The first checkpoint removed terminal-metrics discovery, but a normal
compact chat turn still ran two context systems: build_chat_context's
legacy untyped lookup (directly or inside maybe_compact) and the typed
resolver inside stream_preview.
Resolve the typed ContextResolution once, at the chat route, before
build_chat_context, using the session's provider credentials. The
predicate mirrors _clean_v3_preview; every input it needs is known at
that point and the native-workspace term cannot veto a requested clean
route. The same object then:
- sizes legacy history shaping in build_chat_context through a new
maybe_compact(context_length=...) override, so no legacy probe runs;
an unknown window still shapes with DEFAULT_CONTEXT but gains no
provenance;
- crosses stream_agent_loop (one new parameter, forwarded only at the
compact dispatch) into stream_preview, which reuses it and probes only
for callers that arrive without one or with one bound to another
route.
ContextResolution now records the endpoint and model it describes
(endpoint URL excluded from repr and metrics). The bare legacy
context_length is never converted into typed evidence.
Credential scoping: origins compare with default ports normalized, an
empty host is never trusted, and the probe client never follows
redirects. Tests cover the configured origin, the server-resolved
Tailscale form, scheme/port/lookalike/userinfo/path origins, redirects,
and secret-free errors, logs and metrics.
The conftest guard now replaces only the resolver's I/O edges (HTTP
client and DNS-capable URL building) instead of the whole probe, and
exposes a context_probe_ledger fixture, so route integration tests run
the real resolver offline and can count metadata requests.
The compact (clean v3) runtime had no effective context window: it learned a
limit only reactively from a provider 400/413 and its terminal metrics carried
no context_length. PR #41 addressed the reporting gap by probing provider
metadata between the last model byte and [DONE], unauthenticated, and folded
known-table and endpoint evidence into one "known" flag.
Resolve the window once, before the first model request, instead:
- src/agent_runtime/context_resolution.py adds a typed ContextResolution
(effective value, evidence class, source, all observations, conflicts,
provider_io, cached, secret-free probe errors). Evidence classes stay
distinct: runtime_confirmed (llama.cpp /slots, /props, or a limit the
provider stated this turn), provider_advertised (models catalog),
operator_declared (client_runtime_context.model_context_window),
known_table, unknown (0, never a default).
- Selection is deterministic: runtime beats provider beats table; an
operator declaration caps measured evidence and replaces weaker evidence.
Disagreements are recorded as conflicts; a declaration below a measured
value is a cap, above it a contradiction.
- The provider probe forwards the turn's credentials only to the provider's
own origin, runs URL resolution off the event loop, is bounded by one
deadline, never raises, and caches remote results per credential
fingerprint (shorter TTL for failures; local servers are re-probed).
- stream_preview resolves at preparation (or accepts a supplied resolution),
seeds the proactive trim budget from it when evidence is not unknown, and
terminal metrics report only the stored resolution plus any limit the
provider stated during the turn. Metrics perform no discovery.
src/agent_loop.py and the regular runtime's legacy model_context probe are
unchanged. A conftest guard keeps tests that drive the compact runtime with
placeholder endpoints from performing real DNS/HTTP lookups.
- Headless consumers (task scheduler, background follow-up) now treat a
completion-gate final_response as the authoritative answer instead of
collecting deltas only. A gated replacement no longer leaves scheduled
output empty, which used to trigger an extra, ungated grace-summary
model call.
- The scheduler closes the agent stream with contextlib.aclosing, so the
approval-pause break unwinds the gate's journal and teacher-takeover
context in its own task. Chained runs no longer inherit a stale
parent_run_id, and later finalization no longer raises ContextVar
reset errors.
- On provider error, the completion gate applies the live answer's
statement filter to persisted round_texts. Diagnostics and the failure
note survive; claims rejected by the gate cannot reappear on reload.
The R09 scholarly hardening routes every hop through check_outbound_url with
block_private=True. On a DNS64/NAT64 network, an IPv4-only host can resolve
through the RFC 6052 Well-Known Prefix. For example, export.arxiv.org resolved
to 64:ff9b::924b:5b2a in the reproduced environment.
CPython classifies that outer IPv6 prefix as reserved, so the URL guard rejected
the request before examining the effective IPv4 destination.
Decode addresses in exactly 64:ff9b::/96 to their embedded IPv4 destination and
evaluate that destination under the strict outbound policy.
The translated target is always checked with private-address blocking enabled.
This prevents the NAT64 prefix from becoming a path to loopback, private,
shared/CGNAT, link-local, multicast, unspecified, or other non-global IPv4
space.
Network-specific translation prefixes are not decoded. In particular,
64:ff9b:1::/48 remains subject to the existing IPv6 policy.
Coverage includes:
- public IPv4 destinations embedded through the RFC 6052 prefix
- loopback, link-local, private, CGNAT, multicast, unspecified, benchmark, and
TEST-NET rejection
- network-specific NAT64 prefixes remaining undecoded
- deterministic scholarly provider tests without live DNS dependence
- redirect query parameter isolation
- relative redirect resolution
- HTTP error fallback behavior
- editor draft GET and DELETE behavior remaining unaffected
R09, R11, and R01 were independently audited and otherwise left unchanged.
- Enforce outbound URL policy on all hops via bounded manual redirects in scholarly lookups
- Guard declared Content-Length in EditorDraftRoute before request body parsing
- Keep scholarly lookup timeouts and budgets as internal constants rather than surface env vars
- Narrow TUI threat-model description around demonstrable host shell bridge behavior
- Add behavioral regression tests for redirect security and pre-parsing body size guards
* refactor(model-routing): centralize explicit foreground fallback policy
Make foreground fallback an explicit per-user, availability-only policy shared by streaming Chat, non-stream Chat, and Agent runs.
Preserve strict defaults, owner/model and credential boundaries, pinned Agent routes, and truthful per-round provenance/accounting. Carry provider-reported model identifiers through native streaming adapters, non-stream responses, and caches, and keep legacy default_model_fallbacks as tombstoned raw storage that generic settings APIs and agent tools cannot expose or mutate.
* fix(agent-loop): restore rebase-dropped qwen routing, workspace prompt, and temperature clamp
* fix(model-routing): thread selected endpoint identity, fix cost classification and fallback eligibility
* fix(chat): restore stream helpers and harden run stop lifecycle
* fix(model-routing): let numeric provider codes win over symbolic rate-limit statuses
* fix(agent-loop): apply qwen temperature and notes-tool clamps per fallback candidate
* fix(chat): honor queued stop across resend and reload canonical terminal on EOF
* fix(chat): track stop queue and cleanup ownership by per-send generation
* fix(agent-loop): preserve requested temperature for non-qwen fallback candidates
* fix(chat): reserve send ownership before any await and scope stop to the current send
* fix(chat): clear the previous run identity at send reservation
---------
Co-authored-by: RaresKeY <158580472+RaresKeY@users.noreply.github.com>
Co-authored-by: StressTestor <212606152+StressTestor@users.noreply.github.com>
Replace substring OpenAI endpoint detection with exact parsed-host matching.
Route gallery image endpoint construction through a constant path allowlist.
Remove client-visible exception and upstream response body leaks from gallery image flows while preserving diagnostics in server logs.
Add focused regression tests for OpenAI host matching, checked endpoint joining, harmonize SSRF hardening, and sanitized client errors.
Alexandre Teixeira