MemoryManager.get_all_tool_schemas() output was appended to AIAgent.tools
unconditionally — bypassing the enabled_toolsets / platform_toolsets filter.
Setting `platform_toolsets: telegram: []` had no effect: fact_store and other
memory provider tools still leaked into the tool surface on every session.
Impact on local models (per @thundercat49's benchmarks on Qwen3-30B-A3B Q4_K_M /
RTX 3090): tool-formatted prompts process at 134 tok/s vs 1,230 tok/s for plain
text. With 8 memory tool schemas injected, a simple 'hello' on Telegram took
~42s instead of ~1.7s. Small models also entered tool-call loops when memory
tools were the only tools present.
Gate condition (matches the natural meaning of enabled_toolsets):
None → no filter, inject (backward compat)
contains 'memory' → user opted in, inject
otherwise (including []) → skip injection
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Reported by @LikiusInik in Discord: on Termux only 3 built-in skills
appeared and /gh-pr-workflow + every other slash-skill from
github/productivity/mlops was missing.
Root cause: skill_matches_platform() compares sys.platform.startswith()
against the skill's platforms list. Termux is a Linux userland on
Android, but Python 3.13+ reports sys.platform == "android" instead of
"linux" — so the ~60 built-in skills tagged platforms:[linux,macos,
windows] (github-pr-workflow, google-workspace, github-auth,
huggingface-hub, etc.) all got filtered out at the listing step in
tools/skills_tool.py:_find_all_skills and never appeared as /slash
commands or in skill_view.
Fix: when is_termux() detects we're running inside Termux, accept
"linux" platform tags regardless of whether sys.platform is "linux"
(pre-3.13) or "android" (3.13+). Also accept explicit
platforms:[termux] / [android] tags. macOS-only and Windows-only
skills correctly remain excluded.
E2E (simulated TERMUX_VERSION=set + sys.platform="android"):
Before: _find_all_skills() returned ~3 skills.
After: _find_all_skills() returns 84 skills including
github-pr-workflow, google-workspace, github-auth,
huggingface-hub. Apple-only skills remain excluded.
Non-Termux Linux/macOS/Windows behavior unchanged (verified).
Tests: tests/agent/test_skill_utils.py — 9 new cases covering
android-as-Termux, the [linux,macos,windows] case, macOS-only
exclusion, explicit termux/android tags, non-Termux Android safety,
and unchanged behavior on real Linux/macOS.
* fix(skills): skip dependency dirs in skill scan
* fix(skills): widen sibling rglob scanners to use shared exclusion set
Follow-up to PR #29968. The contributor's PR widened EXCLUDED_SKILL_DIRS
in the canonical walker (iter_skill_index_files), which fixes the
user-visible discovery path. This commit sweeps the ~12 other
rglob('SKILL.md') sites that did their own ad-hoc filtering — most only
checked .git/.hub, some had no filter at all — so dependency dirs
(.venv, node_modules, site-packages, etc.) cannot leak ghost skills
through the secondary paths.
Adds agent.skill_utils.is_excluded_skill_path(path) helper. Migrates
all 13 sites to use it. Removes 3 hardcoded duplicate filter sets.
Sites touched:
agent/curator_backup.py - skill backup file count
gateway/run.py - disabled-skill response (2 sites)
hermes_cli/dump.py - skill count in env dump
hermes_cli/profile_describer.py- profile description (2 sites)
hermes_cli/profile_distribution.py - profile install count
hermes_cli/profiles.py - profile skill count
hermes_cli/skills_hub.py - category detection
tools/skill_manager_tool.py - skill name lookup (already used set, now uses helper)
tools/skill_usage.py - usage tracking + skill dir lookup (2 sites)
tools/skills_hub.py - optional skills find + scan (2 sites)
tools/skills_sync.py - bundled skills sync
E2E verified with the exact reported shape
(bring/scripts/.venv/.../typer/.agents/skills/typer/SKILL.md): no
sibling site picks up the ghost skill, all five legit-skill counts
still return 1.
* chore(infographic): retro-pop-grid bento for PR #30042 skill-scanner sweep
---------
Co-authored-by: helix4u <4317663+helix4u@users.noreply.github.com>
* feat(secrets): Bitwarden Secrets Manager integration with lazy bws install
Pull API keys from Bitwarden Secrets Manager at process startup
instead of storing them all in plaintext in ~/.hermes/.env. One
bootstrap token (BWS_ACCESS_TOKEN) replaces N per-provider keys, and
rotating a credential becomes a single change in the Bitwarden web
app.
Bitwarden defaults to source of truth: secrets pulled from BSM
overwrite any matching env vars on startup so rotations actually
take effect. Set secrets.bitwarden.override_existing: false in
config.yaml to invert.
The bws binary is auto-downloaded into ~/.hermes/bin/bws on first
use (pinned to v2.0.0, SHA-256 verified against the GitHub release
checksum file). No apt, brew, or sudo required.
New surfaces:
hermes secrets bitwarden setup — interactive wizard
hermes secrets bitwarden status — config + binary + token state
hermes secrets bitwarden sync — dry-run fetch / --apply exports
hermes secrets bitwarden disable — flip enabled: false
hermes secrets bitwarden install — just download the binary
Failures (missing binary, bad token, no network) never block Hermes
startup — they emit a one-line warning to stderr and continue with
whatever credentials .env already had.
Docs: website/docs/user-guide/secrets/{index,bitwarden}.md
Tests: tests/test_bitwarden_secrets.py (26 tests, hermetic — bws
subprocess and HTTP downloads fully mocked)
* chore(infographic): add bitwarden-secrets-manager bento-grid retro-pop-grid
Generated for PR #30035 — Bitwarden Secrets Manager integration.
Style picked via pick_pr_infographic_style.py rotation:
layout: bento-grid
style: retro-pop-grid
aspect: 1:1 square
Saved at infographic/bitwarden-secrets-manager/infographic.png
Allow custom OpenAI-compatible providers declared under `custom_providers:`
to set provider-specific `extra_body` fields and have Hermes merge them into
chat-completions requests when the matching custom endpoint is active.
This is a manual per-provider override rather than a model-name heuristic.
OpenAI-compatible Gemma thinking support is real, but the on-wire payload
shape is backend-specific: some servers want top-level `enable_thinking`,
while vLLM Gemma and NIM-style endpoints expect `chat_template_kwargs`.
A per-provider override is safer than picking one assumed payload.
Example config:
```yaml
custom_providers:
- name: gemma-local
base_url: http://localhost:8080/v1
model: google/gemma-4-31b-it
extra_body:
enable_thinking: true
reasoning_effort: high
```
For vLLM Gemma or NIM-style endpoints, use the nested shape those servers
expect:
```yaml
extra_body:
chat_template_kwargs:
enable_thinking: true
```
Changes:
- `hermes_cli/config.py`: preserve `extra_body` in normalized
`custom_providers:` entries and allow it in the validated field set.
- `hermes_cli/runtime_provider.py`: propagate custom-provider `extra_body`
as `request_overrides.extra_body` for named custom runtime resolution,
including credential-pool paths.
- `agent/agent_init.py`: at agent init, locate the matching custom-provider
entry by `base_url` (+ optional model) and merge its `extra_body` into
`AIAgent.request_overrides`, with caller-provided overrides winning on
conflicting top-level keys.
- `plugins/model-providers/custom/__init__.py`: keep existing CustomProfile
behavior (Ollama `num_ctx`, `think=False` when reasoning disabled);
user-configured `extra_body` flows through `request_overrides`.
- `website/docs/integrations/providers.md`: document the explicit
`extra_body` override and the vLLM/Gemma `chat_template_kwargs` variant.
- Tests cover config normalization, runtime propagation, model matching,
trailing-slash equivalence, fallback when no `model` field is set, and
caller-override merging precedence.
Verified end-to-end against `CustomProfile` via `ChatCompletionsTransport`:
configured `extra_body` reaches `kwargs.extra_body` on the wire request,
and coexists with profile-generated entries (Ollama `num_ctx`, `think=False`)
without clobber.
Salvaged from #29022 onto current `main`. Cosmetic typing edit in
`plugins/model-providers/custom/__init__.py` and a stale-base docs revert
in `providers.md` were dropped during cherry-pick.
Closes#29022
- Replace 18-line comment block with 3-line invariant statement
- Trim test docstrings from multi-paragraph to single-line summaries
- Trim assertion messages from 4-line to 2-line mismatch reports
- Replace 5-line WHAT comments in stubs with 1-line WHY comments
- Add ziliangdotme@gmail.com -> ziliangpeng to AUTHOR_MAP
## Summary
The background skill/memory-review fork constructed a child `AIAgent`
without propagating `enabled_toolsets` / `disabled_toolsets` from the
parent. When the parent narrowed its toolset (via `hermes tools
disable` or `config.yaml`), the fork's default `enabled_toolsets=None`
expanded to "all registered tools" — and the fork's outbound request
body sent a wider `tools[]` array than the parent's main-turn request.
Anthropic's prompt-cache key includes the `tools[]` array byte-for-byte,
so this divergence forked the cache lineage on every nudge and forced a
full prefix rewrite. On a captured ~4 hour Claude-via-Hermes session
this cost roughly 4.3 M cache-write tokens — about half of those
attributable to the per-nudge alternation between the main turn's
narrowed `tools[]` and the review fork's wider `tools[]`.
## Goal
Extend the byte-stability invariant established by PR #17276 (which
fixed `system`) to the `tools[]` slot of the request body, so the
review fork's outbound request hits the parent's warmed Anthropic
prefix cache regardless of how the parent's toolset is configured.
## Implementation
Two-line change in `agent/background_review.py`: pass
`enabled_toolsets=getattr(agent, "enabled_toolsets", None)` and the
matching `disabled_toolsets` kwarg into the `AIAgent(...)` call inside
`_spawn_background_review`. Adds an explanatory block comment that
calls out the cache-key dependency and the relationship to PR #17276.
The post-construction runtime whitelist
(`set_thread_tool_whitelist({memory, skills})`) is untouched — it
still gates which tools the model is allowed to *dispatch*. This
change aligns only what the request body *transmits*, not what the
review is allowed to do, so the safety contract from issue #15204
remains intact.
## Testing
- `tests/run_agent/test_background_review_cache_parity.py`: new
`test_review_fork_inherits_parent_toolset_config` asserts the
parent's `enabled_toolsets` and `disabled_toolsets` reach the
review-fork constructor as kwargs.
- `tests/run_agent/test_background_review_toolset_restriction.py`:
the existing `test_background_review_does_not_narrow_toolset_schema`
was inverted (its old "must NOT pass enabled_toolsets" rule was
built on the assumption that the parent always ran with the
registry default — wrong in practice when the parent is narrowed).
Renamed to `test_background_review_matches_parent_toolset_config`
and updated to assert the parent's value propagates verbatim.
- Verified the new positive test fails without the fix and passes
with it.
- Full suite for `test_background_review*`:
```
$ python -m pytest tests/run_agent/test_background_review.py \
tests/run_agent/test_background_review_summary.py \
tests/run_agent/test_background_review_toolset_restriction.py \
tests/run_agent/test_background_review_cache_parity.py -q
18 passed in 1.85s
```
## Scope
- `agent/background_review.py`: 2 added kwargs + explanatory comment.
- Two test files: one new positive test, one inverted existing test.
- No production code paths outside the review fork; no schema changes;
no public-API changes.
Refs: ziliangpeng/hermes-agent#1 (root-cause analysis with wire-level
cache-write measurements). Extends PR #17276's `system`-bytes
invariant to the `tools[]` slot.
build_write_denied_paths() resolved the protected ``.env`` via
get_hermes_home(), which is profile-aware. When a profile is active
HERMES_HOME points at ``<root>/profiles/<name>`` and ``hermes_home / ".env"``
expands to the *profile* env file only — the global ``<root>/.env`` is left
off the deny list and a write_file call against it succeeds. Since the
top-level .env supplies credentials inherited by every profile, this is a
P0 credential-exfiltration / overwrite path.
Add a parallel ``_hermes_root_path()`` helper that returns the Hermes root
(via the existing ``get_default_hermes_root()`` constant) and include
``<root>/.env`` in the deny list alongside ``<active_profile>/.env``. Both
paths now refuse write_file/patch regardless of profile state. The active
HERMES_HOME .env entry is preserved so the protection in non-profile mode
is unchanged.
A regression test exercises the profile-active scenario by pointing
HERMES_HOME at ``<tmp>/profiles/coder`` and asserting that ``<tmp>/.env``
is denied.
Fixes#15981
The contributor PR (#17936) only patched the strip path in
`_model_supports_vision()`. The auto-mode router in
`agent/image_routing._lookup_supports_vision` still only read models.dev,
so a custom-provider model declared as vision-capable would still get its
images routed through vision_analyze in the default `agent.image_input_mode:
auto` setting. Users had to set both `supports_vision: true` AND
`image_input_mode: native` to bypass the text pipeline.
Single-knob behavior now: `supports_vision: true` alone is enough in auto
mode. The strip path and the routing path consult the same resolver.
- Extract override resolution into `_supports_vision_override()` in
agent/image_routing.py and wire it into `_lookup_supports_vision()`.
- Refactor `run_agent._model_supports_vision` to call the same helper
(DRY, single source of truth for the resolution order).
- Strict YAML boolean coercion: `supports_vision: "false"` (quoted —
a common YAML mistake) no longer coerces to True via bool() truthiness.
Recognised tokens: true/false/yes/no/on/off/1/0 plus real bools and 0/1.
Unrecognised values return None and fall through to models.dev.
- Add @CNSeniorious000 to AUTHOR_MAP for release attribution.
Tests: 26 new (TestCoerceCapabilityBool, TestSupportsVisionOverride,
TestLookupSupportsVisionOverride, TestAutoModeRespectsOverride). Existing
contributor tests + image_routing + vision_native_fast_path +
native_image_buffer_isolation all green (92/92).
xAI partner integration requires Hermes to thread `encrypted_content`
reasoning items back to the Responses API on every turn so Grok can
maintain cross-turn reasoning coherence. PR #26644 (May 15) gated this
off for `is_xai_responses` on the theory that the OAuth/SuperGrok
surface rejected replayed encrypted blobs and produced the multi-turn
"Expected to have received \`response.created\` before \`error\`"
failure. That diagnosis was wrong — the prelude-SSE fallback added in
the same PR is what actually fixed that failure mode. Suppressing the
replay was an unnecessary side-effect that broke the whole point of
xAI's partnership integration.
Changes:
- agent/codex_responses_adapter.py — drop the `is_xai_responses` gate
in `_chat_messages_to_responses_input`. Keep the kwarg in the
signature for transport compatibility; update the docstring to
document the May 2026 reversal.
- agent/transports/codex.py — restore
`kwargs["include"] = ["reasoning.encrypted_content"]` on the xAI
Responses path so xAI echoes encrypted reasoning back to us.
- tests/run_agent/test_codex_xai_oauth_recovery.py — flip the three
xAI assertions (now: xAI MUST receive replayed reasoning AND we MUST
include encrypted_content in the request).
- tests/agent/transports/test_codex_transport.py — flip the
`include` assertions on `test_xai_reasoning_effort_passed` and
`test_xai_grok_4_omits_reasoning_effort`; update the allowlist
block comment.
The prelude-SSE fallback and the entitlement-403 surfacing fixes from
#26644 are untouched — they were independent fixes that happened to
ride along with the reasoning-replay gate.
Validation:
- Targeted: tests/run_agent/test_codex_xai_oauth_recovery.py +
tests/agent/transports/test_codex_transport.py → 65/65 pass
- Broader: tests/agent/transports/ + tests/run_agent/ →
1674 passed, 3 skipped, 0 failures
- E2E (real imports, isolated HERMES_HOME, ResponsesApiTransport
build_kwargs): turn-1 request carries
`include: ["reasoning.encrypted_content"]`; turn-2 input replays
the encrypted_content blob from turn-1's
`codex_reasoning_items`; native Codex unchanged.
Five call sites do os.chmod(path.parent, 0o700) without checking that
the parent resolves to a safe directory. If HERMES_HOME or another
path env var resolves to /, the chmod strips traversal permission from
the root inode and bricks the entire host.
Add secure_parent_dir() to hermes_constants.py that refuses to chmod
/ or any top-level directory (depth < 2). Replace all 5 call sites
with this helper.
Fixes#25821
PR #29182 deleted the per-session JSON snapshot writer outright because
state.db is canonical and the snapshots had no in-tree consumer. Some
users have external tooling that reads `~/.hermes/sessions/session_{sid}.json`
directly, so reintroduce the writer behind a config flag that defaults
to off.
- Add `sessions.write_json_snapshots` (default False) to DEFAULT_CONFIG
- Restore `AIAgent._save_session_log` + `_clean_session_content` as
gated methods. When the flag is off the call is a fast no-op; when
on, the writer behaves as before (atomic write, truncation guard
preserved, REASONING_SCRATCHPAD → think tag normalization)
- Re-derive the target path from `agent.session_id` on each call so
`/branch` and `/compress` re-points happen automatically — no need
to restore the explicit re-point bookkeeping at call sites
- Wire the single call site in `_persist_session` (the cleanup-on-exit
hook). Did NOT restore the 7 intra-turn calls the original PR deleted
— those were redundant writes within the same turn that doubled disk
I/O without adding any persistence guarantee `_persist_session` does
not already provide
- Read the flag once at agent init via `load_config()`, cache as
`agent._session_json_enabled`
- Update `TestNoSessionJsonSnapshot` → `TestSessionJsonSnapshotOptIn`
to pin behavior: default off (no file), opt-in true (file written),
no-op method on default agents, logs_dir retained unconditionally
- Update CONTRIBUTING.md and the bundled `hermes-agent` skill to
document the flag and its default
state.db now stores every message field the JSON snapshot stored. Removed
the method, all 7 call-sites, and ~13 test stubs that suppressed its file I/O.
Body is in git history if it ever needs to come back.
The 'tool_name' key on role=tool messages is an internal Hermes field
(stored in the messages.tool_name SQLite column for FTS indexing) that
is not part of the OpenAI Chat Completions schema. Strict OpenAI-compatible
providers — notably Moonshot AI (Kimi) — reject it with HTTP 400:
Error from provider: Extra inputs are not permitted,
field: 'messages[N].tool_name', value: 'execute_code'
Add 'tool_name' to the sanitize block in ChatCompletionsTransport.convert_messages
alongside the existing Codex Responses API fields (codex_reasoning_items,
codex_message_items) so it is popped before the request is sent.
Reproducer:
hermes chat --model kimi-k2.6
> list the top 5 Hacker News stories
-> assistant emits tool_call(execute_code)
-> tool result message gets tool_name='execute_code'
-> next turn's payload includes messages[N].tool_name -> 400
Permissive backends (MiniMax, OpenRouter on most routes) ignore the extra
field and were masking the bug.
`AIAgent.__init__` was eagerly calling
`_check_compression_model_feasibility()` which probes the auxiliary
provider chain and runs `get_model_context_length()` (potentially
network-bound) to decide whether the configured auxiliary model can
fit a full compression-threshold window. That cost ~440ms cold on
every agent construction.
Most `chat -q` invocations finish in 1-5 seconds and never accumulate
enough context to trip the compression threshold, so the feasibility
check is pure overhead. The result is also only consumed when
compression actually fires (the function adjusts the live threshold
downward if the aux model can't fit; absent that mutation, the gate
in `conversation_loop.py:442` would never fire anyway).
Defer to first `compress_context()` call via
`agent._compression_feasibility_checked` sentinel. Runs at most once
per agent lifetime, just before the first compression pass. The
warning storage (`_compression_warning`) and gateway replay
machinery is unchanged — it still emits to status_callback on the
first turn that actually needs compression.
E2E timing (chat -q 'hi', 3 runs each):
BEFORE AFTER delta
median wall 2.03s 1.86s -8% (-169ms)
min wall 1.92s 1.63s -15% (-293ms)
Real cold-start observation (synthetic 31-turn agent loop): identical
behavior since feasibility check fires once on first compression and
caches. No semantic difference for sessions that DO compress.
UX trade-off: users with broken auxiliary-provider config no longer
see the warning at session start. They see it when compression first
fires — which is exactly when it matters. For users with working
config (the vast majority), the warning never fires anyway, so the
deferral is invisible.
Tests:
- tests/run_agent/test_compression_feasibility.py — 16/16 pass
(the one test that asserted call-at-init was updated to drive the
lazy check explicitly via agent._check_compression_model_feasibility())
- Live tmux session: 2-turn conversation + tool call completes clean,
zero errors in agent.log
XAI_BASE_URL / HERMES_XAI_BASE_URL let users repoint the OAuth-authenticated
inference endpoint, but the env override was an unguarded credential-leak
vector: a tampered .env or hostile shell init setting
XAI_BASE_URL=https://attacker.example/v1 would silently ship the SuperGrok
OAuth bearer to a third party on every request.
Add _xai_validate_inference_base_url() that pins the host to x.ai or a
*.x.ai subdomain and rejects non-HTTPS. On rejection, fall back to the
default with a warning rather than raise — a bad env var should not
deadlock auth, but should never leak the bearer either.
Apply at all three sites that read the env override for xai-oauth:
- hermes_cli/auth.py resolve_xai_oauth_runtime_credentials (main path)
- hermes_cli/auth.py _xai_oauth_loopback_login (initial login)
- agent/auxiliary_client.py _resolve_xai_oauth_for_aux (aux client)
E2E validated against four scenarios: attacker.example, lookalike
api.x.ai.evil.com, http:// downgrade on api.x.ai, and legit custom.x.ai
subdomain (which still resolves correctly).
Discovered while comparing against the opencode-grok-auth plugin
(github.com/ysnock404/opencode-grok-auth), which highlighted the same
guard on the OpenCode side.
* perf(config): add load_config_readonly() fast path for hot agent loop
`load_config()` is called from the agent loop's per-API-call hot path via
`get_provider_request_timeout()` and `get_provider_stale_timeout()` —
both invoked once per turn from `_resolved_api_call_timeout()` in
run_agent.py.
Profiling a synthetic 20-tool-call agent run revealed:
- 21 invocations of `load_config()` cumulating 56ms (~17% of agent loop)
- 34,398 deepcopy calls totaling 37ms (config defensive deepcopy + chain)
- 8,652 `_expand_env_vars` invocations (~412 per turn)
Microbench (cache-hit, real config.yaml present):
load_config() 265us/call (125us deepcopy + 140us infra)
load_config_readonly() 138us/call (~48% faster)
`load_config_readonly()` returns the cached dict directly without the
defensive deepcopy. Documented contract: caller must not mutate. Returns
plain dict (not MappingProxyType) so downstream `isinstance(x, dict)`
guards keep working — caught during initial implementation when
MappingProxyType broke get_provider_request_timeout's guard logic.
Wired into hermes_cli/timeouts.py (the two functions called per agent
turn). load_config() is unchanged for the 263 other call sites that
mutate the result before save_config(), are not in the hot path, or
where the safety guarantee matters more than the perf.
Profile A/B (cached config, 21-turn agent loop):
BEFORE AFTER delta
get_provider_request_timeout 55ms 16ms -71%
total function calls 399k 160k -60%
deepcopy calls (in hotspots) 34,398 ~0 ~elim
Verified:
- isinstance(load_config_readonly(), dict) is True
- timeout/stale resolutions correct
- load_config() still returns isolated mutable deepcopies
- tests/hermes_cli/test_config*.py / test_timeouts.py: 102/102 pass
- tests/cli/ + tests/agent/test_auxiliary_client.py: 883/883 pass
* perf(redact): substring pre-screens skip non-matching regex chains
Every log record passes through `RedactingFormatter.format` which calls
`redact_sensitive_text`, which historically ran ALL 13 secret-pattern
regexes against every line — including DB connection strings, JWTs,
Discord mentions, Signal phone numbers, etc. — even for typical clean
log records like 'INFO run_agent: API call completed'.
Add cheap substring pre-checks before each regex pass. False positives
still run the regex (which then matches nothing); false negatives are
impossible because every pattern requires the gated substring to match
its leading anchor:
- `_PREFIX_RE` gated on any of 33 known credential prefix substrings
- `_ENV_ASSIGN_RE` gated on `=` in text
- `_JSON_FIELD_RE` gated on `:` and `"` in text
- `_AUTH_HEADER_RE` gated on `uthorization`/`UTHORIZATION` in text
- `_TELEGRAM_RE` gated on `:` in text
- `_PRIVATE_KEY_RE` gated on `BEGIN` and `-----`
- `_DB_CONNSTR_RE` gated on `://` in text
- `_JWT_RE` gated on `eyJ` in text
- URL userinfo/query gated on `://`
- `_redact_form_body` gated on `&` and `=`
- `_DISCORD_MENTION_RE` gated on `<@`
- `_SIGNAL_PHONE_RE` gated on `+`
Microbench (5 typical log records, 20k iterations each):
BEFORE AFTER delta
redact_sensitive_text per call 5.63us 1.79us -68%
Real-world impact: ~244 log records emitted in a 30-turn agent loop, so
the chain saves ~1ms of CPU per conversation. Bigger win is the
reduction in regex execution and GC pressure during heavy logging
sessions (verbose logging, gateway message processing).
Security regression test: 30 secret-containing inputs (sk-/ghp_/JWT/DB
connstr/Auth-Bearer/private key/URL userinfo/Discord/Signal/etc.)
verified to produce identical redacted output before/after. All 75
existing tests/agent/test_redact.py cases pass.
The `?access_token=foo&code=bar` (bare query string, no scheme) case
that 'leaks' is pre-existing behavior — the URL query redaction
requires a well-formed URL with scheme+host. Not a regression.
* perf(run_agent): cache _needs_thinking_reasoning_pad result per (provider, model, base_url)
Profile of a 31-turn synthetic agent run shows `_needs_thinking_reasoning_pad`
fires 495 times (~16 per turn) and each call ran 3 helper methods, each
hitting `base_url_host_matches` 1-4 times via `urlparse`. Total cost:
3,342 base_url_host_matches calls + 3,373 urlparse calls accounting for
~36ms of agent-loop overhead (~7% of the entire post-network work).
Provider / model / base_url don't change during a conversation except via
`switch_model` and fallback activation — both of which already overwrite
those attributes atomically. Cache the result on a tuple key; since the
key is derived from the very fields that would change, the cache
auto-invalidates on the next read after a switch. No manual invalidation
needed in switch_model / _try_activate_fallback.
Profile A/B (31-turn cached-config agent run):
BEFORE AFTER delta
_needs_thinking_reasoning_pad cum 18ms 1ms -94%
_copy_reasoning_content_for_api cum 17ms 1ms -94%
base_url_host_matches calls 3,342 372 -89%
urlparse calls 3,373 403 -88%
total function calls 296k 223k -25%
Verified:
- tests/run_agent/test_deepseek_reasoning_content_echo.py: 36/36 pass
- tests/run_agent/ (full): 1383/1383 pass + 3 skipped
Introduces make_tool_result_message() in tool_dispatch_helpers.py as the
single place where tool-result message dicts are built. All six construction
sites in tool_executor.py, agent_runtime_helpers.py, and mini_swe_runner.py
now use it, so tool_name is set in memory from the moment a message is
created rather than relying on fallback logic in the flush paths.
Fixes blank tool_name in both state.db and JSON session logs.
Adds tests.
Follow-up to #28452. detect_stale_running() was calling
_record_task_failure() on every reclaim, which ticked the
consecutive_failures counter. With the default failure_limit=2,
two legitimately long-running tasks (>4 h without explicit
heartbeat) would auto-block via the spawn-failure circuit
breaker — even though no worker actually failed.
Stale reclaim is dispatcher-side absence-of-heartbeat detection,
not a worker fault. Removed the _record_task_failure() call;
the 'stale' event in task_events is still the audit surface,
but the failure counter is now reserved for spawn_failed /
timed_out / crashed (real failures).
Also documents the heartbeat requirement:
- KANBAN_GUIDANCE in agent/prompt_builder.py now states the
rule ('call kanban_heartbeat at least once an hour for tasks
running longer than 1 hour') so workers learn the contract.
- kanban.md adds the stale event row to the events table and
flags the heartbeat requirement in the worker lifecycle list.
New regression test: test_detect_stale_does_not_tick_failure_counter
locks in the new behaviour.
1. trajectory_compressor.py: yaml.safe_load() returns None on empty
files, crashing with TypeError on `if 'tokenizer' in data`. Fix by
adding `or {}` fallback. (HIGH — blocks startup with empty config)
2. 6 files with fcntl.flock(LOCK_UN) in finally blocks without
try/except: cron/scheduler.py, hermes_cli/auth.py,
agent/shell_hooks.py, tools/skill_usage.py,
tools/environments/file_sync.py, tools/memory_tool.py. If unlock
raises OSError, fd.close() is skipped and the lock is held forever.
The msvcrt branches already had try/except; the fcntl branches did
not. Fix by wrapping in try/except (OSError, IOError): pass.
3. agent/copilot_acp_client.py line 639: TOCTOU race — path.exists()
followed by path.read_text() with no try/except. If file is deleted
between the check and the read, FileNotFoundError propagates. Fix
by using try/except FileNotFoundError.
4. gateway/sticker_cache.py: non-atomic write via Path.write_text()
can leave truncated JSON on crash, causing JSONDecodeError on next
load. Fix by writing to tempfile + fsync + os.replace (atomic).
Skill bundles are tiny YAML files in ~/.hermes/skill-bundles/ that
group several skills under one slash command. Invoking /<bundle-name>
from any surface (CLI, TUI, dashboard, any gateway platform) loads
every referenced skill into a single combined user message.
Use cases:
- /backend-dev → loads github-code-review + test-driven-development
+ github-pr-workflow as one bundle.
- /research → loads several research skills together.
- Team task profiles shared via dotfiles.
Behavior:
- Bundles take precedence over individual skills when slugs collide.
- Missing skills are skipped with a note, not fatal.
- No system-prompt mutation — bundles generate a fresh user message
at invocation time, the same way /<skill> does. Prompt cache stays
intact.
- Works in CLI dispatch, gateway dispatch, autocomplete (CLI + TUI),
/help display.
Schema (~/.hermes/skill-bundles/<slug>.yaml):
name: backend-dev
description: Backend feature work.
skills:
- github-code-review
- test-driven-development
instruction: |
Optional extra guidance prepended to the loaded skills.
New module: agent/skill_bundles.py — load, scan, resolve, build
invocation message, save, delete. yaml.safe_load only; broken
bundles log a warning and are skipped, never raise.
New CLI subcommand: hermes bundles {list,show,create,delete,reload}.
Implementation in hermes_cli/bundles.py; wired in hermes_cli/main.py.
'bundles' added to _BUILTIN_SUBCOMMANDS so plugin discovery skips it.
New in-session slash command: /bundles lists installed bundles in
both CLI and gateway. /<bundle-name> dispatch added to CLI (cli.py)
and gateway (gateway/run.py) before the existing /<skill-name> path.
Autocomplete: SlashCommandCompleter gained an optional
skill_bundles_provider parameter that defaults to None — the prompt
shows '▣ <description> (N skills)' for bundles vs '⚡' for skills.
Tests:
- tests/agent/test_skill_bundles.py — 33 tests covering slugify,
scan/cache freshness, resolve (including underscore→hyphen
Telegram alias), build_bundle_invocation_message (loading, missing
skills, user/bundle instruction injection, dedup), save/delete,
reload diff, list sort.
- tests/hermes_cli/test_bundles.py — 8 tests for the CLI
subcommand (create/list/show/delete/reload, --force, missing
bundle errors).
- tests/gateway/test_bundles_command.py — 4 tests for the gateway
handler and bundle resolution priority.
Live E2E: verified subprocess invocations of hermes bundles
{list,create,show,reload,delete} round-trip correctly against an
isolated HERMES_HOME.
Docs:
- website/docs/user-guide/features/skills.md — new 'Skill Bundles'
section with quick example, YAML schema, management commands,
behavior notes.
- website/docs/reference/cli-commands.md — 'hermes bundles' added to
the top-level command table and given its own subcommand section.
Salvages #24402 by @RyanRana. The KANBAN_GUIDANCE block (~835 tokens)
is session-static — the dispatcher decides at spawn time whether the
process is a kanban worker via the kanban_show tool's check_fn (gated
on HERMES_KANBAN_TASK env var). Re-checking 'kanban_show' in
valid_tool_names and re-loading the reference on every system-prompt
rebuild (init + each context compression) is wasted work.
Caches the resolved string on agent._kanban_worker_guidance once in
agent_init and consumes it in system_prompt.build_system_prompt(),
with a getattr fallback for code paths that bypass agent_init.
The existing ``_is_entitlement_failure`` heuristic only fires when
the response body contains specific substrings ("do not have an
active Grok subscription", etc.). xAI has been seen to 403 standard
SuperGrok subscribers with a terser body that doesn't match those
keywords (#26847), and the recovery path would then mint a fresh
token, get a fresh 403, and loop until Ctrl+C.
Add a defense-in-depth check at the recovery call site: any 403 on
``provider == "xai-oauth"`` short-circuits ``try_refresh_current``
so the error surfaces immediately with the friendly hint from
``_summarize_api_error``. Keeps the existing keyword path for all
other providers untouched.
Qwen3.x and DeepSeek-V3.x default to chatty/hallucinatory tool use without
enforcement steering — agents narrate "calling tool X" without actually
emitting a tool call, or run partial loops. Both model families fit the
same failure pattern TOOL_USE_ENFORCEMENT_GUIDANCE was already injected
for (gpt, codex, gemini, gemma, grok, glm).
Co-authored-by: briandevans <252620095+briandevans@users.noreply.github.com>
Squashed salvage of:
- 403e567ce fix(agent): add qwen and deepseek to TOOL_USE_ENFORCEMENT_MODELS
- 9433eabe7 test(agent): use realistic qwen-plus identifier in enforcement test
Fixes#28079.
The conversation_loop.py references _pool_may_recover_from_rate_limit which
was defined in run_agent.py. After the conversation-loop extraction refactor,
the helper was no longer in the same module scope. Wrap the call as
_ra()._pool_may_recover_from_rate_limit() to route through the run_agent
monkeypatch namespace where the helper is available.
Adds regression test in test_gemini_fast_fallback.py.
Fixes: MAILROOM Email Triage NameError, OPS Execution Monitor NameError.
The background review prompts (_SKILL_REVIEW_PROMPT and
_COMBINED_REVIEW_PROMPT) now include explicit protection rules
for bundled, hub-installed, and pinned skills — aligning with
the curator's existing policy at curator.py L345/350.
Before this change, bg-review could freely rewrite bundled skills
like 'hermes-agent' or pinned skills, while the 7-day curator
explicitly skips them.
The review agent now sees:
• Bundled skills (shipped with Hermes)
• Hub-installed skills (installed via hermes skills install)
• Pinned skills (marked via hermes curator pin)
If only protected skills need updating, the review says
'Nothing to save.' and stops.
Fixes#27644
xAI's /v1/responses and /v1/chat/completions endpoints reject tool schemas
whose enum values contain a forward slash with a generic HTTP 400 'Invalid
arguments passed to the model.' before any token is emitted — the schema
compiler trips on the '/' character regardless of where it appears.
Most commonly hit by MCP-derived tools whose enum lists HuggingFace model
IDs ('Qwen/Qwen3.5-0.8B', 'openai/gpt-oss-20b') or owner/name environment
identifiers.
Mirrors the existing strip_pattern_and_format sanitizer (PR for #27197).
The new strip_slash_enum walks tool parameters and drops the entire enum
keyword when any value contains '/' — keeping it partial would still 400
since xAI's failure is all-or-nothing on the enum. The field description
still reaches the model so the prompting hint is preserved.
Wired in at both code paths for parity:
- agent/chat_completion_helpers.py (main agent xAI Responses path)
- agent/auxiliary_client.py (aux client xAI Responses path, matching
the same parity guarantee 2fae8fba9 established for pattern/format)
Salvaged from #28021 by @Slimydog21 — contributor's branch was severely
stale (would have reverted ~5000 LOC across azure/kanban/i18n); fix
re-applied surgically on current main with their sanitizer + 9 tests
preserved verbatim. Author noreply email used (original was a Mac
hostname leak).
When a Codex OAuth refresh token is permanently invalidated (HTTP 400/401/403,
token revoked or reused), _mark_exhausted was called but auth.json was left with
the dead credentials. On the next session, _seed_from_singletons re-read
auth.json and re-seeded the pool with the same revoked token, triggering the
same terminal failure in a loop.
Add _is_terminal_codex_oauth_refresh_error to auth.py and a matching quarantine
block in _refresh_entry: when a terminal error is detected and auth.json holds
no newer tokens, clear access_token/refresh_token from auth.json and remove all
device_code-sourced pool entries from memory. Mirrors the Nous quarantine added
in c90556262 and the xAI quarantine in #28116.
Also add a pre-refresh sync from auth.json before calling refresh_codex_oauth_pure,
matching the xAI and Nous patterns, to avoid refresh_token_reused races when
multiple Hermes processes share the same auth.json singleton.
Salvaged from #27911 by @EloquentBrush0x — contributor's branch was severely
stale (would have reverted ~5000 LOC across azure/kanban/i18n subsystems);
fix re-applied surgically on current main with their predicate and tests preserved.
PR #28102 made the summary-failure abort path the unconditional default,
changing established behavior. Gate it behind config.yaml flag
`compression.abort_on_summary_failure` (default False = historical
fallback-placeholder behavior).
- hermes_cli/config.py: new `compression.abort_on_summary_failure` key,
default False, documented inline.
- agent/agent_init.py: read the flag from compression config and pass to
ContextCompressor.
- agent/context_compressor.py: `__init__` accepts `abort_on_summary_failure`
(default False). `compress()` failure branch gates the abort on the
flag; when False, falls through to the restored legacy fallback path
(static "summary unavailable" placeholder + drop middle window).
- tests: restore original fallback expectations as default; add new
TestAbortOnSummaryFailure class for the opt-in mode.
Gateway/CLI plumbing (force=True on /compress, hygiene/handler abort
detection, locale `gateway.compress.aborted` key) from PR #28102 stays
intact — those paths only fire when `_last_compress_aborted` is True,
which now only happens when the flag is enabled.
When refresh_xai_oauth_pure raises a terminal error (HTTP 400/401/403,
i.e. revoked or reused refresh token), _refresh_entry's existing race-
recovery path re-syncs from auth.json and returns if another process has
already rotated the tokens. If auth.json still holds the same stale
token pair, the function fell through to _mark_exhausted — leaving the
dead credentials in auth.json. On the next Hermes startup _seed_from_singletons
re-seeded the pool from those stale tokens, causing the same failure loop
on every session.
Fix: after the auth.json re-sync check in the xAI-oauth error handler,
detect terminal errors with the new _is_terminal_xai_oauth_refresh_error
helper and apply a quarantine:
- Clear access_token and refresh_token from providers["xai-oauth"]["tokens"]
in auth.json so they are not re-seeded.
- Write a last_auth_error entry for hermes doctor / auth status diagnostics.
- Remove all loopback_pkce entries from the in-memory pool so the current
session stops retrying with the dead credentials.
Mirrors the identical quarantine already in place for Nous OAuth
(c90556262).
Closes the parity gap introduced when c90556262 added Nous-only terminal
error handling without a corresponding xAI-oauth path.
When xAI returns a subscription/entitlement error through an SSE
``type=error`` frame, ``_StreamErrorEvent`` is raised with
``status_code=None``. This caused ``_classify_by_status`` (step 2 of
``classify_api_error``) to be skipped entirely, and the Grok-specific
phrases ("do not have an active Grok subscription", "out of available
resources") appeared in none of the message-pattern lists. The error
fell through to ``FailoverReason.unknown (retryable=True)``, burning
``max_retries`` on every affected X Premium+ / SuperGrok user before
the agent stopped — and ``_is_entitlement_failure`` was never called
because it only fires under ``FailoverReason.auth``.
The HTTP 403 path already handled this correctly (``_classify_by_status``
returns ``auth/non-retryable`` for 403). Add an explicit pattern block
at step 1 (highest priority, before the ``status_code`` guard) so both
code paths route to ``FailoverReason.auth, retryable=False,
should_fallback=True`` — matching the 403 path exactly.
Add three regression tests in ``Fix D`` section of
``test_codex_xai_oauth_recovery.py``:
- primary "do not have an active Grok subscription" phrase
- "out of available resources" + "grok" variant
- unrelated ``_StreamErrorEvent`` must not be reclassified
xAI is a first-class provider in hermes-agent with its own credential
pool entry (XAI_API_KEY / xai-oauth). API keys follow the format
xai-<60+ alphanumeric chars> and were absent from _PREFIX_PATTERNS in
agent/redact.py.
When a key appears raw in log output, tool results, or error messages,
it passed through completely unmasked. The ENV-assignment and Bearer
header patterns catch the most common cases, but a raw token in a
stack trace or debug print had no protection.
Verified before fix:
redact_sensitive_text("using key xai-ABCD...rstu to call xAI", force=True)
# "using key xai-ABCD...rstu to call xAI" <- exposed
After fix:
# "using key xai-AB...rstu to call xAI" <- masked
Five unit tests added to TestXaiToken covering bare token masking,
env assignment, short-prefix false positive, company name false
positive, and visible prefix in masked output.
When auxiliary compression's summary generation returns None (aux model
errored, returned non-JSON, timed out, etc.) the compressor previously
still dropped every middle message between compress_start..compress_end
and replaced them with a static 'Summary generation was unavailable'
placeholder. The session kept going but the user silently lost N turns
of context for nothing.
New behavior: on summary failure, compress() aborts entirely — returns
the input messages unchanged and sets _last_compress_aborted=True. The
existing _summary_failure_cooldown_until gate (30-60s) keeps the aux
model from being burned on every turn. Auto-compress callers detect
the no-op (len(after) == len(before)) and stop looping. The chat is
'frozen' at its current size until the next /compress or /new.
Manual /compress (CLI + gateway) now passes force=True which clears
the cooldown so users can retry immediately after an auto-abort. If
the manual retry also fails, the user gets a visible warning telling
them nothing was dropped and how to retry.
- agent/context_compressor.py: compress() gains force= kwarg; failure
branch sets _last_compress_aborted and returns messages unchanged
instead of inserting placeholder.
- run_agent.py: _compress_context() detects abort, surfaces warning,
skips session-rotation entirely, returns messages unchanged.
- cli.py + gateway/run.py: manual /compress paths pass force=True.
- gateway/run.py: hygiene + /compress handlers detect _last_compress_aborted
and emit the new 'Compression aborted' warning (gateway.compress.aborted)
instead of the old 'N historical messages were removed' message.
- locales/*.yaml: new gateway.compress.aborted key in all 16 locales.
- tests: updated to assert the abort contract (messages preserved,
compression_count not incremented, abort flag set, no placeholder
leaked). New test_force_true_bypasses_failure_cooldown covers the
manual-retry path.
xAI's /responses endpoint rejects tool schemas that contain pattern or
format JSON Schema keywords with HTTP 400. chat_completion_helpers.py
already strips these for the main-agent xAI/xai-oauth path (lines
294-302), but _CodexCompletionsAdapter.create() — used for every xAI
OAuth auxiliary call (kanban decomposer, profile describer, etc.) —
passed raw tool schemas without sanitization.
MCP tools that carry pattern/format keywords (common for string fields)
silently caused every auxiliary call over xAI OAuth to fail with an
HTTP 400, while the main agent worked fine. Parity fix: call
strip_pattern_and_format() on the tool list before converting to
Responses API format, matching the main-agent guarantee.
Cherry-pick of @sharziki's #27022 routed Azure Foundry through
_requires_bearer_auth, which also triggered the MiniMax-specific
beta-strip in _common_betas_for_base_url — dropping the 1M-context
beta from Azure even though Azure needs it for 1M context.
Split the strip predicate: introduce _is_minimax_anthropic_endpoint
so the fine-grained-tool-streaming and context-1m strips only fire
for MiniMax hosts, leaving Azure's bearer-auth header swap intact
without losing 1M context.
Also add a regression test that asserts Azure gets Bearer auth,
the api-version query param, and the context-1m-2025-08-07 beta.
Azure AI Foundry's Anthropic-style endpoint requires
`Authorization: Bearer` instead of `x-api-key`. Add `azure.com` to
`_requires_bearer_auth()` so the existing Bearer path at line 586 fires
before the generic third-party branch sets `api_key` (x-api-key).
Fixes#26970
* feat(session_search): single-shape tool with discovery, scroll, browse — no LLM
Replaces the LLM-summarized session_search with a single-shape tool that
returns actual messages from the DB. Three calling shapes inferred from
args (no mode parameter):
1. Discovery — pass query. FTS5 + anchored ±5 window + bookends per hit,
all in one call. ~20ms on a real DB instead of ~90s for the previous
three aux-LLM calls.
2. Scroll — pass session_id + around_message_id. Returns a window
centered on the anchor. To paginate, re-anchor on the first/last id
of the returned window. Boundary message appears in both windows
as the orientation marker. ~1ms per scroll call.
3. Browse — no args. Recent sessions chronologically.
Bookend_start (first 3 user+assistant msgs) and bookend_end (last 3) give
the agent goal + resolution on every discovery hit, so a single tool call
reconstructs a long session's arc without loading the whole transcript.
The aux-LLM summary path is gone: it cost ~$0.30/call, took ~30s, and
laundered FTS5 hits through a model that could confabulate when the right
session wasn't in the hit list. The merged shape returns byte-for-byte
content from SQLite.
History:
- PR #20238 (JabberELF) seeded the fast/summary dual-mode split.
- PR #26419 (yoniebans) expanded to fast/guided/summary with bookends,
multi-anchor drill-down, default-mode config, and a teaching skill.
This PR collapses that toolkit into one shape with explicit scroll
support, drops the summary path, drops the mode parameter, drops the
config knob, drops the skill. JabberELF's seed work is acknowledged via
the AUTHOR_MAP entry.
Validation:
- 38/38 tool tests pass (tests/tools/test_session_search.py)
- 12/12 get_messages_around tests pass (tests/hermes_state/)
- 11/11 get_anchored_view tests pass (tests/hermes_state/)
- Full tests/tools/ run: 5168 passing, 2 failures pre-exist on main
(test ordering in test_delegate.py, unrelated)
- E2E against live state DB: discovery 20ms, scroll 1ms, browse 280ms;
pagination forward+backward works with boundary-message orientation;
error paths return clean tool_error responses
Co-authored-by: JabberELF <abcdjmm970703@gmail.com>
Co-authored-by: yoniebans <jonny@nousresearch.com>
* chore(session_search): prune dead LLM-summary config and docs
Companion to the single-shape rewrite. The auxiliary.session_search config
block, max_concurrency / extra_body tunables, and matching docs sections
all referenced the removed LLM summarization path. Removing them so users
don't try to tune knobs that nothing reads.
- hermes_cli/config.py: drop dead auxiliary.session_search block from
DEFAULT_CONFIG. Leftover keys in user config.yaml are harmless and
ignored.
- hermes_cli/tips.py: drop two tips referencing the removed
max_concurrency / extra_body knobs.
- website/docs/user-guide/configuration.md: drop 'Session Search Tuning'
section and the auxiliary.session_search block from the example.
- website/docs/user-guide/features/fallback-providers.md: drop session_search
rows from the auxiliary-tasks tables and the dedicated tuning subsection.
- website/docs/reference/tools-reference.md: rewrite the session_search
entry to describe the new three-shape behaviour.
- CONTRIBUTING.md: update the file-tree description.
- tests/tools/test_llm_content_none_guard.py: remove TestSessionSearchContentNone
class and test_session_search_tool_guarded — both guard against an
unguarded .content.strip() call site in _summarize_session() that no
longer exists.
Validation: 97/97 targeted tests still pass (hermes_state + session_search +
llm_content_none_guard). Config tests 55/55.
---------
Co-authored-by: JabberELF <abcdjmm970703@gmail.com>
Co-authored-by: yoniebans <jonny@nousresearch.com>
The system prompt's 'Conversation started:' line carried minute precision
(%I:%M %p), making it byte-unstable across every rebuild path. Within a
CLI session the in-memory cache held, but on the gateway path (fresh
AIAgent per turn → restore from session DB), any silent failure in the
read or write path dropped the cache stem and forced a full re-prefill
on every subsequent turn. Local prefix-caching backends (llama.cpp /
vLLM) saw this as KV-cache invalidation; remote prefix-caching providers
saw it as an Anthropic-style cache miss.
Three changes:
1. Date-only timestamp ('Sunday, May 17, 2026' instead of '... 03:42 PM').
System prompt now byte-stable for the full day. The model can still
query exact time via tools when it actually needs it. Credit:
@iamfoz (PR #20451).
2. Loud logging on session DB write failures. The update_system_prompt
call used to log at DEBUG, hiding disk-full / locked-database / schema
drift behind a silent fall-through that forced fresh rebuilds on
every subsequent turn. Now WARN with the session id and exception so
persistent issues show up in agent.log without verbose mode.
3. Three-way stored-state distinction on read. The previous
'session_row.get("system_prompt") or None' collapsed three states
into one (missing row / null column / empty string). Now we tell them
apart and WARN when a continuing session lands on null/empty (which
means the previous turn's write never persisted — every subsequent
turn rebuilds and the prefix cache misses every time).
The restore block is extracted into _restore_or_build_system_prompt()
so the prefix-cache path can be unit-tested in isolation.
E2E proof: fresh AIAgent constructed for turn 2 across a minute-boundary
sleep restores byte-identical bytes from the session DB. NULL stored
prompt fires the new warning. Date-only timestamp survives the rebuild
path. All on real SessionDB, no mocks.
Tests:
- tests/agent/test_system_prompt_restore.py (10 new tests)
- tests/run_agent/test_run_agent.py::TestBuildSystemPrompt::
test_datetime_is_date_only_not_minute_precision
Closes#20451 (date-only), #18547 (prefix stabilization),
#8689 (stabilize timestamp across compression), #15866 (timestamp
caching question), #8687 (compression timestamp), #27339
(claim #3: live timestamp in cached system prompt).
Co-authored-by: Martyn Forryan <9133432+iamfoz@users.noreply.github.com>
Grok models hit the same failure modes that OPENAI_MODEL_EXECUTION_GUIDANCE
addresses for GPT/Codex: claiming completion without tool calls
('to be honest, I didn't create the file yet'), suggesting workarounds
instead of using existing tools (proposing a folder-based memory system
when the memory tool exists), replying with plans instead of executing.
TOOL_USE_ENFORCEMENT_GUIDANCE was already injected for any model whose
name contains 'grok' (TOOL_USE_ENFORCEMENT_MODELS). This extends the
follow-on family-specific block — OPENAI_MODEL_EXECUTION_GUIDANCE
(tool_persistence / mandatory_tool_use / act_dont_ask / prerequisite_checks
/ verification / missing_context) — to grok-named models too.
The OPENAI_ prefix is retained for backwards compat with imports/tests;
docstring + inline comment now note that the body is family-agnostic and
the prefix reflects origin, not exclusivity.
Tests cover the OpenRouter slug (x-ai/grok-4.3) and the xai-oauth bare
name (grok-4.3), plus a negative control on claude.
E2E verified against a real AIAgent build of the system prompt for both
xai-oauth and openrouter grok models.
Layered fallback for auxiliary tasks (compression, vision, tts, web_extract,
session_search, etc.):
1. Primary aux provider (existing)
2. User-configured auxiliary.<task>.fallback_chain (new)
3. Main agent provider + model (new — last-resort safety net)
4. Warn user + re-raise original error (new)
For users on 'auto' (no explicit aux provider), the existing
_try_payment_fallback auto-detection chain runs instead — its Step 1
already IS the main agent model, so they get the same behaviour without
configuration.
The configured fallback_chain config schema comes from #26882 / @zccyman;
the main-agent safety net + exhaustion warning were added on top.
Closes#26882. Builds on the capacity-error gate fix in the previous
commit (#26803 / @Bartok9).
Closes#26803
Root causes:
1. _is_payment_error() checked for billing keywords (credits, insufficient
funds, billing, payment required) but missed daily token quota exhaustion
phrases used by Bedrock, Vertex AI, and LiteLLM proxies — e.g.
'Too many tokens per day', 'quota exceeded', 'resource exhausted',
'daily limit'. These are functionally identical to credit exhaustion
(provider cannot serve the request) but don't trigger fallback.
2. The call_llm() fallback chain was gated on resolved_provider == 'auto'.
When a task resolves to a specific provider (e.g. 'custom' for a LiteLLM
proxy, or 'openrouter'), capacity failures (payment/quota/connection)
silently raise instead of trying alternatives. This is overly conservative:
capacity errors mean the provider *cannot* serve the request regardless of
user intent, so alternatives should always be tried.
Fixes:
- Add quota-related keywords to _is_payment_error(): quota_exceeded,
too many tokens per day, daily limit, tokens per day, daily quota,
resource exhausted (Vertex AI gRPC code).
- Allow fallback for capacity errors (payment + connection) even when
resolved_provider is not 'auto'. Rate-limit fallback stays gated on
is_auto to honour explicit provider constraints for transient limits.
- Apply both fixes to sync call_llm() and async acall_llm() paths.
- Add 6 targeted tests for the new quota-error detection cases.
Quarantine Nous OAuth state when refresh fails with terminal invalid_grant/invalid_token errors. Clear local and shared refresh material across runtime, managed access-token, proxy, and credential-pool paths so Hermes stops retrying revoked refresh sessions.
Port of the run_agent.py changes from #27219 to current main: the
_build_api_kwargs body was extracted into agent/chat_completion_helpers.
build_api_kwargs, so wire the xAI tool-schema sanitization there
(provider in {'xai', 'xai-oauth'} or base_url=api.x.ai). Logs a warning
instead of silently swallowing exceptions, matching the contributor's
review-followup fix.
Co-authored-by: zccyman <zccyman@163.com>
Closes#25249 (and supersedes PR #25260) in spirit.
Two bugs in the streaming chat-completions path caused provider timeout
configuration to be silently ignored:
1. Hardcoded connect/pool timeout. The httpx.Timeout for streaming
calls used hardcoded connect=30.0 and pool=30.0 regardless of the
user's providers.<id>.request_timeout_seconds config. If the custom
provider (e.g. Ollama) was unreachable, the call always waited
exactly 30s before failing, ignoring any configured timeout.
Fix: use min(_base_timeout, 60.0) for connect and pool when a
provider timeout is configured, falling back to 30.0 otherwise.
The 60s cap addresses review feedback (TCP handshake shouldn't
wait the inference timeout — connect/pool cover the connection
layer, not model latency).
2. Streaming stale-stream detector ignored provider config. The
stale detector read only HERMES_STREAM_STALE_TIMEOUT (env default
180s). The providers.<id>.stale_timeout_seconds key (correctly
used in the non-streaming path) was never consulted.
Fix: check get_provider_stale_timeout(provider, model) first,
then fall back to the env var. Aligns the streaming path with
the non-streaming path's priority chain (config > env > default).
Salvage shape diverged from PR #25260: the function moved to
agent/chat_completion_helpers.py and the contributor's two commits
(initial fix + 60s-cap review follow-up) are squashed into one final
commit applied at the new location.
Original diagnosis, fix shape, AND the 60s-cap review response from
@zccyman in PR #25260; credited via Co-authored-by.
Co-authored-by: zccyman <16263913+zccyman@users.noreply.github.com>
Addresses findings from two self-review passes pre-merge.
First pass (3-agent parallel review):
1. plugins/browser/browser_use/provider.py: drop the
``_ = managed_nous_tools_enabled`` dead-import-hider in
_get_config_or_none(). The import was actively misleading — the
helper IS used in _get_config() (separate method, separate import),
not here. The "keep static analysis happy" comment was wrong about
what the helper does in this scope.
2. agent/browser_provider.py: drop ``pragma: no cover`` from
is_configured() / provider_name() backward-compat aliases. They ARE
covered by ``TestLegacyAbcAliases`` — the pragma would have masked
future regressions.
3. tools/browser_tool.py: refactor _is_legacy_provider_registry_overridden()
to compare against a module-frozen _DEFAULT_PROVIDER_REGISTRY snapshot
instead of hardcoded set of 3 keys. Future maintainers adding a 4th
built-in provider now just extend _PROVIDER_REGISTRY; the override
detection adapts automatically. Previously the hardcoded
``set(...) != {"browserbase", "browser-use", "firecrawl"}`` would flip
True forever on any 4-key registry, silently routing every install
onto the legacy fixture path.
4. tools/browser_tool.py: when explicit ``browser.cloud_provider`` is set
but the registry has no matching plugin (typo, uninstalled plugin,
discovery failure), emit a WARNING with actionable text instead of
silently falling through to auto-detect. Legacy code surfaced a typed
credentials error via direct class instantiation; this log restores
the signal in the post-migration path.
5. agent/browser_registry.py: trim the triple-redundant _LEGACY_PREFERENCE
documentation. Module docstring + 13-line block-comment + 5-line
inline comment was repeating the same point. Kept the docstring and
trimmed the block-comment to 5 lines.
6. agent/browser_registry.py: upgrade is_available()-raised logging from
DEBUG to WARNING with exc_info=True. A provider's availability check
throwing is unusual enough that users debugging "no cloud provider"
need the traceback in logs.
7. tests/plugins/browser/check_parity_vs_main.py: drop dead top-level
imports (os, shutil, tempfile — only referenced inside the
SUBPROCESS_SCRIPT string literal that runs in a child process).
Second pass (architecture + claim-verification review):
8. tools/browser_tool.py: rewrite the inline comment in _get_cloud_provider
auto-detect branch. Prior text claimed it "routes through the plugin
registry's legacy preference walk so third-party plugins still get a
chance to be selected when they're explicitly configured" — false on
both counts. The branch uses module-level legacy class aliases
(BrowserUseProvider / BrowserbaseProvider) directly; third-party
plugins are intentionally reachable only via explicit
``browser.cloud_provider``. Corrected comment now matches behaviour
and cross-references _LEGACY_PREFERENCE for the firecrawl gate
rationale.
9. tools/browser_tool.py + tests/tools/test_managed_browserbase_and_modal.py:
drop the unused ``get_active_browser_provider as
_registry_get_active_browser_provider`` alias from the
``from agent.browser_registry import ...`` block. It was never
referenced; matching test-stub line in the agent.browser_registry
SimpleNamespace also dropped. ``get_provider`` is still imported (used
by the explicit-config dispatch path at line 535).
10. plugins/browser/firecrawl/provider.py: align emergency_cleanup()
with the early-guard pattern used in browserbase + browser_use
plugins. Previously firecrawl tried the DELETE and relied on
``_headers()`` raising ValueError to trip a "missing credentials"
warning; same final outcome but a different control flow that read
like a bug to a maintainer skimming the three modules. Now: if
is_available() is False, log+return early — identical shape to the
other two providers.
Verification: 54/54 unit tests + 13/13 parity scenarios still pass.
Switches tools.browser_tool's cloud-provider lookup from the hardcoded
_PROVIDER_REGISTRY class-instantiation pattern to the
agent.browser_registry singleton registry that plugins self-populate.
Changes:
- tools/browser_tool.py top imports: pull BrowserProvider from
agent.browser_provider (re-exported as CloudBrowserProvider for legacy
callers) and the three provider classes from plugins/browser/<vendor>/.
Legacy class names (BrowserbaseProvider, BrowserUseProvider, FirecrawlProvider)
remain on tools.browser_tool as re-export shims so existing test patches
(monkeypatch.setattr(browser_tool, 'BrowserUseProvider', ...)) keep working.
- _get_cloud_provider() now consults agent.browser_registry.get_provider()
for explicit-config lookups. The auto-detect fallback still uses
BrowserUseProvider() / BrowserbaseProvider() at the module level so the
cache-policy test fixtures (which patch those names) keep driving the
function. Test-time _PROVIDER_REGISTRY overrides are detected by class
identity and routed through the legacy factory-call path.
- agent/browser_provider.py: BrowserProvider grows is_configured() and
provider_name() as thin backward-compat aliases for the legacy
CloudBrowserProvider API. Subclasses MUST implement is_available() and
name; the aliases delegate. This keeps ~6 caller sites in browser_tool.py
working without churning them.
- tests/tools/test_managed_browserbase_and_modal.py: _install_fake_tools_package
grows stubs for agent.browser_provider / agent.browser_registry /
plugins.browser.<vendor>.provider so the test's spec-loader path
(sys.modules-reset + reload-tool-from-disk) can satisfy tools.browser_tool's
top-level imports.
Verified: all 23 existing tests in test_browser_cloud_*.py +
test_managed_browserbase_and_modal.py still pass post-cutover.
The legacy tools/browser_providers/ directory is NOT yet deleted; several
tests still _load_tool_module() those files via spec_from_file_location.
The deletion + test-path updates land in a later commit.
Migrates the remaining two cloud browser providers to plugins:
plugins/browser/browser_use/ — dual auth (direct BROWSER_USE_API_KEY
or managed Nous gateway), idempotency-
key handling for retried managed-mode
creates, x-external-call-id capture.
plugins/browser/firecrawl/ — direct FIRECRAWL_API_KEY only;
distinct from plugins/web/firecrawl/
(same key, different endpoint).
Also drops the 'single-eligible shortcut' rule from
agent.browser_registry._resolve(). Was a copy-paste from
web_search_registry that would have introduced a real behavior change:
a user with only FIRECRAWL_API_KEY set (for web-extract) would silently
get routed to a paid Firecrawl cloud browser on a fresh install — not
matching origin/main, which only auto-detected between Browser Use and
Browserbase. Third-party browser plugins are subject to the same gate:
they require explicit `browser.cloud_provider` to take effect.
Verified end-to-end via plugin discovery:
- 3 plugins register (browser-use, browserbase, firecrawl)
- _resolve(None) with no creds: None (local mode)
- _resolve(None) with only FIRECRAWL_API_KEY: None (matches main)
- _resolve('firecrawl'): firecrawl (explicit wins)
- _resolve(None) with BU+firecrawl: browser-use (legacy walk first hit)
- _resolve(None) with all three: browser-use (legacy walk order)
Foundation commit for the browser-provider plugin migration (#25214).
Mirrors the architecture established by PR #25182 (web providers):
- agent/browser_provider.py — BrowserProvider ABC. Preserves the legacy
CloudBrowserProvider lifecycle contract bit-for-bit (create_session,
close_session, emergency_cleanup, session metadata shape) so the
dispatcher in tools/browser_tool.py becomes a pure registry lookup.
Renames is_configured() → is_available() for parity with WebSearchProvider.
- agent/browser_registry.py — selection registry with the same
three-rule resolution as web_search_registry:
1. Explicit config wins (returns even if is_available() == False so
the dispatcher surfaces a precise credentials error)
2. Single-eligible shortcut
3. Legacy preference walk: browser-use → browserbase, filtered by
availability. Firecrawl is intentionally NOT in the legacy walk
(matches pre-migration behaviour — Firecrawl was only reachable
via explicit browser.cloud_provider: firecrawl).
- hermes_cli/plugins.py — adds ctx.register_browser_provider() facade,
one-liner mirror of register_web_search_provider().
No plugins registered yet; no dispatcher cutover yet. The next commits
move browserbase/browser-use/firecrawl into plugins/browser/<vendor>/
and switch tools/browser_tool.py over to the registry.
agent/bedrock_adapter.py now calls lazy_deps to install boto3 and
botocore on first import, mirroring how other optional provider
adapters defer their heavy AWS dependencies until actually used.
Keeps the base install slim for users who don't run on Bedrock.
Both the `action=block` and `decision=block` branches in _parse_response
shared identical field-priority and type-validation logic. Extract it into
a single _block_message(primary, secondary) helper so the two branches are
one line each and the type guard lives in exactly one place.
No functional change: existing tests (TestParseResponse, 14 tests) all
pass unchanged, confirming identical behaviour.
Address code review feedback on _parse_response:
1. Restore isinstance(raw, str) guard so non-string message/reason values
(e.g. integers, lists) from a malformed hook response fall back to the
default rather than being forwarded as-is. This keeps the contract that
message in the returned dict is always a string.
2. Extract the repeated literal 'Blocked by shell hook.' into a module-level
constant _DEFAULT_BLOCK_MESSAGE to avoid duplication and make it easy to
change in one place.
Four new unit tests added to tests/agent/test_shell_hooks.py covering:
- action block with no message (uses default)
- decision block with no reason (uses default)
- action block with empty string message (uses default)
- action block with non-string message, e.g. integer (uses default)
_parse_response in agent/shell_hooks.py only forwarded a pre_tool_call
block directive if the hook also provided a non-empty message or reason.
When either field was missing the function returned None, causing Hermes
to treat the response as a no-op and execute the tool unconditionally.
This means a hook that outputs {"action": "block"} or {"decision": "block"}
without a reason string is silently ignored. The security boundary fails
open: tools the user intended to gate are executed anyway.
Fix: remove the message-presence guard. Honor the block unconditionally
and fall back to a default message when none is provided. Existing hooks
that already include a message or reason are unaffected.
qwen3.6-plus did not have an explicit entry in DEFAULT_CONTEXT_LENGTHS,
so the longest-substring fallback matched the generic 'qwen': 131072
catch-all. That dropped the effective context limit from 1,048,576
tokens to 131,072, prematurely lowered the compression threshold, and
produced misleading warnings about main/compression context mismatch
in long sessions.
Add an explicit 'qwen3.6-plus': 1048576 entry before the catch-all and
cover it with a regression test (bare, qwen/, and dashscope/ prefixes).
Note: PR #6599 also mentions touching model_metadata.py but the actual
diff only edits hermes_cli/models.py, so this fix is independent and
not duplicated by that PR.
Closes#27008
Six days after #23937 (608 fixes) the codebase had accumulated 241 new
PLR6201 violations. Same mechanical `x in (...)` → `x in {...}` fix,
same zero-risk profile: set lookup is O(1) vs O(n) for tuple and the
two are semantically equivalent for hashable scalar membership tests.
All 241 instances fixed via `ruff check --select PLR6201 --fix
--unsafe-fixes`, zero remaining. Every changed value is a hashable
scalar (str/int/None/enum/signal); no risk of unhashable runtime
errors. No behavior change.
Test plan:
- 119 files changed, +244/-244 (net zero) — exactly one-line edits
- `ruff check` clean afterward
- Compile checks pass on the largest touched files (cli.py, run_agent.py,
gateway/run.py, gateway/platforms/discord.py, model_tools.py)
- Subset broad test run on tests/gateway/ tests/hermes_cli/ tests/agent/
tests/tools/: 18187 passed, 59 pre-existing failures (verified against
origin/main with the same shape — identical failure count, identical
category — all xdist test-order flakes unrelated to this change)
Follows the same template as PR #23937 ([tracker: #23972](https://github.com/NousResearch/hermes-agent/issues/23972)).
Original commit 75e5d0f6b by hueilau targeted _build_api_kwargs in
pre-refactor run_agent.py. The body now lives in
agent/chat_completion_helpers.build_api_kwargs — re-applied there.
Also: switch the custom_providers forward (from 21078ebce) to use
getattr() — tests build a bare AIAgent via __new__ and would otherwise
hit AttributeError on _custom_providers.
Co-authored-by: hueilau <33933019+hueilau@users.noreply.github.com>
Original commit 8d756a421 by austrian_guy targeted __init__ in
pre-refactor run_agent.py. The body now lives in
agent/agent_init.init_agent — re-applied there.
Co-authored-by: austrian_guy <33156212+ether-btc@users.noreply.github.com>
Original commit 973f27e95 by Teknium targeted _spawn_background_review in
pre-refactor run_agent.py. The body now lives in
agent/background_review._spawn_background_review — re-applied there.
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit 21078ebce by PaTTeeL targeted _try_activate_fallback in
pre-refactor run_agent.py. The body now lives in
agent/chat_completion_helpers.try_activate_fallback — re-applied there.
Co-authored-by: PaTTeeL <9150277+PaTTeeL@users.noreply.github.com>
Original commit 33528b428 by konsisumer targeted _restore_primary_runtime
in pre-refactor run_agent.py. The body now lives in
agent/agent_runtime_helpers.restore_primary_runtime — re-applied there.
Fixes#20465
Co-authored-by: konsisumer <der@konsi.org>
Original commit 2b193907d by Teknium added a new module-level
_StreamErrorEvent class and threaded its raise into
_run_codex_create_stream_fallback in pre-refactor run_agent.py.
- _StreamErrorEvent class → run_agent.py (module-level, next to
_qwen_portal_headers; class needs to be top-level for the codex
runtime to import it)
- The fallback event-loop's 'type=error' handler → agent/codex_runtime.py
where run_codex_create_stream_fallback now lives. Imports
_StreamErrorEvent lazily from run_agent to avoid circular import.
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit e51d74ab9 by Maxim Esipov targeted _extract_api_error_context
and _recover_with_credential_pool in pre-refactor run_agent.py. Both bodies
now live in agent/agent_runtime_helpers.py — re-applied to that module:
- extract_api_error_context: payload.get('type') added to the reason
fallback chain (Codex error bodies use 'type' instead of 'code'/'error')
- recover_with_credential_pool: usage_limit_reached detection in the
rate_limit branch — skip the retry-once-then-rotate dance and rotate
immediately when the body says the per-account usage limit hit.
Co-authored-by: Maxim Esipov <maksesipov@gmail.com>
Original commits 4ded3ede3 (@konsisumer) + 374dc81c2 (Teknium) added a
413 hint to run_agent.py's agent loop. Final-state version (the sharpened
374dc81c2 wording) ported to agent/conversation_loop.py, where the
payload_too_large branch now lives.
The deprecation detection + _URL_TO_PROVIDER changes from both commits
landed in agent/copilot_acp_client.py and agent/model_metadata.py via
the prior merge.
Closes#10648
Co-authored-by: konsisumer <der@konsi.org>
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit 395e9dd9e by Teknium targeted module-level _is_mcp_tool_parallel_safe
and _should_parallelize_tool_batch helpers in pre-refactor run_agent.py. Both
helpers now live in agent/tool_dispatch_helpers.py — re-applied to that
module.
The tools/mcp_tool.py portion (the public is_mcp_tool_parallel_safe API
+ _parallel_safe_servers tracking) merged cleanly from main via the prior
merge commit.
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit 9c304a7f5 by helix4u targeted _flatten_exception_chain,
_summarize_api_error, and the _call streaming retry loop in pre-refactor
run_agent.py. Re-applied to:
- New _is_provider_stream_parse_error helper → run_agent.py (next
to _flatten_exception_chain in the AIAgent class)
- _summarize_api_error early-return for the malformed-streaming
ValueError → run_agent.py (kept method body)
- _call streaming retry: _is_stream_parse_err flag wired into
_is_transient AND the post-exhaustion branch + dedicated
malformed-streaming user-status string → agent/chat_completion_helpers.py
(the _call body now lives there)
Co-authored-by: helix4u <4317663+helix4u@users.noreply.github.com>
Original commit 97a32afdc by helix4u targeted _check_compression_model_feasibility
in pre-refactor run_agent.py. The function body now lives in
agent/conversation_compression.py — re-applied the configured-but-unavailable
provider message there.
Co-authored-by: helix4u <4317663+helix4u@users.noreply.github.com>
Collapses the four-commit xAI entitlement-403 chain to its final
on-main state, ported to the post-refactor module layout:
- Added _is_entitlement_failure on AIAgent (run_agent.py) — detects
Grok subscription-shape 403s on (401|403|None) status codes.
- Added entitlement-skip branch to recover_with_credential_pool
(agent/agent_runtime_helpers.py) — breaks the refresh-loop that
Don's 100-iteration trace exposed when a Premium+ user hit a real
entitlement issue.
- Removed _decorate_xai_entitlement_error and unwrapped its two
_summarize_api_error call sites — xAI's own body text already
points users at grok.com/?_s=usage so we surface that verbatim
(dffb602f3 reasoning: X Premium subs DO now work per xAI's
2026-05-16 announcement, so editorialising would misdirect).
- grok-4.3 1M context entry landed in agent/model_metadata.py
via the prior merge — no additional port needed.
Tests already on disk (tests/run_agent/test_codex_xai_oauth_recovery.py)
assert _is_entitlement_failure shape and verbatim body surfacing.
Closes#27110.
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit 31ba2b0cb by Teknium targeted run_codex_stream() at
its pre-refactor location in run_agent.py. Re-applied:
- Prelude error retry/fallback → agent/codex_runtime.py (in
run_codex_stream where the body now lives)
- _decorate_xai_entitlement_error helper + _summarize_api_error
wrapping → run_agent.py (these methods remained on AIAgent
as @staticmethod's; cherry-pick applied them cleanly)
The xai-oauth provider gate, encrypted_content drop on replay, etc.
landed in agent/codex_responses_adapter.py via the prior merge from main.
Closes#8133, #14634
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Original commit 13c3d4b4e by kchantharuan touched __init__ and
_apply_client_headers_for_base_url in pre-refactor run_agent.py. Re-applied to:
- __init__: agent/agent_init.py (3 hunks — NVIDIA branch + _custom_headers
fallback in routed-client and fallback-client paths)
- _apply_client_headers_for_base_url: still in run_agent.py (1 hunk)
build_nvidia_nim_headers was already present in agent/auxiliary_client.py
from the prior merge — no additional port needed.
Co-authored-by: kchantharuan <kchantharuan@nvidia.com>
Original commit b62c99797 by Jaaneek targeted six locations in
pre-refactor run_agent.py. Re-applied to the extracted post-PR locations:
- api_mode dispatch → agent/agent_init.py
- is_xai_responses build_api_kwargs → agent/chat_completion_helpers.py
- codex_auth_retry block + 401 hint → agent/conversation_loop.py
- _try_refresh_codex_client_credentials body → run_agent.py (kept)
The non-run_agent.py portions of the commit (auxiliary_client, codex
transport, hermes_cli/auth, tools/xai_http, tests, docs) merged cleanly
from main via the prior merge commit.
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
Original commit db84a78e6 by kshitij targeted run_conversation()'s
pre_api_request and post_api_request hooks in pre-refactor run_agent.py.
Re-applied to the extracted location in agent/conversation_loop.py.
Co-authored-by: kshitij <82637225+kshitijk4poor@users.noreply.github.com>
Co-authored-by: xxxigm <tuancanhnguyen706@gmail.com>
Co-authored-by: Brian Conklin <brian@dralth.com>
Original commit 4f8aaf104 by InB4DevOps targeted run_conversation() in
the pre-refactor run_agent.py. Re-applied to the extracted location in
agent/conversation_loop.py.
Co-authored-by: InB4DevOps <tolle.lege+github@gmail.com>
run_agent.py taken from HEAD (the extracted forwarder structure). The 25
run_agent.py fixes that landed on main during the PR's life need to be
ported into the agent/* extracted modules in follow-up commits.
_OPENROUTER_MODEL hardcoded 'google/gemini-3-flash-preview' which
returns 404 on OpenRouter, breaking all vision tasks for users who
rely on the OpenRouter default. Additionally, _try_openrouter()
ignored the user-configured auxiliary.vision.model entirely.
Changes:
- Update _OPENROUTER_MODEL default to google/gemini-2.5-flash (valid)
- Add optional 'model' parameter to _try_openrouter()
- Pass configured model from _resolve_strict_vision_backend() through
to _try_openrouter()
This allows users who set auxiliary.vision.model (e.g. x-ai/grok-4.3)
to have it actually used, while maintaining backward compatibility.
In resolve_provider_client(), the named custom provider code path at
~line 2914 only checked the ``key_env`` field when looking for an
environment-variable-based API key. The documented ``api_key_env``
snake_case alias was silently ignored, causing custom providers
configured with ``api_key_env`` to fall through to the
``no-key-required`` placeholder — which produces a confusing 401
(``****ired`` mask) on auth-required remote endpoints.
This mirrors the same fix already applied to run_agent.py in commit
6ddc48b05 (fix(fallback): resolve api_key_env in fallback chain entries).
Also adds a logger.warning() when the placeholder is reached, so
future alias gaps are easier to debug.
Closes#25091
Four fixes from PR #27248 review:
1. **__init__ forwarder is now keyword-forwarded** (daimon-nous review).
Previously the run_agent.AIAgent.__init__ wrapper forwarded all 64
params positionally to agent.agent_init.init_agent, so adding a
65th param on main would require three lockstep edits (signature,
init_agent signature, forwarder call) or silently shift every value.
Keyword forwarding makes this trivially safe — adding a param now
only needs the two signatures and one extra keyword line.
2. **Drop dead _ra() in agent/codex_runtime.py** (daimon-nous + Copilot).
The lazy run_agent reference was defined but never called inside
this module — the codex paths use agent.* accessors only.
3. **Drop unused imports in agent/codex_runtime.py** (Copilot):
contextvars, threading, time, uuid, Optional. Carried over from
run_agent.py during the original extraction.
4. **Tighten three source-introspection test guards** (Copilot):
- test_memory_nudge_counter_hydration.py — was scanning the
concatenated source of run_agent.py + agent/conversation_loop.py
and matching self.X or agent.X form. Now asserts the
hydration block lives in agent/conversation_loop.py specifically
with the agent.X form — the body never moves back, so if it
ever drifts a future re-introduction fails the guard.
- test_run_agent.py::TestMemoryNudgeCounterPersistence — anchor on
agent.iteration_budget = IterationBudget exactly (was just
iteration_budget = IterationBudget) so an unrelated identifier
ending in iteration_budget can't match.
- test_run_agent.py::TestMemoryProviderTurnStart — assert the
agent._user_turn_count form directly (the extracted body uses
agent.X, not self.X — accepting either was a transitional fudge).
- test_jsondecodeerror_retryable.py — scan agent/conversation_loop.py
only, not the concatenation.
Not addressed in this commit:
* Pre-existing bugs in agent/tool_executor.py (heartbeat index
mismatch when calls are blocked, _current_tool clobber in result
loop, blocked-counted-as-completed in spinner summary, dead
result_preview computation). These were preserved byte-for-byte from
the original _execute_tool_calls_concurrent — worth a separate
follow-up PR with proper tests.
* _OpenAIProxy.__instancecheck__ concern — pre-existing, not flagged
by any of the original test patches (nothing actually does
isinstance(x, OpenAI) against the proxy instance).
* agent_init.py:949 mem_config potential NameError — pre-existing;
only triggers if _agent_cfg.get('memory', {}) itself raises, which
it can't with a stock dict.
tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing
test_auxiliary_client failure (unchanged).
run_agent.py: 3821 -> 3937 lines (+116 from the keyword-forwarded
init call's verbosity). Final: 16083 -> 3937 (-12146, 75% reduction).
build_skill_invocation_message() returns a non-empty placeholder string
('[Failed to load skill: ...]') when the skill exists in the command cache
but loading the actual SKILL.md payload fails. CLI/gateway callers treat
any truthy return value as success, so the failure is silently routed into
the model as if it were a valid skill prompt.
Return None instead, matching the existing behavior for unknown commands,
so callers using 'if msg:' can properly detect the failure.
The largest method left on AIAgent (60+ parameters, the entire startup
sequence — credential resolution, provider auto-detection, context
engine bootstrap, memory store hydration, plugin lifecycle hooks)
moves into agent/agent_init.py.
AIAgent.__init__ is now a thin wrapper that calls
agent.agent_init.init_agent(self, ...) with the original full
parameter list preserved.
Module-level run_agent names referenced in the body (_openrouter_prewarm_done,
_qwen_portal_headers, _routermint_headers, _hermes_home, OpenAI,
get_tool_definitions, check_toolset_requirements) are resolved through
_ra() so test patches on those names keep working. agent_init's logger
warnings are routed via _ra().logger so tests patching run_agent.logger
capture them (TestStringKSuffixContextLengthWarns,
TestCustomProvidersInvalidContextLengthWarns).
Live E2E reconfirmed on three model paths (openai/gpt-5.4,
anthropic/claude-sonnet-4.6, moonshotai/kimi-k2-thinking).
tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing
test_auxiliary_client failure).
run_agent.py: 5944 -> 4564 lines (-1380).
Total reduction since baseline: 16083 -> 4564 (-11519, 72%).
The 3,877-line run_conversation body — the agent loop itself — moves out
of run_agent.py into a dedicated module. AIAgent.run_conversation is
now a thin forwarder that delegates to agent.conversation_loop.run_conversation
with the AIAgent instance as the first argument.
This is the largest single extraction in the run_agent.py refactor.
The body keeps all 163 self.X references intact (rewritten as agent.X),
all nested closures, all retry/backoff/compression machinery. Symbols
that tests or callers patch on run_agent (_set_interrupt,
handle_function_call, AIAgent class attrs) are resolved through _ra()
inside the extracted module so the patch surface is preserved.
Five tests doing inspect.getsource(AIAgent.run_conversation) updated to
scan agent.conversation_loop.run_conversation. Two source-introspection
tests (TestMemoryNudgeCounterPersistence, TestMemoryProviderTurnStart)
updated to accept either self.X (legacy) or agent.X (extracted
form) in the matched assertions.
Live E2E verified on three model paths:
* openai/gpt-5.4 (OpenAI chat completions via OpenRouter)
* anthropic/claude-sonnet-4.6 (Anthropic Messages via OpenRouter)
* moonshotai/kimi-k2-thinking (reasoning model, reasoning_content path)
Plus read_file tool execution, terminal tool, web_search.
tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing failure
(test_auxiliary_client::test_custom_endpoint... — same as on main).
run_agent.py: 9800 -> 5944 lines (-3856).
Total reduction since baseline: 16083 -> 5944 (-10139, 63%).
The three big review-prompt strings (_MEMORY_REVIEW_PROMPT,
_SKILL_REVIEW_PROMPT, _COMBINED_REVIEW_PROMPT — 183 lines combined) move
out of the AIAgent class body and into agent/background_review.py where
they're consumed.
AIAgent re-exposes them as class attributes via 'from ... import' inside
the class body — Python binds those names into the class namespace so
existing AIAgent._MEMORY_REVIEW_PROMPT references keep working.
spawn_background_review_thread also falls back to the module-level
constants if an agent doesn't have the attribute (preserves the test
pattern of mocking these on the agent).
tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing
test_auxiliary_client failure).
run_agent.py: 9986 -> 9800 lines (-186).
Move _interruptible_streaming_api_call out of run_agent.py — the biggest
single method in the file. Body lives next to interruptible_api_call
in agent/chat_completion_helpers.py so streaming + non-streaming code
share one home.
Nested closures (_call_chat_completions, _call_anthropic, the codex
stream branch) all come along with the body and still capture the
parent function's locals as expected.
AIAgent keeps a thin forwarder method. is_local_endpoint added to
the import block (used by the stream stale-timeout disable logic).
One source-introspection test in TestAnthropicInterruptHandler is
updated to scan agent.chat_completion_helpers.interruptible_streaming_api_call
instead of AIAgent._interruptible_streaming_api_call.
tests/run_agent/ + tests/agent/: 4312 passed (same pre-existing
test_auxiliary_client failure).
run_agent.py: 12277 -> 11385 lines (-892).
Move the two big tool-dispatch methods out of run_agent.py:
* execute_tool_calls_concurrent — 408-line concurrent path (interrupt
pre-flight, guardrail+plugin block, callback fan-out, ContextVar-
preserving ThreadPoolExecutor, periodic heartbeats for the gateway
inactivity monitor, per-tool result handling with subdir hints +
guardrail observations + checkpoint, /steer drain)
* execute_tool_calls_sequential — 441-line sequential path (the
original behavior used for single-tool batches and interactive
tools)
Both take the parent AIAgent as their first argument; AIAgent keeps
thin forwarders so call sites unchanged. handle_function_call is
routed through _ra() so tests that patch run_agent.handle_function_call
keep working. _set_interrupt likewise.
The AST guard in test_tool_executor_contextvar_propagation.py is
updated to scan both run_agent.py AND agent/tool_executor.py so it
still catches the executor.submit(_run_tool, ...) regression
regardless of which file the body lives in.
tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing
test_auxiliary_client failure as before).
run_agent.py: 14309 -> 13461 lines (-848).
Move the background-review subsystem (the self-improvement loop — see the
README) out of run_agent.py into a dedicated module.
* summarize_background_review_actions — was the @staticmethod that builds
the user-facing action summary
* spawn_background_review_thread — builds the thread target + prompt;
the actual review loop body (forked AIAgent, runtime inheritance,
tool whitelist, suppression, teardown) lives in _run_review_in_thread
* build_memory_write_metadata — provenance for external memory mirrors
AIAgent keeps thin wrappers for backward compatibility AND because tests
patch run_agent.threading.Thread to assert lifecycle behavior — the
threading.Thread construction stays in AIAgent._spawn_background_review,
the inner work moves out.
tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing failure
(test_auxiliary_client.py::test_custom_endpoint... — confirmed failing
on main before this change). 3 skipped.
run_agent.py: 15272 -> 14972 lines (-300).
Three small extractions into focused modules:
* agent/process_bootstrap.py — \_OpenAIProxy (lazy openai.OpenAI import),
\_SafeWriter (broken-pipe-resistant stdio wrapper), \_install_safe_stdio,
\_get_proxy_from_env, \_get_proxy_for_base_url. All process / IO bootstrap.
* agent/iteration_budget.py — IterationBudget class (thread-safe consume/
refund counter shared by parent agent and subagents).
run_agent re-exports every name so existing test patches like
patch('run_agent.OpenAI', ...) and 'from run_agent import IterationBudget'
keep working unchanged. Verified the patch-rebinding contract for OpenAI
explicitly.
tests/run_agent/ + tests/agent/test_gemini_fast_fallback.py:
1347 passed, 3 skipped.
run_agent.py: 15427 -> 15261 lines (-166).
Pull the 10 pure sanitization/repair helpers (\_sanitize_surrogates,
\_sanitize_structure_surrogates, \_sanitize_messages_surrogates,
\_escape_invalid_chars_in_json_strings, \_repair_tool_call_arguments,
\_strip_non_ascii, \_sanitize_messages_non_ascii, \_sanitize_tools_non_ascii,
\_strip_images_from_messages, \_sanitize_structure_non_ascii) and the
\_SURROGATE_RE constant out of run_agent.py into a new module.
These are stateless byte-walking helpers with no AIAgent dependency.
Backward compatibility: run_agent re-exports every name via a single
import block, so existing 'from run_agent import _sanitize_surrogates'
imports in tests and cli.py keep working unchanged. Same pattern the
file already uses for _summarize_user_message_for_log (codex_responses_adapter).
run_agent.py: 16077 -> 15682 lines (-395).
After context compression, the protected tail messages retain their
original image parts. When those include multi-MB pasted screenshots,
every subsequent API request re-ships the same base-64 blobs forever —
which can push the request past provider body-size limits and wedge the
session even though compression 'succeeded'.
Add _strip_historical_media() to agent/context_compressor.py. After the
summary is built, find the newest user message that carries an image
part and replace image parts in every earlier message with a short
text placeholder ('[Attached image — stripped after compression]').
The newest image-bearing user turn keeps its media so the model can
still analyse what the user just sent.
Handles all three multimodal shapes:
- OpenAI chat.completions image_url
- OpenAI Responses API input_image
- Anthropic native {type: image, source: ...}
Includes 27 unit tests covering the helpers and the end-to-end
compress() integration, plus a manual E2E check confirming a ~4MB
two-image conversation shrinks to ~2MB after compression.
Port from anomalyco/opencode#24730: Moonshot's JSON Schema validator rejects
two shapes that the rest of the JSON Schema ecosystem accepts:
1. $ref nodes with sibling keywords. Moonshot expands the reference before
validation and then rejects the node if keys like `description`, `type`,
or `default` appear alongside $ref. MCP-sourced tool schemas commonly
put a `description` on $ref-typed properties so the model sees the
field hint — which worked on every provider except Moonshot.
2. Tuple-style `items` arrays (positional element schemas). Moonshot's
engine requires ONE schema applied to every array element. Common in
tool schemas generated from Go/Protobuf that model fixed-length arrays
as `[{type:number}, {type:number}]`.
Repairs applied in `agent/moonshot_schema.py`:
- Rule 3: when a node has `$ref`, return `{"$ref": <value>}` only
(strip every sibling). The referenced definition still carries its own
description on the target node, which Moonshot accepts.
- Rule 4: when `items` is a list, collapse to the first element schema
(falling back to `{}` which is then filled by the generic missing-type
rule). Preserves `minItems` / `maxItems` / other siblings.
Tests: 10 new cases across TestRefSiblingStripping + TestTupleItems,
plus the existing TestMissingTypeFilled::test_ref_node_is_not_given_synthetic_type
still passes (it asserted plain $ref passes through; now it passes through
as exactly `{"$ref": "..."}` which is strictly compatible).
All 35 tests in test_moonshot_schema.py pass.
Group the secrets import with time and webbrowser at the top of
run_hermes_oauth_login_pure(), matching the existing pattern.
Drop the _secrets alias — no name conflict in this scope.
The PKCE flow reused the code_verifier as the OAuth state parameter.
Per RFC 6749 §10.12 and RFC 7636, these serve different purposes:
state is an anti-CSRF token visible in the authorization URL; the
code_verifier must remain secret for the token exchange.
Generate an independent secrets.token_urlsafe(32) for state and
validate it on callback to provide actual CSRF protection.
Closes#10693
Follow-up improvements on top of @konsisumer's cherry-picked fix for #10648:
1. Deprecation patterns required BOTH a product fingerprint ('gh-copilot') and
a deprecation marker. The previous list included 'copilot-cli' and bare
'deprecation', which would false-positive on stderr from the NEW
@github/copilot CLI — whose repo is literally github.com/github/copilot-cli
and which legitimately surfaces those substrings in its own messages.
2. Replace the deprecation hint. The user in #10648 installed
'gh extension install github/gh-copilot' (the deprecated extension)
thinking that's what ACP mode uses, when ACP actually spawns the new
'copilot' binary from '@github/copilot'. The hint now points users at the
correct install command ('npm install -g @github/copilot') with the new
CLI's repo URL, and demotes provider-switching to a fallback alternative.
3. Change _URL_TO_PROVIDER value for models.inference.ai.azure.com from the
'github-models' alias to the canonical 'copilot' provider id, matching the
convention used by every other entry in the table.
4. Sharpen the 413 hint message. The free tier's ~8K cap is below the
system-prompt floor, so this endpoint is fundamentally incompatible with
an agentic loop — not a 'use a different URL' problem.
Tests:
- New parametrized false-positive coverage for the new CLI's stderr shape.
- Updated assertion to require canonical 'copilot' provider mapping.
- All 14 deprecation/URL tests pass.
Address two blocking issues when using GitHub Copilot integrations:
1. ACP mode: detect the gh-copilot CLI deprecation error from stderr
and surface an actionable message with alternatives instead of
hanging or showing a cryptic error.
2. GitHub Models (Azure) 413: recognize models.inference.ai.azure.com
as a known GitHub Models URL, and print a targeted hint explaining
the hard 8K token limit that makes this endpoint incompatible with
Hermes' system prompt size.
Don Piedro's 18-minute hang on grok-4.3 traced to two issues PR #26644
didn't cover:
- _recover_with_credential_pool classifies 403 as FailoverReason.auth
and calls pool.try_refresh_current(). For xAI OAuth on an
unsubscribed account, refresh succeeds (mints a new token from the
same account) but the next API call 403s with the same entitlement
error. Result: infinite refresh → retry → 403 loop until Ctrl+C
(1133s in Don's log). New _is_entitlement_failure(error_context,
status_code) detects the subscription-shape body ("do not have an
active Grok subscription" / "out of available resources" + grok /
"does not have permission" + grok) and short-circuits recovery so
_summarize_api_error surfaces PR #26644's friendly hint.
- grok-4.3 resolved to 256k via the grok-4 catch-all in
DEFAULT_CONTEXT_LENGTHS. Per docs.x.ai/developers/models/grok-4.3
the model ships with 1M context. Add explicit grok-4.3 entry
before the grok-4 fallback (longest-first substring matching
ensures grok-4.3 and grok-4.3-latest both land on the new value).
Tests: 8 new (23 total in test_codex_xai_oauth_recovery.py).
E2E verified Don's 100-iteration loop bails out with 0 refresh calls
while genuine auth failures still refresh once and recover.
The cherry-picked PR #15251 from @tw2818 correctly identified the
DeepSeek 400 root cause but placed the fix in the legacy fallback path
of `build_kwargs`, which DeepSeek never reaches — DeepSeek has a
registered ProviderProfile and goes through `_build_kwargs_from_profile`
instead. The legacy-path block was therefore dead code.
This commit pivots the fix to where it actually fires:
- New `DeepSeekProfile` in `plugins/model-providers/deepseek/__init__.py`
overrides `build_api_kwargs_extras` to emit DeepSeek's expected wire
format (mirrors `KimiProfile`):
{"reasoning_effort": "<low|medium|high|max>",
"extra_body": {"thinking": {"type": "enabled" | "disabled"}}}
- Model gating: only `deepseek-v4-*` and `deepseek-reasoner` emit
thinking control. `deepseek-chat` (V3) is untouched — current behavior.
- Effort mapping: low/medium/high passthrough, xhigh/max → max, unset →
omitted (DeepSeek server applies its own default).
- Revert the legacy-path additions from PR #15251 — they were dead code,
and the `_copy_reasoning_content_for_api` strip block specifically
would have nullified the existing reasoning_content padding machinery
(`_needs_deepseek_tool_reasoning` → space-pad on replay) that the
active provider already relies on for replay correctness.
- Unit tests pin the wire-shape contract and the model gating rules
(26 tests, all passing). Existing transport + provider profile suites
(321 tests) continue to pass.
- AUTHOR_MAP: map twebefy@gmail.com → tw2818 for release notes credit.
Closes#15700, #17212, #17825.
Co-authored-by: tw2818 <twebefy@gmail.com>
DeepSeek's thinking mode requires both:
- extra_body.thinking.type: "enabled" to activate thinking mode
- top-level reasoning_effort: "max" or "high" to control depth
Previously, the ChatCompletionsTransport only handled Kimi's thinking
mode — DeepSeek was left unmapped, so reasoning_effort config was
silently dropped.
This patch:
1. Adds is_deepseek: bool to the Params dataclass, detected by
base_url matching api.deepseek.com
2. Maps Hermes effort levels (xhigh/max → "max", low/medium/high →
themselves) to the top-level reasoning_effort parameter
3. Sets extra_body.thinking.type alongside the effort
4. Strips reasoning_content from assistant messages sent back to
DeepSeek, preventing 400 errors when thinking was enabled
Three fixes for the May 2026 xAI OAuth (SuperGrok / X Premium) rollout
failures:
- _run_codex_stream: when openai SDK raises RuntimeError("Expected to
have received `response.created` before `<type>`"), retry once then
fall back to responses.create(stream=True) — same path used for
missing-response.completed postlude. Fallback surfaces the real
provider error with body+status_code intact. Also fixes#8133
(response.in_progress prelude on custom relays) and #14634
(codex.rate_limits prelude on codex-lb).
- _summarize_api_error: when error body matches xAI's entitlement
shape, append a one-line hint pointing to https://grok.com and
/model. Once-only, applies to both auxiliary warnings and
main-loop error surfacing.
- _chat_messages_to_responses_input: new is_xai_responses kwarg
drops replayed codex_reasoning_items (encrypted_content) before
they reach xAI. Also drops reasoning.encrypted_content from the
xAI include array. Native Codex behavior unchanged. Grok still
reasons natively each turn; coherence rides on visible message
text alone.
Closes#8133, #14634.
The top-of-file scope docstring listed delegate_task, memory, and
session_search as exposed tools, but EXPOSED_TOOLS deliberately omits
them (they're _AGENT_LOOP_TOOLS and require the running AIAgent context
to dispatch — the inline comment block already explains this). Kanban
tools, which ARE exposed, were missing from the docstring entirely.
Rewrite the Scope / DO NOT expose sections to match the actual tuple:
drop delegate_task/memory/session_search from 'expose', add the
kanban_* family, move delegate_task/memory/session_search/todo into
'DO NOT expose' with the agent-loop rationale.
Fixes#26567 (doc-only fix; option 2 — shimming memory/session_search
through MemoryStore/SessionDB directly — left for a follow-up issue
once the plugin-memory locking story is audited).
Wraps every sync->async coroutine-scheduling site in the codebase with a
new agent.async_utils.safe_schedule_threadsafe() helper that closes the
coroutine on scheduling failure (closed loop, shutdown race, etc.)
instead of leaking it as 'coroutine was never awaited' RuntimeWarnings
plus reference leaks.
22 production call sites migrated across the codebase:
- acp_adapter/events.py, acp_adapter/permissions.py
- agent/lsp/manager.py
- cron/scheduler.py (media + text delivery paths)
- gateway/platforms/feishu.py (5 sites, via existing _submit_on_loop helper
which now delegates to safe_schedule_threadsafe)
- gateway/run.py (10 sites: telegram rename, agent:step hook, status
callback, interim+bg-review, clarify send, exec-approval button+text,
temp-bubble cleanup, channel-directory refresh)
- plugins/memory/hindsight, plugins/platforms/google_chat
- tools/browser_supervisor.py (3), browser_cdp_tool.py,
computer_use/cua_backend.py, slash_confirm.py
- tools/environments/modal.py (_AsyncWorker)
- tools/mcp_tool.py (2 + 8 _run_on_mcp_loop callers converted to
factory-style so the coroutine is never constructed on a dead loop)
- tui_gateway/ws.py
Tests: new tests/agent/test_async_utils.py covers helper behavior under
live loop, dead loop, None loop, and scheduling exceptions. Regression
tests added at three PR-original sites (acp events, acp permissions,
mcp loop runner) mirroring contributor's intent.
Live-tested end-to-end:
- Helper stress test: 1500 schedules across live/dead/race scenarios,
zero leaked coroutines
- Race exercised: 5000 schedules with loop killed mid-flight, 100 ok /
4900 None returns, zero leaks
- hermes chat -q with terminal tool call (exercises step_callback bridge)
- MCP probe against failing subprocess servers + factory path
- Real gateway daemon boot + SIGINT shutdown across multiple platform
adapter inits
- WSTransport 100 live + 50 dead-loop writes
- Cron delivery path live + dead loop
Salvages PR #2657 — adopts contributor's intent over a much wider site
list and a single centralized helper instead of inline try/except at
each site. 3 of the original PR's 6 sites no longer exist on main
(environments/patches.py deleted, DingTalk refactored to native async);
the equivalent fix lives in tools/environments/modal.py instead.
Co-authored-by: JithendraNara <jithendranaidunara@gmail.com>
The xAI prompt_cache_key block carried two long comment paragraphs
that either restated setdefault semantics, narrated the SDK
type-validation mechanism, or recapped the historical motivation for
the extra_body indirection — all already covered by the test
docstring at test_xai_responses_sends_cache_key_via_extra_body
(which links to the xAI docs). Also restored the truncated link in
the body-injection comment.
No behavior change.
Adds a new authentication provider that lets SuperGrok subscribers sign
in to Hermes with their xAI account via the standard OAuth 2.0 PKCE
loopback flow, instead of pasting a raw API key from console.x.ai.
Highlights
----------
* OAuth 2.0 PKCE loopback login against accounts.x.ai with discovery,
state/nonce, and a strict CORS-origin allowlist on the callback.
* Authorize URL carries `plan=generic` (required for non-allowlisted
loopback clients) and `referrer=hermes-agent` for best-effort
attribution in xAI's OAuth server logs.
* Token storage in `auth.json` with file-locked atomic writes; JWT
`exp`-based expiry detection with skew; refresh-token rotation
synced both ways between the singleton store and the credential
pool so multi-process / multi-profile setups don't tear each other's
refresh tokens.
* Reactive 401 retry: on a 401 from the xAI Responses API, the agent
refreshes the token, swaps it back into `self.api_key`, and retries
the call once. Guarded against silent account swaps when the active
key was sourced from a different (manual) pool entry.
* Auxiliary tasks (curator, vision, embeddings, etc.) route through a
dedicated xAI Responses-mode auxiliary client instead of falling back
to OpenRouter billing.
* Direct HTTP tools (`tools/xai_http.py`, transcription, TTS, image-gen
plugin) resolve credentials through a unified runtime → singleton →
env-var fallback chain so xai-oauth users get them for free.
* `hermes auth add xai-oauth` and `hermes auth remove xai-oauth N` are
wired through the standard auth-commands surface; remove cleans up
the singleton loopback_pkce entry so it doesn't silently reinstate.
* `hermes model` provider picker shows
"xAI Grok OAuth (SuperGrok Subscription)" and the model-flow falls
back to pool credentials when the singleton is missing.
Hardening
---------
* Discovery and refresh responses validate the returned
`token_endpoint` host against the same `*.x.ai` allowlist as the
authorization endpoint, blocking MITM persistence of a hostile
endpoint.
* Discovery / refresh / token-exchange `response.json()` calls are
wrapped to raise typed `AuthError` on malformed bodies (captive
portals, proxy error pages) instead of leaking JSONDecodeError
tracebacks.
* `prompt_cache_key` is routed through `extra_body` on the codex
transport (sending it as a top-level kwarg trips xAI's SDK with a
TypeError).
* Credential-pool sync-back preserves `active_provider` so refreshing
an OAuth entry doesn't silently flip the active provider out from
under the running agent.
Testing
-------
* New `tests/hermes_cli/test_auth_xai_oauth_provider.py` (~63 tests)
covers JWT expiry, OAuth URL params (plan + referrer), CORS origins,
redirect URI validation, singleton↔pool sync, concurrency races,
refresh error paths, runtime resolution, and malformed-JSON guards.
* Extended `test_credential_pool.py`, `test_codex_transport.py`, and
`test_run_agent_codex_responses.py` cover the pool sync-back,
`extra_body` routing, and 401 reactive refresh paths.
* 165 tests passing on this branch via `scripts/run_tests.sh`.
When the auxiliary client falls through Nous (e.g. no stored auth, or
runtime credential mint failed), users currently see only `debug`-level
lines, so the next provider in the fallback chain takes over silently.
Promote the no-auth path to a warning that tells operators to run
`hermes auth`, and add a debug breadcrumb on the rarer
mint-failed-but-stored-auth-still-present fallback path so the existing
behavior (use the raw stored token) is preserved while staying
investigable.
Salvaged from #23881 by @0xharryriddle. The contributor's original
patch also short-circuited the second branch with a return, which broke
the pool-entry fallback path covered by
`test_try_nous_uses_pool_entry` — kept the warning intent, dropped the
return so the fallback still works. Dropped the contributor's changes
to `hermes_cli/goals.py` because the goal-pause path is unreachable
when the auxiliary client is None (`judge_goal` returns
`parse_failed=False`, which resets `consecutive_parse_failures`),
so the reason string they added never surfaces in the pause message.
Refs #23876
Pre-existing diagnostics below an edit point used to surface as 'LSP
diagnostics introduced by this edit' whenever the edit deleted or
inserted lines. The delta-filter key included the diagnostic's
range, so the same logical error reported at a different line in
the post-edit snapshot looked like a brand new diagnostic.
Concrete case: deleting 14 lines in cli.py caused Pyright errors at
lines 9873, 10590, 12413, 13004 (unrelated to the edit) to be
reported as introduced by it.
Fix: build a piecewise-linear line-shift map (via difflib's
SequenceMatcher) from pre and post content, and remap baseline
diagnostics into post-edit coordinates before the set-difference.
Diagnostics in deleted regions drop out cleanly; diagnostics below
the edit shift by the right amount; diagnostics above are untouched.
The strict (range-aware) equality key stays — so a genuinely new
instance of an identical error class at a different line still
surfaces as new.
Pieces:
- agent/lsp/range_shift.py — build_line_shift, shift_diagnostic_range,
shift_baseline. Pure functions, no LSP state.
- agent/lsp/manager.py — LSPService.get_diagnostics_sync gains an
optional line_shift kwarg; baseline is shift_baseline'd before
computing the seen-set. _diag_key keeps the strict range key.
- tools/file_operations.py — write_file captures pre_content for any
LSP-handled extension (not just LINTERS_INPROC) and passes pre/post
to _maybe_lsp_diagnostics, which builds the shift map.
- New _lsp_handles_extension helper guards the pre_content read.
Trade-offs preserved:
- Genuinely new same-class errors at different lines still surface
(content-only key would have swallowed them).
- Pre-existing errors at unshifted positions still get filtered
(covered by the strict-key path with no shift).
- Best-effort: when pre_content can't be captured (file didn't
exist, permissions), the unshifted comparison still catches
most pre-existing errors; the edge case it misses is a new file
with a non-empty baseline, which is structurally impossible.
When codex app-server fails outside the OAuth-classified path
(non-auth turn/start errors, plain TimeoutErrors, generic turn-ended
status, subprocess silently exits, hard deadline timeout), the user
got a bare 'Internal error' / 'turn/start failed: ...' with no
context. Diagnosing config/provider/auth-bridge issues forced a
re-run with verbose codex flags.
Add a _format_error_with_stderr helper that appends the last few
stderr lines via agent.redact.redact_sensitive_text(force=True),
and use it at every catch-all error site:
- ensure_started() failures (codex init / thread/start) now return
a TurnResult.error with should_retire=True instead of bubbling
- non-OAuth turn/start CodexAppServerError / TimeoutError
- subprocess-died branch (previously dumped raw stderr_blob[-300:]
with no redaction — a leak risk)
- turn ended with non-completed status
- hard turn-timeout deadline
OAuth-classified failures and the post-tool quiet watchdog already
produce clean hints and stay unchanged. The redactor catches sk-*,
gh*_*, Authorization: Bearer, query-string tokens, JWTs, private
keys, etc., so provider error payloads can't leak into chat output
or trajectories.
Inspired by openclaw#80718, adapted for our app-server transport.
_make_stream_chunk built delta_kwargs with only `role`, so a reasoning-only
chunk produced a SimpleNamespace without a `.content` attribute. Downstream
consumers that read `delta.content` then raised AttributeError on Gemini 2.5
Flash, where the thinking delta arrives before any content delta.
Seed `content`, `tool_calls`, `reasoning`, and `reasoning_content` as None
up front, matching the pattern already used in gemini_native_adapter.py.
Key-present arguments still override the defaults.
Fixes#24974
References: Related open PR #24984 (luyao618) applies the same 1-line fix; this PR adds a regression test that #24984 omits
Co-Authored-By: Claude <noreply@anthropic.com>
Mirrors openclaw beta.8's app-server resilience fixes so a stuck codex
subprocess can't burn the full turn deadline and so users get a
`codex login` pointer instead of raw RPC errors when their token expires.
- TurnResult.should_retire signals the caller to drop+respawn codex.
- Deadline-hit path and dead-subprocess detection set should_retire so
the next turn doesn't ride a CPU-spinning or auth-broken process.
- Post-tool watchdog (post_tool_quiet_timeout=90s): if a tool item
completes and codex goes silent past the threshold without further
output or turn/completed, fast-fail instead of waiting the full 600s.
Resets on any non-tool activity so normal think-after-tool flows are
not affected.
- <turn_aborted> and <turn_aborted/> in agent text are treated as
terminal — some codex builds tear down a turn that way without
emitting turn/completed.
- _classify_oauth_failure() inspects RPC error message + stderr tail
for invalid_grant / token refresh / 401 / etc. and rewrites
user-facing errors to 'run codex login'. Conservative: generic
failures still surface verbatim. Fires at turn/start failure,
turn/completed failure, and dead-subprocess paths.
- thread/start cross-fill: tolerate thread.id, thread.sessionId,
top-level sessionId/threadId so future codex schema drift doesn't
KeyError us at handshake.
- run_agent.py: when run_turn returns should_retire=True OR raises,
close + null self._codex_session so the next turn respawns.
Tests: +30 cases across session + integration suites.
tests/agent/transports/test_codex_app_server_session.py 50/50 pass
tests/run_agent/test_codex_app_server_integration.py 27/27 pass
Broader codex scope (transports + cli runtime/migration) 376/376 pass
Add NovitaAI as a first-class provider with dedicated model selection
flow, live pricing, and authoritative context length resolution.
- Register provider in PROVIDER_REGISTRY, HERMES_OVERLAYS, and all
alias/label maps (ID: novita, aliases: novita-ai, novitaai)
- Add dedicated _model_flow_novita() with 3-tier model list fallback:
Novita API → models.dev → static curated list
- Fetch live pricing from /v1/models with correct unit conversion
(input_token_price_per_m is 0.0001 USD per Mtok)
- Add Novita-specific context length resolution (step 4b) in
get_model_context_length(), prioritized over models.dev/OpenRouter
- Register api.novita.ai in _URL_TO_PROVIDER to prevent early return
from the custom-endpoint code path
- Add models.dev mapping (novita → novita-ai)
- Add default auxiliary model (deepseek/deepseek-v3-0324)
- Add NOVITA_API_KEY to test isolation (conftest.py)
- Update docs: providers page, env vars reference, CLI reference,
.env.example, README, and landing page
When the auxiliary client fallback chain reaches a provider that has no
credentials configured (no API key, no pool entry), the current code
just returns (None, None) which counts toward the per-call timeout
budget on the next attempt. Mark the provider unhealthy with a short
TTL so the chain advances quickly to the next viable option.
Closes#25384.
Salvage of #25395 by @AllynSheep.
Self-review of the plugin migration surfaced one warning and a handful of
doc/dead-code cleanups. None affect production behaviour through the main
dispatcher (which always calls `tools.web_tools._get_backend()` first and
preserves the full 7-provider walk), but direct callers of
`agent.web_search_registry.get_active_*_provider()` previously diverged
from the legacy order and could return `None` for users with credentials
but no explicit `web.backend` config key.
Changes
-------
1. `_LEGACY_PREFERENCE` was shipped as a 4-tuple
`("brave-free", "firecrawl", "searxng", "ddgs")` while the PR
description and the legacy `_get_backend()` candidate order both
call for the 7-tuple
`(firecrawl, parallel, tavily, exa, searxng, brave-free, ddgs)`.
Replaced with the 7-tuple. Verified empirically: with TAVILY+EXA keys
and no config, `get_active_search_provider()` now returns tavily
(was None); with EXA+PARALLEL it returns parallel (was None); with
BRAVE+FIRECRAWL it returns firecrawl (was brave-free).
2. `agent/web_search_registry.py` — module docstring, `_resolve` step-3
docstring, and inline comment all listed the old 4-tuple and claimed
"brave-free first because it was the shipped default". The legacy
default is `"firecrawl"`. Rewritten to match the new ordering and
reference `tools.web_tools._get_backend()` as the source of truth.
3. `agent/web_search_registry.py` — `get_active_crawl_provider`
docstring said "only Tavily implements it among built-in providers".
Firecrawl also advertises `supports_crawl=True` after the previous
commit. Updated to "Tavily and Firecrawl".
4. `plugins/web/tavily/provider.py` — module docstring said "Tavily is
the only built-in backend that natively crawls". Updated.
5. `agent/web_search_provider.py` — ABC docstring mentioned only
`search` / `extract` capabilities. Added `crawl` for accuracy.
6. `plugins/web/{firecrawl,parallel,exa}/provider.py` — dead plugin-level
cache globals (`_firecrawl_client`, `_parallel_client`,
`_async_parallel_client`, `_exa_client`) were declared but never read
(all reads/writes go through `_wt.*` per the `extracting-inline-
helpers-to-plugins` recipe). Removed the dead declarations; the
reset-for-tests helpers in firecrawl + parallel now clear the
canonical `_wt._<name>` slots, matching the pattern exa already used.
Tests
-----
218/218 web-targeted tests still pass (no test changes needed). 4910/4910
in `tests/tools/` still green.
Removes the legacy in-tree provider scaffolding that PR #25182 fully
replaced with the plugin architecture:
tools/web_providers/__init__.py (6 lines)
tools/web_providers/base.py (89 lines — old ABCs)
tools/web_providers/ARCHITECTURE.md (73 lines — old design doc)
These were the staging-ground ABCs and provider modules that the
plugin migration absorbed. All seven web providers now implement the
single :class:`agent.web_search_provider.WebSearchProvider` ABC and
live under ``plugins/web/<vendor>/``. Nothing else in the tree imports
``tools.web_providers`` — verified via grep before deletion.
Test migration (tests/tools/test_web_providers.py)
--------------------------------------------------
Rewrote ``TestWebProviderABCs`` to test the new unified ABC at
:mod:`agent.web_search_provider`:
- test_cannot_instantiate_abc_directly — abstract ``name`` + ``is_available``
- test_concrete_search_only_provider_works — exercise default
``supports_extract=False`` / ``supports_crawl=False`` flags
- test_concrete_multi_capability_provider_works — exercise all three
capabilities, async extract supported (declared sync here for
simplicity; real plugins like parallel + firecrawl use async)
- test_search_only_provider_skips_extract_and_crawl — verify
``supports_*()`` flags default to False so search-only providers
don't have to implement extract() or crawl()
The 9 other tests in the file (per-capability backend selection,
DEFAULT_CONFIG merge, dispatcher routing) test public helpers in
``tools.web_tools`` that still exist and pass unchanged.
agent/web_search_provider.py docstring updated to reflect that the
legacy ABCs no longer exist; the response-shape contract is preserved
bit-for-bit so external consumers see no behavioral change.
Net diff
--------
- tools/web_providers/ removed (-168 lines)
- tests/tools/test_web_providers.py rewritten ABC section (+78/-30 net,
same coverage, new API)
- agent/web_search_provider.py docstring (-3/+5 lines)
Verified
--------
- 173/173 targeted web tests pass
- 12/12 ABC contract tests pass with the new interface
- No remaining grep hits for ``tools.web_providers`` outside of
intentional historical references in plugin docstrings.
Two ABC additions to cover the surface area of the remaining four
providers (exa, parallel, tavily, firecrawl) which were untouched by the
initial spike:
1. supports_crawl() + crawl() — Tavily natively crawls a seed URL via
its /crawl endpoint. Exposing supports_crawl=True lets the crawl
tool's dispatcher route to Tavily when configured, falling back to
the auxiliary-model summarization path otherwise. Firecrawl could
add this in a follow-up (the SDK supports it; we just don't surface
it as a tool today).
2. Async-or-sync extract() — Parallel's SDK is natively async
(AsyncParallel.beta.extract); Exa and Tavily are sync; Firecrawl is
sync but called inside asyncio.to_thread() with a 60s timeout. The
ABC docstring now permits either shape: implementations declare
their own sync/async signature and the dispatcher uses
inspect.iscoroutinefunction to detect and await.
Also adds get_active_crawl_provider() to web_search_registry mirroring
the search/extract resolvers, with web.crawl_backend as the explicit
override config key.
No behavior change on its own — these are scaffolds for the four
remaining provider migrations.
Both web_search_registry._resolve() and image_gen_registry.get_active_provider()
walked their registered providers and returned the first one matching the
capability flag — without checking whether that provider was actually
usable. On a fresh install with no credentials at all, this meant
get_active_search_provider() returned `brave-free` (legacy preference
order) even though BRAVE_SEARCH_API_KEY was unset, leading the
dispatcher to surface a "BRAVE_SEARCH_API_KEY is not set" error for a
provider the user never chose. Same bug shape in image_gen for FAL.
Resolution semantics now match tools.web_tools._get_backend():
1. Explicit config name wins, ignoring is_available() — the dispatcher
surfaces a precise "X_API_KEY is not set" error rather than silently
switching backends. Matches user expectation: "I configured X, tell
me what's wrong with X."
2. Fallback (no explicit config) walks the legacy preference order
filtered by is_available() — pick the highest-priority backend the
user actually has credentials for.
is_available() is wrapped in a try/except so a buggy provider doesn't
brick resolution.
E2E verified:
- No creds + no config: get_active_search_provider() -> None
- Explicit brave-free + no key: get_active_search_provider() -> brave-free
(and .is_available() correctly reports False)
This fix was identified during the spike (#25182 finding #1) and is
fold-in to the same PR rather than a follow-up.
Follow-up on the salvaged feat commit:
- Keep the constructor / config / yaml-example default at 3 so existing
gateway and CLI users see no behavioural change. PR #13754 (which this
builds on) had lowered the default to 2 to chase pre-feature parity in
the system-prompt-present case, at the cost of quietly halving the
protected head for the gateway path (which strips the system prompt
before calling compress()). With the new "system prompt is implicit"
semantics, default 3 gives every caller a stable head shape.
- agent/context_engine.py: bring the ABC's protect_first_n docstring in
line with the new semantics so plugin context engines interpret the
config key the same way the built-in compressor does.
- tests: adjust the default-value test (3, not 2) and a stale comment;
per-test protect_first_n=2/3/1 values added in PR #13754 stay as-is
since those tests fix concrete head shapes.
The number of head messages preserved verbatim across context compactions
was previously hardcoded to 3 in AIAgent.__init__. Expose it as
`compression.protect_first_n` in config, matching the existing
`protect_last_n` pattern.
Motivation: users who rely on rolling compaction for long-running sessions
had the opening user/assistant exchange pinned as head forever, which
doesn't always match how they want the session framed after many
compactions. Lowering to 1 preserves the system prompt + first non-system
message; lowering to 0 preserves only the system prompt and lets the
entire first exchange age out naturally through the summary.
Semantics: `protect_first_n` counts non-system head messages protected
**in addition to** the system prompt, which is always implicitly protected
when present. Same meaning across both code paths:
protect_first_n=0 → system prompt only (or nothing if no system message)
protect_first_n=2 → system prompt + first 2 non-system messages (default)
This unifies the CLI path (which reads messages with the system prompt at
position 0) and the gateway path (where the gateway /compress handler
strips the system prompt before calling compress() — see
gateway/run.py L9150-9154 on the parent fork). Previously these two paths
disagreed:
CLI path: protect_first_n=1 → protect system prompt only
Gateway path: protect_first_n=1 → protect first USER turn forever
In practice on long-running gateway sessions the old semantics pinned
whatever stale aside happened to be the first user message, reinserting
it into every compaction summary indefinitely.
Default chosen as 2 (not 3) so that the effective protected head count
remains 3 messages in the common case — assuming a system prompt is
present, default protection becomes system + 2 non-system = 3 total,
matching the pre-feature behaviour where `protect_first_n` was hardcoded
to protect 3 messages total. Sessions without a system prompt will see a
small behaviour change (2 protected head messages instead of 3), but this
is the rare path and the new semantics make the system-prompt-present
case the well-defined one.
Changes:
- agent/context_compressor.py: redefine protect_first_n as the count of
non-system head messages protected beyond the implicit system-prompt
guarantee; both paths converge. Constructor default updated to 2.
- hermes_cli/config.py: add `compression.protect_first_n` default (2),
matching the new semantics. `show_config` label tweaked to
'Protect first: N non-system head messages' for clarity.
- run_agent.py: read protect_first_n from config; 0 is now valid (system
prompt is always implicitly protected).
- cli-config.yaml.example: document the new key and rationale.
- tests/agent/test_context_compressor.py: cover default, override, the
end-to-end `protect_first_n=0` and `protect_first_n=1` behaviour,
the no-system-prompt (gateway) path, and the new shared-semantics
regression test.
Fixes#13751
Tested on Ubuntu 24.04.
* feat(codex-runtime): scaffold optional codex app-server runtime
Foundational commit for an opt-in alternate runtime that hands OpenAI/Codex
turns to a 'codex app-server' subprocess instead of Hermes' tool dispatch.
Default behavior is unchanged.
Lands in three pieces:
1. agent/transports/codex_app_server.py — JSON-RPC 2.0 over stdio speaker
for codex's app-server protocol (codex-rs/app-server). Spawn, init
handshake, request/response, notification queue, server-initiated
request queue (for approval round-trips), interrupt-friendly blocking
reads. Tested against real codex 0.130.0 binary end-to-end during
development.
2. hermes_cli/runtime_provider.py:
- Adds 'codex_app_server' to _VALID_API_MODES.
- Adds _maybe_apply_codex_app_server_runtime() helper, called at the
end of _resolve_runtime_from_pool_entry(). Inert unless
'model.openai_runtime: codex_app_server' is set in config.yaml AND
provider in {openai, openai-codex}. Other providers cannot be
rerouted (anthropic, openrouter, etc. preserved).
3. tests/agent/transports/test_codex_app_server_runtime.py — 24 tests
covering api_mode registration, the rewriter helper (default-off,
case-insensitive, opt-in, non-eligible providers preserved), version
parser, missing-binary handling, error class. Does NOT require codex
CLI installed.
This commit is wire-only: the api_mode is recognized but AIAgent does
not yet branch on it. Followup commits add the session adapter, event
projector, approval bridge, transcript projection (so memory/skill
review still works), plugin migration, and slash command.
Existing tests remain green:
- tests/cli/test_cli_provider_resolution.py (29 passed)
- tests/agent/test_credential_pool_routing.py (included above)
* feat(codex-runtime): add codex item projector for memory/skill review
The translator that lets Hermes' self-improvement loop keep working under the
Codex runtime: converts codex 'item/*' notifications into Hermes' standard
{role, content, tool_calls, tool_call_id} message shape that
agent/curator.py already knows how to read.
Item taxonomy (matches codex-rs/app-server-protocol/src/protocol/v2/item.rs):
- userMessage → {role: user, content}
- agentMessage → {role: assistant, content: text}
- reasoning → stashed in next assistant's 'reasoning' field
- commandExecution → assistant tool_call(name='exec_command') + tool result
- fileChange → assistant tool_call(name='apply_patch') + tool result
- mcpToolCall → assistant tool_call(name='mcp.<server>.<tool>') + tool result
- dynamicToolCall → assistant tool_call(name=<tool>) + tool result
- plan/hookPrompt/etc → opaque assistant note, no fabricated tool_calls
Invariants preserved:
- Message role alternation never violated: each tool item produces at most
one assistant + one tool message in that order, correlated by call_id.
- Streaming deltas (item/<type>/outputDelta, item/agentMessage/delta)
don't materialize messages — only item/completed does. Mirrors how
Hermes already only writes the assistant message after streaming ends.
- Tool call ids are deterministic (codex item id-based) so replays produce
identical messages and prefix caches stay valid (AGENTS.md pitfall #16).
- JSON args use sorted_keys for the same reason.
Real wire formats verified against codex 0.130.0 by capturing live
notifications from thread/shellCommand and including one as a fixture
(COMMAND_EXEC_COMPLETED).
23 new tests, all green:
- Streaming deltas don't materialize (3 paths)
- Turn/thread frame events are silent
- commandExecution: 5 tests including non-zero exit annotation +
deterministic id stability across replays
- agentMessage + reasoning attachment + reasoning consumption
- fileChange: summary without inlined content
- mcpToolCall: namespaced naming + error surfacing
- userMessage: text fragments only (drops images/etc)
- opaque items: no fabricated tool_calls
- Helpers: deterministic id stability + sorted JSON args
- Role alternation invariant across all four tool-shaped item types
This commit is a pure addition. AIAgent integration (the wire that uses the
projector) is the next commit.
* feat(codex-runtime): add session adapter + approval bridge
The third self-contained module: CodexAppServerSession owns one Codex
thread per Hermes session, drives turn/start, consumes streaming
notifications via CodexEventProjector, handles server-initiated approval
requests, and translates cancellation into turn/interrupt.
The adapter has a single public per-turn method:
result = session.run_turn(user_input='...', turn_timeout=600)
# result.final_text → assistant text for the caller
# result.projected_messages → list ready to splice into AIAgent.messages
# result.tool_iterations → tick count for _iters_since_skill nudge
# result.interrupted → True on Ctrl+C / deadline / interrupt
# result.error → error string when the turn cannot complete
# result.turn_id, thread_id → for sessions DB / resume
Behavior:
- ensure_started() spawns codex, does the initialize handshake, and
issues thread/start with cwd + permissions profile. Idempotent.
- run_turn() blocks until turn/completed, drains server-initiated
requests (approvals) before reading notifications so codex never
deadlocks waiting for us, projects every item/completed via the
projector, and increments tool_iterations for the skill nudge gate.
- request_interrupt() is thread-safe (threading.Event); the next loop
iteration issues turn/interrupt and unwinds.
- turn_timeout deadlock guard issues turn/interrupt and records an
error if the turn never completes.
- close() escalates terminate → kill via the underlying client.
Approval bridge:
Codex emits server-initiated requests for execCommandApproval and
applyPatchApproval. The adapter translates Hermes' approval choice
vocabulary onto codex's decision vocabulary:
Hermes 'once' → codex 'approved'
Hermes 'session' or 'always' → codex 'approvedForSession'
Hermes 'deny' / anything else → codex 'denied'
Routing precedence:
1. _ServerRequestRouting.auto_approve_* flags (cron / non-interactive)
2. approval_callback wired by the CLI (defers to
tools.approval.prompt_dangerous_approval())
3. Fail-closed denial when neither is wired
Unknown server-request methods are answered with JSON-RPC error -32601
so codex doesn't hang waiting for us.
Permission profile mapping mirrors AGENTS.md:
Hermes 'auto' → codex 'workspace-write'
Hermes 'approval-required' → codex 'read-only-with-approval'
Hermes 'unrestricted/yolo' → codex 'full-access'
20 new tests, all green. Combined with prior commits this PR now has
67 tests across three modules:
- test_codex_app_server_runtime.py: 24 (api_mode + transport surface)
- test_codex_event_projector.py: 23 (item taxonomy projections)
- test_codex_app_server_session.py: 20 (turn loop + approvals + interrupts)
Full tests/agent/transports/ directory: 249/249 pass — no regressions
to existing transport tests.
Still no wire into AIAgent.run_conversation(); that integration commit
is small and goes next.
* feat(codex-runtime): wire codex_app_server runtime into AIAgent
The integration commit. AIAgent.run_conversation() now early-returns to a
new helper _run_codex_app_server_turn() when self.api_mode ==
'codex_app_server', bypassing the chat_completions tool loop entirely.
Three small surgical edits to run_agent.py (~105 LOC total):
1. Line ~1204 (constructor api_mode validation set):
Add 'codex_app_server' so an explicit api_mode='codex_app_server'
passed to AIAgent() isn't silently rewritten to 'chat_completions'.
2. Line ~12048 (run_conversation, just before the while loop):
Early-return to _run_codex_app_server_turn() when self.api_mode is
'codex_app_server'. Placed AFTER all standard pre-loop setup —
logging context, session DB, surrogate sanitization, _user_turn_count
and _turns_since_memory increments, _ext_prefetch_cache, memory
manager on_turn_start — so behavior outside the model-call loop is
identical between paths. Default Hermes flow is unchanged when the
flag is off.
3. End-of-class (line ~15497):
New method _run_codex_app_server_turn(). Lazy-instantiates one
CodexAppServerSession per AIAgent (reused across turns), runs the
turn, splices projected_messages into messages, increments
_iters_since_skill by tool_iterations (since the chat_completions
loop normally does that per iteration), fires
_spawn_background_review on the same cadence as the default path.
Counter accounting:
_turns_since_memory ← already incremented at run_conversation:11817
(gated on memory store configured) — codex
helper does NOT touch it (would double-count).
_user_turn_count ← already incremented at run_conversation:11793
— codex helper does NOT touch it.
_iters_since_skill ← incremented in the chat_completions loop per
tool iteration. Codex helper increments by
turn.tool_iterations since the loop is bypassed.
User message:
ALREADY appended to messages by run_conversation pre-loop (line 11823)
before the early-return reaches us. Helper does NOT append again.
Regression test test_user_message_not_duplicated guards this.
Approval callback wiring:
Lazy-fetches tools.terminal_tool._get_approval_callback at session
spawn time, passes to CodexAppServerSession. CLI threads with
prompt_toolkit get interactive approvals; gateway/cron contexts get
the codex-side fail-closed deny.
Error path:
Codex session exceptions become a 'partial' result with completed=False
and a final_response that explicitly tells the user how to switch back:
'Codex app-server turn failed: ... Fall back to default runtime with
/codex-runtime auto.' Same return-dict shape as the chat_completions
path so all callers (gateway, CLI, batch_runner, ACP) work unchanged.
9 new integration tests in tests/run_agent/test_codex_app_server_integration.py:
- api_mode='codex_app_server' is accepted on AIAgent construction
- run_conversation returns the expected codex shape
(final_response, codex_thread_id, codex_turn_id, completed, partial)
- Projected messages are spliced into messages list
- _iters_since_skill ticks per tool iteration
- _user_turn_count delegated to standard flow (not double-counted)
- User message appears exactly once (regression guard)
- _spawn_background_review IS invoked (memory/skill review keeps working)
- chat.completions.create is NEVER called (loop fully bypassed)
- Session exception → partial result with /codex-runtime auto hint
- Interrupted turn → partial result with error preserved
Adjacent test runs confirm no regressions:
- tests/run_agent/test_memory_nudge_counter_hydration.py: green
- tests/run_agent/test_background_review.py: green
- tests/run_agent/test_fallback_model.py: green
- tests/agent/transports/: 249/249 green
Still missing for full feature: /codex-runtime slash command, plugin
migration helper, docs page, live e2e test gated on codex binary. Those
are the remaining followup commits.
* feat(codex-runtime): add /codex-runtime slash command (CLI + gateway)
User-facing toggle for the optional codex app-server runtime. Follows the
'Adding a Slash Command (All Platforms)' pattern from AGENTS.md exactly:
single CommandDef in the central registry → CLI handler → gateway handler
→ running-agent guard → all surfaces (autocomplete, /help, Telegram menu,
Slack subcommands) update automatically.
Surface:
/codex-runtime — show current state + codex CLI status
/codex-runtime auto — Hermes default runtime
/codex-runtime codex_app_server — codex subprocess runtime
/codex-runtime on / off — synonyms
Files changed:
hermes_cli/codex_runtime_switch.py (new):
Pure-Python state machine shared by CLI and gateway. Parse args,
read/write model.openai_runtime in the config dict, gate enabling
behind a codex --version check (don't let users opt in to a runtime
they have no binary for; print npm install hint instead).
Returns a CodexRuntimeStatus dataclass that callers render however
suits their surface.
hermes_cli/commands.py:
Single CommandDef entry, no aliases (codex-runtime is its own thing).
cli.py:
Dispatch in process_command() + _handle_codex_runtime() handler that
delegates to the shared module and renders results via _cprint.
gateway/run.py:
Dispatch in _handle_message() + _handle_codex_runtime_command() that
returns a string (gateway sends as message). On a successful change
that requires a new session, _evict_cached_agent() forces the next
inbound message to construct a fresh AIAgent with the new api_mode —
avoids prompt-cache invalidation mid-session.
gateway/run.py running-agent guard:
/codex-runtime joins /model in the early-intercept block so a runtime
flip mid-turn can't split a turn across two transports.
Tests:
tests/hermes_cli/test_codex_runtime_switch.py — 25 tests covering the
state machine: arg parsing (10 cases incl. case-insensitive and
synonyms), reading current runtime (5 cases incl. malformed configs),
writing runtime (3 cases), apply() entry point covering read-only,
no-op, codex-missing-blocked, codex-present-success, disable-no-binary-check,
and persist-failure paths (8 cases). All green.
Adjacent test suites confirm no regressions:
- tests/hermes_cli/test_commands.py + test_codex_runtime_switch.py:
167/167 green
- tests/agent/transports/: 283/283 green when combined with prior commits
Still missing: plugin migration helper, docs page, live e2e test gated on
codex binary. Followup commits.
* feat(codex-runtime): auto-migrate Hermes MCP servers to ~/.codex/config.toml
Translates the user's mcp_servers config from ~/.hermes/config.yaml into
the TOML format codex's MCP client expects. Wired into the
/codex-runtime codex_app_server enable path so users get their MCP tool
surface in the spawned subprocess automatically.
The migration runs on every enable. Failures are non-fatal — the runtime
change still proceeds and the user gets a warning so they can fix the
codex config manually.
What translates (mapping verified against codex-rs/core/src/config/edit.rs):
Hermes mcp_servers.<n>.command/args/env → codex stdio transport
Hermes mcp_servers.<n>.url/headers → codex streamable_http transport
Hermes mcp_servers.<n>.timeout → codex tool_timeout_sec
Hermes mcp_servers.<n>.connect_timeout → codex startup_timeout_sec
Hermes mcp_servers.<n>.cwd → codex stdio cwd
Hermes mcp_servers.<n>.enabled: false → codex enabled = false
What does NOT translate (warned + skipped per server):
Hermes-specific keys (sampling, etc.) — codex's MCP client has no
equivalent. Listed in the per-server skipped[] field of the report.
What's NOT migrated (intentional):
AGENTS.md — codex respects this file natively in its cwd. Hermes' own
AGENTS.md (project-level) is already in the worktree, so codex picks
it up without translation. No code needed.
Idempotency design:
All managed content lives between a 'managed by hermes-agent' marker
and the next non-mcp_servers section header. _strip_existing_managed_block
removes the prior managed region cleanly, preserving any user-added
codex config (model, providers.openai, sandbox profiles, etc.) above
or below.
Files added:
hermes_cli/codex_runtime_plugin_migration.py — pure-Python migration
helper. Public API: migrate(hermes_config, codex_home=None,
dry_run=False) returns MigrationReport with .migrated/.errors/
.skipped_keys_per_server. No external TOML dependency — minimal
formatter handles strings/numbers/booleans/lists/inline-tables.
tests/hermes_cli/test_codex_runtime_plugin_migration.py — 39 tests
covering:
- per-server translation (12): stdio/http/sse, cwd, timeouts,
enabled flag, command+url precedence, sampling drop, unknown keys
- TOML formatter (8): types, escaping, inline tables, error case
- existing-block stripping (4): no marker, alone, with user content
above, with user content below
- end-to-end migrate() (8): empty, dry-run, round-trip, idempotent
re-run, preserves user config, error reporting, invalid input,
summary formatting
Files changed:
hermes_cli/codex_runtime_switch.py — apply() now calls migrate() in
the codex_app_server enable branch. Migration failure logs a warning
in the result message but does NOT fail the runtime change. Disable
path (auto) explicitly skips migration.
tests/hermes_cli/test_codex_runtime_switch.py — 3 new tests:
test_enable_triggers_mcp_migration, test_disable_does_not_trigger_migration,
test_migration_failure_does_not_block_enable.
All 325 feature tests green:
- tests/agent/transports/: 249 (incl. 67 new)
- tests/run_agent/test_codex_app_server_integration.py: 9
- tests/hermes_cli/test_codex_runtime_switch.py: 28 (3 new)
- tests/hermes_cli/test_codex_runtime_plugin_migration.py: 39 (new)
* perf(codex-runtime): cache codex --version check within apply()
Single /codex-runtime invocation could spawn 'codex --version' up to 3
times (state report, enable gate, success message). Each spawn is ~50ms,
so the cumulative cost wasn't a crisis, but it was wasteful and turned a
trivial slash command into something noticeably laggy on slower systems.
Refactored to lazy-once via a closure over a nonlocal cache. First call
spawns; subsequent calls in the same apply() reuse the result.
Behavior unchanged — same return shape, same error handling, same install
hint when codex is missing. Just one subprocess per call instead of three.
Two regression-guard tests added:
- test_binary_check_cached_within_apply: enable path → call_count == 1
- test_binary_check_cached_on_read_only_call: state-report path → call_count == 1
Total tests for /codex-runtime now 30 (was 28); all 143 codex-runtime
tests still green.
* fix(codex-runtime): correct protocol field names found via live e2e test
Three real bugs caught only by running a turn end-to-end against codex
0.130.0 with a real ChatGPT subscription. Unit tests passed because they
asserted on our own (incorrect) wire shapes; the wire format from
codex-rs/app-server-protocol/src/protocol/v2/* is the source of truth and
my initial reading of the README was incomplete.
Bug 1: thread/start.permissions wire format
Was sending {"profileId": "workspace-write"}.
Real format per PermissionProfileSelectionParams enum (tagged union):
{"type": "profile", "id": "workspace-write"}
AND requires the experimentalApi capability declared during initialize.
AND requires a matching [permissions] table in ~/.codex/config.toml or
codex fails the request with 'default_permissions requires a [permissions]
table'.
Fix: stop overriding permissions on thread/start. Codex picks its default
profile (read-only unless user configures otherwise), which matches what
codex CLI users expect — they configure their default permission profile
in ~/.codex/config.toml the standard way. Trying to be clever about
profile selection broke every turn we tested.
Live error before fix: 'Invalid request: missing field type' on every
turn/start, even though our turn/start payload was correct — the field
codex was complaining about was inside the permissions sub-object we
shouldn't have been sending.
Bug 2: server-request method names
Was matching 'execCommandApproval' and 'applyPatchApproval'.
Real names per common.rs ServerRequest enum:
item/commandExecution/requestApproval
item/fileChange/requestApproval
item/permissions/requestApproval (new third method)
Fix: match the documented names. Added handler for
item/permissions/requestApproval that always declines — codex sometimes
asks to escalate permissions mid-turn and silent acceptance would surprise
users.
Live symptom before fix: agent.log showed
'Unknown codex server request: item/commandExecution/requestApproval'
and codex stalled because we replied with -32601 (unsupported method)
instead of an approval decision. The agent reported back 'The write
command was rejected' even though Hermes never showed the user an
approval prompt.
Bug 3: approval decision values
Was sending decision strings 'approved'/'approvedForSession'/'denied'.
Real values per CommandExecutionApprovalDecision enum (camelCase):
accept, acceptForSession, decline, cancel
(also AcceptWithExecpolicyAmendment and ApplyNetworkPolicyAmendment
variants we don't currently use).
Fix: rename _approval_choice_to_codex_decision return values; update
auto_approve_* fallbacks; update fail-closed default from 'denied' to
'decline'. Test mapping table updated to match.
Live test verified after fixes:
$ hermes (with model.openai_runtime: codex_app_server)
> Run the shell command: echo hermes-codex-livetest > .../proof.txt
then read it back
Approval prompt fired with 'Codex requests exec in <cwd>'.
User chose 'Allow once'. Codex executed the command, wrote the file,
read it back. Final response: 'Read back from proof.txt:
hermes-codex-livetest'. File contents on disk match.
agent.log confirms:
codex app-server thread started: id=019e200e profile=workspace-write
cwd=/tmp/hermes-codex-livetest/workspace
All 20 session tests still green after wire-format updates.
* fix(codex-runtime): correct apply_patch approval params + ship docs
Live e2e revealed FileChangeRequestApprovalParams doesn't carry the
changeset (just itemId, threadId, turnId, reason, grantRoot) — Codex's
'reason' field describes what the patch wants to do. Test config and
display logic updated to use it. The first 'apply_patch (0 change(s))'
display from the live test is now 'apply_patch: <reason>'.
Adds website/docs/user-guide/features/codex-app-server-runtime.md
covering enable/disable, prerequisites, approval UX, MCP migration
behavior, permission profile delegation to ~/.codex/config.toml, known
limitations, and the architecture diagram. Wired into the Automation
category in sidebars.ts.
Live e2e validation across the path matrix:
✓ thread/start handshake
✓ turn/start with text input
✓ commandExecution items + projection
✓ item/commandExecution/requestApproval → Hermes UI → response
✓ Approve once → command runs
✓ Deny → command rejected, codex falls back to read-only message
✓ Multi-turn (codex remembers prior turn's results)
✓ apply_patch via Codex's fileChange path
✓ item/fileChange/requestApproval → Hermes UI
✓ MCP server migration loads inside spawned codex (verified via
'use the filesystem MCP tool' prompt)
✓ /codex-runtime auto → codex_app_server toggle cycle
✓ Disable doesn't trigger migration
✓ Enable with codex CLI present succeeds + migrates
✓ Hermes-side interrupt path (turn/interrupt request issued cleanly
even if codex finishes before the interrupt lands)
Known live-validated limitations now documented in the docs page:
- delegate_task subagents unavailable on this runtime
- permission profile selection delegated to ~/.codex/config.toml
- apply_patch approval prompt has no inline changeset (codex protocol
doesn't expose it)
145/145 codex-runtime tests still green.
* feat(codex-runtime): native plugin migration + UX polish (quirks 2/4/5/10/11)
Major: migrate native Codex plugins (#7 in OpenClaw's PR list)
Discovers installed curated plugins via codex's plugin/list RPC and
writes [plugins."<name>@<marketplace>"] entries to ~/.codex/config.toml
so they're enabled in the spawned Codex sessions. This is the
'YouTube-video-worthy' bit Pash highlighted: when a user has
google-calendar, github, etc. installed in their Codex CLI, those
plugins activate automatically when they enable Hermes' codex runtime.
Implementation:
- hermes_cli/codex_runtime_plugin_migration.py: new _query_codex_plugins()
helper spawns 'codex app-server' briefly and walks plugin/list. Returns
(plugins, error) — failures are non-fatal so MCP migration still works.
- render_codex_toml_section() now takes plugins + permissions args.
- migrate() defaults: discover_plugins=True, default_permission_profile=
'workspace-write'. Explicit None on either disables that side.
- _strip_existing_managed_block() now also strips [plugins.*] and
[permissions]/[permissions.*] sections inside the managed block, so
re-runs replace plugins cleanly without touching codex's own config.
Quirk fixes:
#2 Default permissions profile written on enable.
Without this, Codex's read-only default kicks in and EVERY write
triggers an approval prompt. Now writes [permissions] default =
'workspace-write' so the runtime feels normal out of the box. Set
default_permission_profile=None to opt out.
#4 apply_patch approval prompt now shows what's changing.
Codex's FileChangeRequestApprovalParams doesn't carry the changeset.
Session adapter now caches the fileChange item from item/started
notifications and looks it up by itemId when codex requests approval.
Prompt shows '1 add, 1 update: /tmp/new.py, /tmp/old.py' instead of
'apply_patch (0 change(s))'.
Side benefit: also drains pending notifications BEFORE handling a
server request, so the projector and per-turn caches are up to date
when the approval decision fires. Bounded to 8 notifications per
loop iter to avoid starving codex's response.
#5/#10 Exec approval prompt never shows empty cwd.
When codex omits cwd in CommandExecutionRequestApprovalParams, fall
back to the session's cwd. If somehow neither is available, show
'<unknown>' explicitly instead of an empty string.
Also surfaces 'reason' from the approval params when codex provides
it — gives users more context on why codex wants to run something.
#11 Banner indicates the codex_app_server runtime when active.
New 'Runtime: codex app-server (terminal/file ops/MCP run inside
codex)' line appears in the welcome banner only when the runtime is
on. Default banner is unchanged.
Tests:
- 7 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery (mocked), failure handling, dry-run skip, opt-out
flag, idempotent re-runs, and permissions writing.
- 3 new tests in test_codex_app_server_session.py covering the
enriched approval prompts: cwd fallback, change summary on
apply_patch, fallback when no item/started cache exists.
- All 26 session tests + 46 migration tests green; 153 total in PR.
* feat(codex-runtime): hermes-tools MCP callback + native plugin migration
The big architectural addition: when codex_app_server runtime is on,
Hermes registers its own tool surface as an MCP server in
~/.codex/config.toml so the codex subprocess can call back into Hermes
for tools codex doesn't ship with — web_search, browser_*, vision,
image_generate, skills, TTS.
Also: 'migrate native codex plugins' (Pash's YouTube-video-worthy bit) —
when the user has plugins like Linear, GitHub, Gmail, Calendar, Canva
installed via 'codex plugin', Hermes discovers them via plugin/list and
writes [plugins.<name>@openai-curated] entries so they activate
automatically.
New module: agent/transports/hermes_tools_mcp_server.py
FastMCP stdio server exposing 17 Hermes tools. Each call dispatches
through model_tools.handle_function_call() — same code path as the
Hermes default runtime. Run with:
python -m agent.transports.hermes_tools_mcp_server [--verbose]
Exposed: web_search, web_extract, browser_navigate / _click / _type /
_press / _snapshot / _scroll / _back / _get_images / _console /
_vision, vision_analyze, image_generate, skill_view, skills_list,
text_to_speech.
NOT exposed (deliberately):
- terminal/shell/read_file/write_file/patch — codex has built-ins
- delegate_task/memory/session_search/todo — _AGENT_LOOP_TOOLS in
model_tools.py:493, require running AIAgent context. Documented
as a limitation and surfaced in the slash command output.
Migration changes (hermes_cli/codex_runtime_plugin_migration.py):
- _query_codex_plugins() spawns 'codex app-server' briefly to walk
plugin/list and pull installed openai-curated plugins. Failures are
non-fatal — MCP migration still completes.
- render_codex_toml_section() now takes plugins + permissions args
AND wraps the managed block with a MIGRATION_END_MARKER comment so
the stripper can reliably find both ends, even when the block
contains top-level keys (default_permissions = ...).
- migrate() defaults: discover_plugins=True, expose_hermes_tools=True,
default_permission_profile=':workspace' (built-in codex profile name
— must be prefixed with ':'). All three opt-out via explicit args.
- _build_hermes_tools_mcp_entry() builds the codex stdio entry with
HERMES_HOME and PYTHONPATH passthrough so a worktree-launched
Hermes points the MCP subprocess at the same module layout.
Live-caught wire bugs fixed during this turn:
1. Permission profile config key is top-level , NOT a [permissions] table. The [permissions] table is
for *user-defined* profiles with structured fields. Built-in
profile names start with ':' (':workspace', ':read-only',
':danger-no-sandbox'). Was emitting
which codex rejected with 'invalid type: string "X", expected
struct PermissionProfileToml'.
2. Built-in profile is , NOT . Codex
rejected with 'unknown built-in profile'.
3. Codex's MCP layer sends for
tool-call confirmation. We weren't handling it, so codex stalled
and returned 'MCP tool call was rejected'. Now: auto-accept for
our own hermes-tools server (user already opted in by enabling
the runtime), decline for third-party servers.
Quirk fixes shipped (from the limitations list):
#2 default permissions: workspace profile written on enable. No more
approval prompt on every write.
#4 apply_patch approval shows what's changing: cache fileChange
items from item/started, look up by itemId when codex sends
item/fileChange/requestApproval. Prompt: '1 add, 1 update:
/tmp/new.py, /tmp/old.py' instead of '0 change(s)'.
#5/#10 exec approval cwd never empty: fall back to session cwd, then
'<unknown>'. Also surfaces 'reason' from codex when present.
#11 banner shows 'Runtime: codex app-server' line when active so
users understand why tool counts may not match what's reachable.
Tests:
- 5 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery, expose_hermes_tools entry generation, idempotent
re-runs, opt-out flag, permissions profile.
- 3 new tests in test_codex_app_server_session.py covering enriched
approval prompts (cwd fallback, fileChange summary).
- 2 new tests for mcpServer/elicitation/request handling (accept
hermes-tools, decline others).
- New test file test_hermes_tools_mcp_server.py covering module
surface, EXPOSED_TOOLS safety invariants (no shell/file_ops,
no agent-loop tools), and main() error paths.
- 166 codex-runtime tests total, all green.
Live e2e validated against codex 0.130.0 + ChatGPT subscription:
✓ /codex-runtime codex_app_server enables, migrates filesystem MCP,
registers hermes-tools, writes default_permissions = ':workspace'
✓ Banner shows 'Runtime: codex app-server' line in subsequent sessions
✓ Shell command runs without approval prompt (workspace profile works)
✓ Multi-turn — codex remembers prior turn's results
✓ apply_patch path via fileChange request approval
✓ web_search via hermes-tools MCP callback returns real Firecrawl
results: 'OpenAI Codex CLI – Getting Started' end-to-end in 13s
✓ Disable cycle clean
Docs updated: website/docs/user-guide/features/codex-app-server-runtime.md
Full re-write covering native plugin migration, the hermes-tools
callback architecture, the prerequisites change ('codex login is
separate from hermes auth login codex'), the trade-off table now
reflecting which Hermes tools work via callback, and the limitations
list updated with what's actually unavailable on this runtime.
* feat(codex-runtime): pin user-config preservation invariant for quirk #6
Quirk #6 from the limitations list — user MCP servers / overrides /
codex-only sections in ~/.codex/config.toml that live OUTSIDE the
hermes-managed block must survive re-migration verbatim.
This already worked thanks to the MIGRATION_MARKER + MIGRATION_END_MARKER
pair I added when fixing the default_permissions wire format (so the
strip can find both ends of the managed region even with top-level
keys like default_permissions). But it was an emergent property
without a test pinning it.
Now explicitly tested:
- User MCP server above the managed block survives migration
- User MCP server below the managed block survives migration
- Both above + below survive a second re-migration
- User content (model, providers, sandbox, otel, etc.) outside our
region is left untouched
Docs added a section "Editing ~/.codex/config.toml safely" explaining
the marker contract — so users know they can add their own MCP
servers, override permissions, configure codex-only options, etc.
without fear of Hermes overwriting their work.
167 codex-runtime tests, all green.
* docs(codex-runtime): clarify the actual tool surface — shell covers terminal/read/write/find
Previous docs and PR description undersold what codex's built-in
toolset actually provides. apply_patch alone made it sound like the
runtime could only edit files in patch format — implying you'd lose
terminal use, read_file, write_file, search/find. That was wrong.
Codex's 'shell' tool runs arbitrary shell commands inside the sandbox,
which covers everything you'd do in bash: cat/head/tail (read), echo>
or heredocs (write), find/rg/grep (search), ls/cd (navigate), build/
test/git/etc. apply_patch is for structured multi-file edits on top
of that. update_plan is its in-runtime todo. view_image loads images.
And codex has its own web_search built in (in addition to the
Firecrawl-backed one Hermes exposes via MCP callback).
Docs now have a 'What tools the model actually has' section right
after Why, breaking the surface into three clearly-labeled buckets:
1. Codex's built-in toolset (always on) — shell, apply_patch,
update_plan, view_image, web_search; covers everything terminal-
adjacent.
2. Native Codex plugins (auto-migrated from your codex plugin
install) — Linear, GitHub, Gmail, Calendar, Outlook, Canva, etc.
3. Hermes tool callback (MCP server in ~/.codex/config.toml) —
web_search/web_extract via Firecrawl, browser_*, vision_analyze,
image_generate, skill_view/skills_list, text_to_speech.
Plus a 'What's NOT available' callout listing the four agent-loop tools
(delegate_task, memory, session_search, todo) that need running
AIAgent context and can't reach the codex runtime.
Trade-offs table broken out: shell, apply_patch, update_plan,
view_image, sandbox each get their own row with a one-line description
so users can see at a glance what's available natively.
Architecture diagram updated to list the codex built-ins by name
instead of 'apply_patch + shell + sandbox'.
No code changes — purely docs clarification. 167 codex-runtime tests
still green.
* fix(codex-runtime): _spawn_background_review signature + review fork api_mode downgrade
Two real bugs in the self-improvement loop integration that the previous
test mocked away.
Bug 1: wrong call signature
The codex helper was calling self._spawn_background_review() with no
args after every turn. That function actually requires:
messages_snapshot=list (positional or keyword)
review_memory=bool (at least one trigger must be True)
review_skills=bool
So the call would have raised TypeError at runtime — except the only
test that exercised this path mocked _spawn_background_review entirely
and just asserted spawn.called, so the wrong-arg shape never surfaced.
Bug 2: review fork inherits codex_app_server api_mode
The review fork is constructed with:
api_mode = _parent_runtime.get('api_mode')
So when the parent is codex_app_server, the review fork ALSO runs as
codex_app_server. But the review fork's whole job is to call agent-loop
tools (memory, skill_manage) which require Hermes' own dispatch — they
short-circuit with 'must be handled by the agent loop' on the codex
runtime. So the review fork would have run, decided to save something,
called memory or skill_manage, and silently no-op'd.
Fixed in run_agent.py:_spawn_background_review() — when the parent
api_mode is 'codex_app_server', the review fork is downgraded to
'codex_responses' (same OAuth credentials, same openai-codex provider,
but talks to OpenAI's Responses API directly so Hermes owns the loop).
Also rewrote the codex helper's review wiring to match the
chat_completions path:
- Computes _should_review_memory in the pre-loop block (was already
being computed; now passed through to the helper as an arg).
- Computes _should_review_skills AFTER the codex turn returns +
counters tick (line ~15432 pattern in chat_completions).
- Calls _spawn_background_review(messages_snapshot=, review_memory=,
review_skills=) only when at least one trigger fires.
- Adds the external memory provider sync (_sync_external_memory_for_turn)
that the chat_completions path runs after every turn.
Tests:
Replaced the broken test_background_review_invoked (which only
asserted spawn.called) with three sharper tests:
- test_background_review_NOT_invoked_below_threshold:
single turn at default thresholds → no review fires (would have
caught the original 'every turn calls spawn with no args' bug)
- test_background_review_skill_trigger_fires_above_threshold:
10 tool_iterations at threshold=10 → review fires with
messages_snapshot=list, review_skills=True, counter resets
- test_background_review_signature_never_breaks: regression guard
asserting positional args are always empty and kwargs include
messages_snapshot
New TestReviewForkApiModeDowngrade class:
- test_codex_app_server_parent_downgrades_review_fork: drives the
real _spawn_background_review function (no mock at that level),
asserts the review_agent gets api_mode='codex_responses' when
the parent was codex_app_server.
Live-validated against real run_conversation:
- Counter ticked from 0 to 5 after a 5-tool-iteration turn
- _spawn_background_review fired exactly once with kwargs-only signature
- review_skills=True, review_memory=False
- messages_snapshot was 12 entries (5 assistant tool_calls + 5 tool
results + 1 final assistant + initial system/user)
- Counter reset to 0 after fire
170 codex-runtime tests, all green.
Docs: added a Self-improvement loop section to the codex runtime page
explaining both how the trigger logic stays equivalent and that the
review fork is auto-downgraded to codex_responses for the agent-loop
tools. Also clarified that apply_patch and update_plan ARE codex's
built-in tools (the previous version made it sound like they were
separate from 'codex's stuff' — they're not, all five tools listed
in 'What tools the model actually has' section 1 are codex built-ins).
* feat(codex-runtime): expose kanban tools through Hermes MCP callback
Kanban workers spawn as separate hermes chat -q subprocesses that read
the user's config.yaml. If model.openai_runtime: codex_app_server is set
globally (which is the whole point of opt-in), every dispatched worker
ALSO comes up on the codex runtime.
That mostly works — codex's built-in shell + apply_patch + update_plan
do the actual task work fine — but it had one critical break: the
worker handoff tools (kanban_complete, kanban_block, kanban_comment,
kanban_heartbeat) are Hermes-registered tools, not codex built-ins.
On the codex runtime, codex builds its own tool list and these never
reach the model, so the worker would do the work but not be able to
report back, hanging until the dispatcher's timeout escalates it as
zombie.
Fix: add all 9 kanban tools to the EXPOSED_TOOLS list in the Hermes
MCP callback. They dispatch statelessly through handle_function_call()
just like web_search and the others — they read HERMES_KANBAN_TASK
from env (set by the dispatcher), gate correctly (worker tools require
the env var, orchestrator tools require it unset), and write to
~/.hermes/kanban.db.
Why kanban tools work via stateless dispatch when delegate_task/memory/
session_search/todo don't: those four are listed in _AGENT_LOOP_TOOLS
(model_tools.py:493) and short-circuit in handle_function_call() with
'must be handled by the agent loop' — they need to mutate AIAgent's
mid-loop state. Kanban tools have no such requirement; they're pure
side-effect functions against the kanban.db plus state_meta.
Tools exposed:
Worker handoff (require HERMES_KANBAN_TASK):
kanban_complete, kanban_block, kanban_comment, kanban_heartbeat
Read-only board queries:
kanban_show, kanban_list
Orchestrator (require HERMES_KANBAN_TASK unset):
kanban_create, kanban_unblock, kanban_link
Tests:
- test_kanban_worker_tools_exposed: complete/block/comment/heartbeat
in EXPOSED_TOOLS (regression guard for the would-hang-worker bug)
- test_kanban_orchestrator_tools_exposed: create/show/list/unblock/link
Docs:
- New 'Workflow features' section in the docs page covering /goal,
kanban, and cron behavior on this runtime
- /goal: works fully via run_conversation feedback; only caveat is
approval-prompt noise on long writes-heavy goals (mitigated by
the default :workspace permission profile)
- Kanban: enumerated which tools are reachable via the callback and
why the env var propagates correctly through the codex subprocess
to the MCP server subprocess
- Cron: documented as 'not specifically tested' — same rules as the
CLI apply since cron runs through AIAgent.run_conversation
- Trade-offs table gained rows for /goal, kanban worker, kanban
orchestrator
172/172 codex-runtime tests green (+2 from kanban tests).
* docs(codex-runtime): wire /codex-runtime into slash-commands ref + flag aux token cost
Three docs gaps caught during a final audit:
1. /codex-runtime was only in the feature docs page, not in the
slash-commands reference. Added rows to both the CLI section and
the Messaging section so users discover it where they'd look for
slash command syntax.
2. CODEX_HOME and HERMES_KANBAN_TASK weren't in environment-variables.md.
CODEX_HOME lets users redirect Codex CLI's config dir (the migration
honors it). HERMES_KANBAN_TASK is set by the kanban dispatcher and
propagates to the codex subprocess + the hermes-tools MCP subprocess
so kanban worker tools gate correctly — documented as 'don't set
manually' since it's an internal handoff.
3. Aux client behavior on this runtime. When openai_runtime=
codex_app_server is on with the openai-codex provider, every aux
task (title generation, context compression, vision auto-detect,
session search summarization, the background self-improvement review
fork) flows through the user's ChatGPT subscription by default.
This is true for the existing codex_responses path too, but it's
more visible / important here because users explicitly opted in for
subscription billing. Added a 'Auxiliary tasks and ChatGPT
subscription token cost' section to the docs page with a YAML
example showing how to override specific aux tasks to a cheaper
model (typically google/gemini-3-flash-preview via OpenRouter).
Also documents how the self-improvement review fork gets
auto-downgraded from codex_app_server to codex_responses by the
fix earlier in this PR.
No code changes — pure docs. 172 codex-runtime tests still green.
* docs+test(codex-runtime): pin HOME passthrough, document multi-profile + CODEX_HOME
OpenClaw hit a real footgun in openclaw/openclaw#81562: when spawning
codex app-server they were synthesizing a per-agent HOME alongside
CODEX_HOME. That made every subprocess codex's shell tool launches
(gh, git, aws, npm, gcloud, ...) see a fake $HOME and miss the user's
real config files. They had to back it out in PR #81562 — keep
CODEX_HOME isolation, leave HOME alone.
Audit confirms Hermes' codex spawn doesn't have this problem. We do
os.environ.copy() and only overlay CODEX_HOME (when provided) and
RUST_LOG. HOME passes through unchanged. But it was an emergent
property without a test pinning it, so adding a regression guard:
test_spawn_env_preserves_HOME — confirms parent HOME survives intact
in the subprocess env
test_spawn_env_sets_CODEX_HOME_when_provided — confirms codex_home
arg still isolates
codex state correctly
Docs additions:
'HOME environment variable passthrough' section — calls out the
contract explicitly: CODEX_HOME isolates codex's own state, HOME
stays user-real so gh/git/aws/npm/etc. find their normal config.
Cites openclaw#81562 as the cautionary tale.
'Multi-profile / multi-tenant setups' section — addresses the
related concern: profiles share ~/.codex/ by default. For users who
want per-profile codex isolation (separate auth, separate plugins),
documents the manual CODEX_HOME=<profile-scoped-dir> approach.
Explains why we DON'T auto-scope CODEX_HOME per profile: doing so
would silently invalidate existing codex login state for anyone
upgrading to this PR with tokens already at ~/.codex/auth.json.
Opt-in is safer than surprising users.
174 codex-runtime tests (+2 from HOME guards), all green.
* fix(codex-runtime): TOML control-char escapes + atomic config.toml write
Two footguns caught in a final audit pass before merge.
Bug 1: TOML control characters not escaped
The _format_toml_value() helper escaped backslashes and double quotes
but passed literal control characters (\n, \t, \r, \f, \b) through
unchanged. TOML basic strings don't allow literal control characters
— a path or env var containing a newline would produce invalid TOML
that codex refuses to load.
Realistic exposure: pathological cases like a HERMES_HOME with a
trailing newline (env var concatenation accident), or a PYTHONPATH
with a tab from a multi-line shell heredoc.
Fix: escape all five TOML basic-string control sequences (\b \t \n
\f \r) in addition to \\ and \" that we already did. Order
matters — backslash must come first or the other escapes get
re-escaped.
Bug 2: config.toml write wasn't atomic
If the python process crashed between target.mkdir() and the
write_text() finishing, a half-written config.toml could be left
behind. On NFS / Windows / some FUSE mounts this is a real concern;
on ext4/APFS small writes are usually atomic in practice but not
guaranteed.
Fix: write to a tempfile.mkstemp() temp file in the same directory,
then Path.replace() (atomic same-dir rename on POSIX, ReplaceFile on
Windows). On rename failure, clean up the temp file so repeated
failed migrations don't pile up .config.toml.* files.
Tests:
- test_string_with_newline_escaped — \n in value → \n in output
- test_string_with_tab_escaped — \t in value → \t in output
- test_string_with_other_controls_escaped — \r, \f, \b
- test_windows_path_escaped_correctly — backslash doubling
- test_atomic_write_no_temp_leak_on_success — no .config.toml.*
left over after a successful write
- test_atomic_write_cleanup_on_rename_failure — temp file removed
when Path.replace raises (simulated disk full)
180 codex-runtime tests, all green (+6 from this commit).
Footguns audited but NOT fixed (with rationale):
- Concurrent migrations race. Two Hermes processes hitting
/codex-runtime codex_app_server within seconds of each other could
cause one writer to lose entries. Low probability (you'd have to
enable from two surfaces simultaneously) and low impact (just re-run
migration). Adding fcntl/msvcrt locking is more code than it's
worth here. The atomic rename above means each individual write is
consistent — only the merge step is racy.
- Codex protocol version drift. We pin MIN_CODEX_VERSION=0.125 and
check at runtime but don't reject too-new versions. Right call —
the protocol has been stable through 0.125 → 0.130. If OpenAI
breaks it later we'd see the error in test_codex_app_server_runtime
on CI before users hit it.
* feat(video_gen): unified video_generate tool with pluggable provider backends
One core video_generate tool, every backend a plugin. Mirrors the
image_gen + memory_provider + context_engine architecture: ABC, registry,
plugin-context registration hook, and per-plugin model catalogs surfaced
through hermes tools.
Surface (one schema, every backend):
- operation: generate / edit / extend
- modalities: text-to-video (prompt only), image-to-video (prompt +
image_url), video edit (prompt + video_url), video extend (video_url)
- reference_image_urls, duration, aspect_ratio, resolution,
negative_prompt, audio, seed, model override
- Providers ignore unknown kwargs and declare what they support via
VideoGenProvider.capabilities() — backend-specific quirks stay in the
backend, the agent learns one tool
Backends shipped:
- plugins/video_gen/xai/ — Grok-Imagine, full generate/edit/extend +
image-to-video + reference images (salvaged from PR #10600 by
@Jaaneek, reshaped into the plugin interface)
- plugins/video_gen/fal/ — Veo 3.1 (t2v + i2v), Kling O3 i2v,
Pixverse v6 i2v with model-aware payload building that drops keys a
model doesn't declare
Wiring:
- agent/video_gen_provider.py — VideoGenProvider ABC, normalize_operation,
success_response / error_response, save_b64_video / save_bytes_video,
$HERMES_HOME/cache/videos/
- agent/video_gen_registry.py — thread-safe register/get/list +
get_active_provider() reading video_gen.provider from config.yaml
- hermes_cli/plugins.py — PluginContext.register_video_gen_provider()
- hermes_cli/tools_config.py — Video Generation category in
hermes tools, plugin-only providers list, model picker per plugin,
config write to video_gen.{provider,model}
- toolsets.py — new video_gen toolset
- tests: 31 new tests covering ABC, registry, tool dispatch, both plugins
- docs: developer-guide/video-gen-provider-plugin.md (parallel to the
image-gen guide), sidebar + toolsets-reference + plugin guides updated
Supersedes: #25035 (FAL), #17972 (FAL), #14543 (xAI), #13847 (HappyHorse),
#10458 (provider categories), #10786 (xAI media+search bundle), #2984
(FAL duplicate), #19086 (Google Veo standalone — easy port to plugin
interface).
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen): dynamic schema reflects active backend's capabilities
Address the 'capability variance' question — instead of one tool with a
static schema that lies about what every backend supports, the
video_generate tool now rebuilds its description at get_definitions()
time based on the configured video_gen.provider and video_gen.model.
The agent sees backend-specific guidance up-front:
- 'fal-ai/veo3.1/image-to-video': 'image-to-video only — image_url is
REQUIRED; text-only prompts will be rejected'
- 'fal-ai/veo3.1' (t2v): no image_url restriction shown
- xAI grok-imagine-video: 'operations: generate, edit, extend; up to 7
reference_image_urls'
- Backends without edit/extend: 'not supported on this backend — surface
that they need to switch backends via hermes tools'
This is the same pattern PR #22694 used for delegate_task self-capping —
documented in the dynamic-tool-schemas skill. Cache invalidation is
free: get_tool_definitions() already memoizes on config.yaml mtime, so a
mid-session backend swap rebuilds the schema automatically.
Tested:
- Empirical FAL OpenAPI schema check confirms image-to-video models
require image_url (FAL returns HTTP 422 otherwise) — client-side
rejection in FALVideoGenProvider.generate() now prevents the wasted
round-trip
- Live E2E: fal-ai/veo3.1/image-to-video + prompt-only → clean
missing_image_url error; fal-ai/veo3.1 + prompt-only → dispatches
- 6 new tests cover the builder (no config / image-only / full-surface /
text-only / unknown provider / registry wiring), all passing
- 37/37 in the slice, 134/134 in the broader regression set
* test(video_gen/xai): full surface integration tests + cleaner schema
Verified end-to-end that the xAI plugin handles every documented mode
from PR #10600's surface: text-to-video, image-to-video,
reference-images-to-video, video edit, video extend (with and without
prompt). All five modes route to the correct xAI endpoint
(/videos/generations, /videos/edits, /videos/extensions) with the right
payload shape (image / reference_images / video keys), and all five
client-side rejections fire before the network: edit-without-prompt,
extend-without-video_url, image+refs conflict, >7 references, and
duration/aspect_ratio clamping.
15 new integration tests grouped into four classes (endpoint routing,
modalities, validation, clamping). httpx is stubbed via a small fake
AsyncClient that records POSTs so the tests assert the actual payload
the plugin would send to xAI — not just the success/error envelope.
Also cleaned up a description redundancy: when a model's operations
match the backend's overall set, we no longer print the duplicate
'operations supported by this model' line. xAI's description now reads:
Active backend: xAI . model: grok-imagine-video
- operations supported by this backend: edit, extend, generate
- modalities supported by this backend: image, reference_images, text
- aspect_ratio choices: 16:9, 1:1, 2:3, 3:2, 3:4, 4:3, 9:16
- resolution choices: 480p, 720p
- duration range: 1-15s
- reference_image_urls: up to 7 images
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen): collapse surface to t2v + i2v, family-based auto-routing
Two design changes per Teknium:
1) Drop edit/extend from the tool surface entirely. Only text-to-video
and image-to-video remain. The agent sees a clean tool with two
modalities; backend-specific quirks like xAI's edit/extend endpoints
stay out of the unified schema.
2) FAL: pick a model FAMILY once, the plugin routes between the
family's text-to-video and image-to-video endpoints based on whether
image_url was passed. Users no longer pick 'fal-ai/veo3.1' AND
'fal-ai/veo3.1/image-to-video' as separate options — they pick
'veo3.1', and the plugin handles the rest.
Catalog rewritten as families:
veo3.1 fal-ai/veo3.1 / fal-ai/veo3.1/image-to-video
pixverse-v6 fal-ai/pixverse/v6/text-to-video / fal-ai/pixverse/v6/image-to-video
kling-o3-standard fal-ai/kling-video/o3/standard/text-to-video / fal-ai/kling-video/o3/standard/image-to-video
xAI uses a single endpoint (/videos/generations) for both modes,
routed by the presence of the 'image' field in the payload — no
edit/extend exposure.
Schema changes:
- VIDEO_GENERATE_SCHEMA: drop operation, drop video_url. Final params:
prompt (required), image_url, reference_image_urls, duration,
aspect_ratio, resolution, negative_prompt, audio, seed, model.
- VideoGenProvider ABC: drop normalize_operation, VALID_OPERATIONS,
DEFAULT_OPERATION. capabilities() drops 'operations' key.
- success_response: add 'modality' field ('text' | 'image') so the
agent and logs can see which endpoint was actually hit.
Dynamic schema builder simplified — no operations bullet, no
'switch backends if you need edit/extend' guidance. When the active
backend supports both modalities (the common case), description reads:
Active backend: FAL . model: pixverse-v6
- supports both text-to-video (omit image_url) and image-to-video
(pass image_url) - routes automatically
- aspect_ratio choices: 16:9, 9:16, 1:1
- resolution choices: 360p, 540p, 720p, 1080p
- duration range: 1-15s
- audio: pass audio=true to enable native audio (pricing tier)
- negative_prompt: supported
Tests: 51 in the video_gen slice, 216 across the broader image+video
sweep, all passing. New FAL routing tests prove pixverse-v6 + no image
hits text-to-video endpoint, pixverse-v6 + image_url hits
image-to-video endpoint, same for veo3.1 and kling-o3-standard.
Docs updated: developer-guide page rewrites the 'model families' pattern
as a first-class section so external plugin authors know the convention.
toolsets-reference and toolsets.py descriptions match the new surface.
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(video_gen/fal): expand catalog to 6 families, cheap + premium tiers
Catalog now covers everything Teknium specced from FAL:
Cheap tier:
ltx-2.3 fal-ai/ltx-2.3-22b/text-to-video / image-to-video
pixverse-v6 fal-ai/pixverse/v6/text-to-video / image-to-video
Premium tier:
veo3.1 fal-ai/veo3.1 / fal-ai/veo3.1/image-to-video
seedance-2.0 bytedance/seedance-2.0/text-to-video / image-to-video
kling-v3-4k fal-ai/kling-video/v3/4k/text-to-video / image-to-video
happy-horse fal-ai/happy-horse/text-to-video / image-to-video
DEFAULT_MODEL moved from veo3.1 (premium) to pixverse-v6 (cheap, sane
defaults, both modalities) — better first-run UX for users who haven't
explicitly picked a model.
New family-entry knob: image_param_key. Kling v3 4K's image-to-video
endpoint expects start_image_url instead of image_url; declaring
image_param_key='start_image_url' on the family lets _build_payload
remap correctly. Other families default to plain image_url.
Per-family capability flags reflect each model's docs:
- LTX 2.3 + Happy Horse: minimal payloads (no duration/aspect/resolution
enum exposed by FAL — let endpoint apply defaults)
- Seedance: 6 aspect ratios incl 21:9, durations 4-15, audio supported,
negative prompts NOT supported per docs
- Kling v3 4K: 16:9/9:16/1:1, 3-15s, audio + negative
- Veo 3.1: unchanged, 16:9/9:16, 4/6/8s
Tests: +5 covering the new families (full catalog, Kling 4K
start_image_url remap, Seedance routing, LTX payload minimality, Happy
Horse minimality). 56/56 in the slice green.
Note: I did NOT add the FAL-hosted xAI Grok-Imagine variant. Hermes
already has a direct xAI plugin that talks to xAI's own API; routing
the same model through FAL's wrapper would duplicate the surface
without adding capabilities. Users on FAL who want Grok-Imagine should
use the xAI plugin directly; flag if you want both routes available.
* test(video_gen): tool-surface routing matrix — every model x modality
End-to-end matrix test driven through _handle_video_generate() — the
actual function the agent's video_generate tool call lands in. Writes
config.yaml, invokes the registered handler with a raw args dict, then
asserts the outbound HTTP/SDK call hit the right endpoint with the right
payload shape.
Parametrized over FAL_FAMILIES.keys() so the matrix auto-discovers new
families as they're added (add a family to FAL_FAMILIES and you get
both modalities tested for free).
Coverage:
- All 6 FAL families x {text-only, text+image} = 12 cases
- xAI x {text-only, text+image} = 2 cases
- tool-level model= arg overrides config = 2 cases
For each case, verifies:
- result['success'] is True
- result['modality'] matches input shape ('text' if no image_url, 'image' otherwise)
- outbound endpoint URL matches the family's text_endpoint or image_endpoint
- text-only payloads carry no image-shaped keys
- text+image payloads carry the family's image key (image_url for most,
start_image_url for kling-v3-4k, wrapped 'image' object for xAI)
All 16 cases passing. Confirms the tool surface routes every
(provider, model, modality) combination correctly with zero leakage.
* feat(video_gen): keep video_gen out of first-run setup, surface in status
Two changes:
1. video_gen joins _DEFAULT_OFF_TOOLSETS, so it is NOT pre-selected in
the first-run toolset checklist. Video gen is niche, paid, and slow —
most users don't want it nagging them during initial setup. Anyone
who wants it opts in via 'hermes tools' -> Video Generation, which
already routes to the provider+model picker.
2. The 'hermes setup' status panel learns about video_gen — but only
shows the row when a plugin reports available. Users without
FAL_KEY/XAI_API_KEY see nothing about video gen; users with one of
those keys see 'Video Generation (FAL) ✓' as confirmation it's wired.
Verified live:
- Fresh install (no creds): zero video_gen mentions in wizard.
- With FAL_KEY: status row appears with active backend name.
- 160/160 in the setup + tools_config + video_gen test slice.
Rationale: image_gen is on by default because it's a featured creative
tool used in casual chat (telegrams, etc). Video gen is heavier — long
wait, paid per-second pricing. Default-off matches user intent better.
---------
Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
* feat(nous): unified client=hermes-client-v<version> tag on every Portal request
Every Hermes request to Nous Portal now carries the same
client=hermes-client-v<__version__> tag (e.g. client=hermes-client-v0.13.0
on this release), sourced live from hermes_cli.__version__. The release
script's regex bump auto-aligns it on every release.
Centralized in agent/portal_tags.py and wired into all four call sites:
- NousProfile.build_extra_body (main agent loop, every chat completion)
- auxiliary_client.NOUS_EXTRA_BODY + _build_call_kwargs (aux client)
- run_agent.py compression-summary fallback path
- tools/web_tools.py web_extract fallback
Replaces the client=aux marker added in #24194 with the unified version
tag. Tests assert against the helper output (invariant) rather than the
literal string, so they don't need updating on every release.
* feat(nous): cover /goal judge and kanban specify aux paths
Two aux-using surfaces bypassed call_llm by invoking
client.chat.completions.create() directly without extra_body, so they
were missing the unified Portal client tag:
- hermes_cli/goals.py — /goal standing-goal judge
- hermes_cli/kanban_specify.py — kanban triage specifier
Both now pass extra_body=get_auxiliary_extra_body() or None so they
inherit the version tag when the aux client points at Nous Portal, and
emit nothing otherwise (no tag leak to OpenRouter/Anthropic auxes).
The long-lived prefix-cache layout split the system prompt into stable/
context/volatile blocks and re-derived them on every API call. The
volatile tier (timestamp + memory snapshot + USER profile) ticks per
turn, so the system message bytes mutated mid-conversation and broke
upstream prompt caches (OpenRouter, Nous Portal, Anthropic).
Diagnosed via live wire-format diffing: an 8-turn conversation showed
OLD layout flipping system block[1] sha mid-session at the minute
boundary, dropping cached_tokens to 0 on that turn (cumulative
66.6% vs 83.3% for the single-block layout). Hermes invariant:
history (system + all but the last 1-2 messages) must be static.
Fix: drop the long-lived layout entirely. Single layout everywhere —
system_and_3 with one cached system string built once on first turn,
replayed verbatim on every subsequent turn. Loses cross-session 1h
prefix caching for Claude (the feature that motivated the split), but
within-session caching now actually works on every provider.
Removed:
- run_agent.py: _use_long_lived_prefix_cache flag, _long_lived_cache_ttl,
_supports_long_lived_anthropic_cache method, the long-lived branch in
run_conversation, mark_tools_for_long_lived_cache call site
- agent/prompt_caching.py: apply_anthropic_cache_control_long_lived,
mark_tools_for_long_lived_cache, _mark_system_stable_block helper
- hermes_cli/config.py: prompt_caching.long_lived_prefix and
prompt_caching.long_lived_ttl config keys
- tests/agent/test_prompt_caching_live.py (entire file)
- tests/agent/test_prompt_caching.py: TestMarkToolsForLongLivedCache,
TestApplyAnthropicCacheControlLongLived
- tests/run_agent/test_anthropic_prompt_cache_policy.py:
TestSupportsLongLivedAnthropicCache
Targeted tests: 62/62 pass.
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