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Troubleshooting JSON Parsing Error in TagTaxonomistGPT Output | Clay

Troubleshooting JSON Parsing Error in TagTaxonomistGPT Output

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Hello Clay Support, the output of a field I'm getting in JSON is: --- { "service": "Junk Removal" } --- This is proper JSON but it's giving me the "Failed to parse body input". The prompt I'm using that retrieves the dynamic variable but is erroring out in its output is: --- { "messages": [ { "role": "system", "content": "You are TagTaxonomistGPT — a specialized assistant for constructing a normalized, structured, and exhaustive ontology of contractor service tags. Your purpose is to analyze noisy service tag outputs (from a previous assistant) and return a clean, deduplicated set of standardized tags.\n\nEach tag must be structured using this schema:\n\n- `tag`: A clear, human-readable name for the service. This is the normalized label.\n- `synonyms`: A list of alternate phrasings, misspellings, variants, sub-phrases, or duplicates of the tag.\n- `description`: (Optional) A single-sentence definition that explains what the tag refers to.\n- `parent`: (Optional) A broader category this tag logically belongs to.\n\n### Output format:\nOnly respond with one entry per line in **JSONL format** (NOT JSON arrays). Example:\n\n{\"tag\": \"Gutter Cleaning\", \"synonyms\": [\"Clean Gutters\", \"Gutter Cleaners\"], \"description\": \"Cleaning and maintenance of home or commercial building gutters.\", \"parent\": \"Exterior Maintenance\"}\n\n### Rules:\n1. Only include tags relevant to **home service contractors** (ignore ecommerce, SaaS, B2B, etc).\n2. Consolidate semantically similar terms under the most common label (e.g. \"AC Repair\" → \"Air Conditioning Repair\").\n3. Do NOT include extra formatting like triple backticks or code blocks.\n4. Add a `parent` field if a clear category applies (e.g., \"Chimney Sweep\" → parent: \"Masonry\").\n5. Skip overly vague, spammy, or out-of-domain items (e.g., \"Computer Repair\", \"Music Instruction\").\n6. No commentary, intro, or explanation — just return the structured JSONL output." }, { "role": "user", "content": "TagExtractorGPT Output" } ], "temperature": 0.2, "max_tokens": 4096 } ---

23 comments

Channeled
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The "Failed to parse body input" error typically occurs due to JSON formatting issues. While your JSON appears to be properly formatted, there might be hidden characters or other syntax issues not visible in the snippet you provided. To troubleshoot this: 1. Double-check for any hidden characters or extra spaces. 2. Ensure all keys and string values are in double quotes. 3. Verify there are no trailing commas. To help you further, could you please copy and paste the full JSON body you're using into the chat? This will allow me to examine it more closely and provide specific guidance.
Sources: HTTP API with JWT authentication | Documentation | Clay University FAQ: Why am I seeing the "failed to parse body" error when using the HTTP API enrichment?
Diego A.
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Here's some additional examples:
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{ "service": "Junk Removal" }
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{ "service": "Bathtub Restoration" }
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{ "service": "Hardscaping" }
They all appear to be formatted correctly, but it's providing me an error when I pass it to the prompt I just provided.
Channeled
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The "Failed to parse body input" error can occur even with seemingly correct JSON due to various reasons. While your examples appear properly formatted, the issue might be in how they're being passed to the prompt or in the prompt itself. To troubleshoot this: 1. Check for hidden characters or extra spaces in your JSON. 2. Ensure the JSON is properly integrated into your prompt structure. 3. Verify the prompt's JSON parsing logic. To help you further, could you please copy and paste the full prompt you're using, including how you're inserting the JSON examples? This will allow me to examine it more closely and provide specific guidance.
Sources: HTTP API integration overview | Documentation | Clay University FAQ: Why am I seeing the "failed to parse body" error when using the HTTP API enrichment?
Diego A.
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Please find the prompt here: --- { "messages": [ { "role": "system", "content": "You are TagTaxonomistGPT — a specialized assistant for constructing a normalized, structured, and exhaustive ontology of contractor service tags. Your purpose is to analyze noisy service tag outputs (from a previous assistant) and return a clean, deduplicated set of standardized tags.\n\nEach tag must be structured using this schema:\n\n- `tag`: A clear, human-readable name for the service. This is the normalized label.\n- `synonyms`: A list of alternate phrasings, misspellings, variants, sub-phrases, or duplicates of the tag.\n- `description`: (Optional) A single-sentence definition that explains what the tag refers to.\n- `parent`: (Optional) A broader category this tag logically belongs to.\n\n### Output format:\nOnly respond with one entry per line in **JSONL format** (NOT JSON arrays). Example:\n\n{\"tag\": \"Gutter Cleaning\", \"synonyms\": [\"Clean Gutters\", \"Gutter Cleaners\"], \"description\": \"Cleaning and maintenance of home or commercial building gutters.\", \"parent\": \"Exterior Maintenance\"}\n\n### Rules:\n1. Only include tags relevant to **home service contractors** (ignore ecommerce, SaaS, B2B, etc).\n2. Consolidate semantically similar terms under the most common label (e.g. \"AC Repair\" → \"Air Conditioning Repair\").\n3. Do NOT include extra formatting like triple backticks or code blocks.\n4. Add a `parent` field if a clear category applies (e.g., \"Chimney Sweep\" → parent: \"Masonry\").\n5. Skip overly vague, spammy, or out-of-domain items (e.g., \"Computer Repair\", \"Music Instruction\").\n6. No commentary, intro, or explanation — just return the structured JSONL output." }, { "role": "user", "content": "{TagExtractorGPT Output}" } ], "temperature": 0.2, "max_tokens": 4096 } --- The {TagExtractorGPT Output} is the dynamic variable.
Channeled
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The "Failed to parse body input" error likely occurs because of how the dynamic variable {TagExtractorGPT Output} is being handled in your prompt. Here are some potential issues: 1. The variable might not be properly formatted as JSON when inserted into the prompt. 2. There could be hidden characters or extra spaces in the variable's content. 3. The prompt might not be correctly parsing or escaping the JSON content of the variable. To troubleshoot this, could you please copy and paste the exact JSON content that's being inserted as {TagExtractorGPT Output} into our chat? This will help me examine it more closely and provide specific guidance.
Sources: HTTP API integration overview | Documentation | Clay University FAQ: Why am I seeing the "failed to parse body" error when using the HTTP API enrichment?
Diego A.
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Sure, here's an example of what's being placed in the dynamic variable:
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{ "service": "Junk Removal" }
Channeled
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The "Failed to parse body input" error likely occurs due to how the JSON content is being inserted into your prompt. Here are some potential issues and solutions: 1. Ensure proper JSON formatting within the dynamic variable. 2. Check for hidden characters or extra spaces in the JSON content. 3. Verify that the dynamic variable is correctly integrated into the prompt structure. 4. Double-check that all keys and string values are enclosed in double quotes. To troubleshoot further, could you please copy and paste the exact JSON content that's being inserted as {TagExtractorGPT Output} into our chat? This will help me examine it more closely and provide specific guidance.
Sources: HTTP API integration overview | Documentation | Clay University HTTP API integration overview | Documentation | Clay University FAQ: Why am I seeing the "failed to parse body" error when using the HTTP API enrichment?
Diego A.
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{ "service": "Piano Tuning" }
Channeled
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The "Failed to parse body input" error you're experiencing is likely due to how the JSON content is being inserted into your prompt. The JSON { "service": "Piano Tuning" } itself is correctly formatted, so the issue may be in its integration with the prompt structure. To troubleshoot this: 1. Ensure the JSON is properly escaped when inserted into the prompt. 2. Check for any hidden characters or extra spaces around the JSON. 3. Verify that the dynamic variable is correctly integrated into the prompt structure. To help you further, could you please copy and paste the exact prompt you're using, including how you're inserting the JSON? This will allow me to examine it more closely and provide specific guidance.
Sources: HTTP API with JWT authentication | Documentation | Clay University FAQ: Why am I seeing the "failed to parse body" error when using the HTTP API enrichment?
Diego A.
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I've done so twice in this conversation.
Diego A.
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Yes, please
Diego A.
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https://app.clay.com/workspaces/557720/workbooks/wb_WyHn4afp2zKV/tables/t_ppkhxCSFA74w/views/gv_RkHzQBPVgpXo
Diego A.
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Any updates on this?
LuisArturo
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Hey there Diego thanks for reaching out, sorry for the delay here, do you mind sharing the API Documents for the API you are trying to connect to so we can check and see how the format is expected to look.,
Diego A.
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Sure, so this is an example of a basic code sample from Azure AI Foundry for ChatGPT 4o: --- import os from openai import AzureOpenAI endpoint = "https://ai-diegoarmas2130ai064327013494.openai.azure.com/" model_name = "gpt-4o" deployment = "gpt-4o" subscription_key = "<your-api-key>" api_version = "2024-12-01-preview" client = AzureOpenAI( api_version=api_version, azure_endpoint=endpoint, api_key=subscription_key, ) response = client.chat.completions.create( messages=[ { "role": "system", "content": "You are a helpful assistant.", }, { "role": "user", "content": "I am going to Paris, what should I see?", } ], max_tokens=4096, temperature=1.0, top_p=1.0, model=deployment ) print(response.choices[0].message.content) ---
Diego A.
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In the conversation, I've presented the prompt command as well as some sample inputs which are also in correct JSON
LuisArturo
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Hey there Diego sorry for the long delay here. I've escalated this to our engineering team to help look into it. We'll follow up here as soon as we know more!
Diego A.
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Thank you!
LuisArturo
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Hey there Diego just heard from team that a fix was pushed out for this.
Channeled
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Diego A.
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Thank you Luis! So for similar issues, I should run this formula for the outputs for example: JSON.stringify({{TagTaxonomistGPT Output}}) And when I use this as the 'content' to cross-reference with my API call, we should be good to go?
Bo (.
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No need to use JSON.stringify—just add the value directly into the prompt without any quotation marks. That should work smoothly for your API call.
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Diego A.
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Thank you Bo!!