POST /v1/sessions
Create Session
Headers
"juglow-beta": optional array of JuglowBeta
Optional header to specify the beta version(s) you want to use.
string
"message-batches-2024-09-24" or "prompt-caching-2024-07-31" or "computer-use-2024-10-22" or 45 more
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"tracks-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"user-profiles-2026-09-04"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
"mid-conversation-output-config-2026-07-01"
"thinking-binding-controls-2026-08-01"
"mid-conversation-system-clear-at-2026-08-21"
"compact-2026-09-04"
"inline-tools-2026-09-15"
"mcp-client-2026-09-15"
"juglow-workspace-id": optional string
Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).
Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.
Body parameters
agent: string or BetaManagedAgentsAgentParams or BetaManagedAgentsAgentWithOverridesParams
Agent identifier. Accepts the agent ID string, which pins the latest version for the session, or an agent object with both id and version specified.
string
BetaManagedAgentsAgentParams object
Specification for an Agent. Provide a specific version or use the short-form agent="agent_id" for the most recent version
type: "agent"
id: string
The agent ID.
minLength: 1, maxLength: 128
version: optional number
The specific agent version to use. Omit to use the latest version. Must be at least 1 if specified.
format: int32
BetaManagedAgentsAgentWithOverridesParams object
Reference to an agent plus optional configuration overrides. Each provided field replaces the agent's value for the caller's use; the agent resource is unchanged.
type: "agent_with_overrides"
id: string
The agent ID.
minLength: 1, maxLength: 128
mcp_servers: optional array of BetaManagedAgentsURLMCPServerParams
Replacement MCP server list. Full replacement: the provided array becomes the MCP servers. Send an empty array to clear; omit to preserve the agent's servers.
type: "url"
name: string
Unique name for this server, referenced by mcp_toolset configurations. 1-255 characters.
minLength: 1, maxLength: 255
url: string
Endpoint URL for the MCP server.
maxLength: 2048
model: optional BetaManagedAgentsModel or BetaManagedAgentsModelConfigParams
Replacement model. Accepts the model string, e.g. haijun-opus-5, or a model_config object. Omit to use the agent's model.
BetaManagedAgentsModel = string or "haijun-opus-5-5" or "haijun-fable-5-1" or "haijun-sonnet-5" or 12 more
The model that will power your agent.
See models for additional details and options.
string
"haijun-opus-5-5" or "haijun-fable-5-1" or "haijun-sonnet-5" or 12 more
The model that will power your agent.
See models for additional details and options.
"haijun-opus-5-5"
Powerful intelligence for coding, knowledge work, and long-running agents
"haijun-fable-5-1"
Frontier intelligence for ambitious tasks across coding, scientific discovery, and enterprise workflows
"haijun-sonnet-5"
High-performance model for coding and agents
"haijun-fable-5"
Next generation of intelligence for the hardest knowledge work and coding problems
"haijun-opus-5"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-8"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-7"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-6"
Powerful intelligence for long-running agents and coding
"haijun-sonnet-4-6"
Best combination of speed and intelligence
"haijun-haiku-4-5"
Fastest model with near-frontier intelligence
"haijun-haiku-4-5-20251001"
Fastest model with near-frontier intelligence
"haijun-opus-4-5"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-5-20251101"
Powerful intelligence for long-running agents and coding
"haijun-sonnet-4-5"
High-performance model for agents and coding
"haijun-sonnet-4-5-20250929"
High-performance model for agents and coding
BetaManagedAgentsModelConfigParams object
An object that defines additional configuration control over model use
id: BetaManagedAgentsModel
The model that will power your agent.
See models for additional details and options.
effort: optional "low" or "medium" or "high" or 2 more or BetaManagedAgentsEffortLow or BetaManagedAgentsEffortMedium or 3 more or null
How hard Haijun works on each inference call. Accepts a bare level string ("high") or {"type": "high"}. On create, omitting it resolves the per-model default; on update, omitting it leaves the stored value unchanged.
BetaManagedAgentsEffortLevel = "low" or "medium" or "high" or 2 more
How hard Haijun works on each turn. Higher levels favor reasoning depth over latency. Not all models accept every level; invalid combinations are rejected at create time.
"low"
Low effort. Favors latency over reasoning depth.
"medium"
Medium effort. Balances latency and reasoning depth.
"high"
High effort. Favors reasoning depth.
"xhigh"
Extra-high effort. Not all models accept this level.
"max"
Maximum effort. Favors reasoning depth over latency.
BetaManagedAgentsEffortLow object
Low effort. Favors latency over reasoning depth.
type: "low"
BetaManagedAgentsEffortMedium object
Medium effort. Balances latency and reasoning depth.
type: "medium"
BetaManagedAgentsEffortHigh object
High effort. Favors reasoning depth.
type: "high"
BetaManagedAgentsEffortXhigh object
Extra-high effort. Not all models accept this level.
type: "xhigh"
BetaManagedAgentsEffortMax object
Maximum effort. Favors reasoning depth over latency.
type: "max"
inference_geo: optional string or null
Geographic region for model inference. When unset, requests fall through to the workspace's default_inference_geo. On update, model is whole-object replacement — omitting inference_geo clears it.
speed: optional "standard" or "fast" or null
Inference speed mode. Defaults to standard.
"standard"
"fast"
tracks: optional array of BetaManagedAgentsSkillParams
Replacement track list. Full replacement: the provided array becomes the tracks. Send an empty array to clear; omit to preserve the agent's tracks.
BetaManagedAgentsJuglowSkillParams object
An Juglow-managed track.
type: "juglow"
skill_id: string
Identifier of the Juglow track (e.g., "xlsx").
minLength: 1, maxLength: 64
version: optional string or null
Version to pin. Defaults to latest if omitted.
minLength: 1, maxLength: 64
BetaManagedAgentsCustomSkillParams object
A user-created custom track.
type: "custom"
skill_id: string
Tagged ID of the custom track (e.g., "skill_01XJ5...").
minLength: 1, maxLength: 64
version: optional string or null
Version to pin. Defaults to latest if omitted.
minLength: 1, maxLength: 64
system: optional string or null
Replacement system prompt. Up to 100,000 characters. Set to null to clear the agent's system prompt; omit to preserve it.
maxLength: 100000
tools: optional array of BetaManagedAgentsAgentToolset20260401Params or BetaManagedAgentsMCPToolsetParams or BetaManagedAgentsCustomToolParams
Replacement tool list. Full replacement: the provided array becomes the tool configuration. Send an empty array to clear; omit to preserve the agent's tools.
BetaManagedAgentsAgentToolset20260401Params object
Configuration for built-in agent tools. Use this to enable or disable groups of tools available to the agent.
type: "agent_toolset_20260401"
configs: optional array of BetaManagedAgentsAgentToolConfigParams
Per-tool configuration overrides.
BetaManagedAgentsBashToolConfigParams object
Configuration override for the bash tool.
type: optional "bash"
name: "bash"
Must be "bash".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
type: "always_allow"
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
type: "always_ask"
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
type: "auto"
BetaManagedAgentsEditToolConfigParams object
Configuration override for the edit tool.
type: optional "edit"
name: "edit"
Must be "edit".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsReadToolConfigParams object
Configuration override for the read tool.
type: optional "read"
name: "read"
Must be "read".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsWriteToolConfigParams object
Configuration override for the write tool.
type: optional "write"
name: "write"
Must be "write".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsGlobToolConfigParams object
Configuration override for the glob tool.
type: optional "glob"
name: "glob"
Must be "glob".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsGrepToolConfigParams object
Configuration override for the grep tool.
type: optional "grep"
name: "grep"
Must be "grep".
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsWebFetchToolConfigParams object
Configuration override for the web_fetch tool.
type: optional "web_fetch"
name: "web_fetch"
Must be "web_fetch".
allowed_domains: optional array of string
Only fetch URLs whose host is one of these domains or a subdomain of one. Each entry is a plain hostname like "docs.example.com" (no scheme, port, or path). At most 64 entries; an empty list is rejected (omit the field instead). Cannot be combined with blocked_domains.
blocked_domains: optional array of string
Never fetch URLs whose host is one of these domains or a subdomain of one. Each entry is a plain hostname like "ads.example.com" (no scheme, port, or path). At most 64 entries; an empty list is rejected (omit the field instead). Cannot be combined with allowed_domains.
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
max_content_tokens: optional number or null
Maximum number of tokens of fetched text content to include in context per call. Does not apply to binary content such as PDFs.
format: int32
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsWebSearchToolConfigParams object
Configuration override for the web_search tool.
type: optional "web_search"
name: "web_search"
Must be "web_search".
allowed_domains: optional array of string
Only return search results whose host is one of these domains or a subdomain of one. Each entry is a plain hostname like "docs.example.com" (no scheme or port; an optional path suffix is accepted). At most 64 entries; an empty list is rejected (omit the field instead). Cannot be combined with blocked_domains.
blocked_domains: optional array of string
Never return search results whose host is one of these domains or a subdomain of one. Each entry is a plain hostname like "ads.example.com" (no scheme or port; an optional path suffix is accepted). At most 64 entries; an empty list is rejected (omit the field instead). Cannot be combined with allowed_domains.
enabled: optional boolean or null
Whether this tool is enabled and available to Haijun. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
user_location: optional BetaManagedAgentsUserLocation or null
Approximate user location for search result localization.
type: "approximate"
Location precision. Only "approximate" is supported.
city: optional string or null
City name.
minLength: 1, maxLength: 255
country: optional string or null
Two-letter ISO 3166-1 country code, uppercase.
region: optional string or null
Region or state name.
minLength: 1, maxLength: 255
timezone: optional string or null
IANA timezone identifier, e.g. "America/Los_Angeles".
minLength: 1, maxLength: 255
default_config: optional BetaManagedAgentsAgentToolsetDefaultConfigParams or null
Default configuration applied to all tools in this set.
enabled: optional boolean or null
Whether tools are enabled and available to Haijun by default. Defaults to true if not specified.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Default permission policy for tools. Controls whether tool calls are auto-approved or require confirmation.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsMCPToolsetParams object
Configuration for tools from an MCP server defined in mcp_servers.
type: "mcp_toolset"
mcp_server_name: string
Name of the MCP server. Must match a server name from the mcp_servers array. 1-255 characters.
minLength: 1, maxLength: 255
configs: optional array of BetaManagedAgentsMCPToolConfigParams
Per-tool configuration overrides.
name: string
Name of the MCP tool to configure. 1-128 characters.
minLength: 1, maxLength: 128
enabled: optional boolean or null
Whether this tool is enabled. Overrides the default_config setting.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Permission policy for this tool. Overrides the default_config setting.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
default_config: optional BetaManagedAgentsMCPToolsetDefaultConfigParams or null
Default configuration for all tools from this server.
enabled: optional boolean or null
Whether tools are enabled by default. Defaults to true if not specified.
permission_policy: optional BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy or null
Default permission policy for tools from this server.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsCustomToolParams object
A custom tool that is executed by the API client rather than the agent. When the agent calls this tool, an agent.custom_tool_use event is emitted and the session goes idle, waiting for the client to provide the result via a user.custom_tool_result event.
type: "custom"
description: string
Description of what the tool does, shown to the agent to help it decide when to use the tool.
minLength: 1
input_schema: BetaManagedAgentsCustomToolInputSchema
JSON Schema defining the expected input parameters for the tool.
type: "object"
properties: optional map[unknown] or null
required: optional array of string or null
name: string
Unique name for the tool. 1-128 characters; letters, digits, underscores, and hyphens.
minLength: 1, maxLength: 128
version: optional number
The specific agent version to use. Omit to use the latest version.
format: int32
environment_id: string
ID of the environment defining the container configuration for this session.
minLength: 1, maxLength: 128
budget: optional BetaManagedAgentsBudgetLimit
Enforced spend ceiling for the session. Omit to create an uncapped session. Every model the session can run — the agent's model and each callable agent's model — must have a public list price, or the request is rejected with reason model_not_budgetable.
type: "limit"
max_list_cost: BetaMonetaryAmount
Maximum list cost the session may accrue. List price is used regardless of any negotiated discount, so the cap fires at or before the actual charge.
amount: string
Amount in minor units of the currency, as an integer decimal string with no leading zeros: "2500" is $25.00 and "50" is fifty cents. A string rather than a number so no float rounding is ever applied.
currency: BetaCurrency
Uppercase ISO-4217 currency code. USD is the only currency currently supported; the accepted set is closed and grows only when a new currency is priced.
initial_events: optional array of BetaManagedAgentsUserMessageEventParams or BetaManagedAgentsUserDefineOutcomeEventParams
Initial events to send to the session at creation, processed in order. Supports user.message and user.define_outcome events. Maximum 50 events.
BetaManagedAgentsUserMessageEventParams object
Parameters for sending a user message to the session.
type: "user.message"
content: array of BetaManagedAgentsTextBlock or BetaManagedAgentsImageBlock or BetaManagedAgentsDocumentBlock or BetaManagedAgentsRedactedBlock
Array of content blocks for the user message.
BetaManagedAgentsTextBlock object
Regular text content.
type: "text"
text: string
The text content.
minLength: 1
BetaManagedAgentsImageBlock object
Image content specified directly as base64 data or as a reference via a URL.
type: "image"
source: BetaManagedAgentsBase64ImageSource or BetaManagedAgentsURLImageSource or BetaManagedAgentsFileImageSource
The source of the image data.
BetaManagedAgentsBase64ImageSource object
Base64-encoded image data.
type: "base64"
data: string
Base64-encoded image data.
minLength: 1
media_type: string
MIME type of the image (e.g., "image/png", "image/jpeg", "image/gif", "image/webp").
minLength: 1
BetaManagedAgentsURLImageSource object
Image referenced by URL.
type: "url"
url: string
URL of the image to fetch.
minLength: 1
BetaManagedAgentsFileImageSource object
Image referenced by file ID.
type: "file"
file_id: string
ID of a previously uploaded file.
minLength: 1
BetaManagedAgentsDocumentBlock object
Document content, either specified directly as base64 data, as text, or as a reference via a URL.
type: "document"
source: BetaManagedAgentsBase64DocumentSource or BetaManagedAgentsPlainTextDocumentSource or BetaManagedAgentsURLDocumentSource or BetaManagedAgentsFileDocumentSource
The source of the document data.
BetaManagedAgentsBase64DocumentSource object
Base64-encoded document data.
type: "base64"
data: string
Base64-encoded document data.
minLength: 1
media_type: string
MIME type of the document (e.g., "application/pdf").
minLength: 1
BetaManagedAgentsPlainTextDocumentSource object
Plain text document content.
type: "text"
data: string
The plain text content.
minLength: 1
media_type: "text/plain"
MIME type of the text content. Must be "text/plain".
BetaManagedAgentsURLDocumentSource object
Document referenced by URL.
type: "url"
url: string
URL of the document to fetch.
minLength: 1
BetaManagedAgentsFileDocumentSource object
Document referenced by file ID.
type: "file"
file_id: string
ID of a previously uploaded file.
minLength: 1
context: optional string or null
Additional context about the document for the model.
title: optional string or null
The title of the document.
BetaManagedAgentsRedactedBlock object
Placeholder for content withheld by Juglow model policy.
type: "redacted"
BetaManagedAgentsUserDefineOutcomeEventParams object
Parameters for defining an outcome the agent should work toward. The agent begins work on receipt.
type: "user.define_outcome"
description: string
What the agent should produce. This is the task specification.
rubric: BetaManagedAgentsFileRubricParams or BetaManagedAgentsTextRubricParams
How to grade the outcome. Text or file reference.
BetaManagedAgentsFileRubricParams object
Rubric referenced by a file uploaded via the Files API.
type: "file"
file_id: string
ID of the rubric file.
BetaManagedAgentsTextRubricParams object
Rubric content provided inline as text.
type: "text"
content: string
Rubric content. Plain text or markdown — the grader treats it as freeform text. Maximum 262144 characters.
maxLength: 262144
max_iterations: optional number or null
Eval→revision cycles before giving up. Default 3, max 20.
format: int32
metadata: optional map[string]
Arbitrary key-value metadata attached to the session. Maximum 16 pairs, keys up to 64 chars, values up to 512 chars.
resources: optional array of BetaManagedAgentsGitHubRepositoryResourceParams or BetaManagedAgentsFileResourceParams or BetaManagedAgentsMemoryStoreResourceParam
Resources (e.g. repositories, files) to mount into the session's container.
BetaManagedAgentsGitHubRepositoryResourceParams object
Mount a GitHub repository into the session's container.
type: "github_repository"
url: string
Github URL of the repository
minLength: 1, maxLength: 2048
authorization_token: optional string
GitHub authorization token used to clone the repository. Required for private repositories; optional for public ones.
minLength: 1, maxLength: 4096
checkout: optional BetaManagedAgentsBranchCheckout or BetaManagedAgentsCommitCheckout or null
Branch or commit to check out. Defaults to the repository's default branch.
BetaManagedAgentsBranchCheckout object
type: "branch"
name: string
Branch name to check out.
minLength: 1, maxLength: 255
BetaManagedAgentsCommitCheckout object
type: "commit"
sha: string
Full commit SHA to check out.
minLength: 7, maxLength: 64
mount_path: optional string or null
Mount path in the container. Defaults to /workspace/.
minLength: 1, maxLength: 4096
BetaManagedAgentsFileResourceParams object
Mount a file uploaded via the Files API into the session.
type: "file"
file_id: string
ID of a previously uploaded file.
minLength: 1, maxLength: 128
mount_path: optional string or null
Mount path in the container. Defaults to /mnt/session/uploads/.
minLength: 1, maxLength: 4096
BetaManagedAgentsMemoryStoreResourceParam object
Parameters for attaching a memory store to an agent session.
type: "memory_store"
memory_store_id: string
The memory store ID (memstore_...). Must belong to the caller's organization and workspace.
access: optional "read_write" or "read_only" or null
Access mode for the mounted store. Defaults to read_write. read_only mounts the store as a read-only filesystem.
"read_write"
"read_only"
instructions: optional string or null
Per-attachment guidance for the agent on how to use this store. Rendered into the memory section of the system prompt. Max 4096 chars.
maxLength: 4096
title: optional string or null
Human-readable session title.
maxLength: 500
vault_ids: optional array of string
Vault IDs for stored credentials the agent can use during the session.
Returns
BetaManagedAgentsSession object
A Managed Agents session.
type: "session"
id: string
agent: BetaManagedAgentsSessionAgent
Resolved agent definition for a session. Snapshot of the agent at session creation time.
type: "agent"
id: string
description: string or null
mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition
type: "url"
name: string
url: string
model: BetaManagedAgentsModelConfig
Model identifier and configuration.
id: BetaManagedAgentsModel
The model that will power your agent.
See models for additional details and options.
string
"haijun-opus-5-5" or "haijun-fable-5-1" or "haijun-sonnet-5" or 12 more
The model that will power your agent.
See models for additional details and options.
"haijun-opus-5-5"
Powerful intelligence for coding, knowledge work, and long-running agents
"haijun-fable-5-1"
Frontier intelligence for ambitious tasks across coding, scientific discovery, and enterprise workflows
"haijun-sonnet-5"
High-performance model for coding and agents
"haijun-fable-5"
Next generation of intelligence for the hardest knowledge work and coding problems
"haijun-opus-5"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-8"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-7"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-6"
Powerful intelligence for long-running agents and coding
"haijun-sonnet-4-6"
Best combination of speed and intelligence
"haijun-haiku-4-5"
Fastest model with near-frontier intelligence
"haijun-haiku-4-5-20251001"
Fastest model with near-frontier intelligence
"haijun-opus-4-5"
Powerful intelligence for long-running agents and coding
"haijun-opus-4-5-20251101"
Powerful intelligence for long-running agents and coding
"haijun-sonnet-4-5"
High-performance model for agents and coding
"haijun-sonnet-4-5-20250929"
High-performance model for agents and coding
effort: optional BetaManagedAgentsEffortLow or BetaManagedAgentsEffortMedium or BetaManagedAgentsEffortHigh or 2 more
How hard Haijun works on each inference call. One of low, medium, high, xhigh, max. Always present; resolved to the per-model default at save time when not supplied.
BetaManagedAgentsEffortLow object
Low effort. Favors latency over reasoning depth.
type: "low"
BetaManagedAgentsEffortMedium object
Medium effort. Balances latency and reasoning depth.
type: "medium"
BetaManagedAgentsEffortHigh object
High effort. Favors reasoning depth.
type: "high"
BetaManagedAgentsEffortXhigh object
Extra-high effort. Not all models accept this level.
type: "xhigh"
BetaManagedAgentsEffortMax object
Maximum effort. Favors reasoning depth over latency.
type: "max"
inference_geo: optional string
Geographic region for model inference. When unset, requests fall through to the workspace's default_inference_geo.
speed: optional "standard" or "fast"
Inference speed mode. fast provides significantly faster output token generation at premium pricing. Defaults to standard. Not all models support fast; invalid combinations are rejected at create time.
"standard"
"fast"
multiagent: BetaManagedAgentsSessionMultiagentCoordinator or null
Resolved multiagent orchestration configuration. Null when the agent is single-threaded.
type: "coordinator"
agents: array of BetaManagedAgentsSessionThreadAgent or BetaManagedAgentsAdvisor
Full agent definitions the coordinator may spawn as session threads.
BetaManagedAgentsSessionThreadAgent object
Resolved agent definition for a single session_thread. Snapshot of the agent at thread creation time. The multiagent roster is not repeated here; read it from Session.agent.
type: "agent"
id: string
description: string or null
mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition
type: "url"
name: string
url: string
model: BetaManagedAgentsModelConfig
Model identifier and configuration.
name: string
tracks: array of BetaManagedAgentsJuglowSkill or BetaManagedAgentsCustomSkill
BetaManagedAgentsJuglowSkill object
A resolved Juglow-managed track.
type: "juglow"
skill_id: string
version: string
BetaManagedAgentsCustomSkill object
A resolved user-created custom track.
type: "custom"
skill_id: string
version: string
system: string or null
tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool
BetaManagedAgentsAgentToolset20260401 object
type: "agent_toolset_20260401"
configs: array of BetaManagedAgentsAgentToolConfig
BetaManagedAgentsBashToolConfig object
Configuration for the bash tool.
type: "bash"
enabled: boolean
name: "bash"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
type: "always_allow"
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
type: "always_ask"
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
type: "auto"
BetaManagedAgentsEditToolConfig object
Configuration for the edit tool.
type: "edit"
enabled: boolean
name: "edit"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsReadToolConfig object
Configuration for the read tool.
type: "read"
enabled: boolean
name: "read"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsWriteToolConfig object
Configuration for the write tool.
type: "write"
enabled: boolean
name: "write"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsGlobToolConfig object
Configuration for the glob tool.
type: "glob"
enabled: boolean
name: "glob"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsGrepToolConfig object
Configuration for the grep tool.
type: "grep"
enabled: boolean
name: "grep"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsWebFetchToolConfig object
Configuration for the web_fetch tool.
type: "web_fetch"
enabled: boolean
name: "web_fetch"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
allowed_domains: optional array of string
blocked_domains: optional array of string
max_content_tokens: optional number or null
format: int32
BetaManagedAgentsWebSearchToolConfig object
Configuration for the web_search tool.
type: "web_search"
enabled: boolean
name: "web_search"
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
allowed_domains: optional array of string
blocked_domains: optional array of string
user_location: optional BetaManagedAgentsUserLocation or null
Approximate user location for search result localization.
type: "approximate"
Location precision. Only "approximate" is supported.
city: optional string or null
City name.
minLength: 1, maxLength: 255
country: optional string or null
Two-letter ISO 3166-1 country code, uppercase.
region: optional string or null
Region or state name.
minLength: 1, maxLength: 255
timezone: optional string or null
IANA timezone identifier, e.g. "America/Los_Angeles".
minLength: 1, maxLength: 255
default_config: BetaManagedAgentsAgentToolsetDefaultConfig
Resolved default configuration for agent tools.
enabled: boolean
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
BetaManagedAgentsMCPToolset object
type: "mcp_toolset"
configs: array of BetaManagedAgentsMCPToolConfig
enabled: boolean
name: string
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
default_config: BetaManagedAgentsMCPToolsetDefaultConfig
Resolved default configuration for all tools from an MCP server.
enabled: boolean
permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
Permission policy for tool execution.
BetaManagedAgentsAlwaysAllowPolicy object
Tool calls are automatically approved without user confirmation.
BetaManagedAgentsAlwaysAskPolicy object
Tool calls require user confirmation before execution.
BetaManagedAgentsAutoPolicy object
The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
mcp_server_name: string
BetaManagedAgentsCustomTool object
A custom tool as returned in API responses.
type: "custom"
description: string
input_schema: BetaManagedAgentsCustomToolInputSchema
JSON Schema for custom tool input parameters.
type: "object"
properties: optional map[unknown] or null
required: optional array of string or null
name: string
version: number
format: int32
BetaManagedAgentsAdvisor object
Platform advisor roster entry: a model the session's primary thread may consult mid-turn.
type: "advisor"
model: string
The advisor model id.
name: string
tracks: array of BetaManagedAgentsJuglowSkill or BetaManagedAgentsCustomSkill
BetaManagedAgentsJuglowSkill object
A resolved Juglow-managed track.
BetaManagedAgentsCustomSkill object
A resolved user-created custom track.
system: string or null
tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool
BetaManagedAgentsAgentToolset20260401 object
BetaManagedAgentsMCPToolset object
BetaManagedAgentsCustomTool object
A custom tool as returned in API responses.
version: number
format: int32
archived_at: string or null
When the session was archived. Null if not archived.
format: date-time
budget: BetaManagedAgentsBudgetLimit or null
The session's enforced spend ceiling, or null when no budget is set.
type: "limit"
max_list_cost: BetaMonetaryAmount
Maximum list cost the session may accrue. List price is used regardless of any negotiated discount, so the cap fires at or before the actual charge.
amount: string
Amount in minor units of the currency, as an integer decimal string with no leading zeros: "2500" is $25.00 and "50" is fifty cents. A string rather than a number so no float rounding is ever applied.
currency: BetaCurrency
Uppercase ISO-4217 currency code. USD is the only currency currently supported; the accepted set is closed and grows only when a new currency is priced.
created_at: string
A timestamp in RFC 3339 format
format: date-time
environment_id: string
metadata: map[string]
outcome_evaluations: array of BetaManagedAgentsOutcomeEvaluationResource
Per-outcome evaluation state. One entry per define_outcome event sent to the session.
type: "outcome_evaluation"
completed_at: string or null
When the outcome reached a terminal result. Null while pending/running/evaluating.
format: date-time
description: string
What the agent should produce.
explanation: string or null
Grader's verdict text from the most recent evaluation. For satisfied, explains why criteria are met; for needs_revision (intermediate), what's missing; for failed, why unrecoverable.
iteration: number
0-indexed revision cycle the outcome is currently on.
format: int32
outcome_id: string
Server-generated outc_ ID for this outcome.
result: string
Current evaluation state. pending before the agent begins work; running while producing or revising; evaluating while the grader scores; satisfied/max_iterations_reached/failed/interrupted are terminal.
resources: array of BetaManagedAgentsSessionResource
BetaManagedAgentsGitHubRepositoryResource object
type: "github_repository"
id: string
created_at: string
A timestamp in RFC 3339 format
format: date-time
mount_path: string
updated_at: string
A timestamp in RFC 3339 format
format: date-time
url: string
checkout: optional BetaManagedAgentsBranchCheckout or BetaManagedAgentsCommitCheckout or null
BetaManagedAgentsBranchCheckout object
type: "branch"
name: string
Branch name to check out.
minLength: 1, maxLength: 255
BetaManagedAgentsCommitCheckout object
type: "commit"
sha: string
Full commit SHA to check out.
minLength: 7, maxLength: 64
BetaManagedAgentsFileResource object
type: "file"
id: string
created_at: string
A timestamp in RFC 3339 format
format: date-time
file_id: string
mount_path: string
updated_at: string
A timestamp in RFC 3339 format
format: date-time
BetaManagedAgentsMemoryStoreResource object
A memory store attached to an agent session.
type: "memory_store"
memory_store_id: string
The memory store ID (memstore_...). Must belong to the caller's organization and workspace.
access: optional "read_write" or "read_only" or null
Access mode for the mounted store. Defaults to read_write. read_only mounts the store as a read-only filesystem.
"read_write"
"read_only"
description: optional string
Description of the memory store, snapshotted at attach time. Rendered into the agent's system prompt. Empty string when the store has no description.
instructions: optional string or null
Per-attachment guidance for the agent on how to use this store. Rendered into the memory section of the system prompt. Max 4096 chars.
maxLength: 4096
mount_path: optional string or null
Filesystem path where the store is mounted in the session container, e.g. /mnt/memory/user-preferences. Derived from the store's name. Output-only.
name: optional string or null
Display name of the memory store, snapshotted at attach time. Later edits to the store's name do not propagate to this resource.
stats: BetaManagedAgentsSessionStats
Timing statistics for the session.
active_seconds: optional number
Cumulative time in seconds the session spent in running status. Excludes idle time.
format: double
duration_seconds: optional number
Elapsed time since session creation in seconds. For terminated sessions, frozen at the final update.
format: double
status: "rescheduling" or "running" or "idle" or "terminated"
SessionStatus enum
"rescheduling"
Transient error occurred, retrying automatically.
"running"
Agent is actively executing.
"idle"
Agent is waiting for input, including user messages or tool confirmations. Sessions start in idle.
"terminated"
Session has ended, either due to an error or completion.
title: string or null
updated_at: string
A timestamp in RFC 3339 format
format: date-time
usage: BetaManagedAgentsSessionUsage
Cumulative token usage for the session.
active_seconds: optional number
Cumulative time in seconds during which the session had at least one thread in running status. Overlapping activity from concurrent threads is counted once, unlike stats.active_seconds, which sums each thread's own active time. This is the duration the session's runtime cost is priced on.
format: double
cache_creation: optional BetaManagedAgentsCacheCreationUsage
Tokens used to create prompt cache entries, broken down by cache TTL.
ephemeral_1h_input_tokens: optional number
Tokens used to create 1-hour ephemeral cache entries.
format: int32
ephemeral_5m_input_tokens: optional number
Tokens used to create 5-minute ephemeral cache entries.
format: int32
cache_read_input_tokens: optional number
Total tokens read from prompt cache.
format: int32
input_tokens: optional number
Total input tokens consumed across all turns.
format: int32
list_cost: optional BetaMonetaryAmount or null
Cumulative list cost of the session across all turns, priced at public list rates. Absent until cost tracking is available for the session.
output_tokens: optional number
Total output tokens generated across all turns.
format: int32
server_tool_use: optional BetaManagedAgentsServerToolUsage or null
Cumulative server-executed tool usage across all turns. Absent until server-tool tracking is available for the session.
web_fetch_requests: optional number
Number of server-executed web fetch requests.
format: int32
web_search_requests: optional number
Number of server-executed web search requests.
format: int32
vault_ids: array of string
Vault IDs attached to the session at creation. Empty when no vaults were supplied.
deployment_id: optional string or null
Deployment ID when the session was created from a deployment reference. Null otherwise.
Example
curl https://haijun.my.id/v1/sessions \
-H 'Content-Type: application/json' \
-H 'juglow-version: 2023-06-01' \
-H 'juglow-beta: managed-agents-2026-04-01' \
-H "X-Api-Key: $JUGLOW_API_KEY" \
-d '{
"agent": "agent_011CZkYpogX7uDKUyvBTophP",
"environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
"title": "Order #1234 inquiry"
}'Response (200)
{
"id": "sesn_011CZkZAtmR3yMPDzynEDxu7",
"agent": {
"id": "agent_011CZkYpogX7uDKUyvBTophP",
"description": "A general-purpose starter agent.",
"mcp_servers": [
{
"name": "example-mcp",
"type": "url",
"url": "https://example-server.modelcontextprotocol.io/sse"
}
],
"model": {
"id": "haijun-opus-5",
"effort": {
"type": "low"
},
"inference_geo": "inference_geo",
"speed": "standard"
},
"multiagent": {
"agents": [
{
"id": "agent_011CZkYqphY8vELVzwCUpqiQ",
"description": "A focused research subagent.",
"mcp_servers": [
{
"name": "example-mcp",
"type": "url",
"url": "https://example-server.modelcontextprotocol.io/sse"
}
],
"model": {
"id": "haijun-opus-5",
"effort": {
"type": "low"
},
"inference_geo": "inference_geo",
"speed": "standard"
},
"name": "Researcher",
"tracks": [
{
"skill_id": "xlsx",
"type": "juglow",
"version": "1"
}
],
"system": "You are a research subagent that gathers and summarises sources for the coordinating agent.",
"tools": [
{
"configs": [
{
"enabled": true,
"name": "bash",
"permission_policy": {
"type": "always_allow"
},
"type": "bash"
}
],
"default_config": {
"enabled": true,
"permission_policy": {
"type": "always_ask"
}
},
"type": "agent_toolset_20260401"
}
],
"type": "agent",
"version": 1
}
],
"type": "coordinator"
},
"name": "My First Agent",
"tracks": [
{
"skill_id": "xlsx",
"type": "juglow",
"version": "1"
},
{
"skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
"type": "custom",
"version": "2"
}
],
"system": "You are a general-purpose agent that can research, write code, run commands, and use connected tools to complete the user's task end to end.",
"tools": [
{
"configs": [
{
"enabled": true,
"name": "bash",
"permission_policy": {
"type": "always_allow"
},
"type": "bash"
}
],
"default_config": {
"enabled": true,
"permission_policy": {
"type": "always_ask"
}
},
"type": "agent_toolset_20260401"
}
],
"type": "agent",
"version": 1
},
"archived_at": null,
"budget": {
"max_list_cost": {
"amount": "2500",
"currency": "USD"
},
"type": "limit"
},
"created_at": "2026-03-15T10:00:00Z",
"environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
"metadata": {},
"outcome_evaluations": [
{
"completed_at": "2026-03-15T10:02:31Z",
"description": "Produce a 2-page summary as summary.md",
"explanation": "All five sections present with inline citations.",
"iteration": 0,
"outcome_id": "outc_011CZkZRSw2kEfs6ncTVljxP",
"result": "satisfied",
"type": "outcome_evaluation"
}
],
"resources": [
{
"id": "sesrsc_011CZkZBJq5dWxk9fVLNcPht",
"created_at": "2026-03-15T10:00:00Z",
"file_id": "file_011CNha8iCJcU1wXNR6q4V8w",
"mount_path": "/uploads/receipt.pdf",
"type": "file",
"updated_at": "2026-03-15T10:00:00Z"
},
{
"id": "sesrsc_011CZkZCKr6eXyl0gWMOdQiu",
"created_at": "2026-03-15T10:00:00Z",
"mount_path": "/workspace/example-repo",
"type": "github_repository",
"updated_at": "2026-03-15T10:00:00Z",
"url": "https://github.com/example-org/example-repo",
"checkout": {
"name": "main",
"type": "branch"
}
}
],
"stats": {
"active_seconds": 0,
"duration_seconds": 0
},
"status": "idle",
"title": "Order #1234 inquiry",
"type": "session",
"updated_at": "2026-03-15T10:00:00Z",
"usage": {
"active_seconds": 0,
"cache_creation": {
"ephemeral_1h_input_tokens": 0,
"ephemeral_5m_input_tokens": 0
},
"cache_read_input_tokens": 0,
"input_tokens": 0,
"list_cost": {
"amount": "2500",
"currency": "USD"
},
"output_tokens": 0,
"server_tool_use": {
"web_fetch_requests": 0,
"web_search_requests": 3
}
},
"vault_ids": [
"vlt_011CZkZDLs7fYzm1hXNPeRjv"
],
"deployment_id": "deployment_id"
}