hired.content

Content generation logic and AI agent implementations.

Implement:

• DefaultAIAgent: Basic implementation using local LLM or API

• content source factories for common formats

• content extraction and filtering utilities

Classes

DefaultAIAgent(*[, model, api_key])	Default AI agent implementation (mock).
DictContentSource(data)	Implements ContentSource for dictionary data.
FileContentSource(path)	Implements ContentSource for file-based data.
LLMResumeAgent(*[, model, client, api_key])	AI agent that tailors a candidate's profile to a job via an LLM.

class hired.content.DefaultAIAgent(*, model='default', api_key=None)

Bases: object

Default AI agent implementation (mock).

class hired.content.DictContentSource(data)

Bases: object

Implements ContentSource for dictionary data.

class hired.content.FileContentSource(path)

Bases: object

Implements ContentSource for file-based data.

class hired.content.LLMResumeAgent(*, model='gpt-4o-mini', client=None, api_key=None)

Bases: object

AI agent that tailors a candidate’s profile to a job via an LLM.

Opt-in alternative to DefaultAIAgent (which is a pass-through). It is dependency-injected and lazy: openai is imported only when an agent is used without an injected client, so importing hired never requires openai, and no API key is read at construction time. Inject a client (anything exposing the OpenAI-style chat.completions.create) to test without network or secrets.

>>> class _FakeClient:
...     class chat:
...         class completions:
...             @staticmethod
...             def create(**_):
...                 ...