Gemini 2.0 Flash Thinking window is wrong (1M, not 32k) and Bedrock provider resolves Claude 2.1 to 100k

Description

Two context-window values in the provider tables are wrong or unreachable:

1. gemini-2.0-flash-thinking is a 1M-token model, not 32k. Both LLM_CONTEXT_WINDOW_SIZES ("gemini-2.0-flash-thinking-exp-01-21": 32768) and the Gemini native provider ("gemini-2.0-flash-thinking": 32768) carry the 32,768 figure, but that belonged to the December exp-1219 snapshot. The exp-01-21 refresh raised the window to 1,048,576 tokens (see Google's long-context documentation and coverage of the January upgrade). With LLM(model="gemini-2.0-flash-thinking-exp-01-21", is_litellm=True) the litellm path currently returns 32768 × ratio.
2. The Gemini native provider's 32k entry is also unreachable. "gemini-2.0-flash-thinking": 32768 sits after "gemini-2.0-flash": 1048576 in a first-match startswith loop, so gemini-2.0-flash-thinking-exp-01-21 resolves through the plain gemini-2.0-flash prefix and returns 1M. The two paths disagree with each other.
3. The Bedrock provider table has no anthropic.claude-v2:1 entry, so Claude 2.1 resolves through the anthropic.claude-v2 prefix (Claude 2.0) and returns 100k instead of the 200k window llm.py's shared table already assigns to the :1 model id.

Steps to Reproduce

from crewai import LLM

# litellm path: returns 32768 * 0.85, expected 1048576 * 0.85
LLM(model="gemini-2.0-flash-thinking-exp-01-21", is_litellm=True).get_context_window_size()

# native gemini path: returns 1048576 * 0.85 (accidentally correct, table entry dead)
LLM(model="google/gemini-2.0-flash-thinking-exp-01-21").get_context_window_size()

# native bedrock path: returns 100000 * 0.85, expected 200000 * 0.85
LLM(model="bedrock/anthropic.claude-v2:1").get_context_window_size()

Expected behavior

All three paths return the model's official window. Related to #7436 / #7437 (the lookup-order issue in the shared table); this issue is about the stale values and the missing Bedrock entry.

Start with the provider tables named in the issue: LLM_CONTEXT_WINDOW_SIZES in the shared llm.py path, the Gemini native provider table, and the Bedrock provider table. Run the three supplied LLM.get_context_window_size() reproductions to confirm the lookup results. Done means Gemini Thinking resolves to 1,048,576 in both paths and Bedrock anthropic.claude-v2:1 resolves to 200,000, with the reported ratios applied.