Skip to main content

lmux

Core types, protocols, and utilities for the lmux ecosystem.

You don't need to install this directly; provider packages (e.g., lmux-openai) include it as a dependency. Install it only if you're building a custom provider.

Types

Messages

  • SystemMessage: system/instruction message
  • DeveloperMessage: developer message (for o-series models)
  • UserMessage: user message, supports text and multimodal content (TextContent, ImageContent, CachePointContent)
  • AssistantMessage: assistant message with optional tool calls
  • ToolMessage: tool result

Responses

  • ChatResponse: chat completion result with content, usage, cost, model, provider, finish_reason, and optional provider_metadata (a provider-specific BaseProviderMetadata subclass)
  • ChatChunk: streaming chunk with delta, tool_call_deltas, usage, cost, plus the serving model/provider stamped on the terminal chunk and optional provider_metadata
  • EmbeddingResponse: embedding result with embeddings, usage, cost
  • ResponseResponse: Responses API result with output_text, usage, cost

Cost

  • Usage: token counts (input_tokens, output_tokens, cache_read_tokens, cache_creation_tokens)
  • Cost: cost breakdown (input_cost, output_cost, total_cost, plus cache costs)
  • ModelPricing / PricingTier: tiered pricing configuration
  • PricingSchedule: dated price overrides for models whose rate changes on a known date (e.g. an introductory rate)
  • per_million_tokens(): converts per-million price to per-token price
  • calculate_cost(): calculates cost from usage and pricing; pass as_of=<date> to bill at the rate in effect on that day (defaults to the latest schedule)

Tools

  • Tool: function tool definition
  • ToolChoice / ToolChoiceFunction: control whether and which tool the model calls
  • ToolCall / ToolCallDelta: tool call in responses and streaming
  • FunctionDefinition / FunctionCallResult / FunctionCallDelta

Response Format

  • TextResponseFormat / JsonObjectResponseFormat / JsonSchemaResponseFormat

Protocols

from lmux import CompletionProvider, EmbeddingProvider, ResponsesProvider, PricingProvider, AsyncCloseable
  • CompletionProvider[ParamsT]: chat, achat, chat_stream, achat_stream
  • EmbeddingProvider[ParamsT]: embed, aembed
  • ResponsesProvider[ParamsT]: create_response, acreate_response
  • PricingProvider: register_pricing
  • AuthProvider[AuthT]: get_credentials, aget_credentials
  • AsyncCloseable: aclose

All are @runtime_checkable, so you can use isinstance() to check support.

Registry

Route "prefix/model" strings to provider instances:

from lmux import Registry

registry = Registry()
registry.register("openai", openai_provider)
registry.register("anthropic", anthropic_provider)

response = registry.chat("openai/gpt-4o", messages)
response = registry.chat("anthropic/claude-sonnet-4-20250514", messages)

# Close all providers that implement AsyncCloseable
await registry.aclose()

registry.registered_prefixes returns a frozenset of the registered prefixes, useful for a composite provider that validates its delegation targets.

Exceptions

All exceptions inherit from LmuxError and carry optional provider and status_code fields:

  • AuthenticationError
  • RateLimitError (with retry_after)
  • InvalidRequestError
  • NotFoundError
  • ProviderError
  • TimeoutError
  • UnsupportedFeatureError

MockProvider

Built-in mock for testing. Implements all protocols with configurable responses and call tracking.

from lmux import MockProvider, ChatResponse

mock = MockProvider(chat_responses=[ChatResponse(...)])
response = mock.chat("any-model", messages)
assert len(mock.calls) == 1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lmux-0.9.0.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lmux-0.9.0-py3-none-any.whl (15.5 kB view details)

Uploaded Python 3

File details

Details for the file lmux-0.9.0.tar.gz.

File metadata

  • Download URL: lmux-0.9.0.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for lmux-0.9.0.tar.gz
Algorithm Hash digest
SHA256 baea8d35bf1835e0f2f4fd3b744d2f259c6fa1baa22d64827ae8d75a894a6694
MD5 e7821299fcb920a9b70084ff4a264f6d
BLAKE2b-256 5003a966d3aec120d4035a16d776559aa893ca1b7b9f46fde1cec23938e42024

See more details on using hashes here.

Provenance

The following attestation bundles were made for lmux-0.9.0.tar.gz:

Publisher: publish.yml on cluebbehusen/lmux

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file lmux-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: lmux-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 15.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for lmux-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 484ef8bcd5890cafc048499170a59724c95477b36a0c64b9faa44969cbc5a181
MD5 d7f5b3785ed89fefaad388fe6ff8e05b
BLAKE2b-256 322ed75bcad8b6b29a365ee84dbc2b1da330de85d28beac7314fa44bc197e1f4

See more details on using hashes here.

Provenance

The following attestation bundles were made for lmux-0.9.0-py3-none-any.whl:

Publisher: publish.yml on cluebbehusen/lmux

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page