matrx-batch

Cost-shield foundation for AI workloads in the Matrx ecosystem.

Three primitives:

OpenAI Batch API + Anthropic Message Batches — submit JSONL, poll status, fetch results. Async wrappers over the provider SDKs.
Urgency router — BatchRouter.submit(job) routes a job to live inference, to the provider's Batch API (50% discount, 24h SLA), or makes a cost-based decision automatically.
Embedding cache — content-addressable (SHA256 of model || text) reuse of embedding vectors across the org. Backed by rag.embedding_cache via a host-supplied asyncpg pool.

Dependency posture

matrx-batch sits one notch above matrx-utils in the dependency graph and is consumed by matrx-rag (embedding cache) and matrx-ai (urgency router, future). It MUST NOT import from aidream/ or from any other matrx-* sibling — every cross-boundary dependency comes in via matrx_batch.configure(...).

Usage (host-side wiring)

import matrx_batch
from openai import AsyncOpenAI
from anthropic import AsyncAnthropic

matrx_batch.configure(
    openai_client=AsyncOpenAI(api_key=settings.OPENAI_API_KEY),
    anthropic_client=AsyncAnthropic(api_key=settings.ANTHROPIC_API_KEY),
    pool_factory=lambda: get_async_pg_pool(),
    cost_check=_aidream_budget_precheck,
)

# Wire the cache into matrx-rag's embed() funnel
import matrx_rag
matrx_rag.configure(embedding_cache=matrx_batch.get_embedding_cache())

Usage (consumer)

from matrx_batch import BatchRouter, BatchableJob

router = BatchRouter()
receipt = await router.submit(
    BatchableJob(
        kind="chat",
        provider="anthropic",
        urgency="auto",
        payload={"model": "claude-haiku-4-5", "messages": [...]},
        estimated_tokens_in=8200,
    )
)

Release files for matrx-batch 0.2.93

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Source distribution (sdist)

Source distribution for matrx-batch 0.2.93
File	Size	Uploaded
matrx_batch-0.2.93.tar.gz	82.8 kB	Sep 17, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for matrx-batch 0.2.93
File	Interpreter	ABI	Platform	Reset
matrx_batch-0.2.93-py3-none-any.whl 72.5 kB Sep 17, 2026	Python 3	none	any	Details

Total release size: 155.3 kB

Release files / matrx_batch-0.2.93.tar.gz

Download URL	matrx_batch-0.2.93.tar.gz
Size	82.8 kB
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SHA-256 checksum How to use checksums	`0aea42e37aaa0c8eede48315624cd14fd470ba1b7ffdf8d3d2edb0b94c32b606`
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Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing commit: github.com/AI-Matrix-Engine/aidream/tree/9b69d60f7d6520fc9a7c9c4dea336f7c7139b3c2

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Release files / matrx_batch-0.2.93-py3-none-any.whl

Download URL	matrx_batch-0.2.93-py3-none-any.whl
Size	72.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`970355a6c6872f8386e617c1f47b99d427bb4b64e4074efa065e008fda2bcf24`
BLAKE2b-256 checksum How to use checksums	`ac00998ea8402b75690b9eb9407ae73c6585aa82566105ae96430ee6db9deafc`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/AI-Matrix-Engine/aidream
Publishing commit: github.com/AI-Matrix-Engine/aidream/tree/9b69d60f7d6520fc9a7c9c4dea336f7c7139b3c2

Workflow

Publishing configuration: github.com/AI-Matrix-Engine/aidream/blob/9b69d60f7d6520fc9a7c9c4dea336f7c7139b3c2/.github/workflows/publish-package.yml
Publishing logs: github.com/AI-Matrix-Engine/aidream/actions/runs/35251792660/attempts/1

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Subject: matrx_batch-0.2.93-py3-none-any.whl
SHA-256 checksum: 970355a6c6872f8386e617c1f47b99d427bb4b64e4074efa065e008fda2bcf24 Verifying attestations