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Remove GitHub Models ahead of its retirement
GitHub Models is being fully retired on July 30, 2026 -- the playground, model catalogue, inference API and BYOK endpoints all go away, and it has already been closed to new customers since June 16, 2026. It is no longer a free API anyone can sign up for, so it does not belong in this list. Removes the section, the fetch_github_models scraper and its wiring. Reimplements #347 in src/pull_available_models.py: the original patch edited the generated README.md directly, so the next scheduled run would have reverted it. https://github.blog/changelog/2026-07-01-github-models-is-being-fully-retired-on-july-30-2026/ Closes #347
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Erdi authored and Jun Siang Cheah committed
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@@ -23,7 +23,6 @@ This lists various services that provide free access or credits towards API-base
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- [Cerebras](#cerebras)
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- [Groq](#groq)
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- [Cohere](#cohere)
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- [GitHub Models](#github-models)
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- [Cloudflare Workers AI](#cloudflare-workers-ai)
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- [Providers with trial credits](#providers-with-trial-credits)
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- [Fireworks](#fireworks)
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@@ -197,50 +196,6 @@ Models share a common monthly quota.
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- command-r7b-12-2024
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- command-r7b-arabic-02-2025
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### [GitHub Models](https://github.com/marketplace/models)
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Extremely restrictive input/output token limits.
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**Limits:** [Dependent on Copilot subscription tier (Free/Pro/Pro+/Business/Enterprise)](https://docs.github.com/en/github-models/prototyping-with-ai-models#rate-limits)
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- Codestral 25.01
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- Cohere Command A
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- DeepSeek-R1
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- DeepSeek-R1-0528
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- DeepSeek-V3-0324
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- Llama 4 Maverick 17B 128E Instruct FP8
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- Llama 4 Scout 17B 16E Instruct
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- Llama-3.2-11B-Vision-Instruct
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- Llama-3.2-90B-Vision-Instruct
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- Llama-3.3-70B-Instruct
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- Meta-Llama-3.1-405B-Instruct
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- Meta-Llama-3.1-8B-Instruct
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- Ministral 3B
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- Mistral Medium 3 (25.05)
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- Mistral Small 3.1
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- OpenAI GPT-4.1
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- OpenAI GPT-4.1-mini
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- OpenAI GPT-4.1-nano
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- OpenAI GPT-4o
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- OpenAI GPT-4o mini
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- OpenAI Text Embedding 3 (large)
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- OpenAI Text Embedding 3 (small)
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- OpenAI gpt-5
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- OpenAI gpt-5-chat (preview)
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- OpenAI gpt-5-mini
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- OpenAI gpt-5-nano
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- OpenAI o1
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- OpenAI o1-mini
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- OpenAI o1-preview
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- OpenAI o3
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- OpenAI o3-mini
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- OpenAI o4-mini
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- Phi-4
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- Phi-4-mini-instruct
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- Phi-4-mini-reasoning
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- Phi-4-multimodal-instruct
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- Phi-4-reasoning
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### [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai)
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**Limits:** [10,000 neurons/day](https://developers.cloudflare.com/workers-ai/platform/pricing/#free-allocation)
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@@ -341,93 +341,6 @@ def fetch_hyperbolic_models(logger):
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return sorted(ret_models, key=lambda x: x["name"])
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def fetch_github_models(logger):
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logger.info("Fetching GitHub models...")
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all_models_data = []
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page = 1
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total_pages = 1 # Initialize with 1 to start the loop
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while page <= total_pages:
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try:
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url = f"https://github.com/marketplace?type=models&page={page}"
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logger.info(f"Fetching from {url}")
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r = requests.get(
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url,
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headers={
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"Accept": "application/json",
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"Content-Type": "application/json",
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"x-requested-with": "XMLHttpRequest",
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},
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)
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r.raise_for_status()
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data = r.json()
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current_page_models = data.get("results", [])
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if not current_page_models:
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logger.info(f"No models found on page {page}. Stopping.")
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break
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all_models_data.extend(current_page_models)
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total_pages = data.get("totalPages", 0)
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logger.info(
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f"Fetched page {page}/{total_pages}. Found {len(current_page_models)} models on this page."
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)
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if page >= total_pages:
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break
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page += 1
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time.sleep(0.5) # Be respectful to the API
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except requests.exceptions.RequestException as e:
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logger.error(f"Error fetching GitHub models on page {page}: {e}")
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if (
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r.status_code == 404 and page == 1
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): # If first page is 404, likely endpoint changed or no models
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logger.error(
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"Initial request failed (404), assuming no models or endpoint issue."
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)
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return []
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elif (
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r.status_code == 404
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): # If a subsequent page is 404, means we've gone past the last page
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logger.info(f"Reached end of pages (404 on page {page}).")
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break
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# For other errors, break or implement retry logic if desired
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break
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except json.JSONDecodeError as e:
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logger.error(
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f"Error decoding JSON from GitHub models API on page {page}: {e}"
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)
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logger.error(f"Response text: {r.text}")
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break
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logger.info(
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f"Fetched a total of {len(all_models_data)} models from GitHub over {page-1 if page > 1 else 1} page(s)."
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)
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ret_models = []
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for model_data in all_models_data:
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# Ensure model_data is a dictionary and has the required keys
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if (
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isinstance(model_data, dict)
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and "name" in model_data
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and "friendly_name" in model_data
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):
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ret_models.append(
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{
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"id": model_data[
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"name"
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], # Using 'name' as id, can be changed if another field is more suitable
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"name": model_data["friendly_name"],
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}
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)
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else:
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logger.warning(f"Skipping malformed model data: {model_data}")
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ret_models = sorted(ret_models, key=lambda x: x["name"])
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return ret_models
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def fetch_gemini_limits(logger):
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logger.info("Fetching Gemini limits...")
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client = cloudquotas_v1.CloudQuotasClient()
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@@ -652,7 +565,6 @@ def main():
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openrouter_logger = create_logger("OpenRouter")
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google_ai_studio_logger = create_logger("Google AI Studio")
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cloudflare_logger = create_logger("Cloudflare")
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github_logger = create_logger("GitHub")
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hyperbolic_logger = create_logger("Hyperbolic")
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samba_logger = create_logger("SambaNova")
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scaleway_logger = create_logger("Scaleway")
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@@ -667,7 +579,6 @@ def main():
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executor.submit(fetch_openrouter_models, openrouter_logger),
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executor.submit(fetch_hyperbolic_models, hyperbolic_logger),
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executor.submit(fetch_cloudflare_models, cloudflare_logger),
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executor.submit(fetch_github_models, github_logger),
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executor.submit(fetch_samba_models, samba_logger),
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executor.submit(fetch_scaleway_models, scaleway_logger),
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executor.submit(fetch_cohere_models, cohere_logger),
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@@ -677,7 +588,6 @@ def main():
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openrouter_models,
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hyperbolic_models,
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cloudflare_models,
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github_models,
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samba_models,
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scaleway_models,
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cohere_models,
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@@ -690,7 +600,6 @@ def main():
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openrouter_models = fetch_openrouter_models(openrouter_logger)
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hyperbolic_models = fetch_hyperbolic_models(hyperbolic_logger)
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cloudflare_models = fetch_cloudflare_models(cloudflare_logger)
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github_models = fetch_github_models(github_logger)
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samba_models = fetch_samba_models(samba_logger)
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scaleway_models = fetch_scaleway_models(scaleway_logger)
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cohere_models = fetch_cohere_models(cohere_logger)
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@@ -915,17 +824,6 @@ def main():
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model_list_markdown += "- No chat models available right now.\n"
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model_list_markdown += "\n"
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# --- GitHub Models ---
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model_list_markdown += (
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"### [GitHub Models](https://github.com/marketplace/models)\n\n"
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)
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model_list_markdown += "Extremely restrictive input/output token limits.\n\n"
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model_list_markdown += "**Limits:** [Dependent on Copilot subscription tier (Free/Pro/Pro+/Business/Enterprise)](https://docs.github.com/en/github-models/prototyping-with-ai-models#rate-limits)\n\n"
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if github_models:
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for model in github_models:
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model_list_markdown += f"- {model['name']}\n"
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model_list_markdown += "\n"
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# --- Cloudflare Workers AI ---
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model_list_markdown += (
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"### [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai)\n\n"
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