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from gradio import ChatMessage | |
import json | |
import asyncio | |
import re | |
from src.agent.mistral_agent import MistralAgent | |
from src.agent.utils.call import call_tool | |
agent = MistralAgent() | |
api_lock = asyncio.Lock() | |
tool_lock = asyncio.Lock() | |
with open("./prompt.md", encoding="utf-8") as f: | |
SYSTEM_PROMPT = f.read() | |
def extract_phases(text): | |
"""Split streaming in THINK / ACT / OBSERVE / FINAL ANSWER""" | |
phases = {'think': '', 'act': '', 'observe': '', 'final': ''} | |
matches = list(re.finditer(r'(THINK:|ACT:|OBSERVE:|FINAL ANSWER:)', text)) | |
for i, match in enumerate(matches): | |
phase = match.group(1).lower().replace(":", "").replace("final answer", "final") | |
start = match.end() | |
end = matches[i+1].start() if i + 1 < len(matches) else len(text) | |
phases[phase] = text[start:end].strip() | |
return phases | |
async def respond(message, history=None, state=None): | |
if history is None: | |
history = [] | |
if state["cycle"] == 0: | |
messages = [ | |
{"role": "system", "content": SYSTEM_PROMPT}, | |
{"role": "user", "content": message}, | |
{"role": "assistant", "content": "THINK: Let's tackle this query step by step, the user is asking", "prefix": True}, | |
] | |
history.append(ChatMessage(role="assistant", content="", metadata={"title": "Thinking...", "status": "pending", 'id': state["cycle"]})) | |
yield history | |
else: | |
history = [] | |
messages = state["chat"] + [ | |
{"role": "user", "content": message}, | |
{"role": "assistant", "content": "THINK: Let's tackle this query step by step, the user is asking", "prefix": True} | |
] | |
history.append(ChatMessage(role="assistant", content="", metadata={"title": "Thinking...", "status": "pending", 'id': state["cycle"]})) | |
yield history | |
phase_order = ["think", "act", "observe", "final"] | |
phase_index = 0 | |
done = False | |
final_full = "" | |
while not done: | |
current_phase = phase_order[phase_index] | |
if current_phase != "final": | |
full = "" | |
else: | |
full = final_full | |
print('\n', '---' * 15) | |
print(f">>> messages before payload [phase {phase_index}] :", json.dumps([m for m in messages if m.get("role") != "system"], indent=2)) | |
#print(f">>> messages: {json.dumps(messages, indent=2)}") | |
payload = { | |
"agent_id": agent.agent_id, | |
"messages": messages, | |
"stream": True, | |
"max_tokens": None, | |
"tools": agent.tools, | |
"tool_choice": "auto", | |
"presence_penalty": 0, | |
"frequency_penalty": 0, | |
"n": 1 | |
} | |
async with api_lock: | |
response = await agent.client.agents.stream_async(**payload) | |
async for chunk in response: | |
delta = chunk.data.choices[0].delta | |
content = delta.content or "" | |
full += content | |
if current_phase == "final": | |
final_full = full | |
phases = extract_phases(full) | |
buffer = phases.get(current_phase, "") | |
if current_phase == "think": | |
history[-1] = ChatMessage(role="assistant", content=buffer, metadata={"title": "Thinking...", "status": "pending", "id": state['cycle']}) | |
if current_phase == "final": | |
delta_content = delta.content or "" | |
final_full += delta_content | |
phases = extract_phases(final_full) | |
buffer = phases.get("final", "") | |
yield history | |
if delta_content == "" and buffer: | |
done = True | |
break | |
if phase_index == 0: | |
messages = [msg for msg in messages if not msg.get("prefix")] | |
if buffer: | |
prefix_label = current_phase.upper() if current_phase != "final" else "FINAL ANSWER" | |
messages.append({ | |
"role": "assistant", | |
"content": f"{prefix_label}: {buffer}\n\nACT: Now, let's using some tools to answer this query.", | |
"prefix": True | |
}) | |
elif phase_index == 1: | |
for message in messages: | |
if "prefix" in message: | |
del message["prefix"] | |
if phase_index == 2: | |
for message in messages: | |
if "prefix" in message: | |
del message["prefix"] | |
messages.append({ | |
"role": "assistant", | |
"content": "OBSERVE: Based on the results, I can conclude that", | |
"prefix": True | |
}) | |
yield history | |
if current_phase == "act": | |
tool_calls = getattr(delta, "tool_calls", None) | |
if tool_calls and tool_calls != [] and str(tool_calls) != "Unset()": | |
for tool_call in tool_calls: | |
fn_name = tool_call.function.name | |
fn_args = json.loads(tool_call.function.arguments) | |
async with tool_lock: | |
messages = call_tool( | |
agent, | |
tool_calls, | |
messages, | |
) | |
last_tool_response = next((m for m in reversed(messages) if m["role"] == "tool"), None) | |
if last_tool_response and last_tool_response.get("content"): | |
output = last_tool_response["content"] | |
if fn_name == "retrieve_knowledge": | |
# pattern1 = r"##### Knowledge for '.*' \n\n" | |
pattern2 = r"Fetched \d+ relevant documents.\n\n" | |
combined_pattern = re.compile(f"({pattern2})", re.DOTALL) | |
match = combined_pattern.search(output) | |
if match: | |
output = match.group(1) | |
else: | |
output = "No relevant data found." | |
parent_message = next((msg for msg in history if msg.metadata.get("id") == state['cycle']), None) | |
if parent_message: | |
parent_message.content += "\n\n" + buffer + f"\n\nTool: `{fn_name}`\nArgs: `{fn_args}`\n\n" + output + '\n\n' | |
parent_message.metadata["title"] = "Acting..." | |
else: | |
history[-1] = ChatMessage(role="assistant", content=buffer, metadata={"title": "Acting...", "status": "pending", "id": state['cycle']+1, 'parent_id': state["cycle"]}) | |
yield history | |
if not done: | |
phase_index += 1 | |
if phase_index < len(phase_order): | |
pass | |
else: | |
done = True | |
observe_text = phases.get("observe", "") | |
final_text = phases.get("final", "") | |
if observe_text: | |
messages = [msg for msg in messages if not msg.get("prefix")] | |
messages.append({ | |
"role": "assistant", | |
"content": observe_text, | |
}) | |
parent_message = next((msg for msg in history if msg.metadata.get("id") == state['cycle']), None) | |
if parent_message: | |
parent_message.content += "\n\n" + observe_text | |
parent_message.metadata["title"] = "Observing..." | |
parent_message.metadata["status"] = "pending" | |
else: | |
history[-1] = ChatMessage(role="assistant", content=observe_text, metadata={"title": "Observing...", "status": "pending", "id": state['cycle']+2, 'parent_id': state["cycle"]}) | |
if final_text: | |
parent_message = next((msg for msg in history if msg.metadata.get("id") == state['cycle']), None) | |
if parent_message: | |
parent_message.metadata["title"] = "Thoughts" | |
parent_message.metadata["status"] = "done" | |
history.append(ChatMessage(role="assistant", content=final_text)) | |
last_message = messages[-1] | |
last_message["content"] += ' FINAL ANSWER: ' + final_text | |
messages[-1] = last_message | |
state["cycle"] += 1 | |
state["chat"] = messages | |
yield history |