LangGraph on OCI
This repository will contain all the code for the oci_langraph package. A set of utility classes, with usage examples, that will simplify the creation of Enterprise-grade AI agents and workflow on OCI.
Features available
- Checkpointing integrated with LangGraph
- Integration with OCI APM
- Classes to simplify integration with OCI Queue
Examples
You can find examples in the directory: examples
Debugging
You can run in DEBUG mode setting the environment variable:
DEBUG=True
Metadata
Release files for oci-langgraph 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oci_langgraph-0.1.9.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oci_langgraph-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / oci_langgraph-0.1.9.tar.gz
| Download URL | oci_langgraph-0.1.9.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.0
|
Release files / oci_langgraph-0.1.9-py3-none-any.whl
| Download URL | oci_langgraph-0.1.9-py3-none-any.whl |
|---|---|
| Size | 14.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.0
|