agentcanvas
Enrichment pendingVisualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram, tools, nested sub-agents, tokens and exact cost.
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Install
pip install agentcanvasSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 15, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
```python from agentcanvas import LogfireClient, parse_run, render_htmlSource link
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README
🚀 Quick start
pip install agentcanvas
Set LOGFIRE_READ_TOKEN in your environment (or a .env file), then build the
report from your latest agent run:
agentcanvas # latest run → agent_flow.html (opens in browser)
agentcanvas --list # list recent runs
agentcanvas --trace-id <id> # a specific run
agentcanvas -o report.html --no-open
Or use it as a library:
from agentcanvas import LogfireClient, parse_run, render_html
client = LogfireClient() # reads LOGFIRE_READ_TOKEN
trace_id = client.latest_trace_id()
report = parse_run(client.fetch_trace(trace_id), trace_id)
open("report.html", "w").write(render_html(report))
| Variable | Used for |
|---|---|
LOGFIRE_READ_TOKEN | reading traces via the Logfire Query API (required) |
LOGFIRE_BASE_URL | optional region override (default US; EU: https://logfire-eu.pydantic.dev) |
LOGFIRE_WRITE_TOKEN | the example agent sending telemetry to Logfire |
OPENROUTER_API_KEY | the example agent (model via OpenRouter) |
License
MIT — see LICENSE.
For agents
This page has a .md twin and JSON over the API.