src/bundles/empiriolabs/README.md
EmpirioLabs as a standalone Langflow Extension Bundle.
Ships two components for EmpirioLabs:
https://api.empiriolabs.ai/v1), so the
component reuses langchain_openai.ChatOpenAI and can output either a
Model Response (Message) or a Language Model (LanguageModel) for
downstream components such as Agents.POST /v1/images/generations).Both components fetch the live model list from the EmpirioLabs /v1/models
endpoint over requests, falling back to a bundled model list. This mirrors the
existing OpenAI-compatible provider bundles (novita, cometapi).
pip install lfx-empiriolabs
The bundle is registered automatically via the langflow.extensions
entry-point. After install, restart your Langflow server; the components will
appear in the palette under the EmpirioLabs group.
You will need an EmpirioLabs API key (https://empiriolabs.ai) to run the
components. By default the components read it from the EMPIRIOLABS_API_KEY
environment variable.
cd src/bundles/empiriolabs
pip install -e .
lfx extension validate src/lfx_empiriolabs
Saved flows referencing the legacy class names or the old import paths under
lfx.components.empiriolabs.* are rewritten to the new namespaced IDs
ext:empiriolabs:EmpirioLabsModelComponent@official and
ext:empiriolabs:EmpirioLabsImageGenerationComponent@official by the migration
table in src/lfx/src/lfx/extension/migration/migration_table.json.