---
title: Agent trajectory timeline
summary: Log every tool call an agent makes as a timestamped step, then read the last N, the next page, and everything since a cutoff, with constraints that keep newest-first reads correct.
level: Intermediate
category: Agent memory
features: [relationship property type constraints, relationship property existence constraints, SHOW CONSTRAINTS, MERGE, "ORDER BY … LIMIT", SKIP, LET, FILTER, epochMillis, datetime.fromEpochMillis, DROP CONSTRAINT]
browser: full
dataset: 121 steps an agent logged in three sessions, each with a kind, the tool it called, a line of text, a timestamp, and a token count (20 KB)
source: Synthetic, generated with a fixed seed by the examples project's 11-trajectory-timeline/generate.py
license: Apache-2.0
---
# Agent trajectory timeline
*An agent runtime appends one step per tool call to a session's timeline.
On every turn it asks for the last few steps, the page before those, and
everything since a cutoff; a supervisor asks for the newest steps across all
sessions. Four constraints make those newest-first reads correct by
construction, and one statement migrates a timeline that was written the
other way.*
The graph is
`(:Session {id})-[:STEP {ts, seq, tokens}]->(:Step {id, kind, text, at})-[:CALLED]->(:Tool {name})`.
`ts` is the sort key: epoch milliseconds, stored as an integer. `at` keeps the
same instant as a datetime for display. `tokens` sits on the relationship, so
a budget read never touches the `Step` nodes. The catalog of problems relate
solves lists this pattern as the
[agent trajectory timeline](/docs/concepts/problems-relate-solves#agent-trajectory-timeline).
```mermaid
flowchart LR
accTitle: Data model: a session's steps, each calling one tool
accDescr {
A Session links to each of its Step nodes by a STEP relationship that
carries an integer timestamp, a sequence number and a token count. Each
Step has a kind, text and time, and a CALLED relationship to the one Tool
it used.
}
Session(("Session
id")) -- "STEP
ts (integer) · seq · tokens" --> Step(("Step
id · kind · text · at"))
Step -- "CALLED" --> Tool(("Tool
name"))
class Session l1
class Step l2
class Tool l3
```
## Lock the timeline down
Four constraints. `session_id` makes the per-session anchor one node, and
`tool_name` lets `MERGE` keep one node per tool, so a read that hops on to the
tool cannot fan out. The last two say that every `STEP` has a `ts`, and that it
is an integer.
```cypher cell=schema
CREATE CONSTRAINT session_id IF NOT EXISTS FOR (s:Session) REQUIRE s.id IS UNIQUE;
CREATE CONSTRAINT tool_name IF NOT EXISTS FOR (t:Tool) REQUIRE t.name IS UNIQUE;
CREATE CONSTRAINT step_ts IF NOT EXISTS FOR ()-[r:STEP]-() REQUIRE r.ts IS :: INTEGER;
CREATE CONSTRAINT step_ts_nn IF NOT EXISTS FOR ()-[r:STEP]-() REQUIRE r.ts IS NOT NULL;
SHOW CONSTRAINTS YIELD name, type, entityType, labelsOrTypes, properties
RETURN name, type, entityType, labelsOrTypes, properties
ORDER BY name
```
```table
| name | type | entityType | labelsOrTypes | properties |
|--------------|-----------------------------------|----------------|---------------|------------|
| "session_id" | "NODE_PROPERTY_UNIQUENESS" | "NODE" | ["Session"] | ["id"] |
| "step_ts" | "RELATIONSHIP_PROPERTY_TYPE" | "RELATIONSHIP" | ["STEP"] | ["ts"] |
| "step_ts_nn" | "RELATIONSHIP_PROPERTY_EXISTENCE" | "RELATIONSHIP" | ["STEP"] | ["ts"] |
| "tool_name" | "NODE_PROPERTY_UNIQUENESS" | "NODE" | ["Tool"] | ["name"] |
4 rows · constraints added: 4
```
Why an integer? Relate keeps each node's relationships of one type in `ts`
order when `ts` is an integer
(ADR-0035). A read with one anchor node,
one typed hop, and `ORDER BY t.ts DESC LIMIT n` then walks the newest
relationships first and stops after `n`, instead of sorting the whole session.
> **Note**
> Only an integer `ts` is kept in order. Over a `ts` that holds a datetime or
> an ISO string, Relate currently answers the same read with the *first*
> steps ever written, labelled newest-first, and no error. The two `ts`
> constraints make that shape impossible to write.
The type and the presence are two constraints because a property type
constraint cannot carry `NOT NULL`:
```cypher cell=one-constraint expect=error
CREATE CONSTRAINT step_ts_strict IF NOT EXISTS
FOR ()-[r:STEP]-() REQUIRE r.ts IS :: INTEGER NOT NULL
```
```table
error: syntax error: INTEGER NOT NULL is not supported in property type constraints.
```
## Load three sessions
The fixture is one `steps` list: 40 steps in each of three sessions, plus one
more for `s1`. That last row is `s1`'s step 0, backfilled after a restart: it
is written last but carries the oldest timestamp, so creation order and time
order disagree. `datetime(r.at).epochMillis` turns each ISO timestamp into the
integer sort key. A step's `id` is its session and sequence number.
```cypher cell=load setup params=steps
UNWIND $steps AS r
MERGE (s:Session {id: r.sid})
MERGE (tool:Tool {name: r.tool})
CREATE (s)-[:STEP {ts: datetime(r.at).epochMillis, seq: r.seq, tokens: r.tokens}]->
(:Step {id: r.sid + ':' + toString(r.seq), kind: r.kind, text: r.text,
at: datetime(r.at)})-[:CALLED]->(tool);
MATCH (s:Session) WITH count(s) AS sessions
MATCH (t:Tool) WITH sessions, count(t) AS tools
MATCH ()-[t:STEP]->()
RETURN sessions, tools, count(t) AS steps
```
```table
| sessions | tools | steps |
|----------|-------|-------|
| 3 | 6 | 121 |
1 row · nodes created: 130, relationships created: 242, properties set: 856, labels added: 130
```
Six distinct tool names in the fixture, six `Tool` nodes.
## A bad append is refused
A runtime that copies a timestamp as a datetime, instead of converting it,
fails loudly instead of corrupting the order:
```cypher cell=bad-append expect=error
MATCH (s:Session {id: 's1'}), (tool:Tool {name: 'shell'})
CREATE (s)-[:STEP {ts: datetime('2024-01-07T00:42:00Z'), seq: 41, tokens: 10}]->
(:Step {id: 's1:41', kind: 'answer', text: 'copied a datetime',
at: datetime('2024-01-07T00:42:00Z')})-[:CALLED]->(tool)
```
```table
error: semantic error: ConstraintValidationFailed: `step_ts` property type
```
A step with no `ts` at all fails the same way, on `step_ts_nn`.
## The last N steps
The agent's per-turn read: one session, newest first.
```json data=latest
{
"sid": "s1",
"n": 2
}
```
```cypher cell=latest params=latest
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
RETURN t.seq AS seq, x.kind AS kind, x.text AS text
ORDER BY t.ts DESC
LIMIT $n
```
```table
| seq | kind | text |
|-----|---------------|--------------------------------------|
| 40 | "answer" | "answer: run the epochMillis probe" |
| 39 | "observation" | "observation: ask about epochMillis" |
2 rows
```
## The next page
"Show me more" is the same read with `SKIP`. It stays on the ordered walk: the
walk stops after `skip + n` steps.
```json data=page
{
"sid": "s1",
"n": 2,
"skip": 2
}
```
```cypher cell=page params=page
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
RETURN t.seq AS seq, x.kind AS kind
ORDER BY t.ts DESC
SKIP $skip
LIMIT $n
```
```table
| seq | kind |
|-----|-------------|
| 38 | "tool_call" |
| 37 | "plan" |
2 rows
```
## Everything since a cutoff
The caller sends an ISO timestamp. `LET` names the cutoff once, as epoch
milliseconds, and `FILTER` keeps the steps after it (both are Cypher 25; a
`WHERE` says the same). With no `LIMIT`, the read sorts the steps it keeps
instead of walking in order, which is fine for a bounded window.
```json data=since
{
"sid": "s1",
"since": "2024-01-07T00:38:00Z"
}
```
```cypher cell=since params=since
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
LET cutoff = datetime($since).epochMillis
FILTER t.ts > cutoff
RETURN t.seq AS seq, x.kind AS kind
ORDER BY t.ts DESC
```
```table
| seq | kind |
|-----|---------------|
| 40 | "answer" |
| 39 | "observation" |
| 38 | "tool_call" |
| 37 | "plan" |
4 rows
```
## The oldest step
Ascending order finds the backfilled step, even though it was written last.
`datetime.fromEpochMillis` turns the integer back into a datetime inside
Cypher; it equals the `at` stored on the step, so a runtime that keeps only
`ts` loses nothing.
```json data=oldest
{
"sid": "s1"
}
```
```cypher cell=oldest params=oldest
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
WITH t, x ORDER BY t.ts ASC LIMIT 1
RETURN t.seq AS seq, t.ts AS ts, x.at AS at,
datetime.fromEpochMillis(t.ts) = x.at AS matches_at, x.text AS text
```
```table
| seq | ts | at | matches_at | text |
|-----|---------------|------------------------|------------|----------------------------------------------------------|
| 0 | 1704585600000 | "2024-01-07T00:00:00Z" | true | "system: load task context (backfilled after a restart)" |
1 row
```
> **Note**
> Use `datetime.fromEpochMillis(ms)`. Relate currently returns
> `0000-01-01T00:00Z` for `datetime({epochMillis: ms})` and
> `datetime({epochSeconds: s})` instead of the instant.
## The session on a time axis
Every step of one session, oldest first, with the datetime `at` beside its
kind. The backfilled step 0 opens the axis, although it was written last.
```json data=session
{
"sid": "s1"
}
```
```cypher cell=session params=session
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
RETURN t.seq AS seq, x.kind AS kind, x.at AS at
ORDER BY t.ts
```
```table
| seq | kind | at |
|-----|---------------|----------------------------|
| 0 | "system" | "2024-01-07T00:00:00Z" |
| 1 | "plan" | "2024-01-07T00:01:14.647Z" |
| 2 | "tool_call" | "2024-01-07T00:02:32.928Z" |
| 3 | "observation" | "2024-01-07T00:03:51.476Z" |
| 4 | "plan" | "2024-01-07T00:04:48.677Z" |
| 5 | "tool_call" | "2024-01-07T00:05:42.969Z" |
| 6 | "observation" | "2024-01-07T00:06:30.713Z" |
| 7 | "plan" | "2024-01-07T00:07:26.034Z" |
| 8 | "tool_call" | "2024-01-07T00:08:45.661Z" |
| 9 | "observation" | "2024-01-07T00:09:43.126Z" |
| 10 | "plan" | "2024-01-07T00:10:58.53Z" |
| 11 | "tool_call" | "2024-01-07T00:11:56.33Z" |
| 12 | "observation" | "2024-01-07T00:13:00.607Z" |
| 13 | "plan" | "2024-01-07T00:13:51.176Z" |
| 14 | "tool_call" | "2024-01-07T00:15:02.834Z" |
| 15 | "observation" | "2024-01-07T00:16:04.479Z" |
| 16 | "plan" | "2024-01-07T00:17:08.421Z" |
| 17 | "tool_call" | "2024-01-07T00:18:00.494Z" |
| 18 | "observation" | "2024-01-07T00:19:10.824Z" |
| 19 | "plan" | "2024-01-07T00:19:55.859Z" |
| 20 | "tool_call" | "2024-01-07T00:21:11.66Z" |
| 21 | "observation" | "2024-01-07T00:22:24.171Z" |
| 22 | "plan" | "2024-01-07T00:23:22.179Z" |
| 23 | "tool_call" | "2024-01-07T00:24:12.89Z" |
| 24 | "observation" | "2024-01-07T00:25:24.763Z" |
| 25 | "plan" | "2024-01-07T00:26:16.385Z" |
| 26 | "tool_call" | "2024-01-07T00:27:33.289Z" |
| 27 | "observation" | "2024-01-07T00:28:30.635Z" |
| 28 | "plan" | "2024-01-07T00:29:24.218Z" |
| 29 | "tool_call" | "2024-01-07T00:30:16.853Z" |
| 30 | "observation" | "2024-01-07T00:31:01.883Z" |
| 31 | "plan" | "2024-01-07T00:31:48.169Z" |
| 32 | "tool_call" | "2024-01-07T00:32:39.744Z" |
| 33 | "observation" | "2024-01-07T00:33:53.68Z" |
| 34 | "plan" | "2024-01-07T00:35:00.238Z" |
| 35 | "tool_call" | "2024-01-07T00:35:50.106Z" |
| 36 | "observation" | "2024-01-07T00:36:51.032Z" |
| 37 | "plan" | "2024-01-07T00:38:00.391Z" |
| 38 | "tool_call" | "2024-01-07T00:39:17.092Z" |
| 39 | "observation" | "2024-01-07T00:40:14.073Z" |
| 40 | "answer" | "2024-01-07T00:41:14.04Z" |
41 rows
```
The timeline draws those rows, one lane per kind. Its slider sets the
`since` cutoff from [Everything since a cutoff](#everything-since-a-cutoff)
and runs that step again for the same session, so the steps it keeps light
up.
The `session` step's recorded rows on a time axis: 41 rows in 5 lanes by `kind`, from 2024-01-07T00:00:00Z to 2024-01-07T00:41:14.04Z.
| kind | rows | seq | earliest at | latest at |
| --- | --- | --- | --- | --- |
| system | 1 | 0 | 2024-01-07T00:00:00Z | 2024-01-07T00:00:00Z |
| plan | 13 | 1, 4, 7, 10, 13, 16, 19, 22, 25, 28, 31, 34, 37 | 2024-01-07T00:01:14.647Z | 2024-01-07T00:38:00.391Z |
| tool_call | 13 | 2, 5, 8, 11, 14, 17, 20, 23, 26, 29, 32, 35, 38 | 2024-01-07T00:02:32.928Z | 2024-01-07T00:39:17.092Z |
| observation | 13 | 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39 | 2024-01-07T00:03:51.476Z | 2024-01-07T00:40:14.073Z |
| answer | 1 | 40 | 2024-01-07T00:41:14.04Z | 2024-01-07T00:41:14.04Z |
Live: the drawing reads its rows again from each run of the statement it draws on the page's database in your browser, so an edit to the statement or its parameters redraws it; Tab reaches the marks and the arrow keys move along a lane and between lanes, each mark read out with its values; where the page names an as-of statement, a time slider runs that statement again with the time as its parameter and lights up the rows it returns.
## Which tool each step called
One more hop reaches the tool. Tool names are unique, so each step reaches
exactly one `Tool` and the read returns exactly `$n` rows.
```json data=tools
{
"sid": "s1",
"n": 3
}
```
```cypher cell=tools params=tools
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)-[:CALLED]->(tool:Tool)
RETURN t.seq AS seq, x.kind AS kind, tool.name AS tool
ORDER BY t.ts DESC
LIMIT $n
```
```table
| seq | kind | tool |
|-----|---------------|------------|
| 40 | "answer" | "shell" |
| 39 | "observation" | "ask_user" |
| 38 | "tool_call" | "shell" |
3 rows
```
To see the shape, return the paths. Open the graph view:
```cypher cell=graph params=tools
MATCH p = (s:Session {id: $sid})-[t:STEP]->(x:Step)-[:CALLED]->(tool:Tool)
WITH p, t ORDER BY t.ts DESC LIMIT $n
RETURN p
```
```gram
// 3 rows
(n0:Session {id: "s1"})-[r78:STEP {seq: 40, tokens: 782, ts: 1704588074040}]->(n48:Step {at: "2024-01-07T00:41:14.04Z", id: "s1:40", kind: "answer", text: "answer: run the epochMillis probe"})-[r79:CALLED]->(n3:Tool {name: "shell"})
(n0)-[r76:STEP {seq: 39, tokens: 358, ts: 1704588014073}]->(n47:Step {at: "2024-01-07T00:40:14.073Z", id: "s1:39", kind: "observation", text: "observation: ask about epochMillis"})-[r77:CALLED]->(n8:Tool {name: "ask_user"})
(n0)-[r74:STEP {seq: 38, tokens: 435, ts: 1704587957092}]->(n46:Step {at: "2024-01-07T00:39:17.092Z", id: "s1:38", kind: "tool_call", text: "tool_call: run the epochMillis probe"})-[r75:CALLED]->(n3)
```
## Token budget per session
`count` and `sum` over each session's `STEP` relationships. The tokens are on
the relationship, so the read never loads a `Step` node.
```cypher cell=budget
MATCH (s:Session)-[t:STEP]->()
RETURN s.id AS session, count(t) AS steps, sum(t.tokens) AS tokens
ORDER BY session
```
```table
| session | steps | tokens |
|---------|-------|--------|
| "s1" | 41 | 18485 |
| "s2" | 40 | 18201 |
| "s3" | 40 | 19583 |
3 rows
```
## The newest steps across all sessions
A supervisor wants the newest steps overall. The anchor now matches every
session. Session `s3` ran last, so it owns the newest three.
```json data=global
{
"n": 3
}
```
```cypher cell=global params=global
MATCH (s:Session)-[t:STEP]->(x:Step)
RETURN s.id AS session, t.seq AS seq, x.kind AS kind
ORDER BY t.ts DESC, t.seq ASC
LIMIT $n
```
```table
| session | seq | kind |
|---------|-----|---------------|
| "s3" | 40 | "answer" |
| "s3" | 39 | "observation" |
| "s3" | 38 | "tool_call" |
3 rows
```
> **Note**
> Keep the second sort key (`t.seq ASC`) when the anchor matches more than
> one node. It also breaks ties between equal timestamps. Without it,
> Relate currently returns the newest steps of the first session it walks
> (here `s1`) instead of the newest overall.
## Append a step
A runtime appends the way the fixture was loaded: find the session, `MERGE`
the tool, create the step. A live runtime passes `datetime().epochMillis` for
now; this step uses a fixed timestamp so its result does not change. The same
step then reads the last three, and the new step comes first.
```json data=append
{
"sid": "s1",
"seq": 41,
"kind": "answer",
"tool": "shell",
"text": "answer: the latest-N read is correct",
"at": "2024-01-07T00:42:30Z",
"tokens": 240,
"n": 3
}
```
```cypher cell=append params=append
MATCH (s:Session {id: $sid})
MERGE (tool:Tool {name: $tool})
CREATE (s)-[:STEP {ts: datetime($at).epochMillis, seq: $seq, tokens: $tokens}]->
(:Step {id: $sid + ':' + toString($seq), kind: $kind, text: $text,
at: datetime($at)})-[:CALLED]->(tool);
MATCH (s:Session {id: $sid})-[t:STEP]->(x:Step)
RETURN t.seq AS seq, x.kind AS kind, x.text AS text
ORDER BY t.ts DESC
LIMIT $n
```
```table
| seq | kind | text |
|-----|---------------|----------------------------------------|
| 41 | "answer" | "answer: the latest-N read is correct" |
| 40 | "answer" | "answer: run the epochMillis probe" |
| 39 | "observation" | "observation: ask about epochMillis" |
3 rows · nodes created: 1, relationships created: 2, properties set: 7, labels added: 1
```
## Migrate a timeline written with datetimes
A timeline written before these constraints existed often has `ts` as a
datetime. To stand in for one, this step drops the two `ts` constraints and
writes session `s2` again as session `legacy`, with `ts: datetime(r.at)`:
```cypher cell=legacy params=steps
DROP CONSTRAINT step_ts;
DROP CONSTRAINT step_ts_nn;
UNWIND $steps AS r
WITH r WHERE r.sid = 's2'
MERGE (s:Session {id: 'legacy'})
MERGE (tool:Tool {name: r.tool})
CREATE (s)-[:STEP {ts: datetime(r.at), seq: r.seq, tokens: r.tokens}]->
(:Step {id: 'legacy:' + toString(r.seq), kind: r.kind, text: r.text,
at: datetime(r.at)})-[:CALLED]->(tool);
MATCH ()-[t:STEP]->()
RETURN valueType(t.ts) AS ts_type, count(t) AS steps
ORDER BY ts_type
```
```table
| ts_type | steps |
|---------------------------|-------|
| "INTEGER NOT NULL" | 122 |
| "ZONED DATETIME NOT NULL" | 40 |
2 rows · nodes created: 41, relationships created: 80, properties set: 281, labels added: 41, constraints removed: 2
```
Order matters. `step_ts` checks the relationships that already exist, so it
cannot come back before the data is fixed:
```cypher cell=constrain-first expect=error
CREATE CONSTRAINT step_ts IF NOT EXISTS FOR ()-[r:STEP]-() REQUIRE r.ts IS :: INTEGER
```
```table
error: semantic error: ConstraintValidationFailed: `step_ts` property type
```
The migration rewrites every datetime `ts` as epoch milliseconds. Only
datetimes match the `WHERE`, so a second run migrates nothing. Each `SET`
also moves the relationship to its place in the `ts` order.
```cypher cell=migrate
MATCH ()-[t:STEP]->()
WHERE valueType(t.ts) STARTS WITH 'ZONED DATETIME'
SET t.ts = t.ts.epochMillis
RETURN count(t) AS migrated
```
```table
| migrated |
|----------|
| 40 |
1 row · properties set: 40
```
Then lock it in again, and the latest-N read on the migrated session is
correct:
```cypher cell=relock
CREATE CONSTRAINT step_ts IF NOT EXISTS FOR ()-[r:STEP]-() REQUIRE r.ts IS :: INTEGER;
CREATE CONSTRAINT step_ts_nn IF NOT EXISTS FOR ()-[r:STEP]-() REQUIRE r.ts IS NOT NULL;
MATCH (s:Session {id: 'legacy'})-[t:STEP]->(x:Step)
RETURN t.seq AS seq, x.kind AS kind
ORDER BY t.ts DESC
LIMIT 3
```
```table
| seq | kind |
|-----|---------------|
| 40 | "answer" |
| 39 | "observation" |
| 38 | "tool_call" |
3 rows · constraints added: 2
```
The companion example runs the same reads from the `relate` CLI against a
file, one process per read, and times the ordered walk against a full sort.
## Data
The dataset the steps above load. The block is a JSON object whose key is
the query parameter.
steps (20 KB)
```json data=steps
{
"steps": [
{"sid": "s1", "seq": 1, "kind": "plan", "tool": "shell", "text": "plan: run the constraint probe", "at": "2024-01-07T00:01:14.647Z", "tokens": 502},
{"sid": "s1", "seq": 2, "kind": "tool_call", "tool": "shell", "text": "tool_call: run the epochMillis probe", "at": "2024-01-07T00:02:32.928Z", "tokens": 229},
{"sid": "s1", "seq": 3, "kind": "observation", "tool": "write_file", "text": "observation: write summary of latest steps", "at": "2024-01-07T00:03:51.476Z", "tokens": 668},
{"sid": "s1", "seq": 4, "kind": "plan", "tool": "search", "text": "plan: search 'constraint'", "at": "2024-01-07T00:04:48.677Z", "tokens": 350},
{"sid": "s1", "seq": 5, "kind": "tool_call", "tool": "search", "text": "tool_call: search 'trajectory'", "at": "2024-01-07T00:05:42.969Z", "tokens": 869},
{"sid": "s1", "seq": 6, "kind": "observation", "tool": "shell", "text": "observation: run the constraint probe", "at": "2024-01-07T00:06:30.713Z", "tokens": 503},
{"sid": "s1", "seq": 7, "kind": "plan", "tool": "shell", "text": "plan: run the ordered expand probe", "at": "2024-01-07T00:07:26.034Z", "tokens": 891},
{"sid": "s1", "seq": 8, "kind": "tool_call", "tool": "search", "text": "tool_call: search 'ordered expand'", "at": "2024-01-07T00:08:45.661Z", "tokens": 76},
{"sid": "s1", "seq": 9, "kind": "observation", "tool": "read_file", "text": "observation: read notes/trajectory.md", "at": "2024-01-07T00:09:43.126Z", "tokens": 70},
{"sid": "s1", "seq": 10, "kind": "plan", "tool": "run_cypher", "text": "plan: MATCH the constraint subgraph", "at": "2024-01-07T00:10:58.530Z", "tokens": 645},
{"sid": "s1", "seq": 11, "kind": "tool_call", "tool": "shell", "text": "tool_call: run the epochMillis probe", "at": "2024-01-07T00:11:56.330Z", "tokens": 695},
{"sid": "s1", "seq": 12, "kind": "observation", "tool": "write_file", "text": "observation: write summary of ordered expand", "at": "2024-01-07T00:13:00.607Z", "tokens": 718},
{"sid": "s1", "seq": 13, "kind": "plan", "tool": "write_file", "text": "plan: write summary of latest steps", "at": "2024-01-07T00:13:51.176Z", "tokens": 324},
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}
```