{"slug":"kennethkhoocy-asyncopenai-concurrency-httpx-pool","name":"asyncopenai-concurrency-httpx-pool","description":"Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK\n(AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when:\n(1) raising an asyncio.Semaphore above ~100 produces no throughput gain,\n(2) a batch pipeline saturates near 100 in-flight requests despite a larger\nsemaphore, (3) planning a high-concurrency campaign against a provider with\nno hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause:\nAsyncOpenAI's default httpx pool caps max_connections at 100, silently\nbottlenecking any larger semaphore — you must pass a custom http_client with\nhttpx.Limits sized to the semaphore.","long_description":"---\nname: asyncopenai-concurrency-httpx-pool\ndescription: |\n  Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK\n  (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when:\n  (1) raising an asyncio.Semaphore above ~100 produces no throughput gain,\n  (2) a batch pipeline saturates near 100 in-flight requests despite a larger\n  semaphore, (3) planning a high-concurrency campaign against a provider with\n  no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause:\n  AsyncOpenAI's default httpx pool caps max_connections at 100, silently\n  bottlenecking any larger semaphore — you must pass a custom http_client with\n  httpx.Limits sized to the semaphore.\nauthor: Claude Code\nversion: 1.0.0\ndate: 2026-07-17\n---\n\n# AsyncOpenAI Concurrency: the Hidden httpx Pool Cap\n\n## Problem\n\nAsync batch scorers typically gate concurrency with `asyncio.Semaphore(N)`.\nRaising N above ~100 silently does nothing: the OpenAI SDK's default httpx\ntransport caps the connection pool at `max_connections=100`, so excess tasks\nqueue inside httpx instead of reaching the provider. The semaphore looks like\nthe throttle but is not the binding constraint — there is no error, just a\nthroughput ceiling.\n\n## Context / Trigger Conditions\n\n- `asyncio.Semaphore(N)` with N > 100 around `client.chat.completions.create`\n  shows the same throughput as N = 100\n- Client constructed as `AsyncOpenAI(api_key=..., base_url=...)` with no\n  `http_client` argument (the default transport)\n- Provider is known to allow high concurrency (DeepSeek v4-flash: ~2500)\n- Symptom check: requests-in-flight measured at the server never exceeds ~100\n\n## Solution\n\nSize the httpx pool to the semaphore when constructing the client:\n\n```python\nimport httpx\nfrom openai import AsyncOpenAI\n\nCONCURRENCY = 2000\nclient = AsyncOpenAI(\n    api_key=..., base_url=\"https://api.deepseek.com\",\n    http_client=httpx.AsyncClient(limits=httpx.Limits(\n        max_connections=CONCURRENCY,\n        max_keepalive_connections=CONCURRENCY)))\nsem = asyncio.Semaphore(CONCURRENCY)\n```\n\nBoth edits are required; either alone caps the other. Keep the per-request\nretry loop — at high concurrency transient failures are more likely, and the\nretry envelope is what turns them into non-events.\n\n## Verification\n\nThroughput scales with N. Verified 2026-07-17 on DeepSeek v4-flash\n(deepseek-chat, JSON-mode unit scoring, ~1.5k-token prompts): at semaphore 50\na cold 13.8k-request chunk took ~70 min; at semaphore 2000 + matched pool, a\n14.4k-request chunk took ~11 min (~40 req/s sustained, ~250/s burst on a\n1.7k-request tail chunk), 0 failed requests, 0 schema-invalid responses.\nEffective speedup ~7x rather than 40x — server-side queuing absorbs the rest —\nbut with zero reliability cost.\n\n## Example\n\nSpecialist Directors US T1 campaign: final 8 chunks (100,243 calls) completed\nin ~55 minutes for $8.08 after the fix, versus a projected ~9 hours at the old\nsetting. The edit is two lines in the scorer; the semaphore constant alone\nwould have been a silent no-op.\n\n## Notes\n\n- DeepSeek publishes no hard rate limit and handled 2000 in-flight cleanly;\n  the practical ceiling reported is ~2500. Other providers enforce RPM/TPM\n  caps — check before sizing.\n- Windows: default asyncio proactor loop handled 2000 sockets without\n  tuning; no ulimit-style adjustment needed.\n- Companion ops lesson from the same campaign: when a run's *plan* changes\n  scale (two-night legs -> one-shot), re-audit the launch glue's hardcoded\n  limits — a wrapper `MAX-HOURS=10` safety cap sized for the old plan\n  hard-killed a healthy runner at 97/108 chunks. Caps and budgets in\n  supervisor scripts must be revisited whenever expected duration changes.\n- Concurrency is a pure throughput knob: per-request outputs are unchanged\n  (temperature 0, independent requests), so raising it mid-campaign does not\n  create a scoring seam — unlike model/prompt changes, which do (see\n  [llm-campaign-drift-gate]).\n","tagline":"Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK\n(AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when:\n(1) raising an asyncio.Semaphore above ~100 produces no throughput gain,\n(2) a batch pipeline saturates near 100 in-flight req","category":"design-creative","tags":["agent-skill"],"author":"Claude Code","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"kennethkhoocy/applied-micro-skills","creatorName":"Claude Code","creatorUrl":"https://github.com/kennethkhoocy","sourceUrl":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/kennethkhoocy-asyncopenai-concurrency-httpx-pool#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"asyncopenai-concurrency-httpx-pool\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"asyncopenai-concurrency-httpx-pool\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, network or browser access","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","Permission surface: secrets or environment access, network or browser access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","High-risk permission hints: Secrets or environment access","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, network or browser access","GitHub adoption: 47 GitHub stars"],"agent_contract":{"task_input":"Use asyncopenai-concurrency-httpx-pool in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 74/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 50/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"kennethkhoocy-asyncopenai-concurrency-httpx-pool (asyncopenai-concurrency-httpx-pool)","install_command":"npx skills add kennethkhoocy/applied-micro-skills --skill asyncopenai-concurrency-httpx-pool","risk_summary":"Needs review; 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issue activity unavailable in current metadata","Permission surface: secrets or environment access, network or browser access"]},"quality_signals":{"model":"v2","star_score":11.77,"usage_score":0,"review_score":5.7,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add kennethkhoocy/applied-micro-skills --skill asyncopenai-concurrency-httpx-pool","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-asyncopenai-concurrency-httpx-pool","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"asyncopenai-concurrency-httpx-pool\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"asyncopenai-concurrency-httpx-pool\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"asyncopenai-concurrency-httpx-pool\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-asyncopenai-concurrency-httpx-pool\",\"task\":\"Install asyncopenai-concurrency-httpx-pool\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool","github_repo":"kennethkhoocy/applied-micro-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-asyncopenai-concurrency-httpx-pool","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/asyncopenai-concurrency-httpx-pool","api":"/api/agent/skills/kennethkhoocy-asyncopenai-concurrency-httpx-pool","install_api":"/api/skills/kennethkhoocy-asyncopenai-concurrency-httpx-pool/install"},"meta":{"created_at":"2026-08-24T04:36:50.621988+00:00","updated_at":"2026-08-24T06:36:19.09717+00:00","agent_friendly":true}}