f9052d7ecf024ead56b962d7cce1f1f8adf51fb8
9 Commits
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a5beb6d8f0 |
fix(whatsapp): image downloading, bridge reuse, LID allowlist, Baileys 7.x compat
Salvaged from PR #2162 by @Zindar. Reply prefix changes excluded (already on main via #1756 configurable prefix). Bridge improvements (bridge.js): - Download incoming images to ~/.hermes/image_cache/ via downloadMediaMessage so the agent can actually see user-sent photos - Add getMessage callback required for Baileys 7.x E2EE session re-establishment (without it, some messages arrive as null) - Build LID→phone reverse map for allowlist resolution (WhatsApp LID format) - Add placeholder body for media without caption: [image received] - Bind express to 127.0.0.1 instead of 0.0.0.0 for security - Use 127.0.0.1 consistently throughout (more reliable than localhost) Adapter improvements (whatsapp.py): - Detect and reuse already-running bridge (only if status=connected) - Handle local file paths from bridge-cached images in _build_message_event - Don't kill external bridges on disconnect - Use 127.0.0.1 throughout for consistency with bridge binding Fix vs original PR: bridge reuse now checks status=connected, not just HTTP 200. A disconnected bridge gets restarted instead of reused. Co-authored-by: Zindar <zindar@users.noreply.github.com> |
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dd60bcbfb7 |
feat: OpenAI-compatible API server + WhatsApp configurable reply prefix (#1756)
* feat: OpenAI-compatible API server platform adapter Salvaged from PR #956, updated for current main. Adds an HTTP API server as a gateway platform adapter that exposes hermes-agent via the OpenAI Chat Completions and Responses APIs. Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat, AnythingLLM, NextChat, ChatBox, etc.) can connect by pointing at http://localhost:8642/v1. Endpoints: - POST /v1/chat/completions — stateless Chat Completions API - POST /v1/responses — stateful Responses API with chaining - GET /v1/responses/{id} — retrieve stored response - DELETE /v1/responses/{id} — delete stored response - GET /v1/models — list hermes-agent as available model - GET /health — health check Features: - Real SSE streaming via stream_delta_callback (uses main's streaming) - In-memory LRU response store for Responses API conversation chaining - Named conversations via 'conversation' parameter - Bearer token auth (optional, via API_SERVER_KEY) - CORS support for browser-based frontends - System prompt layering (frontend system messages on top of core) - Real token usage tracking in responses Integration points: - Platform.API_SERVER in gateway/config.py - _create_adapter() branch in gateway/run.py - API_SERVER_* env vars in hermes_cli/config.py - Env var overrides in gateway/config.py _apply_env_overrides() Changes vs original PR #956: - Removed streaming infrastructure (already on main via stream_consumer.py) - Removed Telegram reply_to_mode (separate feature, not included) - Updated _resolve_model() -> _resolve_gateway_model() - Updated stream_callback -> stream_delta_callback - Updated connect()/disconnect() to use _mark_connected()/_mark_disconnected() - Adapted to current Platform enum (includes MATTERMOST, MATRIX, DINGTALK) Tests: 72 new tests, all passing Docs: API server guide, Open WebUI integration guide, env var reference * feat(whatsapp): make reply prefix configurable via config.yaml Reworked from PR #1764 (ifrederico) to use config.yaml instead of .env. The WhatsApp bridge prepends a header to every outgoing message. This was hardcoded to '⚕ *Hermes Agent*'. Users can now customize or disable it via config.yaml: whatsapp: reply_prefix: '' # disable header reply_prefix: '🤖 *My Bot*\n───\n' # custom prefix How it works: - load_gateway_config() reads whatsapp.reply_prefix from config.yaml and stores it in PlatformConfig.extra['reply_prefix'] - WhatsAppAdapter reads it from config.extra at init - When spawning bridge.js, the adapter passes it as WHATSAPP_REPLY_PREFIX in the subprocess environment - bridge.js handles undefined (default), empty (no header), or custom values with \\n escape support - Self-chat echo suppression uses the configured prefix Also fixes _config_version: was 9 but ENV_VARS_BY_VERSION had a key 10 (TAVILY_API_KEY), so existing users at v9 would never be prompted for Tavily. Bumped to 10 to close the gap. Added a regression test to prevent this from happening again. Credit: ifrederico (PR #1764) for the bridge.js implementation and the config version gap discovery. --------- Co-authored-by: Test <test@test.com> |
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342a0ad372 |
fix(whatsapp): support LID format in self-chat mode (#1556)
* fix: prevent infinite 400 failure loop on context overflow (#1630) When a gateway session exceeds the model's context window, Anthropic may return a generic 400 invalid_request_error with just 'Error' as the message. This bypassed the phrase-based context-length detection, causing the agent to treat it as a non-retryable client error. Worse, the failed user message was still persisted to the transcript, making the session even larger on each attempt — creating an infinite loop. Three-layer fix: 1. run_agent.py — Fallback heuristic: when a 400 error has a very short generic message AND the session is large (>40% of context or >80 messages), treat it as a probable context overflow and trigger compression instead of aborting. 2. run_agent.py + gateway/run.py — Don't persist failed messages: when the agent returns failed=True before generating any response, skip writing the user's message to the transcript/DB. This prevents the session from growing on each failure. 3. gateway/run.py — Smarter error messages: detect context-overflow failures and suggest /compact or /reset specifically, instead of a generic 'try again' that will fail identically. * fix(skills): detect prompt injection patterns and block cache file reads Adds two security layers to prevent prompt injection via skills hub cache files (#1558): 1. read_file: blocks direct reads of ~/.hermes/skills/.hub/ directory (index-cache, catalog files). The 3.5MB clawhub_catalog_v1.json was the original injection vector — untrusted skill descriptions in the catalog contained adversarial text that the model executed. 2. skill_view: warns when skills are loaded from outside the trusted ~/.hermes/skills/ directory, and detects common injection patterns in skill content ("ignore previous instructions", "<system>", etc.). Cherry-picked from PR #1562 by ygd58. * fix(tools): chunk long messages in send_message_tool before dispatch (#1552) Long messages sent via send_message tool or cron delivery silently failed when exceeding platform limits. Gateway adapters handle this via truncate_message(), but the standalone senders in send_message_tool bypassed that entirely. - Apply truncate_message() chunking in _send_to_platform() before dispatching to individual platform senders - Remove naive message[i:i+2000] character split in _send_discord() in favor of centralized smart splitting - Attach media files to last chunk only for Telegram - Add regression tests for chunking and media placement Cherry-picked from PR #1557 by llbn. * fix(approval): show full command in dangerous command approval (#1553) Previously the command was truncated to 80 chars in CLI (with a [v]iew full option), 500 chars in Discord embeds, and missing entirely in Telegram/Slack approval messages. Now the full command is always displayed everywhere: - CLI: removed 80-char truncation and [v]iew full menu option - Gateway (TG/Slack): approval_required message includes full command in a code block - Discord: embed shows full command up to 4096-char limit - Windows: skip SIGALRM-based test timeout (Unix-only) - Updated tests: replaced view-flow tests with direct approval tests Cherry-picked from PR #1566 by crazywriter1. * fix(cli): flush stdout during agent loop to prevent macOS display freeze (#1624) The interrupt polling loop in chat() waited on the queue without invalidating the prompt_toolkit renderer. On macOS, the StdoutProxy buffer only flushed on input events, causing the CLI to appear frozen during tool execution until the user typed a key. Fix: call _invalidate() on each queue timeout (every ~100ms, throttled to 150ms) to force the renderer to flush buffered agent output. * fix(claw): warn when API keys are skipped during OpenClaw migration (#1580) When --migrate-secrets is not passed (the default), API keys like OPENROUTER_API_KEY are silently skipped with no warning. Users don't realize their keys weren't migrated until the agent fails to connect. Add a post-migration warning with actionable instructions: either re-run with --migrate-secrets or add the key manually via hermes config set. Cherry-picked from PR #1593 by ygd58. * fix(security): block sandbox backend creds from subprocess env (#1264) Add Modal and Daytona sandbox credentials to the subprocess env blocklist so they're not leaked to agent terminal sessions via printenv/env. Cherry-picked from PR #1571 by ygd58. * fix(gateway): cap interrupt recursion depth to prevent resource exhaustion (#816) When a user sends multiple messages while the agent keeps failing, _run_agent() calls itself recursively with no depth limit. This can exhaust stack/memory if the agent is in a failure loop. Add _MAX_INTERRUPT_DEPTH = 3. When exceeded, the pending message is logged and the current result is returned instead of recursing deeper. The log handler duplication bug described in #816 was already fixed separately (AIAgent.__init__ deduplicates handlers). * fix(gateway): /model shows active fallback model instead of config default (#1615) When the agent falls back to a different model (e.g. due to rate limiting), /model still showed the config default. Now tracks the effective model/provider after each agent run and displays it. Cleared when the primary model succeeds again or the user explicitly switches via /model. Cherry-picked from PR #1616 by MaxKerkula. Added hasattr guard for test compatibility. * feat(gateway): inject reply-to message context for out-of-session replies (#1594) When a user replies to a Telegram message, check if the quoted text exists in the current session transcript. If missing (from cron jobs, background tasks, or old sessions), prepend [Replying to: "..."] to the message so the agent has context about what's being referenced. - Add reply_to_text field to MessageEvent (base.py) - Populate from Telegram's reply_to_message (text or caption) - Inject context in _handle_message when not found in history Based on PR #1596 by anpicasso (cherry-picked reply-to feature only, excluded unrelated /server command and background delegation changes). * fix: recognize Claude Code OAuth credentials in startup gate (#1455) The _has_any_provider_configured() startup check didn't look for Claude Code OAuth credentials (~/.claude/.credentials.json). Users with only Claude Code auth got the setup wizard instead of starting. Cherry-picked from PR #1455 by kshitijk4poor. * perf: use ripgrep for file search (200x faster than find) search_files(target='files') now uses rg --files -g instead of find. Ripgrep respects .gitignore, excludes hidden dirs by default, and has parallel directory traversal — ~200x faster on wide trees (0.14s vs 34s benchmarked on 164-repo tree). Falls back to find when rg is unavailable, preserving hidden-dir exclusion and BSD find compatibility. Salvaged from PR #1464 by @light-merlin-dark (Merlin) — adapted to preserve hidden-dir exclusion added since the original PR. * refactor(tts): replace NeuTTS optional skill with built-in provider + setup flow Remove the optional skill (redundant now that NeuTTS is a built-in TTS provider). Replace neutts_cli dependency with a standalone synthesis helper (tools/neutts_synth.py) that calls the neutts Python API directly in a subprocess. Add TTS provider selection to hermes setup: - 'hermes setup' now prompts for TTS provider after model selection - 'hermes setup tts' available as standalone section - Selecting NeuTTS checks for deps and offers to install: espeak-ng (system) + neutts[all] (pip) - ElevenLabs/OpenAI selections prompt for API keys - Tool status display shows NeuTTS install state Changes: - Remove optional-skills/mlops/models/neutts/ (skill + CLI scaffold) - Add tools/neutts_synth.py (standalone synthesis subprocess helper) - Move jo.wav/jo.txt to tools/neutts_samples/ (bundled default voice) - Refactor _generate_neutts() — uses neutts API via subprocess, no neutts_cli dependency, config-driven ref_audio/ref_text/model/device - Add TTS setup to hermes_cli/setup.py (SETUP_SECTIONS, tool status) - Update config.py defaults (ref_audio, ref_text, model, device) * fix(docker): add explicit env allowlist for container credentials (#1436) Docker terminal sessions are secret-dark by default. This adds terminal.docker_forward_env as an explicit allowlist for env vars that may be forwarded into Docker containers. Values resolve from the current shell first, then fall back to ~/.hermes/.env. Only variables the user explicitly lists are forwarded — nothing is auto-exposed. Cherry-picked from PR #1449 by @teknium1, conflict-resolved onto current main. Fixes #1436 Supersedes #1439 * fix: email send_typing metadata param + ☤ Hermes staff symbol - email.py: add missing metadata parameter to send_typing() to match BasePlatformAdapter signature (PR #1431 by @ItsChoudhry) - README.md: ⚕ → ☤ — the caduceus is Hermes's staff, not the medical Staff of Asclepius (PR #1420 by @rianczerwinski) * fix(whatsapp): support LID format in self-chat mode (#1556) WhatsApp now uses LID (Linked Identity Device) format alongside classic @s.whatsapp.net. Self-chat detection checked only the classic format, breaking self-chat mode for users on newer WhatsApp versions. - Check both sock.user.id and sock.user.lid for self-chat detection - Accept 'append' message type in addition to 'notify' (self-chat messages arrive as 'append') - Track sent message IDs to prevent echo-back loops with media - Add WHATSAPP_DEBUG env var for troubleshooting Based on PR #1556 by jcorrego (manually applied due to cherry-pick conflicts). --------- Co-authored-by: buray <ygd58@users.noreply.github.com> Co-authored-by: lbn <llbn@users.noreply.github.com> Co-authored-by: crazywriter1 <53251494+crazywriter1@users.noreply.github.com> Co-authored-by: Max K <MaxKerkula@users.noreply.github.com> Co-authored-by: Angello Picasso <angello.picasso@devsu.com> Co-authored-by: kshitij <kshitijk4poor@users.noreply.github.com> Co-authored-by: jcorrego <jcorrego@users.noreply.github.com> |
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6b37d38dee |
Merge PR #292: feat(whatsapp): native media attachments for images, videos and documents
Authored by satelerd. Adds native WhatsApp media sending for images, videos, and documents via MEDIA: tags. Also includes conflict resolution with edit_message feature, Telegram hint fix (only advertise supported media types), and import cleanup. |
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a1767fd69c |
feat(whatsapp): consolidate tool progress into single editable message
Instead of sending a separate WhatsApp message for each tool call during agent execution (N+1 messages), the first tool sends a new message and subsequent tools edit it to append their line. Result: 1 growing progress message + 1 final response = 2 messages instead of N+1. Changes: - bridge.js: Add POST /edit endpoint using Baileys message editing - base.py: Add optional edit_message() to BasePlatformAdapter (no-op default, so platforms without editing support work unchanged) - whatsapp.py: Implement edit_message() calling bridge /edit - run.py: Rewrite send_progress_messages() to accumulate tool lines and edit the progress message. Falls back to sending a new message if edit fails (graceful degradation). Before (5 tools = 6 messages): ⚕ Hermes Agent ─── 🔍 web_search... "query" ⚕ Hermes Agent ─── 📄 web_extract... "url" ⚕ Hermes Agent ─── 💻 terminal... "pip install" ⚕ Hermes Agent ─── ✍️ write_file... "app.py" ⚕ Hermes Agent ─── 💻 terminal... "python app.py" ⚕ Hermes Agent ─── Done! The server is running... After (5 tools = 2 messages): ⚕ Hermes Agent ─── 🔍 web_search... "query" 📄 web_extract... "url" 💻 terminal... "pip install" ✍️ write_file... "app.py" 💻 terminal... "python app.py" ⚕ Hermes Agent ─── Done! The server is running... Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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14b0ad95c6 |
docs: enhance WhatsApp setup instructions and introduce mode selection
Updated the README and messaging documentation to clarify the two modes for WhatsApp integration: 'bot' mode (recommended) and 'self-chat' mode. Improved setup instructions to guide users through the configuration process, including allowlist management and dependency installation. Adjusted CLI commands to reflect these changes and ensure a smoother user experience. Additionally, modified the WhatsApp bridge to support the new mode functionality. |
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3588396263 |
feat(whatsapp): native media sending — images, videos, documents
Add a /send-media endpoint to the WhatsApp bridge and corresponding adapter methods so the agent can send files as native WhatsApp attachments instead of plain-text URLs/paths. - bridge.js: new POST /send-media endpoint using Baileys' native image/video/document/audio message types with MIME detection - base.py: add send_video(), send_document(), send_image_file() with text fallbacks; route MEDIA: tags by file extension instead of always treating them as voice messages - whatsapp.py: implement all media methods via a shared _send_media_to_bridge() helper; override send_image() to download URLs to local cache and send as native photos - prompt_builder.py: update WhatsApp and Telegram platform hints so the agent knows it can use MEDIA:/path tags to send native media |
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96043a8f7e | fix(whatsapp): skip agent's own replies in bridge message handler | ||
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9fc0ca0a72 | add full support for whatsapp |