Spaces:
Running
Running
Update assistants.py
Browse files- assistants.py +34 -34
assistants.py
CHANGED
|
@@ -42,7 +42,7 @@ tools = {
|
|
| 42 |
"tavily_search_tool": tavily_search_tool,
|
| 43 |
}
|
| 44 |
|
| 45 |
-
def create_assistant(
|
| 46 |
assistant = openai_client.beta.assistants.create(
|
| 47 |
name="Python Coding Assistant",
|
| 48 |
instructions=(
|
|
@@ -63,17 +63,17 @@ def create_assistant(openai_client):
|
|
| 63 |
|
| 64 |
return assistant
|
| 65 |
|
| 66 |
-
def load_assistant(
|
| 67 |
assistant = openai_client.beta.assistants.retrieve(assistant_id)
|
| 68 |
show_json("assistant", assistant)
|
| 69 |
return assistant
|
| 70 |
|
| 71 |
-
def create_thread(
|
| 72 |
thread = openai_client.beta.threads.create()
|
| 73 |
show_json("thread", thread)
|
| 74 |
return thread
|
| 75 |
|
| 76 |
-
def create_message(
|
| 77 |
message = openai_client.beta.threads.messages.create(
|
| 78 |
role="user",
|
| 79 |
thread_id=thread.id,
|
|
@@ -83,7 +83,7 @@ def create_message(openai_client, thread, msg):
|
|
| 83 |
show_json("message", message)
|
| 84 |
return message
|
| 85 |
|
| 86 |
-
def create_run(
|
| 87 |
run = openai_client.beta.threads.runs.create(
|
| 88 |
assistant_id=assistant.id,
|
| 89 |
thread_id=thread.id,
|
|
@@ -93,7 +93,7 @@ def create_run(openai_client, assistant, thread):
|
|
| 93 |
show_json("run", run)
|
| 94 |
return run
|
| 95 |
|
| 96 |
-
def wait_on_run(
|
| 97 |
while run.status == "queued" or run.status == "in_progress":
|
| 98 |
run = openai_client.beta.threads.runs.retrieve(
|
| 99 |
thread_id=thread.id,
|
|
@@ -109,7 +109,7 @@ def wait_on_run(openai_client, thread, run):
|
|
| 109 |
|
| 110 |
return run
|
| 111 |
|
| 112 |
-
def get_run_steps(
|
| 113 |
run_steps = openai_client.beta.threads.runs.steps.list(
|
| 114 |
thread_id=thread.id,
|
| 115 |
run_id=run.id,
|
|
@@ -149,34 +149,10 @@ def execute_tool_calls(run_steps):
|
|
| 149 |
|
| 150 |
return tool_call_ids, tool_call_results
|
| 151 |
|
| 152 |
-
def get_messages(openai_client, thread):
|
| 153 |
-
messages = openai_client.beta.threads.messages.list(
|
| 154 |
-
thread_id=thread.id
|
| 155 |
-
)
|
| 156 |
-
|
| 157 |
-
show_json("messages", messages)
|
| 158 |
-
return messages
|
| 159 |
-
|
| 160 |
-
def extract_content_values(data):
|
| 161 |
-
text_values, image_values = [], []
|
| 162 |
-
|
| 163 |
-
for item in data.data:
|
| 164 |
-
for content in item.content:
|
| 165 |
-
# TODO: Handle other file types
|
| 166 |
-
if content.type == "text":
|
| 167 |
-
text_value = content.text.value
|
| 168 |
-
text_values.append(text_value)
|
| 169 |
-
if content.type == "image_file":
|
| 170 |
-
image_value = content.image_file.file_id
|
| 171 |
-
image_values.append(image_value)
|
| 172 |
-
|
| 173 |
-
return text_values, image_values
|
| 174 |
-
|
| 175 |
def recurse_execute_tool_calls(thread, run, run_steps, iteration):
|
| 176 |
tool_call_ids, tool_call_results = execute_tool_calls(run_steps)
|
| 177 |
|
| 178 |
if len(tool_call_ids) > iteration:
|
| 179 |
-
# https://platform.openai.com/docs/api-reference/runs/submitToolOutputs
|
| 180 |
tool_output = {}
|
| 181 |
|
| 182 |
try:
|
|
@@ -190,15 +166,39 @@ def recurse_execute_tool_calls(thread, run, run_steps, iteration):
|
|
| 190 |
"output": tool_call_results[iteration]
|
| 191 |
}
|
| 192 |
|
|
|
|
| 193 |
run = openai_client.beta.threads.runs.submit_tool_outputs(
|
| 194 |
thread_id=thread.id,
|
| 195 |
run_id=run.id,
|
| 196 |
tool_outputs=[tool_output]
|
| 197 |
)
|
| 198 |
|
| 199 |
-
run = wait_on_run(
|
| 200 |
-
run_steps = get_run_steps(
|
| 201 |
|
| 202 |
recurse_execute_tool_calls(thread, run, run_steps, iteration + 1)
|
| 203 |
else:
|
| 204 |
-
return
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
"tavily_search_tool": tavily_search_tool,
|
| 43 |
}
|
| 44 |
|
| 45 |
+
def create_assistant():
|
| 46 |
assistant = openai_client.beta.assistants.create(
|
| 47 |
name="Python Coding Assistant",
|
| 48 |
instructions=(
|
|
|
|
| 63 |
|
| 64 |
return assistant
|
| 65 |
|
| 66 |
+
def load_assistant():
|
| 67 |
assistant = openai_client.beta.assistants.retrieve(assistant_id)
|
| 68 |
show_json("assistant", assistant)
|
| 69 |
return assistant
|
| 70 |
|
| 71 |
+
def create_thread():
|
| 72 |
thread = openai_client.beta.threads.create()
|
| 73 |
show_json("thread", thread)
|
| 74 |
return thread
|
| 75 |
|
| 76 |
+
def create_message(thread, msg):
|
| 77 |
message = openai_client.beta.threads.messages.create(
|
| 78 |
role="user",
|
| 79 |
thread_id=thread.id,
|
|
|
|
| 83 |
show_json("message", message)
|
| 84 |
return message
|
| 85 |
|
| 86 |
+
def create_run(assistant, thread):
|
| 87 |
run = openai_client.beta.threads.runs.create(
|
| 88 |
assistant_id=assistant.id,
|
| 89 |
thread_id=thread.id,
|
|
|
|
| 93 |
show_json("run", run)
|
| 94 |
return run
|
| 95 |
|
| 96 |
+
def wait_on_run(thread, run):
|
| 97 |
while run.status == "queued" or run.status == "in_progress":
|
| 98 |
run = openai_client.beta.threads.runs.retrieve(
|
| 99 |
thread_id=thread.id,
|
|
|
|
| 109 |
|
| 110 |
return run
|
| 111 |
|
| 112 |
+
def get_run_steps(thread, run):
|
| 113 |
run_steps = openai_client.beta.threads.runs.steps.list(
|
| 114 |
thread_id=thread.id,
|
| 115 |
run_id=run.id,
|
|
|
|
| 149 |
|
| 150 |
return tool_call_ids, tool_call_results
|
| 151 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 152 |
def recurse_execute_tool_calls(thread, run, run_steps, iteration):
|
| 153 |
tool_call_ids, tool_call_results = execute_tool_calls(run_steps)
|
| 154 |
|
| 155 |
if len(tool_call_ids) > iteration:
|
|
|
|
| 156 |
tool_output = {}
|
| 157 |
|
| 158 |
try:
|
|
|
|
| 166 |
"output": tool_call_results[iteration]
|
| 167 |
}
|
| 168 |
|
| 169 |
+
# https://platform.openai.com/docs/api-reference/runs/submitToolOutputs
|
| 170 |
run = openai_client.beta.threads.runs.submit_tool_outputs(
|
| 171 |
thread_id=thread.id,
|
| 172 |
run_id=run.id,
|
| 173 |
tool_outputs=[tool_output]
|
| 174 |
)
|
| 175 |
|
| 176 |
+
run = wait_on_run(thread, run)
|
| 177 |
+
run_steps = get_run_steps(thread, run)
|
| 178 |
|
| 179 |
recurse_execute_tool_calls(thread, run, run_steps, iteration + 1)
|
| 180 |
else:
|
| 181 |
+
return
|
| 182 |
+
|
| 183 |
+
def get_messages(thread):
|
| 184 |
+
messages = openai_client.beta.threads.messages.list(
|
| 185 |
+
thread_id=thread.id
|
| 186 |
+
)
|
| 187 |
+
|
| 188 |
+
show_json("messages", messages)
|
| 189 |
+
return messages
|
| 190 |
+
|
| 191 |
+
def extract_content_values(data):
|
| 192 |
+
text_values, image_values = [], []
|
| 193 |
+
|
| 194 |
+
for item in data.data:
|
| 195 |
+
for content in item.content:
|
| 196 |
+
# TODO: Handle other file types
|
| 197 |
+
if content.type == "text":
|
| 198 |
+
text_value = content.text.value
|
| 199 |
+
text_values.append(text_value)
|
| 200 |
+
if content.type == "image_file":
|
| 201 |
+
image_value = content.image_file.file_id
|
| 202 |
+
image_values.append(image_value)
|
| 203 |
+
|
| 204 |
+
return text_values, image_values
|