Add native LLM tool call support with ReAct fallback#95
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- Add prompt_template.py: minimal Jinja2-like {% if %} conditional renderer
- Add ToolCallMessage/ToolResultMessage unified message types
- Add detect_tool_call_mode() using LiteLLM model capability DB
- Update model_client.py: format tool messages for OpenAI Chat/Responses API
- Update react_parser.py: _convert_messages() converts tool messages back
to TextMessage for ReAct fallback
- Update agent.py: Thought extraction post-processing for native mode
- Update leader_multiagent.py: unified Agent layer, mode detection in init
- Update leader_prompts.py: conditional {% if tool_call_mode %} sections
- Update Executor.py: conditional prompt building per client type
- Update agent_loader.py: render_prompt() when loading TOML configs
- Update agent TOML configs with template conditionals
- Fix prompt_template.py regex bug: {% %} delimiters were never matched
- Fix prompt_template.py elif logic: three-tuple stack for branch tracking
Tests: 143 pass (40 new), lint clean
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Tests: 143 pass (40 new), lint clean