The previous approach (bounded_gather building a fresh semaphore per call)
did NOT compose: the indexing call graph nests gathers
(tree_parser -> process_large_node_recursively -> recurse, plus each node's
check_title gather), and each level got its own independent cap. Peak
in-flight LLM calls grew ~N^depth, so a deep/wide document still exhausted
file descriptors (Errno 24) — the exact failure the cap was meant to
prevent — while the flat summary phase was over-serialized. Naively sharing
one semaphore across gather levels would instead deadlock (a parent holds a
slot while awaiting children that need slots).
Move the throttle to the single chokepoint every LLM call funnels through,
llm_acompletion: one shared semaphore per event loop, acquired only around
the litellm.acompletion network call. This gives a true global cap that
composes across any nesting and can't deadlock (a parent awaiting children
holds no slot). bounded_gather is gone; the call sites revert to plain
asyncio.gather.
Also:
- Reject bool in max_concurrency validation (bool is an int subclass, so
set_max_concurrency(True) / IndexConfig(max_concurrency=True) previously
became Semaphore(1) and silently serialized). Shared _validate_max_concurrency
+ a pydantic field_validator.
- Guard check_title_appearance_in_start_concurrent against an out-of-range
or 0 physical_index (LLM can emit one): it was dereferenced during task
construction, outside the gather's return_exceptions protection, aborting
the whole build; 0 silently wrapped to the last page. Now marked 'no'.
- Propagate contextvars into agent.py's worker-thread run (mirrors
pipeline._run_async) so ContextVar settings stay consistent.
- Tests rewritten to cover the nested case the old flat tests missed, the
leaf-level throttle in llm_acompletion, bool rejection, and the
out-of-range physical_index guard.
Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
Cap concurrent in-flight LLM calls during indexing via a shared
semaphore (bounded_gather), so a many-node document no longer schedules
one socket per node and exhausts the process fd limit (Errno 24).
Make the per-index max_concurrency override correct under concurrency:
- Scope IndexConfig(max_concurrency=...) to the build_index call via a
ContextVar (max_concurrency_scope) instead of mutating a process
global. A one-off value no longer sticks as the new default, and
concurrent indexing of other documents isn't affected.
- Propagate the context through _run_async's worker-thread fallback so
the override survives the sync-over-async thread hop.
- set_max_concurrency() stays as the explicit process-wide setter.
Also stop `from .utils import *` leaking a `config` name (SimpleNamespace
alias) that shadowed the real pageindex.config submodule for the
page_index modules; the alias is now `_config`.
Adds regression tests for cap enforcement, scope stickiness/isolation,
worker-thread propagation, and the config-namespace fix.
Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
llm_completion / llm_acompletion (pageindex/utils.py and
pageindex/index/utils.py) set `litellm.drop_params = True` on the litellm
module. litellm is a process-wide singleton, so this leaked into every other
library sharing it (e.g. a host app like OpenKB that exposes its own litellm
config) and could not be turned off.
Replace the hardcoded `temperature=0` + global `drop_params` with a single
PageIndex-owned per-call kwargs mechanism (config._LLM_PARAMS):
- defaults preserve behavior: {"temperature": 0, "drop_params": True};
- passed per call via **get_llm_params(), never writing litellm's globals, so
nothing leaks into other litellm users in the same process;
- externally configurable: pageindex.set_llm_params(drop_params=False,
temperature=1, num_retries=5, ...) or the PAGEINDEX_DROP_PARAMS env shortcut;
- model/messages are reserved (PageIndex supplies them) and rejected.
