Routed direct custom-message conversion through the collab steering transform so side requests and compaction see the same enveloped user turn as primary requests.
Extended the regression test to exercise convertToLlm without transformContext.
Converted user-attributed collab prompt frames to prioritized user messages only on the model-facing path, preserving guest details in persisted transcript frames.
Added regression coverage for the provider role, steering envelope, and retained guest attribution.
Fixes#7288
- Restructured the user interjection prompt to use a system-notice envelope instead of nested message tags.
- Updated associated tests to verify the new system-notice formatting for steering messages.
- Added explicit existence checks for objects prior to property access across various test suites.
- Replaced optional chaining with non-null assertions to satisfy TypeScript strictness requirements in test assertions.
Split image-bearing custom messages into developer text plus user image content before provider conversion so queued skill images stay out of developer slots.
Scoped provider-refusal filtering to live replay so compaction and snapcompact summaries retain the refused turn while outbound provider context still drops the refusal.
Fixes#3592
API-level refusals now stay visible as terminal errors without being sent back as assistant dialogue on the next provider request. Added core and coding-agent conversion coverage for Anthropic refusal metadata.
Fixes#3592
Reviewer caught that demoting the whole mixed payload to `user` (`@notes.md
@screenshot.png`) regressed the developer-priority treatment text-only
mentions still get for image-free turns. `generateFileMentionMessages` packs
every `@…` into one `fileMention`, so the previous `hasImage` toggle
collapsed the source-file context into the user slot whenever an image was
attached.
`convertToLlm` now returns up to two messages per `fileMention` via
`flatMap`: text-only files keep their existing `developer` envelope, and
image-bearing files emit a separate `user` envelope that carries their
`<file>` wrappers plus the `input_image` block. Pure-text and pure-image
turns still collapse to a single message.
Tests cover the mixed case (split into developer + user), the image-only case
(single user message), and the existing text-only case (single developer
message).
Fixes#3443
Codex GPT models on chatgpt.com /codex/responses rejected `@image` turns with
`Codex error event: [OneOfParam] [input[N].content[M]] [invalid_enum_value]
Invalid value: 'input_image'. Supported values are: 'input_text'.` —
`convertToLlm`'s `fileMention` arm always emitted a `developer`-role
Responses message, but a developer-role content slot only accepts
`input_text`. #3421's prior fix only suppressed the Codex Responses Lite
header on image-bearing turns; the full transport kept rejecting the same body.
`fileMention` now uses `user` role when any attached file carries an image;
text-only mentions keep `developer` so the auto-read context still rides at
instruction priority for the agent.
Fixes#3443
- Changed `wrapSteeringForModel` to wrap every `steering:true` user message regardless of position, so a steer's wire bytes stay identical once buried instead of reverting to raw and busting the prompt cache.
- Neutralized the present-tense framing in `user-interjection.md` so always-wrapping no longer leaves stale "current task" wording on buried interjections.
- Updated `session-messages.test.ts` to assert buried steering messages are wrapped too.
Adds compaction.strategy: "snapcompact" to the schema and the AgentSession routing: when chosen, both manual /compact (without custom instructions) and auto compaction call snapcompactCompact() to archive history as PNG frames instead of an LLM summary. Falls back to context-full with a visible warning notice when the current model is text-only or when /compact gets custom instructions. CustomTool and shared-event payloads carry the new action through. \n\nAlso wires the per-turn supersede pass: #pruneSupersededReads() runs every turn before threshold gating (cache-aware: only fires when the post-candidate suffix is small or the prompt cache is cold), prunes older read results superseded by a newer read of the same file, rewrites the session, and accounts the saved tokens in the next compaction decision. Gated by compaction.supersedeReads (default on).\n\nsession/messages.ts now delegates the core role conversion to agent-core's convertMessageToLlm so snapcompact image blocks flow through the LLM-context conversion path.
- Updated `convertToLlm` logic to emit `developer` role for custom, hook, and file-mention inputs.
- Simplified OpenAI compact output filtering to retain only `user` and `assistant` messages, removing legacy `system-reminder` pattern checks.
- Adjusted compaction and session tests to match the new developer-role mapping and expected compacted content.
- Marked steering user messages and wrapped them pre-LLM so the model sees a `` envelope.
- Kept transcripts and persisted history with the user's original raw text.
- Restored `AssistantMessageComponent` stable-prefix completion API.
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