Langroid

feat: Support [pgvector](https://langroid.github.io/langroid/notes/pgvector/) (postgres based vector db) - Thanks abab-dev!

fix: set most `OpenAICallParams` defaults to None, since many are not supported by some LLMs.

Fixes errors encountered with `gemini` models when explicitly using `OpenAICallParams` inside `OpenAIGPTConfig`, e.g.:

python
llm_config = OpenAIGPTConfig(
chat_model="gemini/gemini-2.0-flash",
params=OpenAICallParams(...),
)

feat(minor): Support OpenRouter's `include_reasoning` param in `extra_body` portion of OpenAI API call.

Also:
- Set up mechanism to automatically drop inapplicable parameters, via [`OpenAI_API_ParamInfo`](https://github.com/langroid/langroid/blob/main/langroid/language_models/model_info.py) class.

This allows code to use model-specific params like `reasoning_effort` (only supported by `o3-mini`)
or `include_reasoning` (only supported by OpenRouter when using `deepseek/deepseek-r1`),
without causing errors when switching to other models that don't support those params.
See this [note](https://langroid.github.io/langroid/notes/reasoning-content/)

feat: added local-storage option for [Weaviate](https://github.com/langroid/langroid/blob/main/langroid/vector_store/weaviatedb.py)

Also:
- Refactor `DocChatAgent` citations code

feat(minor): expand allowed values of `ChatAgentConfig.handle_llm_no_tool`

See updated [docs](https://langroid.github.io/langroid/notes/handle-llm-no-tool/)

chore: unify all LLM-related info in [`language_models/model-info.py`](https://github.com/langroid/langroid/blob/main/langroid/language_models/model_info.py)

Also:
- Support `o3-mini`, including `reasoning_effort` param. See example script [`agent-reasoning.py`](https://github.com/langroid/langroid/tree/main/examples/reasoning)
- Renamed `ChatAgentConfig.non_tool_routing` to `ChatAgentConfig.handle_llm_no_tool`, [docs](https://langroid.github.io/langroid/notes/handle-llm-no-tool.md) updated