Does 0xPlaygrounds/rig actually build and run a working LLM agent from its own quickstart example?

0xPlaygrounds/rig · could_not_test

Verdict

COULD_NOT_TEST

blockers: needs_api_key · not downgraded · stopped: sufficient_info · 9 steps · $0.358 · 50s

passes every criterion

Summary

The repo's own description and README match the claim, and the examples/ directory contains a genuine, minimal quickstart agent example (examples/agent/src/main.rs) that builds an OpenAI-backed agent and prompts it. No tool call actually attempted to compile or run this Rust example, so it's unknown whether the sandbox could build it; the investigation did not demonstrate a Rust-toolchain limitation. What is clear from the code itself is that the example requires an OPENAI_API_KEY, which was not available, preventing execution. The investigation could not be tested because of the missing API key, not because Rust was shown to be unsupported.

Trajectory

step 1 get_repo_metadata({'repo': '0xPlaygrounds/rig'})→ {"full_name": "0xPlaygrounds/rig", "license": "MIT", "language": "Rust", "size_kb": 73630, "archived": false, "created_at": "2024-06-05T13:42:28Z", "pushed_at": "2026-09-14T03:39:41Z", "homepage": "https://rig.rs", "stars": 8617, "forks": 960, "open_issues": 121}

step 1 get_repo_description({'repo': '0xPlaygrounds/rig'})→ {"full_name": "0xPlaygrounds/rig", "description": "\u2699\ufe0f\ud83e\udd80 Build modular and scalable LLM Applications in Rust", "topics": ["agent", "ai", "artificial-intelligence", "automation", "generative-ai", "large-language-model", "llm", "llmops", "rust", "scalable-ai"]}

step 2 read_file({'repo': '0xPlaygrounds/rig', 'path': 'README.md'})→ {"path": "README.md", "size": 12258, "truncated": true, "content": "\n<picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"img/rig-rebranded-logo-white.svg\">\n <source media=\"(prefers-color-scheme: light)\" srcset=\"img/rig-rebranded-logo-black.svg\">\n <img src=\"img/rig-rebranded-logo-white.svg\" style=\"width: 40%; height: 40%;\" alt=\"Rig logo\">\n</picture>\n \n \n<a href=\"https://rig.rs/docs\"><img src=\"https://img.shields.io/badge/\ud83d\udcd6 docs-rig.rs-dca282.svg\" /></a>  \n<a href=\"https://docs.rs/rig/latest/rig/\"><img src=\"https://img.shields.io/badge/docs-API Reference-dca282.svg\" /></a>  \n<a href=\"https://crates.io/crates/rig\"><img src=\"https://img.shields.io/crates/v/rig.svg?color=dca282\" /></a>\n \n<a href=\"https://crates.io/crates/rig\"><img src=\"https://img.shields.io/crates/d/rig-core.svg?color=dca282\" /></a>\n \n<a href=\"LICENSE\"><img src=\"https://img.shields.io/crates/l/rig.sv...

step 3 list_files({'repo': '0xPlaygrounds/rig', 'path': 'rig-core/examples'}) error→ {"error": "not found: /repos/0xPlaygrounds/rig/contents/rig-core/examples"}

step 3 read_file({'repo': '0xPlaygrounds/rig', 'path': 'rig-core/README.md'}) error→ {"error": "not found: /repos/0xPlaygrounds/rig/contents/rig-core/README.md"}

step 4 list_files({'repo': '0xPlaygrounds/rig', 'path': ''})→ {"path": "/", "entries": [{"name": ".cargo", "type": "dir", "size": 0}, {"name": ".config", "type": "dir", "size": 0}, {"name": ".gitattributes", "type": "file", "size": 370}, {"name": ".github", "type": "dir", "size": 0}, {"name": ".gitignore", "type": "file", "size": 393}, {"name": ".pre-commit-config.yaml", "type": "file", "size": 673}, {"name": "AGENTS.md", "type": "file", "size": 13258}, {"name": "CHANGELOG.md", "type": "file", "size": 162669}, {"name": "CONTRIBUTING.md", "type": "file", "size": 13220}, {"name": "Cargo.lock", "type": "file", "size": 345854}, {"name": "Cargo.toml", "type": "file", "size": 19906}, {"name": "DEVELOPING.md", "type": "file", "size": 5780}, {"name": "LICENSE", "type": "file", "size": 1071}, {"name": "MIGRATING.md", "type": "file", "size": 279664}, {"name": "README.md", "type": "file", "size": 12258}, {"name": "crates", "type": "dir", "size": 0}, {"name": "examples", "type": "dir", "size": 0}, {"name": "flake.lock", "type": "file", "size": 2038}, {"name"...

step 5 list_files({'repo': '0xPlaygrounds/rig', 'path': 'examples'})→ {"path": "examples", "entries": [{"name": "README.md", "type": "file", "size": 5963}, {"name": "agent", "type": "dir", "size": 0}, {"name": "agent_autonomous", "type": "dir", "size": 0}, {"name": "agent_evaluator_optimizer", "type": "dir", "size": 0}, {"name": "agent_no_tokio", "type": "dir", "size": 0}, {"name": "agent_orchestrator", "type": "dir", "size": 0}, {"name": "agent_parallelization", "type": "dir", "size": 0}, {"name": "agent_prompt_chaining", "type": "dir", "size": 0}, {"name": "agent_routing", "type": "dir", "size": 0}, {"name": "agent_run_stepping", "type": "dir", "size": 0}, {"name": "agent_stream_chat", "type": "dir", "size": 0}, {"name": "agent_with_agent_tool", "type": "dir", "size": 0}, {"name": "agent_with_approval_policy", "type": "dir", "size": 0}, {"name": "agent_with_context", "type": "dir", "size": 0}, {"name": "agent_with_default_max_turns", "type": "dir", "size": 0}, {"name": "agent_with_durable_approval", "type": "dir", "size": 0}, {"name": "agent_with_echoc...

step 5 read_file({'repo': '0xPlaygrounds/rig', 'path': 'README.md'})→ {"path": "README.md", "size": 12258, "truncated": true, "content": "\n<picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"img/rig-rebranded-logo-white.svg\">\n <source media=\"(prefers-color-scheme: light)\" srcset=\"img/rig-rebranded-logo-black.svg\">\n <img src=\"img/rig-rebranded-logo-white.svg\" style=\"width: 40%; height: 40%;\" alt=\"Rig logo\">\n</picture>\n \n \n<a href=\"https://rig.rs/docs\"><img src=\"https://img.shields.io/badge/\ud83d\udcd6 docs-rig.rs-dca282.svg\" /></a>  \n<a href=\"https://docs.rs/rig/latest/rig/\"><img src=\"https://img.shields.io/badge/docs-API Reference-dca282.svg\" /></a>  \n<a href=\"https://crates.io/crates/rig\"><img src=\"https://img.shields.io/crates/v/rig.svg?color=dca282\" /></a>\n \n<a href=\"https://crates.io/crates/rig\"><img src=\"https://img.shields.io/crates/d/rig-core.svg?color=dca282\" /></a>\n \n<a href=\"LICENSE\"><img src=\"https://img.shields.io/crates/l/rig.sv...

step 6 list_files({'repo': '0xPlaygrounds/rig', 'path': 'examples/agent'})→ {"path": "examples/agent", "entries": [{"name": "Cargo.toml", "type": "file", "size": 234}, {"name": "src", "type": "dir", "size": 0}], "truncated": false}

step 7 list_files({'repo': '0xPlaygrounds/rig', 'path': 'examples/agent/src'})→ {"path": "examples/agent/src", "entries": [{"name": "main.rs", "type": "file", "size": 633}], "truncated": false}

step 8 read_file({'repo': '0xPlaygrounds/rig', 'path': 'examples/agent/src/main.rs'})→ {"path": "examples/agent/src/main.rs", "size": 633, "truncated": false, "content": "//! Demonstrates the smallest useful agent setup with OpenAI.\n//! Requires `OPENAI_API_KEY`.\n//! Run it to see the provider/client/agent/prompt flow end to end.\n\nuse anyhow::Result;\nuse rig::prelude::*;\nuse rig::providers::openai;\n\nconst PREAMBLE: &str = \"You are a comedian here to entertain the user using humour and jokes.\";\nconst PROMPT: &str = \"Entertain me!\";\n\n#[tokio::main]\nasync fn main() -> Result<()> {\n let agent = openai::Client::from_env()?\n .agent(openai::GPT_4O)\n .preamble(PREAMBLE)\n .build();\n\n let response = agent.prompt(PROMPT).await?.output;\n println!(\"{response}\");\n\n Ok(())\n}\n"}

Ledger

inspected unknown The repository's language is Rust, not Python, and it is a sizeable, active project (8,617 stars, pushed as recently as Sept 2026, MIT licensed).from: get_repo_metadata(0xPlaygrounds/rig)

reported for ⚙️🐠 Build modular and scalable LLM Applications in Rustfrom: get_repo_description(0xPlaygrounds/rig)

reported for Rig is a Rust library for building scalable, modular, and ergonomic LLM-powered applications, with agentic workflows and 20+ model providers under one interface.from: read_file(README.md)

inspected for The repo contains a large, real examples/ directory with dozens of runnable agent examples (agent, agent_with_tools, agent_with_memory, rag, multi_turn_agent, etc.).from: list_files(examples)

reported for The quickstart 'agent' example builds an OpenAI-backed agent via openai::Client::from_env()?.agent(openai::GPT_4O).preamble(...).build() and calls agent.prompt(PROMPT).await?, printing the model's response; comment notes it requires OPENAI_API_KEY.from: read_file(examples/agent/src/main.rs)

Facts

setup: 0.0s over 0 command(s), install not run or failed
disk: 0 MB cloned, 0 MB total
needs: api_key
exercised: Build modular and scalable LLM applications in Rust

Grounding critique

ran · not grounded · revised

The conclusion asserts 'unsupported_language' as a blocker (i.e., that the sandbox cannot build or run Rust), but no tool call in the evidence attempted to compile or execute the Rust example, nor did any tool return an error indicating Rust is unsupported. This blocker is inferred/asserted rather than demonstrated by the gathered evidence.