Metadata-Version: 2.4
Name: lfx-acedatacloud-gpt-image
Version: 0.1.3
Summary: GPT Image by Ace Data Cloud: generation and same-task retrieval for Langflow
Project-URL: Homepage, https://platform.acedata.cloud
Project-URL: Documentation, https://github.com/AceDataCloud/LangflowAceDataCloud/blob/main/guides/gpt-image.md
Project-URL: Repository, https://github.com/AceDataCloud/LangflowAceDataCloud
Author-email: Ace Data Cloud <dev@acedata.cloud>
License-Expression: MIT
License-File: LICENSE
Keywords: acedatacloud,gpt-image,langflow,lfx
Requires-Python: <3.15,>=3.10
Requires-Dist: httpx<1,>=0.24
Requires-Dist: lfx<2,>=1.12.5
Description-Content-Type: text/markdown

# GPT Image by Ace Data Cloud for Langflow

Install just the GPT Image Generate and Retrieve Task nodes. This service package
does not install the full Ace bundle or register a chat model provider.
It uses the same reviewed client, request rules, and task implementation as the
aggregate package. Ace Data Cloud supplies this integration; service-owner
endorsement is not implied.

Version 0.1.3. Install in the same Python environment as Langflow:

```bash
python -m pip install "lfx-acedatacloud-gpt-image==0.1.3"
lfx extension list
langflow run
```

The [versioned GitHub release](https://github.com/AceDataCloud/LangflowAceDataCloud/releases/tag/v0.1.3) also provides a wheel and self-contained source archive for this service.

Restart an existing server. Open **Components → GPT Image by Ace Data Cloud** or search **GPT Image**.
Bind an Ace application API key stored as a Langflow Credential to both nodes.
Generate submits once; Retrieve Task only queries the original task. API usage
is paid according to current service prices; installing this extension is free.
See the [English guide](https://github.com/AceDataCloud/LangflowAceDataCloud/blob/main/guides/gpt-image.md)
and [Chinese guide](https://github.com/AceDataCloud/LangflowAceDataCloud/blob/main/guides/gpt-image_zh_CN.md).


The wheel includes no-key generation and retrieve-only flow JSON under
`lfx_acedatacloud_gpt_image/examples/`; use these with this service package. Aggregate examples
retain `ext:ace_data_cloud:*` IDs and require the aggregate installation.
This package uses `ext:ace_gpt_image:<Class>@official` IDs. All five service packages
can coexist. With the aggregate installed, its legacy category remains alongside
the service category; neither replaces the other's saved nodes. Uninstalling
one package does not remove another package's files.

From the complete `v0.1.3` source checkout, build a wheel and a self-contained sdist with `python -m build packages/gpt-image`. A local source install is `python -m pip install ./packages/gpt-image`.
The shared hook stages runtime source under the unique `lfx_acedatacloud_gpt_image` namespace;
only these two component files are discoverable. No runtime code is maintained
in this packaging directory. Maintainers regenerate metadata and hook copies
with `python scripts/service_packages.py`, then use `--check` to detect drift.
