- Guard fake channel with GOCHAT_ENV check: skip init() registration,
bootstrap wiring, and inbox creation in production
- Reject empty-token webhooks in production (was silently skipped)
- Use PostgreSQL jsonb @> query for inbox lookup, keep SQLite fallback
- Replace isValidURL string-prefix hack with net/url.Parse
- Handle typing.start/typing.stop by returning nil (no garbage messages)
- Narrow Capabilities to only implemented features (Attachments, Replies)
- Hide fake channel from frontend channel list in production builds
- anthropic_provider.go (new): AnthropicProvider implementing the Provider
interface using Claude's messages API. Handles:
- System prompt as top-level param (not in messages array)
- Content blocks response format → extract text
- SSE streaming with Anthropic event types (content_block_delta, message_stop)
- Anthropic-specific headers (x-api-key, anthropic-version)
- Retry with exponential backoff (shared logic with OpenAI provider)
- Embedding API returns error (Anthropic has no embeddings; OpenAI-compat
provider should be used for embeddings)
- NewProviderFromConfig factory function: selects AnthropicProvider for
provider="anthropic"/"claude", OpenAIProvider for all others
- bootstrap.go: use NewProviderFromConfig instead of hardcoded NewOpenAIProvider,
allowing config.captain.llm_provider to switch between providers
Note: domestic providers (Volcengine/Doubao/Qwen) use OpenAI-compatible API
and work with the existing OpenAIProvider by setting llm_base_url.
Verified: go build + go vet + go test all pass
- llm/provider.go: extend ChatMessage with ToolCalls, ToolCallID, Name
fields; add ToolCall + ToolCallFunction structs for parsing LLM
function call responses
- tool_execution_service.go (new): ToolExecutionService that converts
CaptainCustomTool → LLM ToolDefinition, executes HTTP tool calls
(GET/POST/PUT with bearer/basic/api-key auth), and runs the full
tool_call loop (LLM → tool_call → execute → result → LLM → final
answer) with maxIterations safeguard
- captain_conversation_service.go: add toolExecSvc field +
SetToolExecutionService method; use RunToolCallLoop in
generateConversationResponse when tools are available, with graceful
fallback to plain LLM call on error
- bootstrap.go: instantiate ToolExecutionService and inject into
CaptainConversationService
Verified: go build + go vet + go test all pass
rogee