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fix(llmagent): do not close shared cached httpx clients in cleanup() #58

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hurui200320 merged 1 commit from bugfix/m1-llmagent-cleanup-shared-client into master

2026-06-18 05:24:18 +00:00

hurui200320 commented

2026-06-17 17:20:09 +00:00

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Summary

Fixes #57 — LLMAgent.cleanup() was closing provider SDK client attributes (root_async_client, root_client, _async_client, _client) on every agent teardown. langchain-anthropic and langchain-openai cache their default httpx clients via module-level lru_cache functions. Closing those clients poisoned the cache: every subsequent ChatAnthropic/ChatOpenAI instance in the same process received the same closed httpx client and failed with a connection error.

This was the root cause of the downstream webapp failure where one actor request broke all subsequent LLM requests in the same process.

Changes

Fix (`src/cleveractors/agents/llm.py`)

LLMAgent.cleanup() now only sets self._chat_model = None — it does not call close() on any provider SDK client attribute.
Removed the _KNOWN_CLIENT_ATTRS class variable (no longer needed).
Removed ClassVar from the typing import.
Updated the cleanup() docstring to explain why closing is wrong (shared lru_cache clients).
The concurrent-idempotency guarantee is preserved: the lock is still acquired before nulling _chat_model.

Regression tests (`features/llm_cleanup_shared_client.feature`)

Six new BDD scenarios tagged @tdd_issue @tdd_issue_57:

Anthropic _async_client path: close() not called on mock SDK client.
Anthropic _client path: real httpx.Client not closed.
OpenAI root_async_client path: close() not called on mock SDK client.
OpenAI root_client path: real httpx.Client not closed.
End-to-end two-agent scenario (Anthropic): second agent works after first is cleaned up.
End-to-end two-agent scenario (OpenAI): same.

Obsolete tests removed

Removed 4 cleanup-error scenarios from credential_injection.feature that tested the old (buggy) close-on-cleanup behaviour.
Updated llm_missing_coverage.feature cleanup scenarios to assert clients are not closed.
Simplified credential_cleanup_steps.py (cleanup-error steps deleted; only resolve_class_ref patch step remains).
Updated llm_missing_coverage_steps.py with corrected assertions.

Changelog

Added entry to CHANGELOG.md.

Quality gate results

Gate	Result
`nox -s lint`	✅ Pass
`nox -s typecheck`	✅ Pass (0 errors)
`nox -s unit_tests`	✅ Pass (2612 scenarios)
`nox -s integration_tests`	✅ Pass (308 tests)
`nox -s coverage_report`	✅ Pass (97.1%)
`nox -s security_scan`	✅ Pass
`nox -s dead_code`	✅ Pass

Closes #57

## Summary Fixes #57 — `LLMAgent.cleanup()` was closing provider SDK client attributes (`root_async_client`, `root_client`, `_async_client`, `_client`) on every agent teardown. `langchain-anthropic` and `langchain-openai` cache their default httpx clients via module-level `lru_cache` functions. Closing those clients poisoned the cache: every subsequent `ChatAnthropic`/`ChatOpenAI` instance in the same process received the same closed httpx client and failed with a connection error. This was the root cause of the downstream webapp failure where one actor request broke all subsequent LLM requests in the same process. ## Changes ### Fix (`src/cleveractors/agents/llm.py`) - `LLMAgent.cleanup()` now only sets `self._chat_model = None` — it does **not** call `close()` on any provider SDK client attribute. - Removed the `_KNOWN_CLIENT_ATTRS` class variable (no longer needed). - Removed `ClassVar` from the `typing` import. - Updated the `cleanup()` docstring to explain why closing is wrong (shared `lru_cache` clients). - The concurrent-idempotency guarantee is preserved: the lock is still acquired before nulling `_chat_model`. ### Regression tests (`features/llm_cleanup_shared_client.feature`) Six new BDD scenarios tagged `@tdd_issue @tdd_issue_57`: - Anthropic `_async_client` path: `close()` not called on mock SDK client. - Anthropic `_client` path: real `httpx.Client` not closed. - OpenAI `root_async_client` path: `close()` not called on mock SDK client. - OpenAI `root_client` path: real `httpx.Client` not closed. - End-to-end two-agent scenario (Anthropic): second agent works after first is cleaned up. - End-to-end two-agent scenario (OpenAI): same. ### Obsolete tests removed - Removed 4 cleanup-error scenarios from `credential_injection.feature` that tested the old (buggy) close-on-cleanup behaviour. - Updated `llm_missing_coverage.feature` cleanup scenarios to assert clients are *not* closed. - Simplified `credential_cleanup_steps.py` (cleanup-error steps deleted; only `resolve_class_ref` patch step remains). - Updated `llm_missing_coverage_steps.py` with corrected assertions. ### Changelog - Added entry to `CHANGELOG.md`. ## Quality gate results | Gate | Result | |---|---| | `nox -s lint` | ✅ Pass | | `nox -s typecheck` | ✅ Pass (0 errors) | | `nox -s unit_tests` | ✅ Pass (2612 scenarios) | | `nox -s integration_tests` | ✅ Pass (308 tests) | | `nox -s coverage_report` | ✅ Pass (97.1%) | | `nox -s security_scan` | ✅ Pass | | `nox -s dead_code` | ✅ Pass | Closes #57

hurui200320 added 1 commit

2026-06-17 17:20:09 +00:00

fix(llmagent): do not close shared cached httpx clients in cleanup()

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ed9c4dc95d

LLMAgent.cleanup() previously iterated over hard-coded provider SDK client
attributes (root_async_client, root_client, _async_client, _client) and
called close() on each. Recent langchain-anthropic and langchain-openai
versions cache their default httpx clients via module-level lru_cache
functions. Closing those clients poisoned the cache: every subsequent
ChatAnthropic/ChatOpenAI instance in the same process received the same
closed httpx client and failed with a connection error.

Fix: cleanup() now only releases the agent's own reference to the chat
model (self._chat_model = None). The removed _KNOWN_CLIENT_ATTRS class
variable has been deleted and ClassVar removed from the typing import.

The concurrent-idempotency guarantee is preserved: the lock is still
acquired before nulling _chat_model, so two concurrent cleanup() calls
cannot both see a non-None model and attempt conflicting operations.

The four provider SDK client-closing scenarios in credential_injection.feature
and llm_missing_coverage.feature are removed as they tested the old (buggy)
behaviour. Their step definitions are removed from credential_cleanup_steps.py
(now only carries the resolve_class_ref patch step) and
llm_missing_coverage_steps.py is updated with the corrected assertions.

Six new regression BDD scenarios tagged @tdd_issue @tdd_issue_57 are added
in features/llm_cleanup_shared_client.feature, covering all four provider
SDK client attribute paths (Anthropic _async_client/_client, OpenAI
root_async_client/root_client) and two end-to-end two-agent scenarios that
prove a second agent can run successfully after the first is cleaned up.

ISSUES CLOSED: #57

hurui200320 added this to the v2.1.0 milestone

2026-06-17 17:20:16 +00:00

hurui200320 added the

Type

Bug

label

2026-06-17 17:20:17 +00:00

hurui200320 referenced this pull request

2026-06-17 17:20:47 +00:00

LLMAgent.cleanup() closes shared cached httpx clients, breaking subsequent LLM requests #57

hurui200320 added a new dependency

2026-06-17 17:29:40 +00:00

#57 LLMAgent.cleanup() closes shared cached httpx clients, breaking subsequent LLM requests

hurui200320 referenced this pull request

2026-06-18 03:30:30 +00:00

LLMAgent.cleanup() closes shared cached httpx clients, breaking subsequent LLM requests #57

hurui200320 commented

2026-06-18 05:15:55 +00:00

Author

Member

Review: Approve ✅

The fix is correct, minimal, and well-targeted. LLMAgent.cleanup() no longer closes provider SDK client attributes that are backed by shared lru_cache clients, eliminating the cross-request cache poisoning that broke subsequent LLM calls. The regression test coverage is appropriate (4 attribute paths × 2 providers, plus 2 end-to-end two-agent scenarios), the obsolete cleanup-error scenarios are correctly removed, and the changelog is updated. Coverage remains at 97.1%.

Critical Issues

None.

Major Issues

None.

Minor Issues (non-blocking)

Dead step definition — step_ml_setup_agent_with_failing_async_client in features/steps/llm_missing_coverage_steps.py remains after its Gherkin scenario was removed.
Dead cleanup branch — _cleanup_log_handler in features/environment.py is now unreachable after its installer was removed.
Outdated comment — src/cleveractors/runtime.py (line 197) still describes cleanup() as closing httpx.AsyncClient instances.

Nits (non-blocking)

Vestigial lock in LLMAgent.cleanup() — original rationale (preventing double-close()) no longer applies.
Tautological assertion in two-agent scenarios — mock model always succeeds, so the step cannot detect a poisoned shared client.
Unused context state scc_tracked_attr in cleanup shared-client step file.
PR description wording about "concurrent-idempotency guarantee" slightly overstates the lock's purpose.

These housekeeping items can be addressed in this PR as a polish pass or deferred to a follow-up. None blocks the merge. Approve.

## Review: Approve ✅ The fix is correct, minimal, and well-targeted. `LLMAgent.cleanup()` no longer closes provider SDK client attributes that are backed by shared `lru_cache` clients, eliminating the cross-request cache poisoning that broke subsequent LLM calls. The regression test coverage is appropriate (4 attribute paths × 2 providers, plus 2 end-to-end two-agent scenarios), the obsolete cleanup-error scenarios are correctly removed, and the changelog is updated. Coverage remains at 97.1%. ### Critical Issues None. ### Major Issues None. ### Minor Issues (non-blocking) 1. **Dead step definition** — `step_ml_setup_agent_with_failing_async_client` in `features/steps/llm_missing_coverage_steps.py` remains after its Gherkin scenario was removed. 2. **Dead cleanup branch** — `_cleanup_log_handler` in `features/environment.py` is now unreachable after its installer was removed. 3. **Outdated comment** — `src/cleveractors/runtime.py` (line 197) still describes `cleanup()` as closing `httpx.AsyncClient` instances. ### Nits (non-blocking) 1. Vestigial lock in `LLMAgent.cleanup()` — original rationale (preventing double-`close()`) no longer applies. 2. Tautological assertion in two-agent scenarios — mock model always succeeds, so the step cannot detect a poisoned shared client. 3. Unused context state `scc_tracked_attr` in cleanup shared-client step file. 4. PR description wording about "concurrent-idempotency guarantee" slightly overstates the lock's purpose. These housekeeping items can be addressed in this PR as a polish pass or deferred to a follow-up. None blocks the merge. **Approve.**

hurui200320 commented

2026-06-18 05:23:58 +00:00

Author

Member

Review verdict: Approve with minor, non-blocking cleanup notes

I reviewed this PR directly (without using the rui-review-pr agent). Assessment below is against the two requested checks: (1) whether the changes implement what the ticket requires, and (2) whether they break anything.

1. Does the change implement what the ticket requires?

Yes. Issue #57 asks that LLMAgent.cleanup() stop closing provider SDK client attributes backed by shared lru_cache httpx clients, and instead only release the agent's own chat-model reference.

The change in src/cleveractors/agents/llm.py does exactly that:

_KNOWN_CLIENT_ATTRS is removed.
The ClassVar import is removed.
cleanup() now only acquires the lock and sets self._chat_model = None.
The docstring is updated to explain why closing provider clients is wrong (shared lru_cache clients in langchain-anthropic / langchain-openai).

The regression tests in features/llm_cleanup_shared_client.feature cover the four client attribute paths from the issue (_async_client, _client, root_async_client, root_client) plus two end-to-end two-agent scenarios. The affected existing feature files were updated to assert clients are not closed, and the obsolete cleanup-error scenarios were removed. The CHANGELOG.md entry is accurate and complete.

2. Do the changes break anything?

No. I ran the relevant quality gates and test suites independently:

Session	Result
`nox -s unit_tests`	✅ 133 features, 2612 scenarios, 12424 steps passed
`nox -s unit_tests -- features/llm_cleanup_shared_client.feature`	✅ 6 scenarios passed
`nox -s unit_tests -- features/credential_injection.feature features/llm_missing_coverage.feature`	✅ 129 scenarios passed
`nox -s unit_tests -- features/actor_result_token_counting.feature features/execute_stream.feature`	✅ 194 scenarios passed
`nox -s lint`	✅ passed
`nox -s typecheck`	✅ passed (only the pre-existing `langchain_google_genai` import warning)
`nox -s dead_code`	✅ passed
`nox -s security_scan`	✅ passed

The full unit suite passing confirms no regressions. The streaming/execution tests are particularly important because they verify cleanup() is still invoked correctly from runtime.py / runtime_dispatch.py even though its internals changed.

Minor housekeeping issues (non-blocking)

I noticed the same cleanup leftovers already flagged in the author's self-review:

Dead step definition: step_ml_setup_agent_with_failing_async_client in features/steps/llm_missing_coverage_steps.py is no longer used by any Gherkin scenario.
Dead cleanup branch: features/environment.py still removes a _cleanup_log_handler that nothing installs anymore.
Outdated comment: src/cleveractors/runtime.py line 197 still says cleanup() “closes httpx.AsyncClient instances,” which is no longer true.

These are small polish items that do not affect correctness or quality gates, but they should be cleaned up either in this PR or a follow-up to avoid confusing future maintainers.

Overall: Approve. The fix is correct, minimal, and directly addresses the root cause described in #57. Regression coverage is appropriate and the full test suite passes without regressions.

## Review verdict: Approve with minor, non-blocking cleanup notes I reviewed this PR directly (without using the `rui-review-pr` agent). Assessment below is against the two requested checks: (1) whether the changes implement what the ticket requires, and (2) whether they break anything. ### 1. Does the change implement what the ticket requires? **Yes.** Issue #57 asks that `LLMAgent.cleanup()` stop closing provider SDK client attributes backed by shared `lru_cache` httpx clients, and instead only release the agent's own chat-model reference. The change in `src/cleveractors/agents/llm.py` does exactly that: - `_KNOWN_CLIENT_ATTRS` is removed. - The `ClassVar` import is removed. - `cleanup()` now only acquires the lock and sets `self._chat_model = None`. - The docstring is updated to explain why closing provider clients is wrong (shared `lru_cache` clients in `langchain-anthropic` / `langchain-openai`). The regression tests in `features/llm_cleanup_shared_client.feature` cover the four client attribute paths from the issue (`_async_client`, `_client`, `root_async_client`, `root_client`) plus two end-to-end two-agent scenarios. The affected existing feature files were updated to assert clients are *not* closed, and the obsolete cleanup-error scenarios were removed. The `CHANGELOG.md` entry is accurate and complete. ### 2. Do the changes break anything? **No.** I ran the relevant quality gates and test suites independently: | Session | Result | |---|---| | `nox -s unit_tests` | ✅ 133 features, 2612 scenarios, 12424 steps passed | | `nox -s unit_tests -- features/llm_cleanup_shared_client.feature` | ✅ 6 scenarios passed | | `nox -s unit_tests -- features/credential_injection.feature features/llm_missing_coverage.feature` | ✅ 129 scenarios passed | | `nox -s unit_tests -- features/actor_result_token_counting.feature features/execute_stream.feature` | ✅ 194 scenarios passed | | `nox -s lint` | ✅ passed | | `nox -s typecheck` | ✅ passed (only the pre-existing `langchain_google_genai` import warning) | | `nox -s dead_code` | ✅ passed | | `nox -s security_scan` | ✅ passed | The full unit suite passing confirms no regressions. The streaming/execution tests are particularly important because they verify `cleanup()` is still invoked correctly from `runtime.py` / `runtime_dispatch.py` even though its internals changed. ### Minor housekeeping issues (non-blocking) I noticed the same cleanup leftovers already flagged in the author's self-review: 1. **Dead step definition**: `step_ml_setup_agent_with_failing_async_client` in `features/steps/llm_missing_coverage_steps.py` is no longer used by any Gherkin scenario. 2. **Dead cleanup branch**: `features/environment.py` still removes a `_cleanup_log_handler` that nothing installs anymore. 3. **Outdated comment**: `src/cleveractors/runtime.py` line 197 still says `cleanup()` “closes httpx.AsyncClient instances,” which is no longer true. These are small polish items that do not affect correctness or quality gates, but they should be cleaned up either in this PR or a follow-up to avoid confusing future maintainers. **Overall: Approve.** The fix is correct, minimal, and directly addresses the root cause described in #57. Regression coverage is appropriate and the full test suite passes without regressions.

hurui200320 merged commit ed9c4dc95d into master

2026-06-18 05:24:18 +00:00

hurui200320 deleted branch bugfix/m1-llmagent-cleanup-shared-client

2026-06-18 05:24:18 +00:00