Support multi-tool install requests by nm-openai · Pull Request #27640 · openai/codex

nm-openai · 2026-06-11T17:14:58Z

Why

Codex needs a single model-facing install request that can present either one recommendation or a grouped set of plugin/connector choices.

This is PR 1 of 4 in the review stack and remains the behavioral foundation. The extension refactor starts in #28796.

Paired Codex Apps PR: https://github.com/openai/openai/pull/1019331

What changed

replace the singular request_plugin_install flow with request_plugin_installs
support flat and categorized plugin/connector choices
preserve exact (tool_type, tool_id) validation against known discoverable tools
constrain the TUI to its supported single-entry presentation
keep picker responses minimal while preserving install metadata and lifecycle behavior

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github-actions · 2026-06-15T19:20:20Z

All contributors have signed the CLA ✍️ ✅
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zswang-oai · 2026-06-15T21:48:06Z

I have read the CLA Document and I hereby sign the CLA

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chatgpt-codex-connector · 2026-06-16T00:25:14Z

+        parameters: JsonSchema::one_of(
+            vec![flat_picker_schema(), categorized_picker_schema()],


Keep function parameters rooted at an object

When this tool is exposed, the Responses API receives a function parameters schema whose root is oneOf, but OpenAI's supported schema subset requires the root schema to be an object, not a root union (docs). This can make turns with tool-suggest enabled fail request validation before the model runs; keep the root as an object and let the handler enforce exactly one of entries or categories.

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chatgpt-codex-connector · 2026-06-16T00:25:14Z

        planned_tools.add(RequestPluginInstallHandler::new(
            discoverable_tools.to_vec(),
        ));


Hide the legacy install tool from the model

When tool suggestions are enabled, this registers the legacy request_plugin_install handler with the default direct exposure, so it is still sent in the model-visible tool list alongside request_plugin_installs. That leaves the model free to keep choosing the single-target contract even though the list-tool guidance now points to the new multi-install picker; register this handler dispatch-only so resumed calls still work without advertising the obsolete shape.

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chatgpt-codex-connector · 2026-06-16T00:25:14Z

+        }
    }

    fn supports_parallel_tool_calls(&self) -> bool {


Serialize install requests with other tools

When the model emits request_plugin_installs together with another parallel-capable call, this opt-in lets the runtime run them concurrently even though the tool description says not to call it in parallel and the handler waits on a user-facing picker. That can let other work proceed before the install decision/verification completes; leave this at the default non-parallel behavior for the new elicitation tool.

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adaley-openai · 2026-06-17T19:50:48Z

Two small follow-ups from the endpoint work:

The recommendation-context description brings back IMPORTANT: DO NOT call this tool in parallel with other tools. We removed that intentionally, so can we leave it out here?
The PR description says the singular request_plugin_install remains registered as dispatch-only, but the current diff removes it. I am okay with dropping in-flight compatibility, so can we update the description to reflect the code rather than restoring the old handler?

nm-openai changed the title ~~Support grouped plugin install requests~~ Simplify multi-tool install requests Jun 11, 2026

nm-openai changed the title ~~Simplify multi-tool install requests~~ Support multi-tool install requests Jun 11, 2026

nm-openai marked this pull request as ready for review June 15, 2026 00:24

nm-openai requested a review from a team as a code owner June 15, 2026 00:24

chatgpt-codex-connector Bot reviewed Jun 15, 2026

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📊 AI CLI 工具社区动态日报 2026-06-15 zx0828/big_model_radar#125

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nm-openai marked this pull request as draft June 15, 2026 01:02

This was referenced Jun 15, 2026

📊 AI CLI 工具社区动态日报 2026-06-15 jasonalang/big_model_radar#91

Open

📊 AI CLI 工具社区动态日报 2026-06-15 litang9/big_model_radar#65

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zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch 2 times, most recently from 9346e5a to bf9bdbd Compare June 15, 2026 21:42

github-actions Bot added a commit that referenced this pull request Jun 15, 2026

@zswang-oai has signed the CLA in #27640

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zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch 2 times, most recently from fb6dbdd to 5b5e13c Compare June 16, 2026 00:15

zswang-oai marked this pull request as ready for review June 16, 2026 00:16

zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch from 5b5e13c to 869eaa3 Compare June 16, 2026 00:17

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📊 AI CLI 工具社区动态日报 2026-06-16 zx0828/big_model_radar#131

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zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch 2 times, most recently from 4afa5bf to e60b2a3 Compare June 16, 2026 17:15

zswang-oai changed the base branch from main to dev/adaley/generalize-plugin-suggestion-tools June 16, 2026 17:32

zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch from e60b2a3 to 2336949 Compare June 16, 2026 17:35

adaley-openai force-pushed the dev/adaley/generalize-plugin-suggestion-tools branch from 0c7a6a4 to 8c9169f Compare June 16, 2026 22:23

Base automatically changed from dev/adaley/generalize-plugin-suggestion-tools to main June 16, 2026 22:44

zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch 3 times, most recently from 11f472d to 259cc7a Compare June 17, 2026 18:44

zswang-oai mentioned this pull request Jun 17, 2026

Add plugin install request model #28796

Open

zswang-oai changed the base branch from main to nm-codex/plugin-installs-extension June 17, 2026 21:33

zswang-oai force-pushed the nm-codex/install-plugins-multiple-prompt branch 2 times, most recently from eed5cec to 70df46b Compare June 17, 2026 22:14

zswang-oai merged commit 70df46b into nm-codex/plugin-installs-extension Jun 17, 2026
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Support multi-tool install requests#27640

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nm-openai commented Jun 11, 2026 •

edited by zswang-oai

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		parameters: JsonSchema::one_of(
		vec![flat_picker_schema(), categorized_picker_schema()],

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