agent-genesis 0.0.53

Agent Genesis evaluation SDK.

agent-genesis

An evaluation SDK for building, registering, and running agent-based coding challenges with dual-sandbox isolation.

Features

• Define problems with multi-phase evaluation pipelines
• Dual-sandbox architecture: isolated judge + user containers per test case
• gRPC-based communication between judge and user runtimes
• Template image pool with LRU garbage collection for fast container startup
• Concurrency control: global sandbox limits + per-submission parallelism caps
• Built-in problem registry, artifact management, and revision workflows

Install

pip install agent-genesis

For server-side deployment (Docker sandbox + gRPC transport):

pip install "agent-genesis[server]"

Platform

Agent Genesis

• public account for quick start:

Username: genesis

Password:12345678

• Or you can register your own account.

Problems

The platform includes diverse agent challenges testing different capabilities:

Multi-Agent Coordination

• werewolf - Isolated multi-agent werewolf game with role-based strategy
• microservice_avalanche - Distributed transaction coordination across order/inventory/payment services

Tool Use & Planning

• maze - Navigate random mazes using LLM agent with tool calls
• tool_creator_challenge - Dynamically create and use tools to solve queries

Parallel Execution

• parallel_weather - Query 200 cities in <27s using parallel tool calls
• short_circuit_scraper - Fast-fail pattern with 10 endpoints under time pressure

Resilience & Retry Logic

• resilient_scraper - Exponential backoff retry strategy with probabilistic failures

Semantic Analysis

• log_hunter - Find 3 hacker IPs in 800K tokens of access logs (high token consumption)
• interrupt_judge - Determine when to interrupt user utterances

Structured Output

• structured_output - Process 1000 questions with strict schema compliance in 25s

Shopping Agent

• sports_shopping - Multi-constraint shopping with 12 items, guardrails, and time limits

Each problem is in problems/<name>/ with config, sandbox environment, and registration scripts.

Show

WereWolf Game: Agent Genesis

Testing

Run commands from the evaluation/ directory.

1) Default OSS test run (recommended)

python -m pytest -q

Default pytest options exclude cross_module tests, so contributors can run the suite without private backend credentials.

Expected outcome:

• passed: unit and integration tests executed locally
• deselected: cross_module tests intentionally excluded by marker filter

2) Coverage gate run

python -m pytest agent_genesis/tests -q \
  --cov=agent_genesis \
  --cov-config=../.coveragerc \
  --cov-report=term-missing:skip-covered

The coverage threshold is enforced by .coveragerc (fail_under = 90).

3) Cross-module backend run (optional)

python -m pytest agent_genesis/tests -q \
  -m cross_module \
  -o addopts=\"-ra --strict-markers\"

These tests require a live backend and environment variables such as:

• BACKEND_URL
• INTERNAL_API_KEY
• AGENT_GENESIS_API_KEY
• CROSS_TEST_SLUG
• CROSS_TEST_SUBMIT_ID
• CROSS_TEST_SUBMIT_ID_CLAIMED
• CROSS_TEST_USER_ID
• CROSS_TEST_KEY_ID

Expected outcome for this mode:

• skipped: environment-dependent fixtures are missing and tests self-skip with explicit reasons
• passed: backend and credentials are configured correctly

License

Apache License 2.0