Fixes#15263
This PR fixes the cost calculation for Bedrock Anthropic models with prompt caching.
**Root Cause:**
PR #9838 incorrectly removed adding `cacheWriteInputTokens` to `prompt_tokens`
for Bedrock, based on the assumption that it would cause double counting (similar
to an Anthropic API issue). However, Bedrock's token structure is different:
- **Bedrock API**: `inputTokens`, `cacheReadInputTokens`, and `cacheWriteInputTokens`
are ALL separate values that should be summed for total input tokens
- **Anthropic API**: Same structure - all three token types are separate
The fix in #9838 was later reverted for Anthropic (correctly re-adding
`cache_creation_input_tokens` to `prompt_tokens`), but Bedrock was never fixed.
**Changes:**
1. Re-add `cacheWriteInputTokens` to `input_tokens` in Bedrock transformation
2. Update test assertions to reflect correct behavior
3. Add regression test for prompt caching cost calculation
4. Fix typo in Anthropic transformation where `cache_creation_tokens` was
incorrectly set to `cache_read_input_tokens`
**Testing:**
- All existing Bedrock transformation tests pass
- New test validates correct cost calculation with prompt caching
- Verified costs are non-negative and accurate
- Add 'stop' parameter to the non_supported_params list in OpenAIGPT5Config
- This ensures the stop parameter is automatically dropped when calling GPT-5 models
- Resolves issue where stop parameter was not being stripped for GPT-5
- Added gpt-5-pro entry to model_prices_and_context_window.json with complete specifications
- Mode: responses (Responses API only)
- Pricing: $15.00 input / $120.00 output (Standard), $7.50 input / $60.00 output (Batch)
- Context: 400,000 input tokens, 272,000 output tokens
- Endpoints: /v1/batch, /v1/responses only
- Features: Web Search, Function Calling, Vision, PDF Input, Prompt Caching, Reasoning
- No streaming support, no Code Interpreter, no Computer Use
- Added gpt-5-pro to supported models list in docs/my-website/src/pages/completion/supported.md
- Added gpt-5-pro to OpenAI provider documentation in docs/my-website/docs/providers/openai.md
- Added comprehensive GPT-5 Pro Special Notes section with usage examples and limitations
* add supported_db_objects
* add _should_load_db_object
* add docs on storing MCP objects in DB
* test_should_load_db_object_with_supported_db_objects
* type fix
* fix: remove func definition from inside client
It makes the function bigger and harder to understand, I left just the wrappers.
* fix: test_arouter_test_team_model failure
- Added fallback to the model_name to index functionality.
