Add a bundled Arcee AI provider plugin with ARCEEAI_API_KEY onboarding,
Trinity model catalog (mini, large-preview, large-thinking), and
OpenAI-compatible API support.
- Trinity Large Thinking: 256K context, reasoning enabled
- Trinity Large Preview: 128K context, general-purpose
- Trinity Mini 26B: 128K context, fast and cost-efficient
* Remove Qwen OAuth integration (qwen-portal-auth)
Qwen OAuth via portal.qwen.ai is being deprecated by the Qwen team due
to traffic impact on their primary Qwen Code user base. Users should
migrate to the officially supported Model Studio (Alibaba Cloud Coding
Plan) provider instead.
Ref: https://github.com/openclaw/openclaw/issues/49557
- Delete extensions/qwen-portal-auth/ plugin entirely
- Remove qwen-portal from onboarding auth choices, provider aliases,
auto-enable list, bundled plugin defaults, and pricing cache
- Remove Qwen CLI credential sync (external-cli-sync, cli-credentials)
- Remove QWEN_OAUTH_MARKER from model auth markers
- Update docs/providers/qwen.md to redirect to Model Studio
- Update model-providers docs (EN + zh-CN) to remove Qwen OAuth section
- Regenerate config and plugin-sdk baselines
- Update all affected tests
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
* Clean up residual qwen-portal references after OAuth removal
* Add migration hint for deprecated qwen-portal OAuth provider
* fix: finish qwen oauth removal follow-up
---------
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
Co-authored-by: Frank Yang <frank.ekn@gmail.com>
* Docs: rename modelstudio.md to qwen_modelstudio.md, add Standard API endpoints
* refine docs
* Docs: fix broken link in providers/index.md after modelstudio rename
* Docs: add redirect from /providers/modelstudio to /providers/qwen_modelstudio
* Docs: adjust the order in index.md
* docs: rename modelstudio to qwen_modelstudio, add Standard API endpoints (#54407) (thanks @wenmengzhou)
---------
Co-authored-by: George Zhang <georgezhangtj97@gmail.com>
- Sort providers alphabetically in docs.json nav
- Sort channels alphabetically in docs.json nav (slack before synology-chat)
- Add install/migrating-matrix to Maintenance nav section (was orphaned)
- Remove zh-CN/plugins/architecture from nav (file does not exist)
- Add Voice Call to channels index page
- Add missing providers to providers index (DeepSeek, GitHub Copilot, OpenCode Go, Synthetic)
- Sort providers index alphabetically
- Update stale claude-3-5-sonnet model reference to claude-sonnet-4-6 in webhook docs
Redirects:
- /cron now goes directly to /automation/cron-jobs (was chaining via /cron-jobs)
- /model and /model/ now go directly to /concepts/models (was chaining via /models)
Duplicate titles disambiguated (6 of 7 - Logging is orphaned):
- Health Checks (macOS), Skills (macOS), Voice Wake (macOS), WebChat (macOS)
- General Troubleshooting (help/ vs gateway/)
- Provider Directory (providers/index vs concepts/model-providers)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* initial commit
* removes assesment from docs
* resolves automated review comments
* resolves lint , type , tests , refactors , and submits
* solves : why do we have to lint the tests xD
* adds greptile fixes
* solves a type error
* solves a ci error
* refactors auths
* solves a failing test after i pulled from main lol
* solves a failing test after i pulled from main lol
* resolves token naming issue to comply with better practices when using hf / huggingface
* fixes curly lints !
* fixes failing tests for google api from main
* solve merge conflicts
* solve failing tests with a defensive check 'undefined' openrouterapi key
* fix: preserve Hugging Face auth-choice intent and token behavior (#13472) (thanks @Josephrp)
* test: resolve auth-choice cherry-pick conflict cleanup (#13472)
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
* feat: add LiteLLM provider types, env var, credentials, and auth choice
Add litellm-api-key auth choice, LITELLM_API_KEY env var mapping,
setLitellmApiKey() credential storage, and LITELLM_DEFAULT_MODEL_REF.
* feat: add LiteLLM onboarding handler and provider config
Add applyLitellmProviderConfig which properly registers
models.providers.litellm with baseUrl, api type, and model definitions.
This fixes the critical bug from PR #6488 where the provider entry was
never created, causing model resolution to fail at runtime.
* docs: add LiteLLM provider documentation
Add setup guide covering onboarding, manual config, virtual keys,
model routing, and usage tracking. Link from provider index.
* docs: add LiteLLM to sidebar navigation in docs.json
Add providers/litellm to both English and Chinese provider page lists
so the docs page appears in the sidebar navigation.
* test: add LiteLLM non-interactive onboarding test
Wire up litellmApiKey flag inference and auth-choice handler for the
non-interactive onboarding path, and add an integration test covering
profile, model default, and credential storage.
* fix: register --litellm-api-key CLI flag and add preferred provider mapping
Wire up the missing Commander CLI option, action handler mapping, and
help text for --litellm-api-key. Add litellm-api-key to the preferred
provider map for consistency with other providers.
* fix: remove zh-CN sidebar entry for litellm (no localized page yet)
* style: format buildLitellmModelDefinition return type
* fix(onboarding): harden LiteLLM provider setup (#12823)
* refactor(onboarding): keep auth-choice provider dispatcher under size limit
---------
Co-authored-by: Peter Steinberger <steipete@gmail.com>
Venice AI is a privacy-focused AI inference provider with support for
uncensored models and access to major proprietary models via their
anonymized proxy.
This integration adds:
- Complete model catalog with 25 models:
- 15 private models (Llama, Qwen, DeepSeek, Venice Uncensored, etc.)
- 10 anonymized models (Claude, GPT-5.2, Gemini, Grok, Kimi, MiniMax)
- Auto-discovery from Venice API with fallback to static catalog
- VENICE_API_KEY environment variable support
- Interactive onboarding via 'venice-api-key' auth choice
- Model selection prompt showing all available Venice models
- Provider auto-registration when API key is detected
- Comprehensive documentation covering:
- Privacy modes (private vs anonymized)
- All 25 models with context windows and features
- Streaming, function calling, and vision support
- Model selection recommendations
Privacy modes:
- Private: Fully private, no logging (open-source models)
- Anonymized: Proxied through Venice (proprietary models)
Default model: venice/llama-3.3-70b (good balance of capability + privacy)
Venice API: https://api.venice.ai/api/v1 (OpenAI-compatible)
