flowith-webapi 1.0.1

Unofficial async Python client for the Flowith.io web app

flowith

An unofficial async Python client for the Flowith.io web application.

Disclaimer: This library reverse-engineers the Flowith.io browser API. It is not affiliated with or endorsed by Flowith. Use responsibly.

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Features

• Text generation — single-turn and multi-turn, streaming and non-streaming
• Image generation — Gemini, GPT Image, and more
• Video generation — Seedance, Kling, etc.
• File upload — POST /file/store with multipart support
• Conversation management — create, list, rename, delete
• Flow canvas — read node graph for any conversation
• Credits & models — fetch balance, browse model catalog
• Templates — list and filter prompt templates
• Profile & subscriptions — read/update profile, list grants
• Supabase content — notices, projects, discussions, oracle stream
• Daily rewards — claim and check status
• Account auth — OAuth URL, auth user, refresh token
• Real-time SSE — listen on /user_stream/stream for live generation events
• Async-first — built on aiohttp, zero blocking calls

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Installation

pip install flowith_webapi

Requires Python 3.10+.

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Authentication

1. Sign in at flowith.io with Google.
2. After the OAuth redirect, copy the access_token from the URL hash:

   https://flowith.io/#access_token=eyJhbGci...&...
   

3. Your user ID (sub claim in the JWT) is also needed for SSE streaming — it is parsed automatically from the JWT if you do not supply it explicitly.

To enable token rotation, also capture the refresh token from Supabase. Generate the OAuth URL with access_type=offline and prompt=consent so Google issues one on the first consent screen:

url = client.get_oauth_url(
    provider="google",
    redirect_to="https://flowith.io",
    access_type="offline",
    prompt="consent",
)
print(url)

import os
TOKEN   = os.environ["FLOWITH_TOKEN"]
USER_ID = os.environ["FLOWITH_USER_ID"]          # optional — parsed from JWT
REFRESH = os.environ.get("FLOWITH_REFRESH_TOKEN", "")

Keep these secret — they grant full access to your Flowith account.

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How it works (SSE architecture)

The Flowith web app maintains two persistent SSE connections:

Endpoint	Purpose
GET /user_stream/sse?user_id=…	Keepalive — emits {"heartbeat": …} every ~5 s
GET /user_stream/stream?user_id=…	Data channel — emits text_delta, result, image/video URLs

Both connections send the JWT as a bare token in the authorization header (no Bearer prefix) — this matches what the edge server expects.

When generate() is called the client:

1. Creates the Supabase conversation and user/AI node rows.
2. POSTs the completion request to /completion/async (returns immediately).
3. Listens on /user_stream/stream for events whose nodeId matches the AI node.
4. Falls back to polling flow_node on Supabase if the stream closes early.

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Quick start

import asyncio
from flowith_webapi import FlowithClient

async def main():
    async with FlowithClient(TOKEN, user_id=USER_ID, refresh_token=REFRESH) as client:
        r = await client.generate("What is the capital of Poland?")
        print(r.text)   # "Warsaw"

asyncio.run(main())

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Usage

Single-turn generation

r = await client.generate("Explain quantum entanglement in one sentence.")
print(r.text)
print(r.model)     # model ID used
print(r.conv_id)   # conversation UUID

Streaming

async for chunk in client.generate_stream("Write me a haiku about async Python."):
    print(chunk.text_delta, end="", flush=True)
print()

Multi-turn session

session = client.start_conversation(model="gemini-3.1-pro-preview")

r1 = await session.send("My name is Alice.")
r2 = await session.send("What is my name?")
print(r2.text)   # "Your name is Alice."

async for chunk in session.send_stream("Tell me a fun fact about Alice."):
    print(chunk.text_delta, end="", flush=True)
print()

Image generation

from flowith_webapi import ImageModel, AspectRatio

result = await client.generate_image(
    "A ripe banana on a marble surface, studio lighting",
    model=ImageModel.GEMINI_3_1_FLASH_IMAGE,
    aspect_ratio=AspectRatio.SQUARE,
)
await result.image.save("./outputs")
print(result.image.url)

Video generation

from flowith_webapi import VideoModel

video = await client.generate_video(
    "A cat walking on a sunny beach",
    model=VideoModel.SEEDANCE_2_FAST,
    timeout=300.0,
)
await video.save("./outputs")
print(video.video_url)

File upload

# Upload a local file and get a public CDN URL
record = await client.upload_file("my_game.html")
print(record.url)   # https://r2-bucket.flowith.net/f/…/my_game.html

# Reference the file in a generation
r = await client.generate(
    f"Review this HTML file: [[file:html|my_game.html|{record.url}]]"
)

# Rotate the access token (uses stored refresh token if not supplied)
if REFRESH:
    await client.refresh_access_token()

Conversations

# List recent conversations
convs = await client.list_conversations(limit=10)
for c in convs:
    print(c.conv_id, c.title)

# Read the flow-canvas node graph
nodes = await client.get_flow_nodes(conv_id)
for n in nodes:
    print(n.node_type, n.text[:80])

# Rename / delete
await client.rename_conversation(conv_id, "New Title")
await client.delete_conversation(conv_id)

Raw SSE streams

# Generation-data stream (/user_stream/stream) — heartbeats filtered out
async for evt in client.stream_user_stream(timeout=60):
    print(evt)

# Keepalive stream (/user_stream/sse) — heartbeats included
async for evt in client.stream_user_sse(timeout=60):
    print(evt)   # {"heartbeat": 1779127465201}

Credits & models

credits = await client.get_credits()
total = sum(c.remain_quota for c in credits)
print(f"Credits: {total:.2f}")

models = await client.list_models()
for m in models:
    print(m.model_id, m.title)

# Active subscriptions
subs = await client.list_subscription_user_own()
print(len(subs))

# Profile
profile = await client.get_user_profile()
print(profile.language)

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API reference

FlowithClient

Method	Description
generate(prompt, ...)	Single-turn text generation (waits for full result)
generate_stream(prompt, ...)	Streaming text generation (yields token-by-token)
generate_image(prompt, ...)	Image generation
generate_video(prompt, ...)	Video generation
generate_title(messages)	Auto-generate conversation title
upload_file(file_path, ...)	Upload file to CDN
start_conversation(...)	Create ConversationSession for multi-turn use
list_conversations(...)	List user conversations
get_conversation(conv_id)	Fetch single conversation
rename_conversation(conv_id, title)	Rename conversation
delete_conversation(conv_id)	Soft-delete conversation
get_flow_nodes(conv_id)	Read flow-canvas node graph
get_cooperators(conv_id)	List conversation collaborators
get_credits()	Fetch credit balances
get_credit_type()	Return credit-type string
get_auth_user()	Return Supabase auth user object
get_oauth_url(...)	Build Supabase OAuth authorization URL
refresh_access_token(refresh_token=None)	Rotate access token
logout(scope)	Revoke auth session
get_user_profile(user_id)	Fetch profile row
update_user_profile(**fields)	Update profile fields
list_user_upload_records(...)	List uploaded file records
list_subscription_user_own(...)	List active subscription grants
list_public_notices()	List public notices
list_flow_projects()	List flow projects
get_conv_novel_editor(conv_id)	Fetch novel-editor content
list_discuss(conv_id)	List discussion entries
get_oracle_stream(conv_id)	Fetch oracle stream entries
get_migration_info()	Fetch migration version
get_featurebase_status()	Featurebase changelog status
list_models(...)	Browse model catalog
list_templates(...)	Browse prompt templates
get_discord_invite()	Return Discord invite URL
get_daily_rewards_status()	Daily rewards status
claim_daily_reward()	Claim today's reward
check_campaign(model_id)	Check campaign eligibility
check_banana_campaign()	Banana-2025 campaign status
get_enterprise_dashboard()	Enterprise dashboard info
get_online_count()	Current online user count
upsert_online_session(payload)	Upsert online session (RPC)
remove_online_session(session_id)	Remove online session (RPC)
stream_user_stream(...)	Stream live generation events from /user_stream/stream
stream_user_sse(...)	Stream keepalive heartbeat events from /user_stream/sse

ConversationSession

Method / Property	Description
send(prompt, ...)	Send message, await full reply
send_stream(prompt, ...)	Send message, stream reply token-by-token
generate_image(prompt, ...)	Generate image in this conversation
generate_video(prompt, ...)	Generate video in this conversation
delete()	Delete the server-side conversation
.conv_id	Conversation UUID (created lazily on first send)
.model	Session model ID
.turn	Number of turns sent so far

Return types

Type	Key fields
GenerationOutput	text, text_delta, node_id, conv_id, model
ImageOutput	images: list[GeneratedImage], image (first item)
GeneratedImage	url, model; .save(dir) downloads to directory
VideoOutput	video_url, model; .save(dir) downloads to directory
FileRecord	url, file_type
ConversationRecord	conv_id, title, preview
FlowNode	node_id, node_type, text, model
UserCredits	remain_quota, init_quota, sub_type
ModelInfo	model_id, title, media, tier
TemplateRecord	template_id, name, category, prompt
CooperatorRecord	user_id, user_name, role
UserProfile	user_id, language
UserUploadRecord	record_id, name, file_type, created_at
SubscriptionUserOwn	record_id, remain_quota, subscription_type
PublicNotice	notice_id, title, content
FlowProject	project_id, title, updated_at
ConvNovelEditor	conv_id, content
DiscussRecord	discuss_id, conv_id, content
OracleStreamRecord	record_id, workflow, is_stop
MigrationInfo	version

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Error handling

from flowith_webapi import (
    AuthenticationError,
    RateLimitError,
    ValidationError,
    APIError,
    TimeoutError,
    FileUploadError,
)

try:
    r = await client.generate("Hello!")
except AuthenticationError:
    print("Invalid or expired token.")
except RateLimitError as e:
    print(f"Rate limited — retry in {e.retry_after_s}s")
except TimeoutError:
    print("Generation timed out.")
except APIError as e:
    print(f"API error {e.status_code}: {e}")

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Logging

import flowith_webapi
flowith_webapi.set_log_level("DEBUG")   # DEBUG | INFO | WARNING | ERROR

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Related projects

• 1MinAI-API — sister project for 1min.AI
• Claude-API — unofficial Claude.ai client