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- Elasticsearch version 8.18.0
- Elasticsearch version 8.17.0
- Elasticsearch version 8.16.2
- Elasticsearch version 8.16.1
- Elasticsearch version 8.16.0
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- Dependencies and versions
Chat completion inference API
editChat completion inference API
editStreams a chat completion response.
The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Azure, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face. For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models. However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the Machine learning trained model APIs.
Request
editPOST /_inference/<inference_id>/_unified
POST /_inference/chat_completion/<inference_id>/_unified
Prerequisites
edit-
Requires the
monitor_inference
cluster privilege (the built-ininference_admin
andinference_user
roles grant this privilege) - You must use a client that supports streaming.
Description
editThe chat completion inference API enables real-time responses for chat completion tasks by delivering answers incrementally, reducing response times during computation.
It only works with the chat_completion
task type for openai
and elastic
inference services.
The chat_completion
task type is only available within the _unified API and only supports streaming.
Path parameters
edit-
<inference_id>
- (Required, string) The unique identifier of the inference endpoint.
-
<task_type>
-
(Optional, string)
The type of inference task that the model performs. If included, this must be set to the value
chat_completion
.
Request body
edit-
messages
-
(Required, array of objects) A list of objects representing the conversation. Requests should generally only add new messages from the user (role
user
). The other message roles (assistant
,system
, ortool
) should generally only be copied from the response to a previous completion request, such that the messages array is built up throughout a conversation.Assistant message
-
content
-
(Required unless
tool_calls
is specified, string or array of objects) The contents of the message.Examples
String example
{ "content": "Some string" }
Object example
{ "content": [ { "text": "Some text", "type": "text" } ] }
- String representation
- (Required, string) The text content.
- Object representation
-
-
text
- (Required, string) The text content.
-
type
-
(Required, string)
This must be set to the value
text
.
-
-
role
-
(Required, string)
The role of the message author. This should be set to
assistant
for this type of message. -
tool_calls
-
(Optional, array of objects) The tool calls generated by the model.
Examples
{ "tool_calls": [ { "id": "call_KcAjWtAww20AihPHphUh46Gd", "type": "function", "function": { "name": "get_current_weather", "arguments": "{\"location\":\"Boston, MA\"}" } } ] }
-
id
- (Required, string) The identifier of the tool call.
-
type
-
(Required, string)
The type of tool call. This must be set to the value
function
. -
function
-
(Required, object) The function that the model called.
-
name
- (Required, string) The name of the function to call.
-
arguments
- (Required, string) The arguments to call the function with in JSON format.
-
-
System message
-
content
-
(Required, string or array of objects) The contents of the message.
Examples
String example
{ "content": "Some string" }
Object example
{ "content": [ { "text": "Some text", "type": "text" } ] }
- String representation
- (Required, string) The text content.
- Object representation
-
-
text
- (Required, string) The text content.
-
type
-
(Required, string)
This must be set to the value
text
.
-
-
role
-
(Required, string)
The role of the message author. This should be set to
system
for this type of message.
Tool message
-
content
-
(Required, string or array of objects) The contents of the message.
Examples
String example
{ "content": "Some string" }
Object example
{ "content": [ { "text": "Some text", "type": "text" } ] }
- String representation
- (Required, string) The text content.
- Object representation
-
-
text
- (Required, string) The text content.
-
type
-
(Required, string)
This must be set to the value
text
.
-
-
role
-
(Required, string)
The role of the message author. This should be set to
tool
for this type of message. -
tool_call_id
- (Required, string) The tool call that this message is responding to.
User message
-
content
-
(Required, string or array of objects) The contents of the message.
Examples
String example
{ "content": "Some string" }
Object example
{ "content": [ { "text": "Some text", "type": "text" } ] }
- String representation
- (Required, string) The text content.
- Object representation
-
-
text
- (Required, string) The text content.
-
type
-
(Required, string)
This must be set to the value
text
.
-
-
role
-
(Required, string)
The role of the message author. This should be set to
user
for this type of message.
-
-
model
- (Optional, string) The ID of the model to use. By default, the model ID is set to the value included when creating the inference endpoint.
-
max_completion_tokens
- (Optional, integer) The upper bound limit for the number of tokens that can be generated for a completion request.
-
stop
- (Optional, array of strings) A sequence of strings to control when the model should stop generating additional tokens.
-
temperature
- (Optional, float) The sampling temperature to use.
-
tools
-
(Optional, array of objects) A list of tools that the model can call.
Structure
-
type
-
(Required, string)
The type of tool, must be set to the value
function
. -
function
-
(Required, object) The function definition.
-
description
- (Optional, string) A description of what the function does. This is used by the model to choose when and how to call the function.
-
name
- (Required, string) The name of the function.
-
parameters
- (Optional, object) The parameters the functional accepts. This should be formatted as a JSON object.
-
strict
- (Optional, boolean) Whether to enable schema adherence when generating the function call.
-
Examples
{ "tools": [ { "type": "function", "function": { "name": "get_price_of_item", "description": "Get the current price of an item", "parameters": { "type": "object", "properties": { "item": { "id": "12345" }, "unit": { "type": "currency" } } } } } ] }
-
-
tool_choice
-
(Optional, string or object) Controls which tool is called by the model.
- String representation
-
One of
auto
,none
, orrequrired
.auto
allows the model to choose between calling tools and generating a message.none
causes the model to not call any tools.required
forces the model to call one or more tools. - Object representation
-
Structure
-
type
-
(Required, string)
The type of the tool. This must be set to the value
function
. -
function
-
(Required, object)
-
name
- (Required, string) The name of the function to call.
-
Examples
{ "tool_choice": { "type": "function", "function": { "name": "get_current_weather" } } }
-
-
top_p
- (Optional, float) Nucleus sampling, an alternative to sampling with temperature.
Examples
editThe following example performs a chat completion on the example question with streaming.
POST _inference/chat_completion/openai-completion/_stream { "model": "gpt-4o", "messages": [ { "role": "user", "content": "What is Elastic?" } ] }
The following example performs a chat completion using an Assistant message with tool_calls
.
POST _inference/chat_completion/openai-completion/_stream { "messages": [ { "role": "assistant", "content": "Let's find out what the weather is", "tool_calls": [ { "id": "call_KcAjWtAww20AihPHphUh46Gd", "type": "function", "function": { "name": "get_current_weather", "arguments": "{\"location\":\"Boston, MA\"}" } } ] }, { "role": "tool", "content": "The weather is cold", "tool_call_id": "call_KcAjWtAww20AihPHphUh46Gd" } ] }
The following example performs a chat completion using a User message with tools
and tool_choice
.
POST _inference/chat_completion/openai-completion/_stream { "messages": [ { "role": "user", "content": [ { "type": "text", "text": "What's the price of a scarf?" } ] } ], "tools": [ { "type": "function", "function": { "name": "get_current_price", "description": "Get the current price of a item", "parameters": { "type": "object", "properties": { "item": { "id": "123" } } } } } ], "tool_choice": { "type": "function", "function": { "name": "get_current_price" } } }
The API returns the following response when a request is made to the OpenAI service:
event: message data: {"chat_completion":{"id":"chatcmpl-Ae0TWsy2VPnSfBbv5UztnSdYUMFP3","choices":[{"delta":{"content":"","role":"assistant"},"index":0}],"model":"gpt-4o-2024-08-06","object":"chat.completion.chunk"}} event: message data: {"chat_completion":{"id":"chatcmpl-Ae0TWsy2VPnSfBbv5UztnSdYUMFP3","choices":[{"delta":{"content":Elastic"},"index":0}],"model":"gpt-4o-2024-08-06","object":"chat.completion.chunk"}} event: message data: {"chat_completion":{"id":"chatcmpl-Ae0TWsy2VPnSfBbv5UztnSdYUMFP3","choices":[{"delta":{"content":" is"},"index":0}],"model":"gpt-4o-2024-08-06","object":"chat.completion.chunk"}} (...) event: message data: {"chat_completion":{"id":"chatcmpl-Ae0TWsy2VPnSfBbv5UztnSdYUMFP3","choices":[],"model":"gpt-4o-2024-08-06","object":"chat.completion.chunk","usage":{"completion_tokens":28,"prompt_tokens":16,"total_tokens":44}}} event: message data: [DONE]