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23 Commits
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[5 of 7] Replace OverrideTurnContext with ThreadSettings (#22508)
**Stack position:** [5 of 7] ## Summary This PR adds `Op::ThreadSettings`, a queued settings-only update mechanism for changing stored thread settings without starting a new turn. It also removes the legacy `Op::OverrideTurnContext` in the same layer, so reviewers can see the replacement and deletion together. ## Changes - Add `Op::ThreadSettings` for settings-only queued updates. - Emit `ThreadSettingsApplied` with the effective thread settings snapshot after core applies an update. - Route settings-only updates through the same submission queue as user input. - Migrate remaining `OverrideTurnContext` tests and callers to the queued `Op::ThreadSettings` path. - Delete `Op::OverrideTurnContext` from the core protocol and submission loop. This stack addresses #20656 and #22090. ## Stack 1. [1 of 7] [Add thread settings to UserInput](https://github.com/openai/codex/pull/23080) 2. [2 of 7] [Remove UserInputWithTurnContext](https://github.com/openai/codex/pull/23081) 3. [3 of 7] [Remove UserTurn](https://github.com/openai/codex/pull/23075) 4. [4 of 7] [Placeholder for OverrideTurnContext cleanup](https://github.com/openai/codex/pull/23087) 5. [5 of 7] [Replace OverrideTurnContext with ThreadSettings](https://github.com/openai/codex/pull/22508) (this PR) 6. [6 of 7] [Add app-server thread settings API](https://github.com/openai/codex/pull/22509) 7. [7 of 7] [Sync TUI thread settings](https://github.com/openai/codex/pull/22510)
Eric Traut ·
2026-05-18 21:03:51 -07:00 -
[rollout-trace] Add a trace ID to MCP calls. (#22326)
This allows us to connect individual tool calls to the logs of the invocations.
cassirer-openai ·
2026-05-13 16:03:33 +00:00 -
[rollout-trace] Add x-codex-inference-call-id header to inference calls. (#22311)
This allows us to attach call logs to inference requests in traces.
cassirer-openai ·
2026-05-12 05:55:11 -07:00 -
Simplify MCP tool handler plumbing (#21595)
## Why The MCP tool path had accumulated a few core-owned special cases: a dedicated payload variant, resolver plumbing, a legacy `AfterToolUse` translation path, and a side channel for parallel-call metadata. That made `ToolRegistry` and the spec builder know more about MCP than they needed to. This change moves MCP-specific execution details back onto `ToolInfo` and `McpHandler` so `codex-core` can treat MCP calls like normal function calls while still preserving MCP-specific dispatch and telemetry behavior where it belongs. ## What changed - removed `resolve_mcp_tool_info`, `ToolPayload::Mcp`, `ToolKind`, and the remaining registry-side MCP resolver path - stored MCP routing metadata directly on `McpHandler` and `ToolInfo`, including `supports_parallel_tool_calls` - deleted the legacy `AfterToolUse` consumer in `core`, which removes the need for handler-specific `after_tool_use_payload` implementations - switched tool-result telemetry to handler-provided tags and kept MCP-specific dispatch payload construction inside the handler - simplified tool spec planning/building by passing `ToolInfo` directly and dropping the direct/deferred MCP wrapper structs and the parallel-server side table ## Testing - `cargo check -p codex-core -p codex-mcp -p codex-otel` - `cargo test -p codex-core mcp_parallel_support_uses_exact_payload_server` - `cargo test -p codex-core direct_mcp_tools_register_namespaced_handlers` - `cargo test -p codex-core search_tool_description_lists_each_mcp_source_once` - `cargo test -p codex-mcp list_all_tools_uses_startup_snapshot_while_client_is_pending` - `just fix -p codex-core -p codex-mcp -p codex-otel`
pakrym-oai ·
2026-05-12 00:11:31 +00:00 -
Reapply "Move skills watcher to app-server" (#21652)
## Why PR #21460 reverted the earlier move of skills change watching from `codex-core` into app-server. This reapplies that boundary change so app-server owns client-facing `skills/changed` notifications and core no longer carries the watcher. ## What - Restore the app-server `SkillsWatcher` and register it from thread listener setup. - Remove the core-owned skills watcher and its core live-reload integration surface. - Restore app-server coverage for `skills/changed` notifications after a watched skill file changes. ## Validation - `cargo test -p codex-app-server --test all suite::v2::skills_list::skills_changed_notification_is_emitted_after_skill_change -- --exact --nocapture` - `cargo test -p codex-core --lib --no-run`
pakrym-oai ·
2026-05-08 17:41:15 -07:00 -
pakrym-oai ·
2026-05-07 02:24:20 +00:00 -
Move skills watcher to app-server (#21287)
## Why Skills update notifications are app-server API behavior, but the watcher lived in `codex-core` and surfaced through `EventMsg::SkillsUpdateAvailable`. Moving the watcher out keeps core focused on thread execution and lets app-server own both cache invalidation and the `skills/changed` notification. ## What changed - Added an app-server-owned skills watcher that watches local skill roots, clears the shared skills cache, and emits `skills/changed` directly. - Registers skill watches from the common app-server thread listener attach path, including direct starts, resumes, and app-server-observed child or forked threads. - Stores the `WatchRegistration` on `ThreadState`, so listener replacement, thread teardown, idle unload, and app-server shutdown deregister by dropping the RAII guard. - Removed `EventMsg::SkillsUpdateAvailable`, the core watcher, and the old core live-reload test. - Extended the app-server skills change test to verify a cached skills list is refreshed after a filesystem change without forcing reload. ## Validation - `cargo check -p codex-core -p codex-app-server -p codex-mcp-server -p codex-rollout -p codex-rollout-trace` - `cargo test -p codex-app-server skills_changed_notification_is_emitted_after_skill_change`
pakrym-oai ·
2026-05-06 15:38:11 -07:00 -
Remove core MCP list tools op (#21281)
## Why The core `Op::ListMcpTools` request path is no longer needed. Keeping it around left a dead request/response surface alongside the app-server MCP inventory APIs that own current server status listing. ## What Changed - Removed `Op::ListMcpTools`, `EventMsg::McpListToolsResponse`, and the core handler that built the MCP snapshot response. - Removed the now-unused `codex-mcp` snapshot wrapper/export and passive event handling arms in rollout and MCP-server consumers. - Updated tests that used the old op as a synchronization hook to wait on existing startup/skills events, and deleted the plugin test that only exercised the removed listing op. ## Validation - `cargo test -p codex-protocol` - `cargo test -p codex-mcp` - `cargo test -p codex-rollout -p codex-rollout-trace -p codex-mcp-server` - `cargo test -p codex-core --test all pending_input::queued_inter_agent_mail` - `cargo test -p codex-core --test all rmcp_client::stdio_mcp_tool_call_includes_sandbox_state_meta` - `cargo test -p codex-core --test all rmcp_client::stdio_image_responses` - `just fix -p codex-core -p codex-protocol -p codex-mcp -p codex-rollout -p codex-rollout-trace -p codex-mcp-server`
pakrym-oai ·
2026-05-06 11:20:34 -07:00 -
Move message history out of core (#21278)
## Why Message history was implemented inside `codex-core` and surfaced through core protocol ops and `SessionConfiguredEvent` fields even though the current consumer is TUI-local prompt recall. That made core own UI history persistence and exposed `history_log_id` / `history_entry_count` through surfaces that app-server and other clients do not need. This change moves message history persistence out of core and keeps the recall plumbing local to the TUI. ## What changed - Added a new `codex-message-history` crate for appending, looking up, trimming, and reading metadata from `history.jsonl`. - Removed core protocol history ops/events: `AddToHistory`, `GetHistoryEntryRequest`, and `GetHistoryEntryResponse`. - Removed `history_log_id` and `history_entry_count` from `SessionConfiguredEvent` and updated exec/MCP/test fixtures accordingly. - Updated the TUI to dispatch local app events for message-history append/lookup and keep its persistent-history metadata in TUI session state. ## Validation - `cargo test -p codex-message-history -p codex-protocol` - `cargo test -p codex-exec event_processor_with_json_output` - `cargo test -p codex-mcp-server outgoing_message` - `cargo test -p codex-tui` - `just fix -p codex-message-history -p codex-protocol -p codex-core -p codex-tui -p codex-exec -p codex-mcp-server`
pakrym-oai ·
2026-05-06 08:35:42 -07:00 -
[codex] Remove legacy ListSkills op (#21282)
## Why `skills/list` is already exposed through app-server v2 and covered by the app-server test suite. Keeping the separate core `Op::ListSkills` path leaves a duplicate legacy protocol surface that no longer needs to be maintained. ## What Changed - Removed `Op::ListSkills` and `EventMsg::ListSkillsResponse` from the core protocol. - Deleted the corresponding core session handler and stale core integration tests. - Removed rollout/MCP ignore branches and protocol v1 docs references for the deleted event/op. - Left app-server `skills/list` and its existing coverage intact. ## Validation - `cargo test -p codex-protocol` - `cargo test -p codex-core --test all suite::skills` - `cargo check -p codex-mcp-server -p codex-rollout -p codex-rollout-trace` - `just fix -p codex-core`
pakrym-oai ·
2026-05-05 18:58:18 -07:00 -
[codex] Move thread naming to app server (#21260)
## Why Thread names are app-server metadata now, backed by the thread store and sqlite state database. Keeping a core `SetThreadName` op plus a rollout `thread_name_updated` event made rename persistence live in the wrong layer and required historical replay support for an event that new app-server flows should not write. ## What changed - Removed `Op::SetThreadName` and `EventMsg::ThreadNameUpdated` from the core protocol and deleted the core handler path that appended rename events to rollouts. - Updated app-server `thread/name/set` so both loaded and unloaded threads write through thread-store metadata and app-server emits `thread/name/updated` notifications. - Updated local thread-store name metadata updates to write sqlite title metadata and the legacy thread-name index without appending rollout events. - Removed state extraction and rollout handling for the deleted thread-name event. ## Validation - `cargo test -p codex-app-server thread_name_updated_broadcasts` - `cargo test -p codex-app-server thread_name_set_is_reflected_in_read_list_and_resume` - `cargo test -p codex-thread-store update_thread_metadata_sets_name_on_active_rollout_and_indexes_name` - `cargo test -p codex-state` - `cargo check -p codex-mcp-server -p codex-rollout-trace` - `just fix -p codex-app-server -p codex-thread-store -p codex-state -p codex-mcp-server -p codex-rollout-trace` ## Docs No external documentation update is expected for this internal ownership change.
pakrym-oai ·
2026-05-05 17:16:06 -07:00 -
feat: add remote compaction v2 Responses client path (#20773)
## Why This adds the `remote_compaction_v2` client path so remote compaction can run through the normal Responses stream and install a `context_compaction` item that trigger a compaction. The goal is to migrate some of the compaction logic on the client side We keeps the v2 transport behind a feature flag while letting follow-up requests reuse the compacted context instead of falling back to the legacy compaction item shape. ## What changed - add `ResponseItem::ContextCompaction` and refresh the generated app-server / schema / TypeScript fixtures that expose response items on the wire - add `core/src/compact_remote_v2.rs` to send compaction through the standard streamed Responses client, require exactly one `context_compaction` output item, and install that item into compacted history - route manual compact and auto-compaction through the v2 path when `remote_compaction_v2` is enabled, while keeping the existing remote compaction path as the fallback - preserve the new item type across history retention, follow-up request construction, telemetry, rollout persistence, and rollout-trace normalization - add targeted coverage for the feature flag, `context_compaction` serialization, rollout-trace normalization, and remote-compaction follow-up behavior ## Verification - added protocol tests for `context_compaction` serialization/deserialization in `protocol/src/models.rs` - added rollout-trace coverage for `context_compaction` normalization in `rollout-trace/src/reducer/conversation_tests.rs` - added remote compaction integration coverage for v2 follow-up reuse and mixed compaction output streams in `core/tests/suite/compact_remote.rs` --------- Co-authored-by: Codex <noreply@openai.com>
jif-oai ·
2026-05-04 14:15:01 +02:00 -
[codex] Emit image view as core item (#20512)
## Why Image-view results should be represented as a core-produced turn item instead of being reconstructed by app-server. At the same time, existing rollout/history paths still understand the legacy `ViewImageToolCall` event, so this keeps that event as compatibility output generated from the new item lifecycle. ## What changed - Added `TurnItem::ImageView` to `codex-protocol`. - Emitted image-view item start/completion directly from the core `view_image` handler. - Kept `ViewImageToolCall` as a legacy event and generate it from completed `TurnItem::ImageView` items. - Kept `thread_history.rs` on the legacy `ViewImageToolCall` replay path, with `ImageView` item lifecycle events ignored there. - Updated app-server protocol conversion, rollout persistence, and affected exhaustive event matches for the new item plus legacy fan-out shape. ## Verification - `cargo test -p codex-protocol -p codex-app-server-protocol -p codex-rollout -p codex-rollout-trace -p codex-mcp-server -p codex-app-server --lib` - `cargo test -p codex-core --test all view_image_tool_attaches_local_image` - `just fix -p codex-protocol -p codex-core -p codex-app-server-protocol -p codex-app-server -p codex-rollout -p codex-rollout-trace -p codex-mcp-server` - `git diff --check`
pakrym-oai ·
2026-05-01 11:28:30 -07:00 -
[codex] Remove unused event messages (#20511)
## Why Several legacy `EventMsg` variants were still emitted or mapped even though clients either ignored them or had moved to item/lifecycle events. `Op::Undo` had also degraded to an unavailable shim, so this removes that dead task path instead of preserving a command that cannot do useful work. `McpStartupComplete`, `WebSearchBegin`, and `ImageGenerationBegin` are intentionally kept because useful consumers still depend on them: MCP startup completion drives readiness behavior, and the begin events let app-server/core consumers surface in-progress web-search and image-generation items before the final payload arrives. ## What Changed - Removed weak legacy event variants and payloads from `codex-protocol`, including legacy agent deltas, background events, and undo lifecycle events. - Kept/restored `EventMsg::McpStartupComplete`, `EventMsg::WebSearchBegin`, and `EventMsg::ImageGenerationBegin` with serializer and emission coverage. - Updated core, rollout, MCP server, app-server thread history, review/delegate filtering, and tests to rely on the useful replacement events that remain. - Removed `Op::Undo`, `UndoTask`, the undo test module, and stale TUI slash-command comments. - Stopped agent job/background progress and compaction retry notices from emitting `BackgroundEvent` payloads. ## Verification - `cargo check -p codex-protocol -p codex-app-server-protocol -p codex-core -p codex-rollout -p codex-rollout-trace -p codex-mcp-server` - `cargo test -p codex-protocol -p codex-app-server-protocol -p codex-rollout -p codex-rollout-trace -p codex-mcp-server` - `cargo test -p codex-core --test all suite::items` - `just fix -p codex-protocol -p codex-app-server-protocol -p codex-core -p codex-rollout -p codex-rollout-trace -p codex-mcp-server` - Earlier coverage on this PR also included `codex-mcp`, `codex-tui`, core library tests, MCP/plugin/delegate/review/agent job tests, and MCP startup TUI tests.
pakrym-oai ·
2026-04-30 20:03:26 -07:00 -
[rollout-tracer] Match analysis messages on encrypted id. (#20123)
In some setups the summary or raw content can be dropped between requests. This triggers a check in the reducer which expects that the messages should remain identical between requests. This PR relaxes the checks to only focus on the encrypted ID instead. It also changes the reducer to keep the most rich version of the message observed during the rollout (this ensures that we don't accidentally lose the CoT nor summary when available).
cassirer-openai ·
2026-04-29 17:22:24 +00:00 -
[rollout-trace] Include x-request-id in rollout trace. (#20066)
## Why Rollout traces need an identifier that can be used to correlate a Codex inference with upstream Responses API, proxy, and engine logs. The reduced trace model already exposed `upstream_request_id`, but it was being populated from the Responses API `response.id`. That value is useful for `previous_response_id` chaining, but it is not the transport request id that upstream systems key on. This PR separates those concepts so trace consumers can reliably answer both questions: - which Responses API response did this inference produce? - which upstream request handled it? ## Structure The change keeps the upstream request id at the same lifecycle level as the provider stream: - `codex-api` captures the `x-request-id` HTTP response header when the SSE stream is created and exposes it on `ResponseStream`. Fixture and websocket streams set the field to `None` because they do not have that HTTP response header. - `codex-core` carries that stream-level id into `InferenceTraceAttempt` when recording terminal stream outcomes. Completed, failed, cancelled, dropped-stream, and pre-response error paths all record the id when it is available. - `rollout-trace` now records both identifiers in raw terminal inference events and response payloads: `response_id` for the Responses API `response.id`, and `upstream_request_id` for `x-request-id`. - The reducer stores both fields on `InferenceCall`. It also uses `response_id` for `previous_response_id` conversation linking, which removes the old accidental dependency on the misnamed `upstream_request_id` field. - Terminal inference reduction now consumes the full terminal payload (`InferenceCompleted`, `InferenceFailed`, or `InferenceCancelled`) in one place. That keeps status, partial payloads, response ids, and upstream request ids consistent across success, failure, cancellation, and late stream-mapper events. ## Why This Shape `x-request-id` is a property of the HTTP/provider response envelope, not an SSE event. Capturing it once in `codex-api` and plumbing it through terminal trace recording avoids trying to infer the value from stream contents, and it preserves the id even when the stream fails or is cancelled after only partial output. Keeping `response_id` separate from `upstream_request_id` also makes the reduced trace model less surprising: `response_id` remains the conversation-continuation id, while `upstream_request_id` is the operational correlation id for upstream debugging. ## Validation The PR updates trace and reducer coverage for: - reading `x-request-id` from SSE response headers; - storing the true upstream request id on completed inference calls; - preserving upstream request ids for cancelled and late-cancelled inference streams; - keeping `previous_response_id` reconstruction tied to `response_id` rather than transport request ids.
cassirer-openai ·
2026-04-28 21:11:17 +00:00 -
[codex] Trace cancelled inference streams (#19839)
Records cancelled inference streams when Codex stops consuming a provider response before `response.completed`, preserving complete output items observed before cancellation. Also closes still-running inference calls when the owning turn ends, so reduced rollout traces do not leave stale `Running` inference nodes. Covered by focused reducer coverage and a core stream-drop test for partial output preservation.
cassirer-openai ·
2026-04-27 21:58:29 +00:00 -
Add goal app-server API (2 / 5) (#18074)
Adds the app-server v2 goal API on top of the persisted goal state from PR 1. ## Why Clients need a stable app-server surface for reading and controlling materialized thread goals before the model tools and TUI can use them. Goal changes also need to be observable by app-server clients, including clients that resume an existing thread. ## What changed - Added v2 `thread/goal/get`, `thread/goal/set`, and `thread/goal/clear` RPCs for materialized threads. - Added `thread/goal/updated` and `thread/goal/cleared` notifications so clients can keep local goal state in sync. - Added resume/snapshot wiring so reconnecting clients see the current goal state for a thread. - Added app-server handlers that reconcile persisted rollout state before direct goal mutations. - Updated the app-server README plus generated JSON and TypeScript schema fixtures for the new API surface. ## Verification - Added app-server v2 coverage for goal get/set/clear behavior, notification emission, resume snapshots, and non-local thread-store interactions.
Eric Traut ·
2026-04-24 20:53:41 -07:00 -
permissions: make profiles represent enforcement (#19231)
## Why `PermissionProfile` is becoming the canonical permissions abstraction, but the old shape only carried optional filesystem and network fields. It could describe allowed access, but not who is responsible for enforcing it. That made `DangerFullAccess` and `ExternalSandbox` lossy when profiles were exported, cached, or round-tripped through app-server APIs. The important model change is that active permissions are now a disjoint union over the enforcement mode. Conceptually: ```rust pub enum PermissionProfile { Managed { file_system: FileSystemSandboxPolicy, network: NetworkSandboxPolicy, }, Disabled, External { network: NetworkSandboxPolicy, }, } ``` This distinction matters because `Disabled` means Codex should apply no outer sandbox at all, while `External` means filesystem isolation is owned by an outside caller. Those are not equivalent to a broad managed sandbox. For example, macOS cannot nest Seatbelt inside Seatbelt, so an inner sandbox may require the outer Codex layer to use no sandbox rather than a permissive one. ## How Existing Modeling Maps Legacy `SandboxPolicy` remains a boundary projection, but it now maps into the higher-fidelity profile model: - `ReadOnly` and `WorkspaceWrite` map to `PermissionProfile::Managed` with restricted filesystem entries plus the corresponding network policy. - `DangerFullAccess` maps to `PermissionProfile::Disabled`, preserving the “no outer sandbox” intent instead of treating it as a lax managed sandbox. - `ExternalSandbox { network_access }` maps to `PermissionProfile::External { network }`, preserving external filesystem enforcement while still carrying the active network policy. - Split runtime policies that legacy `SandboxPolicy` cannot faithfully express, such as managed unrestricted filesystem plus restricted network, stay `Managed` instead of being collapsed into `ExternalSandbox`. - Per-command/session/turn grants remain partial overlays via `AdditionalPermissionProfile`; full `PermissionProfile` is reserved for complete active runtime permissions. ## What Changed - Change active `PermissionProfile` into a tagged union: `managed`, `disabled`, and `external`. - Keep partial permission grants separate with `AdditionalPermissionProfile` for command/session/turn overlays. - Represent managed filesystem permissions as either `restricted` entries or `unrestricted`; `glob_scan_max_depth` is non-zero when present. - Preserve old rollout compatibility by accepting the pre-tagged `{ network, file_system }` profile shape during deserialization. - Preserve fidelity for important edge cases: `DangerFullAccess` round-trips as `disabled`, `ExternalSandbox` round-trips as `external`, and managed unrestricted filesystem + restricted network stays managed instead of being mistaken for external enforcement. - Preserve configured deny-read entries and bounded glob scan depth when full profiles are projected back into runtime policies, including unrestricted replacements that now become `:root = write` plus deny entries. - Regenerate the experimental app-server v2 JSON/TypeScript schema and update the `command/exec` README example for the tagged `permissionProfile` shape. ## Compatibility Legacy `SandboxPolicy` remains available at config/API boundaries as the compatibility projection. Existing rollout lines with the old `PermissionProfile` shape continue to load. The app-server `permissionProfile` field is experimental, so its v2 wire shape is intentionally updated to match the higher-fidelity model. ## Verification - `just write-app-server-schema` - `cargo check --tests` - `cargo test -p codex-protocol permission_profile` - `cargo test -p codex-protocol preserving_deny_entries_keeps_unrestricted_policy_enforceable` - `cargo test -p codex-app-server-protocol permission_profile_file_system_permissions` - `cargo test -p codex-app-server-protocol serialize_client_response` - `cargo test -p codex-core session_configured_reports_permission_profile_for_external_sandbox` - `just fix` - `just fix -p codex-protocol` - `just fix -p codex-app-server-protocol` - `just fix -p codex-core` - `just fix -p codex-app-server`Michael Bolin ·
2026-04-23 23:02:18 -07:00 -
[rollout_trace] Add debug trace reduction command (#18880)
## Summary Adds the debug CLI entry point for reducing recorded rollout traces. This gives developers a direct way to inspect whether the emitted trace stream reduces into the expected conversation/runtime model. ## Stack This is PR 5/5 in the rollout trace stack. - [#18876](https://github.com/openai/codex/pull/18876): Add rollout trace crate - [#18877](https://github.com/openai/codex/pull/18877): Record core session rollout traces - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and code-mode boundaries - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions and multi-agent edges - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace reduction command ## Review Notes This PR is intentionally last: it depends on the trace crate, core recorder, runtime/tool events, and session/agent edge data all existing. The command should remain a debug/developer tool and avoid adding new runtime behavior. The useful review question is whether the CLI exposes the reducer in the smallest practical way for local inspection without turning the debug command into a supported user-facing workflow.
cassirer-openai ·
2026-04-24 01:56:48 +00:00 -
[rollout_trace] Trace tool and code-mode boundaries (#18878)
## Summary Extends rollout tracing across tool dispatch and code-mode runtime boundaries. This records canonical tool-call lifecycle events and links code-mode execution/wait operations back to the model-visible calls that caused them. ## Stack This is PR 3/5 in the rollout trace stack. - [#18876](https://github.com/openai/codex/pull/18876): Add rollout trace crate - [#18877](https://github.com/openai/codex/pull/18877): Record core session rollout traces - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and code-mode boundaries - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions and multi-agent edges - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace reduction command ## Review Notes This PR is about attribution. Reviewers should focus on whether direct tool calls, code-mode-originated tool calls, waits, outputs, and cancellation boundaries are recorded with enough source information for deterministic reduction without coupling the reducer to live runtime internals. The stack remains valid after this layer: tool and code-mode traces reduce through the existing crate model, while the broader session and multi-agent relationships are added in the next PR.
cassirer-openai ·
2026-04-23 12:22:11 -07:00 -
[rollout_trace] Record core session rollout traces (#18877)
## Summary Wires rollout trace recording into `codex-core` session and turn execution. This records the core model request/response, compaction, and session lifecycle boundaries needed for replay without yet tracing every nested runtime/tool boundary. ## Stack This is PR 2/5 in the rollout trace stack. - [#18876](https://github.com/openai/codex/pull/18876): Add rollout trace crate - [#18877](https://github.com/openai/codex/pull/18877): Record core session rollout traces - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and code-mode boundaries - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions and multi-agent edges - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace reduction command ## Review Notes This layer is the first live integration point. The important review question is whether trace recording is isolated from normal session behavior: trace failures should not become user-visible execution failures, and recording should preserve the existing turn/session lifecycle semantics. The PR depends on the reducer/data model from the first stack entry and only introduces the core recorder surface that later PRs use for richer runtime and relationship events.
cassirer-openai ·
2026-04-22 17:00:48 +00:00 -
[rollout_trace] Add rollout trace crate (#18876)
## Summary Adds the standalone `codex-rollout-trace` crate, which defines the raw trace event format, replay/reduction model, writer, and reducer logic for reconstructing model-visible conversation/runtime state from recorded rollout data. The crate-level design is documented in [`codex-rs/rollout-trace/README.md`](https://github.com/openai/codex/blob/codex/rollout-trace-crate/codex-rs/rollout-trace/README.md). ## Stack This is PR 1/5 in the rollout trace stack. - [#18876](https://github.com/openai/codex/pull/18876): Add rollout trace crate - [#18877](https://github.com/openai/codex/pull/18877): Record core session rollout traces - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and code-mode boundaries - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions and multi-agent edges - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace reduction command ## Review Notes This PR intentionally does not wire tracing into live Codex execution. It establishes the data model and reducer contract first, with crate-local tests covering conversation reconstruction, compaction boundaries, tool/session edges, and code-cell lifecycle reduction. Later PRs emit into this model. The README is the best entry point for reviewing the intended trace format and reduction semantics before diving into the reducer modules.
cassirer-openai ·
2026-04-21 21:54:05 +00:00