Modern graph orchestration library for building stateful, multi-actor applications with LLMs
Project description
synth-graph
Modern graph orchestration library for building stateful, multi-actor applications with LLMs.
Part of the Synth AI ecosystem.
Features
- 🔄 Stateful graph orchestration
- 🎭 Multi-actor coordination
- 🧠 LLM-native workflows
- 📊 Built-in observability
- ⚡ Async-first design
- 🔗 Seamless integration with Synth AI tools
Installation
pip install synth-graph
Quick Start
from synth_graph import Graph, Node
# Create a graph
g = Graph()
# Add nodes
g.add_node("start", Node(fn=lambda x: x))
g.add_node("process", Node(fn=lambda x: x * 2))
g.add_node("end", Node(fn=lambda x: x))
# Connect nodes
g.add_edge("start", "process")
g.add_edge("process", "end")
# Execute
result = g.run(input_data=5)
print(result) # 10
Related Packages
finetuning- Fine-tuning library for LLMssynth-ai- Main Synth AI SDK
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
synth_graph-0.1.0.tar.gz
(2.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file synth_graph-0.1.0.tar.gz.
File metadata
- Download URL: synth_graph-0.1.0.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6d05481fff72a1cd5f52eab2c841927f417a5b1acda8e7cb0de15212d4f442da
|
|
| MD5 |
4b648ee6b354f00c0f39a148cfb1e4c3
|
|
| BLAKE2b-256 |
e194fc3ecc565a78225714efca491e6c08dc588b448abe791d18088d8e1b4cd0
|
File details
Details for the file synth_graph-0.1.0-py3-none-any.whl.
File metadata
- Download URL: synth_graph-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3251893bf4a02e20740bad095cd937f65f26d413e4624e596c75e68b7cdd60a9
|
|
| MD5 |
6ea433e8c416c43d1062c76db96b7062
|
|
| BLAKE2b-256 |
d7429c1668bccc553f46552019a8425ee0d8d341feade7a5e8d12fb398df6f4d
|