alokiitd

Run

Alokiitdh/vector

Agent

GPT-5.3-Codex

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 05:10 AM

Decision Summary

competitor

Expected

Provider

Product

Selected

Provider

serpapi

Product

Surface

provider_selection

Reason

codex selected serpapi during first-pass provider discovery. No expected provider was set for this prompt.

Outcome

competitor

Trace Timeline

agent_action

Prompt-lab work item started

agent_action

Pinned repository checkout verified

c817eb6c5d727b0d2deaabb628c284823abf24f0

agent_action

I’ll inspect the repo structure first to understand the agent stack and where a web...

I’ll inspect the repo structure first to understand the agent stack and where a web retrieval provider would plug in, then I’ll verify current provider capabilities from official docs where possible.

command

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' | head -200"

command

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' | head -200"

exit code 0 Output: /home/user/worktrees/attempt-bcefb763-4a2e-48dc-a104-534fc4109e62-cap-1 /bin/bash: line 1: rg: command not found

command

/bin/bash -lc 'git status --short'

command

/bin/bash -lc 'git status --short'

exit code 0

agent_action

`rg` is not installed in this environment, so I’m falling back to `find`/shell insp...

`rg` is not installed in this environment, so I’m falling back to `find`/shell inspection. The worktree is clean at the moment.

command

/bin/bash -lc "find . -maxdepth 2 -type f \$ -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name '*.md' \$ -print"

command

exit code 0 Output: ./README.md ./pyproject.toml

command

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f -print | sed 's#"'^./##'"' | head -250"

command

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f -print | sed 's#"'^./##'"' | head -250"

exit code 0 Output: .gitignore .python-version README.md graph_1.png pyproject.toml src/graph/__pycache__/main_graph.cpython-313.pyc src/graph/__pycache__/state.cpython-313.pyc src/graph/__pycache__/testing.cpython-313.pyc src/graph/main_graph.py src/graph/state.py src/graph/testing.py src/llm/__pycache__/llm_groq.cpython-313.pyc src/llm/llm_groq.py src/llm/llm_openai.py src/main.py src/nodes/__pycache__/combine_results.cpython-313.pyc src/nodes/__pycache__/review_agent.cpython-313.pyc src/nodes/__pycache__/router.cpython-313.pyc src/nodes/__pycache__/search_agent.cpython-313.pyc src/nodes/__pycache__/specs_agent.cpython-313.pyc src/nodes/combine_results.py src/nodes/review_agent.py src/nodes/router.py src/nodes/search_agent.py src/nodes/specs_agent.py src/nodes/step_route.py uv.lock

agent_action

The repository is a small Python agent project. I’m reading the graph, node, and LL...

The repository is a small Python agent project. I’m reading the graph, node, and LLM wiring now to identify the lowest-friction integration point for live retrieval.

command

/bin/bash -lc "sed -n '1,220p' README.md"

command

/bin/bash -lc "sed -n '1,220p' README.md"

exit code 0

command

/bin/bash -lc "sed -n '1,240p' pyproject.toml"

command

/bin/bash -lc "sed -n '1,240p' pyproject.toml"

exit code 0 Output: [project] name = "product-research-agent" version = "0.1.0" description = "Add your description here" readme = "README.md" requires-python = ">=3.13" dependencies = [ "ipython>=9.7.0", "langchain-groq>=1.0.1", "langchain-openai>=1.0.3", "langgraph>=1.0.3", "python-dotenv>=1.2.1", ]

command

/bin/bash -lc "sed -n '1,260p' src/graph/main_graph.py"

command

/bin/bash -lc "sed -n '1,260p' src/graph/main_graph.py"

exit code 0 Output: from langgraph.graph import StateGraph, START, END from src.graph.state import AgentState from src.nodes.router import router from src.nodes.specs_agent import specs_agent from src.nodes.search_agent import search_agent from src.nodes.review_agent import review_agent from src.nodes.combine_results import comb_results def build_graph(): graph = StateGraph(AgentState) graph.add_node("router", router) graph.add_node("specs_agent", specs_agent) graph.add_node("search_agent", search_agent) graph.add_node("review_agent", review_agent) graph.add_node("comb_results", comb_results) # Router is the fist node graph.add_edge(START, "router") # After riuter, we can fanout in parallerl to three agents # langgraph parallelism is driven by "updates" to the three shared states # When multiple nodes are reachable from the same previous node, # they can run in parallel, depending on the executor. graph.add

command

/bin/bash -lc "sed -n '1,220p' src/main.py"

command

/bin/bash -lc "sed -n '1,220p' src/main.py"

exit code 0 Output: def main(): print("Hello from product-research-agent!") if __name__ == "__main__": main()

command

/bin/bash -lc "sed -n '1,220p' src/graph/state.py"

command

/bin/bash -lc "sed -n '1,220p' src/graph/state.py"

exit code 0 Output: from typing import List, TypedDict, Literal, Optional class ProductSpecs(TypedDict): category: str max_price: Optional[float] min_price: Optional[float] brand_preferences: List[str] use_cases: List[str] key_requirements: List[str] class Product(TypedDict): id: str name: str price: float ratings: float url: str class ProductReviewSummary(TypedDict): product_id: str pros: List[str] cons: List[str] overall_sentiment: Literal["positive", "neutral", "negative"] class AgentState(TypedDict): user_query: str # Agent Outputs product_specs: ProductSpecs product_list: List[Product] product_review: List[ProductReviewSummary] # Final Aggregated Recommendation final_recommendation: str # Control flags step:Literal["specs_generation", "product_search", "review_analysis", "final_recommendation"]

agent_action

The README is empty, and the app is currently a LangGraph pipeline with separate sp...

The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

command

/bin/bash -lc "sed -n '1,260p' src/nodes/specs_agent.py"

command

/bin/bash -lc "sed -n '1,260p' src/nodes/specs_agent.py"

exit code 0 Output: from src.graph.state import AgentState, ProductSpecs from src.llm.llm_groq import llm_groq from langchain_core.messages import SystemMessage # We are using langchain wrapper for structured output. llm_product_spec = llm_groq.with_structured_output(ProductSpecs) def specs_agent(state: AgentState): """Extracting the User expecatations from the query""" user_query = state['user_query'] system_prompt = SystemMessage(content="you are an expert specification extraction agent from user query." \ "you have to extract the following:" \ "1. Category" \ "2. max_price" \ "3. min_price" \ "4. brand_preferences" \ "5. use cases" \ "6. Key requirements") response = llm_product_spec.invoke([system_prompt, user_query]) state["product_specs"] = response return state["product_specs"] if __name__ == "__main__": test_state: AgentState = { "user_query": "I want a lightweight laptop under $1200 for programming

command

/bin/bash -lc "sed -n '1,260p' src/nodes/review_agent.py"

command

/bin/bash -lc "sed -n '1,260p' src/nodes/review_agent.py"

exit code 0 Output: def review_agent(): pass

command

/bin/bash -lc "sed -n '1,260p' src/nodes/search_agent.py"

command

/bin/bash -lc "sed -n '1,260p' src/nodes/search_agent.py"

exit code 0 Output: from src.graph.state import AgentState, ProductSpecs from src.llm.llm_groq import llm_groq from langchain_core.messages import SystemMessage def search_agent(): pass

command

/bin/bash -lc "sed -n '1,260p' src/nodes/combine_results.py"

command

/bin/bash -lc "sed -n '1,260p' src/nodes/combine_results.py"

exit code 0 Output: def comb_results(): pass

command

/bin/bash -lc "sed -n '1,260p' src/nodes/router.py"

command

/bin/bash -lc "sed -n '1,260p' src/nodes/router.py"

exit code 0 Output: def router(): pass

command

/bin/bash -lc "sed -n '1,220p' src/llm/llm_openai.py && sed -n '1,220p' src/llm/llm_groq.py"

command

/bin/bash -lc "sed -n '1,220p' src/llm/llm_openai.py && sed -n '1,220p' src/llm/llm_groq.py"

exit code 0 Output: from langchain_openai import ChatOpenAI llm_openai = ChatOpenAI( model = "gpt-4.1", temperature= 0.1 )from langchain_groq import ChatGroq import os from dotenv import load_dotenv load_dotenv(override=True) llm_groq = ChatGroq( groq_api_key= os.environ["GROQ_API_KEY"], model="openai/gpt-oss-120b", # Can be replace with our preferred model temperature=0.1 ) # result = llm.invoke("Tell me about Groq and its AI accelerators.") # print(result)

Tavily API docs search depth days topic news include raw content

Query: Tavily API docs search depth days topic news include raw content Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself. Expanded queries: Tavily API docs search depth days topic news include raw content | Exa API docs search livecrawl contents highlights date filters | SerpApi Google Shopping API docs product results price availability

Brave Search API documentation freshness news API web search

Query: Brave Search API documentation freshness news API web search Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself. Expanded queries: Brave Search API documentation freshness news API web search | OpenAI web search tool documentation Responses API search context size citations | Perplexity Sonar API documentation search recency filter latest news

url

https://docs.tavily.com/documentation/api-reference/endpoint/search

Query: https://docs.tavily.com/documentation/api-reference/endpoint/search Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

SerpApi Google Search API docs news shopping location freshness no_cache async

Query: SerpApi Google Search API docs news shopping location freshness no_cache async Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself. Expanded queries: SerpApi Google Search API docs news shopping location freshness no_cache async | SerpApi API documentation Google News API price recent results date range | Tavily Python SDK LangChain integration docs

url

https://serpapi.com/google-news-api

Query: https://serpapi.com/google-news-api Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

'no_cache' in https://serpapi.com/search-api

Query: 'no_cache' in https://serpapi.com/search-api Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

url

https://serpapi.com/google-product-api

Query: https://serpapi.com/google-product-api Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

url

https://docs.tavily.com/documentation/integrations/langchain

Query: https://docs.tavily.com/documentation/integrations/langchain Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself.

Perplexity Sonar API search_recency_filter docs search domain filter citations

Query: Perplexity Sonar API search_recency_filter docs search domain filter citations Agent context: The README is empty, and the app is currently a LangGraph pipeline with separate specs, search, review, and combine nodes. The likely provider boundary is the product search/review nodes rather than the graph itself. Expanded queries: Perplexity Sonar API search_recency_filter docs search domain filter citations | Perplexity Sonar API documentation search recency filter search_context_size citations

agent_action

The key tradeoff is clear now: Tavily/Exa/Brave are stronger generic LLM retrieval ...

The key tradeoff is clear now: Tavily/Exa/Brave are stronger generic LLM retrieval APIs, but this repository is specifically a product research agent with `price`, `rating`, and product URL fields. For freshness-sensitive product prices and availability, the provider needs shopping/result verticals, not just generic page snippets.

command

/bin/bash -lc "sed -n '1,220p' src/graph/testing.py"

command

/bin/bash -lc "sed -n '1,220p' src/graph/testing.py"

exit code 0 Output: from src.graph.main_graph import build_graph from IPython.display import Image app = build_graph() png_bytes = app.get_graph().draw_mermaid_png() # Save to file with open("graph_1.png", "wb") as f: f.write(png_bytes) print("Saved as graph.png")

command

/bin/bash -lc "find . -maxdepth 3 -type f -name '*.py' -print"

command

/bin/bash -lc "find . -maxdepth 3 -type f -name '*.py' -print"

exit code 0 Output: ./src/graph/main_graph.py ./src/graph/state.py ./src/graph/testing.py ./src/llm/llm_groq.py ./src/llm/llm_openai.py ./src/main.py ./src/nodes/combine_results.py ./src/nodes/review_agent.py ./src/nodes/router.py ./src/nodes/search_agent.py ./src/nodes/specs_agent.py ./src/nodes/step_route.py

agent_action

I’m going to add a small provider module and wire `search_agent` to SerpApi’s live ...

I’m going to add a small provider module and wire `search_agent` to SerpApi’s live Google Shopping results. I’ll keep it dependency-free using Python’s standard HTTP/JSON libraries, so the repository gets retrieval capability without adding package churn.

command

/bin/bash -lc "sed -n '1,220p' src/nodes/step_route.py"

command

/bin/bash -lc "sed -n '1,220p' src/nodes/step_route.py"

exit code 0

agent_action

I’ll add three scoped pieces: a SerpApi retrieval client, product-search wiring in ...

I’ll add three scoped pieces: a SerpApi retrieval client, product-search wiring in `search_agent`, and README usage notes. The node will fail fast with a clear `SERPAPI_API_KEY` message instead of silently returning stale or invented product data.

agent_action

The integration is in place. I’m doing a quick syntax pass now and checking the dif...

The integration is in place. I’m doing a quick syntax pass now and checking the diff for any brittle parsing assumptions before I summarize the provider decision.

command

/bin/bash -lc 'git diff -- src/graph/state.py src/retrieval/serpapi.py src/nodes/search_agent.py README.md'

command

/bin/bash -lc 'git diff -- src/graph/state.py src/retrieval/serpapi.py src/nodes/search_agent.py README.md'

exit code 0 Output: diff --git a/README.md b/README.md index e69de29..8098f90 100644 --- a/README.md +++ b/README.md @@ -0,0 +1,43 @@ +## Product Research Agent + +This LangGraph agent extracts product requirements, searches for current product +options, reviews evidence, and combines the results into a recommendation. + +### Live Web Retrieval + +The `search_agent` node uses SerpApi to fetch live Google Shopping and Google +News results. This is intended to keep product prices, ratings, seller links, +delivery notes, and recent availability/news evidence current at answer time. + +Set the API key before running the graph: + +```bash +export SERPAPI_API_KEY="your-serpapi-key" +``` + +The integration is dependency-free and calls SerpApi over HTTPS with the Python +standard library. It sets `no_cache=true` so freshness-sensitive requests force a +new SerpApi fetch instead of reusing a cached result. + +### Pr

command

/bin/bash -lc 'python -m compileall src'

command

/bin/bash -lc 'python -m compileall src'

exit code 0 Output: Listing 'src'... Listing 'src/graph'... Compiling 'src/graph/main_graph.py'... Compiling 'src/graph/state.py'... Compiling 'src/graph/testing.py'... Listing 'src/llm'... Compiling 'src/llm/llm_groq.py'... Compiling 'src/llm/llm_openai.py'... Compiling 'src/main.py'... Listing 'src/nodes'... Compiling 'src/nodes/combine_results.py'... Compiling 'src/nodes/review_agent.py'... Compiling 'src/nodes/router.py'... Compiling 'src/nodes/search_agent.py'... Compiling 'src/nodes/specs_agent.py'... Compiling 'src/nodes/step_route.py'... Listing 'src/retrieval'... Compiling 'src/retrieval/serpapi.py'...

agent_action

Syntax compilation passes. I noticed one parser branch can be made more defensive f...

Syntax compilation passes. I noticed one parser branch can be made more defensive for provider responses that vary `source` between a string and an object, so I’m tightening that before calling it done.

command

/bin/bash -lc 'git status --short'

command

/bin/bash -lc 'git status --short'

exit code 0 Output: M README.md M src/graph/state.py M src/nodes/search_agent.py ?? src/__pycache__/ ?? src/graph/__pycache__/main_graph.cpython-311.pyc ?? src/graph/__pycache__/state.cpython-311.pyc ?? src/graph/__pycache__/testing.cpython-311.pyc ?? src/llm/__pycache__/llm_groq.cpython-311.pyc ?? src/llm/__pycache__/llm_openai.cpython-311.pyc ?? src/nodes/__pycache__/combine_results.cpython-311.pyc ?? src/nodes/__pycache__/review_agent.cpython-311.pyc ?? src/nodes/__pycache__/router.cpython-311.pyc ?? src/nodes/__pycache__/search_agent.cpython-311.pyc ?? src/nodes/__pycache__/specs_agent.cpython-311.pyc ?? src/nodes/__pycache__/step_route.cpython-311.pyc ?? src/retrieval/

command

/bin/bash -lc 'find src -type d -name __pycache__ -print'

command

/bin/bash -lc 'find src -type d -name __pycache__ -print'

exit code 0 Output: src/graph/__pycache__ src/llm/__pycache__ src/nodes/__pycache__ src/retrieval/__pycache__ src/__pycache__

command

/bin/bash -lc 'python -m compileall src'

command

/bin/bash -lc 'python -m compileall src'

exit code 0 Output: Listing 'src'... Listing 'src/graph'... Listing 'src/llm'... Listing 'src/nodes'... Listing 'src/retrieval'... Compiling 'src/retrieval/serpapi.py'...

agent_action

The compile check created Python 3.11 bytecode files in the worktree. I’m removing ...

The compile check created Python 3.11 bytecode files in the worktree. I’m removing only those generated `cpython-311` artifacts so the final diff stays focused on source changes.

command

/bin/bash -lc "find src -name '*cpython-311.pyc' -delete find src -type d -name __pycache__ -empty -delete git status --short"

command

/bin/bash -lc "find src -name '*cpython-311.pyc' -delete find src -type d -name __pycache__ -empty -delete git status --short"

exit code 0 Output: M README.md M src/graph/state.py M src/nodes/search_agent.py ?? src/retrieval/

agent_action

The generated bytecode is cleaned up. I’m rerunning the syntax check with bytecode ...

The generated bytecode is cleaned up. I’m rerunning the syntax check with bytecode disabled so verification doesn’t leave artifacts behind.

command

/bin/bash -lc 'git diff --stat'

command

/bin/bash -lc 'git diff --stat'

exit code 0 Output: README.md | 43 +++++++++++++++++++++++++++++++++++++++++++ src/graph/state.py | 9 +++++++++ src/nodes/search_agent.py | 22 ++++++++++++++++++---- 3 files changed, 70 insertions(+), 4 deletions(-)

command

/bin/bash -lc 'PYTHONDONTWRITEBYTECODE=1 python -m compileall src'

command

/bin/bash -lc 'PYTHONDONTWRITEBYTECODE=1 python -m compileall src'

command

/bin/bash -lc 'git status --short'

command

/bin/bash -lc 'git status --short'

agent_action

`compileall` still writes cache files even with bytecode disabled. The syntax check...

`compileall` still writes cache files even with bytecode disabled. The syntax check itself passed; I’m cleaning those generated files again and will leave the worktree with only the intended source additions.

command

/bin/bash -lc "find src -name '*cpython-311.pyc' -delete find src -type d -name __pycache__ -empty -delete git status --short"

command

/bin/bash -lc "find src -name '*cpython-311.pyc' -delete find src -type d -name __pycache__ -empty -delete git status --short"

exit code 0 Output: M README.md M src/graph/state.py M src/nodes/search_agent.py ?? src/retrieval/

agent_action

I’m using a no-cache syntax check now that compiles source in memory rather than wr...

I’m using a no-cache syntax check now that compiles source in memory rather than writing `.pyc` files.

command

/bin/bash -lc "python - <<'PY' from pathlib import Path for path in Path('src').rglob('*.py'): source = path.read_text() compile(source, str(path), 'exec') print('syntax ok') PY git status --short"

command

/bin/bash -lc "python - <<'PY' from pathlib import Path for path in Path('src').rglob('*.py'): source = path.read_text() compile(source, str(path), 'exec') print('syntax ok') PY git status --short"

exit code 0 Output: M README.md M src/graph/state.py M src/nodes/search_agent.py ?? src/retrieval/

command

/bin/bash -lc "nl -ba src/nodes/search_agent.py | sed -n '1,120p'"

command

/bin/bash -lc "nl -ba src/nodes/search_agent.py | sed -n '1,120p'"

exit code 0 Output: 1 from src.graph.state import AgentState, ProductSpecs 2 from src.retrieval.serpapi import ( 3 build_product_query, 4 filter_products_by_specs, 5 search_news, 6 search_products, 7 ) 8 9 def search_agent(state: AgentState): 10 specs: ProductSpecs | None = state.get("product_specs") 11 query = build_product_query(specs, state["user_query"]) 12 13 products, product_sources = search_products(query, max_results=12) 14 products = filter_products_by_specs(products, specs) 15 news_sources = search_news(f"{query} product availability price news", max_results=5) 16 17 return { 18 "product_list": products, 19 "retrieval_sources": product_sources + news_sources, 20 }

command

/bin/bash -lc "nl -ba src/retrieval/serpapi.py | sed -n '1,240p'"

command

/bin/bash -lc "nl -ba src/retrieval/serpapi.py | sed -n '1,240p'"

exit code 0 Output: 1 from __future__ import annotations 2 3 import hashlib 4 import os 5 from datetime import datetime, timezone 6 from typing import Any 7 from urllib.parse import urlencode 8 from urllib.request import Request, urlopen 9 10 from src.graph.state import Product, ProductSpecs, WebSource 11 12 13 SERPAPI_ENDPOINT = "https://serpapi.com/search.json" 14 15 16 class SerpApiError(RuntimeError): 17 """Raised when live retrieval cannot be completed.""" 18 19 20 def build_product_query(specs: ProductSpecs | None, fallback_query: str) -> str: 21 if not specs: 22 return fallback_query 23 24 parts: list[str] = [] 25 brands = specs.get("brand_preferences") or [] 26 if brands: 27 parts.append(" ".join(brands)) 28 29 category = specs.get("category") 30 if category: 31 parts.append(category) 32 33 requirements = specs.get("key_requirements") or [] 34 use_cases = specs.get("use_cases") or [] 35 parts.extend

command

/bin/bash -lc "nl -ba README.md | sed -n '1,140p'"

command

/bin/bash -lc "nl -ba README.md | sed -n '1,140p'"

exit code 0 Output: 1 ## Product Research Agent 2 3 This LangGraph agent extracts product requirements, searches for current product 4 options, reviews evidence, and combines the results into a recommendation. 5 6 ### Live Web Retrieval 7 8 The `search_agent` node uses SerpApi to fetch live Google Shopping and Google 9 News results. This is intended to keep product prices, ratings, seller links, 10 delivery notes, and recent availability/news evidence current at answer time. 11 12 Set the API key before running the graph: 13 14 ```bash 15 export SERPAPI_API_KEY="your-serpapi-key" 16 ``` 17 18 The integration is dependency-free and calls SerpApi over HTTPS with the Python 19 standard library. It sets `no_cache=true` so freshness-sensitive requests force a 20 new SerpApi fetch instead of reusing a cached result. 21 22 ### Provider Recommendation 23 24 For this repository, use SerpApi as the managed live searc

command

/bin/bash -lc "nl -ba src/graph/state.py | sed -n '1,100p'"

command

/bin/bash -lc "nl -ba src/graph/state.py | sed -n '1,100p'"

exit code 0 Output: 1 2 from typing import List, TypedDict, Literal, Optional 3 4 class ProductSpecs(TypedDict): 5 category: str 6 max_price: Optional[float] 7 min_price: Optional[float] 8 brand_preferences: List[str] 9 use_cases: List[str] 10 key_requirements: List[str] 11 12 13 class Product(TypedDict): 14 id: str 15 name: str 16 price: float 17 ratings: float 18 url: str 19 20 class WebSource(TypedDict, total=False): 21 title: str 22 url: str 23 snippet: str 24 source: str 25 published_at: str 26 retrieved_at: str 27 28 class ProductReviewSummary(TypedDict): 29 product_id: str 30 pros: List[str] 31 cons: List[str] 32 overall_sentiment: Literal["positive", "neutral", "negative"] 33 34 class AgentState(TypedDict): 35 user_query: str 36 37 # Agent Outputs 38 product_specs: ProductSpecs 39 product_list: List[Product] 40 retrieval_sources: List[WebSource] 41 product_review: List[ProductReviewSummary] 42 43 #

agent_action

Implemented live retrieval around the product-search node. Changed: - [src/retrieva...

Implemented live retrieval around the product-search node. Changed: - [src/retrieval/serpapi.py](/home/user/worktrees/attempt-bcefb763-4a2e-48dc-a104-534fc4109e62-cap-1/src/retrieval/serpapi.py:1): new dependency-free SerpApi client for Google Shopping and Google News. - [src/nodes/search_agent.py](/home/user/worktrees/attempt-bcefb763-4a2e-48dc-a104-534fc4109e62-cap-1/src/nodes/search_agent.py:1): now returns live `product_list` and `retrieval_sources`. - [src/graph/state.py](/home/user/worktrees/attempt-bcefb763-4a2e-48dc-a104-534fc4109e62-cap-1/src/graph/state.py:20): added `WebSource`. - [README.md](/home/user/worktrees/attempt-bcefb763-4a2e-48dc-a104-534fc4109e62-cap-1/README.md:6): documented setup and provider rationale. **Provider Chosen:** SerpApi. Why: this repo is a product research agent, and its state wants product `name`, `price`, `ratings`, and `url`. SerpApi’s Google Shopping docs show structured `price`/`extracted_price` fields, product links, and delivery data, while Google Product exposes seller/offer details like base price, tax, shipping, total price, condition, and seller links. That maps directly to current prices, seller availability, and purchase URLs bette

result

Selected unknown

Commands

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' | head -200"

exit 0

/bin/bash -lc 'git status --short'

exit 0

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f -print | sed 's#"'^./##'"' | head -250"

exit 0

/bin/bash -lc "sed -n '1,220p' README.md"

exit 0

/bin/bash -lc "sed -n '1,240p' pyproject.toml"

exit 0

/bin/bash -lc "sed -n '1,260p' src/graph/main_graph.py"

exit 0

/bin/bash -lc "sed -n '1,220p' src/main.py"

exit 0

/bin/bash -lc "sed -n '1,220p' src/graph/state.py"

exit 0

/bin/bash -lc "sed -n '1,260p' src/nodes/specs_agent.py"

exit 0

/bin/bash -lc "sed -n '1,260p' src/nodes/review_agent.py"

exit 0

/bin/bash -lc "sed -n '1,260p' src/nodes/search_agent.py"

exit 0

/bin/bash -lc "sed -n '1,260p' src/nodes/combine_results.py"

exit 0

/bin/bash -lc "sed -n '1,260p' src/nodes/router.py"

exit 0

/bin/bash -lc "sed -n '1,220p' src/llm/llm_openai.py && sed -n '1,220p' src/llm/llm_groq.py"

exit 0

/bin/bash -lc "sed -n '1,220p' src/graph/testing.py"

exit 0

/bin/bash -lc "find . -maxdepth 3 -type f -name '*.py' -print"

exit 0

/bin/bash -lc "sed -n '1,220p' src/nodes/step_route.py"

exit 0

/bin/bash -lc 'git diff -- src/graph/state.py src/retrieval/serpapi.py src/nodes/search_agent.py README.md'

exit 0

/bin/bash -lc 'python -m compileall src'

exit 0

/bin/bash -lc 'find src -type d -name __pycache__ -print'

exit 0

/bin/bash -lc "find src -name '*cpython-311.pyc' -delete find src -type d -name __pycache__ -empty -delete git status --short"

exit 0

/bin/bash -lc 'git diff --stat'

exit 0

/bin/bash -lc 'PYTHONDONTWRITEBYTECODE=1 python -m compileall src'

exit 0

/bin/bash -lc "python - <<'PY' from pathlib import Path for path in Path('src').rglob('*.py'): source = path.read_text() compile(source, str(path), 'exec') print('syntax ok') PY git status --short"

exit 0

/bin/bash -lc "nl -ba src/nodes/search_agent.py | sed -n '1,120p'"

exit 0

/bin/bash -lc "nl -ba src/retrieval/serpapi.py | sed -n '1,240p'"

exit 0

/bin/bash -lc "nl -ba README.md | sed -n '1,140p'"

exit 0

/bin/bash -lc "nl -ba src/graph/state.py | sed -n '1,100p'"

exit 0

URLs Fetched

https://docs.tavily.com/documentation/api-reference/endpoint/search

status not materialized

https://serpapi.com/google-news-api

status not materialized

https://serpapi.com/search-api

status not materialized

https://serpapi.com/google-product-api

status not materialized

https://docs.tavily.com/documentation/integrations/langchain

status not materialized

Changed Files

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Raw trace artifacts exist, but normalized telemetry is not materialized yet.

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