refactor(translator, executor): remove redundant `bytes.Clone` calls for improved performance

refactor(executor): optimize payload cloning and streamline SDK translator usage

fix(openai): drop stream for responses/compact

feat(openai): add responses/compact support

feat(executor): add request_id to error logs

feat(executor): apply payload rules using requested model

feat(registry): support provider-specific model info lookup

refactor(thinking): pass source and target formats to ApplyThinking for cross-format validation

fix(executor): properly handle thinking application errors

refactor: improve thinking logic

feat(executor): add HttpRequest support across executors for better http request handling

Fixed: #942

feat(executor): enhance payload translation with original request context

refactor(executor): resolve upstream model at conductor level before execution

refactor(thinking): export thinking helpers

fix(executor): add `allowCompat` support for reasoning effort normalization

fix(openai-compat): prevent model alias from being overwritten by ResolveOriginalModel

Merge pull request #481 from sususu98/fix/increase-buffer-size

fix(runtime): unify reasoning effort metadata overrides

fix(runtime): validate reasoning effort levels

feat(runtime): add thinking config normalization

feat(util): implement dynamic thinking suffix normalization and refactor budget resolution logic

fix(executor): increase buffer size for stream scanners to 50MB across multiple executors

**refactor(executor): simplify Gemini CLI execution and remove internal retry logic**

**fix(runtime): simplify scanner buffer allocation in executor implementations**

**feat(runtime): add payload configuration support for executors**

fix(executor): ensure usage reporting for upstream responses lacking usage data

feat(config): support HTTP headers across providers

refactor(executor): summarize API error bodies of html in debug logs

Fixed: #140 #133 #80

Refactor executor error handling and usage reporting

Enhance logging for API requests and responses across executors

feat(registry/runtime): add Gemini 2.5 model and increase buffer sizes

feat(auth): improve OpenAI compatibility normalization and API key handling

feat(runtime): introduce `newProxyAwareHTTPClient` for enhanced proxy handling

rebuild branch

remove all

feat(usage): implement usage tracking infrastructure across executors

feat(executor): add `CountTokens` support across all executors

chore(executor): add debug logging for API request errors

feat(openai-compat): enhance provider key handling and model resolution

chore(logging): add debug logs for executor `Refresh` methods

refactor: standardize constant naming and improve file-based auth handling

v6 version first commit