downgrade datasets and add trust rc kwarg

update requirements

update entrypoint

update dockerfile and requirements in root

update requirements

update embedding gen to use vector storage files

token patch at main

sanitize token in embeddings generator

remove write permission args from hf login

fix llm manager

fix llm manager

sanitize hf token

sanitize hf token

Switch to Qwen-1.5-1.8B-Chat - verified multilingual model with good Indic support

Pass HF_TOKEN explicitly to model loading - more reliable in Docker

Switch to AI4Bharat IndicLLM - better support for 11 Indic languages

update max new token to 1024

Simplify validation - use general patterns, not hardcoded lists

Set generation_config on model only, not passed to pipeline - fixes duplicate arg error

Suppress max_new_tokens/max_length warning - cosmetic only

Create gen_config once, pass to pipeline once - clean implementation

Use GenerationConfig object passed to pipeline - proper format

Pass generation params directly to pipeline - no GenerationConfig object

Remove redundant config override - set generation_config once

Force override model.config max_length and max_new_tokens to fix warning

Use structured prompt format (CONTEXT/OBJECTIVE/STYLE/TONE/AUDIENCE/RESPONSE)

Simplify prompt and validation - robust creative output

Fix syntax error: missing quote in invalid_patterns

Use comprehensive creative writer prompt with strict output validation

Fix prompt leakage: simpler prompt format, stricter filtering for exact leakage patterns

Set max_length=None in GenerationConfig to override model defaults

Fix max_length conflict by explicitly setting max_length=None in pipeline

Add poem/story specifications: type, theme, length, style

Add output validation and strengthen prompt against meta-commentary

Add user-selected language to prompt for proper language response

Restructure prompt for direct creative output, improve meta-commentary filtering

Improve output cleaning: remove </s>, [INST], bracket numbers

Strengthen prompt: never refer to or explain context

Add output cleaning to filter informal/garbled text

Update prompt for creative writing, increase temperature to 0.9 and top_p to 0.92

Increase frontend timeout to 300s for CPU inference

Set generation_config on model directly to avoid duplicate param error

Use GenerationConfig to avoid parameter conflict warnings

Fix max_length conflict, set max_new_tokens to 1024

Increase max_tokens to 4096, send top 3 docs, truncate context to 800 chars

Increase max_new_tokens to 1024 for longer responses

Update prompt for Hindi literature expertise and multilingual support

Fix prompt template and increase max_new_tokens to 512

Fix CPU inference: auto-detect GPU, use float16 on CPU

Force rebuild with label