Follow-up on top of the helix4u #12388 cherry-picks:
- make deferred post-delivery callbacks generation-aware end-to-end so
stale runs cannot clear callbacks registered by a fresher run for the
same session
- bind callback ownership to the active session event at run start and
snapshot that generation inside base adapter processing so later event
mutation cannot retarget cleanup
- pass run_generation through proxy mode and drop stale proxy streams /
final results the same way local runs are dropped
- centralize stop/new interrupt cleanup into one helper and replace the
open-coded branches with shared logic
- unify internal control interrupt reason strings via shared constants
- remove the return from base.py's finally block so cleanup no longer
swallows cancellation/exception flow
- add focused regressions for generation forwarding, proxy stale
suppression, and newer-callback preservation
This addresses all review findings from the initial #12388 review while
keeping the fix scoped to stale-output/typing-loop interrupt handling.
Follow-up on top of the helix4u #6392 cherry-pick:
- reuse one helper for actionable Docker-local file-not-found errors
across document/image/video/audio local-media send paths
- include /outputs/... alongside /output/... in the container-local
path hint
- soften the gateway startup warning so it does not imply custom
host-visible mounts are broken; the warning now targets the specific
risky pattern of emitting container-local MEDIA paths without an
explicit export mount
- add focused regressions for /outputs/... and non-document media hint
coverage
This keeps the salvage aligned with the actual MEDIA delivery problem on
current main while reducing false-positive operator messaging.
Follow-up for the helix4u easy-fix salvage batch:
- route remaining context-engine quiet-mode output through
_should_emit_quiet_tool_messages() so non-CLI/library callers stay
silent consistently
- drop the extra senderAliases computation from WhatsApp allowlist-drop
logging and remove the now-unused import
This keeps the batch scoped to the intended fixes while avoiding
leaked quiet-mode output and unnecessary duplicate work in the bridge.
The cherry-picked commit from #11434 uses the 154585401+ prefixed
noreply format. Add it alongside the existing bare entry so the
contributor audit passes.
New skill: creative/touchdesigner — control a running TouchDesigner
instance via REST API. Build real-time visual networks programmatically.
Architecture:
Hermes Agent -> HTTP REST (curl) -> TD WebServer DAT -> TD Python env
Key features:
- Custom API handler (scripts/custom_api_handler.py) that creates a
self-contained WebServer DAT + callback in TD. More reliable than the
official mcp_webserver_base.tox which frequently fails module imports.
- Discovery-first workflow: never hardcode TD parameter names. Always
probe the running instance first since names change across versions.
- Persistent setup: save the TD project once with the API handler baked
in. TD auto-opens the last project on launch, so port 9981 is live
with zero manual steps after first-time setup.
- Works via curl in execute_code (no MCP dependency required).
- Optional MCP server config for touchdesigner-mcp-server npm package.
Skill structure (2823 lines total):
SKILL.md (209 lines) — setup, workflow, key rules, operator reference
references/pitfalls.md (276 lines) — 24 hard-won lessons
references/operators.md (239 lines) — all 6 operator families
references/network-patterns.md (589 lines) — audio-reactive, generative,
video processing, GLSL, instancing, live performance recipes
references/mcp-tools.md (501 lines) — 13 MCP tool schemas
references/python-api.md (443 lines) — TD Python scripting patterns
references/troubleshooting.md (274 lines) — connection diagnostics
scripts/custom_api_handler.py (140 lines) — REST API handler for TD
scripts/setup.sh (152 lines) — prerequisite checker
Tested on TouchDesigner 099 Non-Commercial (macOS/darwin).
* fix(kimi): force fixed temperature on kimi-k2.* models (k2.5, thinking, turbo)
The prior override only matched the literal model name "kimi-for-coding",
but Moonshot's coding endpoint is hit with real model IDs such as
`kimi-k2.5`, `kimi-k2-turbo-preview`, `kimi-k2-thinking`, etc. Those
requests bypassed the override and kept the caller's temperature, so
Moonshot returns HTTP 400 "invalid temperature: only 0.6 is allowed for
this model" (or 1.0 for thinking variants).
Match the whole kimi-k2.* family:
* kimi-k2-thinking / kimi-k2-thinking-turbo -> 1.0 (thinking mode)
* all other kimi-k2.* -> 0.6 (non-thinking / instant mode)
Also accept an optional vendor prefix (e.g. `moonshotai/kimi-k2.5`) so
aggregator routings are covered.
* refactor(kimi): whitelist-match kimi coding models instead of prefix
Addresses review feedback on PR #12144.
- Replace `startswith("kimi-k2")` with explicit frozensets sourced from
Moonshot's kimi-for-coding model list. The prefix match would have also
clamped `kimi-k2-instruct` / `kimi-k2-instruct-0905`, which are the
separate non-coding K2 family with variable temperature (recommended 0.6
but not enforced — see huggingface.co/moonshotai/Kimi-K2-Instruct).
- Confirmed via platform.kimi.ai docs that all five coding models
(k2.5, k2-turbo-preview, k2-0905-preview, k2-thinking, k2-thinking-turbo)
share the fixed-temperature lock, so the preview-model mapping is no
longer an assumption.
- Drop the fragile `"thinking" in bare` substring test for a set lookup.
- Log a debug line on each override so operators can see when Hermes
silently rewrites temperature.
- Update class docstring. Extend the negative test to parametrize over
kimi-k2-instruct, Kimi-K2-Instruct-0905, and a hypothetical future
kimi-k2-experimental name — all must keep the caller's temperature.
- /retry: use session['history'] instead of non-existent
agent.conversation_history; truncate history at last user message
to match CLI retry_last() behavior; add history_lock safety
- /plan: pass user instruction (arg) to build_plan_path instead of
session_key; add runtime_note so agent knows where to save the plan
- ANSI tool results: render full text via <Ansi wrap=truncate-end>
instead of slicing raw ANSI through compactPreview (which cuts
mid-escape-sequence producing garbled output)
- Move _PENDING_INPUT_COMMANDS frozenset to module level
- Use get_skill_commands() (cached) instead of scan_skill_commands()
(rescans disk) in slash.exec skill interception
- Add 3 retry tests: happy path with history truncation verification,
empty history error, multipart content extraction
- Update test mock target from scan_skill_commands to get_skill_commands
Additional TUI fixes discovered in the same audit:
1. /plan slash command was silently lost — process_command() queues the
plan skill invocation onto _pending_input which nobody reads in the
slash worker subprocess. Now intercepted in slash.exec and routed
through command.dispatch with a new 'send' dispatch type.
Same interception added for /retry, /queue, /steer as safety nets
(these already have correct TUI-local handlers in core.ts, but the
server-side guard prevents regressions if the local handler is
bypassed).
2. Tool results were stripping ANSI escape codes — the messageLine
component used stripAnsi() + plain <Text> for tool role messages,
losing all color/styling from terminal, search_files, etc. Now
uses <Ansi> component (already imported) when ANSI is detected.
3. Terminal tab title now shows model + busy status via useTerminalTitle
hook from @hermes/ink (was never used). Users can identify Hermes
tabs and see at a glance whether the agent is busy or ready.
4. Added 'send' variant to CommandDispatchResponse type + asCommandDispatch
parser + createSlashHandler handler for commands that need to inject
a message into the conversation (plan, queue fallback, steer fallback).
Two TUI fixes:
1. Hyperlinks are now clickable (Cmd+Click / Ctrl+Click) in terminals
that support OSC 8. The markdown renderer was rendering links as
plain colored text — now wraps them in the existing <Link> component
from @hermes/ink which emits OSC 8 escape sequences.
2. Skill slash commands (e.g. /hermes-agent-dev) now work in the TUI.
The slash.exec handler was delegating to the _SlashWorker subprocess
which calls cli.process_command(). For skills, process_command()
queues the invocation message onto _pending_input — a Queue that
nobody reads in the worker subprocess. The skill message was lost.
Now slash.exec detects skill commands early and rejects them so
the TUI falls through to command.dispatch, which correctly builds
and returns the skill payload for the client to send().
Move moonshotai/kimi-k2.5 to position #1 in every model picker list:
- OPENROUTER_MODELS (with 'recommended' tag)
- _PROVIDER_MODELS: nous, kimi-coding, opencode-zen, opencode-go, alibaba, huggingface
- _model_flow_kimi() Coding Plan model list in main.py
kimi-coding-cn and moonshot lists already had kimi-k2.5 first.
Salvage of PR #8018 by @alt-glitch onto current main.
On sandbox teardown, FileSyncManager now downloads the remote .hermes/
directory, diffs against SHA-256 hashes of what was originally pushed,
and applies only changed files back to the host.
Core (tools/environments/file_sync.py):
- sync_back(): orchestrates download -> unpack -> diff -> apply with:
- Retry with exponential backoff (3 attempts, 2s/4s/8s)
- SIGINT trap + defer (prevents partial writes on Ctrl-C)
- fcntl.flock serialization (concurrent gateway sandboxes)
- Last-write-wins conflict resolution with warning
- New remote files pulled back via _infer_host_path prefix matching
Backends:
- SSH: _ssh_bulk_download — tar cf - piped over SSH
- Modal: _modal_bulk_download — exec tar cf - -> proc.stdout.read
- Daytona: _daytona_bulk_download — exec tar cf -> SDK download_file
- All three call sync_back() at the top of cleanup()
Fixes applied during salvage (vs original PR #8018):
| # | Issue | Fix |
|---|-------|-----|
| C1 | import fcntl unconditional — crashes Windows | try/except with fallback; _sync_back_locked skips locking when fcntl=None |
| W1 | assert for runtime guard (stripped by -O) | Replaced with proper if/raise RuntimeError |
| W2 | O(n*m) from _get_files_fn() called per file | Cache mapping once at start of _sync_back_impl, pass to resolve/infer |
| W3 | Dead BulkDownloadFn imports in 3 backends | Removed unused imports |
| W4 | Modal hardcodes root/.hermes, no explanation | Added docstring comment explaining Modal always runs as root |
| S1 | SHA-256 computed for new files where pushed_hash=None | Skip hashing when pushed_hash is None (comparison always False) |
| S2 | Daytona /tmp/.hermes_sync.tar never cleaned up | Added rm -f after download (best-effort) |
Tests: 49 passing (17 new: _infer_host_path edge cases, SIGINT
main/worker thread, Windows fcntl=None fallback, Daytona tar cleanup).
Based on #8018 by @alt-glitch.
Models may send whitespace-only strings like {"conclusion": " "} which
pass bool() but create meaningless conclusions. Strip both inputs so
whitespace-only values are treated as empty.
Adds tests for whitespace-only conclusion and delete_id.
Reviewed-by: @erosika
Add 11 community contributors whose work was cherry-picked via
salvage PRs during the April 16 triage session. Without these
entries, contributor_audit strict mode fails for release attribution.
Contributors: sontianye, jackjin1997, danieldoderlein, lrawnsley,
taeuk178, ogzerber, cola-runner, ygd58, vominh1919, LeonSGP43,
Lubrsy706
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
- Extract duplicated activity-callback polling into shared
touch_activity_if_due() helper in tools/environments/base.py
- Use helper from both base.py _wait_for_process and
code_execution_tool.py local polling loop (DRY)
- Add test assertion that timeout output field contains the
timeout message and emoji (#10807)
- Add stream_consumer test for tool-boundary fallback scenario
where continuation is empty but final_text differs from
visible prefix (#10807)
copilot_model_api_mode() called normalize_copilot_model_id() which
fetched the GitHub model catalog via HTTP, then the secondary endpoint
check fetched it again because the catalog was never passed through.
Fix: fetch the catalog once at the top of copilot_model_api_mode()
and pass it to normalize_copilot_model_id(). The secondary check
then sees a non-None catalog and skips the redundant fetch.
For a Claude model switch on Copilot this eliminates one 5-second-
timeout HTTP call from the interactive /model path.
Surfaced during review of PR #10533.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
All 10 call sites in gateway/run.py and gateway/platforms/api_server.py
are inside async functions where a loop is guaranteed to be running.
get_event_loop() is deprecated since Python 3.10 — it can silently
create a new loop when none is running, masking bugs.
get_running_loop() raises RuntimeError instead, which is safer.
Surfaced during review of PRs #10533 and #10647.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Salvaged from PR #10643 by kshitijk4poor, updated for current main.
Root causes fixed:
1. Telegram xdist mock pollution — new tests/gateway/conftest.py with shared
mock that runs at collection time (prevents ChatType=None caching)
2. VIRTUAL_ENV env var leak — monkeypatch.delenv in _detect_venv_dir tests
3. Copilot base_url missing — add fallback in _resolve_runtime_from_pool_entry
4. Stale vision model assertion — zai now uses glm-5v-turbo
5. Reasoning item id intentionally stripped — assert 'id' not in (store=False)
6. Context length warning unreachable — pass base_url to AIAgent in test
7. Kimi provider label updated — 'Kimi / Kimi Coding Plan' matches models.py
8. Google Workspace calendar tests — rewritten for current production code,
properly mock subprocess on api_module, removed stale +agenda assertions
9. Credential pool auto-seeding — mock _select_pool_entry / _resolve_auto /
_import_codex_cli_tokens to prevent real credentials from leaking into tests
- Populate watcher_* routing fields for watch-only processes (not just
notify_on_complete), so watch-pattern events carry direct metadata
instead of relying solely on session_key parsing fallback
- Extract _parse_session_key() helper to dedupe session key parsing
at two call sites in gateway/run.py
- Add negative test proving cross-thread leakage doesn't happen
- Add edge-case tests for _build_process_event_source returning None
(empty evt, invalid platform, short session_key)
- Add unit tests for _parse_session_key helper
Follow-up to #10459 (salvage of #7527). The copy_context() fix propagates
ALL ContextVars into the cron worker thread, including credential_files.
This test verifies that skill-declared required_credential_files are
visible inside the worker thread, matching the existing env_passthrough
regression test.
PR #9467 added a call to self._fuzzy_file_completions() inside
_context_completions(), but the method was still decorated with
@staticmethod and didn't receive self. Every @ mention in the input
triggers 'name self is not defined' from prompt_toolkit's async
completer, spamming the error on every keystroke.
Fix: remove @staticmethod, add self parameter. The method already uses
self._fuzzy_file_completions() and self._get_project_files() via that
call chain, so it was never meant to stay static after the fuzzy search
feature was added.
- Add GET /api/model/info endpoint that resolves model metadata using the
same 10-step context-length detection chain the agent uses. Returns
auto-detected context length, config override, effective value, and
model capabilities (tools, vision, reasoning, max output, model family).
- Surface model.context_length as model_context_length virtual field in
the config normalize/denormalize cycle. 0 = auto-detect (default),
positive value overrides. Writing 0 removes context_length from the
model dict on disk.
- Add ModelInfoCard component showing resolved context window (e.g. '1M
auto-detected' or '500K override — auto: 1M'), max output tokens, and
colored capability badges (Tools, Vision, Reasoning, model family).
- Inject ModelInfoCard between model field and context_length override in
ConfigPage General tab. Card re-fetches on model change and after save.
- Insert model_context_length right after model in CONFIG_SCHEMA ordering
so the three elements (model input → info card → override) are adjacent.
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
Cherry-picked from PR #7702 by kshitijk4poor.
Adds Xiaomi MiMo as a direct provider (XIAOMI_API_KEY) with models:
- mimo-v2-pro (1M context), mimo-v2-omni (256K, multimodal), mimo-v2-flash (256K, cheapest)
Standard OpenAI-compatible provider checklist: auth.py, config.py, models.py,
main.py, providers.py, doctor.py, model_normalize.py, model_metadata.py,
models_dev.py, auxiliary_client.py, .env.example, cli-config.yaml.example.
Follow-up: vision tasks use mimo-v2-omni (multimodal) instead of the user's
main model. Non-vision aux uses the user's selected model. Added
_PROVIDER_VISION_MODELS dict for provider-specific vision model overrides.
On failure, falls back to aggregators (gemini flash) via existing fallback chain.
Corrects pre-existing context lengths: mimo-v2-pro 1048576→1000000,
mimo-v2-omni 1048576→256000, adds mimo-v2-flash 256000.
36 tests covering registry, aliases, auto-detect, credentials, models.dev,
normalization, URL mapping, providers module, doctor, aux client, vision
model override, and agent init.
Cherry-picked from PR #7749 by kshitijk4poor with modifications:
- Raise hard image limit from 5 MB to 20 MB (matches most restrictive provider)
- Send images at full resolution first; only auto-resize to 5 MB on API failure
- Add _is_image_size_error() helper to detect size-related API rejections
- Auto-resize uses Pillow (soft dep) with progressive downscale + JPEG quality reduction
- Fix get_model_capabilities() to check modalities.input for vision support
- Increase default vision timeout from 30s to 120s (matches hardcoded fallback intent)
- Applied retry-with-resize to both vision_analyze_tool and browser_vision
Closes#7740
Based on PR #7285 by @kshitijk4poor.
Two bugs affecting Qwen OAuth users:
1. Wrong context window — qwen3-coder-plus showed 128K instead of 1M.
Added specific entries before the generic qwen catch-all:
- qwen3-coder-plus: 1,000,000 (corrected from PR's 1,048,576 per
official Alibaba Cloud docs and OpenRouter)
- qwen3-coder: 262,144
2. Random stopping — max_tokens was suppressed for Qwen Portal, so the
server applied its own low default. Reasoning models exhaust that on
thinking tokens. Now: honor explicit max_tokens, default to 65536
when unset.
Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
async_call_llm (and call_llm) can return non-OpenAI objects from
custom providers or adapter shims, crashing downstream consumers
with misleading AttributeError ('str' has no attribute 'choices').
Add _validate_llm_response() that checks the response has the
expected .choices[0].message shape before returning. Wraps all
return paths in call_llm, async_call_llm, and fallback paths.
Fails fast with a clear RuntimeError identifying the task, response
type, and a preview of the malformed payload.
Closes#7264
Four fixes to auxiliary_client.py:
1. Respect explicit provider as hard constraint (#7559)
When auxiliary.{task}.provider is explicitly set (not 'auto'),
connection/payment errors no longer silently fallback to cloud
providers. Local-only users (Ollama, vLLM) will no longer get
unexpected OpenRouter billing from auxiliary tasks.
2. Eliminate model='default' sentinel (#7512)
_resolve_api_key_provider() no longer sends literal 'default' as
model name to APIs. Providers without a known aux model in
_API_KEY_PROVIDER_AUX_MODELS are skipped instead of producing
model_not_supported errors.
3. Add payment/connection fallback to async_call_llm (#7512)
async_call_llm now mirrors sync call_llm's fallback logic for
payment (402) and connection errors. Previously, async consumers
(session_search, web_tools, vision) got hard failures with no
recovery. Also fixes hardcoded 'openrouter' fallback to use the
full auto-detection chain.
4. Use accurate error reason in fallback logs (#7512)
_try_payment_fallback() now accepts a reason parameter and uses
it in log messages. Connection timeouts are no longer misleadingly
logged as 'payment error'.
Closes#7559Closes#7512
The auxiliary client always calls client.chat.completions.create(),
ignoring the api_mode config flag. This breaks codex-family models
(e.g. gpt-5.3-codex) on direct OpenAI API keys, which need the
/v1/responses endpoint.
Changes:
- Expand _resolve_task_provider_model to return api_mode (5-tuple)
- Read api_mode from auxiliary.{task}.api_mode config and env vars
(AUXILIARY_{TASK}_API_MODE)
- Pass api_mode through _get_cached_client to resolve_provider_client
- Add _needs_codex_wrap/_wrap_if_needed helpers that wrap plain OpenAI
clients in CodexAuxiliaryClient when api_mode=codex_responses or
when auto-detection finds api.openai.com + codex model pattern
- Apply wrapping at all custom endpoint, named custom provider, and
API-key provider return paths
- Update test mocks for the new 5-tuple return format
Users can now set:
auxiliary:
compression:
model: gpt-5.3-codex
base_url: https://api.openai.com/v1
api_mode: codex_responses
Closes#6800
Aligns MiniMax provider with official API documentation. Fixes 6 bugs:
transport mismatch (openai_chat -> anthropic_messages), credential leak
in switch_model(), prompt caching sent to non-Anthropic endpoints,
dot-to-hyphen model name corruption, trajectory compressor URL routing,
and stale doctor health check.
Also corrects context window (204,800), thinking support (manual mode),
max output (131,072), and model catalog (M2 family only on /anthropic).
Source: https://platform.minimax.io/docs/api-reference/text-anthropic-api
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
When the model calls terminal() in foreground mode without background=true
(e.g. to start a server), the tool call blocks until the command exits or
the timeout expires. Without an upper bound the model can request arbitrarily
high timeouts (the schema had minimum=1 but no maximum), blocking the entire
agent session for hours until the gateway idle watchdog kills it.
Changes:
- Add FOREGROUND_MAX_TIMEOUT (600s, configurable via
TERMINAL_MAX_FOREGROUND_TIMEOUT env var) that caps foreground timeout
- Clamp effective_timeout to the cap when background=false and timeout
exceeds the limit
- Include a timeout_note in the tool result when clamped, nudging the
model to use background=true for long-running processes
- Update schema description to show the max timeout value
- Remove dead clamping code in the background branch that could never
fire (max_timeout was set to effective_timeout, so timeout > max_timeout
was always false)
- Add 7 tests covering clamping, no-clamping, config-default-exceeds-cap
edge case, background bypass, default timeout, constant value, and
schema content
Self-review fixes:
- Fixed bug where timeout_note said 'Requested timeout Nones' when
clamping fired from config default exceeding cap (timeout param is
None). Now uses unclamped_timeout instead of the raw timeout param.
- Removed unused pytest import from test file
- Extracted test config dict into _make_env_config() helper
- Fixed tautological test_default_value assertion
- Added missing test for config default > cap with no model timeout
The gateway /model command stored session overrides in
_session_model_overrides but run_sync() never consulted them when
resolving the model and runtime for the next message. It always read
from config.yaml, so the switch was lost as soon as a new agent was
created.
Two fixes:
1. In run_sync(), apply _session_model_overrides after resolving from
config.yaml/env — the override takes precedence for model, provider,
api_key, base_url, and api_mode.
2. In post-run fallback detection, check whether the model mismatch
(agent.model != config_model) is due to an intentional /model switch
before evicting the cached agent. Without this, the first message
after /model would work (cached agent reused) but the fallback
detector would evict it, causing the next message to revert.
Affects all gateway platforms (Telegram, Discord, Slack, WhatsApp,
Signal, Matrix, BlueBubbles, HomeAssistant) since they all share
GatewayRunner._run_agent().
Fixes#6213
The hardcoded User-Agent 'KimiCLI/1.3' is outdated — Kimi CLI is now at
v1.30.0. The stale version string causes intermittent 403 errors from
Kimi's coding endpoint ('only available for Coding Agents').
Update all 8 occurrences across run_agent.py, auxiliary_client.py, and
doctor.py to 'KimiCLI/1.30.0' to match the current official Kimi CLI.
MiniMax's Anthropic-compatible endpoints reject requests that include
the fine-grained-tool-streaming beta header — every tool-use message
triggers a connection error (~18s timeout). Regular chat works fine.
Add _common_betas_for_base_url() that filters out the tool-streaming
beta for Bearer-auth (MiniMax) endpoints while keeping all other betas.
All four client-construction branches now use the filtered list.
Based on #6528 by @HiddenPuppy.
Original cherry-picked from PR #6688 by kshitijk4poor.
Fixes#6510, fixes#6555.
Two linked fixes for MiniMax Anthropic-compatible fallback:
1. Normalize httpx.URL to str before calling .rstrip() in auth/provider
detection helpers. Some client objects expose base_url as httpx.URL,
not str — crashed with AttributeError in _requires_bearer_auth() and
_is_third_party_anthropic_endpoint(). Also fixes _try_activate_fallback()
to use the already-stringified fb_base_url instead of raw httpx.URL.
2. Strip Anthropic-proprietary thinking block signatures when targeting
third-party Anthropic-compatible endpoints (MiniMax, Azure AI Foundry,
self-hosted proxies). These endpoints cannot validate Anthropic's
signatures and reject them with HTTP 400 'Invalid signature in
thinking block'. Now threads base_url through convert_messages_to_anthropic()
→ build_anthropic_kwargs() so signature management is endpoint-aware.
Based on PR #4945 by kshitijk4poor (rstrip fix).
Fixes#4944.
Based on #6079 by @tunamitom with critical fixes and comprehensive tests.
Changes from #6079:
- Fix: sanitization overwrite bug — Qwen message prep now runs AFTER codex
field sanitization, not before (was silently discarding Qwen transforms)
- Fix: missing try/except AuthError in runtime_provider.py — stale Qwen
credentials now fall through to next provider on auto-detect
- Fix: 'qwen' alias conflict — bare 'qwen' stays mapped to 'alibaba'
(DashScope); use 'qwen-portal' or 'qwen-cli' for the OAuth provider
- Fix: hardcoded ['coder-model'] replaced with live API fetch + curated
fallback list (qwen3-coder-plus, qwen3-coder)
- Fix: extract _is_qwen_portal() helper + _qwen_portal_headers() to replace
5 inline 'portal.qwen.ai' string checks and share headers between init
and credential swap
- Fix: add Qwen branch to _apply_client_headers_for_base_url for mid-session
credential swaps
- Fix: remove suspicious TypeError catch blocks around _prompt_provider_choice
- Fix: handle bare string items in content lists (were silently dropped)
- Fix: remove redundant dict() copies after deepcopy in message prep
- Revert: unrelated ai-gateway test mock removal and model_switch.py comment deletion
New tests (30 test functions):
- _qwen_cli_auth_path, _read_qwen_cli_tokens (success + 3 error paths)
- _save_qwen_cli_tokens (roundtrip, parent creation, permissions)
- _qwen_access_token_is_expiring (5 edge cases: fresh, expired, within skew,
None, non-numeric)
- _refresh_qwen_cli_tokens (success, preserve old refresh, 4 error paths,
default expires_in, disk persistence)
- resolve_qwen_runtime_credentials (fresh, auto-refresh, force-refresh,
missing token, env override)
- get_qwen_auth_status (logged in, not logged in)
- Runtime provider resolution (direct, pool entry, alias)
- _build_api_kwargs (metadata, vl_high_resolution_images, message formatting,
max_tokens suppression)
Add win32 platform branch to clipboard.py so Ctrl+V image paste
works on native Windows (PowerShell / Windows Terminal), not just
WSL2.
Uses the same .NET System.Windows.Forms.Clipboard approach as the
WSL path but calls PowerShell directly instead of powershell.exe
(the WSL cross-call path). Tries 'powershell' first (Windows
PowerShell 5.1, always available), then 'pwsh' (PowerShell 7+).
PowerShell executable is discovered once and cached for the process
lifetime.
Includes 14 new tests covering:
- Platform dispatch (save_clipboard_image + has_clipboard_image)
- Image detection via PowerShell .NET check
- Base64 PNG extraction and decode
- Edge cases: no PowerShell, empty output, invalid base64, timeout
The cron delivery path sent raw 'MEDIA:/path/to/file' text instead
of uploading the file as a native attachment. The standalone path
(via _send_to_platform) already extracted MEDIA tags and forwarded
them as media_files, but the live adapter path passed the unprocessed
delivery_content directly to adapter.send().
Two bugs fixed:
1. Live adapter path now sends cleaned text (MEDIA tags stripped)
instead of raw content — prevents 'MEDIA:/path' from appearing
as literal text in Discord/Telegram/etc.
2. Live adapter path now sends each extracted media file via the
adapter's native method (send_voice for audio, send_image_file
for images, send_video for video, send_document as fallback) —
files are uploaded as proper platform attachments.
The file-type routing mirrors BasePlatformAdapter._process_message_background
to ensure consistent behavior between normal gateway responses and
cron-delivered responses.
Adds 2 tests:
- test_live_adapter_sends_media_as_attachments: verifies Discord
adapter receives send_voice call for .mp3 file
- test_live_adapter_sends_cleaned_text_not_raw: verifies MEDIA tag
stripped from text sent via live adapter
Two issues caused Matrix E2EE to silently not work in encrypted rooms:
1. When matrix-nio is installed without the [e2e] extra (no python-olm /
libolm), nio.crypto.ENCRYPTION_ENABLED is False and client.olm is
never initialized. The adapter logged warnings but returned True from
connect(), so the bot appeared online but could never decrypt messages.
Now: check_matrix_requirements() and connect() both hard-fail with a
clear error message when MATRIX_ENCRYPTION=true but E2EE deps are
missing.
2. Without a stable device_id, the bot gets a new device identity on each
restart. Other clients see it as "unknown device" and refuse to share
Megolm session keys. Now: MATRIX_DEVICE_ID env var lets users pin a
stable device identity that persists across restarts and is passed to
nio.AsyncClient constructor + restore_login().
Changes:
- gateway/platforms/matrix.py: add _check_e2ee_deps(), hard-fail in
connect() and check_matrix_requirements(), MATRIX_DEVICE_ID support
in constructor + restore_login
- gateway/config.py: plumb MATRIX_DEVICE_ID into platform extras
- hermes_cli/config.py: add MATRIX_DEVICE_ID to OPTIONAL_ENV_VARS
Closes#3521
The Signal adapter inherited base class defaults for send_image_file(),
send_voice(), and send_video() which only sent the file path as text
(e.g. '🖼️ Image: /tmp/chart.png') instead of actually delivering the file
as a Signal attachment.
When agent responses contain MEDIA:/path/to/file tags, the gateway
media pipeline extracts them and routes through these methods by file
type. Without proper overrides, image/audio/video files were never
actually delivered to Signal users.
Extract a shared _send_attachment() helper that handles all file
validation, size checking, group/DM routing, and RPC dispatch. The four
public methods (send_document, send_image_file, send_voice, send_video)
now delegate to this helper, following the same pattern used by WhatsApp
(_send_media_to_bridge) and Discord (_send_file_attachment).
The helper also uses a single stat() call with try/except FileNotFoundError
instead of the previous exists() + stat() two-syscall pattern, eliminating
a TOCTOU race. As a bonus, send_document() now gains the 100MB size check
that was previously missing (inconsistency with send_image).
Add 25 tests covering all methods plus MEDIA: tag extraction integration,
method-override guards, and send_document's new size check.
Fixes#5105
Telegram Bot API requires command names to contain only lowercase a-z,
digits 0-9, and underscores. Skill/plugin names containing characters
like +, /, @, or . caused set_my_commands to fail with
Bot_command_invalid.
Two-layer fix:
- scan_skill_commands(): strip non-alphanumeric/non-hyphen chars from
cmd_key at source, collapse consecutive hyphens, trim edges, skip
names that sanitize to empty string
- _sanitize_telegram_name(): centralized helper used by all 3 Telegram
name generation sites (core commands, plugin commands, skill commands)
with empty-name guard at each call site
Closes#5534
After restarting a service-managed gateway (systemd/launchd), the
stale-process sweep calls find_gateway_pids() which returns ALL gateway
PIDs via ps aux — including the one just spawned by the service manager.
The sweep kills it, leaving the user with a stopped gateway and a
confusing 'Restart manually' message.
Fix: add _get_service_pids() to query systemd MainPID and launchd PID
for active gateway services, then exclude those PIDs from the sweep.
Also add exclude_pids parameter to find_gateway_pids() and
kill_gateway_processes() so callers can skip known service-managed PIDs.
Adds 9 targeted tests covering:
- _get_service_pids() for systemd, launchd, empty, and zero-PID cases
- find_gateway_pids() exclude_pids filtering
- cmd_update integration: service PID not killed after restart
- cmd_update integration: manual PID killed while service PID preserved
- Rename per-LLM-call hooks from pre_llm_request/post_llm_request for clarity vs pre_llm_call
- Emit summary kwargs only (counts, usage dict from normalize_usage); keep env_var_enabled for HERMES_DUMP_REQUESTS
- Add is_truthy_value/env_var_enabled to utils; wire hermes_cli.plugins._env_enabled through it
- Update Langfuse local setup doc; add scripts/langfuse_smoketest.py and optional ~/.hermes plugin tests
Made-with: Cursor
Telegram polling can inherit a stale webhook registration when a deployment
switches transport modes, which leaves getUpdates idle even though the gateway
starts cleanly. Outbound send also treats Telegram retry_after responses as
terminal errors, so brief flood control can drop tool progress and replies.
Constraint: Keep the PR narrowly scoped to upstream/main Telegram adapter behavior
Rejected: Port OpenClaw's broader polling supervisor and offset persistence | too broad for an isolated fix PR
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Polling mode should clear webhook state before starting getUpdates, and send-path retry logic must distinguish flood control from timeouts
Tested: uv run --extra dev pytest tests/gateway/test_telegram_* -q
Not-tested: Live Telegram webhook-to-polling migration and real Bot API 429 behavior
Resolve exact label matches before treating digit-only input as a positional index so destructive auth removal does not mis-target credentials named with numeric labels.
Constraint: The CLI remove path must keep supporting existing index-based usage while adding safer label targeting
Rejected: Ban numeric labels | labels are free-form and existing users may already rely on them
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: When a destructive command accepts multiple identifier forms, prefer exact identity matches before fallback parsing heuristics
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (273 passed); py_compile on changed Python files
Not-tested: Full repository pytest suite
Persist structured exhaustion metadata from provider errors, use explicit reset timestamps when available, and expose label-based credential targeting in the auth CLI. This keeps long-lived Codex cooldowns from being misreported as one-hour waits and avoids forcing operators to manage entries by list position alone.
Constraint: Existing credential pool JSON needs to remain backward compatible with stored entries that only record status code and timestamp
Constraint: Runtime recovery must keep the existing retry-then-rotate semantics for 429s while enriching pool state with provider metadata
Rejected: Add a separate credential scheduler subsystem | too large for the Hermes pool architecture and unnecessary for this fix
Rejected: Only change CLI formatting | would leave runtime rotation blind to resets_at and preserve the serial-failure behavior
Confidence: high
Scope-risk: moderate
Reversibility: clean
Directive: Preserve structured rate-limit metadata when new providers expose reset hints; do not collapse back to status-code-only exhaustion tracking
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (272 passed); py_compile on changed Python files; hermes -w auth list/remove smoke test with temporary HERMES_HOME
Not-tested: Full repository pytest suite, broader gateway/integration flows outside the touched auth and pool paths
When /history is used in an empty chat or /resume with no argument,
show an inline table of recent resumable sessions with title, preview,
relative timestamp, and session ID instead of a dead-end message.
Table formatting matches the existing hermes sessions list style
(column headers + thin separators, no box drawing).
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
- Fix cron ThreadPoolExecutor blocking on timeout: use shutdown(wait=False,
cancel_futures=True) instead of context manager that waits indefinitely
- Extract _dequeue_pending_text() to deduplicate media-placeholder logic
in interrupt and normal-completion dequeue paths
- Remove hasattr guards for _running_agents_ts: add class-level default
so partial test construction works without scattered defensive checks
- Move `import concurrent.futures` to top of cron/scheduler.py
- Progress throttle: sleep remaining interval instead of busy-looping
0.1s (~15 wakeups per 1.5s window → 1 wakeup)
- Deduplicate _load_stt_config() in transcription_tools.py:
_has_openai_audio_backend() now delegates to _resolve_openai_audio_client_config()
Three targeted fixes from user-reported issues:
1. STT config resolution (transcription_tools.py):
_has_openai_audio_backend() and _resolve_openai_audio_client_config()
now check stt.openai.api_key/base_url in config.yaml FIRST, before
falling back to env vars. Fixes voice transcription breaking when
using a custom OpenAI-compatible endpoint via config.yaml.
2. Stream consumer flood control fallback (stream_consumer.py):
When an edit fails mid-stream (e.g., Telegram flood control returns
failure for waits >5s), reset _already_sent to False so the normal
final send path delivers the complete response. Previously, a
truncated partial was left as the final message.
3. Telegram edit_message comment alignment (telegram.py):
Clarify that long flood waits return failure so streaming can fall
back to a normal final send.
Three changes to prevent sessions from getting permanently locked:
1. Agent execution timeout (HERMES_AGENT_TIMEOUT, default 10min):
Wraps run_in_executor with asyncio.wait_for so a hung API call or
runaway tool can't lock a session indefinitely. On timeout, the
agent is interrupted and the user gets an actionable error message.
2. Staleness eviction for _running_agents:
Tracks start timestamps for each session entry. When a new message
arrives and the entry is older than timeout + 1min grace, it's
evicted as a leaked lock. Safety net for any cleanup path that
fails to remove the entry.
3. Cron job timeout (HERMES_CRON_TIMEOUT, default 10min):
Wraps run_conversation in a ThreadPoolExecutor with timeout so a
hung cron job doesn't block the ticker thread (and all subsequent
cron jobs) indefinitely.
Follows grammY runner's per-update timeout pattern and aiogram's
asyncio.wait_for approach for handler deadlines.
This warning fires on every successful streamed response (streaming
delivers the text, handler returns None via already_sent=True) and
on every queued message during active processing. Both are expected
behavior, not error conditions. Downgrade to DEBUG to reduce log noise.
Three bugs causing intermittent silent drops, partial responses, and
flood control delays on the Telegram platform:
1. Race condition in handle_message() — _active_sessions was set inside
the background task, not before create_task(). Two rapid messages
could both pass the guard and spawn duplicate processing tasks.
Fix: set _active_sessions synchronously before spawning the task
(grammY sequentialize / aiogram EventIsolation pattern).
2. Photo media loss on dequeue — when a photo (no caption) was queued
during active processing and later dequeued, only .text was
extracted. Empty text → message silently dropped.
Fix: _build_media_placeholder() creates text context for media-only
events so they survive the dequeue path.
3. Progress message edits triggered Telegram flood control — rapid tool
calls edited the progress message every 0.3s, hitting Telegram's
rate limit (23s+ waits). This blocked progress updates and could
cause stream consumer timeouts.
Fix: throttle edits to 1.5s minimum interval, detect flood control
errors and gracefully degrade to new messages. edit_message() now
returns failure for flood waits >5s instead of blocking.
Setup wizard now shows existing allowed_users when reconfiguring a
platform and preserves them if the user presses Enter. Previously the
wizard would display a misleading "No allowlist set" warning even when
the .env still held the original IDs.
Also downgrades the "provider X has no API key configured" log from
WARNING to DEBUG in resolve_provider_client — callers already handle
the None return with their own contextual messages. This eliminates
noisy startup warnings for providers in the fallback chain that the
user never configured (e.g. minimax).
Show inline diffs in the CLI transcript when write_file, patch, or
skill_manage modifies files. Captures a filesystem snapshot before the
tool runs, computes a unified diff after, and renders it with ANSI
coloring in the activity feed.
Adds tool_start_callback and tool_complete_callback hooks to AIAgent
for pre/post tool execution notifications.
Also fixes _extract_parallel_scope_path to normalize relative paths
to absolute, preventing the parallel overlap detection from missing
conflicts when the same file is referenced with different path styles.
Gated by display.inline_diffs config option (default: true).
Based on PR #3774 by @kshitijk4poor.
- measure status bar display width using prompt_toolkit cell widths
- trim rendered status text when fragments would overflow
- add a final single-fragment fallback to prevent wrapping
- update width assertions to validate display cells instead of len()
Fixes two Signal bugs:
1. SSE connection: URL-encode phone numbers so + isn't interpreted as space (400 Bad Request)
2. Attachment fetch: use 'id' parameter instead of 'attachmentId' (NullPointerException in signal-cli)
Also refactors Signal tests with shared helpers.
parallel-cli is a paid third-party vendor skill that requires
PARALLEL_API_KEY, but it was shipped in the default skills/ directory
with no env-var gate. This caused it to appear in every user's system
prompt even when they have no Parallel account or API key.
Move it to optional-skills/ so it is only visible through the Skills
Hub and must be explicitly installed. Also remove it from the default
skills catalog docs.
Add FastMCP skill to optional-skills/mcp/fastmcp/ with:
- SKILL.md with workflow, design patterns, quality checklist
- Templates: API wrapper, database server, file processor
- Scaffold CLI script for template instantiation
- FastMCP CLI reference documentation
Moved to optional-skills (requires pip install fastmcp).
Based on work by kshitijk4poor in PR #2096.
Closes#343
When a skill declares required_environment_variables in its YAML
frontmatter, missing env vars trigger a secure TUI prompt (identical
to the sudo password widget) when the skill is loaded. Secrets flow
directly to ~/.hermes/.env, never entering LLM context.
Key changes:
- New required_environment_variables frontmatter field for skills
- Secure TUI widget (masked input, 120s timeout)
- Gateway safety: messaging platforms show local setup guidance
- Legacy prerequisites.env_vars normalized into new format
- Remote backend handling: conservative setup_needed=True
- Env var name validation, file permissions hardened to 0o600
- Redact patterns extended for secret-related JSON fields
- 12 existing skills updated with prerequisites declarations
- ~48 new tests covering skip, timeout, gateway, remote backends
- Dynamic panel widget sizing (fixes hardcoded width from original PR)
Cherry-picked from PR #723 by kshitijk4poor, rebased onto current main
with conflict resolution.
Fixes#688
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Skills can now declare runtime prerequisites (env vars, CLI binaries) via
YAML frontmatter. Skills with unmet prerequisites are excluded from the
system prompt so the agent never claims capabilities it can't deliver, and
skill_view() warns the agent about what's missing.
Three layers of defense:
- build_skills_system_prompt() filters out unavailable skills
- _find_all_skills() flags unmet prerequisites in metadata
- skill_view() returns prerequisites_warning with actionable details
Tagged 12 bundled skills that have hard runtime dependencies:
gif-search (TENOR_API_KEY), notion (NOTION_API_KEY), himalaya, imessage,
apple-notes, apple-reminders, openhue, duckduckgo-search, codebase-inspection,
blogwatcher, songsee, mcporter.
Closes#658Fixes#630
kshitijk4poor