Callable-to-openai-function-calling-template
A Python utility that converts a user-defined Python function (using a specific docstring template and type annotations) into an OpenAI tool-calling compatible JSON schema/representation (function or tool format).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No network/API access described, but the tool-calling schema includes/describes function docstrings that may contain sensitive instructions/data. Also, the README warns about caution with arbitrary code in docstrings; while this library primarily parses docstrings/signatures, unsafe or overly permissive patterns in a broader workflow could still lead to security issues. No claims about dependency auditing, CVEs, or secret logging are provided in the supplied content.
⚡ Reliability
Best When
When you already have Python functions with consistent docstring formatting and want deterministic schema generation for OpenAI-style tool calling.
Avoid When
When your function docstrings do not match the expected template exactly, or you need robust handling of complex/heterogeneous Python type constructs beyond what the library supports.
Use Cases
- • Generating OpenAI function/tool-calling schemas from Python functions for LLM agents
- • Fine-tuning/inference workflows that require a consistent function-calling JSON template
- • Reducing manual work translating function signatures + docstrings into OpenAI tool schemas
Not For
- • Production-grade function execution/execution environments (it only generates schemas, not safe execution)
- • Handling arbitrary docstrings/signatures that do not follow the expected template (the output may be incorrect)
- • Services that require network-based authentication or rate-limited APIs
Interface
Authentication
No authentication is described; this is a local/offline schema-generation library.
Pricing
No pricing information provided.
Agent Metadata
Known Gotchas
- ⚠ Docstring must match the expected template 'exactly' (including whitespace/empty lines) for correct parsing.
- ⚠ Behavior may differ based on get_tool_format vs direct function format expectations.
- ⚠ Library intentionally strips 'extra checks' compared to LangChain; malformed annotations/docstrings may yield incorrect schemas without clear remediation.
Alternatives
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Scores are editorial opinions as of 2026-04-04.