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by Text2SqlAgent · Agent Tool · ★ 154
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text2sql Until recently, LLMs couldn't reliably chain more than a handful of tool calls before losing the thread. Though frontier models now make dozens, hundreds, or even thousands of iterative tool calls from a single prompt, reading each result and deciding what to do next. This unlocks a different shape of text-to-SQL system: instead of pre-computing which schema elements are relevant, you can hand the LLM one tool () and let it explore the schema, write queries, test them against real data, and self-correct before returning a final answer. This SDK requires no RAG, semantic layer, schema descriptions, etc. All that is needed is a connection string and a frontier model, as shown in the example below. 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). 19/20 (95%) on Spider zero-shot across 80 tables and 20 databases. 20/20 after adding one scenario. python from text2sql import TextSQL engine = TextSQL( "postgresql://user:pass@localhost/mydb", tracefile="traces
| Stars | 154 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.7243375896638/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-18 |
| Created | 2026-03-23 |
| Platforms | python |
| Est. Tokens | ~16k |
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text2sql-framework is 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 . It is categorized as a Agent Tool with 154 GitHub stars.
text2sql-framework is primarily written in Python. It covers topics such as agentic-ai, llm, llm-agents.
You can find installation instructions and usage details in the text2sql-framework GitHub repository at github.com/Text2SqlAgent/text2sql-framework. The project has 154 stars and 17 forks, indicating an active community.
text2sql-framework is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to text2sql-framework on Agent Skills Hub include cognidb, MCP-PostgreSQL-Ops, wren-engine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.