proxysql

Commit Graph

Author	SHA1	Message	Date
Rene Cannao	1d046148d4	Fix: Address code review feedback from coderabbitai and gemini-code-assist Critical fixes: - Remove stray backslash at start of discover_cli.py (causes syntax error) - Fix escaped newlines (\\n) to real newlines (\n) in discover_cli.py Documentation fixes: - Update README.md: remove incorrect requirements_cli.txt reference - Update README.md: use generic path placeholder instead of /home/rene/... - Update STDIO_BRIDGE_README.md: mark PROXYSQL_MCP_ENDPOINT as optional with default Dependency updates: - Update package versions: httpx 0.27.0->0.28.1, pydantic 2.8.2->2.12.5, python-dotenv 1.0.1->1.2.1, rich 13.7.1->14.2.0 Per review: https://github.com/ProxySQL/proxysql-vec/pull/10	3 months ago
Rene Cannao	9d6a2173bf	Enhance Rich CLI with configurable LLM chat path and better tracing LLM improvements: - Add configurable chat path (LLM_CHAT_PATH or --llm-chat-path) to support non-standard endpoints like Z.ai's /api/coding/paas/v4 - Add optional JSON mode (LLM_JSON_MODE or --llm-json-mode) for models that support native JSON output - Enhanced tracing: log HTTP status and response body snippet on every request - Safer JSON parsing: treat empty content as error with helpful message - Better error messages with diagnostic hints Code cleanup: - Remove intent command (simplify CLI) - Remove user_intent reading and passing - Simplify stopping logic (just run max_iterations) - Clean up formatting and remove unused code	3 months ago
Rene Cannao	f2ca750c05	Add MCP Database Discovery Agent (initial commit) Add a database discovery agent prototype that uses LLMs to explore databases through the MCP Query endpoint. Includes: - Rich CLI (discover_cli.py): Working async CLI with Rich TUI, proper MCP tools/call JSON-RPC method, and full tracing support - FastAPI_deprecated_POC: Early prototype with incorrect MCP protocol, kept for reference only The Rich CLI version implements a multi-expert agent architecture: - Planner: Chooses next tasks based on state - Structural Expert: Analyzes table structure and relationships - Statistical Expert: Profiles tables and columns - Semantic Expert: Infers domain meaning - Query Expert: Validates access patterns	3 months ago

Author

SHA1

Message

Date

Rene Cannao

1d046148d4

Fix: Address code review feedback from coderabbitai and gemini-code-assist

Critical fixes:
- Remove stray backslash at start of discover_cli.py (causes syntax error)
- Fix escaped newlines (\\n) to real newlines (\n) in discover_cli.py

Documentation fixes:
- Update README.md: remove incorrect requirements_cli.txt reference
- Update README.md: use generic path placeholder instead of /home/rene/...
- Update STDIO_BRIDGE_README.md: mark PROXYSQL_MCP_ENDPOINT as optional with default

Dependency updates:
- Update package versions: httpx 0.27.0->0.28.1, pydantic 2.8.2->2.12.5,
  python-dotenv 1.0.1->1.2.1, rich 13.7.1->14.2.0

Per review: https://github.com/ProxySQL/proxysql-vec/pull/10

Rene Cannao

9d6a2173bf

Enhance Rich CLI with configurable LLM chat path and better tracing

LLM improvements:
- Add configurable chat path (LLM_CHAT_PATH or --llm-chat-path) to support
  non-standard endpoints like Z.ai's /api/coding/paas/v4
- Add optional JSON mode (LLM_JSON_MODE or --llm-json-mode) for models
  that support native JSON output
- Enhanced tracing: log HTTP status and response body snippet on every request
- Safer JSON parsing: treat empty content as error with helpful message
- Better error messages with diagnostic hints

Code cleanup:
- Remove intent command (simplify CLI)
- Remove user_intent reading and passing
- Simplify stopping logic (just run max_iterations)
- Clean up formatting and remove unused code

Rene Cannao

f2ca750c05

Add MCP Database Discovery Agent (initial commit)

Add a database discovery agent prototype that uses LLMs to explore
databases through the MCP Query endpoint.

Includes:
- Rich CLI (discover_cli.py): Working async CLI with Rich TUI,
  proper MCP tools/call JSON-RPC method, and full tracing support
- FastAPI_deprecated_POC: Early prototype with incorrect MCP protocol,
  kept for reference only

The Rich CLI version implements a multi-expert agent architecture:
- Planner: Chooses next tasks based on state
- Structural Expert: Analyzes table structure and relationships
- Statistical Expert: Profiles tables and columns
- Semantic Expert: Infers domain meaning
- Query Expert: Validates access patterns

3 Commits (db5f1ea498f736d4ff733bbd41ec649d073cf932)