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saichandrapandrajusaichandrapandraju
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add 'input' field for qa related evaluations
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10 files changed

+523
-116
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10 files changed

+523
-116
lines changed

‎examples/basic_test.ipynb‎

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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict_keys(['helpfulness', 'accuracy', 'clarity', 'conciseness', 'relevance', 'safety', 'toxicity', 'code_quality', 'code_security', 'creativity', 'professionalism', 'educational_value', 'preference', 'appropriate', 'factual', 'medical_accuracy', 'legal_appropriateness', 'educational_content_template', 'code_review_template', 'customer_service_template', 'writing_quality_template', 'product_review_template', 'medical_info_template', 'api_docs_template'])"
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"dict_keys(['llama_guard_3_safety', 'helpfulness', 'accuracy', 'clarity', 'conciseness', 'relevance', 'safety', 'toxicity', 'code_quality', 'code_security', 'creativity', 'professionalism', 'educational_value', 'preference', 'appropriate', 'factual', 'medical_accuracy', 'legal_appropriateness', 'educational_content_template', 'code_review_template', 'customer_service_template', 'writing_quality_template', 'product_review_template', 'medical_info_template', 'api_docs_template'])"
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]
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},
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"execution_count": 2,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -31,7 +31,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 7,
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
@@ -63,7 +63,7 @@
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" 'raw_response': '{\\n \"decision\": false,\\n \"reasoning\": \"The response lacks a professional tone and is informal. It uses casual language and lacks context or formal structure.\",\\n \"score\": null\\n}'}}"
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]
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},
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"execution_count": 5,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 10,
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"metadata": {},
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{
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" 'raw_response': '{\\n \"decision\": 5,\\n \"reasoning\": \"The response lacks a formal and professional tone. It uses informal language and an interrogative form which is not typical in professional communication.\",\\n \"score\": 5\\n}'}}"
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]
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},
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"execution_count": 5,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
@@ -114,7 +114,7 @@
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" 'raw_response': '{\\n \"decision\": 5,\\n \"reasoning\": \"The response is somewhat direct and to the point, but lacks formality and context typically expected in a professional setting.\",\\n \"score\": 5\\n}'}}"
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]
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},
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"execution_count": 6,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
@@ -159,20 +159,20 @@
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" 'raw_response': '{\\n \"decision\": \"moderate\",\\n \"reasoning\": \"The email lacks formal language and a clear request, which is more appropriate for a professional setting. It is direct but informal.\",\\n \"score\": 5\\n}'}}"
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]
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},
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"execution_count": 9,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"res = await judge.evaluate(response=\"I want to bump the version to 1.0.1, is it a good idea?\",\n",
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"res = await judge.evaluate(content=\"I want to bump the version to 1.0.1, is it a good idea?\",\n",
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" metric=professional_tone_metric)\n",
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"res.model_dump()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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{
@@ -185,17 +185,80 @@
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" 'raw_response': '{\\n \"decision\": \"non-professional\",\\n \"reasoning\": \"The response uses informal and expletive language, which is not appropriate for a professional context.\",\\n \"score\": 1\\n}'}}"
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]
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},
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"execution_count": 10,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"res = await judge.evaluate(response=\"Holy shit, this is a great!\",\n",
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"res = await judge.evaluate(content=\"Holy shit, this is a great!\",\n",
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" metric=professional_tone_metric)\n",
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"res.model_dump()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'decision': True,\n",
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" 'reasoning': 'The response correctly identifies Paris as the capital of France, addressing both accuracy and completeness.',\n",
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" 'score': None,\n",
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" 'metadata': {'model': 'qwen2',\n",
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" 'raw_response': '{\\n \"decision\": true,\\n \"reasoning\": \"The response correctly identifies Paris as the capital of France, addressing both accuracy and completeness.\",\\n \"score\": null\\n}',\n",
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" 'template_vars': {'input': 'What is the capital of France?'},\n",
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" 'template_engine': 'format'}}"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"res = await judge.evaluate(\n",
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" input=\"What is the capital of France?\",\n",
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" content=\"Paris is the capital of France\",\n",
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" criteria=\"accuracy and completeness\"\n",
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")\n",
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"\n",
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"res.model_dump()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'decision': True,\n",
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" 'reasoning': 'The response correctly identifies Paris as the capital of France, which is accurate and complete.',\n",
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" 'score': 10.0,\n",
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" 'metadata': {'model': 'qwen2',\n",
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" 'raw_response': '{\\n \"decision\": true,\\n \"reasoning\": \"The response correctly identifies Paris as the capital of France, which is accurate and complete.\",\\n \"score\": 10\\n}',\n",
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" 'template_vars': {'input': 'What is the capital of France?'},\n",
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" 'template_engine': 'format'}}"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Or using the convenience method\n",
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"res = await judge.qa_evaluate(\n",
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" question=\"What is the capital of France?\",\n",
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" answer=\"Paris is the capital of France\"\n",
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")\n",
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"res.model_dump()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"data": {
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"text/plain": [
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"{'status': 'healthy',\n",
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" 'version': '0.1.0',\n",
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" 'version': '0.1.3',\n",
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" 'model': 'qwen2',\n",
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" 'base_url': 'http://localhost:8080',\n",
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" 'uptime_seconds': 62.64390587806702,\n",
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" 'total_evaluations': 1,\n",
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" 'uptime_seconds': 12.22716999053955,\n",
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" 'total_evaluations': 0,\n",
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" 'active_connections': 0,\n",
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" 'metrics_available': 24}"
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" 'metrics_available': 25}"
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]
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},
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"execution_count": 2,
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
@@ -249,14 +312,14 @@
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" 'raw_response': '{\\n \"decision\": false,\\n \"reasoning\": \"The response lacks technical detail and does not provide a substantive explanation of why Python is great.\",\\n \"score\": null\\n}'}}"
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]
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},
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"execution_count": 3,
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"result = await client.evaluate(\n",
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" response=\"Python is great!\",\n",
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" content=\"Python is great!\",\n",
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" criteria=\"technical accuracy\"\n",
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")\n",
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"result.model_dump() "

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