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feat: add (openai, anthropic, gemini) providers via litellm (#1267)
# What does this PR do?
This PR introduces more non-llama model support to llama stack.
Providers introduced: openai, anthropic and gemini. All of these
providers use essentially the same piece of code -- the implementation
works via the `litellm` library.
We will expose only specific models for providers we enable making sure
they all work well and pass tests. This setup (instead of automatically
enabling _all_ providers and models allowed by LiteLLM) ensures we can
also perform any needed prompt tuning on a per-model basis as needed
(just like we do it for llama models.)
## Test Plan
```bash
#!/bin/bash
args=("$@")
for model in openai/gpt-4o anthropic/claude-3-5-sonnet-latest gemini/gemini-1.5-flash; do
LLAMA_STACK_CONFIG=dev pytest -s -v tests/client-sdk/inference/test_text_inference.py \
--embedding-model=all-MiniLM-L6-v2 \
--vision-inference-model="" \
--inference-model=$model "${args[@]}"
done
```
This commit is contained in:
Ashwin Bharambe
GitHub
parent
b0310af177
commit
63e6acd0c3
25 changed files with 1048 additions and 33 deletions
261
llama_stack/templates/dev/run.yaml
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261
llama_stack/templates/dev/run.yaml
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version: '2'
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image_name: dev
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apis:
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- agents
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- datasetio
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- eval
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- inference
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- safety
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- scoring
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- telemetry
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- tool_runtime
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- vector_io
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providers:
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inference:
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- provider_id: openai
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provider_type: remote::openai
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config:
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api_key: ${env.OPENAI_API_KEY:}
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference/v1
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api_key: ${env.FIREWORKS_API_KEY:}
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- provider_id: anthropic
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provider_type: remote::anthropic
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config:
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api_key: ${env.ANTHROPIC_API_KEY:}
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- provider_id: gemini
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provider_type: remote::gemini
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config:
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api_key: ${env.GEMINI_API_KEY:}
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- provider_id: sentence-transformers
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provider_type: inline::sentence-transformers
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config: {}
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vector_io:
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- provider_id: sqlite-vec
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provider_type: inline::sqlite-vec
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config:
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/sqlite_vec.db
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config: {}
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agents:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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persistence_store:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/agents_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
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sinks: ${env.TELEMETRY_SINKS:console,sqlite}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/dev/trace_store.db}
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eval:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config: {}
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datasetio:
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- provider_id: huggingface
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provider_type: remote::huggingface
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config: {}
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- provider_id: localfs
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provider_type: inline::localfs
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config: {}
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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config: {}
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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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config: {}
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- provider_id: braintrust
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provider_type: inline::braintrust
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config:
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openai_api_key: ${env.OPENAI_API_KEY:}
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tool_runtime:
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- provider_id: brave-search
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provider_type: remote::brave-search
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config:
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api_key: ${env.BRAVE_SEARCH_API_KEY:}
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max_results: 3
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- provider_id: tavily-search
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provider_type: remote::tavily-search
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config:
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api_key: ${env.TAVILY_SEARCH_API_KEY:}
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max_results: 3
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- provider_id: code-interpreter
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provider_type: inline::code-interpreter
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config: {}
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- provider_id: rag-runtime
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provider_type: inline::rag-runtime
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config: {}
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- provider_id: model-context-protocol
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provider_type: remote::model-context-protocol
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config: {}
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/registry.db
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models:
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- metadata: {}
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model_id: openai/gpt-4o
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provider_id: openai
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provider_model_id: openai/gpt-4o
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model_type: llm
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- metadata: {}
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model_id: openai/gpt-4o-mini
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provider_id: openai
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provider_model_id: openai/gpt-4o-mini
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model_type: llm
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- metadata: {}
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model_id: openai/chatgpt-4o-latest
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provider_id: openai
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provider_model_id: openai/chatgpt-4o-latest
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model_type: llm
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- metadata:
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embedding_dimension: 1536
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model_id: openai/text-embedding-3-small
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provider_id: openai
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provider_model_id: openai/text-embedding-3-small
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model_type: embedding
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- metadata:
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embedding_dimension: 3072
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model_id: openai/text-embedding-3-large
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provider_id: openai
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provider_model_id: openai/text-embedding-3-large
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model_type: embedding
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- metadata: {}
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model_id: meta-llama/Llama-3.1-8B-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p1-8b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.1-70B-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p1-70b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.1-405B-Instruct-FP8
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p1-405b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-1B-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p2-1b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-3B-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p2-3b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p2-11b-vision-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p2-90b-vision-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.3-70B-Instruct
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-v3p3-70b-instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-Guard-3-8B
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-guard-3-8b
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-Guard-3-11B-Vision
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provider_id: fireworks
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provider_model_id: accounts/fireworks/models/llama-guard-3-11b-vision
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model_type: llm
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- metadata:
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embedding_dimension: 768
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context_length: 8192
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model_id: nomic-ai/nomic-embed-text-v1.5
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provider_id: fireworks
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provider_model_id: nomic-ai/nomic-embed-text-v1.5
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model_type: embedding
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- metadata: {}
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model_id: anthropic/claude-3-5-sonnet-latest
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provider_id: anthropic
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provider_model_id: anthropic/claude-3-5-sonnet-latest
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model_type: llm
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- metadata: {}
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model_id: anthropic/claude-3-7-sonnet-latest
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provider_id: anthropic
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provider_model_id: anthropic/claude-3-7-sonnet-latest
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model_type: llm
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- metadata: {}
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model_id: anthropic/claude-3-5-haiku-latest
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provider_id: anthropic
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provider_model_id: anthropic/claude-3-5-haiku-latest
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model_type: llm
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- metadata:
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embedding_dimension: 1024
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context_length: 32000
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model_id: anthropic/voyage-3
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provider_id: anthropic
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provider_model_id: anthropic/voyage-3
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model_type: embedding
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- metadata:
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embedding_dimension: 512
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context_length: 32000
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model_id: anthropic/voyage-3-lite
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provider_id: anthropic
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provider_model_id: anthropic/voyage-3-lite
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model_type: embedding
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- metadata:
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embedding_dimension: 1024
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context_length: 32000
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model_id: anthropic/voyage-code-3
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provider_id: anthropic
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provider_model_id: anthropic/voyage-code-3
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model_type: embedding
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- metadata: {}
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model_id: gemini/gemini-1.5-flash
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provider_id: gemini
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provider_model_id: gemini/gemini-1.5-flash
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model_type: llm
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- metadata: {}
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model_id: gemini/gemini-1.5-pro
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provider_id: gemini
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provider_model_id: gemini/gemini-1.5-pro
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model_type: llm
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- metadata:
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embedding_dimension: 768
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context_length: 2048
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model_id: gemini/text-embedding-004
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provider_id: gemini
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provider_model_id: gemini/text-embedding-004
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model_type: embedding
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- metadata:
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embedding_dimension: 384
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model_id: all-MiniLM-L6-v2
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provider_id: sentence-transformers
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model_type: embedding
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shields:
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- shield_id: meta-llama/Llama-Guard-3-8B
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vector_dbs: []
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datasets: []
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scoring_fns: []
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benchmarks: []
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tool_groups:
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- toolgroup_id: builtin::websearch
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provider_id: tavily-search
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- toolgroup_id: builtin::rag
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provider_id: rag-runtime
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- toolgroup_id: builtin::code_interpreter
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provider_id: code-interpreter
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server:
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port: 8321
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