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Cyber MacGeddon 2024-12-28 16:09:10 +00:00
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docs/apis/api-document-load.md
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Coming soon

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docs/apis/api-embeddings.md
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## REST service
The REST service accepts a request object containing the question field.
The response is a JSON object containing the `answer` field. Interim
responses are not provided.
The response is a JSON object containing the `answer` field.
e.g.
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## Websocket
Agent requests have a `request` object containing the `text` field.
Embeddings requests have a `request` object containing the `text` field.
Responses have a `response` object containing `vectors` field.
e.g.
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## Pulsar
The Pulsar schema for the Agent API is defined in Python code here:
The Pulsar schema for the Embeddings API is defined in Python code here:
https://github.com/trustgraph-ai/trustgraph/blob/master/trustgraph-base/trustgraph/schema/models.py

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docs/apis/api-graph-embeddings.md
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docs/apis/api-text-completion.md
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# TrustGraph Embeddings API
# TrustGraph Text Completion API
This is a low-level interface to the LLM service. For a higher-level
interface with template management, consider the
[Prompt API](api-prompt.md).
## Request/response
@ -21,8 +25,7 @@ The request contains the following fields:
## REST service
The REST service accepts a request object containing the question field.
The response is a JSON object containing the `answer` field. Interim
responses are not provided.
The response is a JSON object containing the `answer` field.
e.g.
@ -44,7 +47,7 @@ Response:
## Websocket
Agent requests have a `request` object containing the `system` and
Requests have a `request` object containing the `system` and
`prompt` fields.
Responses have a `response` object containing `response` field.