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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Mmgr7LpeM8pkQmpJCtPwrL","type":"tool_result","content":"[{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n[plugins] telegram failed to load from /app/extensions/telegram/index.ts: Error: Cannot find module '../../src/plugin-sdk/telegram.js'\\nRequire stack:\\n- /app/extensions/telegram/runtime-api.ts\\n\\n### Steps to reproduce\\n\\n1. Install/update OpenClaw to version 2026.3.14\\n2. Enable Telegram plugin in config\\n3. Configure Telegram channel with bot token\\n4. Restart Gateway\\n5. Observe plugin load errors in logs\\n\\n### Expected behavior\\n\\nTelegram plugin should load successfully and allow:\\n- Sending messages to configured channels/groups\\n- Receiving messages from paired users and allowed groups\\n- Processing commands and mentions\\n\\n### Actual behavior\\n\\nPlugin fails to load with module resolution error. The error suggests the plugin is trying to import from '../../src/plugin-sdk/telegram.js' which doesn't exist.\\n\\n### OpenClaw version\\n\\n2026.3.14\\n\\n### Operating system\\n\\nDebian 13\\n\\n### Install method\\n\\nDocker container via official image\\n\\n### Model\\n\\nqwen3.5-plus\\n\\n### Provider / routing chain\\n\\nOpenClaw Gateway → ModelStudio API (DashScope) → qwen3.5-plus\\n\\n### Additional provider/model setup details\\n\\n<img width=\\\"1918\\\" height=\\\"1102\\\" alt=\\\"Image\\\" src=\\\"https://github.com/user-attachments/assets/cbc45e99-5f9c-4dab-9f31-69612566cbd3\\\" />\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:44:33Z\",\"number\":51815,\"title\":\"[Bug]: Telegram plugin fails to load\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n\\n### Summary\\nOn macOS, after updating to OpenClaw 2026.3.13, `openclaw update` and `openclaw doctor` now fail whenever `channels.telegram.botToken` is stored via a file-based SecretRef (`file:filemain:/channels/telegram/botToken`). The gateway itself works, but the stricter post-update doctor can’t resolve the SecretRef outside the live gateway runtime, so Control UI + CLI runs all error out.\\n\\n### Environment\\n- macOS (local install)\\n- OpenClaw 2026.3.13 (61d171a)\\n- Telegram bot token stored in `~/.openclaw/secrets.json` via:\\n```json\\n\\\"channels\\\": {\\n\\\"telegram\\\": {\\n\\\"botToken\\\": {\\n\\\"source\\\": \\\"file\\\",\\n\\\"provider\\\": \\\"filemain\\\",\\n\\\"id\\\": \\\"/channels/telegram/botToken\\\"\\n}\\n}\\n}\\n\\nActual Behavior\\n\\nDoctor/update abort with the unresolved SecretRef error. Control UI “Update” button also fails at the doctor stage and reports the same error.\\n\\nWorkaround\\n\\nWrap maintenance commands in a helper script that temporarily inlines the Telegram token, runs the command, then restores the SecretRef:\\n~/.openclaw/scripts/openclaw_safe.sh update\\n~/.openclaw/scripts/openclaw_safe.sh doctor\\nInside the script we read the token from ~/.openclaw/secrets.json, set it inline in openclaw.json, run openclaw …, then write the SecretRef back. It works but defeats the purpose of keeping secrets file-only.\\n\\nRequest\\n\\nPlease add support for file-based SecretRefs in the doctor/update flows (or skip that check) so installations that keep their Telegram token in secrets.json can run maintenance without exposing the token.\\n\\n### Steps to reproduce\\n\\nSteps to Reproduce\\n\\n1. Configure Telegram bot token as a file-based SecretRef (provider filemain, path ~/.openclaw/secrets.json).\\n2. Run openclaw update (or openclaw doctor) from CLI or Control UI.\\n3. Post-update doctor step fails with:\\nchannels.telegram.botToken: unresolved SecretRef \\\"file:filemain:/channels/telegram/botToken\\\".\\nResolve this command against an active gateway runtime snapshot before reading it.\\n\\n\\n### Expected behavior\\n\\nExpected Behavior\\n\\nDoctor/update should succeed (resolving file-based secrets the same way the gateway does), so we don’t have to inline the Telegram token.\\n\\n\\n### Actual behavior\\n\\nActual Behavior\\n\\nDoctor/update abort with the unresolved SecretRef error. Control UI “Update” button also fails at the doctor stage and reports the same error.\\n\\n### OpenClaw version\\n\\n2026.3.13\\n\\n### Operating system\\n\\nmacOS 26.3 (build 25D125)\\n\\n### Install method\\n\\n_No response_\\n\\n### Model\\n\\nModel stack is the default OpenClaw agent setup: primary openai-codex/gpt-5.2 with fallbacks openai/gpt-5.1-codex and anthropic/claude-sonnet-4-6\\n\\n### Provider / routing chain\\n\\npenclaw update/doctor runs via the OpenClaw CLI → local gateway service on this Mac (127.0.0.1:18789). No external proxy/model router is involved for this step—the failure happens before any provider call (it’s the post-update doctor reading config/secrets)\\n\\n### Additional provider/model setup details\\n\\n• Telegram bot token is stored via secrets.providers.filemain pointing at ~/.openclaw/secrets.json with mode: json. channels.telegram.botToken references it via { \\\"source\\\": \\\"file\\\", \\\"provider\\\": \\\"filemain\\\", \\\"id\\\": \\\"/channels/telegram/botToken\\\" }.\\n• Secrets defaults still prefer the file provider; we intentionally do not inline the token or place it in ~/.openclaw/.env for security.\\n• Gateway runs locally as a LaunchAgent (~/Library/LaunchAgents/ai.openclaw.gateway.plist, port 18789).\\n• The issue reproduces whether commands are launched from Control UI or directly via openclaw update/openclaw doctor in Terminal.\\n• Workaround script temporarily writes the token inline before invoking the command, then restores the SecretRef afterward. Without that inline swap, the doctor refuses to run.\\n\\nNo additional providers or per-agent overrides are involved.\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:32:21Z\",\"number\":51810,\"title\":\"[Bug]: Doctor/update fails when Telegram bot token uses file-based SecretRef (2026.3 regression)\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n## Bug Description\\n\\nWhen selecting a non-Anthropic model from the model dropdown in the dashboard, \\nthe gateway receives the wrong provider prefix (anthropic/) instead of the \\ncorrect one.\\n\\n## Environment\\n- OpenClaw version: 2026.3.13 (61d171a)\\n- OS: macOS (Apple Silicon, M4 Mac mini)\\n- Install method: npm (sudo npm install -g openclaw)\\n\\n## Steps to Reproduce\\n1. Configure both Anthropic and Google (Gemini) models in openclaw.json\\n2. Open the dashboard (openclaw dashboard)\\n3. Click the model dropdown\\n4. Select google/gemini-2.5-flash\\n\\n## Expected Behavior\\nGateway receives: google/gemini-2.5-flash\\n\\n## Actual Behavior\\nGateway receives: anthropic/gemini-2.5-flash\\n\\n## Error Message\\nFailed to set model: GatewayRequestError: model not allowed: anthropic/gemini-2.5-flash\\n\\n## Additional Notes\\n- Same issue occurs with lmstudio/qwen3.5-4b-mlx → becomes anthropic/qwen3.5-4b-mlx\\n- The config file (openclaw.json) is correct with proper prefixes\\n- The models work correctly when called directly via API\\n- The bug appears to be in the dashboard UI which hardcodes anthropic/ prefix \\n  regardless of the selected model's actual provider\\n\\n### Steps to reproduce\\n\\n1. Configure both Anthropic and Google (Gemini) models in openclaw.json\\n2. Open the dashboard (openclaw dashboard)\\n3. Click the model dropdown\\n4. Select google/gemini-2.5-flash\\n\\n### Expected behavior\\n\\nGateway receives: google/gemini-2.5-flash\\n\\n### Actual behavior\\n\\nGateway receives: anthropic/gemini-2.5-flash\\n\\n### OpenClaw version\\n\\n2026.3.13 (61d171a)\\n\\n### Operating system\\n\\nmacOS (Apple Silicon, M4 Mac mini)\\n\\n### Install method\\n\\nnpm (sudo npm install -g openclaw)\\n\\n### Model\\n\\ngoogle/gemini-2.5-flash\\n\\n### Provider / routing chain\\n\\nOpenClaw dashboard UI → OpenClaw gateway (local, port 18789) → Google Generative AI API\\n\\n### Additional provider/model setup details\\n\\nGoogle Gemini configured in openclaw.json under models.providers.google with api: \\\"google-generative-ai\\\". \\nAlso reproduced with lmstudio/qwen3.5-4b-mlx (local LM Studio model).\\nDashboard sends anthropic/ prefix for all non-Anthropic models.\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:30:21Z\",\"number\":51809,\"title\":\"[Bug]: Dashboard model picker sends anthropic/ prefix for non-Anthropic models\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n[openclaw_bug_report.pdf](https://github.com/user-attachments/files/26160531/openclaw_bug_report.pdf)\\n\\n### Steps to reproduce\\n\\nSpawn Subagent for answer for 9x9 (any questions) \\n\\n### Expected behavior\\n\\nrefer the report \\n\\n### Actual behavior\\n\\nrefer the report\\n\\n### OpenClaw version\\n\\nVersion v2026.3.13\\n\\n### Operating system\\n\\nAWS EC2 Ubuntu/Window 11 \\n\\n### Install method\\n\\n_No response_\\n\\n### Model\\n\\ngemini-2.5-pro\\n\\n### Provider / routing chain\\n\\nN/A\\n\\n### Additional provider/model setup details\\n\\n_No response_\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T17:25:26Z\",\"number\":51780,\"title\":\"[Bug]: UI Running Indicator Stuck After Subagent Completion on Remote Server OpenClaw Gateway • Subagent Sessions • WebSocket Lifecycle Events Product\"},{\"body\":\"### Bug type\\n\\nBehavior bug (incorrect output/state without crash)\\n\\n### Summary\\n\\nTwo distinct bugs in the Google provider adapter both result in failed API calls when using Google (Gemini) models via the OpenAI-compatible endpoint. They can occur independently but are often experienced together.\\n\\nBug 1 — \\\"stream\\\": true sent to an endpoint that doesn't support streaming\\nOpenClaw sends \\\"stream\\\": true by default in all completions requests. Google's OpenAI-compatible endpoint (/v1beta/openai/chat/completions) does not support streaming and returns a 400 Bad Request when this flag is present.\\nReproduction:\\n\\nConfigure a Google/Gemini model via the OpenAI-compatible baseUrl (https://generativelanguage.googleapis.com/v1beta/openai/)\\nSend any chat completion request with default settings\\nObserve 400 error — the request never completes\\n\\nWorkaround (required to use Google models at all):\\njson\\\"models\\\": {\\n  \\\"google/gemini-2.5-pro\\\": {\\n    \\\"params\\\": { \\\"streaming\\\": false }\\n  }\\n}\\nThis shouldn't be required. Either the Google adapter should suppress stream: true automatically, or there should be a provider-level supportsStreaming: false flag that sets this as the default for all models under that provider — so users don't have to add it per-model.\\nSuggested fix:\\nIn the Google adapter, either:\\n\\nHard-code streaming: false on all requests (Google's native SDK supports streaming, but the OpenAI-compatible shim does not)\\nAdd a provider-level capability flag supportsStreaming that adapters can set to false, which suppresses the stream flag without requiring per-model config\\n\\n\\nBug 2 — Empty \\\"required\\\": [] arrays in tool schemas rejected by Google's validator\\nWhen tools/functions are passed to Google's endpoint, OpenClaw includes \\\"required\\\": [] (empty array) in the JSON schema for parameters that have no required fields. Google's schema validator rejects this — required must be omitted entirely when empty, not set to an empty array. This is consistent with the JSON Schema spec, which treats an absent required and required: [] differently at the validator level.\\nReproduction:\\n\\nConfigure a Google/Gemini model\\nCall it with any tool that has optional-only parameters (i.e., no required fields)\\nObserve 400 error from Google's schema validator\\n\\nSuggested fix:\\nIn the tool schema serialization step, strip required from the output when it would be an empty array:\\ntypescriptif (schema.required && schema.required.length === 0) {\\n  delete schema.required;\\n}\\n\\n------------------------------------------------------------------\\nRelated: #51743 (Google usageMetadata not mapped — also in the Google adapter)\\n\\nNote: Both bugs are isolated to the Google adapter's request serialization layer. Neither requires logic changes — Bug 1 is a capability flag, Bug 2 is a one-line schema cleanup. A single PR could address both alongside #51743.\\n\\n------------------------------------------------------------------\\n2026.3.13 Ubuntu 24.04 npm global\\nopenclaw -> google (generativelanguage.googleapis.com/v1beta/openai/)\\n\\n------------------------------------------------------------------\\n**Steps to reproduce**\\n\\n1. Add a Google provider to openclaw.json with baseUrl:\\n   https://generativelanguage.googleapis.com/v1beta/openai/\\n\\n2. Configure a Gemini model (e.g. gemini-2.5-pro) without any\\n   params override.\\n\\n3. Send any chat message to that model via Telegram or API.\\n\\n4. (For Bug 2 only) Attach any tool/function that has optional-only\\n   parameters (no required fields).\\n\\n------------------------------------------------------------------\\n**Expected result**\\n\\nChat completion succeeds. Token usage is recorded. Tool calls\\nresolve without schema validation errors.\\n\\n------------------------------------------------------------------\\n**Actual result**\\n\\nBug 1 — Streaming: Request returns HTTP 400. Google's OpenAI-\\ncompatible endpoint does not support \\\"stream\\\": true, which OpenClaw\\nsends by default. Workaround: add params: { streaming: false } to\\nevery Google model in config.\\n\\nBug 2 — Empty required[]: Request returns HTTP 400 when tools are\\npresent. Google's schema validator rejects \\\"required\\\": [] — the\\nfield must be omitted entirely when no fields are required.\\n------------------------------------------------------------------\",\"createdAt\":\"2026-03-21T17:13:36Z\",\"number\":51774,\"title\":\"[Bug]: Google provider adapter: streaming flag causes 400 + empty required arrays rejected by schema validator\"}]","is_error":false}]},"parent_tool_use_id":null,"session_id":"6d876a42-fc91-4ee2-b3e7-667c3aa01661","uuid":"5aaa4072-73cf-4c42-8d24-cf72f1509089","timestamp":"2026-03-21T18:53:09.237Z","tool_use_result":{"stdout":"[{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n[plugins] telegram failed to load from /app/extensions/telegram/index.ts: Error: Cannot find module '../../src/plugin-sdk/telegram.js'\\nRequire stack:\\n- /app/extensions/telegram/runtime-api.ts\\n\\n### Steps to reproduce\\n\\n1. Install/update OpenClaw to version 2026.3.14\\n2. Enable Telegram plugin in config\\n3. Configure Telegram channel with bot token\\n4. Restart Gateway\\n5. Observe plugin load errors in logs\\n\\n### Expected behavior\\n\\nTelegram plugin should load successfully and allow:\\n- Sending messages to configured channels/groups\\n- Receiving messages from paired users and allowed groups\\n- Processing commands and mentions\\n\\n### Actual behavior\\n\\nPlugin fails to load with module resolution error. The error suggests the plugin is trying to import from '../../src/plugin-sdk/telegram.js' which doesn't exist.\\n\\n### OpenClaw version\\n\\n2026.3.14\\n\\n### Operating system\\n\\nDebian 13\\n\\n### Install method\\n\\nDocker container via official image\\n\\n### Model\\n\\nqwen3.5-plus\\n\\n### Provider / routing chain\\n\\nOpenClaw Gateway → ModelStudio API (DashScope) → qwen3.5-plus\\n\\n### Additional provider/model setup details\\n\\n<img width=\\\"1918\\\" height=\\\"1102\\\" alt=\\\"Image\\\" src=\\\"https://github.com/user-attachments/assets/cbc45e99-5f9c-4dab-9f31-69612566cbd3\\\" />\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:44:33Z\",\"number\":51815,\"title\":\"[Bug]: Telegram plugin fails to load\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n\\n### Summary\\nOn macOS, after updating to OpenClaw 2026.3.13, `openclaw update` and `openclaw doctor` now fail whenever `channels.telegram.botToken` is stored via a file-based SecretRef (`file:filemain:/channels/telegram/botToken`). The gateway itself works, but the stricter post-update doctor can’t resolve the SecretRef outside the live gateway runtime, so Control UI + CLI runs all error out.\\n\\n### Environment\\n- macOS (local install)\\n- OpenClaw 2026.3.13 (61d171a)\\n- Telegram bot token stored in `~/.openclaw/secrets.json` via:\\n```json\\n\\\"channels\\\": {\\n\\\"telegram\\\": {\\n\\\"botToken\\\": {\\n\\\"source\\\": \\\"file\\\",\\n\\\"provider\\\": \\\"filemain\\\",\\n\\\"id\\\": \\\"/channels/telegram/botToken\\\"\\n}\\n}\\n}\\n\\nActual Behavior\\n\\nDoctor/update abort with the unresolved SecretRef error. Control UI “Update” button also fails at the doctor stage and reports the same error.\\n\\nWorkaround\\n\\nWrap maintenance commands in a helper script that temporarily inlines the Telegram token, runs the command, then restores the SecretRef:\\n~/.openclaw/scripts/openclaw_safe.sh update\\n~/.openclaw/scripts/openclaw_safe.sh doctor\\nInside the script we read the token from ~/.openclaw/secrets.json, set it inline in openclaw.json, run openclaw …, then write the SecretRef back. It works but defeats the purpose of keeping secrets file-only.\\n\\nRequest\\n\\nPlease add support for file-based SecretRefs in the doctor/update flows (or skip that check) so installations that keep their Telegram token in secrets.json can run maintenance without exposing the token.\\n\\n### Steps to reproduce\\n\\nSteps to Reproduce\\n\\n1. Configure Telegram bot token as a file-based SecretRef (provider filemain, path ~/.openclaw/secrets.json).\\n2. Run openclaw update (or openclaw doctor) from CLI or Control UI.\\n3. Post-update doctor step fails with:\\nchannels.telegram.botToken: unresolved SecretRef \\\"file:filemain:/channels/telegram/botToken\\\".\\nResolve this command against an active gateway runtime snapshot before reading it.\\n\\n\\n### Expected behavior\\n\\nExpected Behavior\\n\\nDoctor/update should succeed (resolving file-based secrets the same way the gateway does), so we don’t have to inline the Telegram token.\\n\\n\\n### Actual behavior\\n\\nActual Behavior\\n\\nDoctor/update abort with the unresolved SecretRef error. Control UI “Update” button also fails at the doctor stage and reports the same error.\\n\\n### OpenClaw version\\n\\n2026.3.13\\n\\n### Operating system\\n\\nmacOS 26.3 (build 25D125)\\n\\n### Install method\\n\\n_No response_\\n\\n### Model\\n\\nModel stack is the default OpenClaw agent setup: primary openai-codex/gpt-5.2 with fallbacks openai/gpt-5.1-codex and anthropic/claude-sonnet-4-6\\n\\n### Provider / routing chain\\n\\npenclaw update/doctor runs via the OpenClaw CLI → local gateway service on this Mac (127.0.0.1:18789). No external proxy/model router is involved for this step—the failure happens before any provider call (it’s the post-update doctor reading config/secrets)\\n\\n### Additional provider/model setup details\\n\\n• Telegram bot token is stored via secrets.providers.filemain pointing at ~/.openclaw/secrets.json with mode: json. channels.telegram.botToken references it via { \\\"source\\\": \\\"file\\\", \\\"provider\\\": \\\"filemain\\\", \\\"id\\\": \\\"/channels/telegram/botToken\\\" }.\\n• Secrets defaults still prefer the file provider; we intentionally do not inline the token or place it in ~/.openclaw/.env for security.\\n• Gateway runs locally as a LaunchAgent (~/Library/LaunchAgents/ai.openclaw.gateway.plist, port 18789).\\n• The issue reproduces whether commands are launched from Control UI or directly via openclaw update/openclaw doctor in Terminal.\\n• Workaround script temporarily writes the token inline before invoking the command, then restores the SecretRef afterward. Without that inline swap, the doctor refuses to run.\\n\\nNo additional providers or per-agent overrides are involved.\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:32:21Z\",\"number\":51810,\"title\":\"[Bug]: Doctor/update fails when Telegram bot token uses file-based SecretRef (2026.3 regression)\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n## Bug Description\\n\\nWhen selecting a non-Anthropic model from the model dropdown in the dashboard, \\nthe gateway receives the wrong provider prefix (anthropic/) instead of the \\ncorrect one.\\n\\n## Environment\\n- OpenClaw version: 2026.3.13 (61d171a)\\n- OS: macOS (Apple Silicon, M4 Mac mini)\\n- Install method: npm (sudo npm install -g openclaw)\\n\\n## Steps to Reproduce\\n1. Configure both Anthropic and Google (Gemini) models in openclaw.json\\n2. Open the dashboard (openclaw dashboard)\\n3. Click the model dropdown\\n4. Select google/gemini-2.5-flash\\n\\n## Expected Behavior\\nGateway receives: google/gemini-2.5-flash\\n\\n## Actual Behavior\\nGateway receives: anthropic/gemini-2.5-flash\\n\\n## Error Message\\nFailed to set model: GatewayRequestError: model not allowed: anthropic/gemini-2.5-flash\\n\\n## Additional Notes\\n- Same issue occurs with lmstudio/qwen3.5-4b-mlx → becomes anthropic/qwen3.5-4b-mlx\\n- The config file (openclaw.json) is correct with proper prefixes\\n- The models work correctly when called directly via API\\n- The bug appears to be in the dashboard UI which hardcodes anthropic/ prefix \\n  regardless of the selected model's actual provider\\n\\n### Steps to reproduce\\n\\n1. Configure both Anthropic and Google (Gemini) models in openclaw.json\\n2. Open the dashboard (openclaw dashboard)\\n3. Click the model dropdown\\n4. Select google/gemini-2.5-flash\\n\\n### Expected behavior\\n\\nGateway receives: google/gemini-2.5-flash\\n\\n### Actual behavior\\n\\nGateway receives: anthropic/gemini-2.5-flash\\n\\n### OpenClaw version\\n\\n2026.3.13 (61d171a)\\n\\n### Operating system\\n\\nmacOS (Apple Silicon, M4 Mac mini)\\n\\n### Install method\\n\\nnpm (sudo npm install -g openclaw)\\n\\n### Model\\n\\ngoogle/gemini-2.5-flash\\n\\n### Provider / routing chain\\n\\nOpenClaw dashboard UI → OpenClaw gateway (local, port 18789) → Google Generative AI API\\n\\n### Additional provider/model setup details\\n\\nGoogle Gemini configured in openclaw.json under models.providers.google with api: \\\"google-generative-ai\\\". \\nAlso reproduced with lmstudio/qwen3.5-4b-mlx (local LM Studio model).\\nDashboard sends anthropic/ prefix for all non-Anthropic models.\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T18:30:21Z\",\"number\":51809,\"title\":\"[Bug]: Dashboard model picker sends anthropic/ prefix for non-Anthropic models\"},{\"body\":\"### Bug type\\n\\nRegression (worked before, now fails)\\n\\n### Summary\\n\\n[openclaw_bug_report.pdf](https://github.com/user-attachments/files/26160531/openclaw_bug_report.pdf)\\n\\n### Steps to reproduce\\n\\nSpawn Subagent for answer for 9x9 (any questions) \\n\\n### Expected behavior\\n\\nrefer the report \\n\\n### Actual behavior\\n\\nrefer the report\\n\\n### OpenClaw version\\n\\nVersion v2026.3.13\\n\\n### Operating system\\n\\nAWS EC2 Ubuntu/Window 11 \\n\\n### Install method\\n\\n_No response_\\n\\n### Model\\n\\ngemini-2.5-pro\\n\\n### Provider / routing chain\\n\\nN/A\\n\\n### Additional provider/model setup details\\n\\n_No response_\\n\\n### Logs, screenshots, and evidence\\n\\n```shell\\n\\n```\\n\\n### Impact and severity\\n\\n_No response_\\n\\n### Additional information\\n\\n_No response_\",\"createdAt\":\"2026-03-21T17:25:26Z\",\"number\":51780,\"title\":\"[Bug]: UI Running Indicator Stuck After Subagent Completion on Remote Server OpenClaw Gateway • Subagent Sessions • WebSocket Lifecycle Events Product\"},{\"body\":\"### Bug type\\n\\nBehavior bug (incorrect output/state without crash)\\n\\n### Summary\\n\\nTwo distinct bugs in the Google provider adapter both result in failed API calls when using Google (Gemini) models via the OpenAI-compatible endpoint. They can occur independently but are often experienced together.\\n\\nBug 1 — \\\"stream\\\": true sent to an endpoint that doesn't support streaming\\nOpenClaw sends \\\"stream\\\": true by default in all completions requests. Google's OpenAI-compatible endpoint (/v1beta/openai/chat/completions) does not support streaming and returns a 400 Bad Request when this flag is present.\\nReproduction:\\n\\nConfigure a Google/Gemini model via the OpenAI-compatible baseUrl (https://generativelanguage.googleapis.com/v1beta/openai/)\\nSend any chat completion request with default settings\\nObserve 400 error — the request never completes\\n\\nWorkaround (required to use Google models at all):\\njson\\\"models\\\": {\\n  \\\"google/gemini-2.5-pro\\\": {\\n    \\\"params\\\": { \\\"streaming\\\": false }\\n  }\\n}\\nThis shouldn't be required. Either the Google adapter should suppress stream: true automatically, or there should be a provider-level supportsStreaming: false flag that sets this as the default for all models under that provider — so users don't have to add it per-model.\\nSuggested fix:\\nIn the Google adapter, either:\\n\\nHard-code streaming: false on all requests (Google's native SDK supports streaming, but the OpenAI-compatible shim does not)\\nAdd a provider-level capability flag supportsStreaming that adapters can set to false, which suppresses the stream flag without requiring per-model config\\n\\n\\nBug 2 — Empty \\\"required\\\": [] arrays in tool schemas rejected by Google's validator\\nWhen tools/functions are passed to Google's endpoint, OpenClaw includes \\\"required\\\": [] (empty array) in the JSON schema for parameters that have no required fields. Google's schema validator rejects this — required must be omitted entirely when empty, not set to an empty array. This is consistent with the JSON Schema spec, which treats an absent required and required: [] differently at the validator level.\\nReproduction:\\n\\nConfigure a Google/Gemini model\\nCall it with any tool that has optional-only parameters (i.e., no required fields)\\nObserve 400 error from Google's schema validator\\n\\nSuggested fix:\\nIn the tool schema serialization step, strip required from the output when it would be an empty array:\\ntypescriptif (schema.required && schema.required.length === 0) {\\n  delete schema.required;\\n}\\n\\n------------------------------------------------------------------\\nRelated: #51743 (Google usageMetadata not mapped — also in the Google adapter)\\n\\nNote: Both bugs are isolated to the Google adapter's request serialization layer. Neither requires logic changes — Bug 1 is a capability flag, Bug 2 is a one-line schema cleanup. A single PR could address both alongside #51743.\\n\\n------------------------------------------------------------------\\n2026.3.13 Ubuntu 24.04 npm global\\nopenclaw -> google (generativelanguage.googleapis.com/v1beta/openai/)\\n\\n------------------------------------------------------------------\\n**Steps to reproduce**\\n\\n1. Add a Google provider to openclaw.json with baseUrl:\\n   https://generativelanguage.googleapis.com/v1beta/openai/\\n\\n2. Configure a Gemini model (e.g. gemini-2.5-pro) without any\\n   params override.\\n\\n3. Send any chat message to that model via Telegram or API.\\n\\n4. (For Bug 2 only) Attach any tool/function that has optional-only\\n   parameters (no required fields).\\n\\n------------------------------------------------------------------\\n**Expected result**\\n\\nChat completion succeeds. Token usage is recorded. Tool calls\\nresolve without schema validation errors.\\n\\n------------------------------------------------------------------\\n**Actual result**\\n\\nBug 1 — Streaming: Request returns HTTP 400. Google's OpenAI-\\ncompatible endpoint does not support \\\"stream\\\": true, which OpenClaw\\nsends by default. Workaround: add params: { streaming: false } to\\nevery Google model in config.\\n\\nBug 2 — Empty required[]: Request returns HTTP 400 when tools are\\npresent. Google's schema validator rejects \\\"required\\\": [] — the\\nfield must be omitted entirely when no fields are required.\\n------------------------------------------------------------------\",\"createdAt\":\"2026-03-21T17:13:36Z\",\"number\":51774,\"title\":\"[Bug]: Google provider adapter: streaming flag causes 400 + empty required arrays rejected by schema validator\"}]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01PBZgaCU7Lfj5MJnHYYtBDR","type":"message","role":"assistant","content":[{"type":"text","text":"**Most recent open bug issue:** [#51815 — \"[Bug]: Telegram plugin fails to load\"](https://github.com/openclaw/openclaw/issues/51815)\n\n**Summary:** After updating to version 2026.3.14, the Telegram plugin fails with a module resolution error:\n> `Cannot find module '../../src/plugin-sdk/telegram.js'`\n\nThis is a regression introduced in the 2026.3.14 release.\n\n**Fix in progress?** No. There are no open PRs that reference issue #51815 in their title or body. No fix appears to be in progress yet."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":189,"cache_read_input_tokens":20387,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":189},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"6d876a42-fc91-4ee2-b3e7-667c3aa01661","uuid":"ffc60b0b-8457-432b-a1f7-d388794606bc"}
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