Threads, Assistants
Create a run
Creates a run from the supplied request.
Parametri del percorso
thread_id
string
necessario
The ID of the thread to run.
Parametri di query
include[]
enum[]
A list of additional fields to include in the response. Currently the only supported value is step_details.tool_calls[*].file_search.results[*].content to fetch the file search result content.
See the file search tool documentation for more information.
Corpo della richiesta
The request body.
assistant_id
string
necessario
The ID of the assistant to use to execute this run.
model
string | enum | null
The ID of the Model to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
enum
reasoning_effort
string | enum | null
Constrains effort on reasoning for reasoning models. Currently supported values are none, minimal, low, medium, high, xhigh, and max. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Not all reasoning models support every value. See the reasoning guide for model-specific support.
enum
instructions
string | null
Overrides the instructions of the assistant. This is useful for modifying the behavior on a per-run basis.
additional_instructions
string | null
Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions.
additional_messages
OpenAI.CreateMessageRequest[] | null
Adds additional messages to the thread before creating the run.
tools
OpenAI.AssistantTool[] | null
Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.
metadata
OpenAI.Metadata | null
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
temperature
number | null
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
top_p
number | null
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.
stream
boolean | null
If true, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a data: [DONE] message.
max_prompt_tokens
integer | null
The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status incomplete. See incomplete_details for more info.
max_completion_tokens
integer | null
The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status incomplete. See incomplete_details for more info.
truncation_strategy
OpenAI.TruncationObject
Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.
type
enum
necessario
The truncation strategy to use for the thread. The default is auto. If set to last_messages, the thread will be truncated to the n most recent messages in the thread. When set to auto, messages in the middle of the thread will be dropped to fit the context length of the model, max_prompt_tokens.
tool_choice
enum | OpenAI.AssistantsNamedToolChoice
Controls which (if any) tool is called by the model. none means the model will not call any tools and instead generates a message. auto is the default value and means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools before responding to the user. Specifying a particular tool like {"type": "file_search"} or {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.
enum
type
enum
necessario
The type of the tool. If type is function, the function name must be set
function
OpenAI.AssistantsNamedToolChoiceFunction
parallel_tool_calls
boolean
Whether to enable parallel function calling during tool use.
response_format
enum | OpenAI.ResponseFormatText | OpenAI.ResponseFormatJsonObject | OpenAI.ResponseFormatJsonSchema
Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106. Setting to { "type": "json_schema", "json_schema": {...} } enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide. Setting to { "type": "json_object" } enables JSON mode, which ensures the message the model generates is valid JSON. Important:* when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.
enum
type
enum
necessario
The type of response format being defined. Always text.
type
enum
necessario
The type of response format being defined. Always json_object.
type
enum
necessario
The type of response format being defined. Always json_schema.
json_schema
OpenAI.ResponseFormatJsonSchemaJsonSchema
necessario
schema
OpenAI.ResponseFormatJsonSchemaSchema
The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.
Risposte
The request has succeeded.
Corpo
id
string
necessario
The identifier, which can be referenced in API endpoints.
object
enum
necessario
The object type, which is always thread.run.
created_at
integer
necessario
The Unix timestamp (in seconds) for when the run was created.
thread_id
string
necessario
The ID of the thread that was executed on as a part of this run.
assistant_id
string
necessario
The ID of the assistant used for execution of this run.
status
enum
necessario
The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.
required_action
OpenAI.RunObjectRequiredAction | null
necessario
Details on the action required to continue the run. Will be null if no action is required.
type
enum
necessario
submit_tool_outputs
OpenAI.RunObjectRequiredActionSubmitToolOutputs
necessario
last_error
OpenAI.RunObjectLastError | null
necessario
The last error associated with this run. Will be null if there are no errors.
code
enum
necessario
expires_at
integer | null
necessario
The Unix timestamp (in seconds) for when the run will expire.
started_at
integer | null
necessario
The Unix timestamp (in seconds) for when the run was started.
cancelled_at
integer | null
necessario
The Unix timestamp (in seconds) for when the run was cancelled.
failed_at
integer | null
necessario
The Unix timestamp (in seconds) for when the run failed.
completed_at
integer | null
necessario
The Unix timestamp (in seconds) for when the run was completed.
incomplete_details
OpenAI.RunObjectIncompleteDetails | null
necessario
Details on why the run is incomplete. Will be null if the run is not incomplete.
reason
enum
model
string
necessario
The model that the assistant used for this run.
instructions
string
necessario
The instructions that the assistant used for this run.
tools
OpenAI.AssistantTool[]
necessario
The list of tools that the assistant used for this run.
metadata
OpenAI.Metadata | null
necessario
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
usage
OpenAI.RunCompletionUsage | null
necessario
Usage statistics related to the run. This value will be null if the run is not in a terminal state (i.e. in_progress, queued, etc.).
temperature
number | null
The sampling temperature used for this run. If not set, defaults to 1.
top_p
number | null
The nucleus sampling value used for this run. If not set, defaults to 1.
max_prompt_tokens
integer | null
necessario
The maximum number of prompt tokens specified to have been used over the course of the run.
max_completion_tokens
integer | null
necessario
The maximum number of completion tokens specified to have been used over the course of the run.
truncation_strategy
OpenAI.TruncationObject | null
necessario
Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.
type
enum
necessario
The truncation strategy to use for the thread. The default is auto. If set to last_messages, the thread will be truncated to the n most recent messages in the thread. When set to auto, messages in the middle of the thread will be dropped to fit the context length of the model, max_prompt_tokens.
tool_choice
enum | OpenAI.AssistantsNamedToolChoice | null
necessario
Controls which (if any) tool is called by the model. none means the model will not call any tools and instead generates a message. auto is the default value and means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools before responding to the user. Specifying a particular tool like {"type": "file_search"} or {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.
enum
type
enum
necessario
The type of the tool. If type is function, the function name must be set
function
OpenAI.AssistantsNamedToolChoiceFunction
parallel_tool_calls
boolean
necessario
Whether to enable parallel function calling during tool use.
response_format
enum | OpenAI.ResponseFormatText | OpenAI.ResponseFormatJsonObject | OpenAI.ResponseFormatJsonSchema | null
necessario
Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106. Setting to { "type": "json_schema", "json_schema": {...} } enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide. Setting to { "type": "json_object" } enables JSON mode, which ensures the message the model generates is valid JSON. Important:* when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.
enum
type
enum
necessario
The type of response format being defined. Always text.
type
enum
necessario
The type of response format being defined. Always json_object.
type
enum
necessario
The type of response format being defined. Always json_schema.
json_schema
OpenAI.ResponseFormatJsonSchemaJsonSchema
necessario
schema
OpenAI.ResponseFormatJsonSchemaSchema
The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.
Richiedi
curl https://api.openai.com/v1/threads/thread_abc123/runs \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-H "OpenAI-Beta: assistants=v2" \
-d '{
"assistant_id": "asst_abc123"
}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("OPENAI_API_KEY"), # This is the default and can be omitted
)
for run in client.beta.threads.runs.create(
thread_id="thread_id",
assistant_id="assistant_id",
):
print(run)import OpenAI from "openai";
const openai = new OpenAI();
async function main() {
const run = await openai.beta.threads.runs.create(
"thread_abc123",
{ assistant_id: "asst_abc123" }
);
console.log(run);
}
main();import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});
const run = await client.beta.threads.runs.create('thread_id', { assistant_id: 'assistant_id' });
console.log(run.id);package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
run, err := client.Beta.Threads.Runs.New(
context.TODO(),
"thread_id",
openai.BetaThreadRunNewParams{
AssistantID: "assistant_id",
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v
", run.ID)
}package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.threads.runs.Run;
import com.openai.models.beta.threads.runs.RunCreateParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
RunCreateParams params = RunCreateParams.builder()
.threadId("thread_id")
.assistantId("assistant_id")
.build();
Run run = client.beta().threads().runs().create(params);
}
}require "openai"
openai = OpenAI::Client.new(api_key: "My API Key")
run = openai.beta.threads.runs.create("thread_id", assistant_id: "assistant_id")
puts(run)Response
{
"id": "run_abc123",
"object": "thread.run",
"created_at": 1699063290,
"assistant_id": "asst_abc123",
"thread_id": "thread_abc123",
"status": "queued",
"started_at": 1699063290,
"expires_at": null,
"cancelled_at": null,
"failed_at": null,
"completed_at": 1699063291,
"last_error": null,
"model": "gpt-4o",
"instructions": null,
"incomplete_details": null,
"tools": [
{
"type": "code_interpreter"
}
],
"metadata": {},
"usage": null,
"temperature": 1.0,
"top_p": 1.0,
"max_prompt_tokens": 1000,
"max_completion_tokens": 1000,
"truncation_strategy": {
"type": "auto",
"last_messages": null
},
"response_format": "auto",
"tool_choice": "auto",
"parallel_tool_calls": true
}Richiedi
curl https://api.openai.com/v1/threads/thread_123/runs \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-H "OpenAI-Beta: assistants=v2" \
-d '{
"assistant_id": "asst_123",
"stream": true
}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("OPENAI_API_KEY"), # This is the default and can be omitted
)
for run in client.beta.threads.runs.create(
thread_id="thread_id",
assistant_id="assistant_id",
):
print(run)import OpenAI from "openai";
const openai = new OpenAI();
async function main() {
const stream = await openai.beta.threads.runs.create(
"thread_123",
{ assistant_id: "asst_123", stream: true }
);
for await (const event of stream) {
console.log(event);
}
}
main();import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});
const run = await client.beta.threads.runs.create('thread_id', { assistant_id: 'assistant_id' });
console.log(run.id);package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
run, err := client.Beta.Threads.Runs.New(
context.TODO(),
"thread_id",
openai.BetaThreadRunNewParams{
AssistantID: "assistant_id",
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v
", run.ID)
}package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.threads.runs.Run;
import com.openai.models.beta.threads.runs.RunCreateParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
RunCreateParams params = RunCreateParams.builder()
.threadId("thread_id")
.assistantId("assistant_id")
.build();
Run run = client.beta().threads().runs().create(params);
}
}require "openai"
openai = OpenAI::Client.new(api_key: "My API Key")
run = openai.beta.threads.runs.create("thread_id", assistant_id: "assistant_id")
puts(run)Response
event: thread.run.created
data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.queued
data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.in_progress
data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710330641,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.step.created
data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
event: thread.run.step.in_progress
data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
event: thread.message.created
data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
event: thread.message.in_progress
data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}
...
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}}
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}
event: thread.message.completed
data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710330642,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}}
event: thread.run.step.completed
data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710330642,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}
event: thread.run.completed
data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710330641,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710330642,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: done
data: [DONE]Richiedi
curl https://api.openai.com/v1/threads/thread_abc123/runs \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-H "OpenAI-Beta: assistants=v2" \
-d '{
"assistant_id": "asst_abc123",
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"stream": true
}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("OPENAI_API_KEY"), # This is the default and can be omitted
)
for run in client.beta.threads.runs.create(
thread_id="thread_id",
assistant_id="assistant_id",
):
print(run)import OpenAI from "openai";
const openai = new OpenAI();
const tools = [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
}
}
];
async function main() {
const stream = await openai.beta.threads.runs.create(
"thread_abc123",
{
assistant_id: "asst_abc123",
tools: tools,
stream: true
}
);
for await (const event of stream) {
console.log(event);
}
}
main();import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});
const run = await client.beta.threads.runs.create('thread_id', { assistant_id: 'assistant_id' });
console.log(run.id);package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
run, err := client.Beta.Threads.Runs.New(
context.TODO(),
"thread_id",
openai.BetaThreadRunNewParams{
AssistantID: "assistant_id",
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v
", run.ID)
}package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.threads.runs.Run;
import com.openai.models.beta.threads.runs.RunCreateParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
RunCreateParams params = RunCreateParams.builder()
.threadId("thread_id")
.assistantId("assistant_id")
.build();
Run run = client.beta().threads().runs().create(params);
}
}require "openai"
openai = OpenAI::Client.new(api_key: "My API Key")
run = openai.beta.threads.runs.create("thread_id", assistant_id: "assistant_id")
puts(run)Response
event: thread.run.created
data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.queued
data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.in_progress
data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710348075,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: thread.run.step.created
data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
event: thread.run.step.in_progress
data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
event: thread.message.created
data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
event: thread.message.in_progress
data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}
...
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}}
event: thread.message.delta
data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}
event: thread.message.completed
data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}}
event: thread.run.step.completed
data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}
event: thread.run.completed
data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710348075,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710348077,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
event: done
data: [DONE]