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  • LangStream Documentation
  • ❤️Langstream.ai
  • ⭐LangStream GitHub Repo
  • 📜Changelog
  • about
    • What is LangStream?
    • License
  • Get Started
  • installation
    • LangStream CLI
    • Docker
    • Minikube (mini-langstream)
    • Kubernetes
    • Build and install from source
  • Building Applications
    • Vector Databases
    • Application structure
      • Pipelines
      • Instances
      • Configuration
      • Topics
      • Assets
      • Secrets
      • YAML templating
      • Error Handling
      • Stateful agents
      • .langstreamignore
    • Sample App
    • Develop, test and deploy
    • Application Lifecycle
    • Expression Language
    • API Gateways
      • Websocket
      • HTTP
      • Message filtering
      • Gateway authentication
    • API Reference
      • Agents
      • Resources
      • Assets
  • LangStream CLI
    • CLI Commands
    • CLI Configuration
    • Web interface
  • Integrations
    • Large Language Models (LLMs)
      • OpenAI
      • Hugging Face
      • Google Vertex AI
      • Amazon Bedrock
      • Ollama
    • Data storage
      • Astra Vector DB
      • Astra
      • Cassandra
      • Pinecone
      • Milvus
      • Solr
      • JDBC
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    • Integrations
      • Apache Kafka Connect
      • Apache Camel
    • LangServe
  • Pipeline Agents
    • Agent Messaging
    • Builtin agents
      • Input & Output
        • webcrawler-source
        • s3-source
        • azure-blob-storage-source
        • sink
        • vector-db-sink
        • camel-source
      • AI Agents
        • ai-chat-completions
        • ai-text-completions
        • compute-ai-embeddings
        • flare-controller
      • Text Processors
        • document-to-json
        • language-detector
        • query
        • query-vector-db
        • re-rank
        • text-normaliser
        • text-extractor
        • text-splitter
        • http-request
      • Data Transform
        • cast
        • compute
        • drop
        • drop-fields
        • merge-key-value
        • unwrap-key-value
      • Flow control
        • dispatch
        • timer-source
        • trigger-event
    • Custom Agents
      • Python sink
      • Python source
      • Python processor
      • Python service
    • Agent Developer Guide
      • Agent Types
      • Agent Creation
      • Configuration and Testing
      • Environment variables
  • Messaging
    • Messaging
      • Apache Pulsar
      • Apache Kafka
      • Pravega.io
  • Patterns
    • RAG pattern
    • FLARE pattern
  • Examples
    • LangServe chatbot
    • LlamaIndex Cassandra sink
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  1. Pipeline Agents

Agent Developer Guide

Creating custom Python agents in LangStream

PreviousPython serviceNextAgent Types

Last updated 1 year ago

As your journey continues with LangStream, you might want to develop your own agent.

Developing your own agent for LangStream is quite simple, using Python best practices. If you already have a Python application, it could be a good candidate as an Agent.

The Agent Developer Guide is broken into three milestones:

1. - Understand the three main Python agents you'll use in your applications. 2. - Create agents to process records. Handle exceptions for each agent type. 3. - Configure, test, and package your agents for production. 4. - Configure, test, and package your agents for production.

Get started with

Agent Types
Deploying Agents
Configuration and Testing
Enviroment variables
Part 1: Agent Types.