Brain
A single LLM model — Claude, GPT, Mistral, and the rest — pinned to its identity, context window, capabilities, and pricing, living inside a Lab so that any agent can name it and have the platform resolve the right provider connection behind the scenes.
Working with it
Selecting a Brain reveals its settings in the properties panel; it has no dedicated full-screen workbench.
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
- Adding a custom or fine-tuned model to a Lab — your own or a platform one — so agents in your circle can select it by slug, alias, or model ID.
- Overriding a model's parameter constraints (temperature, top_p ranges) for one specific model without touching the rest of the Lab.
- Verifying credentials and connectivity with the `test` op before you assign a model to an agent in production.
- Exposing one specific model as a standalone OpenAI-compatible endpoint via a bonded api-token, without routing through the whole Lab.
When not to use
- Connecting to a provider (Anthropic, OpenAI) and holding its credentials — that is the parent `lab`; a brain only exists inside one and cannot resolve on its own.
- Just using a stock model — the platform circle already seeds tested brains for every major provider, so you rarely create one by hand.
- Building the agent that does the work — a brain is the model an agent references, not the agent itself (see claude-code, codex, triformer).
Topology
Lives nested inside a parent element rather than standing alone — it is created in the context of its container.
Properties
model_idstring- Model identifier sent to the provider API (e.g. claude-sonnet-4-6, gpt-4o)
aliasesarray- Alternative identifiers that resolve to this brain (e.g. claude-sonnet)
context_lengthinteger- Maximum input context window in tokens
max_output_tokensinteger- Maximum output tokens per response
pricingobject- Cost per million tokens (USD)
embedding_dimensionsinteger- Output embedding vector dimensions. Declares the halfvec column size for vector storage. Required for embedding models.
toolsboolean- Supports tool/function calling
visionboolean- Supports image inputs
streamingboolean- Supports streaming responses
extended_thinkingboolean- Supports extended thinking / chain-of-thought mode
image_generationboolean- Supports text-to-image generation
ttsboolean- Supports text-to-speech synthesis
video_generationboolean- Supports text-to-video generation
music_generationboolean- Supports text-to-music generation
max_tokensinteger- Default max tokens per response. Agents using this brain inherit this value.
temperaturenumber- Default sampling temperature. 0 = deterministic, 2 = maximum creativity. Leave unset to use the model's recommended default.
top_pnumber- Default nucleus sampling threshold. Leave unset to use provider default.
Capabilities
Defined for this element
- Observe
Operations
- activityGET
- attachmentsGET
- batch_statsGET
- composePOST
- contextGET
- createPOST
- deleteDELETE
- disablePOST
- enablePOST
- export_bundleGET
- getGET
- import_bundlePOST
- infoGET
- intentionGET
- promotePOST
- readmeGET
- readme_updatePOST
- remove-modifierPOST
- restorePOST
- schemaGET
- sourceGET
- source_branchesGET
- source_promotePOST
- source_repairPOST
- source_statusGET
- source_validatePOST
- statsGET
- testPOST
- treeGET
- updatePATCH
- update_metaPATCH
- versionGET
Ports
Inputs
- inforequest
Composition
Errors / when it fails
- model_id is required — this is what gets sent to the provider API
Validation rules
- No context_length set — the runtime won't be able to validate request size
- No pricing set — cost tracking won't work for this brain
Brain (brain)
Category: intelligence | Form: | Symbol: Bn
An LLM model within an Intelligence Lab
A Brain is a specific AI model (e.g. Claude Sonnet 4.6, GPT-4o, Mistral Large) inside an Intelligence Lab. Platform labs come with pre-configured brains that are tested and ready to use. You can add custom brains to any lab — your own or a platform lab. Agents select a brain by ID; the runtime finds the lab that contains it and handles the connection.
Guide
A specific LLM model (Claude Opus, GPT-4o, Mistral Large) that agents reference for chat completions
What It Does
A Brain represents a single LLM model within a Lab (provider). It defines the model’s identity, capabilities, context window, pricing, and optional parameter overrides. When an agent needs to make an LLM call, it references a brain — either by slug, alias, or model ID — and the platform resolves that reference to a fully-configured connection through the brain’s parent lab.
Brains are atoms: they have no children. They always live inside a Lab element, which provides the API endpoint and credentials.
Element Definition
| Property | Value |
|---|---|
| Type | brain |
| Category | intelligence |
| Form | atom |
| Symbol | Br / #A855F7 |
Properties
| Field | Type | Default | Description |
|---|---|---|---|
model_id | string | — | Required. Model identifier sent to the provider API (e.g., claude-sonnet-4-6, gpt-4o) |
aliases | array | [] | Alternative names that resolve to this brain (e.g., ["claude-sonnet"]) |
context_length | integer | — | Maximum input context window in tokens |
max_output_tokens | integer | — | Maximum output tokens per response |
pricing.input_per_mtok | number | — | Cost per million input tokens (USD) |
pricing.output_per_mtok | number | — | Cost per million output tokens (USD) |
tools | boolean | true | Supports tool/function calling |
vision | boolean | false | Supports image inputs |
streaming | boolean | true | Supports streaming responses |
extended_thinking | boolean | false | Supports extended thinking / chain-of-thought |
parameter_overrides | object | {} | Brain-specific overrides for temperature, top_p, top_k, etc. |
Topology
- Lives in: a
labelement (must be a direct child) - Referenced by: agents via
brainin their spec - Accepts modifiers:
rate-limit,audit
Brain Resolution
Agents reference brains via brain — a string that can be a slug, alias, or model_id. The platform resolves it in this order:
- Slug match in the caller’s circle (via ElementResolver)
- Alias or model_id match in the caller’s circle
- Slug match in the platform circle (fallback)
- Alias or model_id match in the platform circle
This means user-created brains in their own circle take priority over platform defaults. The platform circle provides pre-configured brains for all major providers so every agent has working LLM access out of the box.
What Resolution Returns
The resolver produces a complete connection tuple: model_id + protocol + base_url + api_key — everything needed to make an API call. The agent never sees credentials directly; they’re decrypted at resolution time and injected into the LLM request.
Quick Start
Creating via API
POST /api/{circle}/{lab-element}/
Content-Type: application/json
{
"element_type": "brain",
"slug": "claude-sonnet",
"name": "Claude Sonnet 4.6",
"spec": {
"model_id": "claude-sonnet-4-6",
"aliases": ["claude-sonnet", "sonnet"],
"context_length": 200000,
"max_output_tokens": 64000,
"pricing": {
"input_per_mtok": 3.0,
"output_per_mtok": 15.0
},
"tools": true,
"vision": true,
"streaming": true,
"extended_thinking": true
}
}
Referencing from an Agent
In the agent’s spec, set brain to any of the brain’s identifiers:
# Any of these work — resolution tries slug → alias → model_id
brain: "claude-sonnet" # slug
brain: "sonnet" # alias
brain: "claude-sonnet-4-6" # model_id
Operations
| Operation | Method | Auth | Description |
|---|---|---|---|
info | GET | viewer | Get brain metadata: model_id, context_length, capabilities, pricing |
test | POST | operator | Send a test prompt to verify the brain works through its parent lab |
Test Operation
POST /api/{circle}/{lab}/{brain}/ops/test
{
"prompt": "Say hello in one word."
}
Returns the model’s response plus latency and token usage, useful for verifying credentials and connectivity before assigning the brain to an agent.
Parameter Overrides
A brain can override any parameter constraint set by its parent lab. The constraint system is constrain-only — it never force-sets defaults, only:
- Strips parameters the provider doesn’t support
- Clamps values to valid ranges
- Enforces provider quirks (e.g., Anthropic’s mutual exclusion of temperature and top_p)
{
"parameter_overrides": {
"temperature": { "default": 0.7, "min": 0.0, "max": 1.0 },
"top_p": { "min": 0.0, "max": 1.0 }
}
}
Model Catalogs
Platform brains are seeded from YAML catalogs in chemistry/elements/intelligence/brains/{provider}/.triform/catalog.yaml. These define the full brain inventory for each lab (Anthropic, OpenAI, Mistral, Gemini, Groq, Bedrock, Replicate, and more). You typically don’t need to create brains manually — the platform seeds them at startup.
Common Mistakes
Missing parent lab. A brain must be a child of a lab element. Creating a brain at the project level won’t work — there’s no provider connection to resolve.
Wrong model_id format. Use the exact model identifier the provider expects (e.g., claude-sonnet-4-6, not Claude Sonnet). Check the provider’s API docs or the model catalog.
Confusing brain with brain ID. Agents use brain (a human-readable slug, alias, or model_id). The platform resolves this to the internal brain element UUID — you never set brain to a UUID.
Expecting parameter defaults to be applied. The constraint system strips and clamps but never injects defaults. If an agent doesn’t send temperature, the provider uses its own default — the brain’s parameter_overrides.temperature.default is only used by UI model selectors.
Relationships
- Attaches to: rate-limit
Capabilities
- chat-completion: Can perform chat completions
- tool-use: Supports tool/function calling (when brain.tools = true)
- vision: Supports image inputs (when brain.vision = true)
- streaming: Supports streaming responses (when brain.streaming = true)
- image-generation: Supports text-to-image generation (when brain.image_generation = true)
Properties
| Property | Type | Default | Description |
|---|---|---|---|
model_id | string | — | Model identifier sent to the provider API (e.g. claude-sonnet-4-6, gpt-4o) |
aliases | array | — | Alternative identifiers that resolve to this brain (e.g. claude-sonnet) |
context_length | integer | 128000 | Maximum input context window in tokens |
max_output_tokens | integer | 8192 | Maximum output tokens per response |
pricing | object | — | Cost per million tokens (USD) |
embedding_dimensions | integer | — | Output embedding vector dimensions. Declares the halfvec column size for vector storage. Required for embedding models. |
tools | boolean | true | Supports tool/function calling |
vision | boolean | false | Supports image inputs |
streaming | boolean | true | Supports streaming responses |
extended_thinking | boolean | false | Supports extended thinking / chain-of-thought mode |
image_generation | boolean | false | Supports text-to-image generation |
tts | boolean | false | Supports text-to-speech synthesis |
video_generation | boolean | false | Supports text-to-video generation |
music_generation | boolean | false | Supports text-to-music generation |
max_tokens | integer | 8192 | Default max tokens per response. Agents using this brain inherit this value. |
temperature | number | — | Default sampling temperature. 0 = deterministic, 2 = maximum creativity. Leave unset to use the model’s recommended default. |
top_p | number | — | Default nucleus sampling threshold. Leave unset to use provider default. |
parameter_overrides | object | — | Brain-specific parameter constraints that override lab defaults |
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).
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.
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.
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.
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.
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.
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.
info
Get /ops/info | Auth: Read
Get brain metadata, capabilities, and pricing
Returns this brain’s model ID, context length, capabilities, and pricing. Used by the model selector UI and for agent configuration.
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.
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.
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.
schema
Get /ops/schema | Auth: Read
Get element input/output schema (MCP tools/list compatible)
Returns type-level port schemas from the TypeRegistry — not instance-specific overrides. Includes direction (input/output), required flag, and JSON schema per port. Useful for understanding what data an element accepts and produces.
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.
test
Post /ops/test | Auth: Execute
Send a test prompt to verify this brain works
Sends a minimal chat completion to verify the brain responds correctly through its parent lab’s connection. Returns response and latency.
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 |
|---|---|---|---|
BRAIN_UNAVAILABLE | internal | yes | Brain’s parent lab is unreachable or in error state |
BRAIN_CONTEXT_EXCEEDED | validation | no | Request exceeds this brain’s context window |
BRAIN_UNSUPPORTED_FEATURE | validation | no | Requested feature (vision, tools) not supported by this brain |
Observability
Defined for this element
Metrics
- request_count
- request_duration_ms
- token_usage_input
- token_usage_output
- cost_usd
- error_rate
Events
- brain.request.completed
- brain.request.failed
Set it up
- Model IDstring
- Model identifier sent to the provider (e.g., gpt-4o, claude-sonnet-4-6)
- Context Lengthstring
- Maximum input tokens
- Capabilitiesstring
- What this model can do