Dev Merge

[alaa-eddine-k]

Summary by CodeRabbit

• New Features

  • Added end-to-end environment variable support for AWS Lambda deployment (hashing, packaging, updates).
  • Introduced verbosity setting and expanded reasoning options (including “minimal”) for LLM requests.
  • Added GPT-5-specific fields: verbosity and validated reasoning_effort.
  • Enabled conditional reasoning support for Groq models.
  • Improved streaming usage reporting and finalization.
  • Exposed new OpenAI API utilities via public exports.

• Chores

  • Updated core to require Node.js ≥ 20.
  • Upgraded OpenAI dependency to v5.
  • Bumped package versions (core 1.5.44, sdk 1.0.42).

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

Version bumps in core and SDK packages. Core adds Node >=20 engine and updates OpenAI dependency. New verbosity setting and expanded reasoningEffort in GenAILLM. AWS Lambda helper and deploy flow now handle environment variables end-to-end and include them in hashing and packaging. LLM connectors add GPT-5 fields, reasoning validation, and streaming usage refactors; utilities and types updated; index re-exports utils.

Changes

Cohort / File(s)	Summary
Package versions and engines packages/core/package.json, packages/sdk/package.json	Core: version to 1.5.44, add engines.node >=20, bump openai to ^5.12.2. SDK: version to 1.0.42.
GenAILLM verbosity & reasoning packages/core/src/Components/GenAILLM.class.ts	Add verbosity setting/validation; allow reasoningEffort 'minimal' in schema and config.
AWS Lambda env vars support (helper) packages/core/src/helpers/AWSLambdaCode.helper.ts	Incorporate env vars into code hash; template injection; create/update functions with Environment variables; new utilities to extract/fetch/sort env vars; updated method signatures and sanitization.
AWS Lambda deploy integration packages/core/src/subsystems/ComputeManager/Code.service/connectors/AWSLambdaCode.class.ts	Fetch current env vars; include env values in hashing; pass env vars to code generation and create/update calls; minor formatting.
LLM OpenAI API interfaces (GPT-5, streaming, utils) packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/apiInterfaces/ChatCompletionsApiInterface.ts, .../ResponsesApiInterface.ts, .../utils.ts, packages/core/src/index.ts	Add GPT-5 verbosity/reasoning fields; refactor streaming to return usageData and compute reported usage; simplify tool definition checks; add isValidOpenAIReasoningEffort utility and re-export via index.
Types alignment for reasoning/verbosity packages/core/src/types/LLM.types.ts	Add OpenAIReasoningEffort alias; TLLMParams.reasoningEffort widened; add verbosity to TLLMParams.
Groq reasoning gating packages/core/src/subsystems/LLMManager/LLM.service/connectors/Groq.class.ts	Gate reasoning params for specific models; add isValidGroqReasoningEffort; adjust token fields based on support.
OpenAI connector typing packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/OpenAIConnector.class.ts	Add explicit ImagesResponse type assertions for image gen/edit responses.

Sequence Diagram(s)

sequenceDiagram
  participant CM as ComputeManager
  participant H as AWSLambdaCode.helper
  participant AWS as AWS Lambda

  CM->>H: getCurrentEnvironmentVariables(agentTeamId, code)
  H-->>CM: envVariables (Record<string,string>)

  CM->>H: getSortedObjectValues(envVariables)
  H-->>CM: envValues[]

  CM->>H: generateCodeHash(codeBody, codeInputs, envValues)
  H-->>CM: codeHash

  CM->>H: generateLambdaCode(code, parameters, envVariables)
  H-->>CM: zipFilePath

  CM->>H: createOrUpdateLambdaFunction(name, zipFilePath, awsConfigs, envVariables)
  H->>AWS: Create/UpdateFunction + UpdateFunctionConfiguration (Environment)
  AWS-->>H: ARNs/status
  H-->>CM: result

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sequenceDiagram
  participant Client
  participant API as OpenAI API Interface
  participant Stream as processStream
  participant Util as reportUsageStatistics

  Client->>API: handleStream(emitter, context)
  API->>Stream: processStream(responseStream)
  Stream-->>API: {toolsData, finishReason, usageData}
  API->>Util: reportUsageStatistics(usageData, context)
  Util-->>API: reportedUsage[]
  API-->>Client: emit final events (toolsData, reportedUsage, finishReason|stop)

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Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

Poem

I thump my paws—new versions hop,
Env vars tucked in every stop.
GPT-5 whispers, “Reason, sing,”
With verbs of verbosity taking wing.
Streams report what tokens spend—
A tidy warren, end-to-end.
Carrot-merge, and onward, friend! 🥕🐇

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📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
Cache: Disabled due to data retention organization setting
Knowledge Base: Disabled due to data retention organization setting

📥 Commits

Reviewing files that changed from the base of the PR and between 5d3e3e7 and 420f54c.

⛔ Files ignored due to path filters (2)

• packages/sdk/src/Components/generated/GenAILLM.ts is excluded by !**/generated/**
• pnpm-lock.yaml is excluded by !**/pnpm-lock.yaml

📒 Files selected for processing (12)

• packages/core/package.json (3 hunks)
• packages/core/src/Components/GenAILLM.class.ts (3 hunks)
• packages/core/src/helpers/AWSLambdaCode.helper.ts (12 hunks)
• packages/core/src/index.ts (1 hunks)
• packages/core/src/subsystems/ComputeManager/Code.service/connectors/AWSLambdaCode.class.ts (5 hunks)
• packages/core/src/subsystems/LLMManager/LLM.service/connectors/Groq.class.ts (4 hunks)
• packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/OpenAIConnector.class.ts (2 hunks)
• packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/apiInterfaces/ChatCompletionsApiInterface.ts (8 hunks)
• packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/apiInterfaces/ResponsesApiInterface.ts (8 hunks)
• packages/core/src/subsystems/LLMManager/LLM.service/connectors/openai/apiInterfaces/utils.ts (1 hunks)
• packages/core/src/types/LLM.types.ts (2 hunks)
• packages/sdk/package.json (1 hunks)

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