1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41import OpenAI from "openai";
const client = new OpenAI();
const session = await client.beta.agents.sessions.create({
agent: {
model: "gpt-6-astra",
instructions:
"Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful.",
tools: [
{ type: "programmatic_tool_calling" },
{
type: "mcp",
server_label: "openai_docs",
transport: {
type: "http",
server_url: "https://developers.openai.com/mcp",
},
},
{ type: "web_search" },
],
multi_agent: { enabled: true, max_concurrent_subagents: 4 },
},
environment: {
type: "self_hosted",
workspace_directory: "/workspace",
capability_directories: ["/workspace/capabilities/skills"],
},
input: [
{
role: "user",
content: [
{
type: "input_text",
text: "Research how to connect an MCP server to an OpenAI agent, check for recent updates, and summarize the recommended setup.",
},
],
},
],
});
console.log(session.id);
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40from openai import OpenAI
client = OpenAI()
session = client.beta.agents.sessions.create(
agent={
"model": "gpt-6-astra",
"instructions": "Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful.",
"tools": [
{"type": "programmatic_tool_calling"},
{
"type": "mcp",
"server_label": "openai_docs",
"transport": {
"type": "http",
"server_url": "https://developers.openai.com/mcp",
},
},
{"type": "web_search"},
],
"multi_agent": {"enabled": True, "max_concurrent_subagents": 4},
},
environment={
"type": "self_hosted",
"workspace_directory": "/workspace",
"capability_directories": ["/workspace/capabilities/skills"],
},
input=[
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Research how to connect an MCP server to an OpenAI agent, check for recent updates, and summarize the recommended setup.",
}
],
}
],
)
print(session.id)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
)
ctx := context.Background()
client := openai.NewClient()
session, err := client.Beta.Agents.Sessions.New(ctx, openai.BetaAgentSessionNewParams{Agent: openai.BetaAgentSessionNewParamsAgent{Model: openai.String("gpt-6-astra"),
Instructions: openai.String("Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful."),
Tools: []openai.AgentToolParamUnion{openai.AgentToolParamUnion{OfParamProgrammaticToolCalling: &openai.AgentToolParamProgrammaticToolCalling{}},
openai.AgentToolParamUnion{OfParamMcp: &openai.AgentToolParamMcp{ServerLabel: "openai_docs",
Transport: openai.McpTransportParamUnion{OfParamHTTP: &openai.McpTransportParamHTTP{ServerURL: "https://developers.openai.com/mcp"}}}},
openai.AgentToolParamUnion{OfParamWebSearch: &openai.AgentToolParamWebSearch{}}},
MultiAgent: openai.MultiAgentConfigParam{Enabled: true,
MaxConcurrentSubagents: openai.Int(4)}},
Environment: openai.EnvironmentParamUnion{OfParamSelfHosted: &openai.EnvironmentParamSelfHosted{WorkspaceDirectory: "/workspace",
CapabilityDirectories: []string{"/workspace/capabilities/skills"}}},
Input: openai.BetaAgentSessionNewParamsInputUnion{OfArrayOfInputMessages: []openai.AgentSessionInputMessageParam{openai.AgentSessionInputMessageParam{Content: []openai.InputContentParamUnion{openai.InputContentParamUnion{OfParamInputText: &openai.InputContentParamInputText{Text: "Research how to connect an MCP server to an OpenAI agent, check for recent updates, and summarize the recommended setup."}}}}}}})
if err != nil {
panic(err)
}
fmt.Println(session.ID)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.agents.AgentToolParam;
import com.openai.models.beta.agents.EnvironmentParam;
import com.openai.models.beta.agents.McpTransportParam;
import com.openai.models.beta.agents.MultiAgentConfigParam;
import com.openai.models.beta.agents.sessions.SessionCreateParams;
import java.util.List;
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
var session =
client
.beta()
.agents()
.sessions()
.create(
SessionCreateParams.builder()
.agent(
SessionCreateParams.Agent.builder()
.model("gpt-6-astra")
.instructions(
"Use the OpenAI documentation MCP and web search to answer"
+ " technical questions accurately. Delegate independent"
+ " research tasks to subagents when useful.")
.addTool(AgentToolParam.ProgrammaticToolCalling.builder().build())
.addTool(
AgentToolParam.Mcp.builder()
.serverLabel("openai_docs")
.transport(
McpTransportParam.Http.builder()
.serverUrl("https://developers.openai.com/mcp")
.build())
.build())
.addTool(AgentToolParam.WebSearch.builder().build())
.multiAgent(
MultiAgentConfigParam.builder()
.enabled(true)
.maxConcurrentSubagents(4L)
.build())
.build())
.environment(
EnvironmentParam.SelfHosted.builder()
.workspaceDirectory("/workspace")
.capabilityDirectories(List.of("/workspace/capabilities/skills"))
.build())
.input(
"Research how to connect an MCP server to an OpenAI agent, check for recent"
+ " updates, and summarize the recommended setup.")
.build());
System.out.println(session.id());
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43require "openai"
client = OpenAI::Client.new
session = client.beta.agents.sessions.create(
agent: {
model: "gpt-6-astra",
instructions: "Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful.",
tools: [
{ type: "programmatic_tool_calling" },
{
type: "mcp",
server_label: "openai_docs",
transport: {
type: "http",
server_url: "https://developers.openai.com/mcp"
}
},
{ type: "web_search" }
],
multi_agent: {
enabled: true,
max_concurrent_subagents: 4
}
},
environment: {
type: "self_hosted",
workspace_directory: "/workspace",
capability_directories: ["/workspace/capabilities/skills"]
},
input: [
{
role: "user",
content: [
{
type: "input_text",
text: "Research how to connect an MCP server to an OpenAI agent, check for recent updates, and summarize the recommended setup."
}
]
}
]
)
puts session.id
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46curl -sS -X POST "https://api.openai.com/v1/agents/sessions" \
-H "OpenAI-Beta: agents=v1" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent": {
"model": "gpt-6-astra",
"instructions": "Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful.",
"tools": [
{
"type": "programmatic_tool_calling"
},
{
"type": "mcp",
"server_label": "openai_docs",
"transport": {
"type": "http",
"server_url": "https://developers.openai.com/mcp"
}
},
{
"type": "web_search"
}
],
"multi_agent": {
"enabled": true,
"max_concurrent_subagents": 4
}
},
"environment": {
"type": "self_hosted",
"workspace_directory": "/workspace",
"capability_directories": ["/workspace/capabilities/skills"]
},
"input": [
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Research how to connect an MCP server to an OpenAI agent, check for recent updates, and summarize the recommended setup."
}
]
}
]
}'
