GET /v1/sessions
List Sessions
Query parameters
agent_id: optional string
Filter sessions created with this agent ID.
agent_version: optional number
Filter by agent version. Only applies when agent_id is also set.
format: int32
"created_at[gt]": optional string
Return sessions created after this time (exclusive).
format: date-time
"created_at[gte]": optional string
Return sessions created at or after this time (inclusive).
format: date-time
"created_at[lt]": optional string
Return sessions created before this time (exclusive).
format: date-time
"created_at[lte]": optional string
Return sessions created at or before this time (inclusive).
format: date-time
deployment_id: optional string
Filter sessions created by this deployment ID.
include_archived: optional boolean
When true, includes archived sessions. Default: false (exclude archived).
limit: optional number
Maximum number of results to return.
format: int32
memory_store_id: optional string
Filter sessions whose resources contain a memory_store with this memory store ID.
order: optional "asc" or "desc"
Sort direction for results, ordered by created_at. Defaults to desc (newest first).
"asc"
"desc"
page: optional string
Opaque pagination cursor from a previous response.
statuses: optional array of "rescheduling" or "running" or "idle" or "terminated"
Filter by session status. Repeat the parameter to match any of multiple statuses.
"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.
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.
Returns
data: optional array of BetaManagedAgentsSession
List of sessions.
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.
next_page: optional string or null
Opaque cursor for the next page. Null when no more results.
prev_page: optional string or null
Opaque cursor for the previous page. Null when on the first page. Pass as the page parameter to navigate backward.
Example
curl https://haijun.my.id/v1/sessions \
-H 'juglow-version: 2023-06-01' \
-H 'juglow-beta: managed-agents-2026-04-01' \
-H "X-Api-Key: $JUGLOW_API_KEY"Response (200)
{
"data": [
{
"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"
}
],
"next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo=",
"prev_page": "page_MjAyNS0wNS0xM1QwMDowMDowMFo="
}