FluidTalk Characters — Python SDK

Official Python SDK for the FluidTalk Characters API — drive an AI persona across DMs, comments, triggers, and follow-ups from your own bot or connector.

Install

pip install fluidtalk

Quickstart

from fluidtalk import FluidTalk

ft = FluidTalk(token="ftc_live_...")          # base_url defaults to production

# A lead DM'd the character — get the reply and send the bubbles yourself.
reply = ft.chat(platform="instagram", handle="mark", message="hey ava")
for bubble in reply.bubbles:
    send_dm("mark", bubble.text)              # your platform I/O
print("session:", reply.session_id)

Your per-character connector token (ftc_live_…) is sent as X-Connector-Token; get it from the character's platform settings in the dashboard. The token is the character — you name the platform in each call.

API

Responses are returned as attribute-access objects unwrapped from the {data, request_id} envelope (reply.bubbles[0].text, res.decision); a missing field reads as None. Use .to_dict() for the raw dict.

Errors

Every non-2xx response raises a typed exception (all subclass FluidTalkError / ApiError):

from fluidtalk import FluidTalk, PaymentRequiredError, RateLimitError, ApiError

ft = FluidTalk(token="ftc_live_...")
try:
    reply = ft.chat(platform="instagram", handle="mark", message="hi")
except PaymentRequiredError:
    top_up_wallet()        # 402 — the wallet can't cover the turn
except RateLimitError:
    backoff_and_retry()    # 429
except ApiError as e:
    print(e.status, e.code, e.request_id, e.message)

AuthError (401), PaymentRequiredError (402), PermissionError (403), NotFoundError (404), ConflictError (409), ValidationError (422), RateLimitError (429), and ApiError (anything else).

Configuration

FluidTalk(
    token="ftc_live_...",
    base_url="https://api-talk.fluidvip.com",   # green: https://api-green-talk.fluidvip.com
    timeout=60.0,
)

Development

pip install -e ".[dev]"
pytest