Text2SqlAgent / text2sql-framework
Agentic text-to-SQL SDK: hand the LLM one execute_sql tool and let it explore the schema, test queries, and self-correct — no RAG, no semantic layer. 20/20 on an 80-table Spider run. Built-in tracing and scenario support.
Why this job: says: rag
What it does
As models keep getting better at recursive tool use, the right move is to keep rearchitecting the harness so it constrains the LLM as little as possible (every guardrail you remove is capability you get back).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 164
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.0
- Released 3 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 8 merged
- 2 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- agentic-ai
- llm
- llm-agents
- nl2sql
- python
- sql
- text-to-sql
- text2sql
Project record
- JobRAG and search
- StatusListed
- Commits54
- Forks22
- Watching0
- Stars in 28 days+3
- CreatedMar 23, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026