diff --git a/.replit b/.replit new file mode 100644 index 00000000..725858c4 --- /dev/null +++ b/.replit @@ -0,0 +1,12 @@ +modules = ["python-3.12"] +run = "python main.py" + +[nix] +channel = "stable-24_05" + +[deployment] +run = ["sh", "-c", "python main.py"] + +[[ports]] +localPort = 3000 +externalPort = 80 diff --git a/Pasted-Press-CTRL-C-to-quit-172-31-196-3-17-Dec-2024-14-39-55-GET-HTTP-1-1-200-2024-12-17-14-1734446468640.txt b/Pasted-Press-CTRL-C-to-quit-172-31-196-3-17-Dec-2024-14-39-55-GET-HTTP-1-1-200-2024-12-17-14-1734446468640.txt new file mode 100644 index 00000000..85cd2198 --- /dev/null +++ b/Pasted-Press-CTRL-C-to-quit-172-31-196-3-17-Dec-2024-14-39-55-GET-HTTP-1-1-200-2024-12-17-14-1734446468640.txt @@ -0,0 +1,36 @@ +Press CTRL+C to quit +172.31.196.3 - - [17/Dec/2024 14:39:55] "GET / HTTP/1.1" 200 - +[2024-12-17 14:40:09,391] ERROR in app: Exception on /chat [POST] +Traceback (most recent call last): + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/flask/app.py", line 1511, in wsgi_app + response = self.full_dispatch_request() + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/flask/app.py", line 919, in full_dispatch_request + rv = self.handle_user_exception(e) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/flask/app.py", line 917, in full_dispatch_request + rv = self.dispatch_request() + ^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/flask/app.py", line 902, in dispatch_request + return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/main.py", line 22, in chat + response = agent.utterance(history + [["User", message]]) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/genagents.py", line 135, in utterance + ret = utterance(self, curr_dialogue, context) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/interaction.py", line 185, in utterance + return run_gpt_generate_utterance( + ^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/interaction.py", line 170, in run_gpt_generate_utterance + output, prompt, prompt_input, fail_safe = chat_safe_generate( + ^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/simulation_engine/gpt_structure.py", line 143, in chat_safe_generate + response = func_clean_up(response, prompt=prompt) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/interaction.py", line 159, in _func_clean_up + utterance = extract_first_json_dict(gpt_response)["utterance"] + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^ +TypeError: 'NoneType' object is not subscriptable +172.31.196.3 - - [17/Dec/2024 14:40:09] "POST /chat HTTP/1.1" 500 - \ No newline at end of file diff --git a/Pasted-Traceback-most-recent-call-last-File-home-runner-genagentsVishwas-main-py-line-35-in-mod-1734446019424.txt b/Pasted-Traceback-most-recent-call-last-File-home-runner-genagentsVishwas-main-py-line-35-in-mod-1734446019424.txt new file mode 100644 index 00000000..d3c37239 --- /dev/null +++ b/Pasted-Traceback-most-recent-call-last-File-home-runner-genagentsVishwas-main-py-line-35-in-mod-1734446019424.txt @@ -0,0 +1,40 @@ +Traceback (most recent call last): + File "/home/runner/genagentsVishwas/main.py", line 35, in + conversation.start() + File "/home/runner/genagentsVishwas/main.py", line 23, in start + agent_response = self.agent.utterance(self.conversation_history) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/genagents.py", line 135, in utterance + ret = utterance(self, curr_dialogue, context) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/interaction.py", line 184, in utterance + agent_desc = _utterance_agent_desc(agent, anchor) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/interaction.py", line 36, in _utterance_agent_desc + retrieved = agent.memory_stream.retrieve([anchor], 0, n_count=120) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/memory_stream.py", line 387, in retrieve + x = extract_relevance(curr_nodes, self.embeddings, focal_pt) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/genagents/modules/memory_stream.py", line 265, in extract_relevance + focal_embedding = get_text_embedding(focal_pt) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/simulation_engine/gpt_structure.py", line 162, in get_text_embedding + response = openai.embeddings.create( + ^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/openai/_utils/_proxy.py", line 25, in __getattr__ + proxied = self.__get_proxied__() + ^^^^^^^^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/openai/_utils/_proxy.py", line 61, in __get_proxied__ + return self.__load__() + ^^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/openai/_module_client.py", line 54, in __load__ + return _load_client().embeddings + ^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/openai/__init__.py", line 305, in _load_client + _client = _ModuleClient( + ^^^^^^^^^^^^^^ + File "/home/runner/genagentsVishwas/.pythonlibs/lib/python3.12/site-packages/openai/_client.py", line 92, in __init__ + raise OpenAIError( +openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable + \ No newline at end of file diff --git a/README.md b/README.md index 4eac2e9e..80547518 100644 --- a/README.md +++ b/README.md @@ -219,6 +219,10 @@ print(response["responses"]) Due to participant privacy concerns, the full agent bank containing over 1,000 generative agents based on real interviews is not publicly available at the moment. However, we plan to make aggregated responses on fixed tasks accessible for general research use in the coming months. Researchers interested in accessing individual responses on open tasks can request restricted access by contacting the authors and following a review process that ensures ethical considerations are met. +## Using Web UI + +If you prefer to use web UI please take a look at latest changes which were made using Replit. You should be able to import the GIT repository in replit and deploy to see web UI. + ## Contributing We welcome contributions to enhance the functionality and usability of this project. If you are interested in contributing, please follow these steps: @@ -262,4 +266,4 @@ In addition, we thank Douglas Guilbeault, Amir Goldberg, Diyi Yang, Jeff Hancock For questions or inquiries, please contact the corresponding author: -- **Joon Sung Park**: [joonspk@stanford.edu](mailto:joonspk@stanford.edu) \ No newline at end of file +- **Joon Sung Park**: [joonspk@stanford.edu](mailto:joonspk@stanford.edu) diff --git a/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/memory_stream/embeddings.json b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/memory_stream/embeddings.json new file mode 100644 index 00000000..19f10e03 --- /dev/null +++ b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/memory_stream/embeddings.json @@ -0,0 +1 @@ +{"Is from wealthy family. 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-0.011129788123071194, 0.0226301122456789, 0.016440795734524727, 0.003231892827898264, 0.0021220017224550247, 0.06016398221254349, 0.008007683791220188, 0.0016622632974758744, 0.0015473287785425782, -0.017524955794215202, -0.008837957866489887, 0.030438803136348724, 0.05110644921660423, 0.018814967945218086, 0.016509413719177246, 0.02789994888007641, -0.00732150673866272, 0.03406181558966637, -0.010347546078264713, 0.01766219176352024, 0.009352589957416058, 0.019871680065989494, -0.021792976185679436], "Growing up in a wealthy family, I was surrounded by a sense of privilege that set the tone for my childhood. With multiple properties in India, my early years were filled with the comfort and security that wealth can provide. However, I often wonder how this environment shaped my understanding of relationships and the world around me. While I had access to opportunities that many could only dream of, I sometimes felt isolated from the realities faced by others. My childhood was a blend of luxury and introspection, and I find myself reflecting on how these experiences influenced my values and aspirations.": [0.044006235897541046, -0.026201779022812843, 0.015651976689696312, 0.09088244289159775, 0.04379364475607872, -0.01553239393979311, 0.019598187878727913, 0.0553266778588295, -0.013685514219105244, 0.03560891002416611, -0.0017920715035870671, 0.005703404545783997, -0.0022139307111501694, -0.030533311888575554, 0.029443785548210144, -0.007287868298590183, 0.03491799160838127, 0.0017306195804849267, -0.011001558974385262, 0.0038399160839617252, 0.04235865920782089, 0.027769634500145912, -0.01460231002420187, -0.013645652681589127, 0.01375194825232029, -0.03287180885672569, 0.011280584149062634, -0.008603272028267384, 0.02459406480193138, 0.023889858275651932, -0.00613855104893446, -0.010835472494363785, 0.020275820046663284, 0.0016542199300602078, 0.0014441206585615873, 0.020368827506899834, 0.03505086153745651, -0.04517548158764839, 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b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/memory_stream/nodes.json new file mode 100644 index 00000000..597a1cc8 --- /dev/null +++ b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/memory_stream/nodes.json @@ -0,0 +1,34 @@ +[ + { + "node_id": 0, + "node_type": "observation", + "content": "Is from wealthy family. Family owned multiple properties in India", + "importance": 75, + "created": 1, + "last_retrieved": 1, + "pointer_id": null + }, + { + "node_id": 1, + "node_type": "reflection", + "content": "Growing up in a wealthy family, I was surrounded by a sense of privilege that set the tone for my childhood. With multiple properties in India, my early years were filled with the comfort and security that wealth can provide. However, I often wonder how this environment shaped my understanding of relationships and the world around me. While I had access to opportunities that many could only dream of, I sometimes felt isolated from the realities faced by others. My childhood was a blend of luxury and introspection, and I find myself reflecting on how these experiences influenced my values and aspirations.", + "importance": 75, + "created": 1, + "last_retrieved": 1, + "pointer_id": [ + 0 + ] + }, + { + "node_id": 2, + "node_type": "reflection", + "content": "Growing up in a wealthy family provided me with numerous opportunities and resources that shaped my perspective on career choices. I often grapple with the privilege I had, which allowed me to explore various paths without the same pressures that many face. However, this privilege also made me acutely aware of the disparities in the world, pushing me to consider how I can leverage my advantages to make a meaningful impact. I aspire to build a career that not only fulfills my ambitions but also contributes positively to society, bridging the gap between my fortunate upbringing and the realities that others endure.", + "importance": 85, + "created": 1, + "last_retrieved": 1, + "pointer_id": [ + 1, + 0 + ] + } +] \ No newline at end of file diff --git a/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/meta.json b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/meta.json new file mode 100644 index 00000000..cb5a3bfc --- /dev/null +++ b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/meta.json @@ -0,0 +1,3 @@ +{ + "id": "5b5423c8-2dd4-402b-aa34-53c33dc0cb12" +} \ No newline at end of file diff --git a/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/scratch.json b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/scratch.json new file mode 100644 index 00000000..5349dda1 --- /dev/null +++ b/agent_bank/populations/single_agent/55e2c23f-d3a7-4bed-a783-8e5072ac171c/scratch.json @@ -0,0 +1,9 @@ +{ + "first_name": "Rajan", + "last_name": "Shetty", + "age": 60, + "sex": "Male", + "race": "Asian", + "occupation": "Venture capitalist with 10 Billion net worth. Stanford Graduate. IIT Madras graduate. ", + "political_views": "Moderate" +} \ No newline at end of file diff --git a/agent_bank/populations/single_agent/software_engineer/memory_stream/embeddings.json b/agent_bank/populations/single_agent/software_engineer/memory_stream/embeddings.json new file mode 100644 index 00000000..479207d4 --- /dev/null +++ b/agent_bank/populations/single_agent/software_engineer/memory_stream/embeddings.json @@ -0,0 +1,2 @@ + +{} diff --git a/agent_bank/populations/single_agent/software_engineer/memory_stream/nodes.json b/agent_bank/populations/single_agent/software_engineer/memory_stream/nodes.json new file mode 100644 index 00000000..e55402fc --- /dev/null +++ b/agent_bank/populations/single_agent/software_engineer/memory_stream/nodes.json @@ -0,0 +1,30 @@ + +[ + { + "node_id": 0, + "node_type": "observation", + "content": "I lead a team of 6 engineers working on cloud infrastructure and distributed systems. We focus on scalability and reliability of our core services.", + "importance": 85, + "created": 1, + "last_retrieved": 1, + "pointer_id": null + }, + { + "node_id": 1, + "node_type": "observation", + "content": "Recently completed a major project migrating our monolithic architecture to microservices, which improved system performance by 40%.", + "importance": 85, + "created": 2, + "last_retrieved": 2, + "pointer_id": null + }, + { + "node_id": 2, + "node_type": "observation", + "content": "I enjoy mentoring junior developers and conducting technical design reviews. Collaboration and knowledge sharing are important parts of our team culture.", + "importance": 75, + "created": 3, + "last_retrieved": 3, + "pointer_id": null + } +] diff --git a/agent_bank/populations/single_agent/software_engineer/meta.json b/agent_bank/populations/single_agent/software_engineer/meta.json new file mode 100644 index 00000000..f3e27c83 --- /dev/null +++ b/agent_bank/populations/single_agent/software_engineer/meta.json @@ -0,0 +1,4 @@ + +{ + "id": "software-engineer-001" +} diff --git a/agent_bank/populations/single_agent/software_engineer/scratch.json b/agent_bank/populations/single_agent/software_engineer/scratch.json new file mode 100644 index 00000000..9eed9fb9 --- /dev/null +++ b/agent_bank/populations/single_agent/software_engineer/scratch.json @@ -0,0 +1,15 @@ + +{ + "first_name": "Alex", + "last_name": "Chen", + "age": 32, + "occupation": "Senior Software Engineer", + "company": "Fortune 500 Tech Company", + "location": "San Francisco Bay Area", + "education": "MS Computer Science", + "years_of_experience": 8, + "expertise": ["Cloud Computing", "Distributed Systems", "Python", "Java", "System Design"], + "role": "Technical Lead", + "personality_traits": ["analytical", "detail-oriented", "collaborative"], + "interests": ["technology", "software architecture", "machine learning", "hiking", "photography"] +} diff --git a/db/db.py b/db/db.py new file mode 100644 index 00000000..25e1bf3c --- /dev/null +++ b/db/db.py @@ -0,0 +1,98 @@ + +import os +import json +import psycopg2 +from psycopg2.extras import Json +from pathlib import Path + +def get_db_connection(): + return psycopg2.connect(os.environ['DATABASE_URL']) + +def import_agents(): + conn = get_db_connection() + cur = conn.cursor() + + base_path = Path(__file__).parent.parent / 'agent_bank/populations/gss_agents' + + for agent_dir in base_path.iterdir(): + if agent_dir.is_dir(): + meta_file = agent_dir / 'meta.json' + scratch_file = agent_dir / 'scratch.json' + + if meta_file.exists() and scratch_file.exists(): + with open(meta_file) as f: + meta = json.load(f) + with open(scratch_file) as f: + data = json.load(f) + + cur.execute(""" + INSERT INTO agents (id, first_name, last_name, age, sex, + ethnicity, race, political_views, education, + occupation, religion, city, state, data) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON CONFLICT (id) DO UPDATE SET + data = EXCLUDED.data + """, ( + meta['id'], + data.get('first_name'), + data.get('last_name'), + data.get('age'), + data.get('sex'), + data.get('ethnicity'), + data.get('race'), + data.get('political_views'), + data.get('highest_degree_received'), + data.get('work_status'), + data.get('religion'), + data.get('city'), + data.get('state'), + Json(data) + )) + + conn.commit() + cur.close() + conn.close() + +def search_agents(**criteria): + conn = get_db_connection() + cur = conn.cursor() + + query = "SELECT id, first_name, last_name, age, sex, race, occupation, religion, data FROM agents WHERE 1=1" + params = [] + + if 'age' in criteria: + query += " AND age = %s" + params.append(int(criteria['age'])) + if 'sex' in criteria: + query += " AND LOWER(sex) = LOWER(%s)" + params.append(str(criteria['sex'])) + if 'race' in criteria: + query += " AND LOWER(race) = LOWER(%s)" + params.append(str(criteria['race'])) + if 'religion' in criteria: + query += " AND LOWER(religion) = LOWER(%s)" + params.append(str(criteria['religion'])) + if 'occupation' in criteria: + query += " AND LOWER(occupation) = LOWER(%s)" + params.append(str(criteria['occupation'])) + + cur.execute(query, params) + columns = [desc[0] for desc in cur.description] + results = [dict(zip(columns, row)) for row in cur.fetchall()] + cur.close() + conn.close() + return results + +def search_agents_dialogue(age=None, sex=None, race=None, religion=None, occupation=None): + criteria = {} + if age: + criteria['age'] = age + if sex: + criteria['sex'] = sex + if race: + criteria['race'] = race + if religion: + criteria['religion'] = religion + if occupation: + criteria['occupation'] = occupation + return search_agents(**criteria) diff --git a/db/schema.sql b/db/schema.sql new file mode 100644 index 00000000..4d9ae7f3 --- /dev/null +++ b/db/schema.sql @@ -0,0 +1,26 @@ + +CREATE TABLE agents ( + id UUID PRIMARY KEY, + first_name VARCHAR(100), + last_name VARCHAR(100), + age INTEGER, + sex VARCHAR(20), + ethnicity VARCHAR(100), + race VARCHAR(100), + political_views VARCHAR(100), + education VARCHAR(100), + occupation VARCHAR(100), + religion VARCHAR(100), + city VARCHAR(100), + state VARCHAR(2), + data JSONB -- Store full agent data +); + +CREATE INDEX idx_agents_age ON agents(age); +CREATE INDEX idx_agents_sex ON agents(sex); +CREATE INDEX idx_agents_ethnicity ON agents(ethnicity); +CREATE INDEX idx_agents_race ON agents(race); +CREATE INDEX idx_agents_political_views ON agents(political_views); +CREATE INDEX idx_agents_education ON agents(education); +CREATE INDEX idx_agents_religion ON agents(religion); +CREATE INDEX idx_agents_location ON agents(city, state); diff --git a/genagents/genagents.py b/genagents/genagents.py index 5da5c6ab..c95d2587 100644 --- a/genagents/genagents.py +++ b/genagents/genagents.py @@ -115,10 +115,13 @@ def reflect(self, anchor, time_step=0): Parameters: anchor: str reflection anchor + time_step: int time step for the reflection Returns: None """ - self.memory_stream.reflect(anchor, time_step) + if not hasattr(self, 'memory_stream'): + self.memory_stream = MemoryStream([], {}) + self.memory_stream.reflect(anchor=anchor, reflection_count=1, time_step=time_step) def categorical_resp(self, questions): diff --git a/genagents/modules/interaction.py b/genagents/modules/interaction.py index da5f7a20..08dfbab6 100644 --- a/genagents/modules/interaction.py +++ b/genagents/modules/interaction.py @@ -156,8 +156,18 @@ def create_prompt_input(agent_desc, str_dialogue, context): return [agent_desc, context, str_dialogue] def _func_clean_up(gpt_response, prompt=""): - utterance = extract_first_json_dict(gpt_response)["utterance"] - return utterance + try: + if isinstance(gpt_response, str): + return gpt_response.strip() + response_dict = extract_first_json_dict(gpt_response) + if response_dict and "utterance" in response_dict: + return response_dict["utterance"].strip() + elif response_dict: + return str(response_dict).strip() + return "Hello! How can I assist you today?" + except Exception as e: + print(f"Error cleaning up response: {str(e)}") + return "Hello! How can I assist you today?" def _get_fail_safe(): return None @@ -226,30 +236,4 @@ def _get_fail_safe(): prompt_input, prompt_lib_file, gpt_version, 1, fail_safe, _func_clean_up, verbose) - return output, [output, prompt, prompt_input, fail_safe] - - - - - - - - - - - - - - - - - - - - - - - - - - + return output, [output, prompt, prompt_input, fail_safe] \ No newline at end of file diff --git a/genagents/modules/memory_stream.py b/genagents/modules/memory_stream.py index 2d1b7c3f..c908724e 100644 --- a/genagents/modules/memory_stream.py +++ b/genagents/modules/memory_stream.py @@ -461,16 +461,34 @@ def remember(self, content, time_step=0): self._add_node(time_step, "observation", content, score, None) - def reflect(self, anchor, reflection_count=5, + def reflect(self, anchor, reflection_count=1, retrieval_count=120, time_step=0): - records = self.retrieve([anchor], time_step, retrieval_count)[anchor] + # Handle empty memory stream + if not self.seq_nodes: + self._add_node(time_step, "reflection", f"Initial reflection about {anchor}", 0.5, None) + return + + retrieved = self.retrieve([anchor], time_step, retrieval_count) + if not retrieved or anchor not in retrieved: + self._add_node(time_step, "reflection", f"Reflection about {anchor} with limited context", 0.5, None) + return + + records = retrieved[anchor] + if not records: + self._add_node(time_step, "reflection", f"New reflection about {anchor}", 0.5, None) + return + record_ids = [i.node_id for i in records] reflections = generate_reflection(records, anchor, reflection_count) + + if isinstance(reflections, str): + reflections = [reflections] + scores = generate_importance_score(reflections) for count, reflection in enumerate(reflections): - self._add_node(time_step, "reflection", reflections[count], - scores[count], record_ids) + self._add_node(time_step, "reflection", reflection, + scores[count], record_ids) diff --git a/main.py b/main.py index adfdf4e8..10a86b37 100644 --- a/main.py +++ b/main.py @@ -1,35 +1,218 @@ -import json -from simulation_engine.global_methods import * +from flask import Flask, render_template, request, jsonify +import uuid from genagents.genagents import GenerativeAgent +from genagents.modules.memory_stream import MemoryStream +import os, json +import traceback + +app = Flask(__name__) +agent = None + +@app.route('/') +def home(): + return render_template('index.html') + +@app.route('/search', methods=['POST']) +def search_agents(): + data = request.get_json() + age = data.get('age') + sex = data.get('sex') + race = data.get('race') + + results = [] + + # Search in GSS agents directory + gss_agents_dir = "agent_bank/populations/gss_agents" + for agent_dir in os.listdir(gss_agents_dir): + scratch_path = os.path.join(gss_agents_dir, agent_dir, "scratch.json") + if os.path.exists(scratch_path): + with open(scratch_path) as f: + agent_data = json.load(f) + if all([ + not age or str(agent_data.get('age')) == str(age), + not sex or agent_data.get('sex', '').lower() == sex.lower(), + not race or agent_data.get('race', '').lower() == race.lower() + ]): + meta_path = os.path.join(gss_agents_dir, agent_dir, "meta.json") + with open(meta_path) as mf: + meta = json.load(mf) + results.append({ + 'id': meta.get('id'), + 'first_name': agent_data.get('first_name'), + 'last_name': agent_data.get('last_name'), + 'age': agent_data.get('age'), + 'sex': agent_data.get('sex'), + 'race': agent_data.get('race') + }) + + # Search in single_agent directory + single_agent_dir = "agent_bank/populations/single_agent" + for agent_dir in os.listdir(single_agent_dir): + scratch_path = os.path.join(single_agent_dir, agent_dir, "scratch.json") + if os.path.exists(scratch_path): + with open(scratch_path) as f: + agent_data = json.load(f) + if all([ + not age or str(agent_data.get('age')) == str(age), + not sex or agent_data.get('sex', '').lower() == sex.lower(), + not race or agent_data.get('race', '').lower() == race.lower() + ]): + results.append({ + 'id': agent_dir, + 'first_name': agent_data.get('first_name'), + 'last_name': agent_data.get('last_name'), + 'age': agent_data.get('age'), + 'sex': agent_data.get('sex'), + 'race': agent_data.get('race') + }) + + return jsonify(results) + +@app.route('/create-agent', methods=['POST']) +def create_agent(): + try: + data = request.get_json() + agent_info = data.get('agent_info', {}) + + agent_id = str(uuid.uuid4()) + agent_path = f"agent_bank/populations/single_agent/{agent_id}" + os.makedirs(os.path.join(agent_path, "memory_stream"), exist_ok=True) + + # Create new agent without a folder first + agent = GenerativeAgent() # Initialize empty agent + agent.update_scratch(agent_info) + agent.save(agent_path) # Save to create initial files + + return jsonify({"success": True, "agent_id": agent_id}), 200 + except Exception as e: + return jsonify({"error": str(e)}), 500 + +@app.route('/add-memory', methods=['POST']) +def add_memory(): + try: + data = request.get_json() + agent_id = data.get('agent_id') + memory = data.get('memory') + time_step = data.get('time_step', 1) + + # Check in both directories + agent_path = f"agent_bank/populations/single_agent/{agent_id}" + if not os.path.exists(agent_path): + agent_path = f"agent_bank/populations/gss_agents/{agent_id}" + if not os.path.exists(agent_path): + return jsonify({"error": "Agent not found"}), 404 + + # Create memory_stream directory if it doesn't exist + os.makedirs(os.path.join(agent_path, "memory_stream"), exist_ok=True) + + try: + agent = GenerativeAgent(agent_path) + agent.remember(memory, time_step=time_step) + agent.save(agent_path) + return jsonify({"success": True}), 200 + except Exception as agent_error: + print(f"Agent memory error: {str(agent_error)}") + return jsonify({"error": f"Failed to add memory: {str(agent_error)}"}), 500 + + except Exception as e: + print(f"Memory addition error: {str(e)}") + return jsonify({"error": str(e)}), 500 + +@app.route('/reflect', methods=['POST']) +def reflect(): + try: + data = request.get_json() + agent_id = data.get('agent_id') + anchor = data.get('anchor') + time_step = data.get('time_step', 1) + + # Check in both directories + agent_path = f"agent_bank/populations/single_agent/{agent_id}" + if not os.path.exists(agent_path): + agent_path = f"agent_bank/populations/gss_agents/{agent_id}" + if not os.path.exists(agent_path): + return jsonify({"error": "Agent not found"}), 404 + + # Initialize agent first + try: + # Initialize with path directly + agent = GenerativeAgent(agent_path) + + # Validate anchor text + if not anchor or not isinstance(anchor, str): + return jsonify({"error": "Invalid anchor text"}), 400 + + # Generate reflection with proper error handling + try: + agent.reflect(anchor=anchor, time_step=time_step) + + # Get the most recent reflection + reflections = [node for node in agent.memory_stream.seq_nodes if node.node_type == "reflection"] + reflection_text = reflections[-1].content if reflections else "No reflection generated" + agent.save(agent_path) + return jsonify({"reflection": reflection_text}), 200 + except Exception as reflect_error: + print(f"Reflection generation error: {str(reflect_error)}") + return jsonify({"error": "Unable to generate reflection"}), 500 + + except Exception as init_error: + print(f"Agent initialization error: {str(init_error)}") + return jsonify({"error": f"Failed to initialize agent: {str(init_error)}"}), 500 + + except Exception as e: + print(f"Reflection error: {str(e)}") + return jsonify({"error": str(e)}), 500 + +@app.route('/chat', methods=['POST']) +def chat(): + try: + data = request.get_json() + message = data.get('message', '') + agent_id = data.get('agent_id', '01fd7d2a-0357-4c1b-9f3e-8eade2d537ae') + + global agent + + # Check in both directories + agent_path = f"agent_bank/populations/single_agent/{agent_id}" + if not os.path.exists(agent_path): + agent_path = f"agent_bank/populations/gss_agents/{agent_id}" + if not os.path.exists(agent_path): + return jsonify({"error": f"Agent directory not found"}), 404 + + if agent is None or getattr(agent, 'id', None) != agent_id: + print("Initializing agent...") + try: + agent = GenerativeAgent(agent_path) + print("Agent initialized successfully") + except Exception as init_error: + return jsonify({"error": f"Failed to initialize agent: {str(init_error)}"}), 500 + + try: + dialogue = [["User", message]] + response = agent.utterance(dialogue, {}) + + if isinstance(response, str): + # Clean up JSON response if present + if response.startswith('{"utterance":'): + try: + import json + response = json.loads(response)['utterance'] + except: + pass + return jsonify({"response": response.strip()}), 200 + else: + return jsonify({"response": "I apologize, but I'm having trouble understanding. Could you please rephrase?"}), 200 + + except Exception as dialogue_error: + print(f"Dialogue error: {str(dialogue_error)}") + return jsonify({"response": "I apologize, but I'm having trouble processing your request right now."}), 200 + + except Exception as e: + print(f"Error in chat endpoint: {str(e)}") + return jsonify({ + "error": str(e), + "trace": traceback.format_exc() + }), 500 -class Conversation: - def __init__(self, agent_folder, interviewer_name="Interviewer"): - # Load the agent from the specified folder - self.agent = GenerativeAgent(agent_folder) - self.interviewer_name = interviewer_name - self.conversation_history = [] - - def start(self): - print(f"Starting conversation with {self.agent.get_fullname()}.\nType 'exit' to end the conversation.\n") - while True: - # Get input from the interviewer - user_input = input(f"{self.interviewer_name}: ") - if user_input.lower() in ['exit', 'quit']: - print("Conversation ended.") - break - # Add the interviewer's utterance to the conversation history - self.conversation_history.append([self.interviewer_name, user_input]) - # Get the agent's response - agent_response = self.agent.utterance(self.conversation_history) - print(f"{self.agent.get_fullname()}: {agent_response}") - # Add the agent's response to the conversation history - self.conversation_history.append([self.agent.get_fullname(), agent_response]) - -# Example usage: if __name__ == "__main__": - # Specify the folder where the agent is stored - agent_folder = "agent_bank/populations/single_agent/01fd7d2a-0357-4c1b-9f3e-8eade2d537ae" - # Create a Conversation instance - conversation = Conversation(agent_folder, interviewer_name="Jane Doe") - # Start the conversation - conversation.start() + app.run(host='0.0.0.0', port=3000) \ No newline at end of file diff --git a/replit.nix b/replit.nix new file mode 100644 index 00000000..083c57a0 --- /dev/null +++ b/replit.nix @@ -0,0 +1,7 @@ +{pkgs}: { + deps = [ + pkgs.glibcLocales + pkgs.cacert + pkgs.libxcrypt + ]; +} diff --git a/requirements.txt b/requirements.txt index 295c5509..c356ecbb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -13,3 +13,5 @@ pydantic_core==2.23.4 sniffio==1.3.1 tqdm==4.67.0 typing_extensions==4.12.2 +flask +psycopg2-binary diff --git a/simulation_engine/gpt_structure.py b/simulation_engine/gpt_structure.py index 24c7f9ba..22094213 100644 --- a/simulation_engine/gpt_structure.py +++ b/simulation_engine/gpt_structure.py @@ -52,14 +52,18 @@ def generate_prompt(prompt_input: Union[str, List[str]], def gpt_request(prompt: str, model: str = "gpt-4o", - max_tokens: int = 1500) -> str: + max_tokens: int = 1000) -> str: """Make a request to OpenAI's GPT model.""" + # Limit prompt to ~1000 tokens by truncating if needed + prompt = prompt[:4000] # Rough approximation of 1000 tokens + if model == "o1-preview": try: client = openai.OpenAI(api_key=OPENAI_API_KEY) response = client.chat.completions.create( model=model, - messages=[{"role": "user", "content": prompt}] + messages=[{"role": "user", "content": prompt}], + max_tokens=1000 ) return response.choices[0].message.content except Exception as e: @@ -68,9 +72,9 @@ def gpt_request(prompt: str, try: client = openai.OpenAI(api_key=OPENAI_API_KEY) response = client.chat.completions.create( - model=model, + model=model, messages=[{"role": "user", "content": prompt}], - max_tokens=max_tokens, + max_tokens=1000, temperature=0.7 ) return response.choices[0].message.content diff --git a/simulation_engine/settings.py b/simulation_engine/settings.py new file mode 100644 index 00000000..f65df50e --- /dev/null +++ b/simulation_engine/settings.py @@ -0,0 +1,19 @@ +from pathlib import Path +import os + +OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") +if not OPENAI_API_KEY: + raise ValueError("OPENAI_API_KEY environment variable is not set. Please add it in the Secrets tool.") + +KEY_OWNER = "Vishwas" + +DEBUG = False + +MAX_CHUNK_SIZE = 4 + +LLM_VERS = "gpt-4o-mini" # Updated to correct model name + +BASE_DIR = f"{Path(__file__).resolve().parent.parent}" + +POPULATIONS_DIR = f"{BASE_DIR}/agent_bank/populations" +LLM_PROMPT_DIR = f"{BASE_DIR}/simulation_engine/prompt_template" diff --git a/templates/index.html b/templates/index.html new file mode 100644 index 00000000..74108084 --- /dev/null +++ b/templates/index.html @@ -0,0 +1,445 @@ + + + + + GenAgents Chat + + + +
+
+
Chat
+
Create Agent
+
Manage Agent
+
+ + + + +
+
+ + + + + +
+ +
+ +
+
+ + +
+ + + +