Add latest Claude 4~4.5 series model entries

[PeterDaveHello]

User description

GitHub Copilot Summary:

This pull request expands support for new Anthropic Claude model versions and regional endpoints by updating the token limit mapping in pr_agent/algo/__init__.py. The main changes are the addition of several new Claude model identifiers and their associated token limits, including new versions and Bedrock regional endpoints.

Model and Token Limit Updates

• Added support for new Claude model versions in Vertex AI, including claude-haiku-4-5@20251001, claude-opus-4-1@20250805, and claude-opus-4-5@20251101 with increased token limits.
• Added support for new Claude model versions in Anthropic, including claude-opus-4-1-20250805, claude-opus-4-5-20251101, and claude-haiku-4-5-20251001, each with a 200,000 token limit.

Bedrock Regional Endpoint Expansion

• Added new Bedrock endpoints for the latest Claude models, including support for US, EU, AU, JP, APAC, and global regions for claude-haiku-4-5-20251001 and claude-opus-4-5-20251101, all with 200,000 token limits.
• Added additional Bedrock endpoints for claude-sonnet-4-5-20250929 and claude-sonnet-4-20250514 in global, AU, EU, JP, and APAC regions.

These updates ensure that the system can recognize and handle new Claude model versions and endpoints, maintaining compatibility and scalability as new models are released.

Reference:

• https://platform.claude.com/docs/en/about-claude/models/overview
• https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles-support.html

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PR Type

Enhancement

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Description

• Add support for latest Claude 4-4.5 series models across multiple platforms

• Expand Vertex AI model entries with new Claude versions and token limits

• Add Anthropic direct API support for new Claude model versions

• Extend Bedrock regional endpoints for Claude models across US, EU, AU, JP, APAC, and global regions

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Diagram Walkthrough

flowchart LR
  A["New Claude Models<br/>4-4.5 Series"] --> B["Vertex AI<br/>Endpoints"]
  A --> C["Anthropic<br/>Direct API"]
  A --> D["Bedrock<br/>Regional Endpoints"]
  B --> E["Token Limits<br/>200K"]
  C --> E
  D --> E
  D --> F["Multi-Region<br/>Support"]

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File Walkthrough

Relevant files

Enhancement

__init__.py Expand Claude model support across platforms and regions  pr_agent/algo/init.py Added 3 new Vertex AI Claude model entries: claude-haiku-4-5@20251001, claude-opus-4-1@20250805, and claude-opus-4-5@20251101 with 200K token limits Added 4 new Anthropic direct API model entries: claude-opus-4-1-20250805, claude-opus-4-5-20251101, claude-haiku-4-5-20251001 with 200K token limits Added 15 new Bedrock regional endpoint entries supporting Claude 4-4.5 models across US, EU, AU, JP, APAC, and global regions with 200K token limits All new entries maintain consistent 200K token limit configuration for latest Claude versions +22/-0

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[qodo-free-for-open-source-projects]

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🟢	No security concerns identified No security vulnerabilities detected by AI analysis. Human verification advised for critical code.
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	Robust Error Handling Objective: Ensure potential errors and edge cases are anticipated and handled gracefully throughout the code Status: Passed
	Single Responsibility for Functions Objective: Each function should have a single, well-defined responsibility Status: Passed
	When relevant, utilize early return Objective: In a code snippet containing multiple logic conditions (such as 'if-else'), prefer an early return on edge cases than deep nesting Status: Passed

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[qodo-free-for-open-source-projects]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
High-level	Refactor model configuration for scalability Refactor the MAX_TOKENS dictionary to avoid exhaustively listing every regional model variant. Instead, handle these variations programmatically, for instance by using pattern matching, to improve maintainability. Examples: pr_agent/algo/__init__.py [134-139] "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/eu.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/au.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/jp.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/apac.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/global.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, Solution Walkthrough: Before: MAX_TOKENS = { # ... other models "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/eu.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/au.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/jp.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/apac.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "bedrock/global.anthropic.claude-haiku-4-5-20251001-v1:0": 200000, # ... many more similar entries } def get_max_tokens(model_name): return MAX_TOKENS.get(model_name, DEFAULT_TOKENS) After: BASE_MAX_TOKENS = { "anthropic.claude-haiku-4-5-20251001-v1:0": 200000, "anthropic.claude-opus-4-1-20250805-v1:0": 200000, # ... other base models without regional prefixes } # Keep specific overrides if needed MAX_TOKENS = { ... } def get_max_tokens(model_name): if model_name in MAX_TOKENS: return MAX_TOKENS[model_name] if model_name.startswith("bedrock/"): # Strip regional prefixes like 'us.', 'eu.', 'global.' base_model_name = re.sub(r'bedrock/(us|eu|au|jp|apac|global)\.', 'bedrock/', model_name) if base_model_name in MAX_TOKENS: return MAX_TOKENS[base_model_name] # Fallback logic return DEFAULT_TOKENS Suggestion importance[1-10]: 7 __ Why: The suggestion correctly identifies a scalability issue in the MAX_TOKENS dictionary, where numerous regional model variants are listed explicitly. Proposing a programmatic approach is a valid architectural improvement for long-term maintainability, although it's not a critical bug.	Medium
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• Author self-review: I have reviewed the PR code suggestions, and addressed the relevant ones.

[SeverineVerlinden]

"bedrock/us.anthropic.claude-opus-4-5-20251101-v1:0"

Non-blocking: Could you also add the following model; I see the global deployment is added; but regionals could be beneficial as well? Otherwise happy to handle in a separate MR.

[naorpeled]

@SeverineVerlinden on it 🙏

[naorpeled]

LGTM!
Thanks for the great contribution :) 🙏