CAMP Python SDK

Official Python client for CAMP — Career AI Model Platform — 7 career-native model families behind a standard chat-completions/embeddings request shape, plus live demo and media-generation endpoints.

Install

pip install careerstudiomax-camp

Quickstart

from camp import CampClient

client = CampClient(api_key="sk_live_your_key_here")

resp = client.chat_completions(
    model="careerlm-base",
    messages=[{"role": "user", "content": "Write a cover letter opener for a Senior PM role"}],
)
print(resp["choices"][0]["message"]["content"])

What you can do

Deep reasoning

Pass reasoning=True to chat_completions() to raise the internal model's effort/complexity tier for that one call — useful for a genuinely hard question where the default fast path isn't giving you enough depth. Off by default, real added latency per call, no extra cost (it's still the same self-hosted model, just told to think harder — never escalates to an external provider).

resp = client.chat_completions(
    model="careerlm-base",
    messages=[{"role": "user", "content": "Compare 3 career paths for a mid-level backend engineer, with tradeoffs"}],
    reasoning=True,
)

Streaming

def on_chunk(event):
    print(event.get("text", ""), end="", flush=True)

client.chat_completions_stream(on_chunk, messages=[{"role": "user", "content": "Draft a resignation letter"}])

Errors

from camp import CampClient, CampError

try:
    client.score(cv_text)
except CampError as e:
    print(e.status, str(e))

Context manager

with CampClient(api_key="...") as client:
    ...

Full endpoint reference: camp.careerstudiomax.com/docs