Resolve conflicts in docs and TypeScript files after project rename
from Moltbot to OpenClaw. All GLM provider implementations updated to
use OpenClawConfig type and openclaw CLI command in documentation.
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Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
The previous documentation suggested API keys work on both general and
coding endpoints with just different billing. Research confirmed this
is misleading - keys are subscription-gated and will return error 1113
("Insufficient balance") when used on the wrong endpoint type.
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via [Happy](https://happy.engineering)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
Resolve conflicts with Xiaomi MiMo provider addition (#3454).
Both PRs added new providers to the same infrastructure files.
Conflicts resolved by including both sets of changes:
- docs/providers/index.md: Add Xiaomi link alongside GLM docs
- src/cli/program/register.onboard.ts: Add all CLI flags
- src/commands/auth-choice-options.ts: Add all auth choices and groups
- src/commands/auth-choice.apply.api-providers.ts: Add all handlers
- src/commands/onboard-auth.config-core.ts: Add all config imports
- src/commands/onboard-auth.credentials.ts: Add all credentials functions
- src/commands/onboard-auth.ts: Add all exports
- src/commands/onboard-non-interactive/local/auth-choice.ts: Add all handlers
- src/commands/onboard-types.ts: Add all types
- src/infra/provider-usage.shared.ts: Add all provider labels
- src/infra/provider-usage.types.ts: Add all provider IDs
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Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
Update provider documentation with:
- Four provider variants table (zai, zai-coding, zhipu, zhipu-coding)
- Region and plan type guidance
- CLI setup commands for all variants
- Environment variable fallback chains
- Config snippets for each variant
- Important notes on key interchangeability and billing
Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
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)
* feat: Add Ollama provider with automatic model discovery
- Add Ollama provider builder with automatic model detection
- Discover available models from local Ollama instance via /api/tags API
- Make resolveImplicitProviders async to support dynamic model discovery
- Add comprehensive Ollama documentation with setup and usage guide
- Add tests for Ollama provider integration
- Update provider index and model providers documentation
Closes#1531
* fix: Correct Ollama provider type definitions and error handling
- Fix input property type to match ModelDefinitionConfig
- Import ModelDefinitionConfig type properly
- Fix error template literal to use String() for type safety
- Simplify return type signature of discoverOllamaModels
* fix: Suppress unhandled promise warnings from ensureClawdbotModelsJson in tests
- Cast unused promise returns to 'unknown' to suppress TypeScript warnings
- Tests that don't await the promise are intentionally not awaiting it
- This fixes the failing test suite caused by unawaited async calls
* fix: Skip Ollama model discovery during tests
- Check for VITEST or NODE_ENV=test before making HTTP requests
- Prevents test timeouts and hangs from network calls
- Ollama discovery will still work in production/normal usage
* fix: Set VITEST environment variable in test setup
- Ensures Ollama discovery is skipped in all test runs
- Prevents network calls during tests that could cause timeouts
* test: Temporarily skip Ollama provider tests to diagnose CI failures
* fix: Make Ollama provider opt-in to avoid breaking existing tests
**Root Cause:**
The Ollama provider was being added to ALL configurations by default
(with a fallback API key of 'ollama-local'), which broke tests that
expected NO providers when no API keys were configured.
**Solution:**
- Removed the default fallback API key for Ollama
- Ollama provider now requires explicit configuration via:
- OLLAMA_API_KEY environment variable, OR
- Ollama profile in auth store
- Updated documentation to reflect the explicit configuration requirement
- Added a test to verify Ollama is not added by default
This fixes all 4 failing test suites:
- checks (node, test, pnpm test)
- checks (bun, test, bunx vitest run)
- checks-windows (node, test, pnpm test)
- checks-macos (test, pnpm test)
Closes#1531
Add Mattermost as a supported messaging channel with bot API and WebSocket integration. Includes channel state tracking (tint, summary, details), multi-account support, and delivery target routing. Update documentation and tests to include Mattermost alongside existing channels.