# Sidecar Architecture The sidecar is the bridge between Agent Orchestrator's Rust backend and AI provider APIs. Because the Claude Agent SDK, OpenAI Codex SDK, and Ollama API are JavaScript/TypeScript libraries, they cannot run inside Rust or WebKit2GTK's webview. Instead, the Rust backend spawns child processes (sidecars) that handle AI interactions and communicate back via stdio NDJSON. --- ## Overview ``` Rust Backend (SidecarManager) │ ├── Spawns child process (Deno preferred, Node.js fallback) ├── Writes QueryMessage to stdin (NDJSON) ├── Reads response lines from stdout (NDJSON) ├── Emits Tauri events for each message └── Manages lifecycle (start, stop, crash recovery) │ ▼ Sidecar Process (one of): ├── claude-runner.mjs → @anthropic-ai/claude-agent-sdk ├── codex-runner.mjs → @openai/codex-sdk └── ollama-runner.mjs → native fetch to localhost:11434 ``` --- ## Provider Runners Each provider has its own runner file in `v2/sidecar/`, compiled to a standalone ESM bundle in `v2/sidecar/dist/` by esbuild. The runners are self-contained — all dependencies (including SDKs) are bundled into the `.mjs` file. ### Claude Runner (`claude-runner.ts` → `claude-runner.mjs`) The primary runner. Uses `@anthropic-ai/claude-agent-sdk` query() function. **Startup sequence:** 1. Reads NDJSON messages from stdin in a loop 2. On `query` message: resolves Claude CLI path via `findClaudeCli()` 3. Calls SDK `query()` with options: prompt, cwd, permissionMode, model, settingSources, systemPrompt, additionalDirectories, worktreeName, pathToClaudeCodeExecutable 4. Streams SDK messages as NDJSON to stdout 5. On `stop` message: calls AbortController.abort() **Claude CLI detection (`findClaudeCli()`):** Checks paths in order: `~/.local/bin/claude` → `~/.claude/local/claude` → `/usr/local/bin/claude` → `/usr/bin/claude` → `which claude`. If none found, emits `agent_error` immediately. The path is resolved once at sidecar startup and reused for all sessions. **Session resume:** Passes `resume: sessionId` to the SDK when a resume session ID is provided. The SDK handles transcript loading internally. **Multi-account support:** When `claudeConfigDir` is provided (from profile selection), it is set as `CLAUDE_CONFIG_DIR` in the SDK's env option. This points the Claude CLI at a different configuration directory. **Worktree isolation:** When `worktreeName` is provided, it is passed as `extraArgs: { worktree: name }` to the SDK, which translates to `--worktree ` on the CLI. ### Codex Runner (`codex-runner.ts` → `codex-runner.mjs`) Uses `@openai/codex-sdk` via dynamic import (graceful failure if not installed). **Key differences from Claude:** - Authentication via `CODEX_API_KEY` environment variable - Sandbox mode mapping: `bypassPermissions` → `full-auto`, `default` → `suggest` - Session resume via thread ID (Codex's equivalent of session continuity) - No profile/skill support - ThreadEvent format differs from Claude's stream-json (parsed by `codex-messages.ts`) ### Ollama Runner (`ollama-runner.ts` → `ollama-runner.mjs`) Direct HTTP to Ollama's REST API — zero external dependencies. **Key differences:** - No SDK — uses native `fetch()` to `http://localhost:11434/api/chat` - Health check on startup (`GET /api/tags`) - NDJSON streaming response from Ollama's `/api/chat` endpoint - Supports Qwen3's `` tags for reasoning display - Configurable: host, model, num_ctx, temperature - Cost is always $0 (local inference) - No subagent support, no profiles, no skills --- ## Communication Protocol ### Messages from Rust to Sidecar (stdin) ```typescript // Query — start a new agent session { "type": "query", "session_id": "uuid", "prompt": "Fix the bug in auth.ts", "cwd": "/home/user/project", "provider": "claude", "model": "claude-sonnet-4-6", "permission_mode": "bypassPermissions", "resume_session_id": "previous-uuid", // optional "system_prompt": "You are an architect...", // optional "claude_config_dir": "~/.config/switcher-claude/work/", // optional "setting_sources": ["user", "project"], // optional "additional_directories": ["/shared/lib"], // optional "worktree_name": "session-123", // optional "provider_config": { ... }, // provider-specific blob "extra_env": { "BTMSG_AGENT_ID": "manager-1" } // optional } // Stop — abort a running session { "type": "stop", "session_id": "uuid" } ``` ### Messages from Sidecar to Rust (stdout) The sidecar writes one JSON object per line (NDJSON). The format depends on the provider, but all messages include a `sessionId` field added by the Rust SidecarManager before forwarding as Tauri events. **Claude messages** follow the same format as the Claude CLI's `--output-format stream-json`: ```typescript // System init (carries session ID, model info) { "type": "system", "subtype": "init", "session_id": "...", "model": "..." } // Assistant text { "type": "assistant", "message": { "content": [{ "type": "text", "text": "..." }] } } // Tool use { "type": "assistant", "message": { "content": [{ "type": "tool_use", "name": "Read", "input": {...} }] } } // Tool result { "type": "user", "message": { "content": [{ "type": "tool_result", "content": "..." }] } } // Final result { "type": "result", "subtype": "success", "cost_usd": 0.05, "duration_ms": 12000, ... } // Error { "type": "agent_error", "error": "Claude CLI not found" } ``` --- ## Environment Variable Stripping When Agent Orchestrator is launched from within a Claude Code terminal session, the parent process sets `CLAUDE*` environment variables for nesting detection and sandbox configuration. If these leak to the sidecar, Claude's SDK detects nesting and either errors or behaves unexpectedly. The solution is **dual-layer stripping**: 1. **Rust layer (primary):** `SidecarManager` calls `env_clear()` on the child process command, then explicitly sets only the variables needed (`PATH`, `HOME`, `USER`, etc.). This prevents any parent environment from leaking. 2. **JavaScript layer (defense-in-depth):** Each runner also strips provider-specific variables via `strip_provider_env_var()`: - Claude: strips all `CLAUDE*` keys (whitelists `CLAUDE_CODE_EXPERIMENTAL_*`) - Codex: strips all `CODEX*` keys - Ollama: strips all `OLLAMA*` keys (except `OLLAMA_HOST`) The `extra_env` field in AgentQueryOptions allows injecting specific variables (like `BTMSG_AGENT_ID` for Tier 1 agents) after stripping. --- ## Sidecar Lifecycle ### Startup The SidecarManager is initialized during Tauri app setup. It does not spawn any sidecar processes at startup — processes are spawned on-demand when the first agent query arrives. ### Runtime Resolution When a query arrives, `resolve_sidecar_for_provider(provider)` finds the appropriate runner: 1. Looks for `{provider}-runner.mjs` in the sidecar dist directory 2. Checks for Deno first (`deno` or `~/.deno/bin/deno`), then Node.js 3. Returns a `SidecarCommand` struct with the runtime binary and script path 4. If neither runtime is found, returns an error Deno is preferred because it has faster cold-start time (~50ms vs ~150ms for Node.js) and can compile to a single binary for distribution. ### Crash Recovery (SidecarSupervisor) The `SidecarSupervisor` in `bterminal-core/src/supervisor.rs` provides automatic crash recovery: - Monitors the sidecar child process for unexpected exits - On crash: waits with exponential backoff (1s → 2s → 4s → 8s → 16s → 30s cap) - Maximum 5 restart attempts before giving up - Reports health via `SidecarHealth` enum: `Healthy`, `Restarting { attempt, next_retry }`, `Failed { attempts, last_error }` - 17 unit tests covering all recovery scenarios ### Shutdown On app exit, `SidecarManager` sends stop messages to all active sessions and kills remaining child processes. The `Drop` implementation ensures cleanup even on panic. --- ## Build Pipeline ```bash # Build all 3 runner bundles cd v2 && npm run build:sidecar # Internally runs esbuild 3 times: # sidecar/claude-runner.ts → sidecar/dist/claude-runner.mjs # sidecar/codex-runner.ts → sidecar/dist/codex-runner.mjs # sidecar/ollama-runner.ts → sidecar/dist/ollama-runner.mjs ``` Each bundle is a standalone ESM file with all dependencies included. The Claude runner bundles `@anthropic-ai/claude-agent-sdk` directly — no `node_modules` needed at runtime. The Codex runner uses dynamic import for `@openai/codex-sdk` (graceful failure if not installed). The Ollama runner has zero external dependencies. The built `.mjs` files are included as Tauri resources in `tauri.conf.json` and copied to the app bundle during `tauri build`. --- ## Message Adapter Layer On the frontend, raw sidecar messages pass through a provider-specific adapter before reaching the agent store: ``` Sidecar stdout → Rust SidecarManager → Tauri event → agent-dispatcher.ts → message-adapters.ts (registry) → claude-messages.ts / codex-messages.ts / ollama-messages.ts → AgentMessage[] (common type) → agents.svelte.ts store ``` The `AgentMessage` type is provider-agnostic: ```typescript interface AgentMessage { id: string; type: 'text' | 'tool_call' | 'tool_result' | 'thinking' | 'init' | 'status' | 'cost' | 'error' | 'hook'; parentId?: string; // for subagent tracking content: unknown; // type-specific payload timestamp: number; } ``` This means the agent store and AgentPane rendering code never need to know which provider generated a message. The adapter layer is the only code that understands provider-specific formats. ### Test Coverage - `claude-messages.test.ts` — 25 tests covering all Claude message types - `codex-messages.test.ts` — 19 tests covering all Codex ThreadEvent types - `ollama-messages.test.ts` — 11 tests covering all Ollama chunk types