Fix quicktype and regenerate types

.github/workflows/update-provider-types.yml

@@ -100,7 +100,7 @@ jobs:
           sudo apt-get update
           sudo apt-get install -y protobuf-compiler
           npm install -g braintrust || echo "::warning::Failed to install Braintrust SDK; parent trace setup will be skipped"
-          pnpm add -g quicktype
+          pnpm install --filter @lingua/quicktype-toolchain --frozen-lockfile
 
       - name: Create Braintrust workflow trace
         id: braintrust_trace

bindings/typescript/src/generated/ToolCaller.ts

@@ -1,4 +1,4 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
 import type { ToolCallerType } from "./ToolCallerType";
 
-export type ToolCaller = { type: ToolCallerType, caller_id: string, };
+export type ToolCaller = { type: ToolCallerType, caller_id: string | null, };

bindings/typescript/src/generated/ToolCallerType.ts

@@ -1,3 +1,3 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
 
-export type ToolCallerType = "program";
+export type ToolCallerType = "direct" | "program";

bindings/typescript/src/generated/openai/AmbitiousType.ts

@@ -1,7 +1,8 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
 
 /**
- * Specifies the event type. For a computer screenshot, this property is
- * always set to `computer_screenshot`.
+ * The type of the output. Always `logs`.
+ *
+ * The type of the output. Always `image`.
  */
-export type AmbitiousType = "computer_screenshot";
+export type AmbitiousType = "image" | "logs";

bindings/typescript/src/generated/openai/ArrayOfContentPartPromptCacheBreakpoint.ts

@@ -0,0 +1,12 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+import type { PromptCacheBreakpointMode } from "./PromptCacheBreakpointMode";
+
+/**
+ * Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the
+ * request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block.
+ */
+export type ArrayOfContentPartPromptCacheBreakpoint = { 
+/**
+ * The breakpoint mode. Always `explicit`.
+ */
+mode: PromptCacheBreakpointMode, };

bindings/typescript/src/generated/openai/CallableToolAllowedCaller.ts

@@ -0,0 +1,6 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+
+/**
+ * The tool invocation context(s).
+ */
+export type CallableToolAllowedCaller = "direct" | "programmatic";

bindings/typescript/src/generated/openai/ChatCompletionRequestMessageContent.ts

@@ -1,4 +1,4 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { ChatCompletionRequestMessageContentPart } from "./ChatCompletionRequestMessageContentPart";
+import type { PurpleContentPart } from "./PurpleContentPart";
 
-export type ChatCompletionRequestMessageContent = Array<ChatCompletionRequestMessageContentPart> | string;
+export type ChatCompletionRequestMessageContent = Array<PurpleContentPart> | string;

bindings/typescript/src/generated/openai/CodeInterpreterOutput.ts

@@ -1,5 +1,5 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { CunningType } from "./CunningType";
+import type { AmbitiousType } from "./AmbitiousType";
 
 /**
  * The outputs generated by the code interpreter, such as logs or images.
@@ -20,7 +20,7 @@ logs: string | null,
  *
  * The type of the output. Always `image`.
  */
-type: CunningType, 
+type: AmbitiousType, 
 /**
  * The URL of the image output from the code interpreter.
  */

bindings/typescript/src/generated/openai/ComputerScreenshotImage.ts

@@ -1,5 +1,5 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { AmbitiousType } from "./AmbitiousType";
+import type { ComputerScreenshotImageType } from "./ComputerScreenshotImageType";
 
 /**
  * A computer screenshot image used with the computer use tool.
@@ -17,4 +17,4 @@ image_url: string | null,
  * Specifies the event type. For a computer screenshot, this property is
  * always set to `computer_screenshot`.
  */
-type: AmbitiousType, };
+type: ComputerScreenshotImageType, };

bindings/typescript/src/generated/openai/ComputerScreenshotImageType.ts

@@ -0,0 +1,7 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+
+/**
+ * Specifies the event type. For a computer screenshot, this property is
+ * always set to `computer_screenshot`.
+ */
+export type ComputerScreenshotImageType = "computer_screenshot";

bindings/typescript/src/generated/openai/ConnectorId.ts

@@ -2,8 +2,8 @@
 
 /**
  * Identifier for service connectors, like those available in ChatGPT. One of
- * `server_url` or `connector_id` must be provided. Learn more about service
- * connectors [here](/docs/guides/tools-remote-mcp#connectors).
+ * `server_url`, `connector_id`, or `tunnel_id` must be provided. Learn more
+ * about service connectors [here](/docs/guides/tools-remote-mcp#connectors).
  *
  * Currently supported `connector_id` values are:
  *

bindings/typescript/src/generated/openai/ContentInputItemContentList.ts

@@ -0,0 +1,83 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+import type { Annotation } from "./Annotation";
+import type { DetailEnum } from "./DetailEnum";
+import type { HilariousType } from "./HilariousType";
+import type { InputItemContentListPromptCacheBreakpoint } from "./InputItemContentListPromptCacheBreakpoint";
+import type { LogProbability } from "./LogProbability";
+
+/**
+ * A list of one or many input items to the model, containing different content
+ * types.
+ *
+ *
+ * Text, image, or file output of the custom tool call.
+ *
+ *
+ * Text, image, or file output of the function call.
+ *
+ *
+ * A text input to the model.
+ *
+ * An image input to the model. Learn about [image inputs](/docs/guides/vision).
+ *
+ * A file input to the model.
+ *
+ * A text output from the model.
+ *
+ * A refusal from the model.
+ *
+ * Reasoning text from the model.
+ */
+export type ContentInputItemContentList = { prompt_cache_breakpoint: InputItemContentListPromptCacheBreakpoint | null, 
+/**
+ * The text input to the model.
+ *
+ * The text output from the model.
+ *
+ * The reasoning text from the model.
+ */
+text: string | null, 
+/**
+ * The type of the input item. Always `input_text`.
+ *
+ * The type of the input item. Always `input_image`.
+ *
+ * The type of the input item. Always `input_file`.
+ *
+ * The type of the output text. Always `output_text`.
+ *
+ * The type of the refusal. Always `refusal`.
+ *
+ * The type of the reasoning text. Always `reasoning_text`.
+ */
+type: HilariousType, 
+/**
+ * The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or
+ * `original`. Defaults to `auto`.
+ *
+ * The detail level of the file to be sent to the model. Use `auto` to let the system select
+ * the detail level; for GPT-5.6 and later models, `auto` uses high-quality rendering, which
+ * may increase input token usage. Use `low` for lower-cost rendering, or `high` to render
+ * the file at higher quality. Defaults to `auto`.
+ */
+detail: DetailEnum | null, file_id: string | null, image_url: string | null, 
+/**
+ * The content of the file to be sent to the model.
+ */
+file_data: string | null, 
+/**
+ * The URL of the file to be sent to the model.
+ */
+file_url: string | null, 
+/**
+ * The name of the file to be sent to the model.
+ */
+filename: string | null, 
+/**
+ * The annotations of the text output.
+ */
+annotations: Array<Annotation> | null, logprobs: Array<LogProbability> | null, 
+/**
+ * The refusal explanation from the model.
+ */
+refusal: string | null, };

bindings/typescript/src/generated/openai/CunningType.ts

@@ -1,8 +1,6 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
 
 /**
- * The type of the output. Always `logs`.
- *
- * The type of the output. Always `image`.
+ * The type of the inline skill source. Must be `base64`.
  */
-export type CunningType = "image" | "logs";
+export type CunningType = "base64";

bindings/typescript/src/generated/openai/DetailEnum.ts

@@ -4,7 +4,9 @@
  * The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or
  * `original`. Defaults to `auto`.
  *
- * The detail level of the file to be sent to the model. Use `low` for the default rendering
- * behavior, or `high` to render the file at higher quality. Defaults to `low`.
+ * The detail level of the file to be sent to the model. Use `auto` to let the system select
+ * the detail level; for GPT-5.6 and later models, `auto` uses high-quality rendering, which
+ * may increase input token usage. Use `low` for lower-cost rendering, or `high` to render
+ * the file at higher quality. Defaults to `auto`.
  */
 export type DetailEnum = "auto" | "high" | "low" | "original";

bindings/typescript/src/generated/openai/DirectToolCallCallerType.ts

@@ -0,0 +1,8 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+
+/**
+ * The caller type. Always `direct`.
+ *
+ * The caller type. Always `program`.
+ */
+export type DirectToolCallCallerType = "direct" | "program";

bindings/typescript/src/generated/openai/FunctionToolParam.ts

@@ -1,4 +1,5 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+import type { CallableToolAllowedCaller } from "./CallableToolAllowedCaller";
 import type { FluffyType } from "./FluffyType";
 import type { ToolFormat } from "./ToolFormat";
 
@@ -8,7 +9,7 @@ import type { ToolFormat } from "./ToolFormat";
  * A custom tool that processes input using a specified format. Learn more about   [custom
  * tools](/docs/guides/function-calling#custom-tools)
  */
-export type FunctionToolParam = { 
+export type FunctionToolParam = { allowed_callers: Array<CallableToolAllowedCaller> | null, 
 /**
  * Whether this function should be deferred and discovered via tool search.
  *
@@ -22,7 +23,7 @@ description: string | null,
 /**
  * The name of the custom tool, used to identify it in tool calls.
  */
-name: string, parameters: unknown, strict: boolean | null, 
+name: string, output_schema: unknown, parameters: unknown, strict: boolean | null, 
 /**
  * The type of the custom tool. Always `custom`.
  */

bindings/typescript/src/generated/openai/InlineSkillSourceParam.ts

@@ -1,5 +1,5 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { MagentaType } from "./MagentaType";
+import type { CunningType } from "./CunningType";
 import type { MediaType } from "./MediaType";
 
 /**
@@ -17,4 +17,4 @@ media_type: MediaType,
 /**
  * The type of the inline skill source. Must be `base64`.
  */
-type: MagentaType, };
+type: CunningType, };

bindings/typescript/src/generated/openai/InputItem.ts

@@ -1,19 +1,19 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { ToolCaller } from "../ToolCaller";
 import type { Arguments } from "./Arguments";
 import type { CodeInterpreterOutput } from "./CodeInterpreterOutput";
 import type { ComputerAction } from "./ComputerAction";
 import type { ComputerCallSafetyCheckParam } from "./ComputerCallSafetyCheckParam";
 import type { InputItemAction } from "./InputItemAction";
 import type { InputItemContent } from "./InputItemContent";
+import type { InputItemDirectToolCallCaller } from "./InputItemDirectToolCallCaller";
 import type { InputItemLocalEnvironmentParam } from "./InputItemLocalEnvironmentParam";
 import type { InputItemRole } from "./InputItemRole";
 import type { InputItemTool } from "./InputItemTool";
 import type { InputItemType } from "./InputItemType";
 import type { MessagePhase } from "./MessagePhase";
 import type { Output } from "./Output";
 import type { PurpleApplyPatchOperation } from "./PurpleApplyPatchOperation";
-import type { Result } from "./Result";
+import type { ResultElement } from "./ResultElement";
 import type { Status } from "./Status";
 import type { SummaryText } from "./SummaryText";
 import type { ToolSearchExecutionType } from "./ToolSearchExecutionType";
@@ -219,6 +219,10 @@ role: InputItemRole | null,
  *
  *
  * The type of the item. Always `compaction_trigger`.
+ *
+ * The item type. Always `program`.
+ *
+ * The item type. Always `program_output`.
  */
 type: InputItemType | null, 
 /**
@@ -257,6 +261,9 @@ type: InputItemType | null,
  *
  * The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`,
  * or `failed`.
+ *
+ *
+ * The terminal status of the program output.
  */
 status: Status | null, 
 /**
@@ -305,12 +312,16 @@ status: Status | null,
  *
  *
  * The ID of the item to reference.
+ *
+ * The unique ID of this program item.
+ *
+ * The unique ID of this program output item.
  */
 id: string | null, 
 /**
  * The queries used to search for files.
  */
-queries: Array<string> | null, results: Array<Result> | null, 
+queries: Array<string> | null, results: Array<ResultElement> | null, 
 /**
  * An object describing the specific action taken in this web search call.
  * Includes details on how the model used the web (search, open_page, find_in_page).
@@ -341,6 +352,11 @@ action: InputItemAction | null, actions: Array<ComputerAction> | null,
  *
  *
  * An identifier used to map this custom tool call to a tool call output.
+ *
+ *
+ * The stable call ID of the program item.
+ *
+ * The call ID of the program item.
  */
 call_id: unknown, 
 /**
@@ -370,7 +386,7 @@ output: Output | null,
  *
  * A JSON string of the arguments passed to the tool.
  */
-arguments: Arguments | null, 
+arguments: Arguments | null, caller: InputItemDirectToolCallCaller | null, 
 /**
  * The name of the function to run.
  *
@@ -410,7 +426,15 @@ encrypted_content: string | null,
 /**
  * Reasoning summary content.
  */
-summary: Array<SummaryText> | null, result: string | null, code: string | null, fingerprint: string | null, caller: ToolCaller | null, 
+summary: Array<SummaryText> | null, 
+/**
+ * The result produced by the program item.
+ */
+result: string | null, 
+/**
+ * The JavaScript source executed by programmatic tool calling.
+ */
+code: string | null, 
 /**
  * The ID of the container used to run the code.
  */
@@ -440,4 +464,8 @@ approve: boolean | null, reason: string | null, request_id: unknown,
 /**
  * The input for the custom tool call generated by the model.
  */
-input: string | null, };
+input: string | null, 
+/**
+ * Opaque program replay fingerprint that must be round-tripped.
+ */
+fingerprint: string | null, };

bindings/typescript/src/generated/openai/InputItemContent.ts

@@ -1,4 +1,4 @@
 // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
-import type { ContentOutputContentList } from "./ContentOutputContentList";
+import type { ContentInputItemContentList } from "./ContentInputItemContentList";
 
-export type InputItemContent = Array<ContentOutputContentList> | string;
+export type InputItemContent = Array<ContentInputItemContentList> | string;

bindings/typescript/src/generated/openai/InputItemContentListPromptCacheBreakpoint.ts

@@ -0,0 +1,12 @@
+// This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually.
+import type { PromptCacheBreakpointMode } from "./PromptCacheBreakpointMode";
+
+/**
+ * Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the
+ * request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block.
+ */
+export type InputItemContentListPromptCacheBreakpoint = { 
+/**
+ * The breakpoint mode. Always `explicit`.
+ */
+mode: PromptCacheBreakpointMode, };