🎚️ feat: Anthropic Parameter Set Support via Custom Endpoints (#9415)

* refactor: modularize openai llm config logic into new getOpenAILLMConfig function (#9412)

* ✈️ refactor: Migrate Anthropic's getLLMConfig to TypeScript (#9413)

* refactor: move tokens.js over to packages/api and update imports

* refactor: port tokens.js to typescript

* refactor: move helpers.js over to packages/api and update imports

* refactor: port helpers.js to typescript

* refactor: move anthropic/llm.js over to packages/api and update imports

* refactor: port anthropic/llm.js to typescript with supporting types in types/anthropic.ts and updated tests in llm.spec.js

* refactor: move llm.spec.js over to packages/api and update import

* refactor: port llm.spec.js over to typescript

* 📝  Add Prompt Parameter Support for Anthropic Custom Endpoints (#9414)

feat: add anthropic llm config support for openai-like (custom) endpoints

* fix: missed compiler / type issues from addition of getAnthropicLLMConfig

* refactor: update tokens.ts to export constants and functions, enhance type definitions, and adjust default values

* WIP: first pass, decouple `llmConfig` from `configOptions`

* chore: update import path for OpenAI configuration from 'llm' to 'config'

* refactor: enhance type definitions for ThinkingConfig and update modelOptions in AnthropicConfigOptions

* refactor: cleanup type, introduce openai transform from alt provider

* chore: integrate removeNullishValues in Google llmConfig and update OpenAI exports

* chore: bump version of @librechat/api to 1.3.5 in package.json and package-lock.json

* refactor: update customParams type in OpenAIConfigOptions to use TConfig['customParams']

* refactor: enhance transformToOpenAIConfig to include fromEndpoint and improve config extraction

* refactor: conform userId field for anthropic/openai, cleanup anthropic typing

* ci: add backward compatibility tests for getOpenAIConfig with various endpoints and configurations

* ci: replace userId with user in clientOptions for getLLMConfig

* test: add Azure OpenAI endpoint tests for various configurations in getOpenAIConfig

* refactor: defaultHeaders retrieval for prompt caching for anthropic-based custom endpoint (litellm)

* test: add unit tests for getOpenAIConfig with various Anthropic model configurations

* test: enhance Anthropic compatibility tests with addParams and dropParams handling

* chore: update @librechat/agents dependency to version 2.4.78 in package.json and package-lock.json

* chore: update @librechat/agents dependency to version 2.4.79 in package.json and package-lock.json

---------

Co-authored-by: Danny Avila <danny@librechat.ai>

packages/data-provider/src/schemas.ts

@@ -619,14 +619,14 @@ export const tConversationSchema = z.object({
   userLabel: z.string().optional(),
   model: z.string().nullable().optional(),
   promptPrefix: z.string().nullable().optional(),
-  temperature: z.number().optional(),
+  temperature: z.number().nullable().optional(),
   topP: z.number().optional(),
   topK: z.number().optional(),
   top_p: z.number().optional(),
   frequency_penalty: z.number().optional(),
   presence_penalty: z.number().optional(),
   parentMessageId: z.string().optional(),
-  maxOutputTokens: coerceNumber.optional(),
+  maxOutputTokens: coerceNumber.nullable().optional(),
   maxContextTokens: coerceNumber.optional(),
   max_tokens: coerceNumber.optional(),
   /* Anthropic */
@@ -634,6 +634,7 @@ export const tConversationSchema = z.object({
   system: z.string().optional(),
   thinking: z.boolean().optional(),
   thinkingBudget: coerceNumber.optional(),
+  stream: z.boolean().optional(),
   /* artifacts */
   artifacts: z.string().optional(),
   /* google */
@@ -1152,6 +1153,8 @@ export const anthropicBaseSchema = tConversationSchema.pick({
   maxContextTokens: true,
   web_search: true,
   fileTokenLimit: true,
+  stop: true,
+  stream: true,
 });
 
 export const anthropicSchema = anthropicBaseSchema