Skip to main content

lfx-confluent

IBM Confluent — the data-in-motion half of IBM's streaming lakehouse — as a standalone Langflow Extension Bundle. Everything talks to Confluent over open protocols only (Kafka wire protocol, the Tableflow Iceberg REST catalog, and MCP over Streamable HTTP), so the same components work against Confluent Cloud, Confluent Platform, and WarpStream wherever the corresponding surface is exposed.

What it ships

Four components, registered under the confluent bundle group:

  • Confluent Real-Time Context Engine (ConfluentContextEngineComponent, canonical ID ext:confluent:ConfluentContextEngineComponent@official) — a preset MCP toolset for Confluent's Real-Time Context Engine. Templates the regional MCP endpoint from your organization / environment / cluster IDs, authenticates with a Confluent Cloud API key, and exposes list_topics, get_metadata, and query_data to an Agent (Tool Mode) or runs one tool directly (Response output).
  • Confluent Kafka Producer (ConfluentKafkaProducerComponent) — publish a Message, a Data object, or every row of a DataFrame to a topic and return the delivery report.
  • Confluent Kafka Consumer (ConfluentKafkaConsumerComponent) — read a bounded batch of records (message limit + timeout) into a DataFrame; JSON, string, Avro, and JSON-Schema (Schema Registry) values.
  • Confluent Tableflow Reader (ConfluentTableflowReaderComponent) — read a Kafka topic that Tableflow has materialized as an Apache Iceberg table through the Tableflow Iceberg REST catalog (pyiceberg, no JVM), with a row filter, projection, and row limit; or list the tables in a cluster.

Built on confluent-kafka and pyiceberg; the MCP component reuses Langflow's own MCP client engine.

Install

pip install lfx-confluent

pip install "langflow[bundles]" also includes it.

Develop

The bundle is a uv workspace member of the Langflow monorepo:

uv sync
uv run pytest src/bundles/confluent/tests -q
uv run lfx extension validate src/bundles/confluent/src/lfx_confluent

To iterate on the components with a live palette:

uv run lfx extension dev src/bundles/confluent

Live smoke tests (marked api_key_required) need a Confluent Cloud environment; see the test module docstrings for the environment variables they read.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lfx_confluent-0.1.0-py3-none-any.whl (20.8 kB view details)

Uploaded Python 3

File details

Details for the file lfx_confluent-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: lfx_confluent-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 20.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for lfx_confluent-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ed21594ecfca6ed8ccfd5f4935ef881d0cb8b1857cfc3bf0d8aec046a34e4068
MD5 f233027bc865a0b86345260e3dfa9433
BLAKE2b-256 99f6c1446b93f693e1caab5b66adcaa5db37316e4506bd27dfb3a49bbda9ff20

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page