mirror of
https://github.com/crewAIInc/crewAI.git
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fix tets
This commit is contained in:
@@ -1457,7 +1457,7 @@ def test_agent_with_ollama_llama3():
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assert agent.llm.model == "ollama/llama3.2:3b"
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assert agent.llm.base_url == "http://localhost:11434"
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task = "Respond in 20 words. Who which model are you?"
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task = "Respond in 20 words. Which model are you?"
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response = agent.llm.call([{"role": "user", "content": task}])
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assert response
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@@ -1473,7 +1473,9 @@ def test_llm_call_with_ollama_llama3():
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temperature=0.7,
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max_tokens=30,
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)
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messages = [{"role": "user", "content": "Respond in 20 words. Who are you?"}]
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messages = [
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{"role": "user", "content": "Respond in 20 words. Which model are you??"}
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]
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response = llm.call(messages)
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@@ -1,864 +1,36 @@
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interactions:
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- request:
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body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Who
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are you?\n\n", "options": {"temperature": 0.7, "num_predict": 30}, "stream":
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body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Which
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model are you??\n\n", "options": {"num_predict": 30, "temperature": 0.7}, "stream":
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false}'
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headers:
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accept:
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Accept:
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accept-encoding:
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Accept-Encoding:
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- gzip, deflate
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connection:
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Connection:
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- keep-alive
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content-length:
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- '155'
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host:
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- localhost:11434
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user-agent:
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- litellm/1.56.6
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Content-Length:
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- '164'
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Content-Type:
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- application/json
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User-Agent:
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- python-requests/2.32.3
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method: POST
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uri: http://localhost:11434/api/generate
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response:
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content: '{"model":"llama3.2:3b","created_at":"2025-01-02T19:54:45.758411Z","response":"I''m
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an AI assistant, here to provide information and assist with tasks to the best
|
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body:
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string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:24:24.812595Z","response":"I''m
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an AI, specifically a large language model, designed to understand and respond
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to user queries with accuracy.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,2724,512,66454,304,220,508,4339,13,16299,1646,527,499,71291,128009,128006,78191,128007,271,40,2846,459,15592,11,11951,264,3544,4221,1646,11,6319,311,3619,323,6013,311,1217,20126,449,13708,13],"total_duration":827817584,"load_duration":41560542,"prompt_eval_count":39,"prompt_eval_duration":384000000,"eval_count":23,"eval_duration":400000000}'
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headers:
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Content-Type:
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- application/json; charset=utf-8
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Date:
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- Thu, 02 Jan 2025 19:54:45 GMT
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http_version: HTTP/1.1
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status_code: 200
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- request:
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body: '{"name": "llama3.2:3b"}'
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headers:
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accept:
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- '*/*'
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accept-encoding:
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- gzip, deflate
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connection:
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- keep-alive
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content-length:
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- '23'
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content-type:
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- application/json
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host:
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- localhost:11434
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user-agent:
|
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- litellm/1.56.6
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method: POST
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uri: http://localhost:11434/api/show
|
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response:
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THEREFROM ARE PROVIDED ON AN \u201CAS IS\u201D BASIS, WITHOUT WARRANTIES OF
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ANY KIND, AND META DISCLAIMS\\nALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND
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IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\\nOF TITLE, NON-INFRINGEMENT,
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MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE\\nFOR
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OF THE POSSIBILITY OF ANY OF THE FOREGOING.\\n\\n5. Intellectual Property.\\n\\n
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with the Llama Materials, \\nneither Meta nor Licensee may use any name or mark
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owned by or associated with the other or any of its affiliates, \\nexcept as
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required for reasonable and customary use in describing and redistributing the
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Llama Materials or as \\nset forth in this Section 5(a). Meta hereby grants
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or harm to children, including the solicitation, creation, acquisition, or dissemination
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Engage in or facilitate any action or generate any content that infringes, misappropriates,
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planning or development of activities that present a risk of death or bodily
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harm to individuals, including use of Llama 3.2 related to the following:\\n
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for materials or activities that are subject to the International Traffic Arms
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Regulations (ITAR) maintained by the United States Department of State or to
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the U.S. Biological Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons
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Convention Implementation Act of 1997\\n 9. Guns and illegal weapons (including
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weapon development)\\n 10. Illegal drugs and regulated/controlled substances\\n
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\ 11. Operation of critical infrastructure, transportation technologies, or
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heavy machinery\\n 12. Self-harm or harm to others, including suicide, cutting,
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and eating disorders\\n 13. Any content intended to incite or promote violence,
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abuse, or any infliction of bodily harm to an individual\\n3. Intentionally
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deceive or mislead others, including use of Llama 3.2 related to the following:\\n
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of disinformation\\n 15. Generating, promoting, or furthering defamatory
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content, including the creation of defamatory statements, images, or other content\\n
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\ 16. Generating, promoting, or further distributing spam\\n 17. Impersonating
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another individual without consent, authorization, or legal right\\n 18.
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Representing that the use of Llama 3.2 or outputs are human-generated\\n 19.
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Generating or facilitating false online engagement, including fake reviews and
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other means of fake online engagement\\n4. Fail to appropriately disclose to
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end users any known dangers of your AI system\\n5. Interact with third party
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tools, models, or software designed to generate unlawful content or engage in
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unlawful or harmful conduct and/or represent that the outputs of such tools,
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models, or software are associated with Meta or Llama 3.2\\n\\nWith respect
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to any multimodal models included in Llama 3.2, the rights granted under Section
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if you are an individual domiciled in, or a company with a principal place of
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business in, the European Union. This restriction does not apply to end users
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that could lead to a violation of this Policy through one of the following means:\\n\\n\\n\\n*
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Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\\n*
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Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama
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3.2: LlamaUseReport@meta.com\",\"modelfile\":\"# Modelfile generated by \\\"ollama
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show\\\"\\n# To build a new Modelfile based on this, replace FROM with:\\n#
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the harassment, abuse, threatening, or bullying of individuals or groups of
|
||||
individuals\\n 2. Engage in, promote, incite, or facilitate discrimination
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||||
or other unlawful or harmful conduct in the provision of employment, employment
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benefits, credit, housing, other economic benefits, or other essential goods
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and services\\n 3. Engage in the unauthorized or unlicensed practice of any
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profession including, but not limited to, financial, legal, medical/health,
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or related professional practices\\n 4. Collect, process, disclose, generate,
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||||
or infer private or sensitive information about individuals, including information
|
||||
about individuals\u2019 identity, health, or demographic information, unless
|
||||
you have obtained the right to do so in accordance with applicable law\\n 5.
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||||
Engage in or facilitate any action or generate any content that infringes, misappropriates,
|
||||
or otherwise violates any third-party rights, including the outputs or results
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||||
of any products or services using the Llama Materials\\n 6. Create, generate,
|
||||
or facilitate the creation of malicious code, malware, computer viruses or do
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||||
anything else that could disable, overburden, interfere with or impair the proper
|
||||
working, integrity, operation or appearance of a website or computer system\\n
|
||||
\ 7. Engage in any action, or facilitate any action, to intentionally circumvent
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||||
or remove usage restrictions or other safety measures, or to enable functionality
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disabled by Meta\\n2. Engage in, promote, incite, facilitate, or assist in the
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planning or development of activities that present a risk of death or bodily
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harm to individuals, including use of Llama 3.2 related to the following:\\n
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\ 8. Military, warfare, nuclear industries or applications, espionage, use
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for materials or activities that are subject to the International Traffic Arms
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Regulations (ITAR) maintained by the United States Department of State or to
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the U.S. Biological Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons
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Convention Implementation Act of 1997\\n 9. Guns and illegal weapons (including
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weapon development)\\n 10. Illegal drugs and regulated/controlled substances\\n
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\ 11. Operation of critical infrastructure, transportation technologies, or
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heavy machinery\\n 12. Self-harm or harm to others, including suicide, cutting,
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and eating disorders\\n 13. Any content intended to incite or promote violence,
|
||||
abuse, or any infliction of bodily harm to an individual\\n3. Intentionally
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deceive or mislead others, including use of Llama 3.2 related to the following:\\n
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\ 14. Generating, promoting, or furthering fraud or the creation or promotion
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of disinformation\\n 15. Generating, promoting, or furthering defamatory
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||||
content, including the creation of defamatory statements, images, or other content\\n
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\ 16. Generating, promoting, or further distributing spam\\n 17. Impersonating
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another individual without consent, authorization, or legal right\\n 18.
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other means of fake online engagement\\n4. Fail to appropriately disclose to
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end users any known dangers of your AI system\\n5. Interact with third party
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tools, models, or software designed to generate unlawful content or engage in
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||||
unlawful or harmful conduct and/or represent that the outputs of such tools,
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||||
models, or software are associated with Meta or Llama 3.2\\n\\nWith respect
|
||||
to any multimodal models included in Llama 3.2, the rights granted under Section
|
||||
1(a) of the Llama 3.2 Community License Agreement are not being granted to you
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if you are an individual domiciled in, or a company with a principal place of
|
||||
business in, the European Union. This restriction does not apply to end users
|
||||
of a product or service that incorporates any such multimodal models.\\n\\nPlease
|
||||
report any violation of this Policy, software \u201Cbug,\u201D or other problems
|
||||
that could lead to a violation of this Policy through one of the following means:\\n\\n\\n\\n*
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||||
Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues\\u0026h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\\n*
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||||
Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\\n*
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Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\\n*
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||||
Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama
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3.2: LlamaUseReport@meta.com\\\"\\n\",\"parameters\":\"stop \\\"\\u003c|start_header_id|\\u003e\\\"\\nstop
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if eq .Role \\\"user\\\" }}\\u003c|start_header_id|\\u003euser\\u003c|end_header_id|\\u003e\\n{{-
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if and $.Tools $last }}\\n\\nGiven the following functions, please respond with
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a JSON for a function call with its proper arguments that best answers the given
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prompt.\\n\\nRespond in the format {\\\"name\\\": function name, \\\"parameters\\\":
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if .ToolCalls }}\\n{{ range .ToolCalls }}\\n{\\\"name\\\": \\\"{{ .Function.Name
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}}\\\", \\\"parameters\\\": {{ .Function.Arguments }}}{{ end }}\\n{{- else }}\\n\\n{{
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.Content }}\\n{{- end }}{{ if not $last }}\\u003c|eot_id|\\u003e{{ end }}\\n{{-
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else if eq .Role \\\"tool\\\" }}\\u003c|start_header_id|\\u003eipython\\u003c|end_header_id|\\u003e\\n\\n{{
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.Content }}\\u003c|eot_id|\\u003e{{ if $last }}\\u003c|start_header_id|\\u003eassistant\\u003c|end_header_id|\\u003e\\n\\n{{
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end }}\\n{{- end }}\\n{{- end }}\",\"details\":{\"parent_model\":\"\",\"format\":\"gguf\",\"family\":\"llama\",\"families\":[\"llama\"],\"parameter_size\":\"3.2B\",\"quantization_level\":\"Q4_K_M\"},\"model_info\":{\"general.architecture\":\"llama\",\"general.basename\":\"Llama-3.2\",\"general.file_type\":15,\"general.finetune\":\"Instruct\",\"general.languages\":[\"en\",\"de\",\"fr\",\"it\",\"pt\",\"hi\",\"es\",\"th\"],\"general.parameter_count\":3212749888,\"general.quantization_version\":2,\"general.size_label\":\"3B\",\"general.tags\":[\"facebook\",\"meta\",\"pytorch\",\"llama\",\"llama-3\",\"text-generation\"],\"general.type\":\"model\",\"llama.attention.head_count\":24,\"llama.attention.head_count_kv\":8,\"llama.attention.key_length\":128,\"llama.attention.layer_norm_rms_epsilon\":0.00001,\"llama.attention.value_length\":128,\"llama.block_count\":28,\"llama.context_length\":131072,\"llama.embedding_length\":3072,\"llama.feed_forward_length\":8192,\"llama.rope.dimension_count\":128,\"llama.rope.freq_base\":500000,\"llama.vocab_size\":128256,\"tokenizer.ggml.bos_token_id\":128000,\"tokenizer.ggml.eos_token_id\":128009,\"tokenizer.ggml.merges\":null,\"tokenizer.ggml.model\":\"gpt2\",\"tokenizer.ggml.pre\":\"llama-bpe\",\"tokenizer.ggml.token_type\":null,\"tokenizer.ggml.tokens\":null},\"modified_at\":\"2024-12-31T11:53:14.529771974-05:00\"}"
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headers:
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Content-Type:
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Date:
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status:
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||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
|
||||
@@ -578,15 +578,6 @@ def test_multiple_docling_sources():
|
||||
assert docling_source.content is not None
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_docling_source_with_local_file():
|
||||
current_dir = Path(__file__).parent
|
||||
pdf_path = current_dir / "crewai_quickstart.pdf"
|
||||
docling_source = CrewDoclingSource(file_paths=[pdf_path])
|
||||
assert docling_source.file_paths == [pdf_path]
|
||||
assert docling_source.content is not None
|
||||
|
||||
|
||||
def test_file_path_validation():
|
||||
"""Test file path validation for knowledge sources."""
|
||||
current_dir = Path(__file__).parent
|
||||
|
||||
Reference in New Issue
Block a user