ℹ️ About Codex in GitHub

\\n
\\n\\n[Your team has set up Codex to review pull requests in this repo](http://chatgpt.com/codex/settings/general). Reviews are triggered when you\\n- Open a pull request for review\\n- Mark a draft as ready\\n- Comment \\\"@codex review\\\".\\n\\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\\n\\n\\n\\n\\nCodex can also answer questions or update the PR. Try commenting \\\"@codex address that feedback\\\".\\n \\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Bound image file size before base64 encoding**\\n\\nEach image is loaded fully into memory and then expanded to base64 with no per-file or total-size cap. Large uploads (or multiple medium images) can create very large in-memory payloads and oversized model requests, causing OOM/restarts or upstream request rejection. Add a size budget (and fallback behavior) before calling `readFile`/`toString(\\\"base64\\\")` to keep worker memory and prompt size bounded.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"packages/worker/src/openclaw/worker.ts\",\"side\":\"RIGHT\",\"line\":null}","text_elements",[],{"_456":1048,"_447":448,"_458":450},{"_459":1049,"_461":-5,"_41":-5,"_462":-5,"_95":313,"_91":463},[1050],{"_45":1044,"_91":777},"turn/started",{"_447":448,"_86":1053},{"_102":-5,"_41":450,"_451":1054,"_453":1055},[],"inProgress","thread/started",{"_1058":1059},"thread",{"_1060":-5,"_1061":-5,"_1062":1063,"_1064":1065,"_499":500,"_1066":15,"_1067":-5,"_1068":1069,"_41":448,"_1070":1071,"_172":-5,"_157":1072,"_1073":190,"_506":1074,"_453":-5,"_76":1075,"_1076":1065},"agentNickname","agentRole","cliVersion","0.88.0","createdAt",1772653832,"ephemeral","forkedFromId","gitInfo",{"_125":1077,"_1078":-5,"_1079":128},"modelProvider","experimental_ws","/opt/codex/sessions/2026/03/04/rollout-2026-03-04T19-50-32-019cba66-e7af-7331-ae5c-99cfb136f28e.jsonl","preview","vscode",[],"updatedAt","work","originUrl","sha",{"_456":1081,"_447":448,"_458":1082},{"_459":1083,"_461":-5,"_41":-5,"_462":-5,"_95":313,"_91":463},"auto-compact-0",[1084],{"_45":1085,"_91":777},"\n /workspace/lobu\n bash\n",{"_456":1087,"_447":448,"_458":1082},{"_459":1088,"_461":-5,"_41":-5,"_462":-5,"_95":313,"_91":463},[1089],{"_45":1090,"_91":777},"# AGENTS.md instructions for /workspace/lobu\n\n\n## Project Structure & Module Organization\n\n### Package Architecture\n- **`packages/core`**: Shared code between gateway and worker (interfaces, utils, types). Any code reused by both must live here.\n- **`packages/gateway`**: Platform-agnostic gateway. Slack code under `src/slack/`. Orchestration under `src/orchestration/`. Future chat platforms (Discord, Teams) will live alongside as separate modules in dispatcher pattern.\n- **`packages/worker`**: Agent execution via OpenClaw runtime in `src/openclaw/`. Worker talks only to gateway and agent. No Slack/platform knowledge.\n\n### Module Boundaries\n- Gateway: Slack → `src/slack/`, Telegram → `src/telegram/`, orchestration → `src/orchestration/`, future platforms → `src/dispatcher/{platform}/`\n- Worker: Platform-agnostic, agent logic isolated to `src/openclaw/`\n- Core: Shared interfaces, utils, types for gateway+worker\n- **Platform isolation**: InteractionService events (e.g. `link-button:created`) carry an explicit `platform` field. Each platform renderer MUST filter on its own platform identity (`platform === \"telegram\"`, `platform === \"slack\"`). Never reference another platform's identifier — a Slack renderer must not check `teamId === \"telegram\"` or vice versa.\n\n### Repository Layout\n- Monorepo managed by Bun workspaces: `packages/gateway`, `packages/worker`, `packages/core`.\n- Top-level: `Makefile`, `scripts/` (CLI/setup), `charts/lobu` (Helm), `config/` (biome, knip, etc.), `docker/` (Dockerfiles, compose), `docs/` (CHANGELOG, SECURITY, etc.), `.env*`.\n- TypeScript sources under `packages/*/src`. Tests in `packages/*/src/__tests__` and `packages/core/tests`.\n- **ALWAYS prefer `bun` commands over `npm`**\n- When fixing unused parameter errors, remove the parameter entirely if possible rather than prefixing with underscore\n- Worker prompt delivery: prompts are passed to the agent runtime directly (no named pipes used)\n\n### Architecture\n\n#### Platform\nWe currently use WhatsApp and Telegram as messaging platforms (Slack support also available but not configured).\nTelegram code under `packages/gateway/src/telegram/`. Uses Grammy library with long-polling.\nThere is also a public endpoint in gateway to trigger running the agent.\nSettings page provider order is drag-sortable via handle, with per-provider model selection inline in each provider row.\n\n#### Orchestration\n- **Deployment modes**: Kubernetes (production), Docker (development)\n- All workers are sandboxed with your settings.\n- **Workers must NEVER see real credentials.** Provider credentials are resolved by the gateway proxy using agentId from the URL path (`/api/proxy/{slug}/a/{agentId}/...`). Workers only receive opaque placeholders in env vars.\n\n#### MCP\n- Users pass the LOBU_MCP_SERVERS_URL env (pointing to `.lobu/mcp.config.json`) to enable MCP proxy in the gateway.\n- Workers get MCP settings from gateway's internal config endpoint and use their JWT token to perform MCP calls through the proxy.\n- Built-in MCPs available to workers: AskUser (request user input), UploadFile (share files with user).\n\n#### Network\n\n- Workers run on isolated internal network (`lobu-internal`) with no direct internet access. Gateway sits on both `lobu-public` and `lobu-internal` networks, acting as single egress point.\n- **Proxy filtering**: Gateway runs custom Node.js HTTP proxy on port 8118. Workers configured with `HTTP_PROXY=http://gateway:8118` for all outbound requests (curl/wget/npm/git).\n- **Network access control** (via `WORKER_ALLOWED_DOMAINS` environment variable):\n - **Complete isolation** (default): Leave empty or unset → workers have NO internet access\n - **Allowlist mode**: `WORKER_ALLOWED_DOMAINS=\"github.com\"` → deny by default, allow only these domains\n - **Unrestricted access**: `WORKER_ALLOWED_DOMAINS=\"*\"` → allow all domains (not recommended for production)\n - **Blocklist mode**: `WORKER_ALLOWED_DOMAINS=\"*\"` + `WORKER_DISALLOWED_DOMAINS=\"malicious.com,spam.org\"` → allow all except blocked\n- **Domain format**: Exact domain (`api.example.com`) or wildcard (`.example.com` matches `*.example.com`)\n- **Enforcement**: Docker's `internal: true` network flag prevents routing to external networks at infrastructure layer. Even if worker code is compromised, no network route exists. HTTP proxy provides selective access to approved domains only.\n\n## TypeScript Build System\n\nTypeScript packages must be compiled from `src/` → `dist/`. If you modify any package source code, run `make build-packages`. `make dev` (docker compose watch) automatically builds and syncs changes.\n\n## Instructions\n- You MUST only do what has been asked; nothing more, nothing less.\n- When the user types a Slack message link (slack.com/archives/x/x/?thread_ts=) you MUST call ./scripts/slack-thread-viewer.js \"link\" to gather context\n- When you are in planning mode and you're not fully sure, you need to ask 'codex exec \"YOUR_QUESTION\" --config model_reasoning_effort=\"high\"'\n- When you make changes to worker code (`packages/worker/*`), run `make clean-workers` to ensure new workers use the updated code.\n- The \"is running\" thread status indicator (with rotating messages) provides user feedback during processing; visible \"Still processing\" heartbeat messages are not sent to avoid clutter.\n- Anytime you make changes in the code, you MUST:\n\n1. Have the stack running (`make dev`).\n2. Test the bot using the test script:\n```bash\n./scripts/test-bot.sh \"@me test prompt\"\n```\nThe script automatically handles sending the message, waiting for response, and checking logs. You can send multiple messages in sequence:\n```bash\n./scripts/test-bot.sh \"@me first message\" \"follow up question\" \"another question\"\n```\n\n- If you create ephemeral files, you MUST delete them when you're done with them.\n- Use Docker to build and run the Slack bot in development mode, K8S for production.\n- NEVER proactively create documentation files (\\*.md) or README files. Only create documentation files if explicitly requested by the User. If you need to remember something, add it to CLAUDE.md as a a single sentence.\n- ALWAYS ignore `/dist/` directories when analyzing code - these contain compiled artifacts, not source\n- If you're referencing Slack threads or users in your response, add their direct links as well.\n\n## File Upload Support\n\nFile attachments are fully supported in all message contexts (DM, app mentions, assistant threads). Gateway fetches complete message details via Slack API to ensure file metadata is captured, downloads files to worker's input directory, and the agent is instructed about file locations.\n\n## Development Mode\n\n### Prerequisites\n- Bun: installed\n- Docker Desktop: running\n\n### First-time Setup\n```bash\n./scripts/setup-dev.sh\n```\n\n### Starting Development\n```bash\nmake dev\n```\n\nThis runs `docker compose watch` which starts the full stack (gateway, Redis, etc.) and auto-syncs source changes into containers. No manual rebuilds needed.\n\n### Hot Reload\n- **Gateway + Packages**: `docker compose watch` (`make dev`) auto-syncs source changes\n- **Worker**: Run `make clean-workers` after worker code changes\n\n### Testing\n```bash\n./scripts/test-bot.sh \"@me test prompt\"\n```\n\n### Check Logs\n```bash\ndocker compose -f docker/docker-compose.yml logs -f gateway\n```\n\n### Deployment\n1. **Development**: `make dev` (docker compose watch)\n2. **Kubernetes deployment**: Use `make deploy` for production deployment\n\n## Environment Configuration\n\nThe `.env` file is the single source of truth for all secrets and configuration.\n\n### Local Development\n- Gateway reads `.env` on startup via Docker Compose\n- Restart after `.env` changes: `make dev` (or `docker compose -f docker/docker-compose.yml up`)\n- Settings link token TTL defaults to 1 hour; optional dev override: `SETTINGS_TOKEN_TTL_MS` (milliseconds, e.g. `4233600000` for 7 weeks).\n\n### Kubernetes Deployment\nWhen `.env` changes, sync secrets to K8s using Sealed Secrets:\n\n```bash\n# Seal and apply secrets from .env\n./scripts/seal-env.sh --apply\n\n# Or output to file for review\n./scripts/seal-env.sh -o sealed-secrets.yaml\nkubectl apply -f sealed-secrets.yaml\n```\n\n**Prerequisites for Sealed Secrets:**\n```bash\n# Install controller (once per cluster)\nhelm repo add sealed-secrets https://bitnami-labs.github.io/sealed-secrets\nhelm install sealed-secrets sealed-secrets/sealed-secrets -n kube-system\n\n# Install CLI\nbrew install kubeseal\n```\n\nThe gateway deployment has a checksum annotation that triggers automatic pod restart when secrets change via `helm upgrade`.\n\n### Secrets Strategy Matrix\n\n| Environment | Script | Approach | Git Safe |\n|-------------|--------|----------|----------|\n| **Production** | `./scripts/seal-env.sh --apply` | SealedSecrets | Yes - encrypted |\n| **Staging** | `./scripts/seal-env.sh --apply` | SealedSecrets | Yes - encrypted |\n| **Local K8s** | `./scripts/sync-env-to-k8s.sh` | Plain Secrets | No - dev only |\n| **Docker** | N/A (reads .env directly) | File mount | N/A |\n\n**Key Rules:**\n- **Production**: Always use SealedSecrets. Never commit plain secrets to Git.\n- **Local dev**: Use `sync-env-to-k8s.sh` for convenience (creates plain K8s secrets that disappear when cluster is deleted).\n- **Never mix**: Choose one strategy per cluster and stick with it.\n\n## Development Configuration\n\n- Rate limiting is disabled in local development\n- Worker image built with `make build-worker` or `make setup`\n## Persistent Storage\n\nWorker deployments use persistent volumes for session continuity across scale-to-zero:\n\n1. **Per-Deployment PVC**: Each worker deployment gets its own PersistentVolumeClaim (1 thread = 1 PVC) mounted at `/workspace`\n2. **Session Storage**: Agent sessions are stored in `/workspace/` (via `HOME=/workspace` environment variable)\n3. **Auto-Resume**: When a worker scales back up, it automatically detects existing sessions and resumes\n4. **Cleanup**: PVCs are automatically deleted when deployments are cleaned up after thread inactivity\n5. **Docker Mode**: Uses host directory mounts at `./workspaces/{threadId}/` for equivalent persistence\n\n## MCP OAuth Authentication\n\nMCP (Model Context Protocol) servers can be authenticated via OAuth. Users authenticate through the Slack home tab.\n\n### Configuration\n\n1. **Set public gateway URL** (required for OAuth callbacks):\n```bash\nPUBLIC_GATEWAY_URL=https://your-domain.com\n```\n\n2. **Configure OAuth callback URL** in your OAuth provider:\n```\n${PUBLIC_GATEWAY_URL}/mcp/oauth/callback\n```\n\n3. **Configure MCP servers** with OAuth (two options):\n\n**Option A: Full OAuth2 Configuration (Recommended)**\n```json\n{\n \"mcpServers\": {\n \"github\": {\n \"url\": \"https://github-mcp.example.com\",\n \"oauth\": {\n \"authUrl\": \"https://github.com/login/oauth/authorize\",\n \"tokenUrl\": \"https://github.com/login/oauth/access_token\",\n \"clientId\": \"YOUR_GITHUB_CLIENT_ID\",\n \"clientSecret\": \"${env:GITHUB_CLIENT_SECRET}\",\n \"scopes\": [\"repo\", \"read:user\"],\n \"grantType\": \"authorization_code\",\n \"responseType\": \"code\"\n }\n },\n \"google\": {\n \"url\": \"https://google-mcp.example.com\",\n \"oauth\": {\n \"authUrl\": \"https://accounts.google.com/o/oauth2/v2/auth\",\n \"tokenUrl\": \"https://oauth2.googleapis.com/token\",\n \"clientId\": \"YOUR_GOOGLE_CLIENT_ID\",\n \"clientSecret\": \"${env:GOOGLE_CLIENT_SECRET}\",\n \"scopes\": [\"https://www.googleapis.com/auth/userinfo.profile\"]\n }\n }\n }\n}\n\n**Option B: Simple Login URL (Basic)**\n```json\n{\n \"mcpServers\": {\n \"custom\": {\n \"url\": \"https://custom-mcp.example.com\",\n \"loginUrl\": \"https://custom-mcp.example.com/oauth/authorize?client_id=YOUR_CLIENT_ID\"\n }\n }\n}\n```\n\n4. **Set client secrets in environment variables**:\n```bash\nexport GITHUB_CLIENT_SECRET=your_github_client_secret\nexport GOOGLE_CLIENT_SECRET=your_google_client_secret\n```\n\n### User Authentication Flow\n\n1. User opens Slack app home tab\n2. Sees \"Login\" button for unauthenticated MCPs\n3. Clicks \"Login\" → receives DM with OAuth link\n4. Completes OAuth on MCP provider's site\n5. Redirected back to callback → credentials stored\n6. Home tab updates to show \"Connected\" with logout button\n\n### Credential Storage\n\n- Stored in Redis: `mcp:credential:{userId}:{mcpId}`\n- Contains: accessToken, tokenType, expiresAt, refreshToken, metadata\n- OAuth state stored temporarily (5 min TTL) for CSRF protection\n\n## Testing Bot Deployments\n\nUse the `test-bot.sh` script for easy bot testing. No manual curl commands needed.\n\n**Platform self-testing behavior:**\n- **Slack**: Cannot trigger its own event handlers (Slack filters bot-to-self messages). The test script uses `/api/messaging/send` endpoint which posts via bot token, then gateway receives as normal Slack events.\n- **WhatsApp**: Supports self-chat mode! Set `WHATSAPP_SELF_CHAT=true` and send to the bot's own phone number. The gateway detects self-messages and queues them directly to workers, bypassing event handler filters.\n- **Telegram**: `test-bot.sh` supports Telegram via `TEST_PLATFORM=telegram` and `TEST_CHANNEL=` (or `TELEGRAM_TEST_CHAT_ID`) and sends through `tguser` as a real user account. Requires `TG_API_ID` and `TG_API_HASH` env vars (stored in `.env`). Bot receives via Grammy long-polling. In groups, @mention is always required; in DMs all messages are processed.\n\n### Basic Test\n```bash\n./scripts/test-bot.sh \"@me hello\"\n```\n\n### Multi-Message Conversation Test\n```bash\n# Send multiple messages in sequence (automatically uses same thread)\n./scripts/test-bot.sh \"@me what is 5+5?\" \"now multiply that by 3\" \"thanks!\"\n```\n\n### Custom Channel and Timeout\n```bash\n# Set environment variables\nexport TEST_PLATFORM=\"slack\" # or \"whatsapp\" or \"telegram\"\nexport TEST_CHANNEL=\"my-channel\"\nexport TEST_TIMEOUT=60 # seconds to wait for response\n\n./scripts/test-bot.sh \"@me test with custom settings\"\n```\n\n### File Upload Test\nFor file uploads, use the messaging API directly:\n```bash\ncurl -X POST http://localhost:8080/api/messaging/send \\\n -H \"Authorization: Bearer $SLACK_BOT_TOKEN\" \\\n -F \"platform=slack\" \\\n -F \"channel=test-channel\" \\\n -F \"message=@me analyze these files\" \\\n -F \"files=@data.csv\" \\\n -F \"files=@document.pdf\"\n```\n\n### Telegram Test\nUse `test-bot.sh`:\n```bash\nTEST_PLATFORM=telegram TEST_CHANNEL=@lobuaibot ./scripts/test-bot.sh \"hello test\"\n```\n\nOr use `tguser` CLI (requires `TG_API_ID` and `TG_API_HASH` from `.env`):\n```bash\ntguser send @lobuaibot \"hello test\"\n```\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /opt/codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /opt/codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n",{"_456":1092,"_447":448,"_458":1082},{"_459":1093,"_461":-5,"_41":-5,"_462":-5,"_95":1094,"_91":463},[1095],"developer",{"_45":1096,"_91":777},"Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled. Approvals are your mechanism to get user consent to run shell commands without the sandbox. `approval_policy` is `never`: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is paired with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.",[],"messages",[1100],{"_41":1101,"_1102":1103,"_1104":1105,"_1106":1105,"_459":1107,"_453":1108,"_461":-5,"_1109":31,"_1110":1111,"_1112":1113,"_1114":-5},"b4135725-3ccc-4108-8953-45c2805342fe","author",{"_95":313,"_172":-5,"_1110":1123},"create_time",1772653831.449978,"update_time",{"_1119":45,"_1120":1121},"finished_successfully","weight","metadata",{"_1115":1116},"recipient","all","channel","l1239dk1",{"_1117":1118},"inline_comments",[],"content_type","parts",[1122],"@codex solve these issues\nAdd vision/image analysis support to worker prompts\n\n## Description\nThis PR adds multi-modal prompt support to the OpenClaw worker, enabling vision analysis of uploaded images. When image files are present in user uploads, they are now automatically included in the prompt as image content blocks rather than just being referenced as file paths.\n\n### Key Changes\n- Import `ImageContent` and `TextContent` types from `@mariozechner/pi-ai`\n- Add `IMAGE_MIME_TYPES` static set to identify supported image formats (PNG, JPEG, GIF, WebP)\n- Implement `getImageContentBlocks()` method to load and convert image files to base64-encoded content blocks\n- Modify prompt handling to build multi-modal prompts when images are present, combining text and image content\n- Update user files section messaging to distinguish between image files (included directly) and non-image files (accessible via commands)\n- Add logging for image loading operations and vision analysis\n\n## Type of Change\n- [x] New feature (non-breaking change which adds functionality)\n\n## Testing\n- Existing prompt handling remains unchanged when no images are present\n- Multi-modal prompt path is only triggered when image files are detected\n- Image loading includes error handling with warning logs for failed reads\n- File type detection uses MIME type checking against a predefined set\n\n## Checklist\n- [x] Code follows project style guidelines\n- [x] Changes are backward compatible (text-only prompts work as before)\n- [x] Error handling included for image loading failures\n- [x] Logging added for debugging vision analysis operations\n\n## Additional Notes\nThe implementation gracefully degrades to text-only prompts when no images are present, ensuring no impact on existing functionality. Image files are loaded from the workspace input directory and converted to base64 for inclusion in the multi-modal prompt.\n\nhttps://claude.ai/code/session_01JE1v44vrqYVTbrmkA25CR4\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Gate image prompts on model vision capability**\n\nThis branch sends a multimodal payload whenever any uploaded file is classified as an image, but there is no check that the selected `provider/model` can accept image content. In sessions using text-only models, `session.prompt(...)` will fail on these image blocks and the whole request errors out, whereas the previous behavior still allowed processing via local file tools. Please gate this path on model capabilities (or catch/retry with text-only prompt) so image uploads don’t hard-fail non-vision models.\n\nUseful? React with 👍 / 👎.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `0531ae8081`\n \n\n

ℹ️ About Codex in GitHub

\n
\n\n[Your team has set up Codex to review pull requests in this repo](http://chatgpt.com/codex/settings/general). Reviews are triggered when you\n- Open a pull request for review\n- Mark a draft as ready\n- Comment \"@codex review\".\n\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\n\n\n\n\nCodex can also answer questions or update the PR. Try commenting \"@codex address that feedback\".\n \n

\n**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Bound image file size before base64 encoding**\n\nEach image is loaded fully into memory and then expanded to base64 with no per-file or total-size cap. Large uploads (or multiple medium images) can create very large in-memory payloads and oversized model requests, causing OOM/restarts or upstream request rejection. Add a size budget (and fallback behavior) before calling `readFile`/`toString(\"base64\")` to keep worker memory and prompt size bounded.\n\nUseful? React with 👍 / 👎.",{},"created",1772653945.8162928,"Completing the task","event_type","info",{"_91":463,"_95":92,"_459":1908},{"_91":1155,"_1156":1157},{"_91":1132,"_1133":588,"_1134":1135,"_1136":1137,"_1138":-5},"pr","pr_title","pr_message","### Motivation\n- Prevent non-vision models from hard-failing when users upload images by falling back to a text-only prompt if the multimodal call fails.\n- Prevent large or multiple image uploads from blowing memory or creating oversized model requests by enforcing per-file and total embedded image size budgets.\n\n### Description\n- Try `session.prompt(..., { images })` first and, if it throws and images were present, log a warning and retry `session.prompt(...)` without images to preserve text-only model compatibility.\n- Add a pre-read per-file check using `fs.stat` against `MAX_IMAGE_BYTES` and a total prompt budget `MAX_TOTAL_IMAGE_BYTES` to skip images that would exceed limits and avoid reading oversized files.\n- Base64-encode images only after passing the size checks and track `totalEmbeddedBytes` to enforce the prompt-wide cap.\n- Update the file I/O instruction hint text to clarify that direct image inclusion depends on model vision support and attachment size limits, and add warning logs on skipped/failed image loads.\n\n### Testing\n- Ran `make clean-workers` to ensure worker images will use updated code; the command completed but reported Docker CLI was not available in this environment.\n- Attempted `make dev`, which failed due to missing `docker` binary in the environment (no local Docker available).\n- Attempted `./scripts/test-bot.sh \"@me test prompt\"`, which failed because `TEST_PLATFORM` was not configured in this environment.\n- Attempted `make build-packages`, which failed due to missing local TypeScript/Bun test typing dependencies (e.g., `bun:test` / Node type errors) in this environment.","output_diff",{"_91":1136,"_1139":500,"_127":128,"_1140":-5,"_312":1141,"_1142":1143,"_1144":318,"_1145":1146,"_1147":1148,"_1149":1150,"_1151":-5},"pre_apply_patch","repo_id","preapply_patch_base_commit_sha","diff --git a/packages/worker/src/openclaw/worker.ts b/packages/worker/src/openclaw/worker.ts\nindex 7462285acceef0805ba3c08ff1dd4a80dd9de507..e5b3a39411ffafc1085a09c4bbd9a4a828f82c78 100644\n--- a/packages/worker/src/openclaw/worker.ts\n+++ b/packages/worker/src/openclaw/worker.ts\n@@ -737,56 +737,69 @@ Use it when the user references past discussions or you need context.`);\n return line;\n });\n configNotice = `[System notice: Your configuration was updated since the last message]\\n${lines.join(\"\\n\")}\\n\\n`;\n }\n \n const beforeAgentStartResults = await runPluginHooks({\n plugins: loadedPlugins,\n hook: \"before_agent_start\",\n event: {\n prompt: userPrompt,\n messages: session.messages as unknown as Record[],\n },\n ctx: pluginHookContext,\n });\n const prependContexts = beforeAgentStartResults\n .flatMap((result) => {\n if (!result || typeof result !== \"object\") return [];\n const prepend = (result as Record).prependContext;\n if (typeof prepend !== \"string\" || !prepend.trim()) return [];\n return [prepend.trim()];\n })\n .join(\"\\n\\n\");\n \n const effectivePromptText = `${configNotice}${sessionSummary ? `${sessionSummary}\\n\\n` : \"\"}${prependContexts ? `${prependContexts}\\n\\n` : \"\"}${userPrompt}`;\n \n- // Load image attachments for vision-capable models\n+ // Load image attachments for multi-modal prompt path\n const images = await this.loadImageAttachments();\n if (images.length > 0) {\n logger.info(`Including ${images.length} image(s) in prompt for vision`);\n }\n- await session.prompt(effectivePromptText, { images });\n+\n+ try {\n+ await session.prompt(effectivePromptText, { images });\n+ } catch (error) {\n+ if (images.length === 0) {\n+ throw error;\n+ }\n+\n+ logger.warn(\n+ \"Image prompt failed, retrying without images for non-vision model compatibility:\",\n+ error\n+ );\n+ await session.prompt(effectivePromptText);\n+ }\n await done;\n \n const sessionError = this.progressProcessor.consumeFatalErrorMessage();\n if (sessionError) {\n await runPluginHooks({\n plugins: loadedPlugins,\n hook: \"agent_end\",\n event: {\n success: false,\n error: sessionError,\n messages: session.messages as unknown as Record[],\n },\n ctx: pluginHookContext,\n });\n const errorWithHint = await this.maybeBuildAuthHintMessage(\n sessionError,\n provider,\n modelId,\n gatewayUrl,\n workerToken\n );\n return {\n success: false,\n exitCode: 1,\n output: \"\",\n@@ -956,108 +969,127 @@ Use it when the user references past discussions or you need context.`);\n ## File Generation & Output\n \n **When to Create Files:**\n Create and show files for any output that helps answer the user's request by using \\`UploadUserFile\\` tool:\n - **Charts & visualizations**: pie charts, bar graphs, plots, diagrams via \\`matplotlib\\`\n - **Reports & documents**: analysis reports, summaries, PDFs\n - **Data files**: CSV exports, JSON data, spreadsheets\n - **Code files**: scripts, configurations, examples\n - **Images**: generated images, processed photos, screenshots.\n `;\n }\n \n const fileListing = files\n .map(\n (f) =>\n `- \\`${workspaceDir}/input/${f.name}\\` (${f.mimetype || \"unknown type\"})`\n )\n .join(\"\\n\");\n \n const hasImages = files.some((f) => OpenClawWorker.isImage(f.mimetype));\n const hasNonImages = files.some((f) => !OpenClawWorker.isImage(f.mimetype));\n \n let hints = \"\";\n if (hasImages) {\n hints +=\n- \"\\nImage files have been included directly in this message for visual analysis.\";\n+ \"\\nImage files are included directly for visual analysis when the selected model supports vision and attachment size limits.\";\n }\n if (hasNonImages) {\n hints +=\n \"\\nYou can read non-image files with standard commands like `cat`, `less`, or `head`.\";\n }\n \n return `\n \n ## File Generation & Output\n \n **When to Create Files:**\n Create and show files for any output that helps answer the user's request by using \\`UploadUserFile\\` tool:\n - **Charts & visualizations**: pie charts, bar graphs, plots, diagrams via \\`matplotlib\\`\n - **Reports & documents**: analysis reports, summaries, PDFs\n - **Data files**: CSV exports, JSON data, spreadsheets\n - **Code files**: scripts, configurations, examples\n - **Images**: generated images, processed photos, screenshots.\n \n ### User-Uploaded Files\n The user has uploaded ${files.length} file(s) for you to analyze:\n ${fileListing}\n \n **Use these files to answer the user's request.**${hints}\n `;\n }\n \n /** Max image size to embed in prompt (20 MB). Larger files are skipped. */\n private static readonly MAX_IMAGE_BYTES = 20 * 1024 * 1024;\n \n+ /** Max total embedded image bytes per prompt (30 MB). */\n+ private static readonly MAX_TOTAL_IMAGE_BYTES = 30 * 1024 * 1024;\n+\n private async loadImageAttachments(): Promise {\n const imageFiles = this.uploadedFiles.filter((f) =>\n OpenClawWorker.isImage(f.mimetype)\n );\n if (imageFiles.length === 0) return [];\n \n const inputDir = path.join(\n this.workspaceManager.getCurrentWorkingDirectory(),\n \"input\"\n );\n const results: ImageContent[] = [];\n+ let totalEmbeddedBytes = 0;\n \n for (const file of imageFiles) {\n try {\n- const data = await fs.readFile(path.join(inputDir, file.name));\n- if (data.length > OpenClawWorker.MAX_IMAGE_BYTES) {\n+ const filePath = path.join(inputDir, file.name);\n+ const stats = await fs.stat(filePath);\n+\n+ if (stats.size > OpenClawWorker.MAX_IMAGE_BYTES) {\n+ logger.warn(\n+ `Skipping image ${file.name}: ${Math.round(stats.size / 1024 / 1024)}MB exceeds per-file limit`\n+ );\n+ continue;\n+ }\n+\n+ if (\n+ totalEmbeddedBytes + stats.size > OpenClawWorker.MAX_TOTAL_IMAGE_BYTES\n+ ) {\n logger.warn(\n- `Skipping image ${file.name}: ${Math.round(data.length / 1024 / 1024)}MB exceeds limit`\n+ `Skipping image ${file.name}: total image budget would exceed ${Math.round(OpenClawWorker.MAX_TOTAL_IMAGE_BYTES / 1024 / 1024)}MB`\n );\n continue;\n }\n+\n+ const data = await fs.readFile(filePath);\n+\n results.push({\n type: \"image\",\n data: data.toString(\"base64\"),\n mimeType: file.mimetype,\n });\n+ totalEmbeddedBytes += stats.size;\n logger.info(\n- `Loaded image: ${file.name} (${file.mimetype}, ${Math.round(data.length / 1024)}KB)`\n+ `Loaded image: ${file.name} (${file.mimetype}, ${Math.round(stats.size / 1024)}KB)`\n );\n } catch (error) {\n logger.warn(`Failed to load image ${file.name}:`, error);\n }\n }\n \n return results;\n }\n \n private async maybeBuildAuthHintMessage(\n errorMessage: string,\n provider: string,\n 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bun","import * as fs from \"node:fs/promises\";","import * as path from \"node:path\";","import { Readable } from \"node:stream\";","import { pipeline } from \"node:stream/promises\";","import {"," createLogger,"," type PluginsConfig,"," type ToolsConfig,"," type WorkerTransport,","} from \"@lobu/core\";","import { getModel, type ImageContent } from \"@mariozechner/pi-ai\";"," AuthStorage,"," createAgentSession,"," ModelRegistry,"," SettingsManager,","} from \"@mariozechner/pi-coding-agent\";","import * as Sentry from \"@sentry/node\";","import { handleExecutionError } from \"../core/error-handler\";","import { listAppDirectories } from \"../core/project-scanner\";","import type {"," ProgressUpdate,"," SessionExecutionResult,"," WorkerConfig,"," WorkerExecutor,","} from \"../core/types\";","import { WorkspaceManager } from \"../core/workspace\";","import { HttpWorkerTransport } from \"../gateway/gateway-integration\";","import { generateCustomInstructions } from \"../instructions/builder\";"," getApiKeyEnvVarForProvider,"," getProviderAuthHintFromError,","} from \"../shared/provider-auth-hints\";","import { createOpenClawCustomTools } from \"./custom-tools\";","import { OpenClawCoreInstructionProvider } from \"./instructions\";"," DEFAULT_PROVIDER_BASE_URL_ENV,"," openOrCreateSessionManager,"," PROVIDER_REGISTRY_ALIASES,"," registerDynamicProvider,"," resolveModelRef,","} from \"./model-resolver\";"," loadPlugins,"," runPluginHooks,"," startPluginServices,"," stopPluginServices,","} from \"./plugin-loader\";","import { OpenClawProgressProcessor } from \"./processor\";","import { getOpenClawSessionContext } from \"./session-context\";"," buildToolPolicy,"," enforceBashCommandPolicy,"," isToolAllowedByPolicy,","} from \"./tool-policy\";","import { createOpenClawTools } from \"./tools\";","const logger = createLogger(\"worker\");","export class OpenClawWorker implements WorkerExecutor {"," private workspaceManager: WorkspaceManager;"," public workerTransport: WorkerTransport;"," private config: WorkerConfig;"," private progressProcessor: OpenClawProgressProcessor;"," constructor(config: WorkerConfig) {"," this.config = config;"," this.workspaceManager = new WorkspaceManager(config.workspace);"," this.progressProcessor = new OpenClawProgressProcessor();"," // Verify required environment variables"," const gatewayUrl = process.env.DISPATCHER_URL;"," const workerToken = process.env.WORKER_TOKEN;"," if (!gatewayUrl || !workerToken) {"," throw new Error("," \"DISPATCHER_URL and WORKER_TOKEN environment variables are required\""," );"," }"," if (!config.teamId) {"," throw new Error(\"teamId is required for worker initialization\");"," if (!config.conversationId) {"," throw new Error(\"conversationId is required for worker initialization\");"," this.workerTransport = new HttpWorkerTransport({"," gatewayUrl,"," workerToken,"," userId: config.userId,"," channelId: config.channelId,"," conversationId: config.conversationId,"," originalMessageTs: config.responseId,"," botResponseTs: config.botResponseId,"," teamId: config.teamId,"," platform: config.platform,"," });"," }"," /**"," * Main execution workflow"," */"," async execute(): Promise {"," const executeStartTime = Date.now();"," try {"," this.progressProcessor.reset();"," logger.info("," `🚀 Starting OpenClaw worker for session: ${this.config.sessionKey}`"," `[TIMING] Worker execute() started at: ${new Date(executeStartTime).toISOString()}`"," // Decode user prompt"," const userPrompt = Buffer.from(this.config.userPrompt, \"base64\").toString("," \"utf-8\""," logger.info(`User prompt: ${userPrompt.substring(0, 100)}...`);"," // Setup workspace"," logger.info(\"Setting up workspace...\");"," await Sentry.startSpan("," {"," name: \"worker.workspace_setup\","," op: \"worker.setup\","," attributes: {"," \"user.id\": this.config.userId,"," \"session.key\": this.config.sessionKey,"," },"," },"," async () => {"," await this.workspaceManager.setupWorkspace("," this.config.userId,"," this.config.sessionKey"," );"," const { initModuleWorkspace } = await import(\"../modules/lifecycle\");"," await initModuleWorkspace({"," workspaceDir: this.workspaceManager.getCurrentWorkingDirectory(),"," username: this.config.userId,"," sessionKey: this.config.sessionKey,"," });"," }"," // Setup I/O directories for file handling"," await this.setupIODirectories();"," // Download input files if any"," await this.downloadInputFiles();"," // Generate custom instructions"," let customInstructions = await generateCustomInstructions("," new OpenClawCoreInstructionProvider(),"," userId: this.config.userId,"," agentId: this.config.agentId,"," sessionKey: this.config.sessionKey,"," workingDirectory: this.workspaceManager.getCurrentWorkingDirectory(),"," availableProjects: listAppDirectories("," this.workspaceManager.getCurrentWorkingDirectory()"," ),"," // Call module onSessionStart hooks to allow modules to modify system prompt"," try {"," const { onSessionStart } = await import(\"../modules/lifecycle\");"," const moduleContext = await onSessionStart({"," platform: this.config.platform,"," channelId: this.config.channelId,"," conversationId: this.config.conversationId,"," messageId: this.config.responseId,"," customInstructions,"," });"," if (moduleContext.customInstructions) {"," customInstructions = moduleContext.customInstructions;"," } catch (error) {"," logger.error(\"Failed to call onSessionStart hooks:\", error);"," }"," // Add file I/O instructions AFTER module hooks so they aren't overwritten"," customInstructions += this.getFileIOInstructions();"," // Execute AI session"," `[TIMING] Starting OpenClaw session at: ${new Date().toISOString()}`"," const aiStartTime = Date.now();"," `[TIMING] Total worker startup time: ${aiStartTime - executeStartTime}ms`"," let firstOutputLogged = false;"," const result = await Sentry.startSpan("," name: \"worker.openclaw_execution\","," op: \"ai.inference\","," \"conversation.id\": this.config.conversationId,"," agent: \"OpenClaw\","," return await this.runAISession("," userPrompt,"," customInstructions,"," async (update) => {"," if (!firstOutputLogged && update.type === \"output\") {"," logger.info("," `[TIMING] First OpenClaw output at: ${new Date().toISOString()} (${Date.now() - aiStartTime}ms after start)`"," );"," firstOutputLogged = true;"," }"," if (update.type === \"output\" && update.data) {"," const delta ="," typeof update.data === \"string\" ? update.data : null;"," if (delta) {"," await this.workerTransport.sendStreamDelta(delta, false);"," }"," } else if (update.type === \"status_update\") {"," await this.workerTransport.sendStatusUpdate("," update.data.elapsedSeconds,"," update.data.state"," }"," // Collect module data before sending final response"," const { collectModuleData } = await import(\"../modules/lifecycle\");"," const moduleData = await collectModuleData({"," workspaceDir: this.workspaceManager.getCurrentWorkingDirectory(),"," userId: this.config.userId,"," conversationId: this.config.conversationId,"," });"," this.workerTransport.setModuleData(moduleData);"," // Handle result"," if (result.success) {"," const finalResult = this.progressProcessor.getFinalResult();"," if (finalResult) {"," logger.info("," `📤 Sending final result (${finalResult.text.length} chars) with deduplication flag`"," await this.workerTransport.sendStreamDelta("," finalResult.text,"," false,"," finalResult.isFinal"," } else {"," \"Session completed successfully - all content already streamed\""," await this.workerTransport.signalDone();"," } else {"," const errorMsg = result.error || \"Unknown error\";"," const isTimeout = result.exitCode === 124;"," if (isTimeout) {"," `Session timed out (exit code 124) - will be retried automatically, not showing error to user`"," throw new Error(\"SESSION_TIMEOUT\");"," `❌ Session failed: ${errorMsg}`,"," true,"," true"," await this.workerTransport.signalError(new Error(errorMsg));"," `Worker completed with ${result.success ? \"success\" : \"failure\"}`"," } catch (error) {"," await handleExecutionError(error, this.workerTransport);"," async cleanup(): Promise {"," logger.info(\"Cleaning up worker resources...\");"," logger.info(\"Worker cleanup completed\");"," logger.error(\"Error during cleanup:\", error);"," getWorkerTransport(): WorkerTransport | null {"," return this.workerTransport;"," private getWorkingDirectory(): string {"," return this.workspaceManager.getCurrentWorkingDirectory();"," // ---------------------------------------------------------------------------"," // AI session"," private async runAISession("," userPrompt: string,"," customInstructions: string,"," onProgress: (update: ProgressUpdate) => Promise"," ): Promise {"," const rawOptions = JSON.parse(this.config.agentOptions) as Record<"," string,"," unknown"," >;"," const verboseLogging = rawOptions.verboseLogging === true;"," this.progressProcessor.setVerboseLogging(verboseLogging);"," // Fetch session context BEFORE model resolution so AGENT_DEFAULT_PROVIDER"," // is available when resolveModelRef() needs a fallback provider."," const context = await getOpenClawSessionContext();"," const pc = context.providerConfig;"," if (pc.credentialEnvVarName) {"," process.env.CREDENTIAL_ENV_VAR_NAME = pc.credentialEnvVarName;"," if (pc.defaultProvider) {"," process.env.AGENT_DEFAULT_PROVIDER = pc.defaultProvider;"," if (pc.defaultModel) {"," process.env.AGENT_DEFAULT_MODEL = pc.defaultModel;"," if (pc.providerBaseUrlMappings) {"," for (const [envVar, url] of Object.entries(pc.providerBaseUrlMappings)) {"," process.env[envVar] = url;"," // Register config-driven providers so resolveModelRef() can handle them"," if (pc.configProviders) {"," for (const [id, meta] of Object.entries(pc.configProviders)) {"," registerDynamicProvider(id, meta);"," const modelRef ="," typeof rawOptions.model === \"string\" ? rawOptions.model : \"\";"," const { provider: rawProvider, modelId } = resolveModelRef(modelRef);"," // Map gateway slug to model-registry provider name (e.g. \"z-ai\" → \"zai\")"," const provider = PROVIDER_REGISTRY_ALIASES[rawProvider] || rawProvider;"," // Dynamic provider base URL from agentOptions.providerBaseUrlMappings"," let providerBaseUrl: string | undefined;"," const dynamicMappings = rawOptions.providerBaseUrlMappings as"," | Record"," | undefined;"," if (dynamicMappings && typeof dynamicMappings === \"object\") {"," const fallbackEnvVar = DEFAULT_PROVIDER_BASE_URL_ENV[rawProvider];"," if (fallbackEnvVar && dynamicMappings[fallbackEnvVar]) {"," providerBaseUrl = dynamicMappings[fallbackEnvVar];"," for (const [envVar, url] of Object.entries(dynamicMappings)) {"," if (!process.env[envVar]) {"," process.env[envVar] = url;"," if (!providerBaseUrl) {"," providerBaseUrl ="," typeof rawOptions.providerBaseUrl === \"string\""," ? rawOptions.providerBaseUrl.trim() || undefined"," : undefined;"," const baseUrlEnvVar = DEFAULT_PROVIDER_BASE_URL_ENV[rawProvider];"," if (baseUrlEnvVar && process.env[baseUrlEnvVar]) {"," providerBaseUrl = process.env[baseUrlEnvVar];"," const baseModel = getModel(provider as any, modelId as any) as any;"," if (!baseModel) {"," `Model \"${modelId}\" not found for provider \"${provider}\". Check that the model ID is valid and registered in the model registry.`"," const model = providerBaseUrl"," ? { ...baseModel, baseUrl: providerBaseUrl }"," : baseModel;"," const workspaceDir = this.getWorkingDirectory();"," await fs.mkdir(path.join(workspaceDir, \".openclaw\"), { recursive: true });"," const sessionFile = path.join(workspaceDir, \".openclaw\", \"session.jsonl\");"," const providerStateFile = path.join("," workspaceDir,"," \".openclaw\","," \"provider.json\""," );"," // Detect provider change and reset session if needed"," let sessionSummary: string | undefined;"," const raw = await fs.readFile(providerStateFile, \"utf-8\");"," const prevState = JSON.parse(raw) as {"," provider: string;"," modelId: string;"," };"," if (prevState.provider && prevState.provider !== provider) {"," logger.info("," `Provider changed from ${prevState.provider} to ${provider}, resetting session`"," );"," // Read old session content for summary context"," try {"," const sessionContent = await fs.readFile(sessionFile, \"utf-8\");"," const lineCount = sessionContent.split(\"\\n\").filter(Boolean).length;"," if (lineCount > 0) {"," // Provide a brief context note instead of a full summary"," // to avoid an expensive API call to the new model"," sessionSummary = `[System note: The AI provider was just changed from ${prevState.provider} to ${provider}. Previous conversation history (${lineCount} turns) has been cleared. Continue helping the user from this point forward.]`;"," }"," } catch {"," // No existing session file"," // Delete old session file to start fresh"," await fs.unlink(sessionFile);"," // File may not exist"," } catch {"," // No previous provider state file - first run"," // Persist current provider state"," await fs.writeFile("," providerStateFile,"," JSON.stringify({ provider, modelId }),"," \"utf-8\""," const sessionManager = await openOrCreateSessionManager("," sessionFile,"," workspaceDir"," const settingsManager = SettingsManager.inMemory();"," const toolsPolicy = buildToolPolicy({"," toolsConfig: rawOptions.toolsConfig as ToolsConfig | undefined,"," allowedTools: rawOptions.allowedTools as string | string[] | undefined,"," disallowedTools: rawOptions.disallowedTools as"," | string"," | string[]"," | undefined,"," let tools = createOpenClawTools(workspaceDir).filter((tool) =>"," isToolAllowedByPolicy(tool.name, toolsPolicy)"," if ("," toolsPolicy.bashPolicy.allowPrefixes.length > 0 ||"," toolsPolicy.bashPolicy.denyPrefixes.length > 0"," ) {"," tools = tools.map((tool) => {"," if (tool.name !== \"bash\") {"," return tool;"," return {"," ...tool,"," execute: async (toolCallId, params, signal, onUpdate) => {"," const command ="," params && typeof params === \"object\" && \"command\" in params"," ? String((params as { command?: unknown }).command ?? \"\")"," : \"\";"," enforceBashCommandPolicy(command, toolsPolicy.bashPolicy);"," return tool.execute(toolCallId, params as any, signal, onUpdate);"," };"," const gatewayUrl = process.env.DISPATCHER_URL ?? \"\";"," const workerToken = process.env.WORKER_TOKEN ?? \"\";"," // Credential injection — must happen AFTER session context applies"," // CREDENTIAL_ENV_VAR_NAME to process.env (above)."," const authStorage = new AuthStorage();"," const credEnvVar = process.env.CREDENTIAL_ENV_VAR_NAME || null;"," if (credEnvVar && process.env[credEnvVar]) {"," authStorage.setRuntimeApiKey(provider, process.env[credEnvVar]!);"," logger.info(`Set runtime API key for ${provider} from ${credEnvVar}`);"," } else {"," const fallbackEnvVar = getApiKeyEnvVarForProvider(provider);"," if (process.env[fallbackEnvVar]) {"," authStorage.setRuntimeApiKey(provider, process.env[fallbackEnvVar]!);"," `Set runtime API key for ${provider} from fallback ${fallbackEnvVar}`"," // Re-resolve provider base URL after session context may have updated mappings"," // Merge gateway instructions into custom instructions"," const instructionParts = [context.gatewayInstructions, customInstructions];"," // Prefer CLI backends from dynamic session context, fall back to env var"," const cliBackends = pc.cliBackends?.length"," ? pc.cliBackends"," : process.env.CLI_BACKENDS"," ? (JSON.parse(process.env.CLI_BACKENDS) as Array<{"," name: string;"," command: string;"," args?: string[];"," }>)"," : undefined;"," if (cliBackends?.length) {"," const agentList = cliBackends"," .map((b) => {"," const cmd = `${b.command} ${(b.args || []).join(\" \")}`;"," const aliases = [b.name, (b as any).providerId].filter("," (v, i, a) => v && a.indexOf(v) === i"," return `### ${aliases.join(\" / \")}","Run via Bash exactly as shown (do NOT modify the command):","\\`\\`\\`bash","${cmd} \"YOUR_PROMPT_HERE\"","\\`\\`\\``;"," })"," .join(\"\\n\\n\");"," instructionParts.push("," `## Available Coding Agents","You have access to the following AI coding agents. When the user mentions any of these by name (e.g. \"use claude\", \"ask chatgpt\"), you MUST run the exact command shown below via the Bash tool. Do NOT attempt to install or locate the CLI yourself — the command handles everything.","${agentList}","Replace \"YOUR_PROMPT_HERE\" with the user's request. These agents can read/write files, install packages, and run commands in the working directory.`"," instructionParts.push(`## Conversation History","You have access to GetChannelHistory to view previous messages in this thread.","Use it when the user references past discussions or you need context.`);"," const finalInstructions = instructionParts.filter(Boolean).join(\"\\n\\n\");"," const customTools = createOpenClawCustomTools({"," channelId: this.config.channelId,"," conversationId: this.config.conversationId,"," platform: this.config.platform,"," // Load OpenClaw plugins"," const pluginsConfig = rawOptions.pluginsConfig as PluginsConfig | undefined;"," const loadedPlugins = await loadPlugins(pluginsConfig, workspaceDir);"," const pluginTools = loadedPlugins.flatMap((p) => p.tools);"," if (pluginTools.length > 0) {"," customTools.push(...pluginTools);"," `Loaded ${pluginTools.length} tool(s) from ${loadedPlugins.length} plugin(s)`"," // Apply plugin provider registrations to ModelRegistry"," const modelRegistry = new ModelRegistry(authStorage);"," const allProviders = loadedPlugins.flatMap((p) => p.providers);"," for (const reg of allProviders) {"," modelRegistry.registerProvider(reg.name, reg.config as any);"," logger.info(`Registered provider \"${reg.name}\" from plugin`);"," } catch (err) {"," logger.error("," `Failed to register provider \"${reg.name}\": ${err instanceof Error ? err.message : String(err)}`"," await startPluginServices(loadedPlugins);"," logger.info("," `Starting OpenClaw session: provider=${provider}, model=${modelId}, tools=${tools.length}, customTools=${customTools.length}`"," // Heartbeat timer to keep connection alive during long API calls"," const HEARTBEAT_INTERVAL_MS = 20000;"," let heartbeatTimer: Timer | null = null;"," let deltaTimer: Timer | null = null;"," let session:"," | Awaited>[\"session\"]"," | null = null;"," const pluginHookContext: Record = {"," cwd: workspaceDir,"," sessionKey: this.config.sessionKey,"," messageProvider: this.config.platform,"," };"," const createdSession = await createAgentSession({"," cwd: workspaceDir,"," model,"," tools,"," customTools,"," sessionManager,"," settingsManager,"," authStorage,"," modelRegistry,"," session = createdSession.session;"," const basePrompt = session.systemPrompt;"," session.agent.setSystemPrompt(`${basePrompt}\\n\\n${finalInstructions}`);"," let doneResolve: (() => void) | undefined;"," const done = new Promise((resolve) => {"," doneResolve = resolve;"," // Wire events through progress processor with delta batching"," let pendingDelta = \"\";"," const DELTA_BATCH_INTERVAL_MS = 150;"," const flushDelta = async () => {"," if (pendingDelta) {"," const toSend = pendingDelta;"," pendingDelta = \"\";"," await onProgress({"," type: \"output\","," data: toSend,"," timestamp: Date.now(),"," if (deltaTimer) {"," clearTimeout(deltaTimer);"," deltaTimer = null;"," const scheduleDeltaFlush = () => {"," if (!deltaTimer) {"," deltaTimer = setTimeout(() => {"," flushDelta().catch((err) => {"," logger.error(\"Failed to flush delta:\", err);"," });"," }, DELTA_BATCH_INTERVAL_MS);"," session.subscribe((event) => {"," const hasUpdate = this.progressProcessor.processEvent(event);"," if (hasUpdate) {"," const delta = this.progressProcessor.getDelta();"," if (delta) {"," pendingDelta += delta;"," scheduleDeltaFlush();"," if (event.type === \"agent_end\") {"," flushDelta()"," .then(() => doneResolve?.())"," .catch((err) => {"," logger.error(\"Failed to flush final delta:\", err);"," doneResolve?.();"," let elapsedTime = 0;"," let lastHeartbeatTime = Date.now();"," const sendHeartbeat = async () => {"," const now = Date.now();"," elapsedTime += now - lastHeartbeatTime;"," lastHeartbeatTime = now;"," const seconds = Math.floor(elapsedTime / 1000);"," logger.warn("," `⏳ Still running after ${seconds}s - no response from API yet`"," await onProgress({"," type: \"status_update\","," data: {"," elapsedSeconds: seconds,"," state: \"is running..\","," timestamp: Date.now(),"," heartbeatTimer = setInterval(() => {"," sendHeartbeat().catch((err) => {"," logger.error(\"Failed to send heartbeat:\", err);"," }, HEARTBEAT_INTERVAL_MS);"," // Consume any pending config change notifications from SSE events"," const { consumePendingConfigNotifications } = await import("," \"../gateway/sse-client\""," const configNotifications = consumePendingConfigNotifications();"," let configNotice = \"\";"," if (configNotifications.length > 0) {"," const lines = configNotifications.map((n) => {"," let line = `- ${n.summary}`;"," if (n.details?.length) {"," line += `: ${n.details.join(\"; \")}`;"," return line;"," configNotice = `[System notice: Your configuration was updated since the last message]\\n${lines.join(\"\\n\")}\\n\\n`;"," const beforeAgentStartResults = await runPluginHooks({"," plugins: loadedPlugins,"," hook: \"before_agent_start\","," event: {"," prompt: userPrompt,"," messages: session.messages as unknown as Record[],"," ctx: pluginHookContext,"," const prependContexts = beforeAgentStartResults"," .flatMap((result) => {"," if (!result || typeof result !== \"object\") return [];"," const prepend = (result as Record).prependContext;"," if (typeof prepend !== \"string\" || !prepend.trim()) return [];"," return [prepend.trim()];"," const effectivePromptText = `${configNotice}${sessionSummary ? `${sessionSummary}\\n\\n` : \"\"}${prependContexts ? `${prependContexts}\\n\\n` : \"\"}${userPrompt}`;"," // Load image attachments for multi-modal prompt path"," const images = await this.loadImageAttachments();"," if (images.length > 0) {"," logger.info(`Including ${images.length} image(s) in prompt for vision`);"," await session.prompt(effectivePromptText, { images });"," if (images.length === 0) {"," throw error;"," \"Image prompt failed, retrying without images for non-vision model compatibility:\","," error"," await session.prompt(effectivePromptText);"," await done;"," const sessionError = this.progressProcessor.consumeFatalErrorMessage();"," if (sessionError) {"," await runPluginHooks({"," plugins: loadedPlugins,"," hook: \"agent_end\","," event: {"," success: false,"," error: sessionError,"," messages: session.messages as unknown as Record[],"," ctx: pluginHookContext,"," const errorWithHint = await this.maybeBuildAuthHintMessage("," sessionError,"," provider,"," modelId,"," gatewayUrl,"," workerToken"," success: false,"," exitCode: 1,"," output: \"\","," error: errorWithHint,"," await runPluginHooks({"," hook: \"agent_end\","," success: true,"," return {"," success: true,"," exitCode: 0,"," output: \"\","," sessionKey: this.config.sessionKey,"," const errorMsg = error instanceof Error ? error.message : String(error);"," if (session) {"," error: errorMsg,"," const errorWithHint = await this.maybeBuildAuthHintMessage("," errorMsg,"," provider,"," modelId,"," gatewayUrl,"," workerToken"," success: false,"," exitCode: 1,"," error: errorWithHint,"," } finally {"," if (heartbeatTimer) {"," clearInterval(heartbeatTimer);"," heartbeatTimer = null;"," logger.debug(\"Heartbeat timer cleared\");"," if (deltaTimer) {"," clearTimeout(deltaTimer);"," deltaTimer = null;"," logger.debug(\"Delta batch timer cleared\");"," session.dispose();"," session = null;"," await stopPluginServices(loadedPlugins);"," // Helpers"," private async setupIODirectories(): Promise {"," const workspaceDir = this.workspaceManager.getCurrentWorkingDirectory();"," const inputDir = path.join(workspaceDir, \"input\");"," const outputDir = path.join(workspaceDir, \"output\");"," const tempDir = path.join(workspaceDir, \"temp\");"," await fs.mkdir(inputDir, { recursive: true });"," await fs.mkdir(outputDir, { recursive: true });"," await fs.mkdir(tempDir, { recursive: true });"," const files = await fs.readdir(outputDir);"," for (const file of files) {"," await fs.unlink(path.join(outputDir, file)).catch(() => {"," /* intentionally empty */"," logger.debug(\"Could not clear output directory:\", error);"," logger.info(\"I/O directories setup completed\");"," private async downloadInputFiles(): Promise {"," const files = this.uploadedFiles;"," if (files.length === 0) {"," return;"," logger.info(`Downloading ${files.length} input files...`);"," const dispatcherUrl = process.env.DISPATCHER_URL!;"," const workerToken = process.env.WORKER_TOKEN!;"," for (const file of files) {"," logger.info(`Downloading file: ${file.name} (${file.id})`);"," const response = await fetch("," `${dispatcherUrl}/internal/files/download?fileId=${file.id}`,"," {"," headers: {"," Authorization: `Bearer ${workerToken}`,"," },"," signal: AbortSignal.timeout(60_000),"," if (!response.ok) {"," logger.error("," `Failed to download file ${file.name}: ${response.statusText}`"," continue;"," const destPath = path.join(inputDir, file.name);"," const fileStream = Readable.fromWeb(response.body as any);"," const writeStream = (await import(\"node:fs\")).createWriteStream("," destPath"," await pipeline(fileStream, writeStream);"," logger.info(`Downloaded: ${file.name} to input directory`);"," logger.error(`Error downloading file ${file.name}:`, error);"," private get uploadedFiles(): Array<{"," id: string;"," name: string;"," mimetype: string;"," }> {"," return (this.config as any).platformMetadata?.files || [];"," private static isImage(mimetype?: string): boolean {"," return !!mimetype?.startsWith(\"image/\");"," private getFileIOInstructions(): string {"," return `","## File Generation & Output","**When to Create Files:**","Create and show files for any output that helps answer the user's request by using \\`UploadUserFile\\` tool:","- **Charts & visualizations**: pie charts, bar graphs, plots, diagrams via \\`matplotlib\\`","- **Reports & documents**: analysis reports, summaries, PDFs","- **Data files**: CSV exports, JSON data, spreadsheets","- **Code files**: scripts, configurations, examples","- **Images**: generated images, processed photos, screenshots.","`;"," const fileListing = files"," .map("," (f) =>"," `- \\`${workspaceDir}/input/${f.name}\\` (${f.mimetype || \"unknown type\"})`"," )"," .join(\"\\n\");"," const hasImages = files.some((f) => OpenClawWorker.isImage(f.mimetype));"," const hasNonImages = files.some((f) => !OpenClawWorker.isImage(f.mimetype));"," let hints = \"\";"," if (hasImages) {"," hints +="," \"\\nImage files are included directly for visual analysis when the selected model supports vision and attachment size limits.\";"," if (hasNonImages) {"," \"\\nYou can read non-image files with standard commands like `cat`, `less`, or `head`.\";"," return `","### User-Uploaded Files","The user has uploaded ${files.length} file(s) for you to analyze:","${fileListing}","**Use these files to answer the user's request.**${hints}"," /** Max image size to embed in prompt (20 MB). Larger files are skipped. */"," private static readonly MAX_IMAGE_BYTES = 20 * 1024 * 1024;"," /** Max total embedded image bytes per prompt (30 MB). */"," private static readonly MAX_TOTAL_IMAGE_BYTES = 30 * 1024 * 1024;"," private async loadImageAttachments(): Promise {"," const imageFiles = this.uploadedFiles.filter((f) =>"," OpenClawWorker.isImage(f.mimetype)"," if (imageFiles.length === 0) return [];"," const inputDir = path.join("," this.workspaceManager.getCurrentWorkingDirectory(),"," \"input\""," const results: ImageContent[] = [];"," let totalEmbeddedBytes = 0;"," for (const file of imageFiles) {"," const filePath = path.join(inputDir, file.name);"," const stats = await fs.stat(filePath);"," if (stats.size > OpenClawWorker.MAX_IMAGE_BYTES) {"," logger.warn("," `Skipping image ${file.name}: ${Math.round(stats.size / 1024 / 1024)}MB exceeds per-file limit`"," if ("," totalEmbeddedBytes + stats.size > OpenClawWorker.MAX_TOTAL_IMAGE_BYTES"," ) {"," `Skipping image ${file.name}: total image budget would exceed ${Math.round(OpenClawWorker.MAX_TOTAL_IMAGE_BYTES / 1024 / 1024)}MB`"," const data = await fs.readFile(filePath);"," results.push({"," type: \"image\","," data: data.toString(\"base64\"),"," mimeType: file.mimetype,"," totalEmbeddedBytes += stats.size;"," `Loaded image: ${file.name} (${file.mimetype}, ${Math.round(stats.size / 1024)}KB)`"," logger.warn(`Failed to load image ${file.name}:`, error);"," return results;"," private async maybeBuildAuthHintMessage("," errorMessage: string,"," provider: string,"," modelId: string,"," gatewayUrl: string,"," workerToken: string"," ): Promise {"," const authHint = getProviderAuthHintFromError(errorMessage, provider);"," if (!authHint) {"," return errorMessage;"," const resp = await fetch(`${gatewayUrl}/internal/settings-link`, {"," method: \"POST\","," headers: {"," \"Content-Type\": \"application/json\","," Authorization: `Bearer ${workerToken}`,"," body: JSON.stringify({"," reason: `Connect your ${authHint.providerName} account to use ${modelId} models`,"," prefillEnvVars: [authHint.envVar],"," }),"," if (resp.ok) {"," const { url } = (await resp.json()) as { url: string };"," return `To use ${modelId}, you need to connect your ${authHint.providerName} account.\\n\\nOpen settings to add your API key: ${url}`;"," } catch (linkError) {"," logger.error("," \"Failed to generate settings link for missing API key\","," linkError"," return errorMessage;","}",[1909,1910,1911,1912,1913,1914,1915],{"_1119":45,"_45":1926},{"_1119":1917,"_157":512,"_1164":1924,"_1165":1925},{"_1119":45,"_45":1923},{"_1119":1917,"_157":512,"_1164":1921,"_1165":1922},{"_1119":45,"_45":1920},{"_1119":1917,"_157":512,"_1164":1918,"_1165":1919},{"_1119":45,"_45":1916},"\n\n**Testing**\n* ⚠️ `curl -I 'https://duckduckgo.com/?q=base64+size+overhead+multimodal+capability+gating' | head` (blocked by network proxy: HTTP 403 CONNECT tunnel failure)\n* ❌ `make dev` (failed: `docker` binary not available in this environment)\n* ✅ `make clean-workers` (completed; reports docker not found during cleanup path but exits successfully)\n* ❌ `./scripts/test-bot.sh \"@me test prompt\"` (failed: `TEST_PLATFORM` not configured)\n* ❌ `make build-packages` (failed due missing local TS/Bun test typing dependencies, e.g. `bun:test` / Node types)\n\nCommitted and opened a follow-up PR record via `make_pr` with title: **“Follow-up: guard multimodal image prompts and cap attachment size”**.","repo_file_citation",1021,1077,"\n* Hardened image loading with pre-read size checks and a total prompt image budget:\n * per-file check via `fs.stat` before `readFile`,\n * total embedded size cap across all images,\n * skip + warning behavior when limits are exceeded. ",988,999,"\n* Updated the user file hint text to clarify that direct image inclusion depends on model vision support and attachment size constraints. ",762,781,"### Summary\n* Added a safe fallback for multimodal prompting: the worker now first tries `session.prompt(..., { images })`, and if that fails with image attachments present (e.g., text-only model), it logs a warning and retries with a text-only prompt so requests don’t hard-fail. ",{"_91":313,"_41":83,"_95":313,"_1929":1930,"_1931":1932,"_1933":1934,"_131":-5,"_118":1935},[82],"input_items",[1952,1953,1954,1955,1956],"external_post_config",{"_1936":1937,"_252":187,"_1938":293,"_263":-5,"_1139":246,"_1939":-5,"_1940":1941,"_1942":1943,"_1944":-5,"_1945":-5,"_1946":1947,"_1948":15,"_1949":57,"_1950":52,"_1951":15},"user_model_slug","slug",1772653825.415662,"installation_id",111881574,"pr_number","review_trigger","comment_id",3999879523,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",335248779,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_91":463,"_95":313,"_459":1967},{"_300":301,"_302":303,"_1964":307,"_1965":128,"_309":-5,"_91":1966},{"_91":1957,"_302":1963,"_157":512,"_1959":1960,"_1961":-5},{"_91":1957,"_302":1962,"_157":-5,"_1959":-5,"_1961":-5},{"_91":1957,"_302":1958,"_157":512,"_1959":1960,"_1961":-5},"pull_request_comment","**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Bound image file size before base64 encoding**\n\nEach image is loaded fully into memory and then expanded to base64 with no per-file or total-size cap. Large uploads (or multiple medium images) can create very large in-memory payloads and oversized model requests, causing OOM/restarts or upstream request rejection. Add a size budget (and fallback behavior) before calling `readFile`/`toString(\"base64\")` to keep worker memory and prompt size bounded.\n\nUseful? React with 👍 / 👎.","side","RIGHT","line","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `0531ae8081`\n \n\n

ℹ️ About Codex in GitHub

","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Gate image prompts on model vision capability**\n\nThis branch sends a multimodal payload whenever any uploaded file is classified as an image, but there is no check that the selected `provider/model` can accept image content. In sessions using text-only models, `session.prompt(...)` will fail on these image blocks and the whole request errors out, whereas the previous behavior still allowed processing via local file tools. Please gate this path on model capabilities (or catch/retry with text-only prompt) so image uploads don’t hard-fail non-vision models.\n\nUseful? 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