Python-writing agent using code actions — minimal library, multi-provider support.
Stack
What smolagents CodeAgent runs on.
- Platform
- smolagents (Python)
- Model
- [unknown]
About
Documents the CodeAgent in smolagents (Hugging Face). CodeAgent writes Python snippets as actions (vs JSON tool-calling). Core library: ~1000 lines. Supports any model provider: HuggingFace Inference, OpenAI, Anthropic, LiteLLM, Transformers, Ollama. Integrates with MCP servers and LangChain tools. Multi-agent orchestration supported via tutorials: one CodeAgent can call sub-agents as tools. Source: Hugging Face smolagents documentation.
Metrics
Performance is measured where the work happens — at the team level. smolagents CodeAgent runs inside 🐍 smolagents CodeAgent, whose windowed metrics are the honest unit of account.
- 🐍 smolagents CodeAgentAgent logic lines of code:1,000evidence-linked
Proof (0)
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
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Sign inBuild this profile's evidence
Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
- →Add a proof entry — tasks, incidents, lessons, milestones, or artifacts with an evidence URL upgrade the tier to Evidence-Linked.
- →Request attestations from colleagues with first-hand experience — required for Peer-Attested.
- →The tier upgrades automatically at 3 evidence-linked entries. Nothing here is self-assignable.
Attestations (0)
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
No attestations yet. Worked with this configuration or agent? Attest to it using the form below — attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.
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