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🦉 feat: Claude Opus 4.7 Model Support (#12698)
* 🦉 feat: Claude Opus 4.7 Model Support
- Add `claude-opus-4-7` to shared Anthropic models and `anthropic.claude-opus-4-7` to Bedrock models
- Register 1M context window and 128K max output in anthropic token maps
- Add token pricing ($5/$25), cache rates (6.25/0.5), and premium tier ($10/$37.50 above 200K) in tx.ts
- Update `.env.example` with Opus 4.7 IDs in `ANTHROPIC_MODELS` and `BEDROCK_AWS_MODELS` examples
- Add parallel Opus 4.7 test cases for token/cache/premium rates, context length, max output, name-variation matching, and 1M-context qualification
* feat: Add `xhigh` Effort Level for Opus 4.7
- Add `xhigh` variant to `AnthropicEffort` enum between `high` and `max`
- Expose `xhigh` in `anthropicSettings.effort.options` and the UI slider `enumMappings`
- Reuse existing `com_ui_xhigh` translation key
* test: Cover `xhigh` Effort and Exact Opus 4.7 Premium Rates
- Assert `xhigh` position (between high and max), inclusion in
`anthropicSettings.effort.options`, zod acceptance, and rejection of
unknown values in schemas.spec.ts
- Verify bedrockInputParser emits `output_config: { effort: 'xhigh' }`
for adaptive `anthropic.claude-opus-4-7`
- Verify getLLMConfig sets adaptive thinking and `output_config.effort =
'xhigh'` for `claude-opus-4-7`
- Pin Opus 4.7 premium pricing to exact threshold/prompt/completion
values (200000 / 10 / 37.5) so silent rate drift fails the test
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@ -140,7 +140,7 @@ PROXY=
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#============#
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ANTHROPIC_API_KEY=user_provided
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# ANTHROPIC_MODELS=claude-sonnet-4-6,claude-opus-4-6,claude-opus-4-20250514,claude-sonnet-4-20250514,claude-3-7-sonnet-20250219,claude-3-5-sonnet-20241022,claude-3-5-haiku-20241022,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307
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# ANTHROPIC_MODELS=claude-opus-4-7,claude-sonnet-4-6,claude-opus-4-6,claude-opus-4-20250514,claude-sonnet-4-20250514,claude-3-7-sonnet-20250219,claude-3-5-sonnet-20241022,claude-3-5-haiku-20241022,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307
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# ANTHROPIC_REVERSE_PROXY=
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# Set to true to use Anthropic models through Google Vertex AI instead of direct API
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@ -175,8 +175,8 @@ ANTHROPIC_API_KEY=user_provided
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# BEDROCK_AWS_SESSION_TOKEN=someSessionToken
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# Note: This example list is not meant to be exhaustive. If omitted, all known, supported model IDs will be included for you.
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# BEDROCK_AWS_MODELS=anthropic.claude-sonnet-4-6,anthropic.claude-opus-4-6-v1,anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
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# Cross-region inference model IDs: us.anthropic.claude-sonnet-4-6,us.anthropic.claude-opus-4-6-v1,global.anthropic.claude-opus-4-6-v1
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# BEDROCK_AWS_MODELS=anthropic.claude-opus-4-7,anthropic.claude-sonnet-4-6,anthropic.claude-opus-4-6-v1,anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
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# Cross-region inference model IDs: us.anthropic.claude-opus-4-7,us.anthropic.claude-sonnet-4-6,us.anthropic.claude-opus-4-6-v1,global.anthropic.claude-opus-4-6-v1
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# See all Bedrock model IDs here: https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns
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