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feat(app-server, core): allow text + image content items for dynamic tool outputs (#10567)
Took over the work that @aaronl-openai started here: https://github.com/openai/codex/pull/10397 Now that app-server clients are able to set up custom tools (called `dynamic_tools` in app-server), we should expose a way for clients to pass in not just text, but also image outputs. This is something the Responses API already supports for function call outputs, where you can pass in either a string or an array of content outputs (text, image, file): https://platform.openai.com/docs/api-reference/responses/create#responses_create-input-input_item_list-item-function_tool_call_output-output-array-input_image So let's just plumb it through in Codex (with the caveat that we only support text and image for now). This is implemented end-to-end across app-server v2 protocol types and core tool handling. ## Breaking API change NOTE: This introduces a breaking change with dynamic tools, but I think it's ok since this concept was only recently introduced (https://github.com/openai/codex/pull/9539) and it's better to get the API contract correct. I don't think there are any real consumers of this yet (not even the Codex App). Old shape: `{ "output": "dynamic-ok", "success": true }` New shape: ``` { "contentItems": [ { "type": "inputText", "text": "dynamic-ok" }, { "type": "inputImage", "imageUrl": "data:image/png;base64,AAA" } ] "success": true } ```
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@@ -2864,6 +2864,19 @@
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]
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"FunctionCallOutputBody": {
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"anyOf": [
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"type": "string"
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"items": {
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"$ref": "#/definitions/FunctionCallOutputContentItem"
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"type": "array"
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"FunctionCallOutputContentItem": {
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"description": "Responses API compatible content items that can be returned by a tool call. This is a subset of ContentItem with the types we support as function call outputs.",
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"oneOf": [
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@@ -2910,19 +2923,10 @@
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"FunctionCallOutputPayload": {
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"description": "The payload we send back to OpenAI when reporting a tool call result.\n\n`content` preserves the historical plain-string payload so downstream integrations (tests, logging, etc.) can keep treating tool output as `String`. When an MCP server returns richer data we additionally populate `content_items` with the structured form that the Responses API understands.",
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"description": "The payload we send back to OpenAI when reporting a tool call result.\n\n`body` serializes directly as the wire value for `function_call_output.output`. `success` remains internal metadata for downstream handling.",
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"properties": {
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"content": {
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"type": "string"
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"content_items": {
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"items": {
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"$ref": "#/definitions/FunctionCallOutputContentItem"
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"type": [
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"array",
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"null"
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"body": {
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"$ref": "#/definitions/FunctionCallOutputBody"
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"success": {
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"type": [
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@@ -2932,7 +2936,7 @@
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"required": [
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"content"
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"body"
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"type": "object"
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