Codex CLI drops inline pasted payload when generating follow-up doc

What version of Codex is running?

codex-cli 0.47.0

What subscription do you have?

Pro

Which model were you using?

gpt-5

What platform is your computer?

Linux 6.6.87.2-microsoft-standard-WSL2 x86_64 x86_64

What issue are you seeing?

Observed behavior: during a documentation task, I supplied a multi-hundred character payload via inline paste. The assistant acknowledged receiving only a placeholder marker (e.g., “Pasted Content #### chars”) and proceeded without the actual content, leading to incomplete deliverables. Expected behavior: the assistant should ingest the pasted payload verbatim and make it available for downstream reasoning. Repro steps: paste a large text block in-line during a Codex CLI session, then ask the assistant to reference that content; observe that the assistant can only see the placeholder label instead of the real data. Impact: prevents accurate execution of tasks that rely on user-provided context. Request prioritization for restoring full payload access or clarifying limits surfaced to the user.

What steps can reproduce the bug?

1. Open a Codex CLI session and begin a conversation with the assistant.
2. Paste a multi-paragraph or long-form text block directly into the chat input (no file upload, just inline paste).
3. Possibly take other steps editing before and after the pasted text placeholder.
4. Submit the message and immediately ask the assistant to summarize or reference the pasted material.
5. Observe that, instead of the actual text, the assistant only acknowledges a placeholder such as “Pasted Content #### chars,” demonstrating that the full payload was not ingested.

What is the expected behavior?

When a user pastes multi-line or large-form text directly into the Codex CLI conversation, the assistant should receive the full payload exactly as supplied—no truncation, placeholders, or metadata substitutions. The pasted content must be available for immediate reasoning, citation, and reuse in follow-up responses, so the assistant can produce accurate outputs that reflect the user’s source material.

Additional information

_No response_