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-0.35.0.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-0.35.0-py3-none-any.whl (113.1 kB view details)

Uploaded Python 3

File details

Details for the file 3tears_models-0.35.0.tar.gz.

File metadata

  • Download URL: 3tears_models-0.35.0.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-0.35.0.tar.gz
Algorithm Hash digest
SHA256 3501f749e370bb9decff3690da475ec76fee86023e4327d0096cb2991c983c59
MD5 7039c95219ed2040f145a4768494c568
BLAKE2b-256 93a009b09203d9f79df8fe40df09c7a5c457cc8cb5fce79e3704c84ac3ef480f

See more details on using hashes here.

Provenance

The following attestation bundles were made for 3tears_models-0.35.0.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-0.35.0-py3-none-any.whl.

File metadata

  • Download URL: 3tears_models-0.35.0-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-0.35.0-py3-none-any.whl
Algorithm Hash digest
SHA256 524190a88f21b9078bcbcfa8e1c3267f955b29f6d38781774a077a5f3edc1838
MD5 feba5c9c2d5dc0e35aa56635a43bd8a4
BLAKE2b-256 4cc0094d6bc695e751344be0d224e0fe0d05ab1252f4350a866a301bd499180d

See more details on using hashes here.

Provenance

The following attestation bundles were made for 3tears_models-0.35.0-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

0.36.0

2 files

0.35.1

2 files

This release

0.35.0 This release

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