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ragflow/rag/advanced_rag/harness/tools/gating.py
Kevin Hu 3da2425158 Feat: Add dataset_navigate to agentic searhc (#17052)
### Summary

Add dataset_navigate tool to agentic search

---------

Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
2026-07-20 09:59:33 +08:00

128 lines
4.4 KiB
Python

"""Tool selection gating: phase-based filtering and fallback chain."""
from rag.advanced_rag.harness.types import OrchestratorContext
from rag.advanced_rag.harness.tools.registry import TOOL_REGISTRY
# Search phase definitions
SEARCH_PHASES = {
"locate": {
"goal": "Locate documents or regions that may contain the answer.",
"tools_priority": [
"dataset_navigate",
"catalog_navigate",
"mindmap_navigate",
"wiki_query",
"hybrid_search",
"bm25_search",
],
"max_returned": 5,
"tool_hint": "Prefer navigation tools to locate document regions before directly searching keywords.",
},
"explore": {
"goal": "Explore deeply within the already located region.",
"tools_priority": [
"hybrid_search",
"bm25_search",
"graph_explore",
"inspector_open_context",
"inspector_request_adjacent",
],
"max_returned": 4,
"tool_hint": "Prefer retrieval tools to gather detailed information within the located region.",
},
"verify": {
"goal": "Verify consistency across multiple sources.",
"tools_priority": [
"inspector_open_context",
"inspector_compare",
"inspector_grep_within",
"hybrid_search",
"web_search",
],
"max_returned": 4,
"tool_hint": "Prefer inspector tools to compare existing evidence before searching for new content.",
},
"cross_domain": {
"goal": "Explore cross-domain relationships for discovered entities.",
"tools_priority": [
"graph_explore",
"wiki_query",
"hybrid_search",
"web_search",
],
"max_returned": 3,
"tool_hint": "Prefer walking the graph to discover cross-domain relationships.",
},
}
def compilation_available(tool_name: str, compilation_map: dict) -> bool:
"""Check if any KB provides the required compilation artifact."""
tool = TOOL_REGISTRY.get(tool_name)
if not tool or not tool.get("requires_compilation"):
return True
comp_type = tool["compilation_type"]
if not compilation_map:
return False
comp_types = set(comp_type) if isinstance(comp_type, (list, tuple, set)) else {comp_type}
return any(bool(comp_types & set(comps)) for comps in compilation_map.values())
def tool_fits_context(tool_name: str, context: OrchestratorContext) -> bool:
"""Check if a tool is sensible given current search context."""
if tool_name.startswith("inspector_") and not context.has_any_chunks():
return False
if tool_name == "catalog_navigate" and not context.current_claim:
return False
if tool_name == "dataset_navigate" and not context.current_claim:
return False
if tool_name == "graph_explore" and not context.last_entity:
return False
if tool_name == "mindmap_navigate" and not context.current_claim:
return False
return True
def get_gated_tools(
phase: str,
available_tools: list[str],
compilation_map: dict[str, set[str]],
context: OrchestratorContext,
) -> list[dict]:
"""Filter, sort, and gate tools by phase priority and context."""
phase_config = SEARCH_PHASES.get(phase)
if not phase_config:
return _default_defs(available_tools)
sorted_tools = []
for tool_name in phase_config["tools_priority"]:
if tool_name not in available_tools:
continue
if not compilation_available(tool_name, compilation_map):
continue
if not tool_fits_context(tool_name, context):
continue
sorted_tools.append(tool_name)
selected = sorted_tools[: phase_config["max_returned"]]
defs = [TOOL_REGISTRY[n]["function_schema"] for n in selected if n in TOOL_REGISTRY]
for d in defs:
d["x_phase"] = phase
d["x_phase_hint"] = phase_config["tool_hint"]
return defs
def _default_defs(tool_names: list[str]) -> list[dict]:
return [TOOL_REGISTRY[n]["function_schema"] for n in tool_names if n in TOOL_REGISTRY]
def determine_current_phase(context: OrchestratorContext) -> str:
"""Determine the current search phase based on context."""
if not context.has_any_chunks():
return "locate"
if context.verdict and context.verdict.has_conflicts:
return "verify"
return "explore"