Railtracks

Railtracks


PyPI Version Python Versions Monthly Downloads License GitHub Stars

What is Railtracks?

Railtracks is a Python framework for building agentic systems. Agent behavior, tools, and multi-step flows are defined entirely in standard Python using the control flow and abstractions you already know.

import railtracks as rt


# Define a tool (just a function!)
def get_weather(location: str) -> str:
    return f"It's sunny in {location}!"


# Create an agent with tools
agent = rt.agent_node(
    "Weather Assistant",
    tool_nodes=(rt.function_node(get_weather)),
    llm=rt.llm.OpenAILLM("gpt-4o"),
    system_message="You help users with weather information.",
)

# Run it
flow = rt.Flow(name="Weather Flow", entry_point=agent)
result = flow.invoke("What's the weather in Paris?")
# or `await flow.ainvoke("What's the weather in Paris?)` in an async context
print(result.text)  # "Based on the current data, it's sunny in Paris!"

Execution order, branching, and looping are expressed using standard Python control flow.

Why Railtracks?

Pure Python

# Write agents like regular functions
@rt.function_node
def my_tool(text: str) -> str:
    return process(text)
  • No YAML, no DSLs, no magic strings
  • Compatible with standard debuggers
  • Full IDE autocomplete and type checking

Tool-First Architecture

# Any function becomes a tool
agent = rt.agent_node("Assistant", tool_nodes=[my_tool, api_call])
  • Automatic function-to-tool conversion
  • Seamless API and database integration
  • MCP protocol support

Familiar Interface

# Native Async support
result = await rt.call(agent, query)
  • Standardized call interface, consistent with asyncio patterns
  • Built-in validation, error handling, and retries
  • Automatic parallelization management

Built-in Observability

Railtracks includes a visualizer for inspecting agent runs and evaluations in real-time, run completely locally with no signups required.

See the Observability documentation for setup and usage.

Quick Start

Installation 
pip install railtracks 'railtracks[visual]'
Your First Agent 
import railtracks as rt


# 1. Create tools (just functions with decorators!)
@rt.function_node
def count_characters(text: str, character: str) -> int:
    """Count occurrences of a character in text."""
    return text.count(character)


@rt.function_node
def word_count(text: str) -> int:
    """Count words in text."""
    return len(text.split())


# 2. Build an agent with tools
text_analyzer = rt.agent_node(
    "Text Analyzer",
    tool_nodes=(count_characters, word_count),
    llm=rt.llm.OpenAILLM("gpt-4o"),
    system_message="You analyze text using the available tools.",
)

# 3. Use it to solve the classic "How many r's in strawberry?" problem
text_flow = rt.Flow(name="Text Analysis Flow", entry_point=text_analyzer)

text_flow.invoke("How many 'r's are in 'strawberry'?")

LLM Support

Railtracks integrates with major model providers through a unified interface:

# OpenAI
rt.llm.OpenAILLM("gpt-5")

# Anthropic
rt.llm.AnthropicLLM("claude-4-6-sonnet")

# Local models
rt.llm.OllamaLLM("llama3")

Works with OpenAI, Anthropic, Google, Azure, and more. See the full provider list.

Contributing

Railtracks is developed in the open. Contributions, bug reports, and feature requests are welcome via GitHub Issues.

Quick Start Documentation Examples Join Discord

Licensed under MIT · Made by the Railtracks team

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.4.7)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for jbueza-railtownai from gravatar.com jbueza-railtownai Avatar for Loganu5632 from gravatar.com Loganu5632 Avatar for marwanrailtown from gravatar.com marwanrailtown

Credits

Author: Logan Underwood

License

MIT License

Requires

Python >=3.10

Provides Extra

all aws azure-blob chroma gcp huggingface ocr pdf portkey retrieval retrieval-core semantic sql stores-all stores-chroma stores-vector tiktok visual websearch

Classifiers

Report project as malware

Download files

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

Source Distribution

railtracks-1.4.6.tar.gz (264.2 kB view details)

Uploaded Source

Built Distribution

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

railtracks-1.4.6-py3-none-any.whl (374.4 kB view details)

Uploaded Python 3

File details

Details for the file railtracks-1.4.6.tar.gz.

File metadata

  • Download URL: railtracks-1.4.6.tar.gz
  • Upload date:
  • Size: 264.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for railtracks-1.4.6.tar.gz
Algorithm Hash digest
SHA256 17cc98a5799b6f5d38b05cd17a6bc33244e539ca90eff76ee3f9125f10476ab0
MD5 9792bfce56f594ccb660ccde5f71d321
BLAKE2b-256 01b9261e6a73ddb48cec925589e008e562c187b8a702960839fcf51b6d25499d

See more details on using hashes here.

File details

Details for the file railtracks-1.4.6-py3-none-any.whl.

File metadata

  • Download URL: railtracks-1.4.6-py3-none-any.whl
  • Upload date:
  • Size: 374.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for railtracks-1.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cb606c066876413879fd4d0f5ce427efe79141305b1cf69f97bf9099bff2ffbb
MD5 82ee1de88cd9f0bbf984476a568633e4
BLAKE2b-256 a2f80451ebc30ea391d67429d9b0c0851e4ccdcbbcb4bb24596fa3de84787a17

See more details on using hashes here.

Release history Release notifications | RSS feed

Yanked

1.115

2 files

Yanked reason: Mistyped version Number

1.4.7

2 files

This release

1.4.6 This release

2 files

1.4.5

2 files

1.4.4

2 files

1.4.3

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.10

2 files

1.3.9

2 files

1.3.8

2 files

1.3.7

2 files

1.3.6

2 files

1.3.5

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.28

2 files

1.1.27

2 files

1.1.26

2 files

1.1.25

2 files

1.1.24

2 files

1.1.23

2 files

1.1.22

2 files

1.1.21

2 files

1.1.20

2 files

1.1.19

2 files

1.1.18

2 files

1.1.17

2 files

1.1.16

2 files

1.1.14

2 files

1.1.11

2 files

1.1.10

2 files

1.1.9

2 files

1.1.8

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

Supported by

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