Token, cost and model metrics for ClaudeAgent and CodexAgent runs

Agno's ClaudeAgent maps the Claude SDK's result message onto RunOutput.metrics, with input, output and cache tokens, the cost in USD, and one entry per model in metrics.details["model"], where Claude Code's helper model gets its own line and cost. CodexAgent takes the growth of the thread's token total over the turn, so a turn with two tool calls counts all three model requests. Agno times both, setting duration and, for streamed runs, time_to_first_token.

Completed runs add up into the session's session_metrics. AgentOS shows those totals in the sessions list, the session view and the daily /metrics aggregation.

Runs also carry model and model_provider, which the Models Runs card on the AgentOS metrics page counts. With no model on the agent or in its options, ClaudeAgent now runs claude-sonnet-4-6 and CodexAgent runs gpt-5.6-luna, and the run records what the SDK was asked to run. Earlier releases left an unset model to the CLI, so set model yourself if you relied on the CLI's default. A model in options (Claude) or thread_options and turn_options (Codex) overrides that default.

On the Claude side, the fake SDK from the release's tests stands in for Claude Code and returns a fixed usage report:

agent = ClaudeAgent(id="claude", db=db)  # no model set
 
run = list(agent.run("hi", session_id="s", stream=True, yield_run_output=True))[-1]
print(run.model, run.model_provider)
m = run.metrics
print(m.input_tokens, m.output_tokens, m.cache_read_tokens, m.cache_write_tokens, m.cost)
print([(x.id, x.cost) for x in m.details["model"]])

claude-sonnet-4-6 Anthropic
3 5 14334 5369 0.0365982
[('claude-sonnet-4-6', 0.0365982)]

Claude's input_tokens leaves out the cached prefix, as the native Anthropic model does, while Codex's includes it, as the OpenAI API does. Codex reports no cost, so cost stays unset on CodexAgent runs.

See the cookbook and its Codex counterpart, and learn more about provider metrics in the documentation.