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Ran 29 Oct 2025 08:24PM UTC

Files 84

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Committed 29 Oct 2025 08:21PM UTC coverage: 52.375% (-0.03%) from 52.406%

Job # 44742923e05a883faa62e59b2a0c06258aaf37d2.4

Build Type

push

github

Committed by

web-flow

Commit Message

Refactor Meta/Llama into generic provider for code reuse (#148)

Extract Meta's native Llama prompt format into a reusable generic provider
that can be shared across cloud hosts and self-hosted deployments.

Changes:
- Created ReqLLM.Providers.Meta for Meta's native format
  - Handles prompt formatting with special tokens
  - Parses native response format (generation, prompt_token_count, etc.)
  - Extracts usage metadata with all required fields
- Refactored ReqLLM.Providers.AmazonBedrock.Meta to delegate to generic provider
  - Keeps only Bedrock-specific AWS Event Stream handling
  - Streaming usage now includes cached_tokens and reasoning_tokens
- Updated test error message for clarity

Documentation:
- Clarifies that most providers use OpenAI-compatible APIs (Azure, Vertex AI, vLLM, Ollama)
- AWS Bedrock is primary user of Meta's native format
- Generic provider handles native format with prompt/max_gen_len/generation fields
- Provides guidance for future provider implementations

This enables future Azure AI Foundry and Vertex AI support to correctly
delegate to OpenAI provider, while providing a native format option for
providers that need it.

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agentjido / req_llm / 44742923e05a883faa62e59b2a0c06258aaf37d2 / 4
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main: 49%

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agentjido / req_llm / 44742923e05a883faa62e59b2a0c06258aaf37d2 / 4 49% main: 49%

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Markdown

Textile

RDoc

HTML

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Source Files on job 44742923e05a883faa62e59b2a0c06258aaf37d2.4

agentjido / req_llm / 44742923e05a883faa62e59b2a0c06258aaf37d2 / 4
49%
main: 49%

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