aiokafka
Async Kafka client for Python using asyncio — native async/await Kafka producer and consumer. aiokafka features: AIOKafkaProducer for async message publishing (await producer.send_and_wait()), AIOKafkaConsumer for async consumption (async for msg in consumer), SSL/SASL auth, consumer groups, manual offset commit (await consumer.commit()), seek(), transaction support, batch sending, compression, and asyncio event loop integration. Drop-in async replacement for kafka-python's sync API. Part of aio-libs ecosystem (same as aiohttp, aiomysql). Required for async web frameworks (FastAPI, aiohttp) that cannot block on Kafka I/O.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Same security posture as kafka-python — use SSL, SASL, and env vars for credentials. Async nature means connection pooling — ensure TLS context reuse is correct. Kafka ACLs control access at broker level independent of client library.
⚡ Reliability
Best When
Async Python services (FastAPI, aiohttp, asyncio microservices) that need non-blocking Kafka I/O — aiokafka integrates naturally into async event loops while sync kafka-python would block the loop.
Avoid When
Your codebase is synchronous (use kafka-python), you need maximum throughput (use confluent-kafka), or you need stream processing (use Faust).
Use Cases
- • Agent async event publishing — producer = AIOKafkaProducer(bootstrap_servers='kafka:9092', value_serializer=lambda v: json.dumps(v).encode()); await producer.start(); await producer.send_and_wait('agent-events', {'task': 'done'}); await producer.stop() — non-blocking Kafka publish in async agent; FastAPI endpoint produces Kafka events without blocking request thread; 10x throughput vs sync in async context
- • Agent async event consumption — consumer = AIOKafkaConsumer('tasks', bootstrap_servers='kafka:9092', group_id='agent-pool', auto_offset_reset='earliest'); await consumer.start(); async for msg in consumer: await process_task(json.loads(msg.value)) — async Kafka consumer in event-loop; agent aiohttp/FastAPI service consumes tasks without blocking I/O loop; concurrent processing via asyncio.gather
- • Agent batch async processing — producer = AIOKafkaProducer(bootstrap_servers='kafka:9092'); await producer.start(); batch = producer.create_batch(); batch.append(key=None, value=b'msg', timestamp=None); await producer.send_batch(batch, 'topic', partition=0) — batch produce for throughput; agent data pipeline batches events before flushing to Kafka for reduced overhead
- • Agent async exactly-once — consumer = AIOKafkaConsumer(enable_auto_commit=False, ...); msg = await consumer.getone(); await process(msg); await consumer.commit({TopicPartition(msg.topic, msg.partition): OffsetAndMetadata(msg.offset+1, '')}) — manual commit after processing; agent reliable pipeline commits offset only after confirmed processing
- • Agent transactional producer — producer = AIOKafkaProducer(bootstrap_servers='kafka:9092', transactional_id='agent-txn-1'); await producer.begin_transaction(); await producer.send('topic', value=b'msg'); await producer.commit_transaction() — transactional Kafka writes; agent atomic multi-topic publish where all succeed or all fail
Not For
- • Sync Python codebases — use kafka-python for synchronous Kafka access; aiokafka requires asyncio event loop
- • High-throughput without async — confluent-kafka with threading is faster than aiokafka for pure throughput scenarios
- • Kafka Streams processing — for stream processing use Faust (async) or Bytewax
Interface
Authentication
SSL/TLS for transport. SASL/PLAIN, SASL/SCRAM-SHA-256, SASL/GSSAPI for authentication. Async-compatible auth setup.
Pricing
aiokafka is Apache 2.0 licensed. Free for all use.
Agent Metadata
Known Gotchas
- ⚠ Must call await producer.start() and await producer.stop() — AIOKafkaProducer() constructor doesn't connect; await producer.start() establishes connection; without stop(), connections leak; agent code must use async context manager: async with AIOKafkaProducer(...) as producer: await producer.send_and_wait(...)
- ⚠ Consumer lifespan must span request handler — creating AIOKafkaConsumer per request and calling start/stop is expensive; agent FastAPI apps should create one consumer at startup (lifespan event) and share across handlers; one consumer per app not per request
- ⚠ async for consumer loop blocks event loop — async for msg in consumer: await slow_task(msg) processes messages sequentially; agent high-throughput consumers must: msgs = [await consumer.getmany(max_records=100)]; await asyncio.gather(*[process(m) for m in msgs]); or run consumer in background asyncio.Task
- ⚠ Rebalance cancels inflight commits — CommitFailedError during consumer group rebalance is expected; agent consumer must handle: try: await consumer.commit() except CommitFailedError: pass — offset will be re-committed after rebalance completes; don't re-process, just retry the commit
- ⚠ send_and_wait vs send differ — await producer.send_and_wait('topic', b'msg') waits for broker acknowledgment; await producer.send('topic', b'msg') returns Future immediately; agent fire-and-forget code should still await f = await producer.send(...); await f to catch send failures
- ⚠ SSL configuration in async context — ssl_context = ssl.create_default_context() must be created before event loop or in asyncio.run(); passing ssl=True for self-signed certs requires: ctx = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT); ctx.check_hostname = False; ctx.verify_mode = ssl.CERT_NONE; AIOKafkaProducer(security_protocol='SSL', ssl_context=ctx)
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Scores are editorial opinions as of 2026-03-07.