TraceAgent Pydantic AI Integration
Pydantic AI capability that streams agent runs, model requests and tool calls into TraceAgent. Requires Pydantic AI 2.x.
Install
pip install trace-agent-pydantic-ai
Usage
from pydantic_ai import Agent
from trace_agent_sdk import TraceAgentClient
client = TraceAgentClient("http://localhost:8000")
run = client.start_run("my-agent", "Do something")
agent = Agent("openai:gpt-4o", capabilities=[run.as_pydantic_ai_capability()])
result = agent.run_sync("hello")
run.finish(result.output)
The capability never breaks or slows the agent. Events are delivered by a background thread; if the backend is unreachable or hangs, a one-line warning is printed, trace delivery pauses for a while, and the agent keeps running. Events produced while paused are dropped. The end of the outermost run waits a few seconds at most for pending events, so run.finish() is delivered after them.
Pydantic AI prints a startup banner suggesting Logfire while its own observability is off. It is unrelated to TraceAgent and can be silenced with PYDANTIC_AI_NO_BANNER=1.
Without any code: OpenTelemetry
Pydantic AI already emits OpenTelemetry spans, and the TraceAgent server can receive them, so an agent can be traced
without this package at all: export its spans over OTLP to http://<server>/v1/traces. See the
server README and
examples/pydantic_ai_otel_agent.py.
Pick one route per agent. The capability above records more detail you control (redaction, node events) and works without OpenTelemetry; the OpenTelemetry route needs no change to the agent. Using both records the run twice.
Options
run.as_pydantic_ai_capability(...) accepts:
| Option | Default | Description |
|---|---|---|
record_model_events |
True |
Record each model request as an LLM call (tokens, model, requested tools) |
record_tool_events |
True |
Record each tool execution (args, output summary, duration, errors) |
record_node_events |
False |
Record every agent graph node |
redact_fields |
[] |
Argument / output keys replaced with [redacted] |
failure_cooldown |
30.0 |
Seconds to stop sending (and drop events) after a failed delivery. 0 retries every event |
flush_timeout |
5.0 |
Maximum seconds the end of the outermost run waits for pending events |
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for trace-agent-pydantic-ai 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| trace_agent_pydantic_ai-0.6.0.tar.gz | 17.2 kB | Without provenance | Details for trace_agent_pydantic_ai-0.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| trace_agent_pydantic_ai-0.6.0-py3-none-any.whl | Python 3 | none | any | Details for trace_agent_pydantic_ai-0.6.0-py3-none-any.whl |
Total release size: 26.0 kB
Release files / trace_agent_pydantic_ai-0.6.0.tar.gz
| Download URL | trace_agent_pydantic_ai-0.6.0.tar.gz |
|---|---|
| Size | 17.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1e98323a2033b5879ac07bfccb1523acd93199ad2217aa074b9adaf439303c1c
|
|
BLAKE2b-256 checksum How to use checksums |
9f41d3ff0e36c00b0d069dcda5e12af288b46f06c97801c5e8d8319560d9f98b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / trace_agent_pydantic_ai-0.6.0-py3-none-any.whl
| Download URL | trace_agent_pydantic_ai-0.6.0-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0406e9386313e640a4a83b678167f93eddb6046364f04bd53a872e438343d9da
|
|
BLAKE2b-256 checksum How to use checksums |
c456345e2cfa1a6a4b95fdcf0ffdf704dcea505b2d81970472970d8048655f39
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for trace-agent-pydantic-ai 0.6.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
