- Add prompt_audit_events.full_prompt (migration 182) so admins can review
the exact unredacted prompt that triggered a finding; blocking mode writes
it from the snapshot, async mode reconstructs it from the Redis scan
payload so jobs rows stay redaction-only
- Event detail API returns full_prompt (list endpoint stays lean); text is
NUL-stripped and capped at 65536 runes
- Detail dialog shows the full prompt in a scrollable pane with fallback to
the legacy redacted preview; page copy updated to match the new behavior
- Rework filter deletion into a dedicated dialog with time-range presets and
criteria-change preview invalidation; localize decision/risk/category
labels across the events workspace
- Fix pre-existing i18n message-compile spec by declaring the
@intlify/message-compiler dev dependency
Let admins configure private/intranet Guard endpoints without destination-class blocking, and fix prompt-audit switch layout so thumbs and labels no longer overlap.
Co-authored-by: Cursor <cursoragent@cursor.com>
The Anthropic→Responses streaming converter omits two things the OpenAI
Responses wire format requires, which breaks clients that reconstruct the
response from the event stream (rather than just reading deltas).
1. response.content_part.added is never emitted.
A message item is opened with content: [], and the OpenAI SDK's
accumulating stream helper (client.responses.stream) only appends a
content part when it sees content_part.added. Without it, the next
output_text.delta indexes output.content[content_index] and raises:
File "openai/lib/streaming/responses/_responses.py", line 352,
in accumulate_event
content = output.content[event.content_index]
IndexError: list index out of range
Raw iteration (responses.create(stream=True)) does not accumulate and is
unaffected, which is why this went unnoticed.
2. response.completed carries Output: []ResponsesOutput{}.
get_final_response() and tracing integrations parse the terminal event's
response directly, so callers see an empty output_text even though the
deltas streamed correctly. This one is invisible when only watching the
stream render.
Also carries the full text on output_text.done / content_part.done (deltas
carry increments only, done events carry the whole part) and fills in
content/arguments/summary on output_item.done, which had the same
empty-payload issue.
Reproduced against a live Anthropic-platform group with the openai Python
SDK 2.46.0; Arize Phoenix's playground hits the same path. Verified before
(IndexError) and after (full text via get_final_response()).
Adds regression tests covering event ordering, done-event payloads, and the
terminal event's output for both text and tool calls.
Behind a reverse proxy (e.g. nginx with X-Real-IP), admin audit logs and
session IP/UA binding always recorded 127.0.0.1 because they hardcoded
the gin trusted_proxies chain, while API key IP restriction already
honored the "trust forwarded client IP" system setting.
- add ip.GetSecurityClientIP(c, trustForwarded) as the single source of
truth for security-sensitive client IP selection; API key auth
middlewares (main + google) refactored onto it with zero behavior change
- SessionBindingContext(cfg) now resolves the client IP via the same
toggle and injects it into the request context; token issuance,
binding enforcement and its mismatch audit record all read the
injected value, so issue/verify can never diverge
- audit log middleware and audit-log clear trace record the same
security client IP (middleware.SecurityClientIP), falling back to the
trusted proxy chain when the injection is absent
- settings UI hint (zh/en) documents the broadened toggle scope and the
one-time re-login after toggling while session binding is enabled
With the toggle off (default) behavior is byte-for-byte unchanged.
Co-Authored-By: Claude <noreply@anthropic.com>
Scan client-injected assistant/tool/model turns, fail closed when config cannot
be trusted after startup or stale invalidation, reuse probe tokens only for the
same base URL, and restrict localhost dials to loopback addresses.
Co-authored-by: Cursor <cursoragent@cursor.com>
superman2003