The generic 'gpt-5' fallback was set to 128,000 — which is the max
OUTPUT tokens, not the context window. GPT-5 base and most variants
(codex, mini) have 400,000 context. This caused /model to report
128k for models like gpt-5.3-codex when models.dev was unavailable.
Added specific entries for GPT-5 variants with different context sizes:
- gpt-5.4, gpt-5.4-pro: 1,050,000 (1.05M)
- gpt-5.4-mini, gpt-5.4-nano: 400,000
- gpt-5.3-codex-spark: 128,000 (reduced)
- gpt-5.1-chat: 128,000 (chat variant)
- gpt-5 (catch-all): 400,000
Sources: https://developers.openai.com/api/docs/models
Remove the two-tier (top/extended) provider picker that hid most
providers behind a 'More providers...' submenu. All providers now
appear in a single flat list.
- Remove tier field from ProviderEntry namedtuple
- Remove tier values from all CANONICAL_PROVIDERS entries
- Flatten the hermes model picker (no more 'More...' submenu)
- Move 'Custom endpoint' to the bottom of the main list
Port two improvements inspired by Kilo-Org/kilocode analysis:
1. Error classifier: add context overflow patterns for vLLM, Ollama,
and llama.cpp/llama-server. These local inference servers return
different error formats than cloud providers (e.g., 'exceeds the
max_model_len', 'context length exceeded', 'slot context'). Without
these patterns, context overflow errors from local servers are
misclassified as format errors, causing infinite retries instead
of triggering compression.
2. MCP initial connection retry: previously, if the very first
connection attempt to an MCP server failed (e.g., transient DNS
blip at startup), the server was permanently marked as failed with
no retry. Post-connect reconnection had 5 retries with exponential
backoff, but initial connection had zero. Now initial connections
retry up to 3 times with backoff before giving up, matching the
resilience of post-connect reconnection.
(Inspired by Kilo Code's MCP server disappearing fix in v1.3.3)
Tests: 6 new error classifier tests, 4 new MCP retry tests, 1
updated existing test. All 276 affected tests pass.
Adds Arcee AI as a standard direct provider (ARCEEAI_API_KEY) with
Trinity models: trinity-large-thinking, trinity-large-preview, trinity-mini.
Standard OpenAI-compatible provider checklist: auth.py, config.py,
models.py, main.py, providers.py, doctor.py, model_normalize.py,
model_metadata.py, setup.py, trajectory_compressor.py.
Based on PR #9274 by arthurbr11, simplified to a standard direct
provider without dual-endpoint OpenRouter routing.
- Nav: icons only on mobile, icon+label on sm+
- Brand: abbreviated "H A" on mobile, full "Hermes Agent" on sm+
- Content: reduced padding on mobile (px-3 vs px-6)
- StatusPage: session cards stack vertically on mobile, truncate
overflow text, strip model namespace for brevity
- ConfigPage: sidebar becomes horizontal scrollable pills on mobile
instead of fixed left column, search hidden on mobile
- SessionsPage: title + search stack vertically on mobile, search
goes full-width
- Card component: add overflow-hidden to prevent content bleed
- Body/root: add overflow-x-hidden to prevent horizontal scroll
- Footer: reduced font sizes on mobile
All changes use Tailwind responsive breakpoints (sm: prefix).
No logic changes — purely layout/CSS adjustments.
The /model picker currently renders one row per ``custom_providers``
entry. When several entries share the same provider name (e.g. four
``ollama-cloud`` entries for ``qwen3-coder``, ``glm-5.1``, ``kimi-k2``,
``minimax-m2.7``), users see four separate "Ollama Cloud" rows in the
picker, which is confusing UX — there is only one Ollama Cloud
provider, so there should be one row containing four models.
This PR groups ``custom_providers`` entries that share the same provider
name into a single picker row while keeping entries with distinct names
as separate rows. So:
* Four entries named ``Ollama Cloud`` → one "Ollama Cloud" row with
four models inside.
* One entry named ``Ollama Cloud`` and one named ``Moonshot`` → two
separate rows, one model each.
Implementation
--------------
Replaces the single-pass loop in ``list_authenticated_providers()`` with
a two-pass approach:
1. First pass: build an ``OrderedDict`` keyed by ``custom_provider_slug(name)``,
accumulating ``models`` per group while preserving discovery order.
2. Second pass: iterate the groups and append one result row per group,
skipping any slug that already appeared in an earlier provider source
(the existing ``seen_slugs`` guard).
Insertion order is preserved via ``OrderedDict``, so providers and
their models still appear in the order the user listed them in
``custom_providers``. No new dependencies.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
get_compatible_custom_providers() deduplicates by (name, base_url) which
collapses multiple models under the same provider into a single entry.
For example, 7 Ollama Cloud entries with different models become 1.
Adding model to the tuple preserves all entries.
The dashboard device-code flow (_nous_poller in web_server.py) saved
credentials to the credential pool only, while get_nous_auth_status()
only checked the auth store (auth.json). This caused the Keys tab to
show 'not connected' even when the backend was fully authenticated.
Two fixes:
1. get_nous_auth_status() now checks the credential pool first (like
get_codex_auth_status() already does), then falls back to the auth
store.
2. _nous_poller now also persists to the auth store after saving to
the credential pool, matching the CLI flow (_login_nous).
Adds 3 tests covering pool-only, auth-store-fallback, and empty-state
scenarios.
Three problems fixed:
1. bobashopcashier missing from v0.9.0 contributor list despite
authoring the gateway drain PR (#7290, salvaged into #7503).
Their email (kennyx102@gmail.com) was missing from AUTHOR_MAP.
2. release.py only scanned git commit authors, missing Co-authored-by
trailers. Now parse_coauthors() extracts trailers from commit bodies.
3. No mechanism to detect contributors from salvaged PRs (where original
author only appears in PR description, not git log).
Changes:
- scripts/release.py: add kennyx102@gmail.com to AUTHOR_MAP, enhance
get_commits() to parse Co-authored-by trailers, filter AI assistants
(Claude, Copilot, Cursor Agent) from co-author lists
- scripts/contributor_audit.py: new script that cross-references git
authors, co-author trailers, and salvaged PR descriptions. Reports
unknown emails and contributors missing from release notes.
- RELEASE_v0.9.0.md: add bobashopcashier to community contributors
Usage:
python scripts/contributor_audit.py --since-tag v2026.4.8
python scripts/contributor_audit.py --since-tag v2026.4.8 --release-file RELEASE_v0.9.0.md
- Use isinstance() with try/except import for CopilotACPClient check
in _to_async_client instead of fragile __class__.__name__ string check
- Restore accurate comment: GPT-5.x models *require* (not 'often require')
the Responses API on OpenAI/OpenRouter; ACP is the exception, not a
softening of the requirement
- Add inline comment explaining the ACP exclusion rationale
Plugin context engines loaded via load_context_engine() were never
given context_length, causing the CLI status bar to show "ctx --"
with an empty progress bar. Call update_model() immediately after
loading the plugin engine, mirroring what switch_model() already does.
FixesNousResearch/hermes-agent#9071
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three separate hardcoded provider lists (/model, /provider, hermes model)
diverged over time, causing providers to be missing from some commands.
- Create CANONICAL_PROVIDERS in hermes_cli/models.py as the single source
of truth for all provider identity, labels, and TUI ordering
- Derive _PROVIDER_LABELS and list_available_providers() from canonical list
- Add step 2b in list_authenticated_providers() to cross-check canonical
list — catches providers with credentials that weren't found via
PROVIDER_TO_MODELS_DEV or HERMES_OVERLAYS mappings
- Derive hermes model TUI provider menus from canonical list
- Add deepseek and xai as first-class providers (were missing from TUI)
- Add grok/x-ai/x.ai aliases for xai provider
Fixes: /model command not showing all providers that hermes model shows
/stop was calling suspend_session() which marked the session for auto-reset
on the next message. This meant users lost their conversation history every
time they stopped a running agent — especially painful for untitled sessions
that can't be resumed by name.
Now /stop just interrupts the agent and cleans the session lock. The session
stays intact so users can continue the conversation.
The suspend behavior was introduced in #7536 to break stuck session resume
loops on gateway restart. That case is already handled by
suspend_recently_active() which runs at gateway startup, so removing it from
/stop doesn't regress the original fix.
The GITHUB_TOKEN for fork PRs is read-only — gh pr comment fails with
'Resource not accessible by integration'. This caused the supply chain
scan to show a red X on every fork PR even when no findings were detected.
The scan itself still runs and the 'Fail on critical findings' step
still exits 1 on real issues. Only the comment posting is gracefully
skipped for fork PRs.
Closes#6679
Co-authored-by: SHL0MS <SHL0MS@users.noreply.github.com>
The everywhere release — Hermes goes mobile with Termux/Android, adds
iMessage and WeChat, ships Fast Mode for OpenAI and Anthropic,
introduces background process monitoring, launches a local web
dashboard, and delivers the deepest security hardening pass yet
across 16 supported platforms.
487 commits, 269 merged PRs, 167 resolved issues, 24 contributors.
Cherry-picked from PR #7637 by hcshen0111.
Adds kimi-coding-cn provider with dedicated KIMI_CN_API_KEY env var
and api.moonshot.cn/v1 endpoint for China-region Moonshot users.
- Wrap module-level import from agent.anthropic_adapter in try/except
so hermes web still starts if the adapter is unavailable; Phase 2
PKCE endpoints return 501 in that case.
- Change authorize URL from console.anthropic.com to claude.ai to
match the canonical adapter code.
Add OAuth provider management to the Hermes dashboard with full
lifecycle support for Anthropic (PKCE), Nous and OpenAI Codex
(device-code) flows.
## Backend (hermes_cli/web_server.py)
- 6 new API endpoints:
GET /api/providers/oauth — list providers with connection status
POST /api/providers/oauth/{id}/start — initiate PKCE or device-code
POST /api/providers/oauth/{id}/submit — exchange PKCE auth code
GET /api/providers/oauth/{id}/poll/{session} — poll device-code
DELETE /api/providers/oauth/{id} — disconnect provider
DELETE /api/providers/oauth/sessions/{id} — cancel pending session
- OAuth constants imported from anthropic_adapter (no duplication)
- Blocking I/O wrapped in run_in_executor for async safety
- In-memory session store with 15-minute TTL and automatic GC
- Auth token required on all mutating endpoints
## Frontend
- OAuthLoginModal — PKCE (paste auth code) and device-code (poll) flows
- OAuthProvidersCard — status, token preview, connect/disconnect actions
- Toast fix: createPortal to document.body for correct z-index
- App.tsx: skip animation key bump on initial mount (prevent double-mount)
- Integrated into the Env/Keys page
Previously, long-running streamed responses could be incorrectly treated
as idle by the gateway/cron inactivity timeout even while tokens were
actively arriving. The _touch_activity() call (which feeds
get_activity_summary() polled by the external timeout) was either called
only on the first chunk (chat completions) or not at all (Anthropic,
Codex, Codex fallback).
Add _touch_activity() on every chunk/event in all four streaming paths
so the inactivity monitor knows data is still flowing.
Fixes#8760
The v11→v12 migration converts custom_providers (list) into providers
(dict), then deletes the list. But all runtime resolvers read from
custom_providers — after migration, named custom endpoints silently stop
resolving and fallback chains fail with AuthError.
Add get_compatible_custom_providers() that reads from both config schemas
(legacy custom_providers list + v12+ providers dict), normalizes entries,
deduplicates, and returns a unified list. Update ALL consumers:
- hermes_cli/runtime_provider.py: _get_named_custom_provider() + key_env
- hermes_cli/auth_commands.py: credential pool provider names
- hermes_cli/main.py: model picker + _model_flow_named_custom()
- agent/auxiliary_client.py: key_env + custom_entry model fallback
- agent/credential_pool.py: _iter_custom_providers()
- cli.py + gateway/run.py: /model switch custom_providers passthrough
- run_agent.py + gateway/run.py: per-model context_length lookup
Also: use config.pop() instead of del for safer migration, fix stale
_config_version assertions in tests, add pool mock to codex test.
Co-authored-by: 墨綠BG <s5460703@gmail.com>
Closes#8776, salvaged from PR #8814
The existing ASCII codec handler only sanitized conversation messages,
leaving tool schemas, system prompts, ephemeral prompts, prefill messages,
and HTTP headers as unhandled sources of non-ASCII content. On systems
with LANG=C or non-UTF-8 locale, Unicode symbols in tool descriptions
(e.g. arrows, em-dashes from prompt_builder) and system prompt content
would cause UnicodeEncodeError that fell through to the error path.
Changes:
- Add _sanitize_structure_non_ascii() generic recursive walker for
nested dict/list payloads
- Add _sanitize_tools_non_ascii() thin wrapper for tool schemas
- Add _force_ascii_payload flag: once ASCII locale is detected, all
subsequent API calls get proactively sanitized (prevents recurring
failures from new tool results bringing fresh Unicode each turn)
- Extend the ASCII codec error handler to sanitize: prefill_messages,
tool schemas (self.tools), system prompt, ephemeral system prompt,
and default HTTP headers
- Update stale comment that acknowledged the gap
Cherry-picked from PR #8834 (credential pool changes dropped as
separate concern).
The cherry-picked code passed the env var NAME (e.g. 'MY_API_KEY') as the
api_key value. The caller's has_usable_secret() check would reject the
var name, so the actual key was never used. Now we os.getenv() the
key_env value to get the real API key before returning it.
Two fixes for user-defined providers in config.yaml:
1. list_authenticated_providers() - now includes full models list from
providers.*.models array, not just default_model. This fixes /model
showing only one model when multiple are configured.
2. _get_named_custom_provider() - now checks providers: dict (new-style)
in addition to custom_providers: list (legacy). This fixes credential
resolution errors when switching models via /model command.
Both changes are backwards compatible with existing custom_providers list format.
Fixes: Only one model appears for custom providers in /model selection
On macOS, /etc is a symlink to /private/etc, so os.path.realpath()
resolves /etc/hosts to /private/etc/hosts. The sensitive path check
only matched /etc/ prefixes against the resolved path, allowing
writes to system files on macOS.
- Add /private/etc/ and /private/var/ to _SENSITIVE_PATH_PREFIXES
- Check both realpath-resolved and normpath-normalized paths
- Add regression tests for macOS symlink bypass
Closes#8734
Co-authored-by: ElhamDevelopmentStudio (PR #8829)
These functions were duplicated between auth.py and copilot_auth.py.
The auth.py copies had zero production callers — only copilot_auth.py's
versions are used. Redirect the test import to the live copy and update
monkeypatch targets accordingly.
When GITHUB_TOKEN is present in the environment (e.g. for gh CLI or
GitHub Actions), two issues broke Copilot authentication against
GitHub Enterprise (GHE) instances:
1. The copilot provider had no base_url_env_var, so COPILOT_API_BASE_URL
was silently ignored — requests always went to public GitHub.
2. `gh auth token` (the CLI fallback) treats GITHUB_TOKEN as an override
and echoes it back instead of reading from its credential store
(hosts.yml). This caused the same rejected token to be used even
after env var priority correctly skipped it.
Fix:
- Add base_url_env_var="COPILOT_API_BASE_URL" to copilot ProviderConfig
- Strip GITHUB_TOKEN/GH_TOKEN from the subprocess env when calling
`gh auth token` so it reads from hosts.yml
- Pass --hostname from COPILOT_GH_HOST when set so gh returns the
GHE-specific OAuth token
resolve_vision_provider_client() computed resolved_api_mode from config
but never passed it to downstream resolve_provider_client() or
_get_cached_client() calls, causing custom providers with
api_mode: anthropic_messages to crash when used for vision tasks.
Also remove the for_vision special case in _normalize_aux_provider()
that incorrectly discarded named custom provider identifiers.
Fixes#8857
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Remove the backward-compat code paths that read compression provider/model
settings from legacy config keys and env vars, which caused silent failures
when auto-detection resolved to incompatible backends.
What changed:
- Remove compression.summary_model, summary_provider, summary_base_url from
DEFAULT_CONFIG and cli.py defaults
- Remove backward-compat block in _resolve_task_provider_model() that read
from the legacy compression section
- Remove _get_auxiliary_provider() and _get_auxiliary_env_override() helper
functions (AUXILIARY_*/CONTEXT_* env var readers)
- Remove env var fallback chain for per-task overrides
- Update hermes config show to read from auxiliary.compression
- Add config migration (v16→17) that moves non-empty legacy values to
auxiliary.compression and strips the old keys
- Update example config and openclaw migration script
- Remove/update tests for deleted code paths
Compression model/provider is now configured exclusively via:
auxiliary.compression.provider / auxiliary.compression.model
Closes#8923
Updated the acquire_scoped_lock function to treat empty or corrupt lock files as stale. This change ensures that if a lock file exists but is invalid, it will be removed to prevent issues with stale locks. Added tests to verify recovery from both empty and corrupt lock files.
Add <thought>(.*?)</thought> to inline_patterns so Gemma 4
reasoning content is captured for /reasoning display, not just
stripped from visible output.
Closes#8891
Co-authored-by: RhushabhVaghela <rhushabhvaghela@users.noreply.github.com>
Three targeted changes to close the gaps between retry layers that
caused users to experience 'No response from provider for 580s' and
'No activity for 15 minutes' despite having 5 layers of retry:
1. Remove non-streaming fallback from streaming path
Previously, when all 3 stream retries exhausted, the code fell back
to _interruptible_api_call() which had no stale detection and no
activity tracking — a black hole that could hang for up to 1800s.
Now errors propagate to the main retry loop which has richer recovery
(credential rotation, provider fallback, backoff).
For 'stream not supported' errors, sets _disable_streaming flag so
the main retry loop automatically switches to non-streaming on the
next attempt.
2. Add _touch_activity to recovery dead zones
The gateway inactivity monitor relies on _touch_activity() to know
the agent is alive, but activity was never touched during:
- Stale stream detection/kill cycles (180-300s gaps)
- Stream retry connection rebuilds
- Main retry backoff sleeps (up to 120s)
- Error recovery classification
Now all these paths touch activity every ~30s, keeping the gateway
informed during recovery cycles.
3. Add stale-call detector to non-streaming path
_interruptible_api_call() now has the same stale detection pattern
as the streaming path: kills hung connections after 300s (default,
configurable via HERMES_API_CALL_STALE_TIMEOUT), scaled for large
contexts (450s for 50K+ tokens, 600s for 100K+ tokens), disabled
for local providers.
Also touches activity every ~30s during the wait so the gateway
monitor stays informed.
Env vars:
- HERMES_API_CALL_STALE_TIMEOUT: non-streaming stale timeout (default 300s)
- HERMES_STREAM_STALE_TIMEOUT: unchanged (default 180s)
Before: worst case ~2+ hours of sequential retries with no feedback
After: worst case bounded by gateway inactivity timeout (default 1800s)
with continuous activity reporting
Three-tier match strategy for _truncate_around_matches():
1. Full-phrase search (exact query string positions)
2. Proximity co-occurrence (all terms within 200 chars)
3. Individual terms (fallback, preserves existing behavior)
Sliding window picks the start offset covering the most matches.
Moved inline import re to module level.
Co-authored-by: Al Sayed Hoota <78100282+AlsayedHoota@users.noreply.github.com>
