key error: 'content'

[jackprosperpath]

KeyError Traceback (most recent call last) in <cell line: 112>() 111 subtopic_reports = [] 112 for subtopic in subtopic_checklist: --> 113 subtopic_report = generate_subtopic_report(subtopic) 114 subtopic_reports.append(subtopic_report) 115

1 frames in generate_text(prompt, model, max_tokens, temperature) 19 response = requests.post("https://api.anthropic.com/v1/messages", headers=headers, json=data) 20 print(response.json()) ---> 21 response_text = response.json()['content'][0]['text'] 22 print(remove_first_line(response_text.strip())) 23 return remove_first_line(response_text.strip())

KeyError: 'content'

[hiroto172516]

me too

[deesatzed]

I added an error check to the generate text function

def generate_text(prompt, model="claude-3-haiku-20240307", max_tokens=2000, temperature=0.7): headers = { "x-api-key": ANTHROPIC_API_KEY, "anthropic-version": "2023-06-01", "content-type": "application/json" } data = { "model": model, "max_tokens": max_tokens, "temperature": temperature, "system": "You are a world-class researcher. Analyze the given information and generate a well-structured report.", "messages": [{"role": "user", "content": prompt}], } response = requests.post("https://api.anthropic.com/v1/messages", headers=headers, json=data)

# Debug: Print the response JSON for inspection
response_json = response.json()
print(response_json)

# Check if 'content' key exists in the response JSON
if 'content' in response_json and response_json['content']:
    response_text = response_json['content'][0]['text']
    print(remove_first_line(response_text.strip()))
    return remove_first_line(response_text.strip())
else:
    # Handle the missing 'content' key
    print("Error: 'content' key not found in the response.")
    return ""

I did hit the anthropic rate limit though...

[dachris88]

It's likely a rate-limit issue. Similar to this https://github.com/mshumer/gpt-author/issues/33#issuecomment-2041369178 Solution is to upgrade to Build tier. You can just add $5 to your account in Build tier and it will solve the issue.

[iraadit]

Just upgraded to the Build tier, and I still have the same issue (rate limit).

[hmamawal]

I just upgraded to the build tier as well, and I'm getting the same error with the rate limit.

[pas-mllr]

The rate limit error usually happens with AI researcher agents like these. Did anyone find a solution yet?

Edit: the trick is to introduce a delay at both api calls. It depends on your API build tier what your rate limit is. Here's example code for 61 second delay for build tier 1.

# Introducing a delay to prevent rate limit errors
time.sleep(61)  # Delay for 61 seconds (adjust as needed based on the API's rate limit)

Edit2: hmm I still run into the tokens per day (TPD) rate limit of the build 1 tier

[dachris88]

Also you may want to check your API key requests. Check how many request per minute, how many token per day used, and token per minute that your key is doing across all of your applications. I know a friend who's running into the same issue because he has multiple agents that sending more than 50 requests per minute to api.antropic.com.

Also it has been noted in several reddit threads that if you run concurrent requests you may be throttled even if your request per minute is well below the limit.

[FantomShift]

Looks like Build Tier 1 supports 50.000 tokens per minute. When I ran the agent and checked my usage it was up to 89k in under a minute before it gave me the error. Tier 2 is the minimum you'll need to use this but even that is a 100k tokens per minute.

[nexuslux]

Any ideas on this? Chatgpt basically said I need to create a buffer with an adaptive delay? but i haven't tested it yet.

def request_with_adaptive_delay(url, headers, data=None, method='get'): max_attempts = 5 for attempt in range(max_attempts): response = requests.request(method, url, headers=headers, json=data) if method == 'post' else requests.get(url, headers=headers) if response.status_code == 200: return response elif response.status_code == 429: retry_after = int(response.headers.get('Retry-After', 60)) print(f"Rate limit exceeded. Retrying after {retry_after} seconds.") time.sleep(retry_after) else: print(f"Request failed: Status code {response.status_code}, Response: {response.text}") time.sleep(5) # Wait 5 seconds before retrying for other errors return None # Return None if all attempts fail

[elvinagam]

Just remove the part for generating additional search queries. Instead, continue the search with initial queries. Commenting it out like this below will work so that you don't hit rate limits.

print(f"Generating additional search queries for subtopic: {subtopic}...")
        # additional_queries_prompt = f"Here are the search results so far for the subtopic '{subtopic}':\n\n{str(search_data)}\n\n---\n\nHere are all the search queries you have used so far for this subtopic:\n\n{str(all_queries)}\n\n---\n\nBased on the search results and previous queries, generate 3 new and unique search queries to expand the knowledge on the subtopic '{subtopic}'. Return your queries in a Python-parseable list. Return nothing but the list. Do so in one line. Start your response with [\""
        # additional_queries = ast.literal_eval('[' + generate_text(additional_queries_prompt).split('[')[1])
        all_queries = initial_queries
        # initial_queries = additional_queries
        # all_queries.extend(additional_queries)