asyncbalancer 0.1.1b1

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asyncbalancer

⚠️ Warning: This package is currently not stable and may change without notice.
Use it at your own risk.

asyncbalancer is a lightweight package for routing requests across multiple providers while storing provider state in Redis.

Key features:

• provider selection based on availability and score,
• circuit breaker per provider,
• resource limits (tpm, rpm, etc.) with TTL,
• CLI for state inspection and manual state administration.

Requirements

• Python >= 3.12
• Redis (local or remote)

Installation

From the project root:

pip install -e .

After installation, the CLI command is available:

asyncbalancer --help

You can also run it directly as a module:

python3 -m asyncbalancer --help

Configuration

Configuration is loaded from the [tool.asyncbalancer] section in pyproject.toml (or config.toml).

Minimal example:

[tool.asyncbalancer]
driver = "redis"
resources_file = "./examples/config.json"
tier_order = ["free", "pro", "enterprise"]

[tool.asyncbalancer.drivers.redis]
host = "localhost"
port = 6379
db = 0

[tool.asyncbalancer.providers.gemini]
api_key = "your-api-key"
name = "gemini-2.5-flash"
tiers = ["pro", "enterprise"]

Tier-based provider access

You can control which providers are available for each user tier.

• tier_order defines the fallback order from lower to higher tier.
• each provider can define tiers to limit access.
• if a provider does not define tiers, it is treated as available for all tiers.

Example:

[tool.asyncbalancer]
tier_order = ["free", "pro", "enterprise"]

[tool.asyncbalancer.providers.gemma]
tiers = ["free", "pro", "enterprise"]

[tool.asyncbalancer.providers.gemini]
tiers = ["pro", "enterprise"]

[tool.asyncbalancer.providers.claude]
tiers = ["enterprise"]

How routing works:

1. Router reads user tier from ProviderRequest.tier (or ProviderRequest.options["tier"]).
2. It first tries providers assigned to that tier.
3. If no provider can handle the request, it falls back to lower tiers based on tier_order.

Examples with tier_order = ["free", "pro", "enterprise"]:

• user tier enterprise -> try enterprise, then pro, then free
• user tier pro -> try pro, then free
• user tier free -> try only free

If request tier is missing, tier filtering is skipped (all providers can be considered).

Defining resources in an external file

resources_file can point to a JSON or TOML file.
ASYNCBALANCER_RESOURCES_FILE is also supported.

Resources now support a period-based TTL model:

• period controls the quota window (secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, custom)
• for period="custom" you must provide explicit ttl (in seconds)
• timezone can be defined per provider (or globally); default is UTC
• for calendar periods (for example monthly), TTL is recalculated dynamically as seconds until end of current period in the configured timezone
• usage counters are reset automatically when a new period window starts

initial_ttl is still supported for backward compatibility.

JSON example (examples/config.json):

{
  "timezone": "UTC",
  "providers": {
    "gemini": {
      "timezone": "Europe/Warsaw",
      "resources": [
        { "name": "tpm", "value": 10000, "period": "monthly" },
        { "name": "rpm", "value": 500, "period": "hourly" },
        { "name": "rpms", "value": 100, "period": "custom", "ttl": 7200 }
      ]
    }
  }
}

Library usage

1. Register provider classes in ProviderRegistry.
2. Create an ApiRouter.
3. Call router.request(...).

Example:

import asyncio
from asyncbalancer import ApiRouter, ProviderRequest
from asyncbalancer.providers.provider_registry import ProviderRegistry
from asyncbalancer.providers.iprovider import IProvider
from asyncbalancer.models.client import ProviderResponse
from asyncbalancer.models.resource import ResourceUnitCosts, ResourceUnitCost


class MyProvider(IProvider):
    def __init__(self, api_key: str, name: str):
        self.api_key = api_key
        self.name = name

    async def request(self, request: ProviderRequest) -> ProviderResponse:
        return ProviderResponse(success=True, data={"text": "ok"}, latency=120, error=None)

    async def estimate_cost(self, request: ProviderRequest) -> ResourceUnitCosts:
        return ResourceUnitCosts(costs={"tpm": ResourceUnitCost(key="tpm", amount=20)})

    async def get_costs(self, response: ProviderResponse) -> ResourceUnitCosts:
        return ResourceUnitCosts(costs={"tpm": ResourceUnitCost(key="tpm", amount=24)})


ProviderRegistry.register("gemini", MyProvider)


async def main():
    router = ApiRouter()
    response = await router.request(ProviderRequest(payload={"prompt": "Hello"}))
    print(response)


asyncio.run(main())

CLI commands

Show all commands:

asyncbalancer --help

show-state

Shows current state for a provider.

asyncbalancer show-state gemini

reset-state

Resets provider state to values from config/resources.

asyncbalancer reset-state gemini

Dry-run mode:

asyncbalancer reset-state gemini --dry-run

set-resource-used

Sets used for a resource and recalculates score.

asyncbalancer set-resource-used gemini tpm 1200

adjust-resource-used

Increments/decrements used by delta and recalculates score.

asyncbalancer adjust-resource-used gemini tpm 150
asyncbalancer adjust-resource-used gemini tpm -80

set-resource-ttl

Sets resource ttl (and updates created_at to now) and recalculates score.

asyncbalancer set-resource-ttl gemini tpm 3600

sync-config

Synchronizes limits from config into Redis state:

• updates limits (capacity, ttl),
• keeps current usage (used, reserved) unchanged,
• recalculates score,
• prints state after update.

Single provider:

asyncbalancer sync-config --provider gemini

All providers:

asyncbalancer sync-config

CLI exit codes

• 0 success
• 1 provider state not found / no providers found
• 2 argument or configuration validation error

Locking note

State-mutating commands (set-resource-used, adjust-resource-used, set-resource-ttl, sync-config) wait for a provider lock before writing state to avoid clobbering concurrent updates.