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Read commons trajectories

Source: R/trajectories.R
read_trajectories.Rd

read_trajectories() reads conversation trajectories captured by commons() when log = TRUE. Trajectories are recorded as OpenTelemetry spans—see the log argument of commons() for how capture is enabled—and read back from Posit Connect's content observability store or from local trace files.

Usage

read_trajectories(source = NULL, ..., n = NULL, from = NULL, to = NULL)

Arguments

source

Where to read trajectories from:

  • NULL (the default) resolves automatically: on Posit Connect, this content's own traces; in a project that has been deployed with rsconnect, the deployed content's traces; otherwise, the local trace directory that commons() writes to.

  • A Connect content GUID, a content URL (.../content/<guid>/), or a dashboard URL (.../connect/#/apps/<guid>/).

  • A directory of OTLP NDJSON trace files (trace-*.jsonl).

...

These dots are for future extensions and must be empty.

n

Keep only the n most recent conversations, after from/to filtering. NULL (the default) keeps all of them.

from, to

Keep only conversations with chat activity at or after from and before to. Each is a POSIXct, a Date, or a single string in a standard format like "2026-07-22" or "2026-07-22 14:30:00"; dates and strings are interpreted in local time. A conversation that continues past to is returned with its history as of to.

Value

A list of conversations, named by conversation id and ordered oldest-first. Each conversation is a list of ellmer::Turns.

Details

Reading traces from Connect requires the CONNECT_API_KEY environment variable (and CONNECT_SERVER, when the server can't be inferred from the project's deployment record), and editor-level access to the content: you must own it or be a collaborator. See the share_with argument of commons().

Agent skill

commons includes an agent skill scaffold for iterating on a deployed agent. To locate it:

system.file("skills", "commons", "SKILL.md", package = "commons")

To use it, copy the skill directory into your agent's skills directory, like ./.agents/skills:

skill <- system.file("skills", "commons", package = "commons")
dir.create("./.agents/skills", recursive = TRUE, showWarnings = FALSE)
file.copy(skill, "./.agents/skills", recursive = TRUE)