[bot] Add AI21 Labs Python SDK integration for chat completions and embeddings instrumentation (54,424 weekly downloads)
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Avaliação
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Facilidade para iniciantes
- 48/100
- Tipo de issue
- Funcionalidade
- Clareza
- Razoavelmente clara
- Status de atividade
- Pouca atividade
- Stack de tecnologia
- python
- Domínio
- observability
Direção de pesquisa
Comece comparando os padrões de integração de OpenAI ou Mistral em py/src/braintrust/integrations/ e, em seguida, inspecione py/noxfile.py e os arquivos de registro e versionamento da integração mencionados na issue. Implemente suporte para chat completions síncronas e assíncronas, streaming e embeddings, incluindo os metadados documentados, e adicione os testes, o registro, a entrada de versão e a entrada na matriz de dependências da integração.
Escrita pelo modelo de indexação a partir do texto da issue.
Descrição
Summary
The AI21 Python SDK (ai21) is the official Python client for AI21 Labs' inference platform, which provides the Jamba model family — hybrid SSM-Transformer models optimized for long-context tasks and high throughput. Its AI21Client and AsyncAI21Client expose client.chat.completions.create() and client.embed.create() APIs. This repository has zero instrumentation for any AI21 SDK surface — no integration directory, no wrapper, no patcher, no auto_instrument() support.
AI21's Python SDK uses its own client class (ai21.AI21Client), which is not a subclass of openai.OpenAI, so wrap_openai() cannot be used with it. The pattern is the same as Groq, Mistral, and OpenRouter — OpenAI-compatible endpoint but a distinct Python client requiring a dedicated integration. Users who follow AI21's official documentation and pip install ai21 get zero Braintrust tracing.
What needs to be instrumented
The ai21 package exposes these execution surfaces via AI21Client and AsyncAI21Client, none of which are instrumented:
Chat completions (highest priority)
| SDK Method | Description | Streaming | Return type |
|---|---|---|---|
client.chat.completions.create() |
Chat completions with tool calling, structured output, and document grounding | stream=True returns Stream[ChatCompletionChunk] |
ChatCompletion |
Response shape is OpenAI-compatible: ChatCompletion has choices, usage (prompt_tokens, completion_tokens, total_tokens), model, id — standard span metrics extraction follows the OpenAI pattern.
Streaming: stream=True returns a Stream[ChatCompletionChunk] iterator. The integration must handle the streaming span lifecycle.
Embeddings
| SDK Method | Description | Return type |
|---|---|---|
client.embed.create() |
Text embeddings generation for semantic search and RAG | EmbedResponse |
Both sync (AI21Client) and async (AsyncAI21Client) clients exist with identical method signatures.
Implementation notes
Stainless-generated SDK (v3.x): The ai21 v3.x package (current major version) is generated by Stainless (same toolchain as OpenAI, Groq, Mistral). The client structure mirrors the OpenAI SDK, so the patcher/wrapper pattern from the OpenAI or Mistral integration can serve as a close structural reference.
chat.completions.create() parameters relevant for span metadata: model, temperature, max_tokens, top_p, frequency_penalty, presence_penalty, n, stop, tools, tool_choice, response_format, documents (AI21-specific grounding feature).
Document grounding: The documents parameter is AI21-specific and allows grounding responses in provided documents. This should be captured in span input metadata when present.
Model family: Jamba 1.6 Large and Jamba 1.6 Mini are the primary models. Response model field should be captured in span metadata.
No coverage in any instrumentation layer
- No integration directory (
py/src/braintrust/integrations/ai21/) - No wrapper function (e.g.
wrap_ai21()) - No patcher in any existing integration
- No nox test session (
test_ai21) - No version entry in
py/src/braintrust/integrations/versioning.py - No mention in
py/src/braintrust/integrations/__init__.py - No entry in
[tool.braintrust.matrix]inpy/pyproject.toml
A grep for ai21 across py/src/braintrust/ returns zero matches.
Braintrust docs status
not_found — AI21 is not listed on the Braintrust integrations directory or the tracing guide.
Upstream references
- AI21 Python SDK on PyPI: https://pypi.org/project/ai21/
- AI21 Python SDK on GitHub: https://github.com/AI21Labs/ai21-python
- AI21 API reference: https://docs.ai21.com/reference/
- AI21 Chat Completions docs: https://docs.ai21.com/reference/jamba-15-api-ref
- AI21 Embeddings docs: https://docs.ai21.com/reference/embeddings-ref
- AI21 SDK quickstart: https://docs.ai21.com/docs/quickstart
Local repo files inspected
py/src/braintrust/integrations/— noai21/directory exists onmainpy/src/braintrust/wrappers/— no AI21 wrapperpy/noxfile.py— notest_ai21sessionpy/src/braintrust/integrations/__init__.py— AI21 not listed in integration registrypy/src/braintrust/integrations/versioning.py— no AI21 version matrixpy/pyproject.toml— no AI21 entries in[tool.braintrust.matrix]- Full repo grep for "ai21" across
py/src/braintrust/— zero matches
- Linguagem predominante
- Python
- Estrelas
- 21
- Forks
- 23
- Merge médio
- 20h 8min
- PRs com merge (30d)
- 94
Preparar o ambiente
- Inclui um Dockerfile ou arquivo Docker Compose
- Sem modelo de pull request
- Ler o guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
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