forked from phoenix-oss/llama-stack-mirror
fb418813fc
# What does this PR do? current passthrough impl returns chatcompletion_message.content as a TextItem() , not a straight string. so it's not compatible with other providers, and causes parsing error downstream. change away from the generic pydantic conversion, and explicitly parse out content.text ## Test Plan setup llama server with passthrough ``` llama-stack-client eval run-benchmark "MMMU_Pro_standard" --model-id meta-llama/Llama-3-8B --output-dir /tmp/ --num-examples 20 ``` works without parsing error |
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| .. | ||
| anthropic | ||
| bedrock | ||
| cerebras | ||
| databricks | ||
| fireworks | ||
| gemini | ||
| groq | ||
| nvidia | ||
| ollama | ||
| openai | ||
| passthrough | ||
| runpod | ||
| sambanova | ||
| tgi | ||
| together | ||
| vllm | ||
| __init__.py | ||