feat: runtime API, task manager, and extensive improvements (v0.3.16)

Major Features:
- Runtime API for external integrations and turn management
- Task manager with persistence and recovery
- Shell output streaming and improved tool execution
- Error taxonomy and audit logging
- Command palette and UI enhancements

Documentation:
- Runtime API documentation
- Operations runbook
- Architecture updates

Fixes:
- Auto-compaction threshold and triggering logic
- Doctor command API key validation
- Clippy and formatting compliance
This commit is contained in:
Hunter Bown
2026-02-16 10:51:39 -06:00
parent fa3905041d
commit ab2c708ca7
57 changed files with 12030 additions and 836 deletions
+52 -1
View File
@@ -35,6 +35,15 @@ This document provides an overview of the DeepSeek CLI architecture for develope
│ │ │
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────┐
│ Runtime API + Task Management │
│ ┌─────────────────────────────┐ ┌──────────────────────────┐ │
│ │ HTTP/SSE Runtime API │ │ Persistent Task Manager │ │
│ │ (runtime_api.rs) │ │ (task_manager.rs) │ │
│ └─────────────────────────────┘ └──────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
│ │
▼ ▼
┌─────────────────────────────────────────────────────────────────┐
│ LLM Layer │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ LLM Client Abstraction (llm_client.rs) │ │
@@ -125,6 +134,9 @@ Responses API (with automatic fallback if needed).
- **`prompts.rs`** - System prompt templates
- **`project_doc.rs`** - Project documentation handling
- **`session.rs`** - Session serialization
- **`runtime_api.rs`** - HTTP/SSE runtime API (`deepseek serve --http`)
- **`runtime_threads.rs`** - Durable thread/turn/item store + replayable event timeline
- **`task_manager.rs`** - Durable queue, worker pool, task timelines and artifacts
## Data Flow
@@ -139,6 +151,14 @@ Responses API (with automatic fallback if needed).
7. Results aggregated and sent back to LLM
8. Final response rendered in TUI
### Crash Recovery + Offline Queue
1. Before sending user input, the TUI writes a checkpoint snapshot to `~/.deepseek/sessions/checkpoints/latest.json`
2. If the process crashes mid-turn, startup restores that checkpoint automatically (unless explicit `--resume` is used)
3. While degraded/offline, new prompts are queued in-memory and mirrored to `~/.deepseek/sessions/checkpoints/offline_queue.json`
4. Queue edits (`/queue ...`) are persisted continuously so drafts and queued prompts survive restarts
5. Successful turn completion clears the active checkpoint and writes a durable session snapshot
### Tool Execution
1. LLM requests tool via `tool_use` content block
@@ -149,6 +169,31 @@ Responses API (with automatic fallback if needed).
6. Post-execution hooks run
7. Result returned to agent loop
### Background Tasks
1. Client enqueues task (`/task add ...` or `POST /v1/tasks`)
2. `task_manager.rs` persists task + queue entry under `~/.deepseek/tasks`
3. Worker picks queued task (bounded pool), transitions to `running`
4. Task creates/uses a runtime thread and starts a runtime turn
5. `runtime_threads.rs` persists thread/turn/item records + monotonic event sequence
6. Timeline/tool summaries/artifact references are persisted incrementally
7. Final state (`completed|failed|canceled`) is durable and queryable via TUI/API
### Runtime Thread/Turn Timeline
1. API/TUI creates or resumes a thread (`/v1/threads*`)
2. Turn starts on the thread (`/v1/threads/{id}/turns`)
3. Engine events are mapped to item lifecycle events (`item.started|item.delta|item.completed`)
4. Interrupt/steer operations apply to the active turn only
5. Compaction (auto/manual) is emitted as `context_compaction` item lifecycle
6. Clients replay history and resume with `/v1/threads/{id}/events?since_seq=<n>`
### Durable Schema Gates
- `session_manager.rs`, `runtime_threads.rs`, and `task_manager.rs` embed `schema_version` on persisted records.
- On load, newer schema versions are rejected with explicit errors instead of silently truncating/overwriting data.
- This allows safe forward migrations and prevents corruption when binaries and stored state are out of sync.
## Extension Points
### Adding a New Tool
@@ -182,14 +227,20 @@ command = "echo 'Running tool: $TOOL_NAME'"
## Key Design Decisions
1. **Streaming-first**: All LLM responses stream for responsiveness
2. **Tool safety**: Non-yolo mode requires approval for destructive operations
2. **Tool safety**: Non-yolo mode requires approval for destructive operations, including side-effectful MCP tools
3. **Extensibility**: MCP, skills, and hooks allow customization without code changes
4. **Cross-platform**: Core works on Linux/macOS/Windows, sandboxing macOS-only
5. **Minimal dependencies**: Careful dependency selection for build speed
6. **Local-first runtime API**: HTTP/SSE endpoints are intended for trusted localhost access
## Configuration Files
- `~/.deepseek/config.toml` - Main configuration
- `/etc/deepseek/managed_config.toml` - Optional managed defaults layer (Unix)
- `/etc/deepseek/requirements.toml` - Optional allowed-policy constraints (Unix)
- `~/.deepseek/mcp.json` - MCP server configuration
- `~/.deepseek/skills/` - User skills directory
- `~/.deepseek/sessions/` - Session history
- `~/.deepseek/sessions/checkpoints/` - Crash checkpoint + offline queue persistence
- `~/.deepseek/tasks/` - Background task records, queue, timelines, artifacts
- `~/.deepseek/audit.log` - Append-only audit events for credential + approval/elevation actions