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docs: update cassettes for response metadata guide (#30431)
As of langchain-groq 0.3 ChatGroq requires a model name. Also update other models.
This commit is contained in:
ccurme
GitHub
parent
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@ -1 +1 @@
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|
||||
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
|
||||
@ -1 +1 @@
|
||||
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
|
||||
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
|
||||
@ -16,23 +16,29 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 1,
|
||||
"id": "161f5898-9976-4a75-943d-03eda1a40a60",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'token_usage': {'completion_tokens': 164,\n",
|
||||
" 'prompt_tokens': 17,\n",
|
||||
" 'total_tokens': 181},\n",
|
||||
" 'model_name': 'gpt-4-turbo',\n",
|
||||
" 'system_fingerprint': 'fp_76f018034d',\n",
|
||||
"{'token_usage': {'completion_tokens': 110,\n",
|
||||
" 'prompt_tokens': 16,\n",
|
||||
" 'total_tokens': 126,\n",
|
||||
" 'completion_tokens_details': {'accepted_prediction_tokens': 0,\n",
|
||||
" 'audio_tokens': 0,\n",
|
||||
" 'reasoning_tokens': 0,\n",
|
||||
" 'rejected_prediction_tokens': 0},\n",
|
||||
" 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}},\n",
|
||||
" 'model_name': 'gpt-4o-mini-2024-07-18',\n",
|
||||
" 'system_fingerprint': 'fp_b8bc95a0ac',\n",
|
||||
" 'id': 'chatcmpl-BDrISvLar6AqcZngBmhajFZXVc2u9',\n",
|
||||
" 'finish_reason': 'stop',\n",
|
||||
" 'logprobs': None}"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -40,8 +46,8 @@
|
||||
"source": [
|
||||
"from langchain_openai import ChatOpenAI\n",
|
||||
"\n",
|
||||
"llm = ChatOpenAI(model=\"gpt-4-turbo\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
@ -55,21 +61,25 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 2,
|
||||
"id": "61c43496-83b5-4d71-bd60-3e6d46c62a5e",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'id': 'msg_01CzQyD7BX8nkhDNfT1QqvEp',\n",
|
||||
" 'model': 'claude-3-sonnet-20240229',\n",
|
||||
"{'id': 'msg_01JHnvPqgERY7MZwrvfkmq52',\n",
|
||||
" 'model': 'claude-3-5-sonnet-20241022',\n",
|
||||
" 'stop_reason': 'end_turn',\n",
|
||||
" 'stop_sequence': None,\n",
|
||||
" 'usage': {'input_tokens': 17, 'output_tokens': 296}}"
|
||||
" 'usage': {'cache_creation_input_tokens': 0,\n",
|
||||
" 'cache_read_input_tokens': 0,\n",
|
||||
" 'input_tokens': 17,\n",
|
||||
" 'output_tokens': 221},\n",
|
||||
" 'model_name': 'claude-3-5-sonnet-20241022'}"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -77,8 +87,8 @@
|
||||
"source": [
|
||||
"from langchain_anthropic import ChatAnthropic\n",
|
||||
"\n",
|
||||
"llm = ChatAnthropic(model=\"claude-3-sonnet-20240229\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatAnthropic(model=\"claude-3-5-sonnet-latest\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
@ -92,7 +102,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 3,
|
||||
"id": "39549336-25f5-4839-9846-f687cd77e59b",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@ -102,23 +112,41 @@
|
||||
"{'is_blocked': False,\n",
|
||||
" 'safety_ratings': [{'category': 'HARM_CATEGORY_HATE_SPEECH',\n",
|
||||
" 'probability_label': 'NEGLIGIBLE',\n",
|
||||
" 'blocked': False},\n",
|
||||
" 'probability_score': 0.046142578125,\n",
|
||||
" 'blocked': False,\n",
|
||||
" 'severity': 'HARM_SEVERITY_NEGLIGIBLE',\n",
|
||||
" 'severity_score': 0.07275390625},\n",
|
||||
" {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',\n",
|
||||
" 'probability_label': 'NEGLIGIBLE',\n",
|
||||
" 'blocked': False},\n",
|
||||
" 'probability_score': 0.05419921875,\n",
|
||||
" 'blocked': False,\n",
|
||||
" 'severity': 'HARM_SEVERITY_NEGLIGIBLE',\n",
|
||||
" 'severity_score': 0.03955078125},\n",
|
||||
" {'category': 'HARM_CATEGORY_HARASSMENT',\n",
|
||||
" 'probability_label': 'NEGLIGIBLE',\n",
|
||||
" 'blocked': False},\n",
|
||||
" 'probability_score': 0.083984375,\n",
|
||||
" 'blocked': False,\n",
|
||||
" 'severity': 'HARM_SEVERITY_NEGLIGIBLE',\n",
|
||||
" 'severity_score': 0.029296875},\n",
|
||||
" {'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',\n",
|
||||
" 'probability_label': 'NEGLIGIBLE',\n",
|
||||
" 'blocked': False}],\n",
|
||||
" 'citation_metadata': None,\n",
|
||||
" 'probability_score': 0.054931640625,\n",
|
||||
" 'blocked': False,\n",
|
||||
" 'severity': 'HARM_SEVERITY_NEGLIGIBLE',\n",
|
||||
" 'severity_score': 0.03466796875}],\n",
|
||||
" 'usage_metadata': {'prompt_token_count': 10,\n",
|
||||
" 'candidates_token_count': 30,\n",
|
||||
" 'total_token_count': 40}}"
|
||||
" 'candidates_token_count': 193,\n",
|
||||
" 'total_token_count': 203,\n",
|
||||
" 'prompt_tokens_details': [{'modality': 1, 'token_count': 10}],\n",
|
||||
" 'candidates_tokens_details': [{'modality': 1, 'token_count': 193}],\n",
|
||||
" 'cached_content_token_count': 0,\n",
|
||||
" 'cache_tokens_details': []},\n",
|
||||
" 'finish_reason': 'STOP',\n",
|
||||
" 'avg_logprobs': -0.5702065976790196,\n",
|
||||
" 'model_name': 'gemini-1.5-flash-001'}"
|
||||
]
|
||||
},
|
||||
"execution_count": 8,
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -126,8 +154,8 @@
|
||||
"source": [
|
||||
"from langchain_google_vertexai import ChatVertexAI\n",
|
||||
"\n",
|
||||
"llm = ChatVertexAI(model=\"gemini-pro\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatVertexAI(model=\"gemini-1.5-flash-001\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
@ -141,27 +169,35 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"execution_count": 4,
|
||||
"id": "1e4ac668-4c6a-48ad-9a6f-7b291477b45d",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'model_id': 'anthropic.claude-v2',\n",
|
||||
" 'usage': {'prompt_tokens': 19, 'completion_tokens': 371, 'total_tokens': 390}}"
|
||||
"{'ResponseMetadata': {'RequestId': 'ea0ac2ad-3ad5-4a49-9647-274a0c73ac31',\n",
|
||||
" 'HTTPStatusCode': 200,\n",
|
||||
" 'HTTPHeaders': {'date': 'Sat, 22 Mar 2025 11:27:46 GMT',\n",
|
||||
" 'content-type': 'application/json',\n",
|
||||
" 'content-length': '1660',\n",
|
||||
" 'connection': 'keep-alive',\n",
|
||||
" 'x-amzn-requestid': 'ea0ac2ad-3ad5-4a49-9647-274a0c73ac31'},\n",
|
||||
" 'RetryAttempts': 0},\n",
|
||||
" 'stopReason': 'end_turn',\n",
|
||||
" 'metrics': {'latencyMs': [11044]}}"
|
||||
]
|
||||
},
|
||||
"execution_count": 16,
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain_aws import ChatBedrock\n",
|
||||
"from langchain_aws import ChatBedrockConverse\n",
|
||||
"\n",
|
||||
"llm = ChatBedrock(model_id=\"anthropic.claude-v2\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatBedrockConverse(model=\"anthropic.claude-3-sonnet-20240229-v1:0\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
@ -175,21 +211,22 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 5,
|
||||
"id": "deb41321-52d0-4795-a40c-4a811a13d7b0",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'token_usage': {'prompt_tokens': 19,\n",
|
||||
" 'total_tokens': 141,\n",
|
||||
" 'completion_tokens': 122},\n",
|
||||
" 'model': 'mistral-small',\n",
|
||||
"{'token_usage': {'prompt_tokens': 13,\n",
|
||||
" 'total_tokens': 219,\n",
|
||||
" 'completion_tokens': 206},\n",
|
||||
" 'model_name': 'mistral-small-latest',\n",
|
||||
" 'model': 'mistral-small-latest',\n",
|
||||
" 'finish_reason': 'stop'}"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -197,7 +234,7 @@
|
||||
"source": [
|
||||
"from langchain_mistralai import ChatMistralAI\n",
|
||||
"\n",
|
||||
"llm = ChatMistralAI()\n",
|
||||
"llm = ChatMistralAI(model=\"mistral-small-latest\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
@ -212,27 +249,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"execution_count": 6,
|
||||
"id": "744e14ec-ff50-4642-9893-ff7bdf8927ff",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'token_usage': {'completion_time': 0.243,\n",
|
||||
" 'completion_tokens': 132,\n",
|
||||
" 'prompt_time': 0.022,\n",
|
||||
" 'prompt_tokens': 22,\n",
|
||||
" 'queue_time': None,\n",
|
||||
" 'total_time': 0.265,\n",
|
||||
" 'total_tokens': 154},\n",
|
||||
" 'model_name': 'mixtral-8x7b-32768',\n",
|
||||
" 'system_fingerprint': 'fp_7b44c65f25',\n",
|
||||
"{'token_usage': {'completion_tokens': 184,\n",
|
||||
" 'prompt_tokens': 45,\n",
|
||||
" 'total_tokens': 229,\n",
|
||||
" 'completion_time': 0.245333333,\n",
|
||||
" 'prompt_time': 0.002262803,\n",
|
||||
" 'queue_time': 0.19315161,\n",
|
||||
" 'total_time': 0.247596136},\n",
|
||||
" 'model_name': 'llama-3.1-8b-instant',\n",
|
||||
" 'system_fingerprint': 'fp_a56f6eea01',\n",
|
||||
" 'finish_reason': 'stop',\n",
|
||||
" 'logprobs': None}"
|
||||
]
|
||||
},
|
||||
"execution_count": 1,
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -240,53 +277,8 @@
|
||||
"source": [
|
||||
"from langchain_groq import ChatGroq\n",
|
||||
"\n",
|
||||
"llm = ChatGroq()\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7cdeec00-8a8f-422a-8819-47c646578b65",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## TogetherAI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "a984118e-a731-4864-bcea-7dc6c6b3d139",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'token_usage': {'completion_tokens': 208,\n",
|
||||
" 'prompt_tokens': 20,\n",
|
||||
" 'total_tokens': 228},\n",
|
||||
" 'model_name': 'mistralai/Mixtral-8x7B-Instruct-v0.1',\n",
|
||||
" 'system_fingerprint': None,\n",
|
||||
" 'finish_reason': 'eos',\n",
|
||||
" 'logprobs': None}"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"\n",
|
||||
"from langchain_openai import ChatOpenAI\n",
|
||||
"\n",
|
||||
"llm = ChatOpenAI(\n",
|
||||
" base_url=\"https://api.together.xyz/v1\",\n",
|
||||
" api_key=os.environ[\"TOGETHER_API_KEY\"],\n",
|
||||
" model=\"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n",
|
||||
")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatGroq(model=\"llama-3.1-8b-instant\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
},
|
||||
@ -300,23 +292,23 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"execution_count": 7,
|
||||
"id": "6ae32a93-26db-41bb-95c2-38ddd5085fbe",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'token_usage': {'prompt_tokens': 19,\n",
|
||||
" 'total_tokens': 219,\n",
|
||||
" 'completion_tokens': 200},\n",
|
||||
" 'model_name': 'accounts/fireworks/models/mixtral-8x7b-instruct',\n",
|
||||
"{'token_usage': {'prompt_tokens': 25,\n",
|
||||
" 'total_tokens': 352,\n",
|
||||
" 'completion_tokens': 327},\n",
|
||||
" 'model_name': 'accounts/fireworks/models/llama-v3p1-70b-instruct',\n",
|
||||
" 'system_fingerprint': '',\n",
|
||||
" 'finish_reason': 'length',\n",
|
||||
" 'finish_reason': 'stop',\n",
|
||||
" 'logprobs': None}"
|
||||
]
|
||||
},
|
||||
"execution_count": 31,
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -324,17 +316,17 @@
|
||||
"source": [
|
||||
"from langchain_fireworks import ChatFireworks\n",
|
||||
"\n",
|
||||
"llm = ChatFireworks(model=\"accounts/fireworks/models/mixtral-8x7b-instruct\")\n",
|
||||
"msg = llm.invoke([(\"human\", \"What's the oldest known example of cuneiform\")])\n",
|
||||
"llm = ChatFireworks(model=\"accounts/fireworks/models/llama-v3p1-70b-instruct\")\n",
|
||||
"msg = llm.invoke(\"What's the oldest known example of cuneiform\")\n",
|
||||
"msg.response_metadata"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "poetry-venv-2",
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "poetry-venv-2"
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@ -346,7 +338,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.1"
|
||||
"version": "3.10.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Loading…
Reference in New Issue
Block a user