_is_azure_foundry_responses matches the azure-foundry provider or the
project-scoped services.ai.azure.com host. #101243 proposes narrowing it
to that host alone. The multi-item rejection this branch handles happens
on resource-level *.openai.azure.com hosts too, so the pruning gate now
uses _is_azure_responses: the provider, or either Azure host.
Refs #105369
The first request of every turn after the first replays the encrypted
reasoning item of every earlier response. Azure Foundry accepts one such
item and rejects two or more with HTTP 400 "Conflicting authenticated
continuation identities". In-turn requests never hit this because
_is_post_tool_replay already suppresses replay on Azure when the request
ends on a tool result.
On Azure Foundry, build_kwargs now keeps codex_reasoning_items only on the
newest assistant row that has any. include still requests
reasoning.encrypted_content, compaction checkpoints stay on every row, and
the canonical messages are not mutated. Other Responses endpoints are
unchanged.
Rebuilding a failed session from state.db through the transport and
sending it live: unpatched, 5 reasoning items, 400; patched, 1 item, 200.
Fixes#105369
Every direct-API (api.openai.com) Astra request raised
``TypeError: Responses.create() got an unexpected keyword argument 'prompt_cache_options'``
before reaching the network: openai 2.24.0's Responses.create has no such parameter and no
**kwargs, and neither send path relocates it into extra_body. The PR's tests stopped at
build_kwargs/preflight so the SDK boundary was never crossed.
OpenAI's prompt-caching guide states ``prompt_cache_options.ttl`` accepts only ``30m`` and that
``30m`` is the default, so the field carried no information: sending nothing yields the same
cache lifetime. The sanitizer now only removes what the API rejects (none/minimal effort,
sampling/logprob knobs, the pre-5.6 ``prompt_cache_retention``) and never adds a field, which
also keeps the request body byte-stable for the cache prefix.
Also: none/minimal→low no longer needs a bespoke {"", "none", "disabled", "off"} set —
``clamp_effort`` against CODEX_ASTRA_EFFORTS already resolves to the floor (``low``); and the
auxiliary adapter derives ``is_codex_backend`` from ``classify_responses_route`` (the declared
single owner of that predicate) instead of re-implementing the host test inline.
Tests reshaped to contracts: the two proxy/subdomain cases collapse into one parametrised
"exact host only" test asserting effort and temperature pass through untouched.
The Sep 2026 decomposition (PR #102117) makes internal import paths a non-API: names now live in
the focused modules that define them. This commit is the ONLY thing keeping the old paths alive,
so external plugins have time to update. It is deliberately a single, unsquashed commit:
git revert <this sha>
removes every shim, stub and manifest at once on the announced date. Nothing in-tree may depend on
these pointers: scripts/check_compat_pointers.py (wired into lint.yml) fails CI if it does.
What it adds (see COMPAT_MANIFEST.md, compat_manifest.json):
- 332 facade modules get one delimited `PLUGIN-COMPAT` block appended at the end of the file
- 1,172 moved names resolved lazily via a module `__getattr__` (PEP 562) — never a top-level import,
so no import cycles; facades that already had `__getattr__` get a chained one
- 592 third-party/stdlib names the old modules used to expose, with their original import statements
- 266 public definitions that had been deleted as unused, restored byte-for-byte from the pre-decomposition
tree (+40 private helpers and 16 imports pulled in only because a restored definition needs them)
- 3 deleted modules recreated as re-export stubs (gateway/startup_watchdog, hermes_cli/observability/
relay_runtime, tools/environments/modal_utils)
- private names (`_x`) get no pointer: they were never API (3,792 skipped)
Verified: all 335 touched modules import under a fresh HERMES_HOME and every manifest name resolves;
the lint reports zero in-tree uses; ruff clean; targeted suites unchanged.
run_agent.py: delete the `# noqa: F401` re-export block (agent.process_bootstrap
OpenAI/_SafeWriter/_get_proxy_*, model_tools get_tool_definitions/
handle_function_call/check_toolset_requirements, FailoverReason,
_qwen_portal_headers/_routermint_headers, session_persistence names,
estimate_request_tokens_rough, ContextCompressor + friends, jittered_backoff,
prompt_builder names, message_sanitization names, tool_dispatch_helpers
names) — 41 names run_agent never used itself — and the `_STREAM_DIAG_HEADERS`
back-compat class alias (no in-tree reader). run_agent now imports only what
it uses (get_toolset_for_tool, is_local_endpoint, coalesce/uniquify tool-call
ids, cleanup_vm/get_active_env from terminal_tool_lifecycle).
agent/*: `_ra().X` late-binds that only reached a re-export now import the
defining module directly (agent_runtime_helpers -> process_bootstrap.OpenAI,
model_tools.handle_function_call, session_persistence._safe_session_filename_component;
agent_init -> model_tools.get_tool_definitions/check_toolset_requirements,
_lazy_headers("agent.client_lifecycle", ...) for qwen/routermint;
system_prompt -> agent.prompt_builder / model_tools directly, dropping its
own _ra() shim and the `_r` parameter threading). `_ra()` stays for
run_agent-resident names (logger, AIAgent, _hermes_home, _set_interrupt, ...).
toolsets.py: remove resolve_multiple_toolsets (shim-only, restored by
34abf954bd); tests/test_toolsets.py pins the same union behavior via
resolve_toolset over each name.
providers/__init__.py: drop the OMIT_TEMPERATURE re-export (no callers via the
package); ProviderProfile stays because __init__ uses it for annotations —
2 tests repointed to providers.base.
agent/iteration_budget.py: drop the "run_agent re-exports the class"
docstring pointer; 4 tests import IterationBudget from its home.
model_tools.py (arg_coercion names), agent/tool_executor.py, and
hermes_cli/cli_session_mixin.py repoints landed via a sibling commit on this
shared worktree.
Callers repointed: gateway/run.py, hermes_cli/cli_chat_turn_mixin.py,
hermes_cli/cli_tui_mixin.py, tui_gateway/session_workdir.py,
agent/transports/codex.py (one-line imports) + comment pointers in
tools/file_state.py, tools/schema_sanitizer.py, scripts/tool_search_livetest.py.
Tests: patch("run_agent.X") / monkeypatch.setattr(run_agent, "X") /
`from run_agent import X` -> defining module across 99 test files.
For each issue anchor present in BASE 63279301bc non-test .py and absent on HEAD, the BASE comment/docstring block was re-attached at the HEAD location of the code it explained (matched by the distinctive code line / enclosing def). Sentences already covered by an existing HEAD comment were deduped; the issue number always survives. Insert-only: no code lines changed.
Hardens the two #95003 alias carriers per review feedback on #95019/#95011:
- _alias_reserved_tools / _rename_tool_search_bridge_for_xai now return the
alias map THIS request emitted; the transport stashes it
(_last_wire_aliases) and normalize_response reverses ONLY those aliases.
A real user/plugin/MCP tool named hermes_tool_search is never silently
dispatched as tool_search when no alias was sent.
- Collision safety: if a real tool already occupies the alias name, the
bridge takes hermes_tool_search_2/_3 — no duplicate wire declarations.
- Legacy static reverse map retained only for normalize-only call sites
that never built a request on the transport instance.
- chat_completion_helpers resets provenance per request so stale maps from
a prior request can't leak into the next response's dispatch.
Refs #95003
xAI reserves the function name `tool_search` for Grok's native
server-side Tool Search and rejects the client declaration outright:
HTTP 400 {"code":"invalid-argument","error":"The function name
tool_search is reserved for the tool_search tool"}
Hermes's progressive-disclosure bridge registers exactly that literal
(`TOOL_SEARCH_NAME` in tools/tool_search.py) and assembly is not
provider gated, so with the default `tools.tool_search.enabled: auto`
every grok turn fails the moment the catalog crosses the threshold —
mid-session, which reads to the user as a session reset.
Same treatment as the two collisions already handled on this
transport (xAI `web_search` #48108, OpenCode reserved names #85589):
alias to `hermes_tool_search` on the wire in build_kwargs, map back in
normalize_response so Hermes dispatch and the bridge contract are
untouched. `tool_describe` / `tool_call` are not reserved by xAI and
are left alone.
Folds the per-provider rename helpers into one `_alias_reserved_tools`
owner parameterized by the reserved-name tuple, and extends the
existing `_RESERVED_ALIAS_TO_NAME` reverse map so the dispatch-side
un-aliasing needs no new branch.
Scope note: this covers the Responses transport, which is where every
api.x.ai route lands by default (`_fallback_api_mode` maps api.x.ai →
codex_responses, and the xai provider profile declares it). An xAI
model forced onto `api_mode: chat_completions` would still hit the
400; that path has no provider-specific tool rewriting today and would
need the symmetric hook in agent/transports/chat_completions.py. Happy
to add it here if you'd rather have both in one change.
Tests: new TestXaiReservedToolSearchAlias covering the wire alias,
non-xAI backends keeping the canonical name, composition with the
native web_search swap, and the normalize_response round trip.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012vLaAmnsdii3Gm9jMDs5gw
- Tavily plugin deleted (plugins/web/tavily), keyless endpoints and
ring entry removed from keyless_mcp, legacy backend set / credential
ladder / preference walks / rescue key map scrubbed.
- TAVILY_API_KEY deregistered across config, setup, status, dump, and
nous_subscription surfaces. The tvly- redaction pattern stays --
legacy keys in user envs still deserve masking.
- Sibling test pins migrated (keenable/exa stand in where tavily was
the fixture vendor); tavily test suite deleted.
- Docs updated: web-search, configuration, integrations,
environment-variables, tools-reference, web-dashboard, provider
plugin dev guide.
Live-verified from an isolated HERMES_HOME with all web creds blanked:
zero-config resolution lands in the 4-vendor ring, live keyless ring
search succeeds, no tavily anywhere in resolution order.
Review findings on salvaged #93548: _warm_efforts_async now returns
early under PYTEST_CURRENT_TEST (matching the canonical OpenRouter caps
warmer) so a test that forgets to monkeypatch it can't fire live HTTP
when RAMP_ROUTER_API_KEY is set; the codex transport's fail-open
except in _profile_declared_efforts logs at debug instead of silently
swallowing profile-hook bugs.
Addresses the automated review on this PR:
- _profile_declared_efforts falls back from provider name to the
endpoint's host (via model_metadata's URL->provider map), so a named
custom provider pointed at api.router.com — which the host mandate
already routes onto this transport — gets the catalog clamp instead
of the default vocabulary and a Router 400.
- _parse_efforts validates catalog levels against EFFORT_LADDER at
ingest, logging and dropping unrecognized tiers; a model whose whole
vocabulary is unrecognized stays out of the map (transport defaults)
instead of passing the requested effort through unclamped.
- fetch_models dedupes ids while preserving Router's deliberate listing
order.
- plugin.yaml credits the human contributor per repo convention.
Ramp Router is an OpenAI Responses-compatible LLM gateway at
https://api.router.com/v1 that routes each request across upstream
providers (OpenAI, Anthropic, xAI, Fireworks, ...) with server-side
fallbacks and spend controls. Nous asked for a PR adding it as a
provider, so:
- plugins/model-providers/router/: RouterProfile plugin —
api_mode=codex_responses, RAMP_ROUTER_API_KEY auth,
RAMP_ROUTER_BASE_URL override, live account-scoped catalog via
GET /v1/models (no hardcoded fallback_models: IDs are key-scoped and
Router's docs mandate runtime catalog reads).
- hermes_cli/providers.host_mandated_api_mode +
runtime_provider._detect_api_mode_for_url: api.router.com ->
codex_responses. The host is Responses-only — POST /v1/chat/completions
does not exist and 404s — so this is a genuine host mandate (exact
hostname match per #32243, mirroring the api.meta.ai precedent).
- providers/base.py: new overrideable supported_reasoning_efforts(model)
hook (tri-state: None=defer, ()=model takes no reasoning params,
tuple=clamp set). Router validates reasoning.effort per model and
returns HTTP 400 invalid-argument on levels outside the model's
published vocabulary, and 400 unsupported_parameter when a
non-reasoning model receives any reasoning field (both verified live).
The profile answers from a cached copy of the catalog's
router.capabilities.reasoning block: cache-only on the hot path,
seeded for free by fetch_models(), disk-mirrored across processes
(/cache/router_catalog.json), background-warmed when cold
— same design as the OpenRouter reasoning-caps clamp on the chat path.
- agent/transports/codex.py: consult the profile-declared vocabulary in
the generic effort-clamp branch (xai/actual/github branches untouched;
profiles that do not override the hook see no behavior change).
- cli-config.yaml.example + adding-providers.md + providers/README.md:
document the provider, the host mandate, and the new hook.
- tests: behavior contracts for the host mandate/URL detection/spoof
rejection, profile registration + auth auto-registry wiring, catalog
parsing, and transport clamp/suppression/fallback paths.
Verified live against api.router.com (Aug 2026): one-shot chat,
streaming SSE, tool calls + parallel_tool_calls, encrypted-reasoning
replay on OpenAI-served models, function_call_output follow-up turns on
OpenAI- and Fireworks-served models; store:false / prompt_cache_key /
include:[reasoning.encrypted_content] / reasoning.summary accepted
across backends; effort clamp confirmed to convert a would-be 400
(xhigh on o3) into a successful request via the disk mirror.
The reuse reviewer found a third copy of the fc_->call_ synthesis in
agent/transports/codex.py _pair_ids (item_id[3:] spelling, which is why
the len('fc_') grep missed it). All three sites now share
_canonical_call_id_from_fc(), keeping the pairing invariant in one place.
The Aug 16 change that auto-raised gpt-5.4/5.6 Codex OAuth context to the
live-verified 900K burned through subscription usage for users who never
asked for the larger window (bigger window = more input tokens per request).
- Base Codex slugs (gpt-5.6-sol/terra/luna, gpt-5.4) now resolve to the
advertised 272K again — the cheaper limit is the default.
- The model picker synthesizes explicit <slug>-900k variants (e.g.
gpt-5.6-sol-900k) for every live-verified slug; selecting one opts into
the 900K window. Slugs that genuinely enforce 272K (gpt-5.5,
gpt-5.4-mini) get no variant.
- The -900k suffix is Hermes-side only: stripped before the model id hits
the wire (main transport + auxiliary Responses adapter), and pricing
aliases the variants onto the base entries.
- Docs: new opt-in section in context-compression-and-caching.md.
Builds on @Lesnak1's #85619 (issue #85589):
- New opencode_provider_family() single-owner predicate in
hermes_cli/models.py — resolves built-in AND custom family providers
(opencode-go-bridge, OpenCode-Zen-Custom, ...) case-insensitively.
Migrated all 8 inlined family checks (models.py x3, runtime_provider.py
x4 from the salvaged commits) plus 4 sibling sites the PR missed:
cli.py api_mode sync, agent_runtime_helpers.py double-/v1 guard,
model_normalize.py flat-namespace strip, model_switch.py base_url
normalization.
- Responses transport: alias OpenCode-reserved function names
(web_search, search_files -> hermes_*) on the wire and map them back on
dispatch — same pattern as the xAI web_search collision fix. Matches
family providers and any base_url on opencode.ai. Fixes the HTTP 400
'custom function name X is reserved' half of #85589.
- Tests: custom-provider routing assertions + 5 new transport alias tests.
Live probes against api.openai.com/v1/responses (Aug 2026):
- gpt-5.6: accepts none/low/medium/high/xhigh/max; rejects minimal, ultra
- gpt-5.5: accepts none/low/medium/high/xhigh; rejects max ('Unsupported
value'), minimal, ultra
So #68365's premise was half right: 'max' does 400 — but only on pre-5.6
models; blanket-clamping max->xhigh on gpt-5.6 (its fix) would have capped
the one model that supports max. The declared-vocabulary design absorbs
this as data: codex_supported_efforts(model) picks CODEX_GPT56_EFFORTS or
CODEX_LEGACY_EFFORTS, and the shared clamp does the rest. Both the main
Codex transport and the auxiliary client's Responses path use it.
Wire outcomes: ultra -> max on gpt-5.6, ultra/max -> xhigh on gpt-5.5/o5,
minimal -> low everywhere.
The #89503/#70058/#74295/#87279 bug class kept regenerating because every
transport and provider profile hand-rolled its own effort translation map
(9 sites, 4 distinct policies). New agent/reasoning_effort.py is the single
source of truth:
- EFFORT_LADDER: canonical low->high ordering (superset check against
VALID_REASONING_EFFORTS pinned by test)
- clamp_effort(): one policy — supported passes verbatim, otherwise nearest
WEAKER supported level (never escalate, never invert the ladder), floor
when nothing weaker, 'none' never a degradation target, declared
vendor-documented overrides win, bespoke names pass through
- declared wire vocabularies as data: OpenAI-compat, Codex Responses,
xAI (4.6/legacy), Actual relays, Kimi K3/K2, TokenHub, GLM-5.2,
DeepSeek V4, Ollama Cloud, Meta, Solar
Converted sites (all behavior-preserving except noted):
- chat_completions chokepoint, Kimi + TokenHub paths
- codex transport (backend branches now pick a declared set)
- auxiliary_client Responses path
- hermes_cli.models clamp_reasoning_effort_to_supported -> thin wrapper
- plugins: kimi-coding, zai, opencode-zen, deepseek, ollama-cloud,
meta-ai, upstage, custom (copilot already routes via the wrapper)
Behavior fixes the shared policy surfaces:
- ollama-cloud/opencode-go 'minimal' now degrades to 'low' instead of
being dropped (drop left the server default = MORE thinking than asked)
New tests: ladder contract (every configurable level is clamped by every
declared wire set; monotonicity across the full ladder for every set).
The chat_completions chokepoint fix (ultra->max for every model,
cherry-picked from #89509) has siblings with the same bug shape:
- codex.py: ultra->max was gated on gpt-5.6 only; now baseline for all
Responses-API models (backend-specific branches still override).
- Kimi top-level reasoning_effort: K3 accepts low/high/max only —
'medium' and upper-ladder levels were dropped to the medium default
(400s on K3, ladder inversion on K2). Full ladder mapped per family,
mirroring the kimi-coding plugin's K3 map.
- TokenHub: 'minimal' fell through to the 'high' default (asked least,
got most); full ladder now mapped onto low/medium/high.
- auxiliary_client Responses path: ultra->max alongside the existing
minimal->low clamp.
- custom provider plugin: ultra capped at max instead of forwarded
verbatim to GLM/vLLM/SGLang backends that reject it.
- copilot plugin: ad-hoc downgrade rules replaced with the shared
clamp_reasoning_effort_to_supported ladder walk so ultra/max resolve
to the strongest supported level instead of medium (#74295).
Sabotage-verified: new sibling-site tests fail 6/10 without the fixes.
- hermes_cli/providers.host_mandated_api_mode: add exact-hostname clause for
api.meta.ai → codex_responses (measured 0% cache on /chat/completions vs
93-99% on /responses with retention); update docstring.
- hermes_cli/runtime_provider._detect_api_mode_for_url: mirror clause for
api.meta.ai (exact hostname, #32243) to keep runtime resolver in lockstep.
- agent/agent_init: call host_mandated_api_mode early in api_mode cascade
(after explicit api_mode wins, before provider-name specials) via lazy
import; single source of truth, preserves user override.
- agent/transports/codex._default_prompt_cache_retention_for_request: return
24h for api.meta.ai unconditionally; build_kwargs setdefault preserves
override; Bedrock branch untouched.
- cli-config.yaml.example: add commented providers.meta example (api_mode
auto-detected).
- website/docs/developer-guide/adding-providers.md: list Meta alongside
Codex/xAI as codex_responses native provider with retention note.
- tests: add hermetic behavior-contract suites for mandate, retention,
content-addressed prompt_cache_key, reasoning passthrough, AIAgent init,
usage cache reporting, model-switch override, and config roundtrip; extend
test_model_switch_openai_api_mode with meta cases.
- prompt_cache_scope: memo key now includes DB presence (a lazily attached
_session_db re-resolves instead of staying pinned to the physical id);
_persist_disabled agents (background-review forks that never get a DB row)
memoize the fallback instead of re-querying the lineage per API call;
module docstring cross-references get_conversation_root and why the two
lineage resolvers must not be deduplicated.
- chat_completion_helpers: hoist the triplicated
_prompt_cache_scope_for_agent(agent) call to a single local above the
OpenAI-wire dispatch (after the anthropic/bedrock early returns, which
don't use prompt_cache_key).
- codex transport docstring: x-client-request-id mirrors the derived body
key, not the raw scope id.
- turn_context comment: acknowledge the first-turn pre-persist fallback.
- tests: +2 (persist-disabled memoization; lazy DB attach re-resolution).
Legacy compaction mode (compression.in_place: false) rotates the physical
session_id mid-conversation. The prompt-cache scope introduced in #79161 was
derived from that physical id, so every rotation moved the same conversation
into a fresh cache bucket - the prompt cache went cold at every rotation
boundary (#79017).
Fix: resolve a rotation-stable logical scope - the compression-lineage ROOT
of the current session (SessionDB.get_compression_lineage, fork-aware
post-#79193) - once per turn, memoized per transcript segment, and prefer it
over the physical session_id at every prompt_cache_key derivation site:
- agent/prompt_cache_scope.py (new): resolve_prompt_cache_scope(agent) -
lineage-root walk with per-segment memo; falls back to the physical id
when no DB is attached or the walk fails, degrading to pre-fix behavior.
- transports/codex.py: build_kwargs accepts cache_scope_id and prefers it
for the body prompt_cache_key, the xAI x-grok-conv-id header, and the
Codex x-client-request-id routing header. The Codex session_id header
keeps the raw physical id (transcript identity, #57012 contract).
- transports/chat_completions.py: _add_prompt_cache_key accepts
cache_scope_id with the same precedence.
- chat_completion_helpers.py: build_api_kwargs threads the resolved scope
into all three build_kwargs call sites (codex, profile, legacy).
- auxiliary_client.py: set_runtime_main carries cache_scope; the aux
Responses cache-key site prefers it over the physical session_id.
- turn_context.py: resolves the scope once per turn and threads it through
set_runtime_main (no DB walk on the per-API-call hot path).
Scope semantics preserved from #79161: /new starts a fresh scope (new
lineage), /branch children, delegate subagents, and tool children stay
isolated (explicit-fork exclusion in get_compression_lineage), unrelated
sessions keep distinct buckets, and cron per-fire timestamps still
normalize via _cache_scope_from_session_id.
Default installs compact in place (session_id never rotates), so they hit
the memo and produce byte-identical keys to before.
Fixes#79017
A captured native-compaction checkpoint lives in the persisted
codex_reasoning_items sidecar, but the wire restructure that follows it
(prune_pre_checkpoint_items) ran unconditionally: the native gate only
decided whether context_management went into the request, and no signal
from it ever reached _chat_messages_to_responses_input.
So a single checkpoint kept deleting every pre-checkpoint item from all
later requests — after a mid-session swap out of the gpt-5.6 family,
after compression.enabled: false, after the rejection kill switch, and
after a session resume that reloads the sidecar from state.db. The model
receiving the opaque blob was no longer the one able to decode it, and
nothing was logged.
Thread a single native_compaction_eligible boolean, derived from the same
value that gates the context_management field, into the converter. When
ineligible: do not replay type: "compaction" items and do not prune. Safe
because native compaction never truncates Hermes' local history, so the
fallback still carries the full conversation.
All Responses call sites are covered: build_kwargs and convert_messages
derive the flag via _native_compaction_active, the auxiliary/compression
client is explicitly ineligible, and the converter defaults to False
(pre-feature wire) so future call sites are safe by construction.
Fixes#85914
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Azure Foundry's OpenAI-compatible Responses surface rejects the post-tool
follow-up payload with HTTP 400 `invalid_payload` when a replayed encrypted
`reasoning` item is sent alongside `function_call` / `function_call_output`.
The initial function-call request and ordinary multi-turn continuity are both
accepted, so the failure only appears after the first tool executes.
Detect the Foundry endpoint in `ResponsesApiTransport.build_kwargs` and drop
only the encrypted reasoning replay on that follow-up turn, leaving
function_call / function_call_output continuity intact.
Salvage of #59981, rebuilt on current main. Same root cause and fix direction
as the original, which was correct; this version resolves three defects:
- No `chat_completion_helpers.py` change. main already forwards `provider`
and `base_url` to the Responses transport, so the original's re-added
arguments produced `SyntaxError: keyword argument repeated: provider` on
merge. Dropping the hunk removed the syntax error and the conflict.
- Host matching uses `utils.base_url_host_matches`, not a substring test.
`".services.ai.azure.com" in base_url` also matches URLs carrying the
domain in a path or query segment, which would silently disable reasoning
replay on an unrelated provider.
- The post-tool predicate tests the trailing messages, not the whole history.
Scanning for any tool call plus any tool result made it sticky: one tool
call early in a conversation suppressed reasoning on every later turn.
- Tool calls pair on `call_id` as well as `id`. Responses histories carry the
function call id in `call_id` while `id` holds the response item id
(`fc_...`). Identity is resolved via the converter's own
`_split_responses_tool_id`, covering composite `"call_x|fc_y"` ids and bare
`fc_` ids on both sides of the pairing.
Tests: 27 cases across the transport and the live `build_api_kwargs` bridge,
including six parametrized tool-call id shapes, non-Foundry host lookalikes,
the sticky-history guard, parallel tool results, and an unpaired tool result.
Each guard was confirmed to catch its defect by reverting the fix.
Verified with `scripts/run_tests.sh tests/agent/ tests/run_agent/`:
532 files, 5602 tests passed, 0 failed.
Not verified against a live Azure Foundry endpoint — no credentials. The
original HTTP 400 reproduction and post-fix Foundry Project / Azure Container
Apps harness runs are @AshuJoshi's, from #59981. This change is verified at
the payload-construction layer only.
Closes#59981.
Co-authored-by: Ashu Joshi <AshuJoshi@users.noreply.github.com>
Opt-in via compression.codex_responses_native (default: false). When enabled,
gpt-5.6-family models on the direct OpenAI API (api.openai.com) or a ChatGPT
Codex subscription send context_management=[{type: compaction,
compact_threshold: N}] on Responses requests. OpenAI compacts server-side and
returns an encrypted compaction output item; Hermes captures it into the
existing codex_reasoning_items sidecar and replays it on later turns in place
of the pruned history — inheriting persistence, session replay, the
cross-issuer guard, and the encrypted-replay kill switch with zero new state.
Scope is deliberately hard-gated (agent/native_compaction.py, re-checked per
request): gpt-5.6 family only — gpt-5.1/5.2 fail server-side on the field
(HTTP 500 / stream stall, no structured rejection; live-verified) — and
direct OpenAI/Codex routes only; xAI, GitHub/Copilot, OpenRouter, relays,
and local servers never see the field.
Hermes' local compression stays armed as the fallback owner: the native
threshold is clamped ~8K tokens below the local trigger so the server
compacts first, and a structured provider rejection of context_management
disables native compaction for the session and retries without it
(one-shot guard in TurnRetryState).
Live-verified E2E on api.openai.com/gpt-5.6: server compaction fired at a
4K threshold, checkpoints captured and replayed, recall preserved across
3 turns; gpt-5.1 with the flag enabled stays clean (field never sent).
Direction credit: PR #76950 by @laryhorb explored native Responses
compaction; this is a minimal reimplementation on current main.
Cherry-picked from PR #78959 by @JoaoMarcos44 with authorship preserved.
Follow-up: hoist _cache_scope_from_session_id(session_id) to a local in
build_kwargs so it's computed once instead of 4 times per call.
Closes#78941. Closes#79012. Closes#79013. Closes#79014. Closes#79015.
Co-authored-by: JoaoMarcos44 <joaomarcosdias444@gmail.com>
Drop the manual web.search_backend / web.backend config-reading block
that duplicated _read_config_key in web_search_registry.py. The function
now delegates directly to get_active_search_provider() (which reads the
same config keys via the registry's canonical resolver) and falls back
to _get_search_backend() only when the registry has no providers loaded.
Also updates the TestXaiWebSearchBackendPreference tests to monkeypatch
the registry instead of load_config_readonly, and adds two new tests for
the legacy fallback path (no provider registered -> _get_search_backend).
When Grok runs on xAI Responses, only swap to native server-side
web_search when the active/configured backend is xai. For Firecrawl
and other Hermes providers, keep client dispatch under a renamed wire
tool so Grok cannot hijack web_search and ignore user config.
OpenAI documents GPT-5.5 / GPT-5.5 Pro as extended-cache-only: in-memory
prompt cache retention is not available for them, and only
prompt_cache_retention: "24h" is supported. Responses requests that omit
the field see near-zero cached_tokens even with a stable prompt_cache_key
and identical prefixes (observed on an OpenAI-compatible Responses relay:
0 cached across repeated identical calls before; 97% cache reads after).
Send the field for the gpt-5.5 model family (bare and namespaced ids like
openai.gpt-5.5) on OpenAI-compatible Responses routes, mirrored in the
auxiliary Codex adapter, and pass it through preflight normalization.
Skipped for xAI, GitHub/Copilot, and the chatgpt.com Codex backend, which
reject or ignore body-level cache fields.
Fold #62349's broader provider-boundary handling into the header fix: bound top-level and xAI override keys again at preflight after middleware, preserve unrelated headers, and cover boundaries and collisions.
Co-authored-by: Nick Taylor <nicktaylor@TheWorldofNick-Lappy.local>
Map Codex Responses status=incomplete with incomplete_details.reason=content_filter to finish_reason=content_filter so the existing refusal/fallback path runs instead of burning incomplete continuation attempts.
Justin Bennington