lmux 0.3.0

Core types, protocols, and utilities for the lmux language model multiplexer

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)
• AssistantMessage: assistant message with optional tool calls
• ToolMessage: tool result

Responses

• ChatResponse: chat completion result with content, usage, cost, model, provider, finish_reason
• ChatChunk: streaming chunk with delta, tool_call_deltas, usage, cost
• 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
• per_million_tokens(): converts per-million price to per-token price
• calculate_cost(): calculates cost from usage and pricing

Tools

• Tool: function tool definition
• ToolCall / ToolCallDelta: tool call in responses and streaming
• FunctionDefinition / FunctionCallResult / FunctionCallDelta

Response Format

• TextResponseFormat / JsonObjectResponseFormat / JsonSchemaResponseFormat

Protocols

from lmux import CompletionProvider, EmbeddingProvider, ResponsesProvider, PricingProvider

• 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

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)

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