mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-09-22 04:26:18 +00:00
ccff5f5ce7
* docs: govern agent guidance size * refactor: split agent guidance by code scope * Clarify virtual path handling in AGENTS.md Updated the translation section to clarify the role of `LocalSandboxProvider` and the handling of virtual paths in the tool layer. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
32 lines
2.8 KiB
Markdown
32 lines
2.8 KiB
Markdown
### Agent System
|
|
|
|
**Lead Agent** (`packages/harness/deerflow/agents/lead_agent/agent.py`):
|
|
- Entry point: `make_lead_agent(config: RunnableConfig)` registered in `langgraph.json`
|
|
- Dynamic model selection via `create_chat_model()` with thinking/vision support
|
|
- Tools loaded via `get_available_tools()` - combines sandbox, built-in, MCP, community, and subagent tools
|
|
- System prompt generated by `apply_prompt_template()` with skills, memory, and subagent instructions
|
|
|
|
**ThreadState** (`packages/harness/deerflow/agents/thread_state.py`):
|
|
- Extends `AgentState` with: `sandbox`, `thread_data`, `title`, `artifacts`, `todos`, `uploaded_files`, `viewed_images`, `goal`, `promoted`, `delegations`, `skill_context`, `summary_text`
|
|
- Uses custom reducers: `merge_artifacts` (deduplicate), `merge_viewed_images` (merge/clear), `merge_goal` (preserve the active goal across ordinary state updates unless the goal writer replaces it), `merge_promoted` (catalog-hash-scoped deferred tool promotions), `merge_delegations` (append task delegation entries, same id latest wins, terminal status never downgraded, capped to the most recent entries), and `merge_skill_context` (dedupe active-skill references by path, keep the most recently read entries; entries store a name/path/description reference, not the SKILL.md body). `summary_text` is a LastValue channel updated by summarization and projected into model requests as durable context data instead of being stored as a `messages` item.
|
|
- Delta-mode `merge_message_writes` normalizes the current message state once,
|
|
then folds normalized writes in order with message-ID position indexes and
|
|
deferred tombstone compaction. It preserves public `add_messages` behavior,
|
|
including duplicate IDs, replacement position, removal errors,
|
|
`REMOVE_ALL_MESSAGES`, null-write errors, and missing-ID allocation order,
|
|
without rescanning the accumulated state for every write. Keep this
|
|
full-parity contract covered by differential tests: LangGraph's private
|
|
`_messages_delta_reducer` is also linear, but intentionally omits some of
|
|
those public `add_messages` semantics and cannot be substituted directly.
|
|
|
|
**Runtime Configuration** (via `config.configurable`):
|
|
- `thinking_enabled` - Enable model's extended thinking
|
|
- `model_name` - Select specific LLM model
|
|
- `is_plan_mode` - Enable TodoList middleware
|
|
- `subagent_enabled` - Enable task delegation tool
|
|
- `max_concurrent_subagents` - Per-response `task` call concurrency limit (clamped by `SubagentLimitMiddleware`)
|
|
- `max_total_subagents` - Optional per-run total delegation cap override (falls back to `subagents.max_total_per_run`, clamped to 1-50)
|
|
Gateway and `DeerFlowClient.stream()` always provide the runtime `run_id`; custom
|
|
graph integrations must do the same. If it is absent, enforcement deliberately
|
|
counts the thread's full delegation ledger (fail-restrictive) and emits a warning.
|