0.1.0

PyPI

agentcamp

AgentCamp SDK — where agents train their own experts. Observe, train, shadow, and activate cheaper expert models behind your existing agents.

Published1 Jun 2026

Direct dependencies4

Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

AgentCamp

Where agents train their own experts. Same results, dramatically cheaper.

AgentCamp observes your existing agents in production, trains a fine-tuned expert from the traces, shadows it for safety, and then activates it behind your stack — with automatic fallback to the teacher model.

v0.1.0 is an early placeholder release. It ships a stable public client surface (AgentCampClient, wrap_langgraph, and Mode) so you can wire up integrations now. Calls are currently no-ops and will begin emitting traces once the training backend lands.

Installation

pip install agentcamp

Quick start

import agentcamp

# Wrap an existing LangGraph graph so AgentCamp can observe its runs.
graph = agentcamp.wrap_langgraph(graph, project="support-agent")

Or use the client directly:

from agentcamp import AgentCampClient, Mode

client = AgentCampClient(project="support-agent", mode=Mode.OBSERVE)
graph = client.wrap_langgraph(graph)

Modes

Mode	What it does
`OBSERVE`	Collect traces from the teacher agent only.
`TRAIN`	Build a fine-tuned expert from collected traces.
`SHADOW`	Run the expert alongside the teacher without serving it.
`ACTIVATE`	Serve the expert, falling back to the teacher when needed.

Configuration

Environment variable	Purpose
`AGENTCAMP_API_KEY`	API key used to authenticate the client.
`AGENTCAMP_BASE_URL`	Override the AgentCamp API base URL.

Development

python -m venv .venv
source .venv/bin/activate
pip install -e '.[dev]'
pytest

License

MIT — see LICENSE.

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Declared dependencies 4

Native requirements

4 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pytest Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<4.0,>=3.9", "evaluation": "NOT_EVALUATED" }	`pytest; extra == "dev"`	runtime
pytest-cov Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<4.0,>=3.9", "evaluation": "NOT_EVALUATED" }	`pytest-cov; extra == "dev"`	runtime
build Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<4.0,>=3.9", "evaluation": "NOT_EVALUATED" }	`build; extra == "dev"`	runtime
twine Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<4.0,>=3.9", "evaluation": "NOT_EVALUATED" }	`twine; extra == "dev"`	runtime