feat(providers): add Groq as optional provider#94
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Install via `pip install dataframeit[groq]`. Works with `provider='groq'` and Groq's production Llama/GPT-OSS models plus agentic `groq/compound`. Default provider/model is unchanged. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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📝 WalkthroughWalkthroughThis pull request adds optional Groq LLM provider support to the project. Changes include documentation for both English and Portuguese versions, updated dependency configuration for Changes
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🧹 Nitpick comments (2)
docs/guides/providers.md (1)
12-12: Nit: tabela-resumo não listagroq/compound.A seção "Modelos Recomendados" (Linha 162) inclui
groq/compoundcomo modelo de produção, mas a tabela-resumo em Linha 12 não o menciona. Para consistência, considere adicioná-lo (ou uma nota de "...e outros").📝 Proposed change
-| Groq | `groq` | llama-3.3-70b-versatile, llama-3.1-8b-instant, openai/gpt-oss-120b, openai/gpt-oss-20b | +| Groq | `groq` | llama-3.3-70b-versatile, llama-3.1-8b-instant, openai/gpt-oss-120b, openai/gpt-oss-20b, groq/compound |🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/guides/providers.md` at line 12, The summary table row for "Groq | `groq`" is missing the `groq/compound` entry referenced later in the "Modelos Recomendados" section; update that table cell to include `groq/compound` (or append a trailing note like "…e outros") so the table and the "Modelos Recomendados" list stay consistent—locate the table row containing the text "Groq | `groq`" and add `groq/compound` to the comma-separated model list.CHANGELOG.md (1)
10-12: Add PR reference to the Groq entry.Other entries in this changelog (e.g.,
#77,#64) cite the associated issue/PR, and the coding guidelines require including issue/PR references. Please append(#94)to this entry.📝 Proposed change
-- **Suporte opcional a Groq**: novo provider disponível via `pip install dataframeit[groq]`. Use com `provider='groq'` e modelos como `llama-3.3-70b-versatile` ou `llama-3.1-8b-instant`. Requer `GROQ_API_KEY`. +- **Suporte opcional a Groq** (`#94`): novo provider disponível via `pip install dataframeit[groq]`. Use com `provider='groq'` e modelos como `llama-3.3-70b-versatile` ou `llama-3.1-8b-instant`. Requer `GROQ_API_KEY`.As per coding guidelines: "Always update
CHANGELOG.md... include issue/PR references".🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@CHANGELOG.md` around lines 10 - 12, Update the "Suporte opcional a Groq" changelog bullet by appending the PR reference "(`#94`)" to the end of that entry; locate the bullet containing the text "**Suporte opcional a Groq**" and modify its line so the sentence ends with "Requer `GROQ_API_KEY`. (`#94`)".
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In `@CHANGELOG.md`:
- Around line 10-12: Update the "Suporte opcional a Groq" changelog bullet by
appending the PR reference "(`#94`)" to the end of that entry; locate the bullet
containing the text "**Suporte opcional a Groq**" and modify its line so the
sentence ends with "Requer `GROQ_API_KEY`. (`#94`)".
In `@docs/guides/providers.md`:
- Line 12: The summary table row for "Groq | `groq`" is missing the
`groq/compound` entry referenced later in the "Modelos Recomendados" section;
update that table cell to include `groq/compound` (or append a trailing note
like "…e outros") so the table and the "Modelos Recomendados" list stay
consistent—locate the table row containing the text "Groq | `groq`" and add
`groq/compound` to the comma-separated model list.
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Configuration used: defaults
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Plan: Pro
Run ID: d43abd51-b31e-47de-a026-883764ad3193
📒 Files selected for processing (4)
CHANGELOG.mddocs/en/guides/providers.mddocs/guides/providers.mdpyproject.toml
1 participant
Summary
groqcomo extra opcional empyproject.toml(pip install dataframeit[groq]) e incluilangchain-groq>=0.2.0no extraall.docs/guides/providers.mdedocs/en/guides/providers.mdcom os modelos atualmente disponíveis no Groq (produção:llama-3.3-70b-versatile,llama-3.1-8b-instant,openai/gpt-oss-120b,openai/gpt-oss-20b,groq/compound; preview:meta-llama/llama-4-scout-17b-16e-instruct,qwen/qwen3-32b).CHANGELOG.mdsob[Unreleased].Não altera o default (
provider='google_genai'/model='gemini-3-flash-preview');langchain-groqcontinua fora das dependências obrigatórias.Substitui #86 (fechado), que tentava tornar Groq o default e embarcava
langchain-groqcomo dependência obrigatória.Test plan
uv sync --extra groqinstalalangchain-groqegroq.uv run pytestpassa (247 passed, 5 skipped).from langchain_groq import ChatGroq+validate_provider_dependencies("groq")funcionam.provider='groq'eGROQ_API_KEYválida.🤖 Generated with Claude Code
Summary by CodeRabbit
pip install dataframeit[groq], configure theGROQ_API_KEYenvironment variable, and specifyprovider='groq'in calls. Documentation includes setup instructions, usage examples, and recommended model listings for both production and preview tiers.