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9 Commits
langchain-
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bagatur/re
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0aeb677f7d | ||
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8ddd4cba20 |
@@ -100,7 +100,7 @@
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||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='Hello Bob! How can I assist you today?', additional_kwargs={}, example=False)"
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"AIMessage(content='Hello Bob! How can I assist you today?', data={}, example=False)"
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]
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},
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"execution_count": 5,
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@@ -133,8 +133,8 @@
|
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{
|
||||
"data": {
|
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"text/plain": [
|
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"{'history': [HumanMessage(content='hi im bob', additional_kwargs={}, example=False),\n",
|
||||
" AIMessage(content='Hello Bob! How can I assist you today?', additional_kwargs={}, example=False)]}"
|
||||
"{'history': [HumanMessage(content='hi im bob', data={}, example=False),\n",
|
||||
" AIMessage(content='Hello Bob! How can I assist you today?', data={}, example=False)]}"
|
||||
]
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||||
},
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"execution_count": 7,
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@@ -155,7 +155,7 @@
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||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='Your name is Bob.', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content='Your name is Bob.', data={}, example=False)"
|
||||
]
|
||||
},
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||||
"execution_count": 8,
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@@ -113,7 +113,7 @@
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{
|
||||
"data": {
|
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"text/plain": [
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"ChatPromptValue(messages=[HumanMessage(content='What is the color of strawberry and the flag of China?', additional_kwargs={}, example=False)])"
|
||||
"ChatPromptValue(messages=[HumanMessage(content='What is the color of strawberry and the flag of China?', data={}, example=False)])"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
@@ -134,7 +134,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='The color of an apple is typically red or green. The flag of China is predominantly red with a large yellow star in the upper left corner and four smaller yellow stars surrounding it.', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content='The color of an apple is typically red or green. The flag of China is predominantly red with a large yellow star in the upper left corner and four smaller yellow stars surrounding it.', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
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@@ -67,7 +67,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
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"AIMessage(content=\"Why don't bears wear shoes?\\n\\nBecause they have bear feet!\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"Why don't bears wear shoes?\\n\\nBecause they have bear feet!\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
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@@ -114,7 +114,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='Why did the bear never wear shoes?', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content='Why did the bear never wear shoes?', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
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||||
@@ -170,7 +170,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'function_call': {'name': 'joke', 'arguments': '{\\n \"setup\": \"Why don\\'t bears wear shoes?\",\\n \"punchline\": \"Because they have bear feet!\"\\n}'}}, example=False)"
|
||||
"AIMessage(content='', data={'function_call': {'name': 'joke', 'arguments': '{\\n \"setup\": \"Why don\\'t bears wear shoes?\",\\n \"punchline\": \"Because they have bear feet!\"\\n}'}}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
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||||
|
||||
@@ -178,7 +178,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='There are 8 employees.', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content='There are 8 employees.', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 27,
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|
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@@ -157,7 +157,7 @@
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||||
{
|
||||
"data": {
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"text/plain": [
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"AIMessage(content='', additional_kwargs={'function_call': {'name': 'solver', 'arguments': '{\\n\"equation\": \"x^3 + 7 = 12\",\\n\"solution\": \"x = ∛5\"\\n}'}}, example=False)"
|
||||
"AIMessage(content='', data={'function_call': {'name': 'solver', 'arguments': '{\\n\"equation\": \"x^3 + 7 = 12\",\\n\"solution\": \"x = ∛5\"\\n}'}}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 22,
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@@ -229,7 +229,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_zHN0ZHwrxM7nZDdqTp6dkPko', 'function': {'arguments': '{\"location\": \"San Francisco, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_aqdMm9HBSlFW9c9rqxTa7eQv', 'function': {'arguments': '{\"location\": \"New York, NY\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_cx8E567zcLzYV2WSWVgO63f1', 'function': {'arguments': '{\"location\": \"Los Angeles, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'id': 'call_zHN0ZHwrxM7nZDdqTp6dkPko', 'function': {'arguments': '{\"location\": \"San Francisco, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_aqdMm9HBSlFW9c9rqxTa7eQv', 'function': {'arguments': '{\"location\": \"New York, NY\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_cx8E567zcLzYV2WSWVgO63f1', 'function': {'arguments': '{\"location\": \"Los Angeles, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
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@@ -116,7 +116,7 @@
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||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"content=' I don\\'t actually know why the chicken crossed the road, but here are some possible humorous answers:\\n\\n- To get to the other side!\\n\\n- It was too chicken to just stand there. \\n\\n- It wanted a change of scenery.\\n\\n- It wanted to show the possum it could be done.\\n\\n- It was on its way to a poultry farmers\\' convention.\\n\\nThe joke plays on the double meaning of \"the other side\" - literally crossing the road to the other side, or the \"other side\" meaning the afterlife. So it\\'s an anti-joke, with a silly or unexpected pun as the answer.' additional_kwargs={} example=False\n"
|
||||
"content=' I don\\'t actually know why the chicken crossed the road, but here are some possible humorous answers:\\n\\n- To get to the other side!\\n\\n- It was too chicken to just stand there. \\n\\n- It wanted a change of scenery.\\n\\n- It wanted to show the possum it could be done.\\n\\n- It was on its way to a poultry farmers\\' convention.\\n\\nThe joke plays on the double meaning of \"the other side\" - literally crossing the road to the other side, or the \"other side\" meaning the afterlife. So it\\'s an anti-joke, with a silly or unexpected pun as the answer.' data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -147,7 +147,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
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||||
"content=\" I don't actually know why the kangaroo crossed the road, but I'm happy to take a guess! Maybe the kangaroo was trying to get to the other side to find some tasty grass to eat. Or maybe it was trying to get away from a predator or other danger. Kangaroos do need to cross roads and other open areas sometimes as part of their normal activities. Whatever the reason, I'm sure the kangaroo looked both ways before hopping across!\" additional_kwargs={} example=False\n"
|
||||
"content=\" I don't actually know why the kangaroo crossed the road, but I'm happy to take a guess! Maybe the kangaroo was trying to get to the other side to find some tasty grass to eat. Or maybe it was trying to get away from a predator or other danger. Kangaroos do need to cross roads and other open areas sometimes as part of their normal activities. Whatever the reason, I'm sure the kangaroo looked both ways before hopping across!\" data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
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||||
@@ -177,7 +177,7 @@
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||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' As Dario Amodei told me, to use Anthropic IPC you first need to import it:\\n\\n```python\\nfrom anthroipc import ic\\n```\\n\\nThen you can create a client and connect to the server:\\n\\n```python \\nclient = ic.connect()\\n```\\n\\nAfter that, you can call methods on the client and get responses:\\n\\n```python\\nresponse = client.ask(\"What is the meaning of life?\")\\nprint(response)\\n```\\n\\nYou can also register callbacks to handle events: \\n\\n```python\\ndef on_poke(event):\\n print(\"Got poked!\")\\n\\nclient.on(\\'poke\\', on_poke)\\n```\\n\\nAnd that\\'s the basics of using the Anthropic IPC client library for Python! Let me know if you have any other questions!', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' As Dario Amodei told me, to use Anthropic IPC you first need to import it:\\n\\n```python\\nfrom anthroipc import ic\\n```\\n\\nThen you can create a client and connect to the server:\\n\\n```python \\nclient = ic.connect()\\n```\\n\\nAfter that, you can call methods on the client and get responses:\\n\\n```python\\nresponse = client.ask(\"What is the meaning of life?\")\\nprint(response)\\n```\\n\\nYou can also register callbacks to handle events: \\n\\n```python\\ndef on_poke(event):\\n print(\"Got poked!\")\\n\\nclient.on(\\'poke\\', on_poke)\\n```\\n\\nAnd that\\'s the basics of using the Anthropic IPC client library for Python! Let me know if you have any other questions!', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
@@ -198,7 +198,7 @@
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||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' As Harrison Chase told me, to use LangChain you first need to sign up for an API key at platform.langchain.com. Once you have your API key, you can install the Python library and write a simple Python script to call the LangChain API. Here is some sample code to get started:\\n\\n```python\\nimport langchain\\n\\napi_key = \"YOUR_API_KEY\"\\n\\nlangchain.set_key(api_key)\\n\\nresponse = langchain.ask(\"What is the capital of France?\")\\n\\nprint(response.response)\\n```\\n\\nThis will send the question \"What is the capital of France?\" to the LangChain API and print the response. You can customize the request by providing parameters like max_tokens, temperature, etc. The LangChain Python library documentation has more details on the available options. The key things are getting an API key and calling langchain.ask() with your question text. Let me know if you have any other questions!', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' As Harrison Chase told me, to use LangChain you first need to sign up for an API key at platform.langchain.com. Once you have your API key, you can install the Python library and write a simple Python script to call the LangChain API. Here is some sample code to get started:\\n\\n```python\\nimport langchain\\n\\napi_key = \"YOUR_API_KEY\"\\n\\nlangchain.set_key(api_key)\\n\\nresponse = langchain.ask(\"What is the capital of France?\")\\n\\nprint(response.response)\\n```\\n\\nThis will send the question \"What is the capital of France?\" to the LangChain API and print the response. You can customize the request by providing parameters like max_tokens, temperature, etc. The LangChain Python library documentation has more details on the available options. The key things are getting an API key and calling langchain.ask() with your question text. Let me know if you have any other questions!', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 13,
|
||||
@@ -219,7 +219,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' 4', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' 4', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
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||||
@@ -256,7 +256,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" As Dario Amodei told me, here are some ways to use Anthropic:\\n\\n- Sign up for an account on Anthropic's website to access tools like Claude, Constitutional AI, and Writer. \\n\\n- Use Claude for tasks like email generation, customer service chat, and QA. Claude can understand natural language prompts and provide helpful responses.\\n\\n- Use Constitutional AI if you need an AI assistant that is harmless, honest, and helpful. It is designed to be safe and aligned with human values.\\n\\n- Use Writer to generate natural language content for things like marketing copy, stories, reports, and more. Give it a topic and prompt and it will create high-quality written content.\\n\\n- Check out Anthropic's documentation and blog for tips, tutorials, examples, and announcements about new capabilities as they continue to develop their AI technology.\\n\\n- Follow Anthropic on social media or subscribe to their newsletter to stay up to date on new features and releases.\\n\\n- For most people, the easiest way to leverage Anthropic's technology is through their website - just create an account to get started!\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" As Dario Amodei told me, here are some ways to use Anthropic:\\n\\n- Sign up for an account on Anthropic's website to access tools like Claude, Constitutional AI, and Writer. \\n\\n- Use Claude for tasks like email generation, customer service chat, and QA. Claude can understand natural language prompts and provide helpful responses.\\n\\n- Use Constitutional AI if you need an AI assistant that is harmless, honest, and helpful. It is designed to be safe and aligned with human values.\\n\\n- Use Writer to generate natural language content for things like marketing copy, stories, reports, and more. Give it a topic and prompt and it will create high-quality written content.\\n\\n- Check out Anthropic's documentation and blog for tips, tutorials, examples, and announcements about new capabilities as they continue to develop their AI technology.\\n\\n- Follow Anthropic on social media or subscribe to their newsletter to stay up to date on new features and releases.\\n\\n- For most people, the easiest way to leverage Anthropic's technology is through their website - just create an account to get started!\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -284,7 +284,7 @@
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||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' As Harrison Chase told me, here is how you use LangChain:\\n\\nLangChain is an AI assistant that can have conversations, answer questions, and generate text. To use LangChain, you simply type or speak your input and LangChain will respond. \\n\\nYou can ask LangChain questions, have discussions, get summaries or explanations about topics, and request it to generate text on a subject. Some examples of interactions:\\n\\n- Ask general knowledge questions and LangChain will try to answer factually. For example \"What is the capital of France?\"\\n\\n- Have conversations on topics by taking turns speaking. You can prompt the start of a conversation by saying something like \"Let\\'s discuss machine learning\"\\n\\n- Ask for summaries or high-level explanations on subjects. For example \"Can you summarize the main themes in Shakespeare\\'s Hamlet?\" \\n\\n- Give creative writing prompts or requests to have LangChain generate text in different styles. For example \"Write a short children\\'s story about a mouse\" or \"Generate a poem in the style of Robert Frost about nature\"\\n\\n- Correct LangChain if it makes an inaccurate statement and provide the right information. This helps train it.\\n\\nThe key is interacting naturally and giving it clear prompts and requests', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' As Harrison Chase told me, here is how you use LangChain:\\n\\nLangChain is an AI assistant that can have conversations, answer questions, and generate text. To use LangChain, you simply type or speak your input and LangChain will respond. \\n\\nYou can ask LangChain questions, have discussions, get summaries or explanations about topics, and request it to generate text on a subject. Some examples of interactions:\\n\\n- Ask general knowledge questions and LangChain will try to answer factually. For example \"What is the capital of France?\"\\n\\n- Have conversations on topics by taking turns speaking. You can prompt the start of a conversation by saying something like \"Let\\'s discuss machine learning\"\\n\\n- Ask for summaries or high-level explanations on subjects. For example \"Can you summarize the main themes in Shakespeare\\'s Hamlet?\" \\n\\n- Give creative writing prompts or requests to have LangChain generate text in different styles. For example \"Write a short children\\'s story about a mouse\" or \"Generate a poem in the style of Robert Frost about nature\"\\n\\n- Correct LangChain if it makes an inaccurate statement and provide the right information. This helps train it.\\n\\nThe key is interacting naturally and giving it clear prompts and requests', data={}, example=False)"
|
||||
]
|
||||
},
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||||
"metadata": {},
|
||||
@@ -304,7 +304,7 @@
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{
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||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' 2 + 2 = 4', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' 2 + 2 = 4', data={}, example=False)"
|
||||
]
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},
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"metadata": {},
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@@ -169,7 +169,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'ai',\n",
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" 'enum': ['ai'],\n",
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@@ -183,7 +183,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'human',\n",
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" 'enum': ['human'],\n",
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@@ -197,7 +197,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
|
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'chat',\n",
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" 'enum': ['chat'],\n",
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@@ -211,7 +211,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'system',\n",
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" 'enum': ['system'],\n",
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@@ -224,7 +224,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'function',\n",
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" 'enum': ['function'],\n",
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@@ -238,7 +238,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'tool',\n",
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" 'enum': ['tool'],\n",
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@@ -307,7 +307,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'ai',\n",
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" 'enum': ['ai'],\n",
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@@ -321,7 +321,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
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" 'type': {'title': 'Type',\n",
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" 'default': 'human',\n",
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" 'enum': ['human'],\n",
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@@ -335,7 +335,7 @@
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" 'anyOf': [{'type': 'string'},\n",
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" {'type': 'array',\n",
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" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
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" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'type': {'title': 'Type',\n",
|
||||
" 'default': 'chat',\n",
|
||||
" 'enum': ['chat'],\n",
|
||||
@@ -349,7 +349,7 @@
|
||||
" 'anyOf': [{'type': 'string'},\n",
|
||||
" {'type': 'array',\n",
|
||||
" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
|
||||
" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'type': {'title': 'Type',\n",
|
||||
" 'default': 'system',\n",
|
||||
" 'enum': ['system'],\n",
|
||||
@@ -362,7 +362,7 @@
|
||||
" 'anyOf': [{'type': 'string'},\n",
|
||||
" {'type': 'array',\n",
|
||||
" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
|
||||
" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'type': {'title': 'Type',\n",
|
||||
" 'default': 'function',\n",
|
||||
" 'enum': ['function'],\n",
|
||||
@@ -376,7 +376,7 @@
|
||||
" 'anyOf': [{'type': 'string'},\n",
|
||||
" {'type': 'array',\n",
|
||||
" 'items': {'anyOf': [{'type': 'string'}, {'type': 'object'}]}}]},\n",
|
||||
" 'additional_kwargs': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'data': {'title': 'Additional Kwargs', 'type': 'object'},\n",
|
||||
" 'type': {'title': 'Type',\n",
|
||||
" 'default': 'tool',\n",
|
||||
" 'enum': ['tool'],\n",
|
||||
|
||||
@@ -102,7 +102,7 @@ agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is
|
||||
],
|
||||
"kwargs": {
|
||||
"content": "I need to find out who directed the 2023 film Oppenheimer and their age. Then, I need to calculate their age in days. I will use DuckDuckGo to find out the director and their age.\nAction: duckduckgo_search\nAction Input: \"Director of the 2023 film Oppenheimer and their age\"",
|
||||
"additional_kwargs": {}
|
||||
"data": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -161,7 +161,7 @@ agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is
|
||||
],
|
||||
"kwargs": {
|
||||
"content": "The director of the 2023 film Oppenheimer is Christopher Nolan. Now I need to find out his age.\nAction: duckduckgo_search\nAction Input: \"Christopher Nolan age\"",
|
||||
"additional_kwargs": {}
|
||||
"data": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -220,7 +220,7 @@ agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is
|
||||
],
|
||||
"kwargs": {
|
||||
"content": "Christopher Nolan was born on July 30, 1970, which makes him 52 years old in 2023. Now I need to calculate his age in days.\nAction: Calculator\nAction Input: 52*365",
|
||||
"additional_kwargs": {}
|
||||
"data": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -279,7 +279,7 @@ agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is
|
||||
],
|
||||
"kwargs": {
|
||||
"content": "```text\n52*365\n```\n...numexpr.evaluate(\"52*365\")...\n",
|
||||
"additional_kwargs": {}
|
||||
"data": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -340,7 +340,7 @@ agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is
|
||||
],
|
||||
"kwargs": {
|
||||
"content": "I now know the final answer\nFinal Answer: The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days.",
|
||||
"additional_kwargs": {}
|
||||
"data": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -118,7 +118,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"content=' I don\\'t actually know why the chicken crossed the road, but here are some possible humorous answers:\\n\\n- To get to the other side!\\n\\n- It was too chicken to just stand there. \\n\\n- It wanted a change of scenery.\\n\\n- It wanted to show the possum it could be done.\\n\\n- It was on its way to a poultry farmers\\' convention.\\n\\nThe joke plays on the double meaning of \"the other side\" - literally crossing the road to the other side, or the \"other side\" meaning the afterlife. So it\\'s an anti-joke, with a silly or unexpected pun as the answer.' additional_kwargs={} example=False\n"
|
||||
"content=' I don\\'t actually know why the chicken crossed the road, but here are some possible humorous answers:\\n\\n- To get to the other side!\\n\\n- It was too chicken to just stand there. \\n\\n- It wanted a change of scenery.\\n\\n- It wanted to show the possum it could be done.\\n\\n- It was on its way to a poultry farmers\\' convention.\\n\\nThe joke plays on the double meaning of \"the other side\" - literally crossing the road to the other side, or the \"other side\" meaning the afterlife. So it\\'s an anti-joke, with a silly or unexpected pun as the answer.' data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -149,7 +149,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"content=\" I don't actually know why the kangaroo crossed the road, but I can take a guess! Here are some possible reasons:\\n\\n- To get to the other side (the classic joke answer!)\\n\\n- It was trying to find some food or water \\n\\n- It was trying to find a mate during mating season\\n\\n- It was fleeing from a predator or perceived threat\\n\\n- It was disoriented and crossed accidentally \\n\\n- It was following a herd of other kangaroos who were crossing\\n\\n- It wanted a change of scenery or environment \\n\\n- It was trying to reach a new habitat or territory\\n\\nThe real reason is unknown without more context, but hopefully one of those potential explanations does the joke justice! Let me know if you have any other animal jokes I can try to decipher.\" additional_kwargs={} example=False\n"
|
||||
"content=\" I don't actually know why the kangaroo crossed the road, but I can take a guess! Here are some possible reasons:\\n\\n- To get to the other side (the classic joke answer!)\\n\\n- It was trying to find some food or water \\n\\n- It was trying to find a mate during mating season\\n\\n- It was fleeing from a predator or perceived threat\\n\\n- It was disoriented and crossed accidentally \\n\\n- It was following a herd of other kangaroos who were crossing\\n\\n- It wanted a change of scenery or environment \\n\\n- It was trying to reach a new habitat or territory\\n\\nThe real reason is unknown without more context, but hopefully one of those potential explanations does the joke justice! Let me know if you have any other animal jokes I can try to decipher.\" data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -313,7 +313,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"content='The next number in the sequence is two.' additional_kwargs={} example=False\n"
|
||||
"content='The next number in the sequence is two.' data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -44,7 +44,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'function': {'name': 'Person', 'arguments': '{\"name\": \"Erick\", \"age\": \"27\"}'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'function': {'name': 'Person', 'arguments': '{\"name\": \"Erick\", \"age\": \"27\"}'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
|
||||
@@ -96,7 +96,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' The Collatz Conjecture is one of the most famous unsolved problems in mathematics, and it has been the subject of much study and research for many years. While it is impossible to predict with certainty whether the conjecture will ever be solved, there are several reasons why it is considered a challenging and important problem:\\n\\n1. Simple yet elusive: The Collatz Conjecture is a deceptively simple statement that has proven to be extraordinarily difficult to prove or disprove. Despite its simplicity, the conjecture has eluded some of the brightest minds in mathematics, and it remains one of the most famous open problems in the field.\\n2. Wide-ranging implications: The Collatz Conjecture has far-reaching implications for many areas of mathematics, including number theory, algebra, and analysis. A solution to the conjecture could have significant impacts on these fields and potentially lead to new insights and discoveries.\\n3. Computational evidence: While the conjecture remains unproven, extensive computational evidence supports its validity. In fact, no counterexample to the conjecture has been found for any starting value up to 2^64 (a number', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' The Collatz Conjecture is one of the most famous unsolved problems in mathematics, and it has been the subject of much study and research for many years. While it is impossible to predict with certainty whether the conjecture will ever be solved, there are several reasons why it is considered a challenging and important problem:\\n\\n1. Simple yet elusive: The Collatz Conjecture is a deceptively simple statement that has proven to be extraordinarily difficult to prove or disprove. Despite its simplicity, the conjecture has eluded some of the brightest minds in mathematics, and it remains one of the most famous open problems in the field.\\n2. Wide-ranging implications: The Collatz Conjecture has far-reaching implications for many areas of mathematics, including number theory, algebra, and analysis. A solution to the conjecture could have significant impacts on these fields and potentially lead to new insights and discoveries.\\n3. Computational evidence: While the conjecture remains unproven, extensive computational evidence supports its validity. In fact, no counterexample to the conjecture has been found for any starting value up to 2^64 (a number', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
|
||||
@@ -74,7 +74,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" Voici la traduction en français : J'adore programmer.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" Voici la traduction en français : J'adore programmer.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
|
||||
@@ -95,7 +95,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" J'aime la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" J'aime la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
@@ -144,7 +144,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"LLMResult(generations=[[ChatGeneration(text=\" J'aime programmer.\", generation_info=None, message=AIMessage(content=\" J'aime programmer.\", additional_kwargs={}, example=False))]], llm_output={}, run=[RunInfo(run_id=UUID('8cc8fb68-1c35-439c-96a0-695036a93652'))])"
|
||||
"LLMResult(generations=[[ChatGeneration(text=\" J'aime programmer.\", generation_info=None, message=AIMessage(content=\" J'aime programmer.\", data={}, example=False))]], llm_output={}, run=[RunInfo(run_id=UUID('8cc8fb68-1c35-439c-96a0-695036a93652'))])"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -174,7 +174,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" J'aime la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" J'aime la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
|
||||
@@ -103,7 +103,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='Hello, I am an artificial intelligence language model. My purpose is to help users answer questions or provide information. What can I do for you?', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content='Hello, I am an artificial intelligence language model. My purpose is to help users answer questions or provide information. What can I do for you?', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 15,
|
||||
|
||||
@@ -185,7 +185,7 @@
|
||||
"\n",
|
||||
"result = chat.invoke(\"I am a 27 year old named Erick\")\n",
|
||||
"\n",
|
||||
"pprint(result.additional_kwargs[\"tool_calls\"][0])"
|
||||
"pprint(result.data[\"tool_calls\"][0])"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -51,7 +51,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"J'aime programmer.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"J'aime programmer.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
@@ -107,7 +107,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"J'aime programmer.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"J'aime programmer.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
|
||||
@@ -59,7 +59,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" J'aime la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" J'aime la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
@@ -109,7 +109,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"LLMResult(generations=[[ChatGeneration(text=\" J'aime programmer.\", generation_info=None, message=AIMessage(content=\" J'aime programmer.\", additional_kwargs={}, example=False))]], llm_output={}, run=[RunInfo(run_id=UUID('8cc8fb68-1c35-439c-96a0-695036a93652'))])"
|
||||
"LLMResult(generations=[[ChatGeneration(text=\" J'aime programmer.\", generation_info=None, message=AIMessage(content=\" J'aime programmer.\", data={}, example=False))]], llm_output={}, run=[RunInfo(run_id=UUID('8cc8fb68-1c35-439c-96a0-695036a93652'))])"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -139,7 +139,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\" J'aime la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\" J'aime la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
|
||||
@@ -93,7 +93,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_current_weather', 'arguments': '{\"location\": \"Boston, MA\", \"unit\": \"celsius\"}'}})"
|
||||
"AIMessage(content='', data={'function_call': {'name': 'get_current_weather', 'arguments': '{\"location\": \"Boston, MA\", \"unit\": \"celsius\"}'}})"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
|
||||
@@ -74,7 +74,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"J'adore la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"J'adore la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
@@ -130,7 +130,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"J'adore la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"J'adore la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -172,7 +172,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"J'adore la programmation.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"J'adore la programmation.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
|
||||
@@ -107,7 +107,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='to take a nap in a cozy spot. I search around for a suitable place and finally settle on a soft cushion on the window sill. I curl up into a ball and close my eyes, relishing the warmth of the sun on my fur. As I drift off to sleep, I can hear the birds chirping outside and feel the gentle breeze blowing through the window. This is the life of a contented cat.', additional_kwargs={})"
|
||||
"AIMessage(content='to take a nap in a cozy spot. I search around for a suitable place and finally settle on a soft cushion on the window sill. I curl up into a ball and close my eyes, relishing the warmth of the sun on my fur. As I drift off to sleep, I can hear the birds chirping outside and feel the gentle breeze blowing through the window. This is the life of a contented cat.', data={})"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
|
||||
@@ -94,8 +94,8 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"chat resp: content='Hello! How' additional_kwargs={} example=False\n",
|
||||
"chat resp: content=' can I assist you today?' additional_kwargs={} example=False\n"
|
||||
"chat resp: content='Hello! How' data={} example=False\n",
|
||||
"chat resp: content=' can I assist you today?' data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -119,7 +119,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessageChunk(content=\"J'aime programmer.\", additional_kwargs={}, example=False)"
|
||||
"AIMessageChunk(content=\"J'aime programmer.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
|
||||
@@ -71,7 +71,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' Io amo programmare', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' Io amo programmare', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 15,
|
||||
@@ -129,7 +129,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' I love programming too.', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' I love programming too.', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 17,
|
||||
|
||||
@@ -127,7 +127,7 @@
|
||||
" results.append(\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"\".join(current_content).strip(),\n",
|
||||
" additional_kwargs={\n",
|
||||
" data={\n",
|
||||
" \"sender\": current_sender,\n",
|
||||
" \"events\": [{\"message_time\": current_timestamp}],\n",
|
||||
" },\n",
|
||||
@@ -141,7 +141,7 @@
|
||||
" results.append(\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"\".join(current_content).strip(),\n",
|
||||
" additional_kwargs={\n",
|
||||
" data={\n",
|
||||
" \"sender\": current_sender,\n",
|
||||
" \"events\": [{\"message_time\": current_timestamp}],\n",
|
||||
" },\n",
|
||||
@@ -156,7 +156,7 @@
|
||||
" results.append(\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"\".join(current_content).strip(),\n",
|
||||
" additional_kwargs={\n",
|
||||
" data={\n",
|
||||
" \"sender\": current_sender,\n",
|
||||
" \"events\": [{\"message_time\": current_timestamp}],\n",
|
||||
" },\n",
|
||||
@@ -240,14 +240,14 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[{'messages': [AIMessage(content='Love music! Do you like jazz?', additional_kwargs={'sender': 'talkingtower', 'events': [{'message_time': '08/15/2023 11:10 AM\\n'}]}),\n",
|
||||
" HumanMessage(content='Yes! Jazz is fantastic. Ever heard this one?\\nWebsite\\nListen to classic jazz track...', additional_kwargs={'sender': 'reporterbob', 'events': [{'message_time': '08/15/2023 9:27 PM\\n'}]}),\n",
|
||||
" AIMessage(content='Indeed! Great choice. 🎷', additional_kwargs={'sender': 'talkingtower', 'events': [{'message_time': 'Yesterday at 5:03 AM\\n'}]}),\n",
|
||||
" HumanMessage(content='Thanks! How about some virtual sightseeing?\\nWebsite\\nVirtual tour of famous landmarks...', additional_kwargs={'sender': 'reporterbob', 'events': [{'message_time': 'Yesterday at 5:23 AM\\n'}]}),\n",
|
||||
" AIMessage(content=\"Sounds fun! Let's explore.\", additional_kwargs={'sender': 'talkingtower', 'events': [{'message_time': 'Today at 2:38 PM\\n'}]}),\n",
|
||||
" HumanMessage(content='Enjoy the tour! See you around.', additional_kwargs={'sender': 'reporterbob', 'events': [{'message_time': 'Today at 2:56 PM\\n'}]}),\n",
|
||||
" AIMessage(content='Thank you! Goodbye! 👋', additional_kwargs={'sender': 'talkingtower', 'events': [{'message_time': 'Today at 3:00 PM\\n'}]}),\n",
|
||||
" HumanMessage(content='Farewell! Happy exploring.', additional_kwargs={'sender': 'reporterbob', 'events': [{'message_time': 'Today at 3:02 PM\\n'}]})]}]"
|
||||
"[{'messages': [AIMessage(content='Love music! Do you like jazz?', data={'sender': 'talkingtower', 'events': [{'message_time': '08/15/2023 11:10 AM\\n'}]}),\n",
|
||||
" HumanMessage(content='Yes! Jazz is fantastic. Ever heard this one?\\nWebsite\\nListen to classic jazz track...', data={'sender': 'reporterbob', 'events': [{'message_time': '08/15/2023 9:27 PM\\n'}]}),\n",
|
||||
" AIMessage(content='Indeed! Great choice. 🎷', data={'sender': 'talkingtower', 'events': [{'message_time': 'Yesterday at 5:03 AM\\n'}]}),\n",
|
||||
" HumanMessage(content='Thanks! How about some virtual sightseeing?\\nWebsite\\nVirtual tour of famous landmarks...', data={'sender': 'reporterbob', 'events': [{'message_time': 'Yesterday at 5:23 AM\\n'}]}),\n",
|
||||
" AIMessage(content=\"Sounds fun! Let's explore.\", data={'sender': 'talkingtower', 'events': [{'message_time': 'Today at 2:38 PM\\n'}]}),\n",
|
||||
" HumanMessage(content='Enjoy the tour! See you around.', data={'sender': 'reporterbob', 'events': [{'message_time': 'Today at 2:56 PM\\n'}]}),\n",
|
||||
" AIMessage(content='Thank you! Goodbye! 👋', data={'sender': 'talkingtower', 'events': [{'message_time': 'Today at 3:00 PM\\n'}]}),\n",
|
||||
" HumanMessage(content='Farewell! Happy exploring.', data={'sender': 'reporterbob', 'events': [{'message_time': 'Today at 3:02 PM\\n'}]})]}]"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -133,9 +133,9 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[HumanMessage(content=\"Hi Hermione! How's your summer going so far?\", additional_kwargs={'sender': 'Harry Potter'}),\n",
|
||||
" HumanMessage(content=\"Harry! Lovely to hear from you. My summer is going well, though I do miss everyone. I'm spending most of my time going through my books and researching fascinating new topics. How about you?\", additional_kwargs={'sender': 'Hermione Granger'}),\n",
|
||||
" HumanMessage(content=\"I miss you all too. The Dursleys are being their usual unpleasant selves but I'm getting by. At least I can practice some spells in my room without them knowing. Let me know if you find anything good in your researching!\", additional_kwargs={'sender': 'Harry Potter'})]"
|
||||
"[HumanMessage(content=\"Hi Hermione! How's your summer going so far?\", data={'sender': 'Harry Potter'}),\n",
|
||||
" HumanMessage(content=\"Harry! Lovely to hear from you. My summer is going well, though I do miss everyone. I'm spending most of my time going through my books and researching fascinating new topics. How about you?\", data={'sender': 'Hermione Granger'}),\n",
|
||||
" HumanMessage(content=\"I miss you all too. The Dursleys are being their usual unpleasant selves but I'm getting by. At least I can practice some spells in my room without them knowing. Let me know if you find anything good in your researching!\", data={'sender': 'Harry Potter'})]"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -227,9 +227,9 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[AIMessage(content=\"Professor Snape, I was hoping I could speak with you for a moment about something that's been concerning me lately.\", additional_kwargs={'sender': 'Harry Potter'}),\n",
|
||||
" HumanMessage(content=\"What is it, Potter? I'm quite busy at the moment.\", additional_kwargs={'sender': 'Severus Snape'}),\n",
|
||||
" AIMessage(content=\"I apologize for the interruption, sir. I'll be brief. I've noticed some strange activity around the school grounds at night. I saw a cloaked figure lurking near the Forbidden Forest last night. I'm worried someone may be plotting something sinister.\", additional_kwargs={'sender': 'Harry Potter'})]"
|
||||
"[AIMessage(content=\"Professor Snape, I was hoping I could speak with you for a moment about something that's been concerning me lately.\", data={'sender': 'Harry Potter'}),\n",
|
||||
" HumanMessage(content=\"What is it, Potter? I'm quite busy at the moment.\", data={'sender': 'Severus Snape'}),\n",
|
||||
" AIMessage(content=\"I apologize for the interruption, sir. I'll be brief. I've noticed some strange activity around the school grounds at night. I saw a cloaked figure lurking near the Forbidden Forest last night. I'm worried someone may be plotting something sinister.\", data={'sender': 'Harry Potter'})]"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
|
||||
@@ -140,9 +140,9 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[AIMessage(content=\"Slow and steady, that's my motto.\", additional_kwargs={'message_time': 1693182723, 'sender': 'Tortoise'}, example=False),\n",
|
||||
" HumanMessage(content='Speed is key!', additional_kwargs={'message_time': 1693182753, 'sender': 'Hare'}, example=False),\n",
|
||||
" AIMessage(content='A balanced approach is more reliable.', additional_kwargs={'message_time': 1693182783, 'sender': 'Tortoise'}, example=False)]"
|
||||
"[AIMessage(content=\"Slow and steady, that's my motto.\", data={'message_time': 1693182723, 'sender': 'Tortoise'}, example=False),\n",
|
||||
" HumanMessage(content='Speed is key!', data={'message_time': 1693182753, 'sender': 'Hare'}, example=False),\n",
|
||||
" AIMessage(content='A balanced approach is more reliable.', data={'message_time': 1693182783, 'sender': 'Tortoise'}, example=False)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 13,
|
||||
|
||||
@@ -111,7 +111,7 @@
|
||||
" results.append(\n",
|
||||
" HumanMessage(\n",
|
||||
" content=content,\n",
|
||||
" additional_kwargs={\n",
|
||||
" data={\n",
|
||||
" \"sender\": current_sender,\n",
|
||||
" \"events\": [{\"message_time\": current_timestamp}],\n",
|
||||
" },\n",
|
||||
@@ -231,10 +231,10 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[{'messages': [HumanMessage(content='天气有点凉', additional_kwargs={'sender': '女朋友', 'events': [{'message_time': '2023/09/16 2:51 PM'}]}, example=False),\n",
|
||||
" AIMessage(content='珍簟凉风著，瑶琴寄恨生。嵇君懒书札，底物慰秋情。', additional_kwargs={'sender': '男朋友', 'events': [{'message_time': '2023/09/16 2:51 PM'}]}, example=False),\n",
|
||||
" HumanMessage(content='忙什么呢', additional_kwargs={'sender': '女朋友', 'events': [{'message_time': '2023/09/16 3:06 PM'}]}, example=False),\n",
|
||||
" AIMessage(content='今天只干成了一件像样的事\\n那就是想你', additional_kwargs={'sender': '男朋友', 'events': [{'message_time': '2023/09/16 3:06 PM'}]}, example=False)]}]"
|
||||
"[{'messages': [HumanMessage(content='天气有点凉', data={'sender': '女朋友', 'events': [{'message_time': '2023/09/16 2:51 PM'}]}, example=False),\n",
|
||||
" AIMessage(content='珍簟凉风著，瑶琴寄恨生。嵇君懒书札，底物慰秋情。', data={'sender': '男朋友', 'events': [{'message_time': '2023/09/16 2:51 PM'}]}, example=False),\n",
|
||||
" HumanMessage(content='忙什么呢', data={'sender': '女朋友', 'events': [{'message_time': '2023/09/16 3:06 PM'}]}, example=False),\n",
|
||||
" AIMessage(content='今天只干成了一件像样的事\\n那就是想你', data={'sender': '男朋友', 'events': [{'message_time': '2023/09/16 3:06 PM'}]}, example=False)]}]"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
|
||||
@@ -108,14 +108,14 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[{'messages': [AIMessage(content='I spotted a rare Hyacinth Macaw yesterday in the Amazon Rainforest. Such a magnificent creature!', additional_kwargs={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:12:43 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"That's stunning! Were you able to observe its behavior?\", additional_kwargs={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:13:15 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"Yes, it seemed quite social with other macaws. They're known for their playful nature.\", additional_kwargs={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:14:02 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"How's the research going on parrot communication?\", additional_kwargs={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:14:15 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"It's progressing well. We're learning so much about how they use sound and color to communicate.\", additional_kwargs={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:14:50 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"That's fascinating! Can't wait to read your paper on it.\", additional_kwargs={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:15:10 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"Thank you! I'll send you a draft soon.\", additional_kwargs={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:15:20 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content='Looking forward to it! Keep up the great work.', additional_kwargs={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:25:16 PM'}]}, example=False)]}]"
|
||||
"[{'messages': [AIMessage(content='I spotted a rare Hyacinth Macaw yesterday in the Amazon Rainforest. Such a magnificent creature!', data={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:12:43 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"That's stunning! Were you able to observe its behavior?\", data={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:13:15 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"Yes, it seemed quite social with other macaws. They're known for their playful nature.\", data={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:14:02 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"How's the research going on parrot communication?\", data={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:14:15 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"It's progressing well. We're learning so much about how they use sound and color to communicate.\", data={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:14:50 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content=\"That's fascinating! Can't wait to read your paper on it.\", data={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:15:10 AM'}]}, example=False),\n",
|
||||
" AIMessage(content=\"Thank you! I'll send you a draft soon.\", data={'sender': 'Dr. Feather', 'events': [{'message_time': '8/15/23, 9:15:20 AM'}]}, example=False),\n",
|
||||
" HumanMessage(content='Looking forward to it! Keep up the great work.', data={'sender': 'Jungle Jane', 'events': [{'message_time': '8/15/23, 9:25:16 PM'}]}, example=False)]}]"
|
||||
]
|
||||
},
|
||||
"execution_count": 13,
|
||||
|
||||
@@ -148,8 +148,8 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"indexing message content='hi!' additional_kwargs={} example=False\n",
|
||||
"indexing message content='whats up?' additional_kwargs={} example=False\n"
|
||||
"indexing message content='hi!' data={} example=False\n",
|
||||
"indexing message content='whats up?' data={} example=False\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -52,8 +52,8 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[HumanMessage(content='hi!', additional_kwargs={}, example=False),\n",
|
||||
" AIMessage(content='whats up?', additional_kwargs={}, example=False)]"
|
||||
"[HumanMessage(content='hi!', data={}, example=False),\n",
|
||||
" AIMessage(content='whats up?', data={}, example=False)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
|
||||
@@ -77,8 +77,8 @@
|
||||
"\n",
|
||||
"```python\n",
|
||||
"[\n",
|
||||
" HumanMessage(content='hi!', additional_kwargs={'id': '2e62f1c2-e9f7-465e-b551-49bae07fe9f0'}, example=False), \n",
|
||||
" AIMessage(content='whats up?', additional_kwargs={'id': 'b9be8eda-4c18-4cf8-81c3-e91e876927d0'}, example=False)\n",
|
||||
" HumanMessage(content='hi!', data={'id': '2e62f1c2-e9f7-465e-b551-49bae07fe9f0'}, example=False), \n",
|
||||
" AIMessage(content='whats up?', data={'id': 'b9be8eda-4c18-4cf8-81c3-e91e876927d0'}, example=False)\n",
|
||||
"]\n",
|
||||
"\n",
|
||||
"```"
|
||||
|
||||
@@ -312,23 +312,23 @@
|
||||
"\n",
|
||||
"\n",
|
||||
"system :\n",
|
||||
" {'content': 'The human inquires about Octavia Butler. The AI identifies her as an American science fiction author. The human then asks which books of hers were made into movies. The AI responds by mentioning the FX series Kindred, based on her novel of the same name. The human then asks about her contemporaries, and the AI lists Ursula K. Le Guin, Samuel R. Delany, and Joanna Russ.', 'additional_kwargs': {}}\n",
|
||||
" {'content': 'The human inquires about Octavia Butler. The AI identifies her as an American science fiction author. The human then asks which books of hers were made into movies. The AI responds by mentioning the FX series Kindred, based on her novel of the same name. The human then asks about her contemporaries, and the AI lists Ursula K. Le Guin, Samuel R. Delany, and Joanna Russ.', 'data': {}}\n",
|
||||
"human :\n",
|
||||
" {'content': 'What awards did she win?', 'additional_kwargs': {'uuid': '6b733f0b-6778-49ae-b3ec-4e077c039f31', 'created_at': '2023-07-09T19:23:16.611232Z', 'token_count': 8, 'metadata': {'system': {'entities': [], 'intent': 'The subject is inquiring about the awards that someone, whose identity is not specified, has won.'}}}, 'example': False}\n",
|
||||
" {'content': 'What awards did she win?', 'data': {'uuid': '6b733f0b-6778-49ae-b3ec-4e077c039f31', 'created_at': '2023-07-09T19:23:16.611232Z', 'token_count': 8, 'metadata': {'system': {'entities': [], 'intent': 'The subject is inquiring about the awards that someone, whose identity is not specified, has won.'}}}, 'example': False}\n",
|
||||
"ai :\n",
|
||||
" {'content': 'Octavia Butler won the Hugo Award, the Nebula Award, and the MacArthur Fellowship.', 'additional_kwargs': {'uuid': '2f6d80c6-3c08-4fd4-8d4e-7bbee341ac90', 'created_at': '2023-07-09T19:23:16.618947Z', 'token_count': 21, 'metadata': {'system': {'entities': [{'Label': 'PERSON', 'Matches': [{'End': 14, 'Start': 0, 'Text': 'Octavia Butler'}], 'Name': 'Octavia Butler'}, {'Label': 'WORK_OF_ART', 'Matches': [{'End': 33, 'Start': 19, 'Text': 'the Hugo Award'}], 'Name': 'the Hugo Award'}, {'Label': 'EVENT', 'Matches': [{'End': 81, 'Start': 57, 'Text': 'the MacArthur Fellowship'}], 'Name': 'the MacArthur Fellowship'}], 'intent': 'The subject is stating that Octavia Butler received the Hugo Award, the Nebula Award, and the MacArthur Fellowship.'}}}, 'example': False}\n",
|
||||
" {'content': 'Octavia Butler won the Hugo Award, the Nebula Award, and the MacArthur Fellowship.', 'data': {'uuid': '2f6d80c6-3c08-4fd4-8d4e-7bbee341ac90', 'created_at': '2023-07-09T19:23:16.618947Z', 'token_count': 21, 'metadata': {'system': {'entities': [{'Label': 'PERSON', 'Matches': [{'End': 14, 'Start': 0, 'Text': 'Octavia Butler'}], 'Name': 'Octavia Butler'}, {'Label': 'WORK_OF_ART', 'Matches': [{'End': 33, 'Start': 19, 'Text': 'the Hugo Award'}], 'Name': 'the Hugo Award'}, {'Label': 'EVENT', 'Matches': [{'End': 81, 'Start': 57, 'Text': 'the MacArthur Fellowship'}], 'Name': 'the MacArthur Fellowship'}], 'intent': 'The subject is stating that Octavia Butler received the Hugo Award, the Nebula Award, and the MacArthur Fellowship.'}}}, 'example': False}\n",
|
||||
"human :\n",
|
||||
" {'content': 'Which other women sci-fi writers might I want to read?', 'additional_kwargs': {'uuid': 'ccdcc901-ea39-4981-862f-6fe22ab9289b', 'created_at': '2023-07-09T19:23:16.62678Z', 'token_count': 14, 'metadata': {'system': {'entities': [], 'intent': 'The subject is seeking recommendations for additional women science fiction writers to explore.'}}}, 'example': False}\n",
|
||||
" {'content': 'Which other women sci-fi writers might I want to read?', 'data': {'uuid': 'ccdcc901-ea39-4981-862f-6fe22ab9289b', 'created_at': '2023-07-09T19:23:16.62678Z', 'token_count': 14, 'metadata': {'system': {'entities': [], 'intent': 'The subject is seeking recommendations for additional women science fiction writers to explore.'}}}, 'example': False}\n",
|
||||
"ai :\n",
|
||||
" {'content': 'You might want to read Ursula K. Le Guin or Joanna Russ.', 'additional_kwargs': {'uuid': '7977099a-0c62-4c98-bfff-465bbab6c9c3', 'created_at': '2023-07-09T19:23:16.631721Z', 'token_count': 18, 'metadata': {'system': {'entities': [{'Label': 'ORG', 'Matches': [{'End': 40, 'Start': 23, 'Text': 'Ursula K. Le Guin'}], 'Name': 'Ursula K. Le Guin'}, {'Label': 'PERSON', 'Matches': [{'End': 55, 'Start': 44, 'Text': 'Joanna Russ'}], 'Name': 'Joanna Russ'}], 'intent': 'The subject is suggesting that the person should consider reading the works of Ursula K. Le Guin or Joanna Russ.'}}}, 'example': False}\n",
|
||||
" {'content': 'You might want to read Ursula K. Le Guin or Joanna Russ.', 'data': {'uuid': '7977099a-0c62-4c98-bfff-465bbab6c9c3', 'created_at': '2023-07-09T19:23:16.631721Z', 'token_count': 18, 'metadata': {'system': {'entities': [{'Label': 'ORG', 'Matches': [{'End': 40, 'Start': 23, 'Text': 'Ursula K. Le Guin'}], 'Name': 'Ursula K. Le Guin'}, {'Label': 'PERSON', 'Matches': [{'End': 55, 'Start': 44, 'Text': 'Joanna Russ'}], 'Name': 'Joanna Russ'}], 'intent': 'The subject is suggesting that the person should consider reading the works of Ursula K. Le Guin or Joanna Russ.'}}}, 'example': False}\n",
|
||||
"human :\n",
|
||||
" {'content': \"Write a short synopsis of Butler's book, Parable of the Sower. What is it about?\", 'additional_kwargs': {'uuid': 'e439b7e6-286a-4278-a8cb-dc260fa2e089', 'created_at': '2023-07-09T19:23:16.63623Z', 'token_count': 23, 'metadata': {'system': {'entities': [{'Label': 'ORG', 'Matches': [{'End': 32, 'Start': 26, 'Text': 'Butler'}], 'Name': 'Butler'}, {'Label': 'WORK_OF_ART', 'Matches': [{'End': 61, 'Start': 41, 'Text': 'Parable of the Sower'}], 'Name': 'Parable of the Sower'}], 'intent': 'The subject is requesting a brief summary or explanation of the book \"Parable of the Sower\" by Butler.'}}}, 'example': False}\n",
|
||||
" {'content': \"Write a short synopsis of Butler's book, Parable of the Sower. What is it about?\", 'data': {'uuid': 'e439b7e6-286a-4278-a8cb-dc260fa2e089', 'created_at': '2023-07-09T19:23:16.63623Z', 'token_count': 23, 'metadata': {'system': {'entities': [{'Label': 'ORG', 'Matches': [{'End': 32, 'Start': 26, 'Text': 'Butler'}], 'Name': 'Butler'}, {'Label': 'WORK_OF_ART', 'Matches': [{'End': 61, 'Start': 41, 'Text': 'Parable of the Sower'}], 'Name': 'Parable of the Sower'}], 'intent': 'The subject is requesting a brief summary or explanation of the book \"Parable of the Sower\" by Butler.'}}}, 'example': False}\n",
|
||||
"ai :\n",
|
||||
" {'content': 'Parable of the Sower is a science fiction novel by Octavia Butler, published in 1993. It follows the story of Lauren Olamina, a young woman living in a dystopian future where society has collapsed due to environmental disasters, poverty, and violence.', 'additional_kwargs': {'uuid': '6760489b-19c9-41aa-8b45-fae6cb1d7ee6', 'created_at': '2023-07-09T19:23:16.647524Z', 'token_count': 56, 'metadata': {'foo': 'bar', 'system': {'entities': [{'Label': 'GPE', 'Matches': [{'End': 20, 'Start': 15, 'Text': 'Sower'}], 'Name': 'Sower'}, {'Label': 'PERSON', 'Matches': [{'End': 65, 'Start': 51, 'Text': 'Octavia Butler'}], 'Name': 'Octavia Butler'}, {'Label': 'DATE', 'Matches': [{'End': 84, 'Start': 80, 'Text': '1993'}], 'Name': '1993'}, {'Label': 'PERSON', 'Matches': [{'End': 124, 'Start': 110, 'Text': 'Lauren Olamina'}], 'Name': 'Lauren Olamina'}], 'intent': 'The subject is providing information about the novel \"Parable of the Sower\" by Octavia Butler, including its genre, publication date, and a brief summary of the plot.'}}}, 'example': False}\n",
|
||||
" {'content': 'Parable of the Sower is a science fiction novel by Octavia Butler, published in 1993. It follows the story of Lauren Olamina, a young woman living in a dystopian future where society has collapsed due to environmental disasters, poverty, and violence.', 'data': {'uuid': '6760489b-19c9-41aa-8b45-fae6cb1d7ee6', 'created_at': '2023-07-09T19:23:16.647524Z', 'token_count': 56, 'metadata': {'foo': 'bar', 'system': {'entities': [{'Label': 'GPE', 'Matches': [{'End': 20, 'Start': 15, 'Text': 'Sower'}], 'Name': 'Sower'}, {'Label': 'PERSON', 'Matches': [{'End': 65, 'Start': 51, 'Text': 'Octavia Butler'}], 'Name': 'Octavia Butler'}, {'Label': 'DATE', 'Matches': [{'End': 84, 'Start': 80, 'Text': '1993'}], 'Name': '1993'}, {'Label': 'PERSON', 'Matches': [{'End': 124, 'Start': 110, 'Text': 'Lauren Olamina'}], 'Name': 'Lauren Olamina'}], 'intent': 'The subject is providing information about the novel \"Parable of the Sower\" by Octavia Butler, including its genre, publication date, and a brief summary of the plot.'}}}, 'example': False}\n",
|
||||
"human :\n",
|
||||
" {'content': \"What is the book's relevance to the challenges facing contemporary society?\", 'additional_kwargs': {'uuid': '7dbbbb93-492b-4739-800f-cad2b6e0e764', 'created_at': '2023-07-09T19:23:19.315182Z', 'token_count': 15, 'metadata': {'system': {'entities': [], 'intent': 'The subject is asking about the relevance of a book to the challenges currently faced by society.'}}}, 'example': False}\n",
|
||||
" {'content': \"What is the book's relevance to the challenges facing contemporary society?\", 'data': {'uuid': '7dbbbb93-492b-4739-800f-cad2b6e0e764', 'created_at': '2023-07-09T19:23:19.315182Z', 'token_count': 15, 'metadata': {'system': {'entities': [], 'intent': 'The subject is asking about the relevance of a book to the challenges currently faced by society.'}}}, 'example': False}\n",
|
||||
"ai :\n",
|
||||
" {'content': 'Parable of the Sower is a prescient novel that speaks to the challenges facing contemporary society, such as climate change, inequality, and violence. It is a cautionary tale that warns of the dangers of unchecked greed and the need for individuals to take responsibility for their own lives and the lives of those around them.', 'additional_kwargs': {'uuid': '3e14ac8f-b7c1-4360-958b-9f3eae1f784f', 'created_at': '2023-07-09T19:23:19.332517Z', 'token_count': 66, 'metadata': {'system': {'entities': [{'Label': 'GPE', 'Matches': [{'End': 20, 'Start': 15, 'Text': 'Sower'}], 'Name': 'Sower'}], 'intent': 'The subject is providing an analysis and evaluation of the novel \"Parable of the Sower\" and highlighting its relevance to contemporary societal challenges.'}}}, 'example': False}\n"
|
||||
" {'content': 'Parable of the Sower is a prescient novel that speaks to the challenges facing contemporary society, such as climate change, inequality, and violence. It is a cautionary tale that warns of the dangers of unchecked greed and the need for individuals to take responsibility for their own lives and the lives of those around them.', 'data': {'uuid': '3e14ac8f-b7c1-4360-958b-9f3eae1f784f', 'created_at': '2023-07-09T19:23:19.332517Z', 'token_count': 66, 'metadata': {'system': {'entities': [{'Label': 'GPE', 'Matches': [{'End': 20, 'Start': 15, 'Text': 'Sower'}], 'Name': 'Sower'}], 'intent': 'The subject is providing an analysis and evaluation of the novel \"Parable of the Sower\" and highlighting its relevance to contemporary societal challenges.'}}}, 'example': False}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -189,7 +189,7 @@
|
||||
" \"generation_info\": null,\n",
|
||||
" \"message\": {\n",
|
||||
" \"content\": \"\",\n",
|
||||
" \"additional_kwargs\": {\n",
|
||||
" \"data\": {\n",
|
||||
" \"function_call\": {\n",
|
||||
" \"name\": \"tool_selection\",\n",
|
||||
" \"arguments\": \"{\\n \\\"actions\\\": [\\n {\\n \\\"action_name\\\": \\\"alphabet-earnings\\\",\\n \\\"action\\\": {\\n \\\"question\\\": \\\"What was Alphabet's revenue?\\\"\\n }\\n },\\n {\\n \\\"action_name\\\": \\\"tesla-earnings\\\",\\n \\\"action\\\": {\\n \\\"question\\\": \\\"What was Tesla's revenue?\\\"\\n }\\n }\\n ]\\n}\"\n",
|
||||
@@ -238,7 +238,7 @@
|
||||
" \"generation_info\": null,\n",
|
||||
" \"message\": {\n",
|
||||
" \"content\": \"Alphabet's revenue for the quarter ended March 31, 2023, was $69,787 million.\",\n",
|
||||
" \"additional_kwargs\": {},\n",
|
||||
" \"data\": {},\n",
|
||||
" \"example\": false\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
@@ -296,7 +296,7 @@
|
||||
" \"generation_info\": null,\n",
|
||||
" \"message\": {\n",
|
||||
" \"content\": \"Tesla's revenue for Q1-2023 was $23.329 billion.\",\n",
|
||||
" \"additional_kwargs\": {},\n",
|
||||
" \"data\": {},\n",
|
||||
" \"example\": false\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
@@ -341,7 +341,7 @@
|
||||
" \"generation_info\": null,\n",
|
||||
" \"message\": {\n",
|
||||
" \"content\": \"Alphabet had a revenue of $69,787 million, while Tesla had a revenue of $23.329 billion. Therefore, Alphabet had more revenue than Tesla.\",\n",
|
||||
" \"additional_kwargs\": {},\n",
|
||||
" \"data\": {},\n",
|
||||
" \"example\": false\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
|
||||
@@ -185,11 +185,11 @@
|
||||
"source": [
|
||||
"def parse(output):\n",
|
||||
" # If no function was invoked, return to user\n",
|
||||
" if \"function_call\" not in output.additional_kwargs:\n",
|
||||
" if \"function_call\" not in output.data:\n",
|
||||
" return AgentFinish(return_values={\"output\": output.content}, log=output.content)\n",
|
||||
"\n",
|
||||
" # Parse out the function call\n",
|
||||
" function_call = output.additional_kwargs[\"function_call\"]\n",
|
||||
" function_call = output.data[\"function_call\"]\n",
|
||||
" name = function_call[\"name\"]\n",
|
||||
" inputs = json.loads(function_call[\"arguments\"])\n",
|
||||
"\n",
|
||||
|
||||
@@ -227,9 +227,9 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[{'actions': [OpenAIToolAgentAction(tool='get_word_length', tool_input={'word': 'eudca'}, log=\"\\nInvoking: `get_word_length` with `{'word': 'eudca'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})], tool_call_id='call_A07D5TuyqcNIL0DIEVRPpZkg')],\n",
|
||||
" 'messages': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})]},\n",
|
||||
" {'steps': [AgentStep(action=OpenAIToolAgentAction(tool='get_word_length', tool_input={'word': 'eudca'}, log=\"\\nInvoking: `get_word_length` with `{'word': 'eudca'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})], tool_call_id='call_A07D5TuyqcNIL0DIEVRPpZkg'), observation=5)],\n",
|
||||
"[{'actions': [OpenAIToolAgentAction(tool='get_word_length', tool_input={'word': 'eudca'}, log=\"\\nInvoking: `get_word_length` with `{'word': 'eudca'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})], tool_call_id='call_A07D5TuyqcNIL0DIEVRPpZkg')],\n",
|
||||
" 'messages': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})]},\n",
|
||||
" {'steps': [AgentStep(action=OpenAIToolAgentAction(tool='get_word_length', tool_input={'word': 'eudca'}, log=\"\\nInvoking: `get_word_length` with `{'word': 'eudca'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_A07D5TuyqcNIL0DIEVRPpZkg', 'function': {'arguments': '{\\n \"word\": \"eudca\"\\n}', 'name': 'get_word_length'}, 'type': 'function'}]})], tool_call_id='call_A07D5TuyqcNIL0DIEVRPpZkg'), observation=5)],\n",
|
||||
" 'messages': [FunctionMessage(content='5', name='get_word_length')]},\n",
|
||||
" {'output': 'There are 5 letters in the word \"eudca\".',\n",
|
||||
" 'messages': [AIMessage(content='There are 5 letters in the word \"eudca\".')]}]"
|
||||
|
||||
@@ -104,7 +104,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[(AgentActionMessageLog(tool='Wikipedia', tool_input='Leo DiCaprio', log='\\nInvoking: `Wikipedia` with `Leo DiCaprio`\\n\\n\\n', message_log=[AIMessage(content='', additional_kwargs={'function_call': {'name': 'Wikipedia', 'arguments': '{\\n \"__arg1\": \"Leo DiCaprio\"\\n}'}})]), 'Page: Leonardo DiCaprio\\nSummary: Leonardo Wilhelm DiCaprio (; Italian: [diˈkaːprjo]; born November 1')]\n"
|
||||
"[(AgentActionMessageLog(tool='Wikipedia', tool_input='Leo DiCaprio', log='\\nInvoking: `Wikipedia` with `Leo DiCaprio`\\n\\n\\n', message_log=[AIMessage(content='', data={'function_call': {'name': 'Wikipedia', 'arguments': '{\\n \"__arg1\": \"Leo DiCaprio\"\\n}'}})]), 'Page: Leonardo DiCaprio\\nSummary: Leonardo Wilhelm DiCaprio (; Italian: [diˈkaːprjo]; born November 1')]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -266,7 +266,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pKy4OLcBx6pR6k3GHBOlH68r', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pKy4OLcBx6pR6k3GHBOlH68r')]"
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pKy4OLcBx6pR6k3GHBOlH68r', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pKy4OLcBx6pR6k3GHBOlH68r')]"
|
||||
]
|
||||
},
|
||||
"execution_count": 8,
|
||||
@@ -288,9 +288,9 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pKy4OLcBx6pR6k3GHBOlH68r', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})]\n",
|
||||
"[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pKy4OLcBx6pR6k3GHBOlH68r', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})]\n",
|
||||
"[FunctionMessage(content='on the shelf', name='where_cat_is_hiding')]\n",
|
||||
"[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_qZTz1mRfCCXT18SUy0E07eS4', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})]\n",
|
||||
"[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_qZTz1mRfCCXT18SUy0E07eS4', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})]\n",
|
||||
"[FunctionMessage(content='books, penciles and pictures', name='get_items')]\n",
|
||||
"[AIMessage(content='The items located where the cat is hiding on the shelf are books, pencils, and pictures.')]\n"
|
||||
]
|
||||
@@ -776,13 +776,13 @@
|
||||
"{'id': '6446f7ec-b3e4-4637-89d8-b4b34b46ea14', 'name': 'ChatOpenAI', 'type': 'llm', 'tags': ['seq:step:3', 'agent_llm'], 'metadata': {}, 'start_time': '2024-01-22T20:38:43.690+00:00', 'streamed_output': [], 'streamed_output_str': [], 'final_output': None, 'end_time': None}\n",
|
||||
"----\n",
|
||||
"/logs/ChatOpenAI/streamed_output/-\n",
|
||||
"content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"content='' data={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"----\n",
|
||||
"/logs/ChatOpenAI/streamed_output/-\n",
|
||||
"content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"content='' data={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"----\n",
|
||||
"/logs/ChatOpenAI/streamed_output/-\n",
|
||||
"content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"content='' data={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"----\n",
|
||||
"/logs/ChatOpenAI/end_time\n",
|
||||
"2024-01-22T20:38:44.203+00:00\n",
|
||||
@@ -794,7 +794,7 @@
|
||||
"2024-01-22T20:38:44.205+00:00\n",
|
||||
"----\n",
|
||||
"/logs/RunnableSequence/streamed_output/-\n",
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_gKFg6FX8ZQ88wFUs94yx86PF')]\n",
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_gKFg6FX8ZQ88wFUs94yx86PF')]\n",
|
||||
"----\n",
|
||||
"/logs/RunnableSequence/end_time\n",
|
||||
"2024-01-22T20:38:44.206+00:00\n",
|
||||
@@ -818,7 +818,7 @@
|
||||
"{'id': '30024dea-064f-4b04-b130-671f47ac59bc', 'name': 'RunnableAssign<agent_scratchpad>', 'type': 'chain', 'tags': ['seq:step:1'], 'metadata': {}, 'start_time': '2024-01-22T20:38:44.213+00:00', 'streamed_output': [], 'streamed_output_str': [], 'final_output': None, 'end_time': None}\n",
|
||||
"----\n",
|
||||
"/logs/RunnableAssign<agent_scratchpad>:2/streamed_output/-\n",
|
||||
"{'input': 'where is the cat hiding? what items are in that location?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_gKFg6FX8ZQ88wFUs94yx86PF'), 'under the bed')]}\n",
|
||||
"{'input': 'where is the cat hiding? what items are in that location?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_gKFg6FX8ZQ88wFUs94yx86PF', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_gKFg6FX8ZQ88wFUs94yx86PF'), 'under the bed')]}\n",
|
||||
"----\n",
|
||||
"/logs/RunnableParallel<agent_scratchpad>:2\n",
|
||||
"{'id': '98906cd7-93c2-47e8-a7d7-2e8d4ab09ed0', 'name': 'RunnableParallel<agent_scratchpad>', 'type': 'chain', 'tags': [], 'metadata': {}, 'start_time': '2024-01-22T20:38:44.215+00:00', 'streamed_output': [], 'streamed_output_str': [], 'final_output': None, 'end_time': None}\n",
|
||||
@@ -895,15 +895,15 @@
|
||||
"on chain start: \n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [], 'agent_scratchpad': []}\n",
|
||||
"On chain end\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'additional_kwargs': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'additional_kwargs': {}}}]}}\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'data': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'data': {}}}]}}\n",
|
||||
"agent_llm: \n",
|
||||
"\n",
|
||||
"on chain start: \n",
|
||||
"content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"content='' data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}\n",
|
||||
"On chain end\n",
|
||||
"[{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'agent', 'OpenAIToolAgentAction'], 'kwargs': {'tool': 'where_cat_is_hiding', 'tool_input': {}, 'log': '\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', 'message_log': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}], 'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc'}}]\n",
|
||||
"[{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'agent', 'OpenAIToolAgentAction'], 'kwargs': {'tool': 'where_cat_is_hiding', 'tool_input': {}, 'log': '\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', 'message_log': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'data': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}], 'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc'}}]\n",
|
||||
"On chain end\n",
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]\n",
|
||||
"[OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]\n",
|
||||
"Tool start\n",
|
||||
"{'name': 'where_cat_is_hiding', 'description': 'where_cat_is_hiding() -> str - Where is the cat hiding right now?'}\n",
|
||||
"Tool end\n",
|
||||
@@ -917,23 +917,23 @@
|
||||
"on chain start: \n",
|
||||
"{'input': ''}\n",
|
||||
"On chain end\n",
|
||||
"[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]\n",
|
||||
"[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]\n",
|
||||
"On chain end\n",
|
||||
"{'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"{'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"On chain end\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf')], 'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf')], 'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"on chain start: \n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf')], 'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf')], 'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc')]}\n",
|
||||
"On chain end\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'additional_kwargs': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'additional_kwargs': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc', 'content': 'on the shelf', 'additional_kwargs': {'name': 'where_cat_is_hiding'}}}]}}\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'data': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'data': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'data': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc', 'content': 'on the shelf', 'data': {'name': 'where_cat_is_hiding'}}}]}}\n",
|
||||
"agent_llm: \n",
|
||||
"\n",
|
||||
"on chain start: \n",
|
||||
"content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}\n",
|
||||
"content='' data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}\n",
|
||||
"On chain end\n",
|
||||
"[{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'agent', 'OpenAIToolAgentAction'], 'kwargs': {'tool': 'get_items', 'tool_input': {'place': 'shelf'}, 'log': \"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", 'message_log': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}}}], 'tool_call_id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh'}}]\n",
|
||||
"[{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'agent', 'OpenAIToolAgentAction'], 'kwargs': {'tool': 'get_items', 'tool_input': {'place': 'shelf'}, 'log': \"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", 'message_log': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'data': {'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}}}], 'tool_call_id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh'}}]\n",
|
||||
"On chain end\n",
|
||||
"[OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]\n",
|
||||
"[OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]\n",
|
||||
"Tool start\n",
|
||||
"{'name': 'get_items', 'description': 'get_items(place: str, callbacks: Union[List[langchain_core.callbacks.base.BaseCallbackHandler], langchain_core.callbacks.base.BaseCallbackManager, NoneType]) -> str - Use this tool to look up which items are in the given place.'}\n",
|
||||
"tool_llm: In| a| shelf|,| you| might| find|:\n",
|
||||
@@ -961,15 +961,15 @@
|
||||
"on chain start: \n",
|
||||
"{'input': ''}\n",
|
||||
"On chain end\n",
|
||||
"[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", additional_kwargs={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]\n",
|
||||
"[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", data={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]\n",
|
||||
"On chain end\n",
|
||||
"{'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", additional_kwargs={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"{'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", data={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"On chain end\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf'), (OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh'), \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\")], 'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", additional_kwargs={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf'), (OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh'), \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\")], 'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", data={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"on chain start: \n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf'), (OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh'), \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\")], 'agent_scratchpad': [AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', additional_kwargs={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", additional_kwargs={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"{'input': 'where is the cat hiding and what items can be found there?', 'intermediate_steps': [(OpenAIToolAgentAction(tool='where_cat_is_hiding', tool_input={}, log='\\nInvoking: `where_cat_is_hiding` with `{}`\\n\\n\\n', message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]})], tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), 'on the shelf'), (OpenAIToolAgentAction(tool='get_items', tool_input={'place': 'shelf'}, log=\"\\nInvoking: `get_items` with `{'place': 'shelf'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]})], tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh'), \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\")], 'agent_scratchpad': [AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}), ToolMessage(content='on the shelf', data={'name': 'where_cat_is_hiding'}, tool_call_id='call_pboyZTT0587rJtujUluO2OOc'), AIMessageChunk(content='', data={'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}), ToolMessage(content=\"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", data={'name': 'get_items'}, tool_call_id='call_vIVtgUb9Gvmc3zAGIrshnmbh')]}\n",
|
||||
"On chain end\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'additional_kwargs': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'additional_kwargs': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc', 'content': 'on the shelf', 'additional_kwargs': {'name': 'where_cat_is_hiding'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'content': \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", 'additional_kwargs': {'name': 'get_items'}}}]}}\n",
|
||||
"{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptValue'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'SystemMessage'], 'kwargs': {'content': 'You are a helpful assistant', 'data': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'HumanMessage'], 'kwargs': {'content': 'where is the cat hiding and what items can be found there?', 'data': {}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'data': {'tool_calls': [{'index': 0, 'id': 'call_pboyZTT0587rJtujUluO2OOc', 'function': {'arguments': '{}', 'name': 'where_cat_is_hiding'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_pboyZTT0587rJtujUluO2OOc', 'content': 'on the shelf', 'data': {'name': 'where_cat_is_hiding'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessageChunk'], 'kwargs': {'example': False, 'content': '', 'data': {'tool_calls': [{'index': 0, 'id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'function': {'arguments': '{\\n \"place\": \"shelf\"\\n}', 'name': 'get_items'}, 'type': 'function'}]}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'ToolMessage'], 'kwargs': {'tool_call_id': 'call_vIVtgUb9Gvmc3zAGIrshnmbh', 'content': \"In a shelf, you might find:\\n\\n1. Books: A shelf is commonly used to store books. Books can be of various genres, such as novels, textbooks, or reference books. They provide knowledge, entertainment, and can transport you to different worlds through storytelling.\\n\\n2. Decorative items: Shelves often serve as a display area for decorative items like figurines, vases, or sculptures. These items add aesthetic value to the space and reflect the owner's personal taste and style.\\n\\n3. Storage boxes: Shelves can also be used to store various items in organized boxes. These boxes can hold anything from office supplies, craft materials, or sentimental items. They help keep the space tidy and provide easy access to stored belongings.\", 'data': {'name': 'get_items'}}}]}}\n",
|
||||
"agent_llm: The| cat| is| hiding| on| the| shelf|.| In| the| shelf|,| you| might| find| books|,| decorative| items|,| and| storage| boxes|.|\n",
|
||||
"\n",
|
||||
"on chain start: \n",
|
||||
|
||||
@@ -103,7 +103,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}})"
|
||||
"AIMessage(content='', data={'function_call': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}})"
|
||||
]
|
||||
},
|
||||
"execution_count": 16,
|
||||
@@ -134,7 +134,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"message.additional_kwargs[\"function_call\"]"
|
||||
"message.data[\"function_call\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -154,7 +154,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}})"
|
||||
"AIMessage(content='', data={'function_call': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}})"
|
||||
]
|
||||
},
|
||||
"execution_count": 17,
|
||||
@@ -184,7 +184,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_btkY3xV71cEVAOHnNa5qwo44', 'function': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'id': 'call_btkY3xV71cEVAOHnNa5qwo44', 'function': {'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}', 'name': 'move_file'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
|
||||
@@ -49,7 +49,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"LLMResult(generations=[[ChatGeneration(text=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", generation_info=None, message=AIMessage(content=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", additional_kwargs={}, example=False))]], llm_output={'token_usage': {}, 'model_name': 'gpt-3.5-turbo'})"
|
||||
"LLMResult(generations=[[ChatGeneration(text=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", generation_info=None, message=AIMessage(content=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", data={}, example=False))]], llm_output={'token_usage': {}, 'model_name': 'gpt-3.5-turbo'})"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
|
||||
@@ -43,7 +43,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=\"Why don't scientists trust atoms? \\n\\nBecause they make up everything.\", data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
|
||||
@@ -30,8 +30,8 @@ history.messages
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
[HumanMessage(content='hi!', additional_kwargs={}),
|
||||
AIMessage(content='whats up?', additional_kwargs={})]
|
||||
[HumanMessage(content='hi!', data={}),
|
||||
AIMessage(content='whats up?', data={})]
|
||||
```
|
||||
|
||||
</CodeOutputBlock>
|
||||
|
||||
@@ -140,8 +140,8 @@ memory.chat_memory.add_ai_message("what's up?")
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
{'history': [HumanMessage(content='hi!', additional_kwargs={}, example=False),
|
||||
AIMessage(content='what's up?', additional_kwargs={}, example=False)]}
|
||||
{'history': [HumanMessage(content='hi!', data={}, example=False),
|
||||
AIMessage(content='what's up?', data={}, example=False)]}
|
||||
```
|
||||
|
||||
</CodeOutputBlock>
|
||||
|
||||
@@ -43,8 +43,8 @@ memory.load_memory_variables({})
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
{'history': [HumanMessage(content='hi', additional_kwargs={}),
|
||||
AIMessage(content='whats up', additional_kwargs={})]}
|
||||
{'history': [HumanMessage(content='hi', data={}),
|
||||
AIMessage(content='whats up', data={})]}
|
||||
```
|
||||
|
||||
</CodeOutputBlock>
|
||||
|
||||
@@ -45,8 +45,8 @@ memory.load_memory_variables({})
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
{'history': [HumanMessage(content='not much you', additional_kwargs={}),
|
||||
AIMessage(content='not much', additional_kwargs={})]}
|
||||
{'history': [HumanMessage(content='not much you', data={}),
|
||||
AIMessage(content='not much', data={})]}
|
||||
```
|
||||
|
||||
</CodeOutputBlock>
|
||||
|
||||
@@ -54,8 +54,8 @@ memory.load_memory_variables({"input": 'who is Sam'})
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
{'history': [HumanMessage(content='Deven & Sam are working on a hackathon project', additional_kwargs={}),
|
||||
AIMessage(content=' That sounds like a great project! What kind of project are they working on?', additional_kwargs={})],
|
||||
{'history': [HumanMessage(content='Deven & Sam are working on a hackathon project', data={}),
|
||||
AIMessage(content=' That sounds like a great project! What kind of project are they working on?', data={})],
|
||||
'entities': {'Sam': 'Sam is working on a hackathon project with Deven.'}}
|
||||
```
|
||||
|
||||
|
||||
@@ -92,7 +92,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'history': [SystemMessage(content='On Sam: Sam is friend.', additional_kwargs={})]}"
|
||||
"{'history': [SystemMessage(content='On Sam: Sam is friend.', data={})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
|
||||
@@ -44,7 +44,7 @@ memory.load_memory_variables({})
|
||||
<CodeOutputBlock lang="python">
|
||||
|
||||
```
|
||||
{'history': [SystemMessage(content='\nThe human greets the AI, to which the AI responds.', additional_kwargs={})]}
|
||||
{'history': [SystemMessage(content='\nThe human greets the AI, to which the AI responds.', data={})]}
|
||||
```
|
||||
|
||||
</CodeOutputBlock>
|
||||
|
||||
@@ -96,7 +96,7 @@ llm_with_tools.invoke("what's 3 * 12")
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_Q8ZQ97Qrj5zalugSkYMGV1Uo', 'function': {'arguments': '{"a":3,"b":12}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'call_Q8ZQ97Qrj5zalugSkYMGV1Uo', 'function': {'arguments': '{"a":3,"b":12}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
```
|
||||
|
||||
We can add a tool parser to extract the tool calls from the generated
|
||||
@@ -137,7 +137,7 @@ llm_with_multiply.invoke(
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_f3DApOzb60iYjTfOhVFhDRMI', 'function': {'arguments': '{"a":5,"b":10}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'call_f3DApOzb60iYjTfOhVFhDRMI', 'function': {'arguments': '{"a":5,"b":10}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
```
|
||||
|
||||
For more see the [ChatOpenAI API
|
||||
@@ -183,7 +183,7 @@ llm_with_tools.invoke("what's 3 * 12")
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_qIP2bJugb67LGvc6Zhwkvfqc', 'type': 'function', 'function': {'name': 'Multiply', 'arguments': '{"a": 3, "b": 12}'}}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'index': 0, 'id': 'call_qIP2bJugb67LGvc6Zhwkvfqc', 'type': 'function', 'function': {'name': 'Multiply', 'arguments': '{"a": 3, "b": 12}'}}]})
|
||||
```
|
||||
|
||||
We can add a tool parser to extract the tool calls from the generated
|
||||
@@ -242,7 +242,7 @@ llm_with_tools.invoke("what's 3 * 12")
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'null', 'type': <ToolType.function: 'function'>, 'function': {'name': 'Multiply', 'arguments': '{"a": 3, "b": 12}'}}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'null', 'type': <ToolType.function: 'function'>, 'function': {'name': 'Multiply', 'arguments': '{"a": 3, "b": 12}'}}]})
|
||||
```
|
||||
|
||||
We can add a tool parser to extract the tool calls from the generated
|
||||
@@ -280,7 +280,7 @@ llm_with_tools.invoke("I don't even want you to use the tool")
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'null', 'type': <ToolType.function: 'function'>, 'function': {'name': 'Multiply', 'arguments': '{"a": 5, "b": 7}'}}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'null', 'type': <ToolType.function: 'function'>, 'function': {'name': 'Multiply', 'arguments': '{"a": 5, "b": 7}'}}]})
|
||||
```
|
||||
|
||||
For more see the [ChatMistralAI API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html#langchain_mistralai.chat_models.ChatMistralAI).
|
||||
@@ -319,7 +319,7 @@ llm_with_tools.invoke("what's 3 * 12")
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_4tc61dp0478zafqe33hfriee', 'function': {'arguments': '{"a":3,"b":12}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'call_4tc61dp0478zafqe33hfriee', 'function': {'arguments': '{"a":3,"b":12}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
```
|
||||
|
||||
We can add a tool parser to extract the tool calls from the generated
|
||||
@@ -360,7 +360,7 @@ llm_with_multiply.invoke(
|
||||
```
|
||||
|
||||
``` text
|
||||
AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_6k6d0gr3jhqil2kqf7sgeusl', 'function': {'arguments': '{"a":5,"b":7}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
AIMessage(content='', data={'tool_calls': [{'id': 'call_6k6d0gr3jhqil2kqf7sgeusl', 'function': {'arguments': '{"a":5,"b":7}', 'name': 'Multiply'}, 'type': 'function'}]})
|
||||
```
|
||||
|
||||
For more see the [ChatOpenAI API
|
||||
|
||||
@@ -34,7 +34,7 @@ ChatModels take a list of messages as input and return a message. There are a fe
|
||||
- A string (most models are this way)
|
||||
- A List of dictionaries (this is used for multi-modal input, where the dictionary contains information about that input type and that input location)
|
||||
|
||||
In addition, messages have an `additional_kwargs` property. This is where additional information about messages can be passed. This is largely used for input parameters that are *provider specific* and not general. The best known example of this is `function_call` from OpenAI.
|
||||
In addition, messages have an `data` property. This is where additional information about messages can be passed. This is largely used for input parameters that are *provider specific* and not general. The best known example of this is `function_call` from OpenAI.
|
||||
|
||||
### HumanMessage
|
||||
|
||||
@@ -43,7 +43,7 @@ This represents a message from the user. Generally consists only of content.
|
||||
|
||||
### AIMessage
|
||||
|
||||
This represents a message from the model. This may have `additional_kwargs` in it - for example `functional_call` if using OpenAI Function calling.
|
||||
This represents a message from the model. This may have `data` in it - for example `functional_call` if using OpenAI Function calling.
|
||||
|
||||
|
||||
### SystemMessage
|
||||
@@ -96,7 +96,7 @@ This is an example of a prompt template. This consists of a list of MessagePromp
|
||||
|
||||
## Output Parsers
|
||||
|
||||
The output of models are either strings or a message. Oftentimes, the string or messages contains information formatted in a specific format to be used downstream (e.g. a comma separated list, or JSON blob). Output parsers are responsible for taking in the output of a model and transforming it into a more usable form. These generally work on the `content` of the output message, but occasionally work on values in the `additional_kwargs` field.
|
||||
The output of models are either strings or a message. Oftentimes, the string or messages contains information formatted in a specific format to be used downstream (e.g. a comma separated list, or JSON blob). Output parsers are responsible for taking in the output of a model and transforming it into a more usable form. These generally work on the `content` of the output message, but occasionally work on values in the `data` field.
|
||||
|
||||
### StrOutputParser
|
||||
|
||||
@@ -104,7 +104,7 @@ This is a simple output parser that just converts the output of a language model
|
||||
|
||||
### OpenAI Functions Parsers
|
||||
|
||||
There are a few parsers dedicated to working with OpenAI function calling. They take the output of the `function_call` and `arguments` parameters (which are inside `additional_kwargs`) and work with those, largely ignoring content.
|
||||
There are a few parsers dedicated to working with OpenAI function calling. They take the output of the `function_call` and `arguments` parameters (which are inside `data`) and work with those, largely ignoring content.
|
||||
|
||||
### Agent Output Parsers
|
||||
|
||||
|
||||
@@ -228,10 +228,10 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[SystemMessage(content='You are a nice pirate', additional_kwargs={}),\n",
|
||||
" HumanMessage(content='hi', additional_kwargs={}, example=False),\n",
|
||||
" AIMessage(content='what?', additional_kwargs={}, example=False),\n",
|
||||
" HumanMessage(content='i said hi', additional_kwargs={}, example=False)]"
|
||||
"[SystemMessage(content='You are a nice pirate', data={}),\n",
|
||||
" HumanMessage(content='hi', data={}, example=False),\n",
|
||||
" AIMessage(content='what?', data={}, example=False),\n",
|
||||
" HumanMessage(content='i said hi', data={}, example=False)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
|
||||
@@ -151,7 +151,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' Triangles do not have a \"square\". A square refers to a shape with 4 equal sides and 4 right angles. Triangles have 3 sides and 3 angles.\\n\\nThe area of a triangle can be calculated using the formula:\\n\\nA = 1/2 * b * h\\n\\nWhere:\\n\\nA is the area \\nb is the base (the length of one of the sides)\\nh is the height (the length from the base to the opposite vertex)\\n\\nSo the area depends on the specific dimensions of the triangle. There is no single \"square of a triangle\". The area can vary greatly depending on the base and height measurements.', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' Triangles do not have a \"square\". A square refers to a shape with 4 equal sides and 4 right angles. Triangles have 3 sides and 3 angles.\\n\\nThe area of a triangle can be calculated using the formula:\\n\\nA = 1/2 * b * h\\n\\nWhere:\\n\\nA is the area \\nb is the base (the length of one of the sides)\\nh is the height (the length from the base to the opposite vertex)\\n\\nSo the area depends on the specific dimensions of the triangle. There is no single \"square of a triangle\". The area can vary greatly depending on the base and height measurements.', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
@@ -408,7 +408,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content=' 3 + 3 = 6', additional_kwargs={}, example=False)"
|
||||
"AIMessage(content=' 3 + 3 = 6', data={}, example=False)"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
|
||||
@@ -199,7 +199,7 @@ chat_prompt.format_messages(input_language="English", output_language="French",
|
||||
|
||||
```pycon
|
||||
[
|
||||
SystemMessage(content="You are a helpful assistant that translates English to French.", additional_kwargs={}),
|
||||
SystemMessage(content="You are a helpful assistant that translates English to French.", data={}),
|
||||
HumanMessage(content="I love programming.")
|
||||
]
|
||||
```
|
||||
|
||||
@@ -375,7 +375,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_6TZsNaCqOcbP7lqWudosQTd6', 'function': {'arguments': '{\\n \"query\": \"df[[\\'Age\\', \\'Fare\\']].corr()\"\\n}', 'name': 'python_repl_ast'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'id': 'call_6TZsNaCqOcbP7lqWudosQTd6', 'function': {'arguments': '{\\n \"query\": \"df[[\\'Age\\', \\'Fare\\']].corr()\"\\n}', 'name': 'python_repl_ast'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
@@ -546,7 +546,7 @@
|
||||
"def _get_chat_history(x: dict) -> list:\n",
|
||||
" \"\"\"Parse the chain output up to this point into a list of chat history messages to insert in the prompt.\"\"\"\n",
|
||||
" ai_msg = x[\"ai_msg\"]\n",
|
||||
" tool_call_id = x[\"ai_msg\"].additional_kwargs[\"tool_calls\"][0][\"id\"]\n",
|
||||
" tool_call_id = x[\"ai_msg\"].data[\"tool_calls\"][0][\"id\"]\n",
|
||||
" tool_msg = ToolMessage(tool_call_id=tool_call_id, content=str(x[\"tool_output\"]))\n",
|
||||
" return [ai_msg, tool_msg]\n",
|
||||
"\n",
|
||||
|
||||
@@ -219,9 +219,7 @@
|
||||
" },\n",
|
||||
" }\n",
|
||||
" )\n",
|
||||
" messages.append(\n",
|
||||
" AIMessage(content=\"\", additional_kwargs={\"tool_calls\": openai_tool_calls})\n",
|
||||
" )\n",
|
||||
" messages.append(AIMessage(content=\"\", data={\"tool_calls\": openai_tool_calls}))\n",
|
||||
" tool_outputs = example.get(\"tool_outputs\") or [\n",
|
||||
" \"You have correctly called this tool.\"\n",
|
||||
" ] * len(openai_tool_calls)\n",
|
||||
@@ -282,7 +280,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"ChatPromptValue(messages=[SystemMessage(content=\"You are an expert extraction algorithm. Only extract relevant information from the text. If you do not know the value of an attribute asked to extract, return null for the attribute's value.\"), HumanMessage(content=\"The ocean is vast and blue. It's more than 20,000 feet deep. There are many fish in it.\"), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'c75e57cc-8212-4959-81e9-9477b0b79126', 'type': 'function', 'function': {'name': 'Person', 'arguments': '{\"name\": null, \"hair_color\": null, \"height_in_meters\": null}'}}]}), ToolMessage(content='You have correctly called this tool.', tool_call_id='c75e57cc-8212-4959-81e9-9477b0b79126'), HumanMessage(content='Fiona traveled far from France to Spain.'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': '69da50b5-e427-44be-b396-1e56d821c6b0', 'type': 'function', 'function': {'name': 'Person', 'arguments': '{\"name\": \"Fiona\", \"hair_color\": null, \"height_in_meters\": null}'}}]}), ToolMessage(content='You have correctly called this tool.', tool_call_id='69da50b5-e427-44be-b396-1e56d821c6b0'), HumanMessage(content='this is some text')])"
|
||||
"ChatPromptValue(messages=[SystemMessage(content=\"You are an expert extraction algorithm. Only extract relevant information from the text. If you do not know the value of an attribute asked to extract, return null for the attribute's value.\"), HumanMessage(content=\"The ocean is vast and blue. It's more than 20,000 feet deep. There are many fish in it.\"), AIMessage(content='', data={'tool_calls': [{'id': 'c75e57cc-8212-4959-81e9-9477b0b79126', 'type': 'function', 'function': {'name': 'Person', 'arguments': '{\"name\": null, \"hair_color\": null, \"height_in_meters\": null}'}}]}), ToolMessage(content='You have correctly called this tool.', tool_call_id='c75e57cc-8212-4959-81e9-9477b0b79126'), HumanMessage(content='Fiona traveled far from France to Spain.'), AIMessage(content='', data={'tool_calls': [{'id': '69da50b5-e427-44be-b396-1e56d821c6b0', 'type': 'function', 'function': {'name': 'Person', 'arguments': '{\"name\": \"Fiona\", \"hair_color\": null, \"height_in_meters\": null}'}}]}), ToolMessage(content='You have correctly called this tool.', tool_call_id='69da50b5-e427-44be-b396-1e56d821c6b0'), HumanMessage(content='this is some text')])"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
|
||||
@@ -297,9 +297,7 @@
|
||||
" },\n",
|
||||
" }\n",
|
||||
" )\n",
|
||||
" messages.append(\n",
|
||||
" AIMessage(content=\"\", additional_kwargs={\"tool_calls\": openai_tool_calls})\n",
|
||||
" )\n",
|
||||
" messages.append(AIMessage(content=\"\", data={\"tool_calls\": openai_tool_calls}))\n",
|
||||
" tool_outputs = example.get(\"tool_outputs\") or [\n",
|
||||
" \"You have correctly called this tool.\"\n",
|
||||
" ] * len(openai_tool_calls)\n",
|
||||
|
||||
@@ -171,7 +171,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_ZnoVX4j9Mn8wgChaORyd1cvq', 'function': {'arguments': '{\"query\":\"Harrison\"}', 'name': 'Search'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'id': 'call_ZnoVX4j9Mn8wgChaORyd1cvq', 'function': {'arguments': '{\"query\":\"Harrison\"}', 'name': 'Search'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
@@ -237,7 +237,7 @@
|
||||
"@chain\n",
|
||||
"def custom_chain(question):\n",
|
||||
" response = query_analyzer.invoke(question)\n",
|
||||
" if \"tool_calls\" in response.additional_kwargs:\n",
|
||||
" if \"tool_calls\" in response.data:\n",
|
||||
" query = output_parser.invoke(response)\n",
|
||||
" docs = retriever.invoke(query[0].query)\n",
|
||||
" # Could add more logic - like another LLM call - here\n",
|
||||
|
||||
@@ -337,9 +337,7 @@
|
||||
" },\n",
|
||||
" }\n",
|
||||
" )\n",
|
||||
" messages.append(\n",
|
||||
" AIMessage(content=\"\", additional_kwargs={\"tool_calls\": openai_tool_calls})\n",
|
||||
" )\n",
|
||||
" messages.append(AIMessage(content=\"\", data={\"tool_calls\": openai_tool_calls}))\n",
|
||||
" tool_outputs = example.get(\"tool_outputs\") or [\n",
|
||||
" \"This is an example of a correct usage of this tool. Make sure to continue using the tool this way.\"\n",
|
||||
" ] * len(openai_tool_calls)\n",
|
||||
|
||||
@@ -227,7 +227,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_0VO8uyUo16jzq86FQDoka2zQ', 'function': {'arguments': '{\\n \"answer\": \"Brian\\'s height is 6\\'2\\\\\" - 3 inches\",\\n \"citations\": [1, 3]\\n}', 'name': 'cited_answer'}, 'type': 'function'}]})"
|
||||
"AIMessage(content='', data={'tool_calls': [{'id': 'call_0VO8uyUo16jzq86FQDoka2zQ', 'function': {'arguments': '{\\n \"answer\": \"Brian\\'s height is 6\\'2\\\\\" - 3 inches\",\\n \"citations\": [1, 3]\\n}', 'name': 'cited_answer'}, 'type': 'function'}]})"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
|
||||
@@ -581,7 +581,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"ChatPromptTemplate(input_variables=['question', 'context'], output_parser=None, partial_variables={}, messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['question', 'context'], output_parser=None, partial_variables={}, template=\"[INST]<<SYS>> You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.<</SYS>> \\nQuestion: {question} \\nContext: {context} \\nAnswer: [/INST]\", template_format='f-string', validate_template=True), additional_kwargs={})])"
|
||||
"ChatPromptTemplate(input_variables=['question', 'context'], output_parser=None, partial_variables={}, messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['question', 'context'], output_parser=None, partial_variables={}, template=\"[INST]<<SYS>> You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.<</SYS>> \\nQuestion: {question} \\nContext: {context} \\nAnswer: [/INST]\", template_format='f-string', validate_template=True), data={})])"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
|
||||
@@ -335,7 +335,7 @@
|
||||
"\n",
|
||||
" # Add historical messages to the original input, so the model knows that it made a mistake with the last tool call.\n",
|
||||
" messages = [\n",
|
||||
" AIMessage(content=\"\", additional_kwargs={\"tool_calls\": [tool_call]}),\n",
|
||||
" AIMessage(content=\"\", data={\"tool_calls\": [tool_call]}),\n",
|
||||
" ToolMessage(tool_call_id=tool_call[\"id\"], content=str(exception.exception)),\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"The last tool calls raised exceptions. Try calling the tools again with corrected arguments.\"\n",
|
||||
|
||||
@@ -86,24 +86,24 @@ def convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
|
||||
# Fix for azure
|
||||
# Also OpenAI returns None for tool invocations
|
||||
content = _dict.get("content", "") or ""
|
||||
additional_kwargs: Dict = {}
|
||||
data: Dict = {}
|
||||
if function_call := _dict.get("function_call"):
|
||||
additional_kwargs["function_call"] = dict(function_call)
|
||||
data["function_call"] = dict(function_call)
|
||||
if tool_calls := _dict.get("tool_calls"):
|
||||
additional_kwargs["tool_calls"] = tool_calls
|
||||
return AIMessage(content=content, additional_kwargs=additional_kwargs)
|
||||
data["tool_calls"] = tool_calls
|
||||
return AIMessage(content=content, data=data)
|
||||
elif role == "system":
|
||||
return SystemMessage(content=_dict.get("content", ""))
|
||||
elif role == "function":
|
||||
return FunctionMessage(content=_dict.get("content", ""), name=_dict.get("name"))
|
||||
elif role == "tool":
|
||||
additional_kwargs = {}
|
||||
data = {}
|
||||
if "name" in _dict:
|
||||
additional_kwargs["name"] = _dict["name"]
|
||||
data["name"] = _dict["name"]
|
||||
return ToolMessage(
|
||||
content=_dict.get("content", ""),
|
||||
tool_call_id=_dict.get("tool_call_id"),
|
||||
additional_kwargs=additional_kwargs,
|
||||
data=data,
|
||||
)
|
||||
else:
|
||||
return ChatMessage(content=_dict.get("content", ""), role=role)
|
||||
@@ -125,13 +125,13 @@ def convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
message_dict = {"role": "user", "content": message.content}
|
||||
elif isinstance(message, AIMessage):
|
||||
message_dict = {"role": "assistant", "content": message.content}
|
||||
if "function_call" in message.additional_kwargs:
|
||||
message_dict["function_call"] = message.additional_kwargs["function_call"]
|
||||
if "function_call" in message.data:
|
||||
message_dict["function_call"] = message.data["function_call"]
|
||||
# If function call only, content is None not empty string
|
||||
if message_dict["content"] == "":
|
||||
message_dict["content"] = None
|
||||
if "tool_calls" in message.additional_kwargs:
|
||||
message_dict["tool_calls"] = message.additional_kwargs["tool_calls"]
|
||||
if "tool_calls" in message.data:
|
||||
message_dict["tool_calls"] = message.data["tool_calls"]
|
||||
# If tool calls only, content is None not empty string
|
||||
if message_dict["content"] == "":
|
||||
message_dict["content"] = None
|
||||
@@ -151,8 +151,8 @@ def convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise TypeError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
|
||||
@@ -174,8 +174,8 @@ def _convert_message_chunk(chunk: BaseMessageChunk, i: int) -> dict:
|
||||
if i == 0:
|
||||
# Only shows up in the first chunk
|
||||
_dict["role"] = "assistant"
|
||||
if "function_call" in chunk.additional_kwargs:
|
||||
_dict["function_call"] = chunk.additional_kwargs["function_call"]
|
||||
if "function_call" in chunk.data:
|
||||
_dict["function_call"] = chunk.data["function_call"]
|
||||
# If the first chunk is a function call, the content is not empty string,
|
||||
# not missing, but None.
|
||||
if i == 0:
|
||||
|
||||
@@ -168,9 +168,9 @@ def _parse_lc_message(message: BaseMessage) -> Dict[str, Any]:
|
||||
parsed = {"text": message.content, "role": _parse_lc_role(message.type)}
|
||||
parsed.update(
|
||||
{
|
||||
key: cast(Any, message.additional_kwargs.get(key))
|
||||
key: cast(Any, message.data.get(key))
|
||||
for key in keys
|
||||
if message.additional_kwargs.get(key) is not None
|
||||
if message.data.get(key) is not None
|
||||
}
|
||||
)
|
||||
return parsed
|
||||
|
||||
@@ -150,8 +150,8 @@ class PromptLayerCallbackHandler(BaseCallbackHandler):
|
||||
message_dict = {"role": message.role, "content": message.content}
|
||||
else:
|
||||
raise ValueError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
def _create_message_dicts(
|
||||
|
||||
@@ -22,8 +22,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
message_dict = {"role": "user", "content": message.content}
|
||||
elif isinstance(message, AIMessage):
|
||||
message_dict = {"role": "assistant", "content": message.content}
|
||||
if "function_call" in message.additional_kwargs:
|
||||
message_dict["function_call"] = message.additional_kwargs["function_call"]
|
||||
if "function_call" in message.data:
|
||||
message_dict["function_call"] = message.data["function_call"]
|
||||
# If function call only, content is None not empty string
|
||||
if message_dict["content"] == "":
|
||||
message_dict["content"] = None
|
||||
@@ -37,8 +37,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise TypeError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
|
||||
|
||||
@@ -45,9 +45,7 @@ class SingleFileFacebookMessengerChatLoader(BaseChatLoader):
|
||||
)
|
||||
continue
|
||||
messages.append(
|
||||
HumanMessage(
|
||||
content=m["content"], additional_kwargs={"sender": m["sender_name"]}
|
||||
)
|
||||
HumanMessage(content=m["content"], data={"sender": m["sender_name"]})
|
||||
)
|
||||
yield ChatSession(messages=messages)
|
||||
|
||||
|
||||
@@ -25,9 +25,7 @@ def _extract_email_content(msg: Any) -> HumanMessage:
|
||||
pattern = re.compile(r"\r\nOn .+(\r\n)*wrote:\r\n")
|
||||
# Split the email body and extract the first part
|
||||
newest_response = re.split(pattern, data)[0]
|
||||
message = HumanMessage(
|
||||
content=newest_response, additional_kwargs={"sender": from_email}
|
||||
)
|
||||
message = HumanMessage(content=newest_response, data={"sender": from_email})
|
||||
return message
|
||||
raise ValueError
|
||||
|
||||
|
||||
@@ -152,7 +152,7 @@ class IMessageChatLoader(BaseChatLoader):
|
||||
HumanMessage(
|
||||
role=sender,
|
||||
content=content,
|
||||
additional_kwargs={
|
||||
data={
|
||||
"message_time": date,
|
||||
"message_time_as_datetime": nanoseconds_from_2001_to_datetime(
|
||||
date
|
||||
|
||||
@@ -47,15 +47,13 @@ class SlackChatLoader(BaseChatLoader):
|
||||
continue
|
||||
if sender == previous_sender:
|
||||
results[-1].content += "\n\n" + text
|
||||
results[-1].additional_kwargs["events"].append(
|
||||
{"message_time": timestamp}
|
||||
)
|
||||
results[-1].data["events"].append({"message_time": timestamp})
|
||||
else:
|
||||
results.append(
|
||||
HumanMessage(
|
||||
role=sender,
|
||||
content=text,
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": sender,
|
||||
"events": [{"message_time": timestamp}],
|
||||
},
|
||||
|
||||
@@ -73,7 +73,7 @@ class TelegramChatLoader(BaseChatLoader):
|
||||
results.append(
|
||||
HumanMessage(
|
||||
content=text,
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": from_name,
|
||||
"events": [{"message_time": timestamp}],
|
||||
},
|
||||
@@ -105,7 +105,7 @@ class TelegramChatLoader(BaseChatLoader):
|
||||
results.append(
|
||||
HumanMessage(
|
||||
content=text,
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": from_name,
|
||||
"events": [{"message_time": timestamp}],
|
||||
},
|
||||
|
||||
@@ -30,9 +30,8 @@ def merge_chat_runs_in_session(
|
||||
messages.append(deepcopy(message))
|
||||
elif (
|
||||
isinstance(message, type(messages[-1]))
|
||||
and messages[-1].additional_kwargs.get("sender") is not None
|
||||
and messages[-1].additional_kwargs["sender"]
|
||||
== message.additional_kwargs.get("sender")
|
||||
and messages[-1].data.get("sender") is not None
|
||||
and messages[-1].data["sender"] == message.data.get("sender")
|
||||
):
|
||||
if not isinstance(messages[-1].content, str):
|
||||
raise ValueError(
|
||||
@@ -42,9 +41,7 @@ def merge_chat_runs_in_session(
|
||||
messages[-1].content = (
|
||||
messages[-1].content + delimiter + message.content
|
||||
).strip()
|
||||
messages[-1].additional_kwargs.get("events", []).extend(
|
||||
message.additional_kwargs.get("events") or []
|
||||
)
|
||||
messages[-1].data.get("events", []).extend(message.data.get("events") or [])
|
||||
else:
|
||||
messages.append(deepcopy(message))
|
||||
return ChatSession(messages=messages)
|
||||
@@ -73,10 +70,10 @@ def map_ai_messages_in_session(chat_sessions: ChatSession, sender: str) -> ChatS
|
||||
messages = []
|
||||
num_converted = 0
|
||||
for message in chat_sessions["messages"]:
|
||||
if message.additional_kwargs.get("sender") == sender:
|
||||
if message.data.get("sender") == sender:
|
||||
message = AIMessage(
|
||||
content=message.content,
|
||||
additional_kwargs=message.additional_kwargs.copy(),
|
||||
data=message.data.copy(),
|
||||
example=getattr(message, "example", None),
|
||||
)
|
||||
num_converted += 1
|
||||
|
||||
@@ -77,7 +77,7 @@ class WhatsAppChatLoader(BaseChatLoader):
|
||||
HumanMessage(
|
||||
role=sender,
|
||||
content=text,
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": sender,
|
||||
"events": [{"message_time": timestamp}],
|
||||
},
|
||||
|
||||
@@ -124,7 +124,7 @@ class RocksetChatMessageHistory(BaseChatMessageHistory):
|
||||
FROM {self.location}
|
||||
WHERE _id = :session_id
|
||||
)) AS message
|
||||
WHERE message.data.additional_kwargs.id = :message_id
|
||||
WHERE message.data.data.id = :message_id
|
||||
LIMIT 1
|
||||
""",
|
||||
session_id=self.session_id,
|
||||
@@ -172,7 +172,7 @@ class RocksetChatMessageHistory(BaseChatMessageHistory):
|
||||
down performance.
|
||||
- message_uuid_method: The method that generates message IDs.
|
||||
If set, all messages will have an `id` field within the
|
||||
`additional_kwargs` property. If this param is not set
|
||||
`data` property. If this param is not set
|
||||
and `sync` is `False`, message IDs will not be created.
|
||||
If this param is not set and `sync` is `True`, the
|
||||
`uuid.uuid4` method will be used to create message IDs.
|
||||
@@ -237,8 +237,8 @@ class RocksetChatMessageHistory(BaseChatMessageHistory):
|
||||
Args:
|
||||
message: A BaseMessage object to store.
|
||||
"""
|
||||
if self.sync and "id" not in message.additional_kwargs:
|
||||
message.additional_kwargs["id"] = self.message_uuid_method()
|
||||
if self.sync and "id" not in message.data:
|
||||
message.data["id"] = self.message_uuid_method()
|
||||
self.client.Documents.patch_documents(
|
||||
collection=self.collection,
|
||||
workspace=self.workspace,
|
||||
@@ -256,7 +256,7 @@ class RocksetChatMessageHistory(BaseChatMessageHistory):
|
||||
],
|
||||
)
|
||||
if self.sync:
|
||||
self._wait_until_message_added(message.additional_kwargs["id"])
|
||||
self._wait_until_message_added(message.data["id"])
|
||||
|
||||
def clear(self) -> None:
|
||||
"""Removes all messages from the chat history"""
|
||||
|
||||
@@ -74,7 +74,7 @@ class XataChatMessageHistory(BaseChatMessageHistory):
|
||||
"sessionId": self._session_id,
|
||||
"type": msg["type"],
|
||||
"content": message.content,
|
||||
"additionalKwargs": json.dumps(message.additional_kwargs),
|
||||
"additionalKwargs": json.dumps(message.data),
|
||||
"role": msg["data"].get("role"),
|
||||
"name": msg["data"].get("name"),
|
||||
},
|
||||
@@ -103,7 +103,7 @@ class XataChatMessageHistory(BaseChatMessageHistory):
|
||||
"content": m["content"],
|
||||
"role": m.get("role"),
|
||||
"name": m.get("name"),
|
||||
"additional_kwargs": json.loads(m["additionalKwargs"]),
|
||||
"data": json.loads(m["additionalKwargs"]),
|
||||
},
|
||||
}
|
||||
for m in r["records"]
|
||||
|
||||
@@ -108,13 +108,9 @@ class ZepChatMessageHistory(BaseChatMessageHistory):
|
||||
"metadata": msg.metadata,
|
||||
}
|
||||
if msg.role == "ai":
|
||||
messages.append(
|
||||
AIMessage(content=msg.content, additional_kwargs=metadata)
|
||||
)
|
||||
messages.append(AIMessage(content=msg.content, data=metadata))
|
||||
else:
|
||||
messages.append(
|
||||
HumanMessage(content=msg.content, additional_kwargs=metadata)
|
||||
)
|
||||
messages.append(HumanMessage(content=msg.content, data=metadata))
|
||||
|
||||
return messages
|
||||
|
||||
|
||||
@@ -31,8 +31,8 @@ def convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
message_dict = {"role": "user", "content": message.content}
|
||||
elif isinstance(message, AIMessage):
|
||||
message_dict = {"role": "assistant", "content": message.content}
|
||||
if "function_call" in message.additional_kwargs:
|
||||
message_dict["function_call"] = message.additional_kwargs["function_call"]
|
||||
if "function_call" in message.data:
|
||||
message_dict["function_call"] = message.data["function_call"]
|
||||
# If function call only, content is None not empty string
|
||||
if message_dict["content"] == "":
|
||||
message_dict["content"] = None
|
||||
@@ -51,15 +51,15 @@ def convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
def _convert_dict_to_message(_dict: Mapping[str, Any]) -> AIMessage:
|
||||
content = _dict.get("result", "") or ""
|
||||
if _dict.get("function_call"):
|
||||
additional_kwargs = {"function_call": dict(_dict["function_call"])}
|
||||
if "thoughts" in additional_kwargs["function_call"]:
|
||||
data = {"function_call": dict(_dict["function_call"])}
|
||||
if "thoughts" in data["function_call"]:
|
||||
# align to api sample, which affects the llm function_call output
|
||||
additional_kwargs["function_call"].pop("thoughts")
|
||||
data["function_call"].pop("thoughts")
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
data = {}
|
||||
return AIMessage(
|
||||
content=content,
|
||||
additional_kwargs={**_dict.get("body", {}), **additional_kwargs},
|
||||
data={**_dict.get("body", {}), **data},
|
||||
)
|
||||
|
||||
|
||||
@@ -251,7 +251,7 @@ class QianfanChatEndpoint(BaseChatModel):
|
||||
else chat_generation_info
|
||||
)
|
||||
completion += chunk.text
|
||||
lc_msg = AIMessage(content=completion, additional_kwargs={})
|
||||
lc_msg = AIMessage(content=completion, data={})
|
||||
gen = ChatGeneration(
|
||||
message=lc_msg,
|
||||
generation_info=dict(finish_reason="stop"),
|
||||
@@ -296,7 +296,7 @@ class QianfanChatEndpoint(BaseChatModel):
|
||||
)
|
||||
completion += chunk.text
|
||||
|
||||
lc_msg = AIMessage(content=completion, additional_kwargs={})
|
||||
lc_msg = AIMessage(content=completion, data={})
|
||||
gen = ChatGeneration(
|
||||
message=lc_msg,
|
||||
generation_info=dict(finish_reason="stop"),
|
||||
@@ -336,15 +336,15 @@ class QianfanChatEndpoint(BaseChatModel):
|
||||
for res in self.client.do(**params):
|
||||
if res:
|
||||
msg = _convert_dict_to_message(res)
|
||||
additional_kwargs = msg.additional_kwargs.get("function_call", {})
|
||||
data = msg.data.get("function_call", {})
|
||||
chunk = ChatGenerationChunk(
|
||||
text=res["result"],
|
||||
message=AIMessageChunk(
|
||||
content=msg.content,
|
||||
role="assistant",
|
||||
additional_kwargs=additional_kwargs,
|
||||
data=data,
|
||||
),
|
||||
generation_info=msg.additional_kwargs,
|
||||
generation_info=msg.data,
|
||||
)
|
||||
if run_manager:
|
||||
run_manager.on_llm_new_token(chunk.text, chunk=chunk)
|
||||
@@ -362,15 +362,15 @@ class QianfanChatEndpoint(BaseChatModel):
|
||||
async for res in await self.client.ado(**params):
|
||||
if res:
|
||||
msg = _convert_dict_to_message(res)
|
||||
additional_kwargs = msg.additional_kwargs.get("function_call", {})
|
||||
data = msg.data.get("function_call", {})
|
||||
chunk = ChatGenerationChunk(
|
||||
text=res["result"],
|
||||
message=AIMessageChunk(
|
||||
content=msg.content,
|
||||
role="assistant",
|
||||
additional_kwargs=additional_kwargs,
|
||||
data=data,
|
||||
),
|
||||
generation_info=msg.additional_kwargs,
|
||||
generation_info=msg.data,
|
||||
)
|
||||
if run_manager:
|
||||
await run_manager.on_llm_new_token(chunk.text, chunk=chunk)
|
||||
|
||||
@@ -87,10 +87,10 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
|
||||
# Also OpenAI returns None for tool invocations
|
||||
content = _dict.get("content", "") or ""
|
||||
if _dict.get("function_call"):
|
||||
additional_kwargs = {"function_call": dict(_dict["function_call"])}
|
||||
data = {"function_call": dict(_dict["function_call"])}
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
return AIMessage(content=content, additional_kwargs=additional_kwargs)
|
||||
data = {}
|
||||
return AIMessage(content=content, data=data)
|
||||
elif role == "system":
|
||||
return SystemMessage(content=_dict["content"])
|
||||
elif role == "function":
|
||||
@@ -105,14 +105,14 @@ def _convert_delta_to_message_chunk(
|
||||
role = _dict.get("role")
|
||||
content = _dict.get("content") or ""
|
||||
if _dict.get("function_call"):
|
||||
additional_kwargs = {"function_call": dict(_dict["function_call"])}
|
||||
data = {"function_call": dict(_dict["function_call"])}
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
data = {}
|
||||
|
||||
if role == "user" or default_class == HumanMessageChunk:
|
||||
return HumanMessageChunk(content=content)
|
||||
elif role == "assistant" or default_class == AIMessageChunk:
|
||||
return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
|
||||
return AIMessageChunk(content=content, data=data)
|
||||
elif role == "system" or default_class == SystemMessageChunk:
|
||||
return SystemMessageChunk(content=content)
|
||||
elif role == "function" or default_class == FunctionMessageChunk:
|
||||
@@ -130,8 +130,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
message_dict = {"role": "user", "content": message.content}
|
||||
elif isinstance(message, AIMessage):
|
||||
message_dict = {"role": "assistant", "content": message.content}
|
||||
if "function_call" in message.additional_kwargs:
|
||||
message_dict["function_call"] = message.additional_kwargs["function_call"]
|
||||
if "function_call" in message.data:
|
||||
message_dict["function_call"] = message.data["function_call"]
|
||||
elif isinstance(message, SystemMessage):
|
||||
message_dict = {"role": "system", "content": message.content}
|
||||
elif isinstance(message, FunctionMessage):
|
||||
@@ -142,8 +142,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise ValueError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
|
||||
|
||||
@@ -206,16 +206,14 @@ class ErnieBotChat(BaseChatModel):
|
||||
|
||||
def _create_chat_result(self, response: Mapping[str, Any]) -> ChatResult:
|
||||
if "function_call" in response:
|
||||
additional_kwargs = {
|
||||
"function_call": dict(response.get("function_call", {}))
|
||||
}
|
||||
data = {"function_call": dict(response.get("function_call", {}))}
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
data = {}
|
||||
generations = [
|
||||
ChatGeneration(
|
||||
message=AIMessage(
|
||||
content=response.get("result", ""),
|
||||
additional_kwargs={**additional_kwargs},
|
||||
data={**data},
|
||||
)
|
||||
)
|
||||
]
|
||||
|
||||
@@ -45,12 +45,12 @@ def _convert_delta_to_message_chunk(
|
||||
"""Convert a delta response to a message chunk."""
|
||||
role = _dict.role
|
||||
content = _dict.content or ""
|
||||
additional_kwargs: Dict = {}
|
||||
data: Dict = {}
|
||||
|
||||
if role == "user" or default_class == HumanMessageChunk:
|
||||
return HumanMessageChunk(content=content)
|
||||
elif role == "assistant" or default_class == AIMessageChunk:
|
||||
return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
|
||||
return AIMessageChunk(content=content, data=data)
|
||||
elif role == "system" or default_class == SystemMessageChunk:
|
||||
return SystemMessageChunk(content=content)
|
||||
elif role == "function" or default_class == FunctionMessageChunk:
|
||||
@@ -69,8 +69,8 @@ def convert_dict_to_message(_dict: Any) -> BaseMessage:
|
||||
return HumanMessage(content=content)
|
||||
elif role == "assistant":
|
||||
content = _dict.content
|
||||
additional_kwargs: Dict = {}
|
||||
return AIMessage(content=content, additional_kwargs=additional_kwargs)
|
||||
data: Dict = {}
|
||||
return AIMessage(content=content, data=data)
|
||||
elif role == "system":
|
||||
return SystemMessage(content=content)
|
||||
elif role == "function":
|
||||
|
||||
@@ -196,13 +196,13 @@ class ChatJavelinAIGateway(BaseChatModel):
|
||||
else:
|
||||
raise ValueError(f"Got unknown message type: {message}")
|
||||
|
||||
if "function_call" in message.additional_kwargs:
|
||||
if "function_call" in message.data:
|
||||
ChatJavelinAIGateway._raise_functions_not_supported()
|
||||
if message.additional_kwargs:
|
||||
if message.data:
|
||||
logger.warning(
|
||||
"Additional message arguments are unsupported by Javelin AI Gateway "
|
||||
" and will be ignored: %s",
|
||||
message.additional_kwargs,
|
||||
message.data,
|
||||
)
|
||||
return message_dict
|
||||
|
||||
|
||||
@@ -138,8 +138,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise ValueError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
|
||||
|
||||
@@ -84,10 +84,10 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
|
||||
# Also OpenAI returns None for tool invocations
|
||||
content = _dict.get("content", "") or ""
|
||||
if _dict.get("function_call"):
|
||||
additional_kwargs = {"function_call": dict(_dict["function_call"])}
|
||||
data = {"function_call": dict(_dict["function_call"])}
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
return AIMessage(content=content, additional_kwargs=additional_kwargs)
|
||||
data = {}
|
||||
return AIMessage(content=content, data=data)
|
||||
elif role == "system":
|
||||
return SystemMessage(content=_dict["content"])
|
||||
elif role == "function":
|
||||
@@ -118,14 +118,14 @@ def _convert_delta_to_message_chunk(
|
||||
role = _dict.get("role")
|
||||
content = _dict.get("content") or ""
|
||||
if _dict.get("function_call"):
|
||||
additional_kwargs = {"function_call": dict(_dict["function_call"])}
|
||||
data = {"function_call": dict(_dict["function_call"])}
|
||||
else:
|
||||
additional_kwargs = {}
|
||||
data = {}
|
||||
|
||||
if role == "user" or default_class == HumanMessageChunk:
|
||||
return HumanMessageChunk(content=content)
|
||||
elif role == "assistant" or default_class == AIMessageChunk:
|
||||
return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
|
||||
return AIMessageChunk(content=content, data=data)
|
||||
elif role == "system" or default_class == SystemMessageChunk:
|
||||
return SystemMessageChunk(content=content)
|
||||
elif role == "function" or default_class == FunctionMessageChunk:
|
||||
@@ -143,8 +143,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
message_dict = {"role": "user", "content": message.content}
|
||||
elif isinstance(message, AIMessage):
|
||||
message_dict = {"role": "assistant", "content": message.content}
|
||||
if "function_call" in message.additional_kwargs:
|
||||
message_dict["function_call"] = message.additional_kwargs["function_call"]
|
||||
if "function_call" in message.data:
|
||||
message_dict["function_call"] = message.data["function_call"]
|
||||
elif isinstance(message, SystemMessage):
|
||||
message_dict = {"role": "system", "content": message.content}
|
||||
elif isinstance(message, FunctionMessage):
|
||||
@@ -155,8 +155,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise ValueError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
|
||||
|
||||
@@ -178,13 +178,13 @@ class ChatMlflow(BaseChatModel):
|
||||
else:
|
||||
raise ValueError(f"Got unknown message type: {message}")
|
||||
|
||||
if "function_call" in message.additional_kwargs:
|
||||
if "function_call" in message.data:
|
||||
ChatMlflow._raise_functions_not_supported()
|
||||
if message.additional_kwargs:
|
||||
if message.data:
|
||||
logger.warning(
|
||||
"Additional message arguments are unsupported by Databricks"
|
||||
" and will be ignored: %s",
|
||||
message.additional_kwargs,
|
||||
message.data,
|
||||
)
|
||||
return message_dict
|
||||
|
||||
|
||||
@@ -169,13 +169,13 @@ class ChatMLflowAIGateway(BaseChatModel):
|
||||
else:
|
||||
raise ValueError(f"Got unknown message type: {message}")
|
||||
|
||||
if "function_call" in message.additional_kwargs:
|
||||
if "function_call" in message.data:
|
||||
ChatMLflowAIGateway._raise_functions_not_supported()
|
||||
if message.additional_kwargs:
|
||||
if message.data:
|
||||
logger.warning(
|
||||
"Additional message arguments are unsupported by MLflow AI Gateway "
|
||||
" and will be ignored: %s",
|
||||
message.additional_kwargs,
|
||||
message.data,
|
||||
)
|
||||
return message_dict
|
||||
|
||||
|
||||
@@ -119,19 +119,19 @@ def _convert_delta_to_message_chunk(
|
||||
) -> BaseMessageChunk:
|
||||
role = _dict.get("role")
|
||||
content = _dict.get("content") or ""
|
||||
additional_kwargs: Dict = {}
|
||||
data: Dict = {}
|
||||
if _dict.get("function_call"):
|
||||
function_call = dict(_dict["function_call"])
|
||||
if "name" in function_call and function_call["name"] is None:
|
||||
function_call["name"] = ""
|
||||
additional_kwargs["function_call"] = function_call
|
||||
data["function_call"] = function_call
|
||||
if _dict.get("tool_calls"):
|
||||
additional_kwargs["tool_calls"] = _dict["tool_calls"]
|
||||
data["tool_calls"] = _dict["tool_calls"]
|
||||
|
||||
if role == "user" or default_class == HumanMessageChunk:
|
||||
return HumanMessageChunk(content=content)
|
||||
elif role == "assistant" or default_class == AIMessageChunk:
|
||||
return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
|
||||
return AIMessageChunk(content=content, data=data)
|
||||
elif role == "system" or default_class == SystemMessageChunk:
|
||||
return SystemMessageChunk(content=content)
|
||||
elif role == "function" or default_class == FunctionMessageChunk:
|
||||
|
||||
@@ -175,19 +175,19 @@ class ChatPerplexity(BaseChatModel):
|
||||
) -> BaseMessageChunk:
|
||||
role = _dict.get("role")
|
||||
content = _dict.get("content") or ""
|
||||
additional_kwargs: Dict = {}
|
||||
data: Dict = {}
|
||||
if _dict.get("function_call"):
|
||||
function_call = dict(_dict["function_call"])
|
||||
if "name" in function_call and function_call["name"] is None:
|
||||
function_call["name"] = ""
|
||||
additional_kwargs["function_call"] = function_call
|
||||
data["function_call"] = function_call
|
||||
if _dict.get("tool_calls"):
|
||||
additional_kwargs["tool_calls"] = _dict["tool_calls"]
|
||||
data["tool_calls"] = _dict["tool_calls"]
|
||||
|
||||
if role == "user" or default_class == HumanMessageChunk:
|
||||
return HumanMessageChunk(content=content)
|
||||
elif role == "assistant" or default_class == AIMessageChunk:
|
||||
return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
|
||||
return AIMessageChunk(content=content, data=data)
|
||||
elif role == "system" or default_class == SystemMessageChunk:
|
||||
return SystemMessageChunk(content=content)
|
||||
elif role == "function" or default_class == FunctionMessageChunk:
|
||||
|
||||
@@ -483,6 +483,6 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
|
||||
}
|
||||
else:
|
||||
raise ValueError(f"Got unknown type {message}")
|
||||
if "name" in message.additional_kwargs:
|
||||
message_dict["name"] = message.additional_kwargs["name"]
|
||||
if "name" in message.data:
|
||||
message_dict["name"] = message.data["name"]
|
||||
return message_dict
|
||||
|
||||
@@ -30,7 +30,7 @@ class OutputFunctionsParser(BaseGenerationOutputParser[Any]):
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
func_call = copy.deepcopy(message.additional_kwargs["function_call"])
|
||||
func_call = copy.deepcopy(message.data["function_call"])
|
||||
except KeyError as exc:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
|
||||
@@ -71,10 +71,10 @@ class JsonOutputFunctionsParser(BaseCumulativeTransformOutputParser[Any]):
|
||||
"This output parser can only be used with a chat generation."
|
||||
)
|
||||
message = generation.message
|
||||
if "function_call" not in message.additional_kwargs:
|
||||
if "function_call" not in message.data:
|
||||
return None
|
||||
try:
|
||||
function_call = message.additional_kwargs["function_call"]
|
||||
function_call = message.data["function_call"]
|
||||
except KeyError as exc:
|
||||
if partial:
|
||||
return None
|
||||
|
||||
@@ -263,7 +263,7 @@ def test_functions_call_thoughts() -> None:
|
||||
message = HumanMessage(content="What's the temperature in Shanghai today?")
|
||||
response = chain.batch([{"input": message}])
|
||||
assert isinstance(response[0], AIMessage)
|
||||
assert "function_call" in response[0].additional_kwargs
|
||||
assert "function_call" in response[0].data
|
||||
|
||||
|
||||
def test_functions_call() -> None:
|
||||
@@ -274,7 +274,7 @@ def test_functions_call() -> None:
|
||||
HumanMessage(content="What's the temperature in Shanghai today?"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
data={
|
||||
"function_call": {
|
||||
"name": "get_current_temperature",
|
||||
"thoughts": "i will use get_current_temperature "
|
||||
|
||||
@@ -24,19 +24,16 @@ def test_imessage_chat_loader_upgrade_osx11() -> None:
|
||||
# time parsed correctly
|
||||
expected_message_time = 720845450393148160
|
||||
assert (
|
||||
first_message.additional_kwargs["message_time"] == expected_message_time
|
||||
first_message.data["message_time"] == expected_message_time
|
||||
), "unexpected time"
|
||||
|
||||
expected_parsed_time = datetime.datetime(2023, 11, 5, 2, 50, 50, 393148)
|
||||
assert (
|
||||
first_message.additional_kwargs["message_time_as_datetime"]
|
||||
== expected_parsed_time
|
||||
first_message.data["message_time_as_datetime"] == expected_parsed_time
|
||||
), "date failed to parse"
|
||||
|
||||
# is_from_me parsed correctly
|
||||
assert (
|
||||
first_message.additional_kwargs["is_from_me"] is False
|
||||
), "is_from_me failed to parse"
|
||||
assert first_message.data["is_from_me"] is False, "is_from_me failed to parse"
|
||||
|
||||
|
||||
def test_imessage_chat_loader() -> None:
|
||||
@@ -58,19 +55,16 @@ def test_imessage_chat_loader() -> None:
|
||||
# time parsed correctly
|
||||
expected_message_time = 720845450393148160
|
||||
assert (
|
||||
first_message.additional_kwargs["message_time"] == expected_message_time
|
||||
first_message.data["message_time"] == expected_message_time
|
||||
), "unexpected time"
|
||||
|
||||
expected_parsed_time = datetime.datetime(2023, 11, 5, 2, 50, 50, 393148)
|
||||
assert (
|
||||
first_message.additional_kwargs["message_time_as_datetime"]
|
||||
== expected_parsed_time
|
||||
first_message.data["message_time_as_datetime"] == expected_parsed_time
|
||||
), "date failed to parse"
|
||||
|
||||
# is_from_me parsed correctly
|
||||
assert (
|
||||
first_message.additional_kwargs["is_from_me"] is False
|
||||
), "is_from_me failed to parse"
|
||||
assert first_message.data["is_from_me"] is False, "is_from_me failed to parse"
|
||||
|
||||
# short message content in attributedBody field
|
||||
assert (
|
||||
|
||||
@@ -17,9 +17,7 @@ def _assert_messages_are_equal(
|
||||
assert len(actual_messages) == len(expected_messages)
|
||||
for actual, expected in zip(actual_messages, expected_messages):
|
||||
assert actual.content == expected.content
|
||||
assert (
|
||||
actual.additional_kwargs["sender"] == expected.additional_kwargs["sender"]
|
||||
)
|
||||
assert actual.data["sender"] == expected.data["sender"]
|
||||
|
||||
|
||||
def _check_telegram_chat_loader(path: str) -> None:
|
||||
@@ -49,21 +47,21 @@ def _check_telegram_chat_loader(path: str) -> None:
|
||||
expected_content = [
|
||||
HumanMessage(
|
||||
content="i refuse to converse with you",
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": "Jimmeny Marvelton",
|
||||
"events": [{"message_time": "23.08.2023 13:11:23 UTC-08:00"}],
|
||||
},
|
||||
),
|
||||
AIMessage(
|
||||
content="Hi nemesis",
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": "Batman & Robin",
|
||||
"events": [{"message_time": "23.08.2023 13:13:20 UTC-08:00"}],
|
||||
},
|
||||
),
|
||||
HumanMessage(
|
||||
content="we meet again\n\nyou will not trick me this time",
|
||||
additional_kwargs={
|
||||
data={
|
||||
"sender": "Jimmeny Marvelton",
|
||||
"events": [{"message_time": "23.08.2023 13:15:35 UTC-08:00"}],
|
||||
},
|
||||
|
||||
@@ -77,8 +77,8 @@ def get_buffer_string(
|
||||
else:
|
||||
raise ValueError(f"Got unsupported message type: {m}")
|
||||
message = f"{role}: {m.content}"
|
||||
if isinstance(m, AIMessage) and "function_call" in m.additional_kwargs:
|
||||
message += f"{m.additional_kwargs['function_call']}"
|
||||
if isinstance(m, AIMessage) and "function_call" in m.data:
|
||||
message += f"{m.data['function_call']}"
|
||||
string_messages.append(message)
|
||||
|
||||
return "\n".join(string_messages)
|
||||
@@ -151,7 +151,7 @@ def _create_message_from_message_type(
|
||||
content: str,
|
||||
name: Optional[str] = None,
|
||||
tool_call_id: Optional[str] = None,
|
||||
**additional_kwargs: Any,
|
||||
**data: Any,
|
||||
) -> BaseMessage:
|
||||
"""Create a message from a message type and content string.
|
||||
|
||||
@@ -167,8 +167,8 @@ def _create_message_from_message_type(
|
||||
kwargs["name"] = name
|
||||
if tool_call_id is not None:
|
||||
kwargs["tool_call_id"] = tool_call_id
|
||||
if additional_kwargs:
|
||||
kwargs["additional_kwargs"] = additional_kwargs # type: ignore[assignment]
|
||||
if data:
|
||||
kwargs["data"] = data # type: ignore[assignment]
|
||||
if message_type in ("human", "user"):
|
||||
message: BaseMessage = HumanMessage(content=content, **kwargs)
|
||||
elif message_type in ("ai", "assistant"):
|
||||
|
||||
@@ -49,9 +49,7 @@ class AIMessageChunk(AIMessage, BaseMessageChunk):
|
||||
return self.__class__(
|
||||
example=self.example,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
|
||||
return super().__add__(other)
|
||||
|
||||
@@ -20,8 +20,11 @@ class BaseMessage(Serializable):
|
||||
content: Union[str, List[Union[str, Dict]]]
|
||||
"""The string contents of the message."""
|
||||
|
||||
additional_kwargs: dict = Field(default_factory=dict)
|
||||
"""Any additional information."""
|
||||
data: dict = Field(default_factory=dict)
|
||||
"""Reserved for additional payload data associated with the message.
|
||||
|
||||
For example, for a message from an AI, this could include tool calls.
|
||||
"""
|
||||
|
||||
type: str
|
||||
|
||||
@@ -36,7 +39,14 @@ class BaseMessage(Serializable):
|
||||
self, content: Union[str, List[Union[str, Dict]]], **kwargs: Any
|
||||
) -> None:
|
||||
"""Pass in content as positional arg."""
|
||||
return super().__init__(content=content, **kwargs)
|
||||
# Handle additional_kwargs for backwards compatible ser/des
|
||||
if "additional_kwargs" in kwargs:
|
||||
kwargs["data"] = {
|
||||
**kwargs.pop("additional_kwargs"),
|
||||
**kwargs.get("data", {}),
|
||||
}
|
||||
super().__init__(content=content, **kwargs)
|
||||
self._lc_kwargs["additional_kwargs"] = self.data
|
||||
|
||||
@classmethod
|
||||
def is_lc_serializable(cls) -> bool:
|
||||
@@ -54,6 +64,16 @@ class BaseMessage(Serializable):
|
||||
prompt = ChatPromptTemplate(messages=[self])
|
||||
return prompt + other
|
||||
|
||||
# For backwards compatibility.
|
||||
@property
|
||||
def additional_kwargs(self) -> Dict:
|
||||
return self.data
|
||||
|
||||
# For backwards compatibility.
|
||||
@additional_kwargs.setter
|
||||
def additional_kwargs(self, kwargs: dict) -> None:
|
||||
self.data = kwargs
|
||||
|
||||
def pretty_repr(self, html: bool = False) -> str:
|
||||
title = get_msg_title_repr(self.type.title() + " Message", bold=html)
|
||||
# TODO: handle non-string content.
|
||||
@@ -112,7 +132,7 @@ class BaseMessageChunk(BaseMessage):
|
||||
def _merge_kwargs_dict(
|
||||
self, left: Dict[str, Any], right: Dict[str, Any]
|
||||
) -> Dict[str, Any]:
|
||||
"""Merge additional_kwargs from another BaseMessageChunk into this one,
|
||||
"""Merge data from another BaseMessageChunk into this one,
|
||||
handling specific scenarios where a key exists in both dictionaries
|
||||
but has a value of None in 'left'. In such cases, the method uses the
|
||||
value from 'right' for that key in the merged dictionary.
|
||||
@@ -135,7 +155,7 @@ class BaseMessageChunk(BaseMessage):
|
||||
continue
|
||||
elif type(merged[k]) != type(v):
|
||||
raise TypeError(
|
||||
f'additional_kwargs["{k}"] already exists in this message,'
|
||||
f'data["{k}"] already exists in this message,'
|
||||
" but with a different type."
|
||||
)
|
||||
elif isinstance(merged[k], str):
|
||||
@@ -165,9 +185,7 @@ class BaseMessageChunk(BaseMessage):
|
||||
return self.__class__(
|
||||
id=self.id,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
else:
|
||||
raise TypeError(
|
||||
|
||||
@@ -47,17 +47,13 @@ class ChatMessageChunk(ChatMessage, BaseMessageChunk):
|
||||
return self.__class__(
|
||||
role=self.role,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
elif isinstance(other, BaseMessageChunk):
|
||||
return self.__class__(
|
||||
role=self.role,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
else:
|
||||
return super().__add__(other)
|
||||
|
||||
@@ -47,9 +47,7 @@ class FunctionMessageChunk(FunctionMessage, BaseMessageChunk):
|
||||
return self.__class__(
|
||||
name=self.name,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
|
||||
return super().__add__(other)
|
||||
|
||||
@@ -47,9 +47,7 @@ class ToolMessageChunk(ToolMessage, BaseMessageChunk):
|
||||
return self.__class__(
|
||||
tool_call_id=self.tool_call_id,
|
||||
content=merge_content(self.content, other.content),
|
||||
additional_kwargs=self._merge_kwargs_dict(
|
||||
self.additional_kwargs, other.additional_kwargs
|
||||
),
|
||||
data=self._merge_kwargs_dict(self.data, other.data),
|
||||
)
|
||||
|
||||
return super().__add__(other)
|
||||
|
||||
@@ -28,7 +28,7 @@ class OutputFunctionsParser(BaseGenerationOutputParser[Any]):
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
func_call = copy.deepcopy(message.additional_kwargs["function_call"])
|
||||
func_call = copy.deepcopy(message.data["function_call"])
|
||||
except KeyError as exc:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
|
||||
@@ -70,7 +70,7 @@ class JsonOutputFunctionsParser(BaseCumulativeTransformOutputParser[Any]):
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
function_call = message.additional_kwargs["function_call"]
|
||||
function_call = message.data["function_call"]
|
||||
except KeyError as exc:
|
||||
if partial:
|
||||
return None
|
||||
@@ -154,7 +154,7 @@ class PydanticOutputFunctionsParser(OutputFunctionsParser):
|
||||
|
||||
message = AIMessage(
|
||||
content="This is a test message",
|
||||
additional_kwargs={
|
||||
data={
|
||||
"function_call": {
|
||||
"name": "cookie",
|
||||
"arguments": json.dumps({"name": "value", "age": 10}),
|
||||
|
||||
@@ -41,7 +41,7 @@ class JsonOutputToolsParser(BaseGenerationOutputParser[Any]):
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
tool_calls = copy.deepcopy(message.additional_kwargs["tool_calls"])
|
||||
tool_calls = copy.deepcopy(message.data["tool_calls"])
|
||||
except KeyError:
|
||||
return []
|
||||
|
||||
|
||||
@@ -162,7 +162,7 @@ class BaseStringMessagePromptTemplate(BaseMessagePromptTemplate, ABC):
|
||||
|
||||
prompt: StringPromptTemplate
|
||||
"""String prompt template."""
|
||||
additional_kwargs: dict = Field(default_factory=dict)
|
||||
data: dict = Field(default_factory=dict)
|
||||
"""Additional keyword arguments to pass to the prompt template."""
|
||||
|
||||
@classmethod
|
||||
@@ -280,9 +280,7 @@ class ChatMessagePromptTemplate(BaseStringMessagePromptTemplate):
|
||||
Formatted message.
|
||||
"""
|
||||
text = self.prompt.format(**kwargs)
|
||||
return ChatMessage(
|
||||
content=text, role=self.role, additional_kwargs=self.additional_kwargs
|
||||
)
|
||||
return ChatMessage(content=text, role=self.role, data=self.data)
|
||||
|
||||
|
||||
_StringImageMessagePromptTemplateT = TypeVar(
|
||||
@@ -305,7 +303,7 @@ class _StringImageMessagePromptTemplate(BaseMessagePromptTemplate):
|
||||
StringPromptTemplate, List[Union[StringPromptTemplate, ImagePromptTemplate]]
|
||||
]
|
||||
"""Prompt template."""
|
||||
additional_kwargs: dict = Field(default_factory=dict)
|
||||
data: dict = Field(default_factory=dict)
|
||||
"""Additional keyword arguments to pass to the prompt template."""
|
||||
|
||||
_msg_class: Type[BaseMessage]
|
||||
@@ -443,9 +441,7 @@ class _StringImageMessagePromptTemplate(BaseMessagePromptTemplate):
|
||||
"""
|
||||
if isinstance(self.prompt, StringPromptTemplate):
|
||||
text = self.prompt.format(**kwargs)
|
||||
return self._msg_class(
|
||||
content=text, additional_kwargs=self.additional_kwargs
|
||||
)
|
||||
return self._msg_class(content=text, data=self.data)
|
||||
else:
|
||||
content: List = []
|
||||
for prompt in self.prompt:
|
||||
@@ -456,9 +452,7 @@ class _StringImageMessagePromptTemplate(BaseMessagePromptTemplate):
|
||||
elif isinstance(prompt, ImagePromptTemplate):
|
||||
formatted = prompt.format(**inputs)
|
||||
content.append({"type": "image_url", "image_url": formatted})
|
||||
return self._msg_class(
|
||||
content=content, additional_kwargs=self.additional_kwargs
|
||||
)
|
||||
return self._msg_class(content=content, data=self.data)
|
||||
|
||||
def pretty_repr(self, html: bool = False) -> str:
|
||||
# TODO: Handle partials
|
||||
|
||||
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Reference in New Issue
Block a user