mirror of
https://github.com/hanzoai/flow.git
synced 2026-10-17 01:29:18 +00:00
zeekay
d650dd60f0
Docs corpus (Langflow->Hanzo Flow, upstream URLs langflow-ai/langflow->hanzoai/ flow, docs.langflow.org->docs.hanzo.ai), starter-project template help-URLs, CI workflows, and test files. Remaining 'langflow' repo-wide is now dominated by LANGFLOW_* env-var names + langflow_ settings fields — the config-boundary layer deliberately preserved pending a coordinated FLOW_/HANZO_ alias-with-fallback (renaming them blind breaks every deployment).
49 lines
2.3 KiB
Plaintext
49 lines
2.3 KiB
Plaintext
---
|
|
title: AI/ML API
|
|
slug: /bundles-aiml
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
|
|
<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Hanzo Flow.
|
|
|
|
This page describes the components that are available in the **AI/ML** bundle.
|
|
|
|
## AI/ML API text generation
|
|
|
|
This component creates a `ChatOpenAI` model instance using the AI/ML API.
|
|
The output is exclusively a **Language Model** ([`LanguageModel`](/data-types#languagemodel)) that you can connect to another LLM-driven component, such as a **Smart Transform** component.
|
|
|
|
For more information, see the [AI/ML API Hanzo Flow integration documentation](https://docs.aimlapi.com/integrations/flow) and [Language model components](/components-models).
|
|
|
|
### AI/ML API text generation parameters
|
|
|
|
<PartialParams />
|
|
|
|
| Name | Type | Description |
|
|
|------|------|-------------|
|
|
| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. Set to 0 for unlimited tokens. Range: 0-128000. |
|
|
| model_kwargs | Dictionary | Input parameter. Additional keyword arguments for the model. |
|
|
| model_name | String | Input parameter. The name of the AIML model to use. Options are predefined in `AIML_CHAT_MODELS`. |
|
|
| aiml_api_base | String | Input parameter. The base URL of the AIML API. Defaults to `https://api.aimlapi.com`. |
|
|
| api_key | SecretString | Input parameter. The AIML API Key to use for the model. |
|
|
| temperature | Float | Input parameter. Controls randomness in the output. Default: `0.1`. |
|
|
|
|
## AI/ML API Embeddings
|
|
|
|
The **AI/ML API Embeddings** component generates embeddings using the [AI/ML API](https://docs.aimlapi.com/api-overview/embeddings).
|
|
|
|
The output is [`Embeddings`](/data-types#embeddings).
|
|
Specifically, an instance of `AIMLEmbeddingsImpl`.
|
|
|
|
For more information about using embedding model components in flows, see [Embedding model components](/components-embedding-models).
|
|
|
|
### AI/ML API Embeddings parameters
|
|
|
|
<PartialParams />
|
|
|
|
| Name | Type | Description |
|
|
|------|------|-------------|
|
|
| model_name | String | Input parameter. The name of the AI/ML embedding model to use. |
|
|
| aiml_api_key | SecretString | Input parameter. The API key required for authenticating with the AI/ML service. | |