from __future__ import annotations
from typing import Any, Literal
import chunk_your_tools._native as _native
from chunk_your_tools._native import PolicyContext
from chunk_your_tools.build import CatalogIndex
__all__ = ["PolicyContext", "ToolKind", "apply_tool_kind", "scoring_policy_context"]
SystemToolPolicy = Literal[
"always_include",
"prune_optional",
"prune_all",
"prune_optional_descriptions",
"prune_all_descriptions",
]
MCPToolPolicy = Literal[
"always_include",
"prune_optional",
"prune_all",
"prune_optional_descriptions",
"prune_all_descriptions",
]
ToolPolicy = Literal[
"always_include",
"prune_optional",
"prune_all",
"prune_optional_descriptions",
"prune_all_descriptions",
]
ToolKind = Literal["system", "mcp"]
def apply_tool_kind(ctx: PolicyContext, kind: ToolKind) -> PolicyContext:
ctx.tool_kind = kind
return ctx
def scoring_policy_context(ctx: PolicyContext) -> PolicyContext:
scoring = PolicyContext(
scoring_policy(ctx.system_policy),
scoring_policy(ctx.mcp_policy),
)
scoring.per_tool = {
tool_id: scoring_policy(policy) for tool_id, policy in ctx.per_tool.items()
}
if ctx.tool_kind is not None:
scoring.tool_kind = ctx.tool_kind
return scoring
def tool_policies() -> tuple[str, ...]:
return tuple(_native.tool_policies())
CatalogDict = dict[str, Any]
PinnedCatalog = dict[str, Any]
def policy_context_from_values(config: dict[str, Any]) -> PolicyContext:
return _native.policy_context_from_values(config)
def effective_policy(tool_id: str, ctx: PolicyContext) -> ToolPolicy:
return _native.effective_policy(ctx, tool_id)
def tool_pass_through(tool_id: str, ctx: PolicyContext) -> bool:
return _native.tool_pass_through(ctx, tool_id)
def batch_tool_pass_through(tool_ids: list[str], ctx: PolicyContext) -> list[bool]:
return list(_native.batch_tool_pass_through(ctx, tool_ids))
def root_tool_id_from_chunk(item: dict[str, Any]) -> str:
return _native.root_tool_id_from_chunk(item)
def request_pass_through(tools: list[dict[str, Any]], ctx: PolicyContext) -> bool:
return _native.request_pass_through(ctx, tools)
def is_non_system_tool_id(tool_id: str) -> bool:
return _native.is_non_system_tool_id(tool_id)
def is_system_tool_id(tool_id: str) -> bool:
return _native.is_system_tool_id(tool_id)
def chunk_tool_id(item: dict[str, Any]) -> str:
return _native.chunk_tool_id(item)
def is_non_system_chunk(item: dict[str, Any]) -> bool:
return _native.is_non_system_chunk(item)
def is_system_chunk(item: dict[str, Any]) -> bool:
return _native.is_system_chunk(item)
def is_decomposed_tool_root_chunk(item: dict[str, Any]) -> bool:
return _native.is_decomposed_tool_root_chunk(item)
def is_decomposed_optional_property_chunk(item: dict[str, Any]) -> bool:
return _native.is_decomposed_optional_property_chunk(item)
def is_system_root_chunk(item: dict[str, Any]) -> bool:
return _native.is_system_root_chunk(item)
def is_mcp_root_chunk(item: dict[str, Any]) -> bool:
return _native.is_mcp_root_chunk(item)
def is_system_optional_chunk(item: dict[str, Any]) -> bool:
return _native.is_system_optional_chunk(item)
def is_mcp_optional_chunk(item: dict[str, Any]) -> bool:
return _native.is_mcp_optional_chunk(item)
def classify_optional_chunks_batch(
items: list[dict[str, Any]],
) -> tuple[list[bool], list[bool]]:
result = _native.classify_optional_chunks_batch(items)
system = result.get("system", [])
mcp = result.get("mcp", [])
return [bool(x) for x in system], [bool(x) for x in mcp]
def needs_partition(ctx: PolicyContext) -> bool:
return _native.needs_partition(ctx)
def needs_pruned_recompose(ctx: PolicyContext) -> bool:
return _native.needs_pruned_recompose(ctx)
def system_tools_pass_through(ctx: PolicyContext) -> bool:
return _native.system_tools_pass_through(ctx)
def mcp_tools_pass_through(ctx: PolicyContext) -> bool:
return _native.mcp_tools_pass_through(ctx)
def full_pass_through(ctx: PolicyContext) -> bool:
return _native.full_pass_through(ctx)
def catalog_needs_partition(data: CatalogDict, ctx: PolicyContext) -> bool:
return _native.catalog_needs_partition(data, ctx)
def catalog_needs_pruned_recompose(data: CatalogDict, ctx: PolicyContext) -> bool:
return _native.catalog_needs_pruned_recompose(data, ctx)
def partition_catalog(
data: CatalogDict,
ctx: PolicyContext,
) -> tuple[CatalogDict, PinnedCatalog]:
proc, pinned = _native.partition_catalog(data, ctx)
return proc, pinned
def merge_catalog(processed: CatalogDict, pinned: PinnedCatalog) -> CatalogDict:
return _native.merge_catalog(processed, pinned)
def stash_system_tools(tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
return list(_native.stash_system_tools(tools))
def restore_system_tools(stash: list[dict[str, Any]]) -> list[dict[str, Any]]:
return list(_native.restore_system_tools(stash))
def stash_mcp_tools(tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
return list(_native.stash_mcp_tools(tools))
def restore_mcp_tools(stash: list[dict[str, Any]]) -> list[dict[str, Any]]:
return list(_native.restore_mcp_tools(stash))
def merge_tools_preserving_order(
original: list[dict[str, Any]],
pruned_by_name: dict[str, dict[str, Any]],
stashed_by_name: dict[str, dict[str, Any]],
) -> list[dict[str, Any]]:
return list(
_native.merge_tools_preserving_order(original, pruned_by_name, stashed_by_name),
)
def anthropic_tool_is_system(tool: dict[str, Any]) -> bool:
return _native.anthropic_tool_is_system(tool)
def anthropic_tool_is_mcp(tool: dict[str, Any]) -> bool:
return _native.anthropic_tool_is_mcp(tool)
def split_anthropic_tools(
tools: list[dict[str, Any]],
) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
non_system, system = _native.split_anthropic_tools(tools)
return list(non_system), list(system)
def entries_for_policy(
all_entries: list[dict[str, Any]],
ctx: PolicyContext,
) -> list[dict[str, Any]]:
return list(_native.entries_for_policy(ctx, all_entries))
def tools_for_catalog(
tools: list[dict[str, Any]],
ctx: PolicyContext,
) -> list[dict[str, Any]]:
return list(_native.tools_for_catalog(ctx, tools))
def system_required_enum_values(data: CatalogDict) -> frozenset[str]:
return frozenset(_native.system_required_enum_values(data))
def mcp_required_enum_values(data: CatalogDict) -> frozenset[str]:
return frozenset(_native.mcp_required_enum_values(data))
def required_enum_values_by_tool(data: CatalogDict) -> dict[str, frozenset[str]]:
raw = _native.required_enum_values_by_tool(data)
return {str(k): frozenset(str(x) for x in v) for k, v in raw.items()}
def optional_leaf_survived_rerank(
item: dict[str, Any],
*,
ctx: PolicyContext,
rerank_score: float | None = None,
llm_selected_paths: set[str] | None = None,
) -> bool:
return _native.optional_leaf_survived_rerank(
item,
ctx,
rerank_score,
llm_selected_paths,
)
def filter_recompose_json_entries(
json_list: list[dict[str, Any]],
*,
ctx: PolicyContext,
rerank_score: float | None = None,
llm_selected_paths: set[str] | None = None,
) -> list[dict[str, Any]]:
return list(
_native.filter_recompose_json_entries(
json_list,
ctx,
rerank_score,
llm_selected_paths,
),
)
def mitigate_empty_optional_properties(
entries: list[dict[str, Any]],
*,
ctx: PolicyContext,
catalog_index: CatalogIndex,
post_rerank_scored: dict[str, Any] | None,
pipeline: list[str],
) -> list[dict[str, Any]]:
return list(
_native.mitigate_empty_optional_properties(
entries,
catalog_index,
ctx,
post_rerank_scored,
pipeline,
),
)
def append_description_reinstate_entries(
entries: list[dict[str, Any]],
*,
build_catalog: dict[str, Any],
catalog_index: CatalogIndex,
ctx: PolicyContext,
) -> list[dict[str, Any]]:
return list(
_native.append_description_reinstate_entries(
entries,
build_catalog,
catalog_index,
ctx,
),
)
def needs_description_reinstate(ctx: PolicyContext) -> bool:
return _native.needs_description_reinstate(ctx)
def is_description_policy(policy: str) -> bool:
return _native.is_description_policy(policy)
def scoring_policy(policy: str) -> ToolPolicy:
return _native.scoring_policy(policy)
def direct_root_optional_chunks_for_tool(
items: list[dict[str, Any]],
tool_id: str,
) -> list[dict[str, Any]]:
return list(_native.direct_root_optional_chunks_for_tool(items, tool_id))
def root_chunk_properties_empty(item: dict[str, Any]) -> bool:
return _native.root_chunk_properties_empty(item)
def tool_id_has_empty_decomposed_root(
catalog_index: CatalogIndex,
tool_id: str,
) -> bool:
return _native.tool_id_has_empty_decomposed_root(catalog_index, tool_id)
def tool_id_had_empty_original_root_properties(
catalog_index: CatalogIndex,
tool_id: str,
) -> bool:
return _native.tool_id_had_empty_original_root_properties(catalog_index, tool_id)
def is_direct_root_optional_property_chunk(item: dict[str, Any]) -> bool:
return _native.is_direct_root_optional_property_chunk(item)
def drop_recomposed_tools_with_empty_properties(
tools: list[dict[str, Any]],
catalog_index: CatalogIndex,
ctx: PolicyContext,
) -> list[dict[str, Any]]:
return list(
_native.drop_recomposed_tools_with_empty_properties(tools, catalog_index, ctx),
)