Triformer
The composable AI actor that starts with zero built-in tools — every capability it has comes from an element you explicitly attach, so what the agent can read, write, run, or reach is auditable straight from its project.
Working with it
Opening a Triformer launches an agent chat — its dedicated working surface.
How it appears
The same element type rendered as a definition, a circle instance, and a live workspace card.
When to use / not
When to use
- Building an AI agent whose exact powers must be explicit and reviewable — a support agent that can only read a knowledge base, a data agent scoped to one database.
- Exposing an agent to untrusted input safely: attach only read-only tool capabilities (e.g. web search and fetch, via an attached tool element) and it literally cannot modify anything — its powers are exactly what you attach, nothing more.
- Orchestrating parallel work — attach delegation and let one agent fan tasks out to specialized sub-agents.
- Any AI task where you want to assemble capabilities by composition rather than inherit a fixed built-in toolset.
When not to use
- Hands-on coding that needs a real terminal and a rich built-in toolchain — reach for the claude-code (Coder) agent, which ships those tools rather than requiring you to attach each one.
- Pure single-shot text generation with no tools at all — a bare brain or a prompt-driven action is lighter than a whole composable actor.
- Deterministic branch/loop/wait control flow — that belongs in an app or automation, not in an agent's turn loop.
Topology
Created from the library and placed inside an app or circle. It is a top-level building block you compose with other elements.
Properties
brainstring- The main LLM for conversations, reasoning, and tool use.
mouthstring- Mouth element (TTS voice bank) this agent speaks through. Leave empty to use the circle default.
earsstring- Ears element (STT transcriber) this agent hears through. Leave empty for the circle default.
subconscious_brainstring- Default brain for all subconscious facets. Individual brains in subconscious_brains can override this.
Capabilities
Defined for this element
- Compute
- Llm
- Storage
- Observe
Operations
- activityGET
- answer_questionPOST
- attachPOST
- attachmentsGET
- batch_statsGET
- cancel_delegationPOST
- chatPOST
- composePOST
- contextGET
- createPOST
- delegatePOST
- delegation_statusPOST
- deleteDELETE
- detachPOST
- disablePOST
- enablePOST
- export_bundleGET
- generatePOST
- generation_getGET
- generationsGET
- getGET
- get_attached_modifiersGET
- import_bundlePOST
- intentionGET
- invokePOST
- list_attachmentsGET
- logsGET
- memoriesGET
- memory_deletePOST
- memory_getGET
- pausePOST
- promotePOST
- readmeGET
- readme_updatePOST
- refinePOST
- remove-modifierPOST
- restorePOST
- resumePOST
- revert_to_turnPOST
- run_cancelPOST
- run_getGET
- runsGET
- schemaGET
- sourceGET
- source_branchesGET
- source_promotePOST
- source_repairPOST
- source_statusGET
- source_validatePOST
- statsGET
- treeGET
- updatePATCH
- update_metaPATCH
- versionGET
Ports
Inputs
- requestrequest
- taskrequest
Composition
Errors / when it fails
- allow_delete requires write_globs to be configured
- Fails unless:
len(permissions.write_globs) > 0
Validation rules
- File deletion is enabled - triformer can permanently remove files
- High max_turns (>50) — triformer may consume excessive tokens
- High temperature (>1.0) may produce unreliable outputs
- High max_tokens (>32K) — monitor for cost implications
Triformer (triformer)
Category: agents | Form: | Symbol: Tf
Composable AI agent with tools from attached elements
AI agent that gets its capabilities from attached elements — it has no built-in tools. Attach a platform element to grant tools (workspace, shell, git, web, devtools). Attach prompt elements to inject reusable system prompts (merged by priority). Use the “generate” operation for single-turn tasks, “chat” for conversations. Common mistake: invoking a triformer with no platform element attached — it won’t be able to do anything useful. For coding tasks needing a real terminal, use coder instead.
Guide
Composable AI triformer with tools from attached elements
What It Does
Triformer is a composable AI actor that starts with zero built-in capabilities. Every tool the triformer can use comes from attaching tool elements to it — file-read, shell, web-search, git-ops, delegation, and others. This design means any triformer’s exact capabilities are explicit and auditable from its project. Triformers run in an isolated VM, stream events to the frontend, and maintain conversation history across sessions.
Element Definition
| Property | Value |
|---|---|
| Type | triformer |
| Category | agents |
| Form | atom |
| Symbol | smart_toy / #8B5CF6 |
Properties
| Field | Type | Default | Description |
|---|---|---|---|
brain | string | claude-opus | Brain slug or alias. Use versionless aliases such as claude-opus, claude-sonnet, or claude-haiku; the brain seed resolves the current provider model. |
system_prompt | string | — | System prompt for the triformer |
max_turns | integer | 30 | Maximum LLM turns per invocation (1–100) |
max_tokens | integer | 8192 | Maximum tokens per LLM response |
temperature | number | 0.7 | LLM sampling temperature (0–2) |
top_p | number | — | Nucleus sampling threshold (0–1). Leave unset for provider default |
timeout_ms | integer | 180000 | Maximum execution time in milliseconds |
permissions.read_globs | array | ["**/*"] | Glob patterns for allowed read paths |
permissions.write_globs | array | ["**/*"] | Glob patterns for allowed write paths |
permissions.allow_create | boolean | true | Allow creating new files |
permissions.allow_delete | boolean | false | Allow deleting files |
builder_mode | boolean | false | Enable Triform platform devtools (element CRUD, git, etc.) |
context.max_context_files | integer | 50 | Maximum files to include in context window |
enable_retro | boolean | false | Enable session retrospective after completion |
Ports
| Direction | Port | Type | Required | Description |
|---|---|---|---|---|
| Input | request | request | Yes | Prompt or messages, optional session ID and context |
| Output | task | request | Yes | Triformer task result with status, message, and tool results |
Topology
- Lives in:
agents/triformer/repository - Referenced by: apps
- Accepts modifiers:
rate-limit,auth-policy,api-token,filter-words,evaluator,platform,browser,user-browser,python,javascript,ruby,rust-fn,go-fn,csharp,hitl,prompt,variable - Uses resources:
brain,sql,document,vector,graph,timeseries
Capabilities
| Capability | Description |
|---|---|
streaming | Supports SSE event streaming |
vm-isolation | Executes in isolated VM |
persistence | Conversation persistence across sessions |
composable-tools | Tools come from attached elements, not built-in |
Error Codes
| Code | Class | Retryable | Description |
|---|---|---|---|
TRIFORMER_NO_TOOLS | validation | No | No tool elements attached — triformer has no capabilities |
TRIFORMER_EXECUTION_FAILED | internal | Yes | Triformer execution failed |
TRIFORMER_TIMEOUT | timeout | Yes | Triformer exceeded maximum execution time |
Quick Start
Creating via API
Create a triformer inside a project, then attach the tools you need:
POST /api/{circle}/{project}/
Content-Type: application/json
{
"element_type": "triformer",
"slug": "research-agent",
"name": "Research Agent",
"spec": {
"brain": "claude-opus",
"system_prompt": "You are a research assistant. Search the web and summarize findings clearly.",
"max_turns": 20
}
}
Attach a web search tool:
POST /api/{circle}/{project}/web-search-tool/ops/attach
{ "target_id": "<research-agent-uuid>" }
Basic Usage
Invoke the triformer with a task:
POST /api/{circle}/{project}/research-agent/ops/invoke
Content-Type: application/json
{
"prompt": "Find the latest benchmarks for Rust async runtimes and summarize the top 3."
}
Project Patterns
How Triformer Fits Into Projects
Triformer is the composable alternative to Coder. Where Coder has a rich set of built-in coding tools, Triformer starts empty and gains capabilities only through explicit attachment. This makes it ideal when you need precise control over what an AI can do: a support agent that can only read a knowledge base, a data agent that can only query a specific database, or an orchestrator that can only spawn delegations.
In development stage, triformers run with the latest attached tool definitions. In demo and live stages, they execute from snapshots to ensure consistent behavior.
Example Project Spec
# A support agent that can search docs and answer questions
elements:
- element_type: triformer
slug: support-agent
spec:
brain: claude-opus
system_prompt: |
You are a customer support agent for Acme Corp.
Search the knowledge base to answer questions accurately.
If you cannot find an answer, say so clearly.
max_turns: 10
temperature: 0.3
After creating, attach the tools this triformer is allowed to use:
# Attach web-fetch so triformer can read specific documentation pages
POST /api/{circle}/{project}/docs-fetch/ops/attach
{ "target_id": "<support-agent-uuid>" }
# Attach user-interaction so triformer can ask clarifying questions
POST /api/{circle}/{project}/hitl-tool/ops/attach
{ "target_id": "<support-agent-uuid>" }
Common Patterns
Minimal Read-Only Research Agent
A triformer with only web-search and web-fetch attached cannot modify anything, making it safe to expose to untrusted inputs:
POST /api/{circle}/{project}/
{
"element_type": "triformer",
"slug": "safe-researcher",
"spec": {
"brain": "claude-haiku",
"system_prompt": "Research the topic and return a structured summary.",
"max_turns": 15,
"permissions": {
"write_globs": [],
"allow_create": false,
"allow_delete": false
}
}
}
Delegation Orchestrator
A triformer with delegation attached can spawn sub-agents to handle parallel workstreams:
POST /api/{circle}/{project}/
{
"element_type": "triformer",
"slug": "orchestrator",
"spec": {
"brain": "claude-opus",
"system_prompt": "Break down complex tasks and delegate sub-tasks to specialized agents.",
"max_turns": 50
}
}
Then invoke with a complex task:
POST /api/{circle}/{project}/orchestrator/ops/invoke
{
"prompt": "Analyze the Q4 sales data, identify the top 5 trends, and draft an executive summary.",
"context": {
"available_agents": ["data-analyst", "writer"]
}
}
Attaching Resources
Resources are data elements injected as environment variables into the triformer’s execution context:
POST /api/{circle}/{project}/{resource-slug}/ops/attach
Content-Type: application/json
{ "target_id": "<triformer-element-uuid>" }
| Resource | Environment variable | Use inside triformer |
|---|---|---|
sql | RESOURCE_SQL_{NAME} | Query the database via attached shell or code tools |
vector | RESOURCE_VECTOR_{NAME} | Semantic document search |
files | RESOURCE_FILES_{NAME} | Object storage read/write |
git | RESOURCE_GIT_{NAME} | Repository access |
Applying Modifiers
| Modifier | Use case |
|---|---|
file-read | Let the triformer read files in its workspace |
file-write | Let the triformer write files in its workspace |
shell | Let the triformer run shell commands |
web-search | Let the triformer search the web |
web-fetch | Let the triformer fetch specific URLs |
git-ops | Let the triformer perform git operations |
browser | Let the triformer control a headless browser |
delegation | Let the triformer spawn sub-agent tasks |
user-interaction | Let the triformer ask the user clarifying questions |
evaluator | Auto-evaluate triformer output before completing |
api-token | Grant access to Triform platform devtools (for builder_mode) |
Common Mistakes
Invoking a triformer with no tools attached.
A triformer with no tool modifiers attached returns TRIFORMER_NO_TOOLS immediately. At minimum attach one tool element before invoking.
Confusing tool elements with resource elements.
Tool elements go in attaches: (they give the triformer capabilities). Data resource elements go in uses: (they provide env vars). Attaching a sql element gives the triformer a connection string in its environment — but the triformer still needs a shell or code-search tool modifier to actually use it.
Triformer is the universal AI actor.
Triformer is the composable AI element — attach tool elements to give it capabilities. For code execution, attach shell and file-write tool elements. For browsing, attach browser. The triformer’s capabilities are entirely defined by its attached tools.
Workflows
setup-agent
Set up an AI agent with tools and start using it
- Attach platform tools - Grants workspace, shell, git, web, and devtools capabilities
triform_element(action: "create", element_type: "platform", name: "{slug}-tools") - Choose a brain - Set spec.brain to any model available in your circle’s labs
triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { brain: "claude-opus" } }) - Add a system prompt - Attach prompt elements to inject reusable instructions (merged by priority)
triform_element(action: "create", element_type: "prompt", name: "{slug}-prompt") - Start chatting - The agent is ready — start a conversation
triform_ops(action: "call", slug: "{slug}", operation: "chat", input: { message: "Hello" })
data-pipeline-agent
Build an agent that processes data from attached sources
- Create a data source - Create a SQL, document, or vector element
triform_element(action: "create", element_type: "sql", name: "pipeline-db") - Attach platform tools
triform_element(action: "create", element_type: "platform", name: "{slug}-tools") - Set brain and system prompt
triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { brain: "claude-opus", system_prompt: "You are a data analyst..." } }) - Chat with data context
triform_ops(action: "call", slug: "{slug}", operation: "chat", input: { message: "Analyze the data in the attached database" })
State Guidance
| State | Guidance | Next actions |
|---|---|---|
draft | Agent is in draft. Attach a platform tool and a brain before transitioning to ready. | Attach platform tools: triform_element(action: "create", element_type: "platform", name: "{slug}-tools")Set brain: triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { brain: "claude-opus" } }) |
error | Agent encountered an error. Check logs and reset to ready. | Reset to ready: triform_ops(action: "call", slug: "{slug}", operation: "lifecycle", input: { target_state: "ready" }) |
ready | Agent is ready. Start a conversation or run a single-turn task. | Chat: triform_ops(action: "call", slug: "{slug}", operation: "chat", input: { message: "Hello" })Generate: triform_ops(action: "call", slug: "{slug}", operation: "generate", input: { prompt: "..." }) |
running | Agent is currently executing. Wait for completion or check status. |
Authoring Hints
| Field | Help | Example |
|---|---|---|
brain | Brain (model). The conscious brain — main LLM for conversations and tool use. Pick any model available in your circle’s labs. | claude-opus |
max_tokens | Max tokens. Maximum tokens per response. Model-dependent upper bound. Default 8192. | `` |
max_turns | Max turns. Maximum LLM request/response cycles per invocation. Default 30. | `` |
subconscious.enabled | Subconscious enabled. Master switch for all subconscious facets (memory, knowledge, emotions). | `` |
subconscious_brain | Subconscious brain. Default brain for all subconscious facets (knowledge, memory, emotions). Should be fast and cheap. | `` |
system_prompt | System prompt. Instructions defining the agent’s personality and behavior. Stored as system-prompt.md in workspace. | You are a helpful assistant... |
temperature | Temperature. Sampling temperature: 0 = deterministic, 2 = maximum creativity. Leave unset for model default. | `` |
Error Recovery
| Error | Recovery guidance | Next actions |
|---|---|---|
auth | Brain authentication failed. The lab’s API key may be missing or expired. | Check lab configuration: triform_element(action: "list", element_type: "lab") |
brain_not_found | The specified brain was not found. Check that the model exists in an accessible lab. | List available brains: triform_element(action: "list", element_type: "brain")Use default brain: triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { brain: "claude-opus" } }) |
no_tools | Agent has no tools attached. Without a platform element, the agent cannot perform any actions. | Attach platform tools: triform_element(action: "create", element_type: "platform", name: "{slug}-tools") |
timeout | Agent execution timed out. The task may be too complex for the configured turn limit. | Increase max turns: triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { max_turns: 60 } })Increase timeout: triform_ops(action: "call", slug: "{slug}", operation: "update", input: { spec: { timeout_ms: 300000 } }) |
Relationships
- Attaches to: rate-limit, auth-policy, api-token, filter-words, evaluator, platform, chromeless, user-browser, python, javascript, ruby, rust-fn, go-fn, csharp, hitl, prompt, variable
- Uses: brain, sql, document, vector, graph, timeseries
Capabilities
- companion: Can serve as an interactive companion in the workspace
- conversational: Supports conversation sessions with message history
- streaming: Supports SSE event streaming
- vm-isolation: Executes in isolated VM
- persistence: Conversation persistence across sessions
- composable-tools: Tools come from attached elements, not built-in
- public-access: Can serve conversations to unauthenticated guest visitors
- awareness: Receives contextual signals from UI and other elements
Properties
| Property | Type | Default | Description |
|---|---|---|---|
brain | string | "" | The main LLM for conversations, reasoning, and tool use. |
mouth | string | "" | Mouth element (TTS voice bank) this agent speaks through. Leave empty to use the circle default. |
mouth_config | object | {} | Mouth-specific configuration — the sub-form is rendered by the AgentVoiceConfigurator based on the selected mouth’s voice_mode. Typical shapes: cloning → { “voice_id”: “ preset → { “preset”: “alloy” } instruction → { “instruction”: “warm British narrator…” } Cleared automatically when mouth is unset. |
ears | string | "" | Ears element (STT transcriber) this agent hears through. Leave empty for the circle default. |
max_turns | integer | 30 | Maximum LLM turns per invocation. Each turn is one request/response cycle. |
timeout_ms | integer | 180000 | Maximum execution time in milliseconds (1s to 1h) |
coordinator | boolean | false | Whether this agent acts as a team coordinator (loads 9-section coordinator system prompt and task delegation tools) |
enable_retro | boolean | false | Enable session retrospective after completion |
enable_thinking | boolean | false | Enable extended/chain-of-thought reasoning. Default OFF for snappy chat. When true: Claude/MiniMax-M2 get a thinking budget (max_tokens/2, capped at 10240); GLM/Kimi keep their provider-default thinking behaviour. When false: explicitly disabled on GLM/Kimi via thinking: {type: disabled}. Phone path always disables regardless (12-17s silence is unacceptable on a call). |
max_tokens | integer | 8192 | Maximum tokens per LLM response. Model-dependent upper bound. |
temperature | number | 1.0 | LLM sampling temperature. 0 = deterministic, 2 = maximum creativity. |
top_p | number | — | Nucleus sampling threshold. |
system_prompt | string | "" | System prompt for the agent. Overridden by attached prompt elements. |
permissions | object | — | Controls which files the triformer can read and write within its workspace |
subconscious_brain | string | — | Default brain for all subconscious facets. Individual brains in subconscious_brains can override this. |
subconscious_brains | array | — | N independent subconscious brains — each with its own model, capabilities, and activation rules. When present, the flat brain pickers (subconscious_brain, knowledge_brain, etc.) and the subconscious object are used as fallback only. |
subconscious | object | — | The agent’s subconscious — parallel processes that run alongside the conscious stream. Each facet operates independently using a fast brain. Configure via ‘Show raw data’ for advanced facet tuning. |
awareness | object | — | Configure which contextual signals this triformer responds to. Signals are emitted by UI components and other elements, routed to the triformer’s subconscious or conscious mind. |
paused | boolean | false | Set by pause op. While true, the agent’s tool-call loop defers new LLM requests. Cleared by resume op. |
pause_reason | string | "" | Free-text reason recorded when the agent was paused. Consumed by HITL and driver-signal. |
paused_at | string | "" | RFC3339 timestamp of the most recent pause transition. Empty when not paused. |
public_access | object | — | Pre-authentication guest access. Managed at the platform level, not per-agent. |
Operations
activity
Get /ops/activity | Auth: Read
Get activity events for this element
Scope depends on element capabilities: individual elements query by element_id, project-form elements with activity-scope-members include member activities, circle-level elements with activity-scope-all query the entire circle. Gracefully returns empty list if activities table is missing (old circles).
answer_question
Post /ops/answer_question | Auth: Execute
Deliver an answer to a pending HITL question from this triformer
Resolve a pending HITL question from the triformer. Requires question_id and answer string. The agent loop blocks on a oneshot channel until this is called. Questions appear in agent events with type ask_question.
attach
Post /ops/attach | Auth: Read
Attach this actor to a target element
Call this ON the modifier/resource element, passing target_id of the actor. The target’s contract.yaml must declare the modifier kind in attaches: or uses:. Priority controls evaluation order for modifiers (lower = first).
attachments
Get /ops/attachments | Auth: Read
List all modifiers and resources attached to this element
Returns both modifiers (policy enforcement) and resources (data injection) with is_modifier flag to distinguish. Items in the generated MODIFIER_TYPES list are modifiers; everything else is a resource. Includes cascade_policy and version pin info.
batch_stats
Get /ops/batch_stats | Auth: Read
Get per-element statistics for all children of this element
Returns per-child stats plus an aggregate. Most meaningful on compound or manifest form elements (repositories, circles, projects); atoms have no children so the result is an empty children array with a zeroed aggregate. Uses efficient GROUP BY SQL. Weighted averages for eval scores.
cancel_delegation
Post /ops/cancel_delegation | Auth: Execute
Cancel a delegated task (A2A-aligned, idempotent)
Cancel a pending or running delegation. Idempotent — cancelling an already-terminal delegation is a no-op.
chat
Post /ops/chat | Auth: Execute
OpenAI-compatible chat completion using the triformer’s model and system prompt
OpenAI-compatible chat endpoint. Send messages array with role/content pairs. Supports multi-turn conversation with full message history. Use this for chat-style interactions; use generate for task-oriented single-turn execution.
compose
Post /ops/compose | Auth: Execute
Batch add and remove modifiers on this element in a single call
Declarative composition: add modifiers by ref path (slug or path@version) and remove by attachment ID, all in one atomic call on the target element. Each ‘add’ entry resolves the source element, validates topology, attaches with optional priority and cascade policy. Each ‘remove’ entry deletes the attachment row. Returns a summary of what was added and removed. Example: compose({ add: [{ref: “my-prompt”}, {ref: “rate-limit/api@v2”, priority: 50}], remove: [{attachment_id: “uuid”}] })
context
Get /ops/context | Auth: Read
Get connected elements (graph traversal)
Graph traversal showing all connected elements with their relationship type (contains, contained_by, references, referenced_by, attaches, etc.). Use ?depth=N to control traversal depth (default 1) and ?types=actor,data to filter by element types.
create
Post /ops/create | Auth: Write
Create child element
POST to the parent path — element_type goes in the request body, NOT the URL. Both element_type and slug are required and must be non-empty. Name is derived from slug if omitted. Writes to both Git and PostgreSQL. All elements are stored flat under the circle — no intermediate library wrapper rows.
delegate
Post /ops/delegate | Auth: Execute
Delegate a task to another actor element (fire-and-forget)
Dispatch a task to another agent element. Requires target (element path or slug) and prompt. The delegation is circle-scoped and A2A-aligned. Returns delegation_id for status tracking. Target must be an agent-type element in the same circle.
delegation_status
Post /ops/delegation_status | Auth: Execute
Check the status of a delegated task
Check status of a delegated task. Requires delegation_id. Terminal states (completed, failed, cancelled) are immutable.
delete
Delete /ops/delete | Auth: Admin
Delete element (soft delete)
Soft delete — sets state to ‘deleted’ but retains the record. Cannot delete elements that have children (has_no_bond precondition) or active runs. Requires admin auth and confirmation.
detach
Post /ops/detach | Auth: Read
Detach this actor from a target element
disable
Post /ops/disable | Auth: Admin
Disable element (hides and prevents use)
Idempotent — safe to call on already-disabled elements. Optionally pass a reason string. Disabled elements cannot be invoked or executed. Inverse of enable.
enable
Post /ops/enable | Auth: Admin
Enable element (makes usable and visible)
Idempotent — safe to call on already-enabled elements. Transitions element to ready/enabled state. Cannot enable deleted elements. Inverse of disable.
export_bundle
Get /ops/export/bundle | Auth: Read
Export element as downloadable git bundle
On non-root-namespace elements, returns a binary git bundle. On root-namespace (circle) elements, dispatch hands off to the circle’s own export_bundle op, which returns a multi-element JSON envelope with one base64 bundle per child element — this is intentional, not an error.
generate
Post /ops/generate | Auth: Execute
Run the triformer with a prompt
Main entry point for single-turn execution. Requires prompt field. Returns generation_id for tracking. Model defaults to claude-opus. Tools are resolved from attached modifiers at session start. Events stream via NATS on circle.{circle_id}.agent.{element_id}.{generation_id} channel. Use session_id to group related generations.
generation_get
Get /ops/generations/{generation_id} | Auth: Read
Get a specific generation with full output
Get full details of a specific generation including prompt, response, tool calls, token usage, and duration. Requires generation_id in input.
generations
Get /ops/generations | Auth: Read
List triformer generation history
Lists generation history with pagination. Filter by ?session_id to see all generations in a conversation. Returns generation_id, status, model, created_at for each entry.
get
Get /ops/get | Auth: Read
Get element details
Element is already resolved by the routing layer — this returns the cached element, not a fresh DB query. Use the path /api/{circle}/{slug} to address elements.
get_attached_modifiers
Get /ops/attached | Auth: Read
Get elements that are attached to this actor
import_bundle
Post /ops/import/bundle | Auth: Write
Import git bundle into element
Accepts a base64-encoded git bundle in the JSON bundle_base64 field. Use overwrite=true to replace existing elements with same slug (default skips duplicates). Imported elements get new UUIDs. Returns counts of imported/skipped elements and any errors.
intention
Get /ops/intention | Auth: Read
Get element intention with full inheritance chain
Returns three levels: direct (this element’s intention), inherited (from category and root), and resolved (final merged intention). Useful for understanding an element’s purpose in context of its hierarchy.
invoke
Post /ops/invoke | Auth: Execute
Invoke the actor with input
Always include data:{} even for no-input actors. Use ?stream=true for streaming output (agents support this). Use ?async=true to get a run_id immediately and poll via run_get. Input must match the actor’s port schema (check via schema operation). Creates a run record in execution history.
list_attachments
Get /ops/targets | Auth: Read
List all elements this agent is attached to
Returns all target elements where this agent is currently attached. Shows target_id, target_type, priority, and cascade_policy.
logs
Get /ops/logs | Auth: Read
Get execution logs
memories
Get /ops/memories | Auth: Read
List the triformer’s subconscious memories
Lists durable memories stored by the triformer’s subconscious system. Memories are automatically created, updated, and deleted by the subconscious evaluator — they cannot be consciously edited by the triformer. Filter by category (fact, preference, procedure, context, correction) or search by content.
memory_delete
Post /ops/memory_delete | Auth: Write
Delete a specific memory
Permanently remove a memory from the triformer’s subconscious. This is an administrative action — the triformer itself never consciously manages memories.
memory_get
Get /ops/memories/{memory_id} | Auth: Read
Get a specific memory with metadata
pause
Post /ops/pause | Auth: Execute
Suspend the triformer’s tool-call loop; state persists across restart
Pauses the triformer at the next turn boundary. The agent loop polls spec.paused each turn; while paused, no new LLM requests are submitted. Any in-flight tool call completes; pause is observed at the next turn. Safe to call when no run is active — it just sets persistent state. Optional reason is a short free-text hint consumed by HITL and driver-signal. Idempotent: calling pause on an already-paused triformer refreshes reason and paused_at.
promote
Post /ops/promote | Auth: Admin
Promote element configuration to a target environment
Only for manifest-form elements (projects). Environments advance: dev → demo → live. dev→demo requires member+ role, demo→live requires admin. Freezes member versions at promotion time (creates snapshot). Persists environment config to spec.environments.
readme
Get /ops/readme | Auth: Read
Get element README.md content
Reads README.md from the element’s git repository. Returns empty content (not an error) if no README exists. Always returns markdown format.
readme_update
Post /ops/readme_update | Auth: Write
Update element README.md content
Creates or overwrites README.md in the element’s git repo. Commits to the draft branch. Content must be provided as a markdown string.
refine
Post /ops/refine | Auth: Execute
Iteratively refine a previous generation with feedback
Continue from a previous generation. Requires generation_id (from a prior generate) and prompt. Appends to the existing conversation context. Useful for iterative refinement without losing prior tool call history.
remove-modifier
Post /ops/remove-modifier | Auth: Execute
Remove an attached modifier from this element by attachment ID
Removes a modifier/resource attachment by its row ID. The ID comes from the attachments or context API. This is the reverse of attach — called on the target element, not the source.
restore
Post /ops/restore | Auth: Admin
Restore element to a specific version
Automatically snapshots the current state before restoring (creates a ‘Before restore to vN’ version entry). Writes restored spec to git as .triform/spec.yaml. Git failures warn but don’t fail the operation — DB state is authoritative. Cannot restore deleted elements.
resume
Post /ops/resume | Auth: Execute
Clear the triformer’s paused state
Resumes a paused triformer. Does not restart a stopped run — it only clears the pause flag so the next turn (or the next generate/chat call) proceeds normally. Idempotent: resuming a non-paused triformer is a no-op and returns paused=false.
revert_to_turn
Post /ops/revert_to_turn | Auth: Execute
Revert the workspace to the state captured at a specific turn
Roll back conversation to a specific turn number, discarding subsequent turns. Useful for correcting agent mistakes without starting over.
run_cancel
Post /ops/runs/{run_id}/cancel | Auth: Execute
Cancel a running execution
Only works on runs with status pending or running. Already-completed or failed runs cannot be cancelled. The run transitions to cancelled state and triggers run.cancelled event.
run_get
Get /ops/runs/{run_id} | Auth: Read
Get details of a specific run
runs
Get /ops/runs | Auth: Read
List execution runs
Filter with ?status=completed|failed|running, paginate with ?limit=N&offset=N. Default limit is 50. Returns total count for pagination.
schema
Get /ops/schema | Auth: Read
Get input/output port schemas (MCP tools/list compatible)
Call this before invoking an actor to discover its expected input/output format. Returns MCP-compatible tool definitions — useful for building dynamic tool UIs or A2A integration.
source
Get /ops/source | Auth: Read
Get any file’s content from the element’s git repository
Reads an arbitrary file from the element’s CAS-backed git tree by its relative path. Same store as
readme, just generalized. Path safety: rejects..traversal, leading/, and null bytes. Use this to viewmain.pyfor action elements, asset files for SPAs, etc. Returns empty content (not an error) if the file doesn’t exist.
source_branches
Get /ops/source/branches | Auth: Read
List Source branches for this element
Returns the standard draft/demo/live Source branches, their current commits, and promotion relationships. Use GET /api/{element_path}/ops/source/branches.
source_promote
Post /ops/source/promote | Auth: Write
Promote Source branch forward
Promotes draft to demo or demo to live through the generated element op path. Direct Git pushes to demo/live are blocked by Source policy.
source_repair
Post /ops/source/repair | Auth: Write
Inspect or repair the element Source index
Runs Source repair through the element operation path. Defaults to dry_run=true; set dry_run=false only after reviewing a dry-run report.
source_status
Get /ops/source/status | Auth: Read
Get Source control status for this element
Returns the branch-aware clone URL, checkout commands, current draft commit, child source-link count, portable export summary, Source health, warnings, and auth hints for the addressed element. Use the element-first path: GET /api/{element_path}/ops/source/status.
source_validate
Post /ops/source/validate | Auth: Read
Validate Source branch contents
Validates a Source branch before accepting local Git workflow changes or promotion. Defaults to branch=draft and rejects runtime data, generated output, secret material, and unreadable CAS refs.
stats
Get /ops/stats | Auth: Read
Get aggregate statistics for this element
Health status is computed: error if errors_per_day > 5 or success_rate < 0.8, warning if errors_per_day > 0 or success_rate < 0.95. Firing alerts escalate health to error/warning. Default period is ‘day’. Returns runs_per_day, success_rate, avg_duration_ms, and more.
tree
Get /ops/tree | Auth: Read
Get the element’s position in the graph — ancestors, children, references, and subtree statistics
Uses per-circle ElementGraph cache for O(1) lookups. Returns ancestors (containment chain), children (direct), members (references), referenced_by (reverse refs), attachments, and subtree stats. Default depth is 3, max is 10. Pass ?include_metadata=true for name/state on each node.
update
Patch /ops/update | Auth: Write
Update element
Partial update — send only the fields you want to change.
spec,name, andintentionare all independently optional.specMUST be a JSON object when present; deep-merged into the existing spec by default. Empty{"spec":{}}preserves existing spec content but still records a new version (no-op for content, not for version state). To clear/replace the entire spec wholesale send{"spec":{...},"deep":false}. List-typed spec fields use replace semantics (the patch list replaces the existing list, no array merging). Coordinates Git + DB writes. Slug cannot be changed after creation.
update_meta
Patch /ops/update_meta | Auth: Write
Update element metadata (lightweight merge — does NOT bump version or snapshot spec)
Shallow JSONB merge into element.meta. Top-level keys in the provided value replace existing meta values; other keys are preserved. Used for UI metadata like canvas positions, panel state, viewer preferences. Wire-shape op_name is
update_meta(distinct fromupdate) so SSE subscribers + the cache auto-invalidator can distinguish lightweight metadata changes from spec edits without inspecting the payload. The MutatingElementStore wrapper stamps this op_name on the lifecycle event emitted byupdate_element_metastorage calls.
version
Get /ops/version | Auth: Read
Get current version or full history
Returns current version by default. Pass ?history=true for full version history (up to ?limit=N, default 50). Versions are backed by the element_versions table. Every spec update creates a new version entry.
Error Codes
| Code | Class | Retryable | Description |
|---|---|---|---|
TRIFORMER_NO_TOOLS | validation | no | No tool elements attached — triformer has no capabilities |
TRIFORMER_EXECUTION_FAILED | internal | yes | Triformer execution failed |
TRIFORMER_TIMEOUT | timeout | yes | Triformer exceeded maximum execution time |
Lifecycle / runtime
Defined for this element
Before invoke
- validate_input
- resolve_brain
- resolve_tool_elements
- check_rate_limit
After invoke
- record_metrics
- emit_traces
On error
- log_error
- record_error_metric
Observability
Defined for this element
Metrics
- session_count
- session_duration_ms
- llm_tokens_used
- tool_calls_count
- files_modified
- error_rate
Events
- triformer.session.*
- triformer.tool.*
- triformer.generation.*
Pricing / cost
Inherited from agents
Operation costs
- invoke: 10000 micro-AU
Set it up
- Brainstring
- Which LLM model powers this agent?
- System Promptstring
- Define the agent's personality and instructions
- Subconsciousstring
- Enable parallel subconscious processes (emotions, memory, knowledge)
- Subconscious Brainstring
- Fast brain for subconscious evaluation (runs in parallel)
- Prompt Templatesstring
- Attach reusable prompts from the library
Skill pack
Bundled agent skill pack(s) for this element. Download the docs + skills kit:
Download kit.zip- iterative-code-edit
iterative-code-edit - research-deep-dive
research-deep-dive - test-evaluator-design
test-evaluator-design