Skip to main content

3tears-models

LangChain-native AI model factories for the 3tears framework. Build chat and embedding models from a single call, with capability metadata, circuit breakers, error translation, and usage tracking wired in.

pip install 3tears-models

What you get

  • Factories -- create_chat_model() and create_embedding_model() return standard LangChain BaseChatModel / Embeddings instances. No custom runtime protocols to learn.
  • Providers -- Anthropic, OpenAI, OpenRouter, VoyageAI, Whisper, and image backends (OpenAI Images, HuggingFace, A1111, ModelsLab, ComfyUI).
  • Capability registry -- get_capabilities(), register_capabilities(), and per-model overrides describe context windows, vision support, tool support, and tier.
  • Circuit breakers -- CircuitBreaker and CircuitBreakerRegistry trip on repeated provider failures and recover on a timer.
  • Usage tracking -- UsageTracker.record() emits an OpenTelemetry span plus Prometheus instruments, with optional per-application audit and counter sinks.
  • Message hygiene -- preprocess_messages(), enforce_alternating_roles(), filter_invalid_tool_calls(), and streaming chunk helpers (parse_chunk, merge_chunks).

Quickstart

from threetears.models import create_chat_model, create_embedding_model

chat = create_chat_model("claude-sonnet-4-6")
reply = await chat.ainvoke("Summarize three-tier caching in one sentence.")

embedder = create_embedding_model("voyage-3")
vectors = await embedder.aembed_documents(["first doc", "second doc"])

Capabilities, circuit breakers, and usage tracking attach automatically. Reach for the registry and tracker APIs directly when you need to inspect or override them.

License

MIT. See LICENSE.

Download files

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

Source Distribution

3tears_models-0.36.0.tar.gz (180.5 kB view details)

Uploaded Source

Built Distribution

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

3tears_models-0.36.0-py3-none-any.whl (113.1 kB view details)

Uploaded Python 3

File details

Details for the file 3tears_models-0.36.0.tar.gz.

File metadata

  • Download URL: 3tears_models-0.36.0.tar.gz
  • Upload date:
  • Size: 180.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for 3tears_models-0.36.0.tar.gz
Algorithm Hash digest
SHA256 6335946ab30282d0cfeeb4cfb5f80d0f873a3292fb92a3a65a81fee3827532d5
MD5 ca6d21582d2e9c908497b77e858f0297
BLAKE2b-256 46ca1b70e6f89afe668a5524d2dd9a6e6a55c7164be302e67cacd96a9d08f684

See more details on using hashes here.

Provenance

The following attestation bundles were made for 3tears_models-0.36.0.tar.gz:

Publisher: release.yml on pacepace/3tears

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

File details

Details for the file 3tears_models-0.36.0-py3-none-any.whl.

File metadata

  • Download URL: 3tears_models-0.36.0-py3-none-any.whl
  • Upload date:
  • Size: 113.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for 3tears_models-0.36.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5e6f69a39627962ebaa3fd45ca8927fd64f1fb33dc3831782baa60f9aa45d26c
MD5 d0db3cbfd2461ae4a15718e707970aa0
BLAKE2b-256 8996f2a491dd81d9b2663246d6f228414e01d42771ab1e5c77f66bddb3c85416

See more details on using hashes here.

Provenance

The following attestation bundles were made for 3tears_models-0.36.0-py3-none-any.whl:

Publisher: release.yml on pacepace/3tears

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

Release history Release notifications | RSS feed

0.41.4

2 files

0.41.3

2 files

0.41.2

2 files

0.41.1

2 files

0.41.0

2 files

0.40.0

2 files

0.39.0

2 files

0.38.0

2 files

0.37.0

2 files

This release

0.36.0 This release

2 files

0.35.1

2 files

0.35.0

2 files

0.34.0

2 files

0.33.0

2 files

0.32.1

2 files

0.32.0

2 files

0.31.0

2 files

0.30.1

2 files

0.30.0

2 files

0.29.0

2 files

0.28.0

2 files

0.27.0

2 files

0.26.1

2 files

0.26.0

2 files

0.25.0

2 files

0.24.7

2 files

0.24.6

2 files

0.24.5

2 files

0.24.4

2 files

0.24.3

2 files

0.24.2

2 files

0.24.1

2 files

0.24.0

2 files

0.23.11

2 files

0.23.10

2 files

0.23.9

2 files

0.23.8

2 files

0.23.7

2 files

0.23.6

2 files

0.23.5

2 files

0.23.3

2 files

0.23.2

2 files

0.23.1

2 files

0.23.0

2 files

0.22.5

2 files

0.22.4

2 files

0.22.3

2 files

0.22.2

2 files

0.22.1

2 files

0.22.0

2 files

0.21.0

2 files

0.20.0

2 files

0.19.4

2 files

0.19.3

2 files

0.19.2

2 files

0.19.1

2 files

0.19.0

2 files

0.18.0

2 files

0.17.9

2 files

0.17.8

2 files

0.17.7

2 files

0.17.6

2 files

0.17.5

2 files

0.17.4

2 files

0.17.3

2 files

0.17.2

2 files

0.17.1

2 files

0.17.0

2 files

0.16.1

2 files

0.16.0

2 files

0.15.0

2 files

0.14.1

2 files

0.14.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page