + "tags": ["prefix:openai-responses-images", "provider:openai", "protocol:openai-responses"], "name": "openai-responses-images/generates-and-edits-an-image-with-the-hosted-tool", - "recordedAt": "2026-08-20T06:30:06.066Z" + "recordedAt": "2026-08-25T18:15:53.246Z" }, "interactions": [ { @@ -25,7 +21,7 @@ "headers": { "content-type": "text/event-stream; charset=utf-8" }, - "body": "event: response.created\ndata: 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straightforward\",\"item_id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"obfuscation\":\"\",\"output_index\":0,\"sequence_number\":182,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\".\",\"item_id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"obfuscation\":\"fozzDMXu8x9YuGu\",\"output_index\":0,\"sequence_number\":183,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.done\ndata: {\"type\":\"response.reasoning_summary_text.done\",\"item_id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"output_index\":0,\"sequence_number\":184,\"summary_index\":1,\"text\":\"**Processing image generation guidelines**\\n\\nI understand the guidance: after generating each image, my final assistant message should be an empty string. But I’m unsure if the platform requires some content. I have to follow the tool instructions and call image_gen.imagegen with my prompt in the commentary channel. Even though the final message should be empty, I want to be cautious about what it expects. It looks like I’ll be sending the tool call now, keeping it straightforward.\"}\n\nevent: response.reasoning_summary_part.done\ndata: {\"type\":\"response.reasoning_summary_part.done\",\"item_id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"output_index\":0,\"part\":{\"type\":\"summary_text\",\"text\":\"**Processing image generation guidelines**\\n\\nI understand the guidance: after generating each image, my final assistant message should be an empty string. But I’m unsure if the platform requires some content. I have to follow the tool instructions and call image_gen.imagegen with my prompt in the commentary channel. Even though the final message should be empty, I want to be cautious about what it expects. It looks like I’ll be sending the tool call now, keeping it straightforward.\"},\"sequence_number\":185,\"summary_index\":1}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqhp7Nf21loRDUaX1soll_zgs4kBQ87IivcrUUySjfVl6lIQ8QEIcB4rP85uopWNliGHWIrDXKS9jZjjVvyoFwoGwzeCkh6oGBj6vVLqmgxdtdpOkwTz5_8UxB0raN3nI1kx_Kvv8YIHT_Zd-phxqU2KkrdDrA3P0SiZ44YAme5MpC8ewgq7OHVicx64UoXMmVO-djMv5CS3bsQykTKqPQrfq6gJePvigx8y2i-TkS10j_fZc7Suz6Fkr4wHG7CtVkgI9abVeDCWGZC-x2gXZFzTI6DEMFCTKZzwduxabhxIZqNPEuit9aTqERMOe1BIukAg_XaIgSrfxrZQ-7jOVNcb9uOCjklu-jvHVee06GIl5h4K-pCH-XFDyAVFo5SMZdZ9k1buXgkQTsHyndkFXc-zmD7O_JUVkY58RRv9EsMhJN6udio8zxCK7LYj4zguxBuMkpP10wrMkJqM9A9zKDtLm3LYKXQPsdbQSogqIMrd_0bHfs2YPY6djiTB3VuSI3l44fYBn9DjY2WpgRaLxN6FzTJ6vbW_72zO1a8aCM14OIZMIv3ksIdUI7aC0YAOjERPSXmjuQxSfbX3_xjpS4hQaLzH3W42CSS44Rbc2r-ZHRO-B1zt-SJ_OTjvgPCZ4kYwCXSoLIQZb4d6PDH3YE1DHaj5QYCePLzzYGUpAUsEuT2UEimyaG1YtpXEOoLBC9AOMWplEksqrhrDj0R4W2CEz8vF95cu_uYIAIWwWb4eKbHeCgSKp9RNgiQG8YQvidlMfRFNXyCLpWhzcdC9DS65daWRfO6R426L4UztZBzjcNjcxydIMaqw37ZKgBj2f_YiC5ZTD5XLDVy2tCRH0s9rOd4tCyLeMwMLSsmz-sEJr0cJ5d1PhGILhjhNNflS0DYpPCXQBaFn7C2oMkjb2UAaemKw3x-j3ZbbFsi98ruDY2TKR04z9cyA35zGTf-mboRBEEDkZ6hPdRTzRn48X6VCXNegIAwiQiwheF5LhVvu0xCA-AhoZrVXoumKwgiKg20VA8FQviV-l2RFR03OYpWI99L8ojBvvCeZkj04n79adJXYcvuLnEO0brrazbiC0c8wEEI-RAzPasg8hCmm9hWcW7Q33UYv1F5K05oXvKHQm4csPANhpCtmIFqRHpMM_U2BbmWTla6fV2X2BpFi5I2Tf657GIFG6vt9W1kYCH5S2rRDBLo6awcsculYTf8Mw9OO-GKbp4QXhls1vNfMnVGHx165jE15-gfT6KpcqAM1U99RkGhRp0NEvnX_vRNO03QvXSGTzEpirR3G5uecW9RpkyCWwzCzhOSOVjEZnAb2k3sEq7JjOr1rPMwRlmLL0tnPACtSi1HScm-VUnF_cfKKKgCp2p0tMV3oZ1qnDaV1vhpoRThRZp48S9Dr0_1kWBcksjpCCNSPNR64ResZ9ZtG0YeLUHVa0WF6lTyAQvVRlg0PdjdOEb5_whPaBl7KaWYOCVsjYRo81dTpmZfFKTcHnPv6ZdSK3rzaNuvLJd5WcmbklAm-UT2e-_dJfTny_m_9YvKZ7Ypd3olc60gGbUnmWez3-f79i_0YwqglN43_ZpPNOaIXNESSjOx6IY5-lCxkz7C9W4wys-blzU_bzzcpXmpdeja7NHCLvEaVzoJAVIKWmAYxlKA3J7XqXKIDuCxdx2p2O7K8sbixGIjVFK2nks1NHZ7MQySqN53I3ZWrsCUY509LBPkEwGWGwjHmLC05v6_b6Aq43ry_t5KbNn939Ha2SrvLYlNwTyZ3HZyix5zX0jlZKmmYv0X69d3QpjL3HWew23-eHqQBkvKWeMNzvKAscdfvzGIyy219Jn1o6-EGNbpZlVOiPk-m2IntYtcmer9TsAlXRxo8ItP84eYY4r-CV6xswnTeH1sTDnsTr3rscEdldhE1W-IRJa2JfJueYnH3-cCYwP5Nx19uFNUmwVD6AnZ-n348_V2fWqYWS_PfMKrnazBsk1fZlYGnS0WtApZK1AwuLs3LBYOF0pIa6Z1uhbKsw_-Rt4wV_3d6OfBUzOdUMKGuHIt9gxbMKPJFDhVrjZSYicBKscoFLvhfMELiLOaDsLL_pQCM949ejCgSmNX5Xf8ymULs6izl9tPlrhSYagzbv8bLLOLdFg0YFTN4Oh3FxOZIwyzB9Q0XJbwOVG9d9qy0fT9C2MNSU8fkUYzja1sIsTQkewiHNdV4DbDLzCtEK5DEA7nKTYeqNqtPzob8rTRh0WoUc_PEFBWSOm2rLttqtgOscwL_iUn2nedbYFCjFJ-ZcUTAfCOJ5t91tAoDMP9vfVIKEhmsOY_19gDr1D1q0Zcwgi8gNMeBYo6ltn2Pga3YQ2VgOuYRzGpmgGqSUzQbyYICcf8WpKgf7QShcwajOx6SqIXj4byN79z-FiI79gHE069rIcJi6qOsRs5tedwtdUmjk-HSzAwk5_K2tGahuanPmCABFfNVQFhECtaJfP-tihi5lFuqEbUA7d1ckk81vaxllALvJE3Lq5tyBWWLNl3oyyQQfHouMR9Rl28AnVn6I-ZXNRaVmtI3Hl0gUb1cuGeMu9Gc0e6_MYiKAI5RUMxAjVrzFnoaXkYjnM5tRHzKDwri5NE3WyBZPiMrMh5-U-DgZY0KFPEoN63D-QohEitctVCIfsVuMMAHr3Wo_06VsLsSzJh8lYx1O-1sZneHtXgAf7rwO1b9fc4WtxIpsh7iUHA1ZIpiUQXOiohFyCZW1k93ocE8fhD7u_m0-zB-ENvcINs5wY1km-CQ8DFvFl6UwBPx0DH_nbbo0mTjJJhmas5Srn7iQziQjaCPnl7y7kJFvpx3AUoXfK004AZgzHkTDlZzf0H397UjAgfv6HD5lcr3378n_TQjWtk9vn7usllYIrPPL8bRvuS4faxeLSyNbD9rtZ2qZ9OmPgKBIeOKlCehQjXL3-xaE511GpWwpampCTMyZb6V1TJHzW9sLYynOC5tVjFGh2Zt3VcgjSmKDSJD5TdJGtuoEXhdbzykYK7rG-z38ZfarHoheMJq0vnZViIhkuut5LiVR-4-d9W4q8oq7bRBc2aaZKCDEXqApyO1IlDmyhFDUSSE7DiyXrapq1HNL3yMtreV5f1HQZFb52I_QHImPuN6gbPy22nFS8evoxMU5uYtMxxScOsaaNQKM9tD_kAZvaLtd1kPG4XiVf7MGvnjpmoVW7Yrx5mh6hCk2DHG1kXkjNfy20X6tGatfARLjLRgiOO6QtQbIWdV9QgQ-C9XSaN0-vvt1Z01XAVvxch_h-WVgjXSzaEWuFaHMRLuSAISubiCFKYrKE94Yw0G_4qIUKCy4qDK4AhfTSRox8jlUisbMT3GCd4WGIDPcMGG1HJPN_84gYu1oumfOPyJU_EHpbi6q1KDYrZYn3qrwxvNN5NrBilaYhv3bUCVBTRMWUdJS96uVz-kwHzpORvxqoxMs1oRRHzcjICuOq-FfqvOqufFRACY8Wk-HRkSLyUdJqGkhR2mfFp7m3SWnwx5osnPIR_mdWBfFffZOcETTzodJQGsnqtGIMJQMMFw1eDfMSrBRNQlsMIFiVKOF0yZgIad2YVcVyaegA5INvYvfdjkP5abo9EKbD6bEmjZaFXPXfMr435h-2MMsI5TWdi4kMgflXrgZpiYJZmRQh5O71iJZMZqVNnJxZ5sfKl1BAk_frt7VqRXcD8-Xc10L6wTxdEO6tHJKtIItjHsNzK0pkeMxy8U8iRo1NKV0u_AUbY7z_I3bV3RxwDgk06R1O_1-XBM2twiAFbjveWJVk6bBwO1hJty8qHcKck7HOePBWX0w73l0LGxPiy46pjRZUxj4dgbaL6jYhok-ZpaQ5hBNma5-CypjIZzLtoSiD6hGZHpfrfD0I3hoULgT0ZlwHF2SPRyfmGlHHDpkiS5r94CbEclJdBU2JaEVR1_rHbZ8ZWKsizq4wRE46hCLk_igiSjO_w7ameFEtyNnr0AUNZLb9nE4jwsLd1grn5zuT5gk-R8DVEQR0XMckolgtWZHKzBXDnF4CeT0I1sO_RBAlYai-cCmqCRoTUJ3eyBBSoUWXuRpAA4sTDqvcdhFWzXqvGNz-fj-9e5VsgQeSVQ4bWZeeLdHTk7wzSVaM9XyuIFzYRqRur53-yofDtoevjT7Fah6TVYtlReUteVwBl4mvj8R9PuJAR8jKrsdCePA2w6COMZt_1BpAerXygDt6Dp7snP8ghpockLx8Uz0Qpx__Swv3RsgGPBhWcAf0eUAsYlRWaO-BTs1d61R0ihIW2R1R_y6LpxOnMP0XtCdIU4h54R9kkI9pHIdMlkkRGr1tOfPEBtQ79L80lg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying image generation process**\\n\\nI need to ensure my response includes the tool call in the commentary channel, but my final assistant message should be empty. Still, I wonder if the platform requires some content. I’ll construct a concise prompt for creating a solid black equilateral triangle on a white background, formatted appropriately. After calling the image generation tool, I can't add any additional text, although I need to consider what the final response will look like, even if it's just silence.\"},{\"type\":\"summary_text\",\"text\":\"**Processing image generation guidelines**\\n\\nI understand the guidance: after generating each image, my final assistant message should be an empty string. But I’m unsure if the platform requires some content. I have to follow the tool instructions and call image_gen.imagegen with my prompt in the commentary channel. Even though the final message should be empty, I want to be cautious about what it expects. It looks like I’ll be sending the tool call now, keeping it straightforward.\"}]},\"output_index\":0,\"sequence_number\":186}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"ig_081ac687f40ebf78016a869ecd5f34819695bcd97fc27d42a9\",\"type\":\"image_generation_call\",\"status\":\"in_progress\"},\"output_index\":1,\"sequence_number\":187}\n\nevent: response.image_generation_call.in_progress\ndata: {\"type\":\"response.image_generation_call.in_progress\",\"item_id\":\"ig_081ac687f40ebf78016a869ecd5f34819695bcd97fc27d42a9\",\"output_index\":1,\"sequence_number\":188}\n\nevent: response.image_generation_call.generating\ndata: {\"type\":\"response.image_generation_call.generating\",\"item_id\":\"ig_081ac687f40ebf78016a869ecd5f34819695bcd97fc27d42a9\",\"output_index\":1,\"sequence_number\":189}\n\nevent: response.image_generation_call.partial_image\ndata: {\"type\":\"response.image_generation_call.partial_image\",\"background\":\"opaque\",\"item_id\":\"ig_081ac687f40ebf78016a869ecd5f34819695bcd97fc27d42a9\",\"output_format\":\"jpeg\",\"output_index\":1,\"partial_image_b64\":\"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response.output_item.done\ndata: 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a simple flat black equilateral triangle centered on a plain white background. Solid black fill, no outline, minimal flat/vector style. Triangle should be centered and occupy about 50% of the image width, with crisp edges. Square canvas 1024x1024 pixels, high resolution PNG, transparent disabled (white background). No text, no additional elements.\",\"size\":\"1024x1024\"},\"output_index\":1,\"sequence_number\":191}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"msg_081ac687f40ebf78016a869ed6634c8196a2686e5977d213d2\",\"type\":\"message\",\"status\":\"in_progress\",\"content\":[],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":192}\n\nevent: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869ed6634c8196a2686e5977d213d2\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":193}\n\nevent: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869ed6634c8196a2686e5977d213d2\",\"logprobs\":[],\"output_index\":2,\"sequence_number\":194,\"text\":\"\"}\n\nevent: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869ed6634c8196a2686e5977d213d2\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":195}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"msg_081ac687f40ebf78016a869ed6634c8196a2686e5977d213d2\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":196}\n\nevent: response.completed\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_081ac687f40ebf78016a869ec79f148196adc2413120a9711c\",\"object\":\"response\",\"created_at\":1787207367,\"status\":\"completed\",\"background\":false,\"completed_at\":1787207382,\"error\":null,\"frequency_penalty\":0.0,\"incomplete_details\":null,\"instructions\":null,\"max_output_tokens\":null,\"max_tool_calls\":null,\"model\":\"gpt-5-mini-2025-08-07\",\"moderation\":null,\"output\":[{\"id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqhp7W3r_KGf9JNr0i-NxB-BWPYmV53NOXW6trpQ5TAhtlQxuOIvMCN8EEX7vG3AherFmgouYc1o6cgNWR_wTPeGUSZcIKoAc8aeQXVpB5VYl8KlDPjlD7m-BNqu3LsSjjh2yL3KMoEA615-0b64nDzrH_h1KFcsP-Bz_URGWCulXQK2CUQ9hdDGHgtXmAsG13vVS7uRkGRBUE38wiQ7pnKltzFVuco6wP30_Crfv8ahEopEgQ7h3fG8oTKmyxx4dvl9pEZw75ICb6riKX3dAI5ibbSzwgo67WbJnI8OomhbWCPNmkPlMGCHMV_on_vtHSi-KEyOD2a_sK4yMciZFo6mQGJRWQM6NYSKwi6gTdKwahqiELv5kB_jHKWPayFfCsiH5Du3YbFLiYaUOwaDQboDwqJOI-QMXuAufzSvms0J2FoYUs6UhX8Jyz-d5jeFWlZzmHXDW7MOKK9RqP0eyDGo81WSXTXMJKUjohaG6_VB6fDKoVPuYB3DM0K2Xs9R6f9D6saTOC7T_efGbVkKpUBtjM8k19j-ssWkYA39QcbsjhYekm_MZ4nXxd7PnD649ZepaVOojHt9JSKOSAUG7BsACX1R_VMAHJqB8QDIG5kCbSPO5QR6y4cp2PCt-K96MOtC26zk1LzvuUdU1wNZgz0e_UGebf0yWJ-P2ep6Y9HqbvXLGEecdLNy3146Qktmhn3HRZcyWayiHkUxtzyvIu7mhtMFsoH_FADH5I0WGkvEpZEfYWR87gVGV_CXyAWe6EJntbhSyfduyInnu9DzAfD3xroM8X3_PiMCtFkTCzc1-IPZxNl2zfQ6ECHXHxBDnIkzAke0ocMZUSKaCcn-qk8RmQXUCK6kOzHJUqCXkzYZP-Lwr0AW81wK9H0djUvv-FncjiCE9ZzGoc46aD12Blz2x_UEDlBHb7D_WeJOxbR5_FV1szLD0QcAPd-ismh6apb9heQEZkZQfNgiAyMa08tEgHHyUMeG-HkosXYj5Z9P6Ky8MZR7US92d8wk0fuO3GVe8PvCwHRwxbFBZE5R_aEdb2t34mjAS3zK2yR-yI5_mMtMjj17zzJ4ELBTQuPLWzec21o_pMfgLBZb1l8HFV-FLLbAlif_hrpDAv_BJ4xi5JmjNpjdI46dOq5Y9H4t1upcUQbbKGhYvkpM_7tXApeil0OlBkZGsWn1iGzaIRqMlVUkgaP7-oB2oITXeuww3_OszS2vkNj0bOxzfvb1sVuBEXa4PTazkM8OcbracdZNi_PteHRzkKkbO0AvjfNL6v-7aYNRSD0r-SjNBGIfHZawGmQzHUksiELuVIsIAnBFZXSj4MvQxfdfzO8PB5me0w9Un0pXM07ZmZW4pi7l6w34Hir5B52I4AebW-zQeYaHmRi9nWnh0RQC-S-_MN1LVhItsh0XFe_49FnBCibt19V4DkAFn0BvePntDo-4MuFBpczJcIcSF8e9e5kJHhIGfGM573p26hZ7wZAy6pKbiIu_hMqxBpWNkgTd65PnrD4yHo1j4cAoSdWiWlY04iCKpvQit5-yiA8oKi_fpJfbtTSrZczc60oStdgkXvNz_KGz2kujT4ruvH3EgS6BETONHb2FVLJAb2Q8O47FANnBi4Yu4ktfhwv4SL5cO0NsCXpXXlFN_z-gk5e23jKnYMzf3TwqQB4sKMRl3_Xjbw0S37WzijzZUJPCZH_dupA0zCN2ewt4g9Q1AzGxwKXKpLCFi2CyL0MbjGus9FcxuM00tjHikPlLijVAGBf6gkFTSI0VsD6T8MkyfJJwuoWlh1dzxMQ7u7PBKDnEe9aASqii1ogYtobfp4vf58QXeb26CNvMFdqkHizKfqf_HG1g81yb_d2hwxtOmCWxGt6pvPcfgdS9tCOEk2v5wpZtMhQFhToasPxgGxSrBaHgDIUPzegiaYBKH4Baf0ufyX-57sgCAO1vC5qnjlwomPBGZykjnzNwAj72VoBqKhX8ePeqeNk6l8LH_4sOpY01Z2zU4MKGPexVuDBTVlz7vAxzG4clPSjBYbxZ-D-Rq4I0PcKubBsciUS9HusUeima9EHfMnqyxG_PluC5OReEnPmp8_IcrSjEx1QYbfE5uoaqlELIG_f3svvzEJl_d6CDNb0_oK2WqaMmR2MjJzPlkuFrG4X79jlRnz-a9vCM1BXtMlK2O3GZeXZnt9SCwoXU-1seYzgxEPm-A0aVi8XZEzsw_FK42MaLigdzn95XBcl30ZtPArsPYni1U7WsHMRm088tuRDNN_WbUAFNUm96oaSewhaLTdqko_D8sBzamSbhFmYaH51EoqADN9F8bZFI1nO9xHgxEDF_ZWROKk9ZSpMlIdUWjqH0afCRgPiS9N0Q7LGppBO7cJJyua9Bu_l20XYNRZIO_KLh4b83gYm3b6HHS-wD1EkDk-u4dhnRyTZN2j-KnVwTDO533p30SNK-PnGDJljJURJZZ8GBLpoX5R-SL23dmUo42C2K24VyefHwPqOggDB0RrVEBp7sztTORb6Ww49rVh5q06n-iCzVLyQWdl-dfwIJwsINKwNzaTtPPQF514bz2uTPqhZO0loJNN1zUecEX1UMxm2gjLt1_FFn9QtX5yBKRPga9SdAKWqCD2a6Ohdq_fbJZBroRw3208QSLk9hiulwjVK04eooxjKXGcxrEhnM1hU5_Sx7I-BKKEGsstpOhCiSyvmt102IWP0pzraNRiNHlgXYrWAAU2V-WxCSNE33FBM77ETYUAfi1w5ueicrx6i8aTvra6U5mYPBLE_OfngXTXGduRN1T2Wd5_5oCW56of6S2sTiVVOaCwhEH56SPMB1C-yQ9_uni8GauUMgsMMgVsLh1oHSW1ID7vpInsqh2SYZdkTbWOpQGcNbH4BOSSYTTfJhNBSRnrR9EV3p-gSaa-l6d-liuTcFvFCHAtrF8qI79M3Im3r2qJzHxmog-YN4jurekgnwPMsnfy7XWX20JZ35ScvN0wPsxctToVrsb5lfaLXQS5cM6pm9C5Fr-EKaCo_3uqNfXIz1lyypShZAJYig981D7IPyu4DegKsS0HZSA4UFygOfwnC2NMLErue6UGkj9nDWr3XjGaV1HCMYcv7D51xo5AoHT9yFyPXPGZwbWl92liJ-eZcIS8v4WkoIuot7hY7eRB41eo4xHnlbkrraKMh3V5SdLCUG3aS6Xm-eZf-e3-XVo_WNbjVhsJ00Ypb7WaaIkodabiZs6JzjxsKZSF5Rj9WKmMnbMtUn_CdcsHMKuX9sNhLbKTk4x15SQdZifFBClZ9YczMP-wztGN3-hGVv6IEMxnzZ2ZDMjcBzRNuMJM2zLFv4-c588wu2t8DOcmBaouaZGdujPt5tCLh35puoVEPOf-kW41T8TL3h35dPWhrI3t18Ho6oUs13PSfX5OMoBrGAPTgJHsG9bis-tWLGNoZAdbRdIpf0Cp0H6AjxGvF_YXN0wT9BHu8O1fb-a7Fmk9T20lxX-Awqt9tnrHcfCRBXFWLBEKGGjOvrJU5GIKScElq9dT4nhnJsNGdLEVb411BSy7kGfymXzp3vR9hGBvs_CvTqnKgAIAP1NXGHdYMByU7CTej2JMSj0uiKjHeyPode7tDYYdZ4PSxVhGISY_63vvOTYAw4sNcB08o5QZkLLoQGvpBWFBM48CBYj38sIBeiY0DmQwtqnoDjp5LLBURrAoWsMifZyDbWzIodCKV6R1b5z85WvaakJiZ8A1tbaPLTXnWaV2fJczyluLW-03EX4f2Ahu6gwQhphXYXGVdMDVXyG3tlbabKhbMflciz6bdno_REZw7vkerG6HKTW14DcZRORb_diZCqhw0yfwsjFuHLbqPx6UAclBJZvUePoHmKa68YQ5EdOSi9O4aXqDe5gSeAYfSzbpbuBX1ef8DG8Q2UUokgEPgKGocVau7VHdKBbD8S2SvZhWXGwqXhK8Mn3Dsz6NHf_P5ypzk_HK5wqFxunIB198myQCvKfnq-0lj3UQ9zhOT2t0mSz0_s-PoxCzKBSL-aVjGwaUhXZ-JcCc-rbO5HASEnzYoFTvi1mfZZgH56hq6oQmTag5cRYPkwsEI-7BUdvVscLHS7ZbORkvZh-7IPC9KQWXLYMH99oRpY5qiaVowPq8lc9O6j4BwGJZiRouk9-dfn-V5LcaAQzOsUNRlTLyFlauz0vp1w22DTH_yQl5k1QFEMDffL9PsOx3OKSUXKNQir_lpYtYy_Wj6T3OpW3yN_9L8WOj27_-vI4-HrVVCYVU8hEhJBCGU78D63JIflQV5GuwIT2niS7LRUTLfABxTzTOHT-iuPYxghJMUM1zu8WDoQ==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying image generation process**\\n\\nI need to ensure my response includes the tool call in the commentary channel, but my final assistant message should be empty. Still, I wonder if the platform requires some content. I’ll construct a concise prompt for creating a solid black equilateral triangle on a white background, formatted appropriately. After calling the image generation tool, I can't add any additional text, although I need to consider what the final response will look like, even if it's just silence.\"},{\"type\":\"summary_text\",\"text\":\"**Processing image generation guidelines**\\n\\nI understand the guidance: after generating each image, my final assistant message should be an empty string. But I’m unsure if the platform requires some content. I have to follow the tool instructions and call image_gen.imagegen with my prompt in the commentary channel. Even though the final message should be empty, I want to be cautious about what it expects. It looks like I’ll be sending the tool call now, keeping it straightforward.\"}]},{\"id\":\"ig_081ac687f40ebf78016a869ecd5f34819695bcd97fc27d42a9\",\"type\":\"image_generation_call\",\"status\":\"generating\",\"action\":\"generate\",\"background\":\"opaque\",\"output_format\":\"jpeg\",\"quality\":\"low\",\"result\":\"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response.in_progress\ndata: 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{\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\"’s\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"YWtkGVmOnJgVRL\",\"output_index\":0,\"sequence_number\":180,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\" how\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"mMc7fScJxiZt\",\"output_index\":0,\"sequence_number\":181,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\" the\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"dML7pDSvpS9G\",\"output_index\":0,\"sequence_number\":182,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\" process\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"sm3cCRao\",\"output_index\":0,\"sequence_number\":183,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\" works\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"vcuwpL735L\",\"output_index\":0,\"sequence_number\":184,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.delta\ndata: {\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\"!\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"obfuscation\":\"3fb7vwCfa6gGf7h\",\"output_index\":0,\"sequence_number\":185,\"summary_index\":1}\n\nevent: response.reasoning_summary_text.done\ndata: {\"type\":\"response.reasoning_summary_text.done\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"output_index\":0,\"sequence_number\":186,\"summary_index\":1,\"text\":\"**Calling image generation**\\n\\nI'm planning to call the image generation tool, and after that, I'm supposed to produce an empty assistant message without any content. The system says I must include the tool call before adding any assistant content, so I’ll definitely stick to that. I’ll call the image_gen.imagegen with the relevant prompt. It feels a bit odd to send an empty message, but I guess that’s how the process works!\"}\n\nevent: response.reasoning_summary_part.done\ndata: {\"type\":\"response.reasoning_summary_part.done\",\"item_id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"output_index\":0,\"part\":{\"type\":\"summary_text\",\"text\":\"**Calling image generation**\\n\\nI'm planning to call the image generation tool, and after that, I'm supposed to produce an empty assistant message without any content. The system says I must include the tool call before adding any assistant content, so I’ll definitely stick to that. I’ll call the image_gen.imagegen with the relevant prompt. It feels a bit odd to send an empty message, but I guess that’s how the process works!\"},\"sequence_number\":187,\"summary_index\":1}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqjduu-P1-UAdQV5QTzyENWcs3UAQ3GzE8k-FSGz-KroqAXu8Njxsj8anM4NbCgcuoJ3V7qcHZGozkQ7FjAD0Wp_8_pN80FOedZYfcreSgLf3zKLuUIODAQITKoT9AiRNdp1rIdV2zc64VcHZugeulfZTBEgjK0ewK2hNI7bQbq0cCkqmGZUsxvSDR1W3yNjAw4jGzvxOK4B2-bAAF6NV-pDp90Rnnh37QgG5VBtDMz23FLMF5V0eiA2UKMjdgT9C_lIoKsG32UG0L7joOFoE99mTOsvQUuDb1UMO5buV41jHcOOVgZuFc6LtrS974nHAY4ygismKEb3IXotwaklzwIJbwDDfjN5ndFgsbQ6IketysXuot1LjgWfqcieA9wRSnp9HQiWfekfGIr0Vct8o1R-5qwaNuVhOdmz5OULVv65Y-lCNWtEqGLo1CXwGNJifzS7sWYwp4Y0Na4CK3vzwSib5sBEGxJ6GOvKvP6qViUVSBxYbQzIBzaRpuGqp1XMfnNvWbmOD93rca51JRpJIu75k0t0sCBfGiIDfEc13HbRnXmJlLiyTnCIgiYtQrwB8YgXi5S9zgULZST0i6xamcbTT3bP8OA0UE56ggLmr2-5gVbZRdkUEtJzX_VACUcr-fpbW5eEMs3jJyN8fR5EKJ-ft7m2PKaadcOdVxe8pTtgyuxfXQEczpD6RcM5XmTIHQLoig4RVZFIrLgI48o_MMAx8pwP2UsIvycC0bz9Q8irXWCc8tWUKQOPkR1EQYhaRNU4uiIxZFwirAXrX5LeL1ParPdYv0IouhwxHmUlgDLwjonB81uZJPc6rz8GpRLnXUHQPReOjXqS3AVPg6hr3MPgF-5Qvi3yHpcaNdwDyz1AvlbL3KzlrjkKGcMKJ03TM06UCleIVU_mVXg4ZL8NmDsOaDEAeZqoCLwgl7MimRNWBBnUlUqKdd-Ook2ZTD6bf_G_ZlcU28x2qxLh-Jx5fDNsUIhzgZkjejWI9vRnFuuDi-5Jtwbk4lB_TR9RufQ9CCJImVeoiuX1XYPgFX2Q1qdOE0MUa5t12W3KTrGiRETZTKcR3orVid230yBv1r5WOltaXXKs-ADgTFyR38Dhy65-1P7_ZXR4h5YIn3cwrM2qekTBd2C3PY1sA0CRWhGXGk0kRbzJS_bsmQaRfiTrQeGqnHGL42nW9AQZbeer3HAg4gh7neg_IoGg3M80eRH0y0GPK10Tl0HIigJzmGPyOhpHfUgfbedcfcgOm-OwU76Ey5xITB73LbbduKJq_JaTrd4EUAShzy-BWYSZgvRwgi_7r5rjinAraGEcHTu3d6NS89lDpauUR0-zfAbcSETpjVm5sWA1f_YBTlu-OyBKm_Z7BnZiRn0wXt17NriwPlSjWtUkYV31hbk_LehZOiN1xBDGQtXLYbL5qo07hHwxUhzB4WSSFa6o2tFgETCPebgb4S_wcJxzWYLx4-2ThRTQ_Ql-a6cR-9xvHeEIXT9TrbO8T-P3Go6_VppMW9Cksqdvp2zIFEbBplwkkMHKuIJdOw07uKL6VTHaAvSweXFUGnzu2SH1y-1gFpBi7d3bTdkrSJmDaVUTMrjQpbWY3YwWbHL6XcNTw7yYDpDqH10IcarMA0KY0ss6xIB2yxzx45Yxyn1nEdOEU9rQhi5X4VJ-EPbAbJ-p2xv7QdRe9WQiNiDOskJUiqCJKIrHJC98VuygANVM92RRTByFe-nAGTRiDPi6LC80Do-N6R8jD8nRNyg1VEP0a0eYHrSJbS-KiU23RUn7KEX6OHClEJj-91xuS40FjIqielIRuttJI41Ry1PUlYG89XPGx8goJh8XTZC7OOWTiDf6Y0M7qXXbwePMzYBBvDXU0tKtxlWFOAp_cnVX758Jlw-3o-m4W8cEiiyI-JFf_uRmDHi-bgmZJ8p4FQXbLfrJzdhImaXoOFWQk6r79zcNNAvTCi3U-uY9gIqWDcncqPacYvUdPMKAV-BxatN83tH50aUVM2hBnv1L-GYBj5ryI9FkFrlGoqw0hZTPS3IUffQvzkf9hzBDiQAMcuZ97-D9SkPzUATfMMRnXNVFphgAsi2w83tVrN4ltFYz19pLVIePjFfINxC5eZWd9GEk6jxOE6ZutGC9zqMg9EZ299CIufX2-GiJRc9JMFxmS20eaqnucPVuuxHTlFkDfurdIantk1Yz5FAPaLexiDrc3Rn9b046dmaWPGTvtfVBWEqDwrQiCKuUw41JSnP7bg13R0Ka-y1uY8NiPzbqhPVDtgJoRwn0rrJlffwm5KWdKenzZwl1DyscjHT5SBfYdxljGfQdOEgec2PYPPGTH6P_AxAqQjsmYP84wjueAH0Vh0fCOlkWD4_BjJ-szB7uHr-crG5WN7kYwfdNg3kHmC7mhMZ7HYbs30t72dSnxF5UimQNoj8uTcrLLL8wGgCUZWEnN3kro_irb8jHHkdCDgIEv7mqtkfQPfWSMHm1A4CwN-DbNnLFHfu4E4XB2rXoUFfEYSUebCO13CqSPayktnemTWKXFzLubGjA9sOz1irh15VIemgayTfneCGQGMosfp7VPF4pE4sSeDotAW1b5lvG8xgwaBnrQG-O-QQ5Jn-jNs4COD-dLmwFsrADaKw38GRmEeLU6vZv845xRNG_N1VqcPtsSHq2KCO-NrGOmD2p51g1q6MZArv8DxKZQntNxwvXK-8PAnaQj5Ow4vgFhjovgwMvBV6P4ZKHHeGZRzsjubQNrq5Rzc0Bu09kBTUIxjeOrtyfYcqhb6fwUImXXdDtL8bO2czVSQVYapdr57CT1970FRgylHwYSamnwcCxZ9rJYjmmDPzaJFw_XBrYEnbV5mas9e04ww96PCpYb38t0VxKZm9gwUdAFdn7HaRYp5INFawGMJfwQKPeC_wdsYYR47rOA6rlJ74G9Tf1rS5xQM0pEGJe29JDq4AsDqi_li4IY4V0G-oql3SSrAQcrxTuqMxKIYn0d3TvTBvwoZ0-I4vhWcGdyL4W4Dzy_pjEy1qr-sekml4wIZmA-tZJ0iIkrp1P1NUNpS63-72cPQuEr_0XJGUegSdv2SiyINh0QDyrOdE9HHGxqnKnNMy2Vz4huK1phGcJhS4grQAlg4eo7HhLckvBej61NW8TTwdHp-TX-vcr6bXAZGZbiddA4qRqUKKTV79J6RrJU3hWV878XNYrtBZBPPUNh1aMSX3CCbw-naS-0FpP1IiQcQJcKTr11yBzwlTa-1CUWbRKLf9DtP5hgjkeV5z8lN_H5MdfaxVlk0KVN2Hffde6muvMxfDVU901z88Pqz_gfVbOvEIb1qhUq-3PUPrNcytAcCvAUNicDUs-S4MrAEhi9kBDYb1-jH0uKuJz2FE12zatuAHU62tB12-u03jH_wPz80gBHikhbK3Ksk_xZ-l8gIGqXEea5H61KtulcBgamX1zGpj5yWPRJu-MS2fkI2uK3D62U9u_F5QO1CYqtifViNVL_n-baksxxUJW_TyhPX_jtZ67sNWNf-7DEj6yWN8_mQpT6OYjUz1q0bvE8ZMzwBQIRmzHwDsxTfMiujBucvHjmgxxef8cf8t086jyaUeonlzQJjK-g0rIgeTlZKHyxslKXwaGpAVnk8Nwi92go7dNtAlxh0qeGlQnd4NHN2w7aQc4fRsXA52qY3b80Q8CH7hproZts3qy6S7t6Sf9NSR0kXdQD9etOVvRE8jTs_Wgc59IVDtV1QFgON0EvZovv8zNBrd0P17CR5CQKca6Kl4o0acWSAHZTSzpDuI0RANmeWlsQENulbowT_Q9ECtTy-k15oSydjeFYpE5JISDc6COgHngm8VkVpLNYXDv-fqcsDrRLnBQGl-uxR1ShSt_1WUrKRxKBTJhyXFkb5AGOxS9LTT-C7XYmVNI0i9RFQtdR3n9RVByadVzAS6QCITriV5aiW2usl1Sztf1v2lSgwdy6jbltiZF9dReA2vlMXma7RDWcazNgkOrjtJLf4iHzmtdaloZExqb51aO9DXX4dpuKuuamc3HVKKqTVecJODvFtwD0Fc7b3bXgWX0ZE3HJgxx1TFazycKrx2U40A3Rx_A29dzh31dULwNAxHwdHhXS-AagDzib1OlCqGQnf5x2bPGBTN0dSEMwdwXeLJzGoZsGIK0iJQDbafBf3jQ6VRyhhA2GqeGHpAIJuoJAxKjZNLM-SqNqPmhzG0bkV4WvKcc4YGUH04Y7WQMZ-DCUIL6YHD12MqWsmY0tLRqETbh5HWNgnx8QQD_GrMlTbpTuG3yUj49cXYuQDYEI5vILUSiF0eu0kfYHaUSboL7CBVN41RnWT7EfMle0vNm9WrG0E3cw57e_GDeEL08ZP0dgwbLBYXJHMdYf85c9rGzLbxy9AtaPlkM6jYHo-3Ie5aXhKs495Gz68dF9biN3S2DyDeb-JHS7HDYEodfg74n0-jVer_RfxSm5q0opMILeY7EMY7985WmOLmQy-NYeLhQqtNOIgaaj1GNLHsUDv2X4gh0fhARADol4x1HX7DyWjjtHJBTWSQ16VS8jwu5xh0NwnOlWjgj_Oi5ZgUp-vhfb9otF1w-sc3pYhmGrbUbsvNYxTocqBkkRIJmu3HdZ3L29h7I1l-u2yIeSabudjpx43vLUXNl61jVM0R7MDgdppCkpI9Q0O1k0D7HmJ08IH7Gd1g8IXLaepf5Rl0PNQ6vchO6K-tX6E2-rp_W9JlfnaGbZndE3xrCeTlhuzL7OdrEAuMaAdvImp2vEBdJD6GTQnBjqAYHN8zKggbFVJC3rEykmiaF1zKrG1Wx-tWG6-JB4ulQ_7zxTW3MDNTA88qOyoRMcvfw-c6C_L2aFDBslAguyWco7ncocXxyezcbzMwF67_AjPYfNSe0fVa7PMNeR6wr1gYRCQKUklRUXz47Y9aG8OhOanWqN8v2IQG1DnXMDT-n6VMOgb45vfm1YzxvDHvgm-uIJjyYnv4OJuStRQm1bN5Qsv26woHYmRtA4hrC2RbKgVZFte5cDRPicw7F9mreOFVQHzv4LHutecV5N1vYELpJgDnwMuDiAGvIpMh77chl4IF3w5-SQACK6XLH9O3kHWB_73VdjFp9MRkFjG8BOkV_5R3H2Gv80=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Generating image instructions**\\n\\nI'm thinking about generating a high-resolution square image, specifically 2000x2000 pixels, with a plain white background. I'll center a solid black equilateral triangle that takes up about 50-60% of the image's width. There won’t be any borders, gradients, or shadows — just a flat design. I’ll call the tool for this image generation. However, I’m not sure if I need to include a final message, given the developer instructions about the tool response.\"},{\"type\":\"summary_text\",\"text\":\"**Calling image generation**\\n\\nI'm planning to call the image generation tool, and after that, I'm supposed to produce an empty assistant message without any content. The system says I must include the tool call before adding any assistant content, so I’ll definitely stick to that. I’ll call the image_gen.imagegen with the relevant prompt. It feels a bit odd to send an empty message, but I guess that’s how the process works!\"}]},\"output_index\":0,\"sequence_number\":188}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"ig_00b95cb57dc3560b016a8ddbaef14087d18b2d1eebfec2de13\",\"type\":\"image_generation_call\",\"status\":\"in_progress\"},\"output_index\":1,\"sequence_number\":189}\n\nevent: response.image_generation_call.in_progress\ndata: {\"type\":\"response.image_generation_call.in_progress\",\"item_id\":\"ig_00b95cb57dc3560b016a8ddbaef14087d18b2d1eebfec2de13\",\"output_index\":1,\"sequence_number\":190}\n\nevent: response.image_generation_call.generating\ndata: {\"type\":\"response.image_generation_call.generating\",\"item_id\":\"ig_00b95cb57dc3560b016a8ddbaef14087d18b2d1eebfec2de13\",\"output_index\":1,\"sequence_number\":191}\n\nevent: response.image_generation_call.partial_image\ndata: 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response.output_item.done\ndata: 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a simple, minimalistic square image (2000x2000 px) with a plain white background. Place a single solid flat black equilateral triangle perfectly centered in the image. The triangle should occupy about 50-60% of the image width, with no stroke, no gradients, no shadows, and clean crisp edges. No text, no additional elements. Output a high-resolution PNG with a clean flat style.\",\"size\":\"1024x1024\"},\"output_index\":1,\"sequence_number\":193}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"type\":\"message\",\"status\":\"in_progress\",\"content\":[],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":194}\n\nevent: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"content_index\":0,\"item_id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":195}\n\nevent: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"content_index\":0,\"item_id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"logprobs\":[],\"output_index\":2,\"sequence_number\":196,\"text\":\"\"}\n\nevent: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":197}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":198}\n\nevent: response.completed\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_00b95cb57dc3560b016a8ddba57b0887d1adfb617ba808bf52\",\"object\":\"response\",\"created_at\":1787681701,\"status\":\"completed\",\"background\":false,\"completed_at\":1787681729,\"error\":null,\"frequency_penalty\":0.0,\"incomplete_details\":null,\"instructions\":null,\"max_output_tokens\":null,\"max_tool_calls\":null,\"model\":\"gpt-5-mini-2025-08-07\",\"moderation\":null,\"output\":[{\"id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqjdvBRVobQ_FhxQ8Z8zhDea2lOe822DktDzYps0HyJjX7NYdwqNVgTsPod72fFUtmdne9H0lGUVbpnezXw4XZoafUqJm6Apyr1nly7zmJzUU-4d605a7r9hOq5r2bmY4WZNeifyKqAun_xT7556zNa0RG4rCI9rIzu_VfVXnbEiWA6yeM6ZlYwSQejKof-JCwVYd01gdZJSBPafVFU0WsrgOLZQIbH9U83CrUJWuzG71cbjjmuxefrp7KONEU2gLl4l5iHrwxea7YK3toVXq2zEccSpMUOTJVflOsnGf-AuqKoePNUNItLstHzfIlrvxnmwdpYXuDlLyb-uxadtrqTl8o_6vZZE8pGJIlwyldw7V93Y64PN0mQvFrh2SVz5lsPFY2RNbA2G7fjPpc9mQ-jMTErJE3TcMoEa1DsmpArqpKpsQgFvaiDLco_C_fzuFXY9Wt6tgLKTDy_1IL27YsOqx-6wRSm4vK4TSkK5abJRz8DfwgrYQpGCNTH-UoeYgDddNso6vaBtFzvNY2sDbFQ3Vq9e1Xht8-T-suoUtmLxe3HNcZq1boK6BHqbAgzQtzumeO_f_i1u3-5NDO_YcfDxCX3Qb167G78KToBvfXrF55gfaa3I6LW1cj8Pjgqx_srcWZTX_5Hzu_JvtlZhanBa-ow-_6lpDd1_IZtwOWdNyi0MTfArHoSmLp992hvVD3cMigdhbJbjLzBAH-NQ3JzEqdOmM-J_RaTV4BS7amzACR_SYavxTpRYN6KU4jgW-59hYI49Iav-9mbUUDaR8H3C-KKA612ZJKD_K6s3PaQEZ1W-qqueL4ErLpqVTVSB3FTV88jciukhjBNKoOKfmVOTC7EvV0a5IvJt5gJsN9E3GV9mGIc_Gs107lIu7kWCPodvSUXMUpSZS1hZqBriV1SY1FFN8G7SX2wVRT8-zFaDs-SnGJaHMDUR_OqLyre1P8MW2nFY88WI0e5-v6lPxNYXPTulsR_n1CPNiv32m7K3O2xPLqM3591GCkgCbRxWOravStu5j0WlMRzuUV_oYF0IRPSbrHjzQBTlJvJX1QnNCkrkKy1K0bcXPOE9ztRumkTmnCBKZYcFUgcmRQSk3eWuUtDL_9rfVPTN3xaylIkA1GzvCim8ScRxUxqJrVoXoqzkGnXzLblkJdNGLXt2dCpkCSzLtUI01zs5jC2hm4cJU4cTJhgwMzRtIuCeXY32sE8gzYeHQryjmumVHQ_Xu3fgIk2vtrxjJ7ZEOCuGTuEuI6KgBuiQw3LGBb4MSvs_EU8Rw7X1ugYTPKEpRRguhpWbwbwTkfoHBcBpazGiOu6CAuWBydAeYNEktvmip03qYBXm7usQ3VWkesfUPsBP2bXDIrphNVSJZ0P0c0EOuLgR20Wo-wUkX-WH1FhpNwHIsKM_gn0XsfIJRfrX0PNcR-OugpTQWL_jRsy6ZKVbIFCNEwoEBoumFlIwjv8cWzGyXua5moWWOKYOeYV5bmBaaloRFG4RkW8ZnyP9yXZNxyfqLlgboehh5Isczdk1WdZNVY56cWjPiO1t14y1IBM9cITd_NQ1AbziptzS31VQ7vBoxUEcyxrLj7eNKO8yvsl9CHbWVe_FBoNtjDAzExwM83tRH0SYJwDrJT8bocvQKBSzw5MyJpEKaSb9oxSibFeZVUWDY5y7kQ81ht5QhuEhoo6Zt2tCF0lPNOqo0C3osrWPcYYytElMJGeoIBKo9lE0KmP2SfPH9-wSgZB-AgH6GPZXsouZl6tKy10XdpTV72Ke5GyILh22KSQoIgIlT19GTx1HYLZPoHyMjShwQwNA2McXBtzG3MP-zboMlovKEBlXb_osv2L6-B5knGQQChH24sPaM7crMLdGuQKBcMQKomRmxGWWEM1AjAfsqu87D1UXn-9DDj1pevQ38kjsOJPM9EcVTB37RRsqmjOEgKhBFOdXaWZI4NYA5cowE29Xn6R-ppmjpBuQvHw1TxWlNT2ROs67BPxH81b6O9ev4TAFJ-O4_wQqCNMBfoFULQsQjslv9hp_mUa9XzR77S0eEq2fYMX0_VP8JhCiD54FQhQzHNpaSanD2vKyyRHaYAwZ6UJwa6Lk3YYE_F4Qmm0UidsyXm_aCrVSTLoAzObdYsgA4_9cEdTcHb-ZXizsuxffJyNaS6I3BOpSpMMP-Fxdf4k9cPh_vaDXpcDSH99ZA6-ee_xcFpestP7KzMnCf5tOmTwtA21nF8ce38NUy8FVudAT9wfr2gZV-WUbCxQtSh7V1vTCr2yu5Hx_Wa_BqF8Y6m6zgKmxYxMulA7wxn-V3Bj30XtvpK0oyDlopnLc9rOgIy77HjPOs4tiiHRRUp04u_HuPy3r8viJt5rjgPz0oroKHc1HA96AFWX7R6wp3phRTMbYKuez80ImTVKq3w-y2Rlror19fNnBOEXHdL2m_yWkDCqozAowwPrlBEb2NXonHsGR4Soi6Ytn-qffZcBNqaAg2NniZ-V8D7ZHy1MVV1QGY9MET6uCqasgv-HMW_yjTgr9u9SDstMtcqfzmzO-PDZbgyYyXjYkVJF41s9nTqdBVGoGPyeZWe3gLj1XR5tB_4IQBm6_DmCjylwJyBdsHlFo-wswfFjbz0HHj9pcidNgiU4y3uvwPI1ewIPCxL5etVUprOUrGLVWuP0af-eHpQBIROorsaPaV-ZP_Ok_ndO5PhIFHHz4EcaeAELBve6THcl6GTzCZXvEJC8yGFchVEjinmtkLZyseQ2rYNTLBncxMD-Z_OPv43VS21ZY8XGMlUkt0rlmznL7ufZ6cKz8xBt6qeIhtGjlGxG7LvyPcLhSXBxvvS7NZRwGhcKHfWdbbi74mHs2fydtS6WpNiSxVhizKS3wofnJ3AhvPa9B5dx0xvlvc69PvORqGhmnXzxIuQv86jYqebYIRZNu2jyKZ9fX6rY_f_SKxayPHm5H7J53yGq0GDLMoxyvIdAAEmGQ-z2M-cbGKnfpny8NeigrNL4PgDnnXliwFkgHtTTnaE-WVqONCGH6idC6iV5hYlSV0HIKnijoNFU4jzREg8qA8TLufbQ7lOdN-x5lT-ErAorI6_MfMakjK9lUaMtxeUX7IMIIBiQDp2BfU0M4yHjd2v779B8SXFnpmuZWU9XrTNDfX2f1OyM01JF9tY1JLaCVlbChmGDTRFSMdAeax9RJkLV92O_0KSBXLxqFIcjAhu4M2maPHXgH75EIAKIpFR_pQsBbTxjjS54lBLdQ7o18TeLVaOv_ai_OEU1eYxbOjzCX28DXgsyoIcI46UMWP1Vxtugtc7SIubks2TuQ15W1B2npDvccyW47EQi8UGmpavJos0RouR5WZ9a7S_1sW-M80023kQeb5QcX_BeCFQBsbjDBXv_FER8lyV3Df_2K5tSUVxnm7GRX5GEeOndcmNXBoXhoi7hKaol0ta5XrMppi00BNSmB8xLQwVwDhumi6GfDV07Zrdifuae5hW0dHSx9DnQScvP05E16xL6deYfhRJ1vhZLSDVnck1rM7pKtMfbFjQQOn5F4THGmFGBn4dKyaSeNSTH5dQ5M26wGXLRjbih2RTDvYMMmvPFsfZFYRBOtp-ogakdf80kX8hhS7tgWnIUxsACDCZPcARWBwS8rBcnVbsuXIVXOe6o1t_bL-DTE5ZcpFonT9BXCRy-HXTlSgtrOMT_RJNhG-CsaYmXnRS4ziPweL8bVQbHL_YnhCLsZMrLMBRc1-TY0oc9q9mN-2aSZyFtjb-rLUVjZQBTqVozs9TVB73cF8I3yW75R-o51yY913fB-xmjELBh_5ov_gKPlWG7NNQs4rzi_CQ32-at12dIBB5aGVo7_drElf7i8SqkfxJMPAFigFRbnMOocTKTppO25JAyjOYR8wJmD7ZJSyHA9I3h2SBOzs4iQrsugib4cE58l3ytwX-xbZhvdNnvCPNZBh_W1lYQ4aKh4W1N8RSG-BPGi676VoQcoyvknCXx71SjYgqWAIZkbfnSqBknDoO687g0JeHw_Slo8_ot6guDzJeh8Jfqb3v-oGC7_RZYsotKa5D7NXVX-S2qHiSyKwJZXbtGPMTcok0VlptV0g1iV58vctuMNv0mY_xSGNQIdpFMEIWQSXiiRtTpKUlxCw1TdTdQFFudVWSGbdq7KOqUw7idKd8KU3BVtFzAKRNA5SV_2PfLKWxFR6Rz4rCykEuK9LJlN4o9zIwVp6CKgTPRf_Wff0zChrQtaGvWGrwB-pQlgv5Wt2IVem8kdFPixW7K6dJhIkVZfIRlMEG0xbPAtXlRmMtkh8UfQh5qu80FcgDFxhFOXKSs0MI8mTYYb5fJNBLurL1tGyPwEMvONd2Nitm0PpFL6WDP0AKDHden81qmmzjA5z44kZjXhBgxDUrU1SSmJwnW3TFGLrJbDqwNr0HErefw99w2Zxd7v4r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image instructions**\\n\\nI'm thinking about generating a high-resolution square image, specifically 2000x2000 pixels, with a plain white background. I'll center a solid black equilateral triangle that takes up about 50-60% of the image's width. There won’t be any borders, gradients, or shadows — just a flat design. I’ll call the tool for this image generation. However, I’m not sure if I need to include a final message, given the developer instructions about the tool response.\"},{\"type\":\"summary_text\",\"text\":\"**Calling image generation**\\n\\nI'm planning to call the image generation tool, and after that, I'm supposed to produce an empty assistant message without any content. The system says I must include the tool call before adding any assistant content, so I’ll definitely stick to that. I’ll call the image_gen.imagegen with the relevant prompt. It feels a bit odd to send an empty message, but I guess that’s how the process works!\"}]},{\"id\":\"ig_00b95cb57dc3560b016a8ddbaef14087d18b2d1eebfec2de13\",\"type\":\"image_generation_call\",\"status\":\"generating\",\"action\":\"generate\",\"background\":\"opaque\",\"output_format\":\"jpeg\",\"quality\":\"low\",\"result\":\"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a simple, minimalistic square image (2000x2000 px) with a plain white background. Place a single solid flat black equilateral triangle perfectly centered in the image. The triangle should occupy about 50-60% of the image width, with no stroke, no gradients, no shadows, and clean crisp edges. No text, no additional elements. Output a high-resolution PNG with a clean flat style.\",\"size\":\"1024x1024\"},{\"id\":\"msg_00b95cb57dc3560b016a8ddbc1199c87d1bbe47e5d80d16d85\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"}],\"parallel_tool_calls\":true,\"presence_penalty\":0.0,\"previous_response_id\":null,\"prompt_cache_key\":null,\"prompt_cache_retention\":\"in_memory\",\"reasoning\":{\"context\":\"current_turn\",\"effort\":\"medium\",\"mode\":\"standard\",\"summary\":\"detailed\"},\"safety_identifier\":null,\"service_tier\":\"default\",\"store\":false,\"temperature\":1.0,\"text\":{\"format\":{\"type\":\"text\"},\"verbosity\":\"medium\"},\"tool_choice\":{\"type\":\"image_generation\"},\"tool_usage\":{\"image_gen\":{\"input_tokens\":91,\"input_tokens_details\":{\"image_tokens\":0,\"text_tokens\":91},\"output_tokens\":196,\"output_tokens_details\":{\"image_tokens\":196,\"text_tokens\":0},\"total_tokens\":287},\"web_search\":{\"num_requests\":0}},\"tools\":[{\"type\":\"image_generation\",\"background\":\"auto\",\"model\":\"gpt-image-2\",\"moderation\":\"auto\",\"n\":1,\"output_compression\":10,\"output_format\":\"jpeg\",\"quality\":\"low\",\"size\":\"1024x1024\"}],\"top_logprobs\":0,\"top_p\":1.0,\"truncation\":\"disabled\",\"usage\":{\"input_tokens\":2270,\"input_tokens_details\":{\"cache_write_tokens\":0,\"cached_tokens\":0},\"output_tokens\":673,\"output_tokens_details\":{\"reasoning_tokens\":512},\"total_tokens\":2943},\"user\":null,\"metadata\":{}},\"sequence_number\":199}\n\n" } }, { @@ -36,14 +32,14 @@ "headers": { "content-type": "application/json" }, - "body": "{\"model\":\"gpt-5-mini\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Generate a simple flat black triangle centered on a plain white background.\"}]},{\"type\":\"reasoning\",\"id\":\"rs_081ac687f40ebf78016a869ec807f08196bb9fe32477b294a1\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying image generation process**\\n\\nI need to ensure my response includes the tool call in the commentary channel, but my final assistant message should be empty. Still, I wonder if the platform requires some content. I’ll construct a concise prompt for creating a solid black equilateral triangle on a white background, formatted appropriately. After calling the image generation tool, I can't add any additional text, although I need to consider what the final response will look like, even if it's just silence.\"},{\"type\":\"summary_text\",\"text\":\"**Processing image generation guidelines**\\n\\nI understand the guidance: after generating each image, my final assistant message should be an empty string. But I’m unsure if the platform requires some content. I have to follow the tool instructions and call image_gen.imagegen with my prompt in the commentary channel. Even though the final message should be empty, I want to be cautious about what it expects. It looks like I’ll be sending the tool call now, keeping it straightforward.\"}],\"encrypted_content\":\"gAAAAABqhp7Nf21loRDUaX1soll_zgs4kBQ87IivcrUUySjfVl6lIQ8QEIcB4rP85uopWNliGHWIrDXKS9jZjjVvyoFwoGwzeCkh6oGBj6vVLqmgxdtdpOkwTz5_8UxB0raN3nI1kx_Kvv8YIHT_Zd-phxqU2KkrdDrA3P0SiZ44YAme5MpC8ewgq7OHVicx64UoXMmVO-djMv5CS3bsQykTKqPQrfq6gJePvigx8y2i-TkS10j_fZc7Suz6Fkr4wHG7CtVkgI9abVeDCWGZC-x2gXZFzTI6DEMFCTKZzwduxabhxIZqNPEuit9aTqERMOe1BIukAg_XaIgSrfxrZQ-7jOVNcb9uOCjklu-jvHVee06GIl5h4K-pCH-XFDyAVFo5SMZdZ9k1buXgkQTsHyndkFXc-zmD7O_JUVkY58RRv9EsMhJN6udio8zxCK7LYj4zguxBuMkpP10wrMkJqM9A9zKDtLm3LYKXQPsdbQSogqIMrd_0bHfs2YPY6djiTB3VuSI3l44fYBn9DjY2WpgRaLxN6FzTJ6vbW_72zO1a8aCM14OIZMIv3ksIdUI7aC0YAOjERPSXmjuQxSfbX3_xjpS4hQaLzH3W42CSS44Rbc2r-ZHRO-B1zt-SJ_OTjvgPCZ4kYwCXSoLIQZb4d6PDH3YE1DHaj5QYCePLzzYGUpAUsEuT2UEimyaG1YtpXEOoLBC9AOMWplEksqrhrDj0R4W2CEz8vF95cu_uYIAIWwWb4eKbHeCgSKp9RNgiQG8YQvidlMfRFNXyCLpWhzcdC9DS65daWRfO6R426L4UztZBzjcNjcxydIMaqw37ZKgBj2f_YiC5ZTD5XLDVy2tCRH0s9rOd4tCyLeMwMLSsmz-sEJr0cJ5d1PhGILhjhNNflS0DYpPCXQBaFn7C2oMkjb2UAaemKw3x-j3ZbbFsi98ruDY2TKR04z9cyA35zGTf-mboRBEEDkZ6hPdRTzRn48X6VCXNegIAwiQiwheF5LhVvu0xCA-AhoZrVXoumKwgiKg20VA8FQviV-l2RFR03OYpWI99L8ojBvvCeZkj04n79adJXYcvuLnEO0brrazbiC0c8wEEI-RAzPasg8hCmm9hWcW7Q33UYv1F5K05oXvKHQm4csPANhpCtmIFqRHpMM_U2BbmWTla6fV2X2BpFi5I2Tf657GIFG6vt9W1kYCH5S2rRDBLo6awcsculYTf8Mw9OO-GKbp4QXhls1vNfMnVGHx165jE15-gfT6KpcqAM1U99RkGhRp0NEvnX_vRNO03QvXSGTzEpirR3G5uecW9RpkyCWwzCzhOSOVjEZnAb2k3sEq7JjOr1rPMwRlmLL0tnPACtSi1HScm-VUnF_cfKKKgCp2p0tMV3oZ1qnDaV1vhpoRThRZp48S9Dr0_1kWBcksjpCCNSPNR64ResZ9ZtG0YeLUHVa0WF6lTyAQvVRlg0PdjdOEb5_whPaBl7KaWYOCVsjYRo81dTpmZfFKTcHnPv6ZdSK3rzaNuvLJd5WcmbklAm-UT2e-_dJfTny_m_9YvKZ7Ypd3olc60gGbUnmWez3-f79i_0YwqglN43_ZpPNOaIXNESSjOx6IY5-lCxkz7C9W4wys-blzU_bzzcpXmpdeja7NHCLvEaVzoJAVIKWmAYxlKA3J7XqXKIDuCxdx2p2O7K8sbixGIjVFK2nks1NHZ7MQySqN53I3ZWrsCUY509LBPkEwGWGwjHmLC05v6_b6Aq43ry_t5KbNn939Ha2SrvLYlNwTyZ3HZyix5zX0jlZKmmYv0X69d3QpjL3HWew23-eHqQBkvKWeMNzvKAscdfvzGIyy219Jn1o6-EGNbpZlVOiPk-m2IntYtcmer9TsAlXRxo8ItP84eYY4r-CV6xswnTeH1sTDnsTr3rscEdldhE1W-IRJa2JfJueYnH3-cCYwP5Nx19uFNUmwVD6AnZ-n348_V2fWqYWS_PfMKrnazBsk1fZlYGnS0WtApZK1AwuLs3LBYOF0pIa6Z1uhbKsw_-Rt4wV_3d6OfBUzOdUMKGuHIt9gxbMKPJFDhVrjZSYicBKscoFLvhfMELiLOaDsLL_pQCM949ejCgSmNX5Xf8ymULs6izl9tPlrhSYagzbv8bLLOLdFg0YFTN4Oh3FxOZIwyzB9Q0XJbwOVG9d9qy0fT9C2MNSU8fkUYzja1sIsTQkewiHNdV4DbDLzCtEK5DEA7nKTYeqNqtPzob8rTRh0WoUc_PEFBWSOm2rLttqtgOscwL_iUn2nedbYFCjFJ-ZcUTAfCOJ5t91tAoDMP9vfVIKEhmsOY_19gDr1D1q0Zcwgi8gNMeBYo6ltn2Pga3YQ2VgOuYRzGpmgGqSUzQbyYICcf8WpKgf7QShcwajOx6SqIXj4byN79z-FiI79gHE069rIcJi6qOsRs5tedwtdUmjk-HSzAwk5_K2tGahuanPmCABFfNVQFhECtaJfP-tihi5lFuqEbUA7d1ckk81vaxllALvJE3Lq5tyBWWLNl3oyyQQfHouMR9Rl28AnVn6I-ZXNRaVmtI3Hl0gUb1cuGeMu9Gc0e6_MYiKAI5RUMxAjVrzFnoaXkYjnM5tRHzKDwri5NE3WyBZPiMrMh5-U-DgZY0KFPEoN63D-QohEitctVCIfsVuMMAHr3Wo_06VsLsSzJh8lYx1O-1sZneHtXgAf7rwO1b9fc4WtxIpsh7iUHA1ZIpiUQXOiohFyCZW1k93ocE8fhD7u_m0-zB-ENvcINs5wY1km-CQ8DFvFl6UwBPx0DH_nbbo0mTjJJhmas5Srn7iQziQjaCPnl7y7kJFvpx3AUoXfK004AZgzHkTDlZzf0H397UjAgfv6HD5lcr3378n_TQjWtk9vn7usllYIrPPL8bRvuS4faxeLSyNbD9rtZ2qZ9OmPgKBIeOKlCehQjXL3-xaE511GpWwpampCTMyZb6V1TJHzW9sLYynOC5tVjFGh2Zt3VcgjSmKDSJD5TdJGtuoEXhdbzykYK7rG-z38ZfarHoheMJq0vnZViIhkuut5LiVR-4-d9W4q8oq7bRBc2aaZKCDEXqApyO1IlDmyhFDUSSE7DiyXrapq1HNL3yMtreV5f1HQZFb52I_QHImPuN6gbPy22nFS8evoxMU5uYtMxxScOsaaNQKM9tD_kAZvaLtd1kPG4XiVf7MGvnjpmoVW7Yrx5mh6hCk2DHG1kXkjNfy20X6tGatfARLjLRgiOO6QtQbIWdV9QgQ-C9XSaN0-vvt1Z01XAVvxch_h-WVgjXSzaEWuFaHMRLuSAISubiCFKYrKE94Yw0G_4qIUKCy4qDK4AhfTSRox8jlUisbMT3GCd4WGIDPcMGG1HJPN_84gYu1oumfOPyJU_EHpbi6q1KDYrZYn3qrwxvNN5NrBilaYhv3bUCVBTRMWUdJS96uVz-kwHzpORvxqoxMs1oRRHzcjICuOq-FfqvOqufFRACY8Wk-HRkSLyUdJqGkhR2mfFp7m3SWnwx5osnPIR_mdWBfFffZOcETTzodJQGsnqtGIMJQMMFw1eDfMSrBRNQlsMIFiVKOF0yZgIad2YVcVyaegA5INvYvfdjkP5abo9EKbD6bEmjZaFXPXfMr435h-2MMsI5TWdi4kMgflXrgZpiYJZmRQh5O71iJZMZqVNnJxZ5sfKl1BAk_frt7VqRXcD8-Xc10L6wTxdEO6tHJKtIItjHsNzK0pkeMxy8U8iRo1NKV0u_AUbY7z_I3bV3RxwDgk06R1O_1-XBM2twiAFbjveWJVk6bBwO1hJty8qHcKck7HOePBWX0w73l0LGxPiy46pjRZUxj4dgbaL6jYhok-ZpaQ5hBNma5-CypjIZzLtoSiD6hGZHpfrfD0I3hoULgT0ZlwHF2SPRyfmGlHHDpkiS5r94CbEclJdBU2JaEVR1_rHbZ8ZWKsizq4wRE46hCLk_igiSjO_w7ameFEtyNnr0AUNZLb9nE4jwsLd1grn5zuT5gk-R8DVEQR0XMckolgtWZHKzBXDnF4CeT0I1sO_RBAlYai-cCmqCRoTUJ3eyBBSoUWXuRpAA4sTDqvcdhFWzXqvGNz-fj-9e5VsgQeSVQ4bWZeeLdHTk7wzSVaM9XyuIFzYRqRur53-yofDtoevjT7Fah6TVYtlReUteVwBl4mvj8R9PuJAR8jKrsdCePA2w6COMZt_1BpAerXygDt6Dp7snP8ghpockLx8Uz0Qpx__Swv3RsgGPBhWcAf0eUAsYlRWaO-BTs1d61R0ihIW2R1R_y6LpxOnMP0XtCdIU4h54R9kkI9pHIdMlkkRGr1tOfPEBtQ79L80lg==\"},{\"role\":\"user\",\"content\":[{\"type\":\"input_image\",\"image_url\":\"data:image/jpeg;base64,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make the triangle blue.\"}]}],\"tools\":[{\"type\":\"image_generation\",\"action\":\"auto\",\"output_compression\":10,\"output_format\":\"jpeg\",\"partial_images\":0,\"quality\":\"low\",\"size\":\"1024x1024\"}],\"tool_choice\":{\"type\":\"image_generation\"},\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"reasoning\":{\"effort\":\"medium\",\"summary\":\"auto\"},\"stream\":true}" + "body": "{\"model\":\"gpt-5-mini\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Generate a simple flat black triangle centered on a plain white background.\"}]},{\"type\":\"reasoning\",\"id\":\"rs_00b95cb57dc3560b016a8ddba6019c87d1984c4acc6372c22c\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Generating image instructions**\\n\\nI'm thinking about generating a high-resolution square image, specifically 2000x2000 pixels, with a plain white background. I'll center a solid black equilateral triangle that takes up about 50-60% of the image's width. There won’t be any borders, gradients, or shadows — just a flat design. I’ll call the tool for this image generation. However, I’m not sure if I need to include a final message, given the developer instructions about the tool response.\"},{\"type\":\"summary_text\",\"text\":\"**Calling image generation**\\n\\nI'm planning to call the image generation tool, and after that, I'm supposed to produce an empty assistant message without any content. The system says I must include the tool call before adding any assistant content, so I’ll definitely stick to that. I’ll call the image_gen.imagegen with the relevant prompt. It feels a bit odd to send an empty message, but I guess that’s how the process works!\"}],\"encrypted_content\":\"gAAAAABqjduu-P1-UAdQV5QTzyENWcs3UAQ3GzE8k-FSGz-KroqAXu8Njxsj8anM4NbCgcuoJ3V7qcHZGozkQ7FjAD0Wp_8_pN80FOedZYfcreSgLf3zKLuUIODAQITKoT9AiRNdp1rIdV2zc64VcHZugeulfZTBEgjK0ewK2hNI7bQbq0cCkqmGZUsxvSDR1W3yNjAw4jGzvxOK4B2-bAAF6NV-pDp90Rnnh37QgG5VBtDMz23FLMF5V0eiA2UKMjdgT9C_lIoKsG32UG0L7joOFoE99mTOsvQUuDb1UMO5buV41jHcOOVgZuFc6LtrS974nHAY4ygismKEb3IXotwaklzwIJbwDDfjN5ndFgsbQ6IketysXuot1LjgWfqcieA9wRSnp9HQiWfekfGIr0Vct8o1R-5qwaNuVhOdmz5OULVv65Y-lCNWtEqGLo1CXwGNJifzS7sWYwp4Y0Na4CK3vzwSib5sBEGxJ6GOvKvP6qViUVSBxYbQzIBzaRpuGqp1XMfnNvWbmOD93rca51JRpJIu75k0t0sCBfGiIDfEc13HbRnXmJlLiyTnCIgiYtQrwB8YgXi5S9zgULZST0i6xamcbTT3bP8OA0UE56ggLmr2-5gVbZRdkUEtJzX_VACUcr-fpbW5eEMs3jJyN8fR5EKJ-ft7m2PKaadcOdVxe8pTtgyuxfXQEczpD6RcM5XmTIHQLoig4RVZFIrLgI48o_MMAx8pwP2UsIvycC0bz9Q8irXWCc8tWUKQOPkR1EQYhaRNU4uiIxZFwirAXrX5LeL1ParPdYv0IouhwxHmUlgDLwjonB81uZJPc6rz8GpRLnXUHQPReOjXqS3AVPg6hr3MPgF-5Qvi3yHpcaNdwDyz1AvlbL3KzlrjkKGcMKJ03TM06UCleIVU_mVXg4ZL8NmDsOaDEAeZqoCLwgl7MimRNWBBnUlUqKdd-Ook2ZTD6bf_G_ZlcU28x2qxLh-Jx5fDNsUIhzgZkjejWI9vRnFuuDi-5Jtwbk4lB_TR9RufQ9CCJImVeoiuX1XYPgFX2Q1qdOE0MUa5t12W3KTrGiRETZTKcR3orVid230yBv1r5WOltaXXKs-ADgTFyR38Dhy65-1P7_ZXR4h5YIn3cwrM2qekTBd2C3PY1sA0CRWhGXGk0kRbzJS_bsmQaRfiTrQeGqnHGL42nW9AQZbeer3HAg4gh7neg_IoGg3M80eRH0y0GPK10Tl0HIigJzmGPyOhpHfUgfbedcfcgOm-OwU76Ey5xITB73LbbduKJq_JaTrd4EUAShzy-BWYSZgvRwgi_7r5rjinAraGEcHTu3d6NS89lDpauUR0-zfAbcSETpjVm5sWA1f_YBTlu-OyBKm_Z7BnZiRn0wXt17NriwPlSjWtUkYV31hbk_LehZOiN1xBDGQtXLYbL5qo07hHwxUhzB4WSSFa6o2tFgETCPebgb4S_wcJxzWYLx4-2ThRTQ_Ql-a6cR-9xvHeEIXT9TrbO8T-P3Go6_VppMW9Cksqdvp2zIFEbBplwkkMHKuIJdOw07uKL6VTHaAvSweXFUGnzu2SH1y-1gFpBi7d3bTdkrSJmDaVUTMrjQpbWY3YwWbHL6XcNTw7yYDpDqH10IcarMA0KY0ss6xIB2yxzx45Yxyn1nEdOEU9rQhi5X4VJ-EPbAbJ-p2xv7QdRe9WQiNiDOskJUiqCJKIrHJC98VuygANVM92RRTByFe-nAGTRiDPi6LC80Do-N6R8jD8nRNyg1VEP0a0eYHrSJbS-KiU23RUn7KEX6OHClEJj-91xuS40FjIqielIRuttJI41Ry1PUlYG89XPGx8goJh8XTZC7OOWTiDf6Y0M7qXXbwePMzYBBvDXU0tKtxlWFOAp_cnVX758Jlw-3o-m4W8cEiiyI-JFf_uRmDHi-bgmZJ8p4FQXbLfrJzdhImaXoOFWQk6r79zcNNAvTCi3U-uY9gIqWDcncqPacYvUdPMKAV-BxatN83tH50aUVM2hBnv1L-GYBj5ryI9FkFrlGoqw0hZTPS3IUffQvzkf9hzBDiQAMcuZ97-D9SkPzUATfMMRnXNVFphgAsi2w83tVrN4ltFYz19pLVIePjFfINxC5eZWd9GEk6jxOE6ZutGC9zqMg9EZ299CIufX2-GiJRc9JMFxmS20eaqnucPVuuxHTlFkDfurdIantk1Yz5FAPaLexiDrc3Rn9b046dmaWPGTvtfVBWEqDwrQiCKuUw41JSnP7bg13R0Ka-y1uY8NiPzbqhPVDtgJoRwn0rrJlffwm5KWdKenzZwl1DyscjHT5SBfYdxljGfQdOEgec2PYPPGTH6P_AxAqQjsmYP84wjueAH0Vh0fCOlkWD4_BjJ-szB7uHr-crG5WN7kYwfdNg3kHmC7mhMZ7HYbs30t72dSnxF5UimQNoj8uTcrLLL8wGgCUZWEnN3kro_irb8jHHkdCDgIEv7mqtkfQPfWSMHm1A4CwN-DbNnLFHfu4E4XB2rXoUFfEYSUebCO13CqSPayktnemTWKXFzLubGjA9sOz1irh15VIemgayTfneCGQGMosfp7VPF4pE4sSeDotAW1b5lvG8xgwaBnrQG-O-QQ5Jn-jNs4COD-dLmwFsrADaKw38GRmEeLU6vZv845xRNG_N1VqcPtsSHq2KCO-NrGOmD2p51g1q6MZArv8DxKZQntNxwvXK-8PAnaQj5Ow4vgFhjovgwMvBV6P4ZKHHeGZRzsjubQNrq5Rzc0Bu09kBTUIxjeOrtyfYcqhb6fwUImXXdDtL8bO2czVSQVYapdr57CT1970FRgylHwYSamnwcCxZ9rJYjmmDPzaJFw_XBrYEnbV5mas9e04ww96PCpYb38t0VxKZm9gwUdAFdn7HaRYp5INFawGMJfwQKPeC_wdsYYR47rOA6rlJ74G9Tf1rS5xQM0pEGJe29JDq4AsDqi_li4IY4V0G-oql3SSrAQcrxTuqMxKIYn0d3TvTBvwoZ0-I4vhWcGdyL4W4Dzy_pjEy1qr-sekml4wIZmA-tZJ0iIkrp1P1NUNpS63-72cPQuEr_0XJGUegSdv2SiyINh0QDyrOdE9HHGxqnKnNMy2Vz4huK1phGcJhS4grQAlg4eo7HhLckvBej61NW8TTwdHp-TX-vcr6bXAZGZbiddA4qRqUKKTV79J6RrJU3hWV878XNYrtBZBPPUNh1aMSX3CCbw-naS-0FpP1IiQcQJcKTr11yBzwlTa-1CUWbRKLf9DtP5hgjkeV5z8lN_H5MdfaxVlk0KVN2Hffde6muvMxfDVU901z88Pqz_gfVbOvEIb1qhUq-3PUPrNcytAcCvAUNicDUs-S4MrAEhi9kBDYb1-jH0uKuJz2FE12zatuAHU62tB12-u03jH_wPz80gBHikhbK3Ksk_xZ-l8gIGqXEea5H61KtulcBgamX1zGpj5yWPRJu-MS2fkI2uK3D62U9u_F5QO1CYqtifViNVL_n-baksxxUJW_TyhPX_jtZ67sNWNf-7DEj6yWN8_mQpT6OYjUz1q0bvE8ZMzwBQIRmzHwDsxTfMiujBucvHjmgxxef8cf8t086jyaUeonlzQJjK-g0rIgeTlZKHyxslKXwaGpAVnk8Nwi92go7dNtAlxh0qeGlQnd4NHN2w7aQc4fRsXA52qY3b80Q8CH7hproZts3qy6S7t6Sf9NSR0kXdQD9etOVvRE8jTs_Wgc59IVDtV1QFgON0EvZovv8zNBrd0P17CR5CQKca6Kl4o0acWSAHZTSzpDuI0RANmeWlsQENulbowT_Q9ECtTy-k15oSydjeFYpE5JISDc6COgHngm8VkVpLNYXDv-fqcsDrRLnBQGl-uxR1ShSt_1WUrKRxKBTJhyXFkb5AGOxS9LTT-C7XYmVNI0i9RFQtdR3n9RVByadVzAS6QCITriV5aiW2usl1Sztf1v2lSgwdy6jbltiZF9dReA2vlMXma7RDWcazNgkOrjtJLf4iHzmtdaloZExqb51aO9DXX4dpuKuuamc3HVKKqTVecJODvFtwD0Fc7b3bXgWX0ZE3HJgxx1TFazycKrx2U40A3Rx_A29dzh31dULwNAxHwdHhXS-AagDzib1OlCqGQnf5x2bPGBTN0dSEMwdwXeLJzGoZsGIK0iJQDbafBf3jQ6VRyhhA2GqeGHpAIJuoJAxKjZNLM-SqNqPmhzG0bkV4WvKcc4YGUH04Y7WQMZ-DCUIL6YHD12MqWsmY0tLRqETbh5HWNgnx8QQD_GrMlTbpTuG3yUj49cXYuQDYEI5vILUSiF0eu0kfYHaUSboL7CBVN41RnWT7EfMle0vNm9WrG0E3cw57e_GDeEL08ZP0dgwbLBYXJHMdYf85c9rGzLbxy9AtaPlkM6jYHo-3Ie5aXhKs495Gz68dF9biN3S2DyDeb-JHS7HDYEodfg74n0-jVer_RfxSm5q0opMILeY7EMY7985WmOLmQy-NYeLhQqtNOIgaaj1GNLHsUDv2X4gh0fhARADol4x1HX7DyWjjtHJBTWSQ16VS8jwu5xh0NwnOlWjgj_Oi5ZgUp-vhfb9otF1w-sc3pYhmGrbUbsvNYxTocqBkkRIJmu3HdZ3L29h7I1l-u2yIeSabudjpx43vLUXNl61jVM0R7MDgdppCkpI9Q0O1k0D7HmJ08IH7Gd1g8IXLaepf5Rl0PNQ6vchO6K-tX6E2-rp_W9JlfnaGbZndE3xrCeTlhuzL7OdrEAuMaAdvImp2vEBdJD6GTQnBjqAYHN8zKggbFVJC3rEykmiaF1zKrG1Wx-tWG6-JB4ulQ_7zxTW3MDNTA88qOyoRMcvfw-c6C_L2aFDBslAguyWco7ncocXxyezcbzMwF67_AjPYfNSe0fVa7PMNeR6wr1gYRCQKUklRUXz47Y9aG8OhOanWqN8v2IQG1DnXMDT-n6VMOgb45vfm1YzxvDHvgm-uIJjyYnv4OJuS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{\"type\":\"response.output_item.done\",\"item\":{\"id\":\"rs_081ac687f40ebf78016a869ed7b0b48196918e1c462c06191b\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqhp7ecFMWLPEkCUezxvsYtydS2cuJHmikd39cyIynF_v1l4whdu98xuGkyfu1EtjB3mtJbeLzin2tpunmyK2d_4BUcPtSAH2kFI1Lm5sl2kmrCoJT5_mgmgKOq1DnRQnNH5489hbmdMoFcn1FKz9Ik3e2OZR1KjpygSxXtIM_bA_hdoOIjLLJisZtYYN_1Fkkx-bUNqY1FvcF8yI9L8hupVeDH6_8yzA1EP6OLP9i32qqXbxJ9ffBlImdbSaeZ7SIhWOW4KXJz1Z0-pAN-tripkoEf6jpgQgsC5119NVqnnMDnMetCEyviO_3Pn6RHH5ZwnyFWhPIjXOffWWkNXSUTrGN83-IXiBSaptGiVDtj8KiGBRR3Ng4hxSc-PzmEhJK686ZLGmGIOvTH3YaZl-L655OnSFMxmDT8VpY29SqKFIvXz4tGXntwYygIKKIcWv1R0oXDDc-tyVH1-VG316J_DoK6BHrwJgIqQF_DmpSk1oOFGeoFfy3qrKTY0JjnKktZ-h4q-mFXf2Bzw0gMro46KYgt95ka2uxgSZ314nOj8raRoFwR0A8erWB0eWDISih8WI8GuvqyJ_jypH6AhPUbbvm4vhTO5KXbF1NPweuVl6afOU27i3y6-FAhFEWyvumgRvnFZ3gU5hkP_t8DoDICxlQv5w2G3rQhdszLov6SPa9aASZ2R-2_fcHxE3EY4GBpSd93Xy1K5GVNhz7Vf-3yoInIzt92zSFC3sS3_FPiQAH0qEuVR5yaungdUvMO_nggVbjBqeTxyQVzWPbbQBQ1fzbJ_LRXd31iHk3A0cF5FfZuUS_bI4YeYppCGchOs84Jpq_HisjgpKIVIWtTKDZXfBaNyq5Kroj0Je6rVEqxlxDN6RlVmbO9P6gsmRx1BGwo7ewxLgh1JzvYpd9EURaikymRJL2xwpWE6It3BLyuL60hSOhjuP9SfV5zmIVmmIf8IXuy_fsIVSyF5iYZ_ZLSYksCzPPNgqFmYHpnuK59P8lRdaPWLWYGVReQdS7yw1XQaVMS7PWBbWkW9QTGKzABjR-gWdBRxvD6tPjbUIMkMOAQO5M_W-9QjhsEuMY2Z6xy1rV6PhSkwOthDNyisdXgJyqFRq4vt0tT3XAiQC1wvRGZjlL1dvRa8pSvk8Xbb_wBkPoP20XI6oFf4xYi_nBK6t5tp4MQ38hkdKW7PhiERMnYo1dIvJaHmAmIgxL5R0Nw5-HEr1osF6DPXQoJ-WTIq_VJuU6SwXDlG3kbZ6e75u7SWxz5B7L45lpaLM4jZhUBk8khvMLdzZ3-WoSAbGu3DyXw23LlLlMbTH1BwGx7r5pc02Pn7Yztma66AaklsvqZpNrLUW7wj3bnlnBExPDuyGhElChrgNRP0jpdgFn5X97mu1zI7MkWEHIvwsV-WS3dIJ0eZIYjC5c-b3QRqBleWNDxW63Nk5YRUJoBfgLiOIwSD1OZm4TXf6Jfj45lALFrSWpwJgTNViynObbgtj-_uswpZSrosDJ-0C0Z59xvAoWHS5yV5d9a_QW2OIMUTspKzHGPEmmqjBKMTSsC6-nCfffRKtg7yAeOXW1js1OZd98ue29lFgeZyIQqYvgPMyzFFqdIvqxnoJgt_GL_9Mv0PaUd1gOLjjfhdT3SF7k8rHe4BMHfYpgqwD0KM3ebmLM2g_Ra2f4Is10WDdNiZ2EnWwRRYyIXzeqCAoo8ao5mq0WTGxrgXnQn-VUXD63GwkgjA4jGTiL-LobmD0glwf29GvJlByTTULxieSwUyzTm7Z6y3QCiXc13eX09mhlDlCc-2qS1DsFejljxlk3WzCAaqmu3NTWGqARuREtKyGbknHZOAXNlUFui5rJeYyKzpYzFKTkD7Wv-Nc6S9CKPdYZK2SUcLC6TTFnTh-vFQoqq4PTUo-eXUAjEXgnEDJHSjcXMfHDidVxliVHLygFCaVz9dYTeDmzNkzVuFEEWxeKY59ZtjyeQQHAMChVzPryTlKinGmby10wD3dIaCYdUN0UzotuVQGpjAYf-sd6t-DRy-oEgX-k6u0GTtmz2g6TANO_5yPbzW_Zu5QT5I_CLSUSHwpAq6w1Am-CWrK9WP-fymLQDqhiwUfBIFHkNIuCXYEzuT0j-RcQCPJl5RMwRASXLaINtL0kB2IW16kuxFeWJbGSE846Iv0gLr8caK3Fs6odNMFL2OdMfxLkOlS0iM7kYbN7g5ry_Ha7k8mnmekTVOJ02G-2fEypFbnIpGV78z0Ufp4D1mBOAUGqpDfpdNpW3-SjZ9DzqGvOLfEiqfdaVuCWd0z7enIhbUSoUjh2N4587kiDECSEcvyhYDEXrzbUGo5-IM4zQrzTvaHn7MRj-JDLFq0TSwCQ6nVFlNRoVv22hTyL35671nmGimYhK5818FPk1A1V0NgX-fwA9RrtO7kPpesGFtJaOOb0u634HUUOyUMtHQdMYv-IcpTC8A_sydcHiUjHthAxrHpXHZCPBhIze3rWPkkM3JviWOJ4D-FL8X7oZdBHRwmpVS0-RigbKU3l_xY1uRQ0knhAqW5YJ8ltt4tZJfa51LRJLgcepSKvwCTab1p_eDaU09NQVYtb_rpmedUjZzEzbfVEf4XLVEnJIAlcLSgGb2UMlyxtABGQ_46Fyjfw1Dus-S1z0JYHa792-2BeVgu4kowyHGi8oAIP4NY7-9ezfFoa8hPN6l5oSQKm9KSuCM_M4FDsFO5SsL4yWRtCOJAyjMJrp4Cgnp_g8MAGTtwr-OAcntiSq9QEsAMCNBTtF5-lXEArBw9WriraQr0wJIJgfkHoZBB_4O0w_GnBBLVUnCOhxJY_Xf50kP-dGPL-_9kArA0PRSSeJ0jTzPzXUPYimkXqyDt5gKLfNr3tomgCMYZaYXDzeHcoKVMMLZIsROfGS6_o5iYiGpeWLtSxXi-qh6d_WCGUVSHRxSgJE2jcFwSElIP2RPWgiTL1xlgzBt9s-9o998p4PbVWYEyvUn3xkdlJrxpkGTzf_kxUcDvKOTwQSepQTFIWtfGj1ZVuL1wXubUC302NyhWJ2EyoxT5NSYdnQd8qwjbFSmfV6lrRnpSH8EZFOX3bLLiyzdHTZj0EQsTtRNmRme-Yre2XCvrFZlXppXVh8-uU0TvoATmyrlfIWphdFUtiHM2nRCkSnSWxlUL7nqR-oivt6LhHG771bXBZMaGgqT4Y3knvhoxCo5S6KWbjJ7gJX0PAxf3f1MvsC9wd3IHNHB7UvRnnwJfyh4WAQjSBEGl1VB19_lyls7JXKrKT3DAOi5FvHymGNppKNuxNroLvUzs5hck2SZ7cx732OMNuuFfnt1s2T0JczDwez4tUCHCG3vjBxhhClDOwWkhRfJfQL0jzSxr1JX6notM_S6VMIdohTr8q9RmlT8o1zZWPl0p6kRtSL9V6ZtkNJeSLTyT_v04h3KxvzBJv9W2oVPdhsszbEWigjKLWanjmqjYkxIGGPetqzEKP03HdAWRnS-NHZsihlmTU-5akayjHYt9073sRGqY6q4giaxDFABLEuAB7dfGACOwyGWRW8hnwDG9Qm7t51BVgooYTRzzb1yBXt3bTFs0I7Lva_W4Nt--h0RpxGQ0miAV6tjY8fwT9eEablT2Cjxeo_UAd7u00Imun0EtVQbtrynL2Sn3pqnydTOW5BZk7qRTVcz0mYXo2KF7_9Bk82IOPruJQ0RcvIG19dQeITI38IDZkDr5SoDE5B6MZjDNNJRGa0cb8omI5ErSaUhm_wgZUYfIcPOcIrDO385lF7eM-PWzUqzwP4xNA4_mkokXGHhbq-o2iQplTSa8hHBJeGO0vg5-5cGxZHpcZNncT68ZCCxoJhMWS-FYnihrsHy47hzAZEKMCtZIS-3tZ1yZ3fS8u91os-7XMTKXTygSWN_I8URTqvowkhm6f8MNHzmJBsLJrGc1Ts8XlQ0pswdonrzoyGt-L68vORhK5yYqluL_Zz2cDiIe9QWKVpGinsibFjh2U1M0wknoLFnngaBVlL5HvWI8DSbVRF4yjj5NumEl03xSmrr2nCVCQiWH8jCibI7xXvV7nVz9N7bHRHMmD4WRDho_q98dDgwF-y70hfVvuLkk0m__7cr2YO3eZJE7zdwxOvVaFUWyCVsyHmZnHbNtGaLOcwAJa-V_rcdS-xqZ6JEtj_XhVS9rPYf-2gGNEJD1KvqV3HBVp8r3W6IXg5Ba25Fe_zGY5p6-KixCfbV9vdlAJpUG_XsUsVLH6h22i1lwvuWxcsBFCwBoMCGsPkq9kccZx6OIQjH1gaP8m-qAy2eXdlcalzRICNbKhiWlDtTPZI6Mqz0Jjtgxcd-w3SqMSr54Bm6qVTxLmjUbFA_LuNgq4I5h3am6fFxfQ1TFWoeLeXNhpfW5m90ZJmNw5bDEGKEnszH_9m0uNTVU6PlRjQxS3BqNgw-cFHMqai5b9eGxHdKIMSqk0jf-tVtkW2tLtwd0M_lxlM1Rr_5iS8bPi43g1HxNmjNskIaPwJD5Kbuvwb3I4xGXH_tUvKJHvUIksIDkseGTw0burl3q3xvd6P1LnA8pO_ipDX2DwcTJriLO7t52Rhw9BAq4KSRj62i3hoiDuR-UWGVM_l9YEnRZi-4Yh6oSBoooqElXvxgpWNE-ltX9J3HH03vyhcVXr4WpCkI0B5Ajpx26KKdaZ6wf-xtuqJSw9MclCS_BHkf_5HNhpHQiCEJeFQq4anp2KUgkdDrNNkxmevJPjqPc1GEMrPqrkJGJGQdPmydsBReEYARrYTvTQ4aUNUS52-wP03q4TQOShEV-FTLwvZNAgP2dhcPud9YRVuQccyaOYhdObq278AHXiJNFZBJigfSJ5yS3Ptgw_JvZNGj_owD441erAyv4sSi0GbG4VDRzn9U1IHLksQh9tnhFxpbU2dQlG_9rhzC67VBaD-tJVH37zgQEy-6X9hYYRG88OnSxImaZ7CaoAsGjjQUpWH6JHn2yxZoGhpXAqMZ5a8B2QY9RYUDopWvIA981xjvkrEw-Qx2nIIjSk02kAkdb0qTXsNqJUZh9IwDHOSHmrbd8s0tQwPtsPtsL6nyJrBvcG52xwemtTm9zv2wMN_uxcTyQ_5ZCSAeXOeeSPQnu8B69vgib_YC8v9hdZPMHA4_tmja8deqq0KG4gYfd0XL7bEp4iLkI7pD5QFCmWY8SSU7rNecCDVZbCcgv3yjcM5liC0za3r8nUpsMXZOHQlSXS2qwmhPIJTRv-XrcgkwbRD3MqNEPc3-Qioldxhit2H_BW_KwbwM8ShAPopJiMVZJ2mGWsEeoSr0p7TvweWBh1A7B6Dr6QOWAe2S8VZRjddQ-vX5z7GG8i2yCeh2fTdC3a4ydXcN9relHcfWgC312q0fwPpUgUcnTgFthXnR4Kf8UU16L1HYoC4ezVTqVZFgxXR-rFs3YQZXxo8eagZTNhrfe1edp-W5KTQ4-fxAtA24cASsr2WorxyrZHBWeGAxvpDQl00pqc0kjNq_IajM1mqgnePXsPOie9dTsmzUA-saMTmojsY8Q_Qjw5vHFhL5AL34Ir35iF25UJ1Brl2YI2ljJaIR41zMzE2j6QpghJFWMZWcqggpdjIs3wLBgvQj7-M7aXv8eBDlnZUG1TX1QfpkZp0_lKvqjaDf6hrVvI5AkYIIB7YpEpMwjXU4oCiiJqGZqJlhrKvDXgc_ZShouSS4Nm2MWYBWkVX34APxPOBRnltU5W36o7xbXG53pH8vgqr43SBULwKrxGKR836B_wnRl-pH43rfSCTwTtTfB8ZNNQhp8ubHbfCwkNPip3OEbx1zuVJQYsz-6Xj445k9OurrsJX-e6oYh1lD5zb31F1O6Bem1zsjulT77Y-SoTYXPVXP0wVMOgxnbmmgDc1unMm_yBd39yUiXtr2e6XrAgqrVGPhlh66SeLRwCUpiqzVfPYJKKWO27RmFd34Ij-piB8CRH2fg9Z6iPp_H2c7n6RUbCwe76dcFT4W8jvOVBkinCZPuierC5GQqBJ6KOY3qjSFFTDhBNVVTS6ON8FOw-D3-VkTdrEvhk_ppafzjMnbHS3pCwtbG1YjtnQkmeP-Lqb-PDu9mfU2CxRn6tHHc_P74-BzZeolJrFOoo0fqeyEikY-1EIu-rxqm01JgZu54pN_0WG6COgPSlOc2kmOSpWk-3-2b1OQ68lTnqPp2w55I_r0hBbNcoSnUWbvyNHziHMu-Dq6zs9iyKXgSsdb83rd_-jnS1ixCRfjS8OrYW7Bs5-hm188K-PFbW4NKpVKiRVX2x61QIGTQr7AFIDkeyCS2Jy_ZKAyRVoKl-vOn_kMBzQ2fu723KvyQGru1xy2ncTUdHpH4RoBhG546J9hZMzlFpyEP_ORzYWEXI4iMTHPx6etGtTTa17LeCe5Uhc6db82N1Jdc4SgjjR84w5d61hFqATmkwJfdh\",\"summary\":[]},\"output_index\":0,\"sequence_number\":3}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"ig_081ac687f40ebf78016a869edecd3c8196a6ad858f9037205e\",\"type\":\"image_generation_call\",\"status\":\"in_progress\"},\"output_index\":1,\"sequence_number\":4}\n\nevent: response.image_generation_call.in_progress\ndata: {\"type\":\"response.image_generation_call.in_progress\",\"item_id\":\"ig_081ac687f40ebf78016a869edecd3c8196a6ad858f9037205e\",\"output_index\":1,\"sequence_number\":5}\n\nevent: response.image_generation_call.generating\ndata: {\"type\":\"response.image_generation_call.generating\",\"item_id\":\"ig_081ac687f40ebf78016a869edecd3c8196a6ad858f9037205e\",\"output_index\":1,\"sequence_number\":6}\n\nevent: response.image_generation_call.partial_image\ndata: 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response.output_item.done\ndata: 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kwGXdvcmcuY29udGVudGF1dGguYzJwYV9yc2YwLjc5LjJrc3BlY1ZlcnNpb25lMi4yLjBpc2lnbmF0dXJleE1zZWxmI2p1bWJmPS9jMnBhL3VybjpjMnBhOjVkZjUwYzQ5LWYwNzgtNGEwZC05ZTNmLTVlZmVlZDY5NTYyZC9jMnBhLnNpZ25hdHVyZXJjcmVhdGVkX2Fzc2VydGlvbnODomN1cmx4JHNlbGYjanVtYmY9YzJwYS5hc3NlcnRpb25zL2MycGEuaWNvbmRoYXNoWCDyHaalA+B/y+VCfS9a+GaZl36Ne1Dc37gryhZPu8kwGaJjdXJseCpzZWxmI2p1bWJmPWMycGEuYXNzZXJ0aW9ucy9jMnBhLmFjdGlvbnMudjJkaGFzaFggAYcUhb1szYf3nwnMfgxBNKolqsCwP6OBEXNAfbOKlHCiY3VybHgpc2VsZiNqdW1iZj1jMnBhLmFzc2VydGlvbnMvYzJwYS5oYXNoLmRhdGFkaGFzaFggW1qn4iHeuySHeU4Skk0hoXX8tfieCg3HvoSajGTeBCBoZGM6dGl0bGVqaW1hZ2UuanBlZ2NhbGdmc2hhMjU2AABMu2p1bWIAAAAoanVtZGMyY3MAEQAQgAAAqgA4m3EDYzJwYS5zaWduYXR1cmUAAABMi2Nib3LShFkL6KIBOCQYIYJZBYgwggWEMIIDbKADAgECAhALpfzpDnCM8gWAMe5EHGRzMA0GCSqGSIb3DQEBCwUAMEoxITAfBgNVBAMMGFNTTC5jb20gQzJQQSBJQ0EgUjEgMjAyNTEYMBYGA1UECgwPU1NMIENvcnBvcmF0aW9uMQswCQYDVQQGEwJVUzAeFw0yNjA0MjIxNTUxMDVaFw0yNzA0MjMxNTUxMDRaMEcxCzAJBgNVBAYTAlVTMRkwFwYDVQQKDBBPcGVuQUkgT3BDbywgTExDMR0wGwYDVQQDDBRPcGVuQUkgTWVkaWEgU2VydmljZTCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAJ26ahRMTQKX6oGJthbRvl5YThMDcqGZ32kUcXzlISPTgR+iNZxMoxJKPO9uK7/mZK7XhEtpJFpjz+p2CpCyZdt8ATyN4f7BBTN3ryfeOyA6tA9jh5gbzU2cGr+0fzMRRKpUMDdGuAf9mnlEC3NXVaMDYxF8HRLdrFgv5nqu3qWYwxOTTkjwWvjgfKSSS9VsusrCBSrIkr511JRntVcNqmqabTAwLNdVYYxq0lO2AHgdXkVDnk6SowOA8a9b0bLr/osZ7xa61zcJlatkLZnJh5r4HL8u0OdjgJYamnmgN5M2ozXJSMksmGMF6USbNR6suQinU2wdnGhzyAoeOcwGSfMCAwEAAaOCAWcwggFjMAwGA1UdEwEB/wQCMAAwHwYDVR0jBBgwFoAUOT0QR9yXj6+Ie01zGB3N5e6kpSowbwYIKwYBBQUHAQEEYzBhMDkGCCsGAQUFBzAChi1odHRwOi8vY3J0LWMycGEuc3NsLmNvbS9TU0wuY29tLUMyUEEtSS1SMS5jZXIwJAYIKwYBBQUHMAGGGGh0dHA6Ly9vY3NwLWMycGEuc3NsLmNvbTAXBgNVHSAEEDAOMAwGCisGAQQBg+heAQEwKQYDVR0lBCIwIAYIKwYBBQUHAwQGCCsGAQUFBwMkBgorBgEEAYPoXgIBMB0GA1UdDgQWBBTznRBN1A3LnXL4Rgp2GEelG2hPdDAOBgNVHQ8BAf8EBAMCBsAwGQYJKwYBBAGD6F4DBAwGCisGAQQBg+heAwowMwYJKwYBBAGD6F4EBCYMJDAxOWJjNDAzLTVjZDctNzY2OS1hZmU2LWZkYjE3MTc3ZDQyODANBgkqhkiG9w0BAQsFAAOCAgEAgjiXbGUfoTcAG/H57Rp0utWmWx419WdsGs8rZmlAzfX80nJW38qVKOr4ZhjeQkM9+AV4oGgeKBmJrbXuf/z1MtKMuF/nbIBu61t8l1sw5xMPLkK4A8Zwmv7+IAmsNUbVoAiMSUWAw7qSH1XHBFoVnW/S69h5m5Y6vEQSkDQFFTR99EGlM5cvLmxRUgptPUmwFcvHhlgRB8zc7p4u6cYHObgzXCDaEu4AVzNULnAoSiUpT5J8LtL6HN1nLnroUHg5UbqDOtqIfpAjkJL1Ylia5cKoc4aexdhx6e8YXGR7ke4PNy92mHhWZOdvQtEQfZIBvIUWam9tGWSF2P8ilu2577LQXBoFhH1oXTVbS7HFaUgWeQbmaI6gxGGYOkz4wCR55aZo4O8Z/daQ1i4tQQxkdRBWX5OUtqGcigIaPLbA6G3zxUPndixoF6Ty5suLiJUW6BF7FSpyJIEQPSHGY20vJYCjmVuqKaX9R+rh92vlBPtbUCZtK6GCXTH13WKofDID3EzHpSxyMFCAV5MGguLorrOnCH+vWTSuEHLvKp2ueKziM+xTtcmZ0iioKjehTqv8zH5YmydtReG0KgecBL0FMFehMS4gLsniyBBU26GSFk++JDWY/i8FadwbuE3j3gcvGuhs9cGK4tP+cnfTE6gr1FeXrgwLBofYAAQBvpO2EolZBlMwggZPMIIEN6ADAgECAhQnK2PIzB1NLZuEUXJs9JxeMlGu3jANBgkqhkiG9w0BAQsFADBPMSYwJAYDVQQDDB1TU0wuY29tIEMyUEEgUlNBIFJvb3QgQ0EgMjAyNTEYMBYGA1UECgwPU1NMIENvcnBvcmF0aW9uMQswCQYDVQQGEwJVUzAeFw0yNTEyMjIxODE3MzBaFw0zMDEyMjExODE3MzBaMEoxITAfBgNVBAMMGFNTTC5jb20gQzJQQSBJQ0EgUjEgMjAyNTEYMBYGA1UECgwPU1NMIENvcnBvcmF0aW9uMQswCQYDVQQGEwJVUzCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAMs6tM24nMsWKVa4eace+Gv2+diPcsOmmBMarQMqQdphHi5HCFK9HnRRvl0E7HqCtsD7+g/oJ6WL6P5i8wxg8QNfSBrKcwF/c5XkGU5uzE56Nd5YEeHXghfc0hZHQ3eb30gZiHmfozmkWU5e4E4LR5fydULXdj22f6Qi3O0Hxm8f1HJGjNZRx7W3evKT+SMn1YACElB1inCgaOnnvIQofJwq6impwC/+yXYRGUZVsC9j6n2e9BWwRKRA3kA2XESKVGtXSP+7EW+k1eqOwh7XfNi8zmm/oB8ATZNFO5kuedLPAZ6fKbtG2RR4YzCWM1GcXpNt+uU0Slh4sylsXXy4dRuVPJl3IXvYtErr2s3HCArWBMmi3q6Xs7ZRltqSm8Oyu1DE/rakTAOVXS2Sak9i5eAq92mgG5wE1bmTANrRu14OCA5PCMYLr/kpTNDJBOzr87JxUHt2J2iR+VCIuHc12M2h4dfTKedKxodUWSTCZ7JtBwk127rOGLhGpeALi9rhp59qzmAW0hASxPfB3hlzeVXgcLTv6szH/nYciU5mCmmILRDtw0aiKuR/jNQSnFdGLVgYYtXKqPp++MLZYWoWyzVdoJOjsmWoL+3vmOf8frpI9KqhcfyTr3/qp04Yc4hp1ULA+YSShU8Qy1SzPTr43SllEXnKQ56WuIdYliHv0ZF7AgMBAAGjggEmMIIBIjASBgNVHRMBAf8ECDAGAQH/AgEAMA4GA1UdDwEB/wQEAwIBBjApBgNVHSUEIjAgBggrBgEFBQcDBAYIKwYBBQUHAyQGCisGAQQBg+heAgEwHQYDVR0OBBYEFDk9EEfcl4+viHtNcxgdzeXupKUqMBcGA1UdIAQQMA4wDAYKKwYBBAGD6F4BATAfBgNVHSMEGDAWgBT8Kkp1OoD6mWOT8HNX7L6TsH3DezB4BggrBgEFBQcBAQRsMGowJAYIKwYBBQUHMAGGGGh0dHA6Ly9vY3NwLWMycGEuc3NsLmNvbTBCBggrBgEFBQcwAoY2aHR0cDovL2NydC1jMnBhLnNzbC5jb20vU1NMLmNvbS1DMlBBLVJvb3QtMjAyNS1SU0EuY2VyMA0GCSqGSIb3DQEBCwUAA4ICAQDONvo+7w+WNi2OrxFVZv97fwMrDQBrVvXLrR69KoGtpabQTaM+FJPkkxEMadXkjKhu5jdUCBbiJZzsZWYoPDM9ohqaorvNZ2RK5750IQShbsOrJsQ7LNpVuf1HTgTgjXibN4PEdDvFR2HvbUFypNtdQ1PJlk7lHeAEOt+o3S7Rr1iX1uf0XwRyIzxrzwu9OQGrBoyTqI+nD3ZZPuEEkvX32ftGYgWrbm7UiEagsy8qal+lTtr41PzM2aM8qXdFGwrB+Zi5OcvMoXHAKoIScdPk9iXiUSFt1hXf5FONb0p9F45ewLoM1Q53eSGBes7t9xwdm462sopCVp2Pa0EqDv5rnIvuGqMoz1/z6dBkHtbuwolLGOuSz/WvwicFTbiRoTclmeb9gNz0vMc3e760AS1nWPAv58Ozi3HlRAN6MLalsnU+WyN+O9NUpjq5x8wOHDMV1Wo1eoF2fy/+V9pp+Aw+P+9UjwGLe0bDY576H+3Efy9whCv2VoL0p8sk12xeJHs6valYOxgRabOcj9JwdP+Lbia7w6tFx1MFlpxHtcZGq171/IiLGWijNQ/lfGqVZbWr67n/urjgm0pHss7sFS+JAn0V7q+cDE3Eyc4B9TI9j/cmNAv+Iot67fleXmdfURRb2yRW+9FZobfeFppmCbbRhi76B31+lXmbRGZ8NoX29aNnc2lnVHN0MqFpdHN0VG9rZW5zgaFjdmFsWRSMMIIUiAYJKoZIhvcNAQcCoIIUeTCCFHUCAQExDzANBglghkgBZQMEAgEFADCBiAYLKoZIhvcNAQkQAQSgeQR3MHUCAQEGCisGAQQBg78wAQEwMTANBglghkgBZQMEAgEFAAQgqmJIcoRLijSPITxE2WgeekPBiQyFcdyXryKxYOcPW+kCCQDiXau4DnrmthgWMjAyNjA4MjAwNjMwMDMuNzQwNDM3WjADgAEBAgkA9qr+c+dNtBygghBmMIIE9jCCA16gAwIBAgIUYdtGKDKKjI1KBre//mDjAmw/cbcwDQYJKoZIhvcNAQELBQAwezELMAkGA1UEBhMCVVMxCzAJBgNVBAgMAkNBMRYwFAYDVQQHDA1TYW4gRnJhbmNpc2NvMRkwFwYDVQQKDBBPcGVuQUkgT3BDbywgTExDMQwwCgYDVQQLDANUU0ExHjAcBgNVBAMMFU9wZW5BSSBUU0EgSXNzdWluZyBDQTAeFw0yNjA0MDgxNzQ2MjZaFw0zNzA3MDkxNzQ2MjZaMHUxCzAJBgNVBAYTAlVTMQswCQYDVQQIDAJDQTEWMBQGA1UEBwwNU2FuIEZyYW5jaXNjbzEZMBcGA1UECgwQT3BlbkFJIE9wQ28sIExMQzEMMAoGA1UECwwDVFNBMRgwFgYDVQQDDA9PcGVuQUkgVFNBIExlYWYwggGiMA0GCSqGSIb3DQEBAQUAA4IBjwAwggGKAoIBgQDqysWtlP3w/Sefx3inYQTK/w4pYSr7oYjNX6iil50OiS+LkcgfvLCWkD0IHFWCwZaONmoVrYlp6JDbLEQyg6gKzXflNejuqGRb/rjgjp3nAiChKMM13acQN+ki9wlNl5q0hHPALnypUEcooLTwaR/wsIcpeln+DxQUNUL52WlSF0ogN/JozA/xLbeCliAbSxEORhJcPaQUhrhLRWY4ok5NJ8qVunUMzE6Hap90wyAVBQEkXw3Eflyu/h3zHwuV7QCR3zz1hpsqEl4O1g8c0N3J+g3ITcPJhFoYSSzkOHMaYFK4TO7G87e22N1qqc4gul3WxFw1EGTyAyMRUz9ijmUFEV1wK9TJawmBRVLoGlftWkZd2l12nCV5EGiDUaSYhHWRcphV/9jjQ2Kx7WlnJ0G8xY/yagcrg0no4S0YNA67OQevZ720lR7IArK9RWfNcgGIlF9VSwYsra/tpfQkr3cDPoOKZFGPkYwMOZZLsD2u+gSZoT4YjD3wvhc2oS71Y7UCAwEAAaN4MHYwDAYDVR0TAQH/BAIwADAOBgNVHQ8BAf8EBAMCBsAwFgYDVR0lAQH/BAwwCgYIKwYBBQUHAwgwHQYDVR0OBBYEFKQnVIKiioB7PcWGzT9w2cKDmVF4MB8GA1UdIwQYMBaAFPIU8LDHF1Q9I0OF3Mpz0HKAPbioMA0GCSqGSIb3DQEBCwUAA4IBgQAg+yRPQcDAvJiyMhIgEI0gmUg1Ek/ERlZ+pz4/tqUj+SpIPuBRnR9FQHjBu4NOk1DJmyeWaN9NzvL2HNJ5q+/qwR/aP/WYWQjmcM2J9O5Hi6rL7P+MfhThRtiR5py4HuQ0Rv9h0nj4fTg541LtG19m6HPAAHI75KirjoYbKqM3Ifk733tcVNhMx2oqS3/PQ3RgBYBzo8nRd6+Hqf21sYRqbr+IKs6aoZqrop6CSAcMN8UCY1GX21J8bx5nyWkIQtXP9futG16LkOLgCHk8LhsTg2qepeglQY+FEAHt5BjBoDqN/p1SUBrvh97hZM1V+SEg37Yp758nbtG6NEarSiJP52IVd91FI91hLcIxKY/EuX55AgartFfUwezPHQbhXHtlSbAZ602rpMcnQE6mtLWPz3zDtEOndtNeMGPuqBeuNSh0ZKtaNeNbLzo+Tgph1jBNQ5v/Ti7GIbk+OiwgGVcwdWqOZEui0AnRFtegZyZBbWf4A3B2uCUmVvmRJifDS0kwggV+MIIDZqADAgECAhQEjQTKxsULxdoZsLzxThGVpeq8GTANBgkqhkiG9w0BAQsFADB4MQswCQYDVQQGEwJVUzELMAkGA1UECAwCQ0ExFjAUBgNVBAcMDVNhbiBGcmFuY2lzY28xGTAXBgNVBAoMEE9wZW5BSSBPcENvLCBMTEMxDDAKBgNVBAsMA1RTQTEbMBkGA1UEAwwST3BlbkFJIFRTQSBSb290IENBMCAXDTI2MDQwODE3NDYyNloYDzIxMjYwNDA5MTc0NjI2WjB7MQswCQYDVQQGEwJVUzELMAkGA1UECAwCQ0ExFjAUBgNVBAcMDVNhbiBGcmFuY2lzY28xGTAXBgNVBAoMEE9wZW5BSSBPcENvLCBMTEMxDDAKBgNVBAsMA1RTQTEeMBwGA1UEAwwVT3BlbkFJIFRTQSBJc3N1aW5nIENBMIIBojANBgkqhkiG9w0BAQEFAAOCAY8AMIIBigKCAYEAibzUueLIoQu+YbvePGRmfqe+nG0Q06kwByY8BPTgayA535U07amiZQhI2zeGMoOOzApKoMDzNGygwJjNK5+l9Mt82Q8m3n7JTaLvY1uR5vZZqNIB+k752TgrWg7NYFqYgZio11PG4xnWLkisQ1cJ6ZTyR/lsRYoVYLf3ri9eojVOhTiFaZ80ndBN2EM9zTRt/GOT/NNwu0roduhqTmZJoO38+Bi+75oXt6h3rO+3OMy51CozxHYP1kARd8v+x10XLUDT3os8wBjWQBRBmcuUPyx9AGtS/J7KULcJR0UV4QUjVfqxT29UmJX0fbr4aOEiHHrcipFDixW2LhJDsWIcoL7KJI4u77+k0U3ouD8xzyY9xQBQ6vLZJCBk7dVzni5weKreVjwF+dSAouitr/b7qKNcy2irRNswd/LENHRrVW3Gh/vyMjyecQ5FE/fsUA/7/tYEMSa70MRNYeJC26/DK25fKxkb5uKw741cRM0fwHN9j6LpvW2CvCVlhAgwae0VAgMBAAGjezB5MBIGA1UdEwEB/wQIMAYBAf8CAQAwDgYDVR0PAQH/BAQDAgEGMBMGA1UdJQQMMAoGCCsGAQUFBwMIMB0GA1UdDgQWBBTyFPCwxxdUPSNDhdzKc9BygD24qDAfBgNVHSMEGDAWgBRYwkCgPEd2K6jmbqiRlo6WyLfZ5DANBgkqhkiG9w0BAQsFAAOCAgEAkuw3XN5s62TarqERCTByrtxyCPU7vA96PdbG4S/2gzN96B9XQBhOTJmqa9SZ2RSL22vWTPjK0Fkz06GgOFwjiEQk+4fh9pMGJ7yh7UxfZ13/Nasx0ux7EdRAQzdPwoQbnLpkyA+woh1+mjb44dCCs1BDsuBVvYCUyFlSTkp03l3HRVibt/owqjvcR7zVLiy5OBhjLHlat91VrT1C34gDz/Fo/nMA1Fq33iQCl5HA52f+3KYK86VGEbNRHH8Sz42vX+MYyLhAxr3j+dZLcdBkXeVkwkvAXnfRPcdbnhXPe/2UlOcBSwhR2vtk9KsR8DWU8fa+fisO3bKaPVDdUMOWZI5tqwxznygGOwR30Jftb0VPsTMuX0brg7apYR+814Ku+IBvwuNpFTDmbXw6RJIrBpgtr9w0wb6lKkjnh8jeOAy1BAwzyuOEUHDxsh5L3o1P9pEZ3F+F+vHm0dfKp+60n/YheCmB8ONwWHcBEIakOkuXg0bo2sJqdsmpEsshHA9FvmWxoIYugLxZS02bQx9ttNeE4Pzw1chhkA1DjhNqncPxITyEXQb+O9bYIzlFC18dcQ36Mv2ggJVEtU8A5cN0/eJOh3KG9PBRAYceCL3UtSs1bAYQkqQ7a2qduv3AOwecdsIM1Rg5f0na45QcPlAIatdM4olhne/rz8XDQG5wejgwggXmMIIDzqADAgECAhQTUDtsiYzwJAMzLI/3T477fYLsGzANBgkqhkiG9w0BAQsFADB4MQswCQYDVQQGEwJVUzELMAkGA1UECAwCQ0ExFjAUBgNVBAcMDVNhbiBGcmFuY2lzY28xGTAXBgNVBAoMEE9wZW5BSSBPcENvLCBMTEMxDDAKBgNVBAsMA1RTQTEbMBkGA1UEAwwST3BlbkFJIFRTQSBSb290IENBMCAXDTI2MDQwODE3NDYyNVoYDzIxMjYwNDA5MTc0NjI1WjB4MQswCQYDVQQGEwJVUzELMAkGA1UECAwCQ0ExFjAUBgNVBAcMDVNhbiBGcmFuY2lzY28xGTAXBgNVBAoMEE9wZW5BSSBPcENvLCBMTEMxDDAKBgNVBAsMA1RTQTEbMBkGA1UEAwwST3BlbkFJIFRTQSBSb290IENBMIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEA9pLp0hS6rZ7hGqx1qFYb2Kqxs2qSX5Z59ZK3FC0k+L/AGq9gvsGazXma3Gya/jaawZgWpD/kLJ26paVQc7MKwvka88RJL3i90uy85z/0m9EaD/KgYaIsiSXKUQYRF/klEJzSxi/0icRBEg7+Jh7TbTXN7Ls1YECohVG+9u6QmPEq2J16EGtq2S7ZY/PlFFwpxYYiwYocaM3rOJ6pUJZbI0P7OP9CfDs6oVEvJclI3DH/UHLu8Hyhd80Yb4Fh8z+/bujSG7GmCDbkazL7/neoXptc3d0xkEyOZf8WgctBzigxU8oYQ85IBG591mQWsykQ5LQuOrdUWnJWV/Ooan0e7+ZhH91lyA5ICUmZMnTwCqLM3ZMAU6wjvYKFILHvvu0doXcA7jpGM6Ke7K/pBjFmtGZvsomToH6VDg8hzkH4XvCO6c25wNUzXXjQ0Ccxz1AwcnMdHtpqwsCTz63cD2SH9vsIToh29T7v/5IsmXcuC/YG3Ji2nQkDOv30GgnHj19a6X5IDQkrtR6KgxsE8lsVPCwQA6+Rop1Bt1Jo0Q0RGhm/sMDaT2C97imq7YeNcVwojI2IoyUUY0XYBfx7YY9sRlQ7GFzJsIKvg8ixIz8cnxpb7qLXVLUqU667hdum+pee7ISJcvN6QMkWtoVYR1vxJGE5okze2MaoIvKev1tMLMsCAwEAAaNmMGQwEgYDVR0TAQH/BAgwBgEB/wIBATAOBgNVHQ8BAf8EBAMCAQYwHQYDVR0OBBYEFFjCQKA8R3YrqOZuqJGWjpbIt9nkMB8GA1UdIwQYMBaAFFjCQKA8R3YrqOZuqJGWjpbIt9nkMA0GCSqGSIb3DQEBCwUAA4ICAQBY+IGRDJjybGH+yIYd1luEHabWvrimXQxdScu4oSnNLZ24WPnwhIk9PPhv1WoftCqiVZLwZ4GZXrVUDPuaRoDjAlEAU8AOA8GIV97vglV+4/R9GOsPJvyD/yGowaze2xuTqxnN0DB2GDqTnc6qZwMNORougHTfbfB+E3Yv6epQQYs4PWzl4D7uL9tkVDZeEb5iRbbRIbSAPIwY69qc1kqp1VRlW2vRWH7ASYfr60tfkgw7lNeahvahWc5H8Disw7B/A3Rk0cBSO6Gxeyhr4Q5pl/gCGAwoFzsn/66kEJ73Zcug9Oq5vZTOROKYsQpIaO5VqSGlYI/+ytZ90XuGIJwO86h40MbaQC7IgQULXGKoKsH7VucYeQeOEa/s5dvTcP5GzGOoZPE86a+lZLxev4UILR6wzuO506QR11K7cIuGnfsuvwr20lUrI0IrQ1zsoYJhP89x7bD3l+nky8I8/Kx3t7bcIMFM6YmyD7Ivf8N+kmScCLWE3syW/YmwS7VDfdLprYb9Gdktn70A7sC0R1YjfEgVkQ5OD2eJIHtiCMHJXlXx9gbGUSNXb++HvhQgRnm+lAKxyCAonZWKiCZVBWZS7xh/2Uu6qFoU6cIsrZ8Lw1xC86H1J2R5cYwKWp79uflFeQdwHuFqA7U3lo5Y/UW/VCWMgwM9D9kmMyPQWHemuDGCA2gwggNkAgEBMIGTMHsxCzAJBgNVBAYTAlVTMQswCQYDVQQIDAJDQTEWMBQGA1UEBwwNU2FuIEZyYW5jaXNjbzEZMBcGA1UECgwQT3BlbkFJIE9wQ28sIExMQzEMMAoGA1UECwwDVFNBMR4wHAYDVQQDDBVPcGVuQUkgVFNBIElzc3VpbmcgQ0ECFGHbRigyioyNSga3v/5g4wJsP3G3MA0GCWCGSAFlAwQCAQUAoIIBJTAaBgkqhkiG9w0BCQMxDQYLKoZIhvcNAQkQAQQwLwYJKoZIhvcNAQkEMSIEIFKqyvrW8fxQO9IKG2UQMgGuSO8TTyGjAsN5+LPyNiupMIHVBgsqhkiG9w0BCRACLzGBxTCBwjCBvzCBvAQgvU+5spBMgTZniG7vQeFt/gTZIgedv1uSStCixGBGInowgZcwf6R9MHsxCzAJBgNVBAYTAlVTMQswCQYDVQQIDAJDQTEWMBQGA1UEBwwNU2FuIEZyYW5jaXNjbzEZMBcGA1UECgwQT3BlbkFJIE9wQ28sIExMQzEMMAoGA1UECwwDVFNBMR4wHAYDVQQDDBVPcGVuQUkgVFNBIElzc3VpbmcgQ0ECFGHbRigyioyNSga3v/5g4wJsP3G3MA0GCSqGSIb3DQEBCwUABIIBgFDCu4pO087v+/JyS8JVKZfqYK+/khIbUC99lL5Gl9dPLmzNnesgPoaOwH3u42mb57R23A3zSK3t+V2I0fP3uO5lRR6KTTlm4XbD7Hbr+nATO9rkFJOETuzQ8A+iMkAm0o/U28SjzPGCEH3lwjKzlImIpyC10R/7aT3wrqVG0KpY22G2reoV0G29GiQNw/sB49hl5yAwLamiD8hiQRe/cFl4AQirvlBrJg5GA1iqotDenwQsRIPMlHh3JoO3r1BytZnQWVB9XB8Yw5Zn7wvNJ6l93x+erXWpDbc0NKM6bnpGIivS7wobmeXX8FB0kTSjc+/rGmt8MKeh+jDkUnVJ6+qDGj0cjpFdChUn7/h0AfjvkFxSiS6XTPJgtooYT5MJmmOyTKaDp3kSoefodMboPmrq2PRjjdh8U6PyI7ONpwuZFmxKN4EV2WOy9ndVX7EZZgYI6rdZpJ7AkdZl7ucB+RSHejyyWTJ0eNm6DSlF7okQSvM9S7ia3s7jrO3LVMQppGVyVmFsc6Fob2NzcFZhbHOBWQfXMIIH0woBAKCCB8wwggfIBgkrBgEFBQcwAQEEgge5MIIHtTCB6aIWBBRj8xGiXg7NzcUQUrk/89M1Zm3IfhgPMjAyNjA4MjAwMjA5NTlaMIGYMIGVMEkwCQYFKw4DAhoFAAQU34I3U15T2DOx4AQ9JDXxdebhChkEFDk9EEfcl4+viHtNcxgdzeXupKUqAhALpfzpDnCM8gWAMe5EHGRzgAAYDzIwMjYwODIwMDIwOTU5WqARGA8yMDI2MDgyNzAyMDk1OFqhIjAgMB4GCSsGAQUFBzABBgQRGA8yMDE2MDgyMjAyMDk1OVqhIzAhMB8GCSsGAQUFBzABAgQSBBBBjoaqgwD+EAgKo3MnWClnMA0GCSqGSIb3DQEBCwUAA4IBgQA6cKJ+WgDdCDR/t9afJEnP1V+RhOmARi+tBWsjIc8x9WCzJRernK7eImvfhrz1OhSuDEz09hA9dUR/LWohLdqCAQgvOUnl5vylFmOr6b8bNpMNUcD3oQwr9q1ftfe9Cx5emOGGdaVRPU+HS32ULr8/+jPpUEquNGmdvBbNlcBrmswG60fS6uHM3CSoRtAzrHLgJI6Ftx0RnionkIscxJrjtef2P9rmY3IlJuVOHAFstkXmqolJkB6WdfWqm3JnpNegRJNPz50sgkDyEZByuJgNBCTFhtjNVhELO5l6INij6GFRoIlH57xyVUxWa+2o9MObS0emQUS5LrCj1ZFGaaJj1MBXRfjbl1OKjzYPVWSNj+gb1ckh4coLwTekMb0bcuJsXeOIT69nb7j1AzqPypRZfg1iZv6Lgd/34uBKAhGFBwZjeJfUrxKT9i2zcnDvYDDjw0jOXG4ADpyM/JbbVzfoQRXhpAWIVnN7nX2K/ggcl+GQIYe2uiwxruOtJp1/+AWgggUxMIIFLTCCBSkwggMRoAMCAQICEC8JDpvoxEgaqEVN0WcrYR4wDQYJKoZIhvcNAQELBQAwSjEhMB8GA1UEAwwYU1NMLmNvbSBDMlBBIElDQSBSMSAyMDI1MRgwFgYDVQQKDA9TU0wgQ29ycG9yYXRpb24xCzAJBgNVBAYTAlVTMB4XDTI2MDEwMjIxMjUwNVoXDTI3MDEwMjIxMjUwNFowTTELMAkGA1UEBhMCVVMxETAPBgNVBAoMCFNTTCBDb3JwMSswKQYDVQQDDCJTU0wuY29tIEMyUEEgSUNBIFIxIE9DU1AgUmVzcG9uZGVyMIIBojANBgkqhkiG9w0BAQEFAAOCAY8AMIIBigKCAYEAxef4mcn55S3PaHfpaZFQ3KmRElxPwKvRmSnjltn5WfcbZoCKHpaeKqumhvlka1a4TpDE6gwsRFuVC3BciUu8nOeVQfhWAA3TICZUbj0SxrOftnRa+NtrnlBokJ0c3FqQmA6pi0Pegp2eGc96YOsIi6+bjykfHbgOhglHrQJVW14Kj+rMivVtJA0ZOOh6+8HC0O0DK/XnkXDnernUGoaflxM0Emhz4J8RMmCvxqp0RvC1MGby63rwqoBEeEOfyqti8dK3TDFSpiRE/SPWMtJ5wdqsLGbs6IiSQ4QRL20slZOBPPGJrAEni9RJ02tixmgqKKbIHBlzpR1sC4LpbNSwCsod86clbFnCuLKfFHJuNOIVGxsNo3gDOzMAcSXKraUBuclbtxhDTqLTW4L8ZF50O3vEOu9Tq5b77YNxnHY8n8JuA23sWWTvHwM5qwz6EIyfQP+5PLEIzE8D300lNK/MXblChWs2W5rhMHPX8vc/4J3Mh9G5ks+D1MRcZvserQXxAgMBAAGjgYcwgYQwDAYDVR0TAQH/BAIwADAfBgNVHSMEGDAWgBQ5PRBH3JePr4h7TXMYHc3l7qSlKjAPBgkrBgEFBQcwAQUEAgUAMBMGA1UdJQQMMAoGCCsGAQUFBwMJMB0GA1UdDgQWBBRj8xGiXg7NzcUQUrk/89M1Zm3IfjAOBgNVHQ8BAf8EBAMCB4AwDQYJKoZIhvcNAQELBQADggIBAHcFB+y6Jzj4zPVsCxkVPijUswrPd/WGaHx1g+VJxGj6w2a90nB3/EwmiPcwS1QfZM6RfACvt1q15KqZn4c26WCcsCKOveYU/8E1G9hkX6zRGz7hQImoGMyJ56AyZrUuF7/xOU0a/WxzvvYANnDj1V952dZywTJM9IWpHUK4RoKAM8VoLLsS5fwynolfn9D+n4trXARedJ9QG/EFKRkVnFDKAsRW+PgJpXh3EbPkkYrlyiq24bLFsSG9ooWGOKOsuDoCOQAPXtYxFLb+ujqqoLrwU07y8ypP2GSFghR5WtxPf4vUU8I9esC2pr2EKusYNOySMvsAtWnjXxo6sZNRyVhSmJXQNh6vmt1kaoYLXmNZtIJOp4r8rfdDOUNxUUnbx8dCkcpgRa9DW2n8ShE8MfZ8Ow+AnRXAW17wqBUgJQX17UX8Rhz+e7n2TSxBJKRgr6Pz6+O49XGDyEm9kBc/6NiRjjRYNobf1c62JcWTWfdzwTMBFPswb4y5Bek90ntoPjb2+ex4Kvux+vBCdDHumtgbSG4Ysfie0CvJxI/7PHrPx+Qf0qdqHcMz09bByrXoIpNMrl80ju9pe9t8zGX1MbRViVWCTshuycPbT5G7XtdFU1QefWhM91wC2indtXYsNg96ixFHjO1j4KOrNNkaxbBFubqc5qVyBN22uCHekMdnY3BhZFki9wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA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Keep the plain white background pure white and preserve crisp, clean edges (no extra outlines or shadows). Maintain canvas size and overall composition. Output a high-quality PNG with no additional elements.\",\"size\":\"1024x1024\"},\"output_index\":1,\"sequence_number\":8}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"type\":\"message\",\"status\":\"in_progress\",\"content\":[],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":9}\n\nevent: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":10}\n\nevent: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"logprobs\":[],\"output_index\":2,\"sequence_number\":11,\"text\":\"\"}\n\nevent: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"output_index\":2,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"},\"sequence_number\":12}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"},\"output_index\":2,\"sequence_number\":13}\n\nevent: response.completed\ndata: 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2o2rWZzzQPVA8kCDlOgV-ahkW1YGnQjl1NnPRkyYF_CL-sAa5goWj66jJbq0ByYj-JaDYLhoov82WfzAE_hbtzm1oA8ueputpn03U2LMKnsLstV5yz8sTAdG8DGJmhP4rLrqjTCnqpmeYa9yrGxWXOJJeODinosA5-PcNpFzF02dysLnAtJxLl4qHZtToPnLhdVimspOruT0zg-tmiRKVqVjEL2z3zH-mDPZooINABIzrCbDW8xZKwAMtJy-VEFxr6nlwLnaioyI7QPl5pNjk4idSqKq6J3cW4xfwCTIiZieBMt89kiiAYKdU6OmmZri_XO6y-aeJU4gdX9XzfU5VtQBq79eaJeXgJLPxrLtKKiKjE0QDcRq7l-pwRFEj7iWQHcsc_9YzuUtlTtWV30gKDxCjUrFNqJjze0cBXgnKOpPA1aZ5nyQnXGXeLjYKeVwm3cGEEIuRBzD-Y6GvUWLFjFViMI3WJ61SChW5SIkniCBF1IN0Pa_NFrXOlKOMOpEmdOcgR_sJmZZhwJKLoyapayAYm70wBCCa9-XxW0oDCoQia2Mw5g2oSrLzucGZzSgPEoXiUlSm4yrH4-sgDWXczClXRj_0HnGetDWM3hH6CJZIqi-xdtzgABRffpdp0pGd6LCNEEL2kXJ7k6ZnwN699_EfWPQMhDUb8qEz9jgaG3WxHJwg7JQiz0uRQu6XDclmP3PIHYpHL_KZP0v5tqhK87-GYz3uvYJZbMZ_rj4nwGLO_CGHqWUQQwH7XSU0D7lECWKu2J2cjY1FgR-qvYCaDwEv22q4F5JRuFJyJoVOOF2sXAzle_-lHZ1yDs3WdOW7Tc99q2NKUcLgKQOpUlTYzXFF0cvhSVnWeEPkxupqR9GUoxEqzBDtx5WsnoZmhvAThT1wDlPVb6YLYcn7lcwQiq__BZ7bbbcGgONAijRFchvfPcbxhHKbtmHWwxhQxz2_VUiBmaNmVYg6IvXivvstuCN8XUA8Qut9vrogUY0FpiEODquVf_BiRn9PbSY_ApcQnns_TFmOUP9YJovEmRTxqMGIxuY_jS-tcqsX4eBVc7BssDTJCgv2R1Cm4xxrcCuMjBl7OdSAUPUismNKn21irgTFUEVCo0_UQkelOs-vqV0DU9E8VTT2nkZ5mJqt5suCTmPkKK7bp2FCs4xBjLneXJGCkAREz9KibJWdgbp4b1eR5gghhykGefZXJ06SmvkG69O509ZFoSCAxvUJoopj0SVfRSlnbUs53D2aVu5wG9x9APkNoikrIrZ026E57BFLyg9qQUtRyMe4hvCgpsNMwAXmWix2UILXpybGGRhiE8HML1FcbPScOgQkOgRyWs5KQBYplfqs7fG9DyqhUmEOTSmxQCmqdphJMpFFhr9gRoMc5KX3z2ing4RzAuLCQhSzNQbJOckn0VjwF3_SrbmFKDbLH3H78XNDufh3GxOoCtLmYWUR_PyISa8O1wqNJ3Hf_tJufv6QfrfzFF15YGrTcqBsjX4gDa82wGaiKcXKed1mqrtGcnH7qL7MRJ0tWvNpy0lNHgrc9lcCy25t0NW8uA0V1uXNL1Lqu2goz6C3KUJYB5zxvHvKAZkAcOOXlRhklzhfzmlBWyvbJoHJ8lIjHVw-klkSkK_Jfid0kxjZWZDcQH9PvRvrpbyp8JfN0OMpwLI-Sp6sSosoPScVHhGV0qNt_GnYqqvaYR09xX68r6xzroafCLSXaGV4AYXUAi2_IQ-zK7amKnJCJapPJv4bgG6PEERtsWGykjS4LSrIXV-Bf6fjWTB92xuoJkcr_OFD6uUA4__Wsk3pVQb-scFVCAoQP-qKnAVDd2IBVMqvgSZd3YoOOw5_-HZDwhWOXIf0jvMPhOVT04WZRYuuUMrtSiZeXtkIbFoO_yke02-Xet_iwEYj3j5WACm9Y-5Hj6_LZrgEkF2qXf-6RlSH_ezWpa9BbzUgwh1fxscSR-kHaM78W-lAd8sk-km4s_AY8vnUIhF\",\"summary\":[]},{\"id\":\"ig_081ac687f40ebf78016a869edecd3c8196a6ad858f9037205e\",\"type\":\"image_generation_call\",\"status\":\"generating\",\"action\":\"edit\",\"background\":\"opaque\",\"output_format\":\"jpeg\",\"quality\":\"low\",\"result\":\"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the supplied image: Replace the solid black filled triangle with a flat, solid blue triangle (hex color #0000FF) of the same shape, size, and centered position. Keep the plain white background pure white and preserve crisp, clean edges (no extra outlines or shadows). Maintain canvas size and overall composition. Output a high-quality PNG with no additional elements.\",\"size\":\"1024x1024\"},{\"id\":\"msg_081ac687f40ebf78016a869eede6788196b64ccf6be54e8aaa\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"}],\"parallel_tool_calls\":true,\"presence_penalty\":0.0,\"previous_response_id\":null,\"prompt_cache_key\":null,\"prompt_cache_retention\":\"in_memory\",\"reasoning\":{\"context\":\"current_turn\",\"effort\":\"medium\",\"mode\":\"standard\",\"summary\":\"detailed\"},\"safety_identifier\":null,\"service_tier\":\"default\",\"store\":false,\"temperature\":1.0,\"text\":{\"format\":{\"type\":\"text\"},\"verbosity\":\"medium\"},\"tool_choice\":{\"type\":\"image_generation\"},\"tool_usage\":{\"image_gen\":{\"input_tokens\":1104,\"input_tokens_details\":{\"image_tokens\":1024,\"text_tokens\":80},\"output_tokens\":196,\"output_tokens_details\":{\"image_tokens\":196,\"text_tokens\":0},\"total_tokens\":1300},\"web_search\":{\"num_requests\":0}},\"tools\":[{\"type\":\"image_generation\",\"background\":\"auto\",\"model\":\"gpt-image-2\",\"moderation\":\"auto\",\"n\":1,\"output_compression\":10,\"output_format\":\"jpeg\",\"quality\":\"low\",\"size\":\"1024x1024\"}],\"top_logprobs\":0,\"top_p\":1.0,\"truncation\":\"disabled\",\"usage\":{\"input_tokens\":3709,\"input_tokens_details\":{\"cache_write_tokens\":0,\"cached_tokens\":0},\"output_tokens\":868,\"output_tokens_details\":{\"reasoning_tokens\":768},\"total_tokens\":4577},\"user\":null,\"metadata\":{}},\"sequence_number\":14}\n\n" + "body": "event: response.created\ndata: {\"type\":\"response.created\",\"response\":{\"id\":\"resp_00b95cb57dc3560b016a8ddbc17b1087d1bb2b17eb25788cd5\",\"object\":\"response\",\"created_at\":1787681729,\"status\":\"in_progress\",\"background\":false,\"completed_at\":null,\"error\":null,\"frequency_penalty\":0.0,\"incomplete_details\":null,\"instructions\":null,\"max_output_tokens\":null,\"max_tool_calls\":null,\"model\":\"gpt-5-mini-2025-08-07\",\"moderation\":null,\"output\":[],\"parallel_tool_calls\":true,\"presence_penalty\":0.0,\"previous_response_id\":null,\"prompt_cache_key\":null,\"prompt_cache_retention\":\"in_memory\",\"reasoning\":{\"context\":\"current_turn\",\"effort\":\"medium\",\"mode\":\"standard\",\"summary\":\"detailed\"},\"safety_identifier\":null,\"service_tier\":\"auto\",\"store\":false,\"temperature\":1.0,\"text\":{\"format\":{\"type\":\"text\"},\"verbosity\":\"medium\"},\"tool_choice\":{\"type\":\"image_generation\"},\"tool_usage\":{\"image_gen\":{\"input_tokens\":0,\"input_tokens_details\":{\"image_tokens\":0,\"text_tokens\":0},\"output_tokens\":0,\"output_tokens_details\":{\"image_tokens\":0,\"text_tokens\":0},\"total_tokens\":0},\"web_search\":{\"num_requests\":0}},\"tools\":[{\"type\":\"image_generation\",\"background\":\"auto\",\"model\":\"gpt-image-2\",\"moderation\":\"auto\",\"n\":1,\"output_compression\":10,\"output_format\":\"jpeg\",\"quality\":\"low\",\"size\":\"1024x1024\"}],\"top_logprobs\":0,\"top_p\":1.0,\"truncation\":\"disabled\",\"usage\":null,\"user\":null,\"metadata\":{}},\"sequence_number\":0}\n\nevent: response.in_progress\ndata: 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response.output_item.added\ndata: 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response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"item\":{\"id\":\"rs_00b95cb57dc3560b016a8ddbc220d087d1b13c98bfdc9f8ae9\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqjdvLD7s5HfqiXH3569uXTSwzr8iXsxVxWfbpKtnMhPEeCErrIdbBgq6IeNs4CRu5g103RBV7yabxEsrJ2FkhqQY4_veVFZo9Nmgpwudvqk0SCdsoCu09sLuLY4u7O5kv5-ww8ejhmj8Rp84685pbiq_SwIfy2ONdKtBF72CvCnRDxXeiAjJ537jrFEkE_5cW24v-JYaclpbAoNS-7nhQCAgQJfQ4bNDfkzScn1lPfLFAfZD9jwL9mSCh5i5YaJu3LEDIk7pncitaKp3sRv81EiiAx1CwPHYxPzL3LUcZ99uJc7Tr-ESMAbUN71rgy5G_wOzu2aD2T8Bjvt2M7ehKQoFWdTi3cjHJnF7PApEAz7gP3dzKRqiSkSyi-h9y_8wePJrMCKn31bfEuXhqhuNte7V240X3rxPGGDlXhqj-x0WZ4blZwj63Zd81qkwjO5HR67_98ttMKCsd-1yMWVsC7PWTLOPzoS37hSoZ_ivViiJaXv_N0SIcv0BYmAvhlqB3DJezXU4M6gVDsQ4jrRBoJXlXqBrzYMeW8eqQfx3N6oGeEkSJmrBIBNYZkEFTnF-yWqdQp299VZcUpXC-jnsQEL5nWJtF6Lr4hhVhmSzWDnJjUGlj_h5zn7M5EIblCD58GBkTJf9bnvPcd7BLfnsxoIVDBCg-2ZlXFnQNusrJqMY6PVDpJtU9lpIb9_J_hGpTKo8W2tznXK9j_o-HZocNKtsEw2kvGHXyUg_9G1An7oyokfdQ-xPWsiPDSMrI2C56tmxVU3__FCN_ljjJsLcoFaVnAZbb8P9WcRJQopExMKwXeFIOQG0TQ6I2ozjLYK1AQk_Z2uMjkAAiKCgQjzi0K7U8jL4WBshlHZPXSo2d8A-Yu84_JWSne4MJXMVGZBMlRsdxraYEVQqnEHAFMxzq5Q9-zfy7fLwjThhFe-XrW5bpaGxxX-8xGmdElli6BR42s5JVGbE03yUauEgeHHNqdc3Qgq7JNb9Qzzg_4girQu-0K9sI2WqvalvjA9DyQE_bQJ4y0IOAB2B9YjOXeSZQNyF8XCZ7paaizJRIrpqJcsVyqzMfgwzdnMvX5lRYRlRGHzT4VRYDIG1aOYrDJZR4orohaAqPmVpsQBbjX6Rv557k0Z6gKAUsTV9erXB5npjQnjb--b5nhef-B1vdLuAtPiWJYAhx1ZiH93XOo0trHq0qSTunONcyDEWSOPApDrcoCEvywOUzxIfwEyGnihG6w7e01iCzLkk2JJtYre4qqSDnP4GNW7v0eIyFOV0dkqH0ZLAD_5cK8t1YZ4UnY9gXOkaqn52d8ZDR0SBD0akS9To3kRjoc7Izsfrj1euvAQ5f8nw28eo8pcNTMcUfOWpPTaEZHSIdSSgVZvpcVdxiolX1WKMwbK3mWcQhxllq4Umabp6WOBIGQtB7OM7G5nAx0lZdufaVAXF63qU8ZVlucvsjid_YCKQfjKQBQG9HjSXZHshL83RhVbIU9OYhEeWSxT2vZDEthOBOfnF_aMMcCxAzGAhYfO8qvJ96Cx8mdqC-LHNz2WJBIZ-a97yK70BipALXQtKehEwEiGGjhJgf9vu-rDEFuiZibwR4kaT4Gow2ElADp3jOchfEo1lgHt6kdFMbx61Dz3hFdw1yQ9sZrSYkVy9zMP4PIYBlZ8Mi65cy7ug_IjOUD9K0j0QqHXW1TabkGYAUxFInxx0J9QNldwr_3aYWHwGXXr8JsXk6j0-DmJekK0oNY26p0PZhTRnlB4dTjbNPKCkIOQwhx_JaGsnQMrmaFB-J8nMSMAk-cxXNoiqg4OQUAWDfuXeAVlWuMmJq-uEQQ_Y2mYqcwbfUdNO67lp0o4OYBjfISBszuOgkGSz-Y8n8cPEhyJyrKOebx5F4W7KJWCIaOvEoH2aNrM9Rxllchhmpw5CQtHBxuyXdEVBM_wymUJA8dGWMjJfmZQ76IRJ9RFJIfAOR3FqNkh3rQOcL9bKzWsu53zZJmZs6HmVUqOjExLAn24HqI1ZRxhL333U4s1gqLHQumnCW78yUJNpqOWusOuqFk4K-ejhsaf6QnbWfvkzVMMCja787fCEBEIQGsy93NlSRgXKTQb1BHySzFN16nipr8JOd0ILb-gW7XYvwdmmFWUJ2vpNKWk6J3kg1wJP79Qq5_Ob_xLM2HF1shreXR8cxkg8l3c-WjBVti8bXfOZx5EwjteO4Lnqnk3IUEenVrxYR5Lgfki6CPLQAQmPCotetZAWdPKHDAqysGI-xbvINPrJokYD2E5rjT050qJuC8jiAJeDTG0Is712r1vrBFEMowwjElMcprcrr4pmsDIkSHo-X2cgYWC9_F4i79y71WUs8AK6P9X0AsBf3UOeRREQ2ADkQqYd4jh3X9MvqzvLCXbvNTC5uFdE0oG2gZ4jNBKQTQgjYYcyE6pY3q8V_fPzPRV6okzJ-JLrPBDUjdUYNheMv7mEgCdRZUe4Mn1KhFWrikava7Gf58nMp6UgMn_i5NSf6NMnALzppyn_fL-89EJKFeUh5sIMXy-IrBAyVq4qVtK3LaRxM8zgdfwOfc9ID1UiVbVbw3KlR5oqcwsO3tiQ_PsDYa7rbwQuy1e7t_WyspmHiqCKbvuKEihLSzmL1d3tx8XNCiK-MxV_VhgmZ-c9H3vKZPpV_fLL3fKmKFYYppAAHH-_GFLbMeePrwPi0xwGBJEWvdgWfqNOxN0cJEydOHJrC8LK6GE7nYiR2Ts96XvNx5ANgRtgfkMIH1WPhJAgtq42xyAgJUWZABmNRomnkekX7msW8w8SaNOX2MwRlE5Rm5lDUYJS8PXguUtLDJxgBmOCqg5N4unvINBK5TcdaKKv3CK2IVyufuU3ER4xjNzXNwXgdrkFRgprlLfEUs9z_G9NQB-JYh2U3EbD4m6i4xQqm14glXlUqq_34Ogtubyg9FPUJBZvhlHBTnCIxdNryscaok1974Q2duavpvlfQ30molnqtutmCZwIxOsqcqkwBHzcJRxeitDplT3XHK5lT4PpnWEqKJ0KJP_z7Xw9X9ldy6obgz4dK505WPE3K4b9R292hZXJ-gK04TvecRuJdiSMJH9duWrWLlZFOZb1ncimYP2C5I_DibjwgZC3YIe2FLhUf9YTddlZKsGgDKB69jNcrv82B86-3_S3f8X8xzw0ZwPCjUqQ1YE6XgJJ363WkDTNKpEftDSH9SnBnGCEvnSpFaMOxqkeqUQhaSWXEShRTJct8X24MvWQeYF274FFLor-2_4zu3YOIZMkTwxbqdkSsYWgDIE8-VWqVzIRFVXBeENDBflvsvdenvDlvVF2luFuKsoonk3ZoyxMryRzQhVZh_MYFuFP8l7TJKFUHTxA3AJqn7Jx6znj3U0L870xZdfQFvUm4xEd2V-3UaRwfLUF142_yssuJQUSr145w5CzbS6GYq4427bLvgrBmp0wowfy1jwmGYeQVmvciuViyeL8HkWCGBkfQY_HfDr_6BSlK1OWA-DmCQh1kP47ThqHv9uCjUYvXf7tuAzNzY4-p6kfX7lSFQLLHMVGIn-T8gHDv321gJnINeFhNooTW-79gkurTwp-761zDaHwolZzA3giCpAEZhK6mfC2zgHr2JBHYM9g1ucPjaolW4ypmb2eQlLPBshNVIZB0klRXrFMva5JSqaPpyNQy89L48wTUqTJ95u8LWxSSq-F25wwyERq52c8ADxkc8r1aIzcnzVeMP-RUyztJTbmZEQHwqZnMH0zDu9axlago3OMRSeHnUlJMvrnob5gA8GwminHvPjEsfALy-pBmjAMqp4_68d2AdMvkBWgzrVglIAl74GmZVzPQ1VZBD2hkEjR8JT9iK-b2ztzD6WeuxpVbDsjLgIiaxPGRiI7CeD-lfezGkaqMSHesjwpXJPVPUKPEqM7s1fso2PGpXuCsoHVq5BeeGTV7Ihdsvr_eYFl661UqMmZpEjz5mD2I7BbuL-ebSRAirEMICvzPIuOk0UUrZrdOOMbyFR-3nalvpwZECw62kBjThOXbtImL3dMk1ztxerbAhDi1wwikrKu8rX7rRSr1nFQ2WFcjdEkN2_k_UcBNZ6bq0XKLipzGKyrj4isw5xN-xa5_1B7KSGXFua2GwkUBY_a-vvZUEwxIm29zCZ4c9aCHkZKCXSKrNDQnQhYrqBHUSSJjX2dBeKJTI3ma8qxXcmF9MUgxCOmKfybct6tnV2FVpo-yBzrQN2EvpEVL4YN19aHg6mdJ1I6dAkIGhQvybpJeV45KsRL6b_q1aHeQ8p6QK__3IcWe_AH4R96ta4ETvXGItPPNV4fX8OGCxYaRvibh7wYkPTxZbGUyeU2A_lch7EJWPQJO8L7lOnRXNxhHy1Z7lQACgHVXbkKVQArpzS9QaGowYBZFc2jv7ijAu-ig78kIloj7UKR5V0k75U7CUfIGrTPBahIaq3lC5JseztQ9Gpp3a4-9Yw5elhm3uook8540EMCATHcIqfPHgGuq0FcuZ86KfgnlGV-bcphvtkWrJVpwDWIjbrC2KvKitEKnrJJ3WtiRWiRzboHoGUbbQyWL88o_eQlU4ODm59GCNg3qD7Fv6rG4CQ4BfmjFKj2SDm-j48SbcLBosWw_XeK58Ea4E2iY4W1LxFSxRykZJGhHlHRdFYA6kX1sfmlgqaDZttbaH0uUap7JkF9PFZGoJAF4wxZTkGiAaWIgkxmQz7exy61XoeUfq84XwZC297TlfkFioRv6bKMVmj6vGzCVaKfdFEJCvrIFQpgYrSwS3IKS0hwSizH93sy8NYT4AzpCfqZrzj1_b3A7cXEzOQA2otDNJSZr3b7bIMhG_L5epeQl7ohFWKxuRK_3hBLmw3iMS7T30MI2vXpoxaYB3mjPmYVrVKlxVfOUanHdJgP0Z65ZpfcJGiyfDGPiB99-DQ21WXUMamYP4Yc-pj38smi8FQgzdMQDM-d2Dtcde8JjYuND-pLxSbH9HXH7NsJbTFnGGGTUAKxJ6FTB87t6Ewf4ZA5AFTC_Pl4H0MP8krz3j0Mx5QG79RtIzQNJiZAiNF6jNCkjQJryolWNH5z_OxpzpzmKMTr6gwhiSd1SKM9ZW-YzmCova7dx4g59vfqJLtwKXsMaJIp3a2LRpytPaTb7DZEnwvXzbPm0dKMOunr3dLjecwxDod5zKQsX4Y81dSJDm5T9p24Q00528CN3XknC9Rrp7tjqItoD2iQviAbchiygorgyRXnmSsKcuUD-h0IdFXEUYx3VXhPD4N006IWg4byuBYGZnuZPP9IoPmMYfPfqqSeVwKmLIEZy3XFe8U2zAW39657LjdBkiua1wUZXKJ7KRTkA_iBV_FpZm-CuRQSbg7Su4dDj6BY1XHPdqd9g8T_i-YcbRlXkMWuiO1bpmBgFCZ3Ma0AoTf6156T_MN2ahjsZaXGWUC8jADbA37VnjHaXMQRmU1DQZeRlISGDRz0NNRLNwbR70aPh7E0-9mLxFNReKkIo3pzetCKgx0tp8to9PbWS4RaPljZrYXRINEetxfJ7bPj6xskcLwGEe_gaoNh1bsTdHv5z9IhvEj4ZYQCRc8hxJ_Pue8ZxxlB5BwnIGLsyIjimewpC6gaHwTlPTY6Cr7cq0rsVzEzikwxgcoSi8x4wfOf-oYSDDKICYGtI2lTsYSOhQBNnGJG2M4sJ0_dCkiq0TZvtdEPohEyo8o479CRJZFsHtiiNqppEtJ58qNTrRuWiWddq_DYFU_x0Jdf4Abw0jc-WQB-RJ0gZn944R4k88tx4eoGrdV3JOFDKuhBNPTmZVvr_KzgbMcaiEmcQriOfwCU9sQxHfgscUVmCx5uGCyFnI7jT3PGAwCK3zcMg1X1qDL2DS0Scgc9KW9QtYmWvO-9V7CfZuMJBXE86ZYFVxn3sK35gj3MpanBdLSuKD3QjF7FWLTo5OZzt4-tAZpnmkjc6GwvubJxlcjMLT9GESXVhbTLMdCcpiyQS6oFrUIpg2hI7L2OTA_pO3jRimFrzaUxFTb-fycwdE0h_EMT9JJJ7mEryqtmA23zg4cg8eBGj6LyKWxNYudDK08MwnFzJlJcDuts4m63mivnzVNFS-kM1UGMcPAbtA5OCdv3Bwwb-vJ9BtQf9jydqcS-Fszi7iRDQi5H459tetT7z-6DgnSLAH-xZEDfhXfEtd0XH5B18y8oGsrWwek-hd7UAQmjpVAPM73I7lAAP-VTpWgmqyyQyqK8mRCZzR2oArhY1w61nE14Ap4rWgc_9uDqREb1K9SvdzVfoMn5ywJrya82OQGjnX1U9XReT152N3KfmVbMnI2Q8Lxe2xxxXWQjWX-gu-cqM7ZQEnfkGzRKOeoWgZ0rL6cMrwT_q6w6ps4nye-iMPLxjBhkFOkSbKU9S3By9YwH4DJfWYrOwfbv3T4gwDHqX1BWoMLOSk95QbwEmLpc949atH6Mb-zN02J3c-gB9ie5sOo889cm8xl2MuK9DSqW5COyE3MDcqdJ5hvK2yktM2q033KzcsRDPxO7m9FhIUAC1JdZeUcUWysHjwAVVRjY9S3lo6DI7XSEzLPFASJaW4rIeCQOJvL7Zof_8BpWzgDcT4jXIk5nCB4UlQbDlK568JqVNgRBR6FW1KgpuxveQTLDU5GE9-MlsyGloPYhuIIgByVLviKtP28BpdIRj-SXI0eKcWk3MzbOBGbed6Kt7Buqm2YgYdGCWD1ZkD1HDIRtzTD3pim5JXBCpdeNeceu8kZpbGvpvU3HZADwbwxsVUlli6EcmDpBVf-ZAEKtBd7i2_CwFyNp81a12xGlZT7CxKez5HbaVDt1Y4XlMqSLedXiKqu4fQlEL4Jg9jApnzX0PcRmyDk8F8oSS_EDPQ2VCIXYVHczKaHHFqMiSOk7ydWBIG8R1oNmkSSjElDSAkr0Gj2f67eKl-BH9ybcSMqkTfHr0SFl9UjpjTl6WOKil2QZ166KEf86n2CTsdDg8TltytN4EBTa8riw6Hm4q_P-Hpn560G1WIYG0MAhGc3qZ0FYAy_aMCsPfU1rzWEMGFg==\",\"summary\":[]},\"output_index\":0,\"sequence_number\":3}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"item\":{\"id\":\"ig_00b95cb57dc3560b016a8ddbcb70ec87d1963791ca55a2a29a\",\"type\":\"image_generation_call\",\"status\":\"in_progress\"},\"output_index\":1,\"sequence_number\":4}\n\nevent: response.image_generation_call.in_progress\ndata: {\"type\":\"response.image_generation_call.in_progress\",\"item_id\":\"ig_00b95cb57dc3560b016a8ddbcb70ec87d1963791ca55a2a29a\",\"output_index\":1,\"sequence_number\":5}\n\nevent: response.image_generation_call.generating\ndata: {\"type\":\"response.image_generation_call.generating\",\"item_id\":\"ig_00b95cb57dc3560b016a8ddbcb70ec87d1963791ca55a2a29a\",\"output_index\":1,\"sequence_number\":6}\n\nevent: response.image_generation_call.partial_image\ndata: 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response.output_item.done\ndata: 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the uploaded image: change the solid black triangle to a flat, uniformly filled blue triangle (hex #0000FF / RGB 0,0,255). Keep the triangle's exact shape, size, and centered position unchanged. Preserve the plain white background and the original image resolution. Remove any visible black outline or gradient so the triangle is a clean, solid blue with sharp edges and no shadows or highlights.\",\"size\":\"1024x1024\"},{\"id\":\"msg_00b95cb57dc3560b016a8ddbd926d087d187f5dee2f7d5ae5c\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"\"}],\"role\":\"assistant\"}],\"parallel_tool_calls\":true,\"presence_penalty\":0.0,\"previous_response_id\":null,\"prompt_cache_key\":null,\"prompt_cache_retention\":\"in_memory\",\"reasoning\":{\"context\":\"current_turn\",\"effort\":\"medium\",\"mode\":\"standard\",\"summary\":\"detailed\"},\"safety_identifier\":null,\"service_tier\":\"default\",\"store\":false,\"temperature\":1.0,\"text\":{\"format\":{\"type\":\"text\"},\"verbosity\":\"medium\"},\"tool_choice\":{\"type\":\"image_generation\"},\"tool_usage\":{\"image_gen\":{\"input_tokens\":1113,\"input_tokens_details\":{\"image_tokens\":1024,\"text_tokens\":89},\"output_tokens\":196,\"output_tokens_details\":{\"image_tokens\":196,\"text_tokens\":0},\"total_tokens\":1309},\"web_search\":{\"num_requests\":0}},\"tools\":[{\"type\":\"image_generation\",\"background\":\"auto\",\"model\":\"gpt-image-2\",\"moderation\":\"auto\",\"n\":1,\"output_compression\":10,\"output_format\":\"jpeg\",\"quality\":\"low\",\"size\":\"1024x1024\"}],\"top_logprobs\":0,\"top_p\":1.0,\"truncation\":\"disabled\",\"usage\":{\"input_tokens\":3800,\"input_tokens_details\":{\"cache_write_tokens\":0,\"cached_tokens\":0},\"output_tokens\":959,\"output_tokens_details\":{\"reasoning_tokens\":832},\"total_tokens\":4759},\"user\":null,\"metadata\":{}},\"sequence_number\":14}\n\n" } } ] diff --git a/packages/ai/test/provider/openai-compatible-responses.test.ts b/packages/ai/test/provider/openai-compatible-responses.test.ts index 066a01894be..7597d94984d 100644 --- a/packages/ai/test/provider/openai-compatible-responses.test.ts +++ b/packages/ai/test/provider/openai-compatible-responses.test.ts @@ -225,6 +225,44 @@ describe("Open Responses-compatible route", () => { }), ) + it.effect("replays only shared hosted tool items", () => + Effect.gen(function* () { + const model = configure({ + apiKey: "test-key", + baseURL: "https://responses.example.test/v1", + provider: "example", + }).model("example-model") + const items = [ + { type: "web_search_call", id: "ws_1", status: "completed" }, + { type: "x_search_call", id: "x_search_1", status: "completed" }, + { type: "future_call", id: "future_1", status: "completed" }, + { type: "file_search_call", id: "fs_1", queries: "not-an-array" }, + ] + const prepared = yield* compileRequest( + LLM.request({ + model, + messages: items.map((item) => + Message.assistant({ + type: "tool-result", + id: item.id, + name: item.type, + result: { type: "json", value: item }, + providerExecuted: true, + providerMetadata: { openresponses: { itemId: item.id } }, + }), + ), + }), + ) + + expect(prepared.body.input).toEqual([ + items[0], + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] }, + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] }, + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[3]) }] }, + ]) + }), + ) + it.effect("routes response deltas by output index", () => Effect.gen(function* () { const model = configure({ diff --git a/packages/ai/test/provider/openai-responses.test.ts b/packages/ai/test/provider/openai-responses.test.ts index f798bd80e2b..a299c2ff8f3 100644 --- a/packages/ai/test/provider/openai-responses.test.ts +++ b/packages/ai/test/provider/openai-responses.test.ts @@ -2758,7 +2758,7 @@ describe("OpenAI Responses route", () => { }), ) - it.effect("closes reasoning summary parts when storage is not disabled", () => + it.effect("preserves final reasoning metadata when storage is enabled", () => Effect.gen(function* () { const response = yield* LLMClient.generate(LLMRequest.update(request, { providerOptions: { store: true } })).pipe( Effect.provide( @@ -2776,7 +2776,7 @@ describe("OpenAI Responses route", () => { { type: "response.reasoning_summary_part.done", item_id: "rs_1", summary_index: 1 }, { type: "response.output_item.done", - item: { type: "reasoning", id: "rs_1", encrypted_content: null }, + item: { type: "reasoning", id: "rs_1", encrypted_content: "encrypted-state" }, }, { type: "response.completed", response: { id: "resp_1" } }, ), @@ -2786,7 +2786,11 @@ describe("OpenAI Responses route", () => { expect(response.events.filter((event) => event.type === "reasoning-end")).toEqual([ { type: "reasoning-end", id: "rs_1:0", providerMetadata: { openai: { itemId: "rs_1" } } }, - { type: "reasoning-end", id: "rs_1:1", providerMetadata: { openai: { itemId: "rs_1" } } }, + { + type: "reasoning-end", + id: "rs_1:1", + providerMetadata: { openai: { itemId: "rs_1", reasoningEncryptedContent: "encrypted-state" } }, + }, ]) }), ) @@ -2891,7 +2895,7 @@ describe("OpenAI Responses route", () => { }), ) - it.effect("references stored reasoning items by id", () => + it.effect("replays complete reasoning items when storage is enabled", () => Effect.gen(function* () { const prepared = yield* compileRequest( LLM.request({ @@ -2901,7 +2905,7 @@ describe("OpenAI Responses route", () => { { type: "reasoning", text: "Checked the previous diff.", - providerMetadata: { openai: { itemId: "rs_1" } }, + providerMetadata: { openai: { itemId: "rs_1", reasoningEncryptedContent: "encrypted-state" } }, }, ]), ], @@ -2909,12 +2913,20 @@ describe("OpenAI Responses route", () => { }), ) - expect(prepared.body.input).toEqual([{ type: "item_reference", id: "rs_1" }]) + expect(prepared.body.input).toEqual([ + { + type: "reasoning", + id: "rs_1", + summary: [{ type: "summary_text", text: "Checked the previous diff." }], + encrypted_content: "encrypted-state", + }, + ]) }), ) - it.effect("references stored provider-executed hosted tool results by id", () => + it.effect("replays complete hosted tool items when storage is enabled", () => Effect.gen(function* () { + const item = { type: "web_search_call", id: "ws_1", status: "completed" } const prepared = yield* compileRequest( LLM.request({ model, @@ -2931,7 +2943,7 @@ describe("OpenAI Responses route", () => { type: "tool-result", id: "ws_1", name: "web_search", - result: { type: "json", value: { type: "web_search_call", id: "ws_1", status: "completed" } }, + result: { type: "json", value: item }, providerExecuted: true, providerMetadata: { openai: { itemId: "ws_1" } }, }, @@ -2943,14 +2955,15 @@ describe("OpenAI Responses route", () => { ) expect(prepared.body.input).toEqual([ - { type: "item_reference", id: "ws_1" }, + item, { role: "user", content: [{ type: "input_text", text: "Continue." }] }, ]) }), ) - it.effect("continues stateless hosted tool results with their text form", () => + it.effect("replays stateless hosted tool results as native provider items", () => Effect.gen(function* () { + const item = { type: "web_search_call", id: "ws_1", status: "completed" } const prepared = yield* compileRequest( LLM.request({ model, @@ -2968,7 +2981,7 @@ describe("OpenAI Responses route", () => { type: "tool-result", id: "ws_1", name: "web_search", - result: { type: "json", value: { type: "web_search_call", id: "ws_1", status: "completed" } }, + result: { type: "json", value: item }, providerExecuted: true, providerMetadata: { openai: { itemId: "ws_1" } }, }, @@ -2981,6 +2994,74 @@ describe("OpenAI Responses route", () => { expect(prepared.body.input).toEqual([ { role: "user", content: [{ type: "input_text", text: "Search." }] }, + { type: "web_search_call", id: "ws_1", status: "completed" }, + { role: "user", content: [{ type: "input_text", text: "Continue." }] }, + ]) + }), + ) + + it.effect("replays OpenAI hosted tool extensions but rejects foreign and unknown items", () => + Effect.gen(function* () { + const items = [ + { type: "computer_call", id: "computer_1", status: "completed", action: { type: "click", x: 1, y: 2 } }, + { type: "x_search_call", id: "x_search_1", status: "completed" }, + { type: "future_call", id: "future_1", status: "completed" }, + ] + const prepared = yield* compileRequest( + LLM.request({ + model, + messages: items.map((item) => + Message.assistant({ + type: "tool-result", + id: item.id, + name: item.type, + result: { type: "json", value: item }, + providerExecuted: true, + providerMetadata: { openai: { itemId: item.id } }, + }), + ), + }), + ) + + expect(prepared.body.input).toEqual([ + items[0], + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] }, + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] }, + ]) + }), + ) + + it.effect("preserves foreign hosted tool results as portable message content when storage is enabled", () => + Effect.gen(function* () { + const item = { type: "web_search_call", id: "ws_1", status: "completed" } + const prepared = yield* compileRequest( + LLM.request({ + model: xaiModel, + messages: [ + Message.assistant([ + ToolCallPart.make({ + id: "ws_1", + name: "web_search", + input: { query: "effect 4" }, + providerExecuted: true, + providerMetadata: { openai: { itemId: "ws_1" } }, + }), + { + type: "tool-result", + id: "ws_1", + name: "web_search", + result: { type: "json", value: item }, + providerExecuted: true, + providerMetadata: { openai: { itemId: "ws_1" } }, + }, + ]), + Message.user("Continue."), + ], + providerOptions: { store: true }, + }), + ) + + expect(prepared.body.input).toEqual([ { role: "user", content: [{ type: "input_text", text: '{"type":"web_search_call","id":"ws_1","status":"completed"}' }], @@ -2990,6 +3071,35 @@ describe("OpenAI Responses route", () => { }), ) + it.effect("does not replay hosted tool items whose result id differs from provider metadata", () => + Effect.gen(function* () { + const prepared = yield* compileRequest( + LLM.request({ + model, + messages: [ + Message.assistant([ + { + type: "tool-result", + id: "ws_1", + name: "web_search", + result: { type: "json", value: { type: "web_search_call", id: "ws_other", status: "completed" } }, + providerExecuted: true, + providerMetadata: { openai: { itemId: "ws_1" } }, + }, + ]), + ], + }), + ) + + expect(prepared.body.input).toEqual([ + { + role: "user", + content: [{ type: "input_text", text: '{"type":"web_search_call","id":"ws_other","status":"completed"}' }], + }, + ]) + }), + ) + it.effect("drops replayed item ids outside the server's grammar", () => Effect.gen(function* () { const prepared = yield* compileRequest( @@ -3046,25 +3156,28 @@ describe("OpenAI Responses route", () => { }), ) - it.effect("keeps well-formed hosted references and drops malformed ones under storage", () => + it.effect("falls back to portable hosted results when stored item metadata is malformed", () => Effect.gen(function* () { - const hostedResult = (itemId: string) => [ - ToolCallPart.make({ - id: itemId, - name: "web_search", - input: { query: "effect 4" }, - providerExecuted: true, - providerMetadata: { openai: { itemId } }, - }), - { - type: "tool-result" as const, - id: itemId, - name: "web_search", - result: { type: "json" as const, value: { status: "completed" } }, - providerExecuted: true as const, - providerMetadata: { openai: { itemId } }, - }, - ] + const hostedResult = (itemId: string) => { + const item = { type: "web_search_call", id: itemId, status: "completed" } + return [ + ToolCallPart.make({ + id: itemId, + name: "web_search", + input: { query: "effect 4" }, + providerExecuted: true, + providerMetadata: { openai: { itemId } }, + }), + { + type: "tool-result" as const, + id: itemId, + name: "web_search", + result: { type: "json" as const, value: item }, + providerExecuted: true as const, + providerMetadata: { openai: { itemId } }, + }, + ] + } const prepared = yield* compileRequest( LLM.request({ model, @@ -3073,7 +3186,13 @@ describe("OpenAI Responses route", () => { }), ) - expect(prepared.body.input).toEqual([{ type: "item_reference", id: "ws_1" }]) + expect(prepared.body.input).toEqual([ + { type: "web_search_call", id: "ws_1", status: "completed" }, + { + role: "user", + content: [{ type: "input_text", text: '{"type":"web_search_call","id":"bad ref","status":"completed"}' }], + }, + ]) }), ) @@ -3119,6 +3238,43 @@ describe("OpenAI Responses route", () => { }), ) + it.effect("preserves foreign hosted images as portable image content when storage is enabled", () => + Effect.gen(function* () { + const item = { type: "image_generation_call", id: "ig_1", status: "completed", result: "AQID" } + const prepared = yield* compileRequest( + LLM.request({ + model: xaiModel, + messages: [ + Message.assistant([ + ToolCallPart.make({ + id: "ig_1", + name: "image_generation", + input: {}, + providerExecuted: true, + providerMetadata: { openai: { itemId: "ig_1" } }, + }), + ToolResultPart.make({ + id: "ig_1", + name: "image_generation", + result: { + type: "content", + value: [{ type: "file", uri: "data:image/png;base64,AQID", mime: "image/png" }], + }, + providerExecuted: true, + providerMetadata: { openai: { itemId: "ig_1" } }, + }), + ]), + ], + providerOptions: { store: true }, + }), + ) + + expect(prepared.body.input).toEqual([ + { role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] }, + ]) + }), + ) + it.effect("joins streamed summary blocks into one continuation reasoning item", () => Effect.gen(function* () { const prepared = yield* compileRequest( @@ -3828,13 +3984,15 @@ describe("OpenAI Responses route", () => { }), ) - it.effect("decodes image generation output as image content", () => + it.effect("replays hosted image results as portable content regardless of storage", () => Effect.gen(function* () { const item = { type: "image_generation_call", id: "ig_1", status: "completed", result: "AQID", + action: "generate", + output_format: "png", } const response = yield* LLMClient.generate(request).pipe( Effect.provide( @@ -3847,6 +4005,9 @@ describe("OpenAI Responses route", () => { ), ) + expect(response.events.find(LLMEvent.is.toolCall)).toMatchObject({ + providerMetadata: { openai: { itemId: "ig_1" } }, + }) expect(response.events.find(LLMEvent.is.toolResult)).toMatchObject({ id: "ig_1", name: "image_generation", @@ -3855,7 +4016,52 @@ describe("OpenAI Responses route", () => { type: "content", value: [{ type: "file", uri: "data:image/png;base64,AQID", mime: "image/png" }], }, + providerMetadata: { openai: { itemId: "ig_1" } }, }) + + const prepared = yield* Effect.forEach([false, true], (store) => + compileRequest(LLM.request({ model, messages: [response.message], providerOptions: { store } })), + ) + expect(prepared.map((request) => request.body.input)).toEqual([ + [{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] }], + [{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] }], + ]) + }), + ) + + it.effect("preserves failed hosted tool results as portable error content", () => + Effect.gen(function* () { + const item = { + type: "web_search_call", + id: "ws_failed", + status: "failed", + error: { code: "search_failed", message: "Search unavailable" }, + } + const response = yield* LLMClient.generate(request).pipe( + Effect.provide( + fixedResponse( + sseEvents( + { type: "response.output_item.done", item }, + { type: "response.completed", response: { id: "resp_1" } }, + ), + ), + ), + ) + + expect(response.events.find(LLMEvent.is.toolResult)).toMatchObject({ + result: { type: "error", value: item.error }, + providerMetadata: { openai: { itemId: "ws_failed" } }, + }) + + const prepared = yield* compileRequest( + LLM.request({ model, messages: [response.message], providerOptions: { store: true } }), + ) + expect(prepared.body.input).toEqual([ + { + role: "user", + content: [{ type: "input_text", text: '{"code":"search_failed","message":"Search unavailable"}' }], + }, + ]) }), ) diff --git a/packages/ai/test/provider/xai-responses.test.ts b/packages/ai/test/provider/xai-responses.test.ts index a09ea69d49b..a567ba90375 100644 --- a/packages/ai/test/provider/xai-responses.test.ts +++ b/packages/ai/test/provider/xai-responses.test.ts @@ -1,6 +1,6 @@ import { describe, expect } from "bun:test" import { Effect } from "effect" -import { LLM, LLMEvent } from "../../src/index.js" +import { LLM, LLMEvent, Message } from "../../src/index.js" import { XAI } from "../../src/providers.js" import { OpenResponses } from "../../src/protocols/open-responses.js" import { OpenAIResponses } from "../../src/protocols/openai-responses.js" @@ -14,9 +14,9 @@ import { sseEvents } from "../lib/sse.js" const model = XAI.configure({ apiKey: "test", baseURL: "https://api.x.ai/v1" }).responses("grok-4.6") describe("xAI Responses route", () => { - it.effect("extends the Open Responses baseline directly", () => + it.effect("composes the Open Responses baseline with xAI extensions", () => Effect.gen(function* () { - expect(XAIResponses.protocol.body).toBe(OpenResponses.protocol.body) + expect(XAIResponses.protocol.body).not.toBe(OpenResponses.protocol.body) expect(XAIResponses.protocol.body).not.toBe(OpenAIResponses.protocol.body) const prepared = yield* compileRequest(LLM.request({ model, prompt: "Hello" })) @@ -106,16 +106,70 @@ describe("xAI Responses route", () => { }), ) + it.effect("replays xAI hosted tool items when continuing with the same provider", () => + Effect.gen(function* () { + const item = { type: "x_search_call", id: "x_search_1", status: "completed", action: { query: "news" } } + const prepared = yield* compileRequest( + LLM.request({ + model, + messages: [ + Message.assistant([ + { + type: "tool-result", + id: "x_search_1", + name: "x_search", + result: { type: "json", value: item }, + providerExecuted: true, + providerMetadata: { xai: { itemId: "x_search_1" } }, + }, + ]), + ], + }), + ) + + expect(prepared.body.input).toEqual([item]) + }), + ) + + it.effect("replays shared and xAI hosted tool items but rejects OpenAI extensions", () => + Effect.gen(function* () { + const items = [ + { type: "web_search_call", id: "ws_1", status: "completed" }, + { type: "image_generation_call", id: "ig_1", status: "completed", result: "AQID" }, + { type: "computer_call", id: "computer_1", status: "completed" }, + ] + const prepared = yield* compileRequest( + LLM.request({ + model, + messages: items.map((item) => + Message.assistant({ + type: "tool-result", + id: item.id, + name: item.type, + result: { type: "json", value: item }, + providerExecuted: true, + providerMetadata: { xai: { itemId: item.id } }, + }), + ), + }), + ) + + expect(prepared.body.input).toEqual([ + items[0], + items[1], + { role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] }, + ]) + }), + ) + it.effect("parses xAI hosted tool items", () => Effect.gen(function* () { + const item = { type: "x_search_call", id: "x_search_1", status: "completed", action: { query: "news" } } const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Search X" })).pipe( Effect.provide( fixedResponse( sseEvents( - { - type: "response.output_item.done", - item: { type: "x_search_call", id: "x_search_1", status: "completed", action: { query: "news" } }, - }, + { type: "response.output_item.done", item }, { type: "response.completed", response: { id: "response_1" } }, ), ), @@ -127,6 +181,11 @@ describe("xAI Responses route", () => { name: "x_search", input: { query: "news" }, providerExecuted: true, + providerMetadata: { xai: { itemId: "x_search_1" } }, + }) + expect(response.events.find(LLMEvent.is.toolResult)).toMatchObject({ + result: { type: "json", value: item }, + providerMetadata: { xai: { itemId: "x_search_1" } }, }) }), )